Feedback on the violence against children with disabilities in a rural population of Upper Egypt: A community-based cross-sectional study

Feedback on the violence against children with disabilities in a rural population of Upper Egypt: A community-based cross-sectional study | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Feedback on the violence against children with disabilities in a rural population of Upper Egypt: A community-based cross-sectional study Wafaa Abdel-Ghaffar Ali, Ahmed Mohamed Gad Allah, Seham Ahmed Abokresha, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7013684/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 20 Nov, 2025 Read the published version in Journal of the Egyptian Public Health Association → Version 1 posted 9 You are reading this latest preprint version Abstract Background: Children with disabilities face heightened violence risks, particularly in resource-limited settings. Despite global evidence, data on violence against children with disabilities in rural Upper Egypt remains scarce. This study aimed to determine the prevalence, types, and family-related risk factors of violence against children with disabilities in this region. Methods: A community-based cross-sectional study was conducted (December 2023–March 2024) in two rural Upper Egypt villages. Using multistage random sampling, 213 children (aged 18–24 years) with disabilities were included. Data were collected via validated structured interviews (ISPCAN tool) and focus group discussions. Results: Participants (54% male, 46% female) primarily had intellectual (50.7%) or physical (33.8%) disabilities. Emotional violence was nearly universal (93.1–100%), followed by physical (73.6–78.6%) and sexual violence (21.1–26.4%). Females experienced higher violence rates (50% vs. 9.6% males, p<0.001). Parental drug abuse (22.6% males vs. 10.2% females, p=0.02) and low socioeconomic status (59.1% vs. 43.9%, p=0.03) were significant risk factors. Intellectual disabilities correlated with elevated sexual violence (25.9%). Perpetrators included parents (35.4–41.8%) and unrelated individuals (44.3–60%). Conclusions: Systemic violence against children with disabilities in rural Upper Egypt is pervasive, driven by poverty, low parental education, and gender disparities. Interventions must address familial and community-level factors, including economic support, parental education, and stricter enforcement of child protection laws. Children Disabilities Rural Risk factors Upper Egypt Violence Introduction Children with disabilities face significantly higher risks of violence compared to their non-disabled peers, with at least 93 million children globally affected by moderate or severe disabilities [1] . Research shows that children with disabilities are 3.4 times more likely to experience maltreatment than their non-disabled counterparts [2] . This vulnerability varies by disability type, with conditions such as, brain injury, speech disability, and physical disability requiring particular attention [3] . Non-sexual child maltreatment has been causally linked to various mental disorders, drug use, suicide attempts, and risky sexual behaviors, emphasizing the serious long-term consequences [4] . Children with disabilities already experience increased risk of mental health difficulties but are often overlooked when designing school-based interventions [5] . The relationship between disability and psychopathology is complex, with much of the elevated risk stemming from increased exposure to psychosocial disadvantage [6] . In Egypt specifically, nearly half of children have been subjected to severe violent disciplinary practices at home [7] . Bayesian geospatial modeling reveals widespread child labor across Egypt, with poverty, neglect, and exposure to violence identified as key drivers particularly affecting children with disabilities [8] . Studies of child homicide in Egypt show perpetrators are predominantly male, especially fathers, with risk factors including low paternal education, separated couples, and rural residency [9] . Despite Egypt's Child Law mandating protection for children from violence, stronger enforcement is needed to eliminate violent disciplinary methods [7] . Health administrations must focus efforts on less educated, rural, and unstable families, evaluating intrafamilial violence risk factors and offering psychological support to potential perpetrators to protect vulnerable children with disabilities [9] . To the best of our knowledge, there is a lack of available data regarding violence against children with disabilities in rural populations of Upper Egypt, as assessed through community-based surveys. The aim of our study was to determine the prevalence, types, magnitude, and frequency of violence against children with disabilities in a rural population of Upper Egypt, as well as to identify reliable family-related risk factors contributing to such violence. Methods Study Designs and Setting A community-based cross-sectional study was conducted on 213 children aged 18-24 years with disabilities from December 2023 to March 2024 in two rural areas of Upper Egypt: El Shikh Shiple and Bnawit villages, located in El Mragha district, Sohag governorate, Egypt. The study locations were selected through a multistage random sampling technique. Initially, Sohag governorate, which comprises 12 districts, was targeted, from which El Mragha district was randomly selected in the first stage. Subsequently, two villages—El Shikh Shiple and Bnawit—were randomly chosen from among the 23 villages within the district during the second stage. According to the Central Agency for Public Mobilization and Statistics [10] , these villages had population sizes exceeding 15,187 and 21,907 inhabitants, respectively. Ethical Consideration: Ethical approval for the study was obtained from the Medical Research Ethics Committee of the Faculty of Medicine at Sohag University, in accordance with institutional standard operating procedures and guidelines. Informed consent was obtained from all participants prior to inclusion in the study. Selection criteria Participants with disabilities included individuals previously diagnosed with physical impairments (those interfering with activities of daily living), cognitive disabilities (intellectual disorders substantially limiting one or more major life functions), and sensory impairments (hearing and visual). The inclusion of diverse disability types enabled comprehensive representation of the target population. The retrospective nature of the study allowed for the collection of data on experiences of violence up to the age of 17 years, providing insights into childhood experiences while mitigating ethical concerns related to interviewing minors about sensitive topics. Data collection was executed in two distinct phases. In the first phase, a comprehensive list of households with disabled individuals was compiled from multiple sources, including the local health office, the local social unit of the Egyptian Ministry of Social Solidarity, and non-governmental organizations dedicated to disability support. Rigorous verification of disability status was performed by contacting households and requesting documentation of impairment. This documentation included hospital records, physician statements, or investigation reports. Households unable to provide such documentation were excluded from the sampling frame to maintain the integrity of the study population. In the second phase, systematic random sampling was employed to recruit participants while ensuring appropriate representation across gender, socioeconomic background, and disability type. The sampling process reflected the prevalence of disabilities within the same age group in the general population. The initial household was randomly selected, and subsequently, every second household was visited following a randomly determined direction. To minimize non-response bias, houses that were unoccupied during the initial visit were revisited on three consecutive days before being excluded from the study. This constituted the third stage of the multistage sampling procedure. Six trained data collectors conducted retrospective interviews with participants regarding experiences of violence, including sexual violence, that occurred prior to reaching 18 years of age. The data collectors received extensive training to sensitively handle the subject matter and to maintain ethical standards throughout the interview process. Participants were thoroughly informed about the nature and objectives of the research, their right to decline participation, and their freedom to discontinue the interview at any time. Informed consent was obtained from all participants, and anonymity and confidentiality were strictly maintained throughout the study. All interviews were conducted in private settings to ensure participant comfort and confidentiality. Two primary data collection tools were utilized: A retrospective structured interview questionnaire adopted from the International Society for the Prevention of Child Abuse and Neglect (ISPCAN) [11] . This instrument was designed to generate predominantly quantitative data concerning the cause, nature, magnitude, and impact of violence experienced by participants. The questionnaire incorporated qualitative and open-ended questions to provide contextual depth and allow participants to detail their personal experiences and observations. The questionnaire was structured into three major sections addressing physical, emotional, and sexual violence. Semi-structured focus group discussions were conducted with relevant stakeholders, including local social specialists from governmental schools, representatives from the Egyptian Ministry of Social Solidarity, and personnel from non-governmental organizations supporting individuals with disabilities. These discussions were instrumental in contextualizing the social and economic environment surrounding children with disabilities and facilitated the exploration of complex and open-ended questions related to the research objectives. Sample size: The sample size calculation was performed using EpI-Info 2002 software statistical package designed by World Health Organization (WHO) and by Centers for Disease Control and Prevention (CDC). The sample size was calculated based on the following considerations: 95% confidence level and the incidence of disabled children exposed to physical violence was 88.8% according to a previous study [12] ± 4.5% confidence limit. Twenty-four cases were added to overcome dropout. Therefore, we recruited 213 cases. Statistical analysis Statistical analysis was done by SPSS v26 (IBM Inc., Chicago, IL, USA). Qualitative variables were presented as frequency and percentage and were analyzed utilizing the Chi-square test. A two tailed P value ≤ 0.05 was considered statistically significant. Results (N=7 tables) The study included 213 children with disabilities (54% male, 46% female) from rural Upper Egypt. Most families had 4–6 children (62%), and over half of the participants were firstborn (51.2%). Socioeconomic status was predominantly low (64.8%), and caregivers were primarily both parents (67.6%) and the remainder were cared for by a single parent or other family members. Intellectual disabilities were the most common (50.7%), followed by physical (33.8%), auditory (8.9%), and visual (6.6%) disabilities. Education levels were notably low, with 51.6% of caregivers being illiterate and only 3.3% attaining university education. These demographics highlight the intersection of poverty, limited education, and caregiving structures in this population. Table 1 Table 1: Socio-demographic characteristics of disabled cases N=213 Gender Male Female 115 (54%) 98 (46%) Number of children in the family 1-3 4-6 > 6 48 (22.5%) 132 (62%) 33 (15.5%) Birth order First Second Third Fourth Fifth or more 109 (51.2%) 49 (23%) 25 (11.7%) 19 (8.9%) 11 (5.2%) Socioeconomic level Low Middle High 138 (64.8%) 46 (21.6%) 29 (13.6%) Level of education Illiterate Primary Preparatory Secondary University 110 (51.6%) 47 (22.1%) 32 (15%) 17 (8%) 7 (3.3%) Type of caregiver One parent Both parent Sister Brother Other 26 (12.2%) 144 (67.6%) 6 (2.8%) 18 (8.5%) 19 (8.9%) Type of disability Physical Intellectual Auditory Visual 72 (33.8%) 108 (50.7%) 19 (8.9%) 14 (6.6%) Data are presented as frequency (%). Significant risk factors for violence included female gender (50% vs. 9.6% males, p<0.001). Among perpetrator categories, “companions” (non‐family members present) were more often implicated in violence against males than females (75.7% vs. 62.2%; p = 0.03). At the family level, parental drug abuse (22.6% of male‐child cases vs. 10.2% of female‐child cases; p = 0.02) and low overall social level (59.1% vs. 43.9%; p = 0.03) were both significantly associated with higher rates of violence. Child factors such as hyperactivity (24.9%) and neonatal complications (42.3%) showed no significant associations. Familial risks like parental unemployment (48.4%) and large family size (22.1%) were prevalent but not statistically significant. These findings underscore the role of external social dynamics and parental behavior in exacerbating violence. Table 2 Table 2: Risk factors associated with violence against children with disabilities in the studied groups Data are presented as frequency (%). * Significant P value < 0.05. Emotional violence was the most prevalent across all disability types (93.1%–100%), followed by physical (73.6%–78.6%) and sexual violence (21.1%–26.4%). Intellectual disability cases experienced the highest rates of sexual violence (25.9%). No significant differences were observed between disability types, suggesting that emotional abuse is pervasive regardless of disability category, while sexual violence disproportionately affects those with intellectual impairments. Table 3 Table 3: Prevalence of the violence form in relation to type of disability in the studied groups Physical Emotional Sexual Types of disabilities Physical Male (n=37) Female (n=35) Total (n=72) 26 (70.3%) 27 (77.1%) 53 (73.6%) 35 (94.6%) 32 (91.4%) 67 (93.1%) 7 (18.9%) 12 (34.3%) 19 (26.4%) Intellectual Male (n=58) Female (n=50) Total (n=108) 41 (70.7%) 39 (78%) 80 (74.1%) 55 (94.8%) 46 (92%) 101 (93.5%) 11 (19%) 17 (34%) 28 (25.9%) Auditory Male (n=12) Female (n=7) Total (n=19) 9 (75%) 5 (71.4%) 14 (73.7%) 11 (91.7%) 6 (85.7%) 17 (89.5%) 2 (16.7%) 2 (28.6%) 4 (21.1%) Visual Male (n=8) Female (n=6) Total (n=14) 6 (75%) 5 (83.3%) 11 (78.6%) 8 (100%) 6 (100%) 14 (100%) 1 (12.5%) 2 (33.3%) 3 (21.4%) 0.7 0.8 0.9 Data are presented as frequency (%). Across all physical abuse modalities—such as hitting, throwing objects, biting, hair‐pulling, and forced posturing—the distribution was remarkably consistent: approximately 27% of children experienced one to two episodes, about 35% experienced three to ten episodes, and roughly over 37% of children experienced physical violence more than 10 times, with hitting (37.9%), locking in confined spaces (39.2%), and denial of food (39.1%) being common. No gender disparities were observed. Notably, severe acts like burning (37.5%) and inserting needles (38.2%) were frequently repeated, indicating systemic and prolonged abuse in this cohort. Table 4 Table 4: The overall frequency of physical violence in the studied groups Types of physical violence Overall frequency P value 1 or 2 times 3 – 10 times More than 10 times Male Female Total Male Female Total Male Female Total Hitting, punching, kicking or beating a child 14(26.9%) 12 (27.9%) 26 (27.4%) 18 (34.6%) 15 (34.9%) 33 (34.7%) 20 (38.5%) 16 (37.2%) 36 (37.9%) 0.9 Throwing them with something 6(26%) 5 (29.4%) 11 (27.5%) 8 (34.8%) 6 (35.3%) 14 (35%) 9 (39.1%) 6 (35.3%) 15 (37.5%) 0.9 Biting 8(26.7%) 6 (27.3%) 14 (26.9%) 11 (36.7%) 8 (36.4%) 19 (36.5%) 11 (36.7%) 8 (36.4%) 19 (36.5%) 0.9 Pulling or cutting their hair 6(25%) 8 (27.6%) 14 (26.4%) 8 (33.3%) 10 (34.5%) 18 (34%) 10 (41.7%) 11 (37.9%) 21 (39.6%) 0.9 Inserting a needle in their bodies 5(26.3%) 4 (26.7%) 9 (26.5%) 7 (36.8%) 5 (33.3%) 12 (35.3%) 7 (36.8%) 6 (40%) 13 (38.2%) 0.9 Muting their breath with their hand or pillow 6(27.3%) 8 (26.7%) 14 (26.9%) 8 (36.4%) 11 (36.7%) 19 (36.5%) 8 (36.4%) 11 (36.7%) 19 (36.5%) 0.9 Burning by hot objects 3(23.1%) 3 (27.3%) 6 (25%) 5 (38.5%) 4 (36.4%) 9 (37.5%) 5 (38.5%) 4 (36.4%) 9 (37.5%) 0.9 Forcing them to sit or stand in an uncomfortable position 9(28.1%) 8 (27.6%) 17 (27.9%) 11 (34.4%) 10 (34.5%) 21 (34.4%) 12 (37.5%) 11 (37.9%) 23 (37.7%) 0.9 Locking a child up in a small room or tying them with rope or chairs 11(26.8%) 9 (27.3%) 20 (27%) 14 (34.1%) 11 (33.3%) 25 (33.8%) 16 (39%) 13 (39.4%) 29 (39.2%) 0.9 Putting hot chili or bitter food or drink in a child mouth 3(27.3%) 2 (22.2%) 5 (25%) 4 (36.4%) 3 (33.3%) 7 (35%) 4 (36.4%) 4 (44.4%) 8 (40%) 0.9 Denying a child food for an extended period of time 10(26.3%) 8 (25.8%) 18 (26.1%) 13 (34.2%) 11 (35.5%) 24 (34.8%) 15 (39.5%) 12 (38.7%) 27 (39.1%) 0.9 Forcing a child to carry out hard or difficult work for the benefit of others 2 (25%) 1 (20%) 3 (23.1%) 3 (37.5%) 2 (40%) 5 (38.5%) 3 (37.5%) 2 (40%) 5 (38.5%) 0.9 Forcing a child to beg and give the money away 1 (20%) 1 (33.3%) 2 (25%) 2 (40%) 1 (33.3%) 3 (37.5%) 2 (40%) 1 (33.3%) 3 (37.5%) 0.9 Data are presented as frequency (%). The pattern was uniform across the 24 emotional abuse items: around 23% of children endured one to two incidents, approximately 33% endured three to ten, and about 44% endured more than ten. Emotional violence was recurrent, with 43%–44% of children subjected to acts such as threats, humiliation, or neglect more than 10 times. Common forms included reproaching for mistakes (43.8%), forced labor (43.3%), and threats of abandonment (44.9%). No gender differences emerged, highlighting the pervasive and chronic nature of psychological abuse across genders. Table 5 Table 5: The overall frequency of emotional violence in the studied groups Types of emotional violence Overall frequency P value 1 or 2 times 3 – 10 times More than 10 times Male Female Total Male Female Total Male Female Total Asking them to do things without discussion 14 (23.3%) 12 (23.1%) 26 (23.2%) 20 (33.3%) 17 (32.7%) 37 (33%) 26 (43.3%) 23 (44.2%) 49 (43.8%) 0.99 Making them feeling estranged and being unfriendly to them 12 (23.5%) 10 (22.2%) 22 (22.9%) 17 (33.3%) 15 (33.3%) 32 (33.3%) 22 (43.1%) 20 (44.4%) 42 (43.8%) 0.98 Didn't listen to them when they talk about themselves 12 (22.2%) 11 (23.9%) 23 (23%) 18 (33.3%) 15 (32.6%) 33 (33%) 24 (44.4%) 20 (43.5%) 44 (44%) 0.98 Interrupting them for a long period 12 (24%) 9 (22%) 21 (23.1%) 16 (32%) 14 (34.1%) 30 (33%) 22 (44%) 18 (43.9%) 40 (44%) 0.96 Insulted, shouted at, ridiculed, shamed and reproaching them for simple mistakes 13 (22.8%) 11 (22.9%) 24 (22.9%) 19 (33.3%) 16 (33.3%) 35 (33.3%) 25 (43.9%) 21 (43.8%) 46 (43.8%) 1 Forced to give away money or possessions 17 (23.6%) 14 (22.6%) 31 (23.1%) 24 (33.3%) 21 (33.9%) 45 (33.6%) 31 (43.1%) 27 (43.5%) 58 (43.3%) 0.99 Ignored, hidden or forbidden from participating in social events 15 (22.7%) 14 (23.7%) 29 (23.2%) 22 (33.3%) 19 (32.2%) 41 (32.8%) 29 (43.9%) 26 (44.1%) 55 (44%) 0.98 Threatening to send them out of home 11 (23.4%) 7 (22.6%) 18 (23.1%) 15 (31.9%) 10 (32.3%) 25 (32.1%) 21 (44.7%) 14 (45.2%) 35 (44.9%) 0.99 Witnessing of severe beating of family member or friends 11 (22.4%) 9 (22.5%) 20 (22.5%) 16 (32.6%) 13 (32.5%) 29 (32.6%) 22 (44.9%) 18 (45%) 40 (44.9%) 1 Calling them out by undesirable descriptions 13 (22.8%) 10 (22.2%) 23 (22.5%) 19 (33.3%) 15 (33.3%) 34 (33.3%) 25 (43.9%) 20 (44.4%) 45 (44.1%) 0.99 Criticizing them on the way they do something 11 (23.9%) 7 (23.3%) 18 (23.7%) 15 (32.6%) 10 (33.3%) 25 (32.9%) 20 (43.5%) 13 (43.3%) 33 (43.4%) 0.99 Forcing them to do things they don't like 13 (22.8%) 10 (23.8%) 23 (23.2%) 19 (33.3%) 14 (33.3%) 33 (33.3%) 25 (43.9%) 18 (42.9%) 43 (43.4%) 0.99 Comparing them with others to reduce their business 14 (23.3%) 10 (23.3%) 24 (23.3%) 20 (33.3%) 14 (32.6%) 34 (33%) 26 (43.3%) 19 (44.2%) 45 (43.7%) 0.99 Depriving them from the thing they like 13 (23.2%) 11 (23.4%) 24 (23.3%) 18 (32.1%) 15 (31.9%) 33 (32%) 25 (44.6%) 21 (44.7%) 46 (44.7%) 1 Making them feel the deprivation of parents' emotion towards them 11 (23.9%) 7 (21.9%) 18 (23.1%) 15 (32.6%) 11 (34.4%) 26 (33.3%) 20 (43.5%) 14 (43.8%) 34 (43.6%) 0.9 Threatening them with ghosts and evil spirits 12 (23.5%) 9 (23.1%) 21 (23.3%) 17 (33.3%) 13 (33.3%) 30 (33.3%) 22 (43.1%) 17 (43.6%) 39 (43.3%) 0.99 Parents do not respond to needs 13 (23.6%) 10 (23.8%) 23 (23.7%) 18 (32.7%) 14 (33.3%) 32 (33%) 24 (43.6%) 18 (42.9%) 42 (43.3%) 0.99 No participation in decision-making 14 (22.2%) 12 (22.6%) 26 (22.4%) 21 (33.3%) 17 (32.1%) 38 (32.8%) 28 (44.4%) 24 (45.3%) 52 (44.8%) 0.99 Parental preferential prejudice towards sibling(s) 14 (23%) 11 (23.4%) 25 (23.1%) 20 (32.8%) 16 (34%) 36 (33.3%) 27 (44.3%) 20 (42.6%) 47 (43.5%) 0.98 Neglected when sick 11 (22.4%) 8 (22.9%) 19 (22.6%) 16 (32.7%) 12 (34.3%) 28 (33.3%) 22 (44.9%) 15 (42.9%) 37 (44%) 0.98 Threatened to be hurt or killed 15 (23.4%) 11 (22.4%) 26 (23%) 21 (32.8%) 16 (32.7%) 37 (32.7%) 28 (43.8%) 22 (44.9%) 50 (44.2%) 0.99 Told (wish you had never been born/or were dead) 16 (22.9%) 14 (23.7%) 30 (23.3%) 23 (32.9%) 19 (32.2%) 42 (32.6%) 31 (44.3%) 26 (44.1%) 57 (44.2%) 0.99 Told they were unloved 13 (22.8%) 11 (22.9%) 24 (22.9%) 19 (33.3%) 16 (33.3%) 35 (33.3%) 25 (43.9%) 21 (43.8%) 46 (43.8%) 1 Data are presented as frequency (%). Excluding forced circumcision and forced marriage—both reported as singular events (100% in the one‐to‐two incidence category)—other behaviors (e.g., sexual insults, exposure to sexual acts, indecent touching, forced sexual activity) followed a similar pattern to other abuse forms: roughly 20% of children experienced one to two episodes, 27% experienced three to ten, and about 50% experienced more than ten. Sexual violence was predominantly recurrent (>10 times: 48.6%–53.8%), particularly forced genital touching (53.8%) and exposure to sexual scenes (50%). Forced circumcision (100%) and marriage (100%) were single-occurrence events. Rates of forced intercourse (53.3% female vs. 50% males). No statistically significant gender differences were observed for any sexual violence category. Table 6 Table 6: The overall frequency of sexual violence in the studied groups Types of sexual violence Overall frequency P value 1 or 2 times 3 – 10 times More than 10 times Male Female Total Male Female Total Male Female Total Insulting them by sexual terms 3 (18.8%) 4 (19%) 7 (18.9%) 4 (25%) 6 (28.6%) 10 (27%) 7 (43.8%) 11 (52.4%) 18 (48.6%) 0.98 Someone exposes their private parts to the child with disability 3 (25%) 4 (23.5%) 7 (24.1%) 3 (25%) 5 (29.4%) 8 (27.6%) 6 (50%) 8 (47.1%) 14 (48.3%) 0.96 Forcing them to see sexual scenes 3 (21.4%) 4 (20%) 7 (20.6%) 4 (28.6%) 6 (30%) 10 (29.4%) 7 (50%) 10 (50%) 17 (50%) 0.99 Having their genitals touched or fondled (indecently touched) 3 (20%) 5 (20.8%) 8 (20.5%) 4 (26.7%) 6 (25%) 10 (25.6%) 8 (53.3%) 13 (54.2%) 21 (53.8%) 0.99 Forcing them to touch the abuser's genitals 3 (23.1%) 4 (21.1%) 7 (21.9%) 4 (30.8%) 5 (26.3%) 9 (28.1%) 6 (46.2%) 10 (52.6%) 16 (50%) 0.93 Trying to embrace and kiss them 3 (23.1%) 5 (22.7%) 8 (22.9%) 4 (30.8%) 6 (27.3%) 10 (28.6%) 6 (46.2%) 11 (50%) 17 (48.6%) 0.97 Forcing them to circumcise 18 (100%) 29 (100%) 47 (100%) 0 0 0 0 0 0 ---- Forcing them into marriage 6 (100%) 9 (100%) 15 (100%) 0 0 0 0 0 0 ---- Forced to have intercourse 2 (25%) 3 (20%) 5 (21.7%) 2 (25%) 4 (26.7%) 6 (26.1%) 4 (50%) 8 (53.3%) 12 (52.2%) 0.96 Data are presented as frequency (%). Mothers (34.8%–41.8%), fathers (35.4%–38.2%), and unrelated children (44.3%–60%) were frequent perpetrators. Fathers showed significant involvement in sexual violence (p=0.02) as did the “other” perpetrator category (p = 0.02), while unrelated children dominated emotional abuse (56.7%). Strangers and adult neighbors were also prominent, particularly in physical (41.1%) and sexual violence (50.9%). The data emphasizes specific risk patterns for familial and non‐familial actors in the context of sexual abuse. Table 7 Table 7: The perpetrator of different types of violence in the studied groups Perpetrator of different types of violence Percent of perpetrator in each type of violence P value Physical violence Emotional violence Sexual violence Male (n=82) Female (n=76) Total (n=158) Male (n=110) Female (n=91) Total (n=201) Male (n=21) Female (n=34) Total (n=55) Mother 22 (26.8%) 33 (43.4%) 55 (34.8%) 20 (18.2%) 35 (38.5%) 55 (27.4%) 5 (23.8%) 18 (52.9%) 23 (41.8%) 0.3 Father 29 (35.4%) 27 (35.5%) 56 (35.4%) 45 (40.9%) 28 (30.8%) 73 (36.3%) 6 (28.6%) 15 (44.1%) 21 (38.2%) 0.02* Stepmother 12 (14.6%) 21 (27.6%) 33 (20.9%) 13 (11.8%) 23 (25.3%) 36 (17.9%) 4 (19%) 13 (38.2%) 17 (30.9%) 0.6 Stepfather 3 (3.7%) 10 (13.2%) 13 (8.2%) 4 (3.6%) 3 (3.3%) 7 (3.5%) 1 (4.8%) 9 (26.5%) 10 (18.2%) 0.08 Sister 23 (28%) 25 (32.9%) 48 (30.4%) 23 (20.9%) 40 (44%) 63 (31.3%) 2 (9.5%) 10 (29.4%) 12 (21.8%) 0.1 Brother 20 (24.4%) 33 (43.4%) 53 (33.5%) 32 (29.1%) 45 (49.5%) 77 (38.3%) 5 (23.8%) 14 (41.2%) 19 (34.5%) 0.47 Unrelated children 31 (37.8%) 39 (51.3%) 70 (44.3%) 67 (60.9%) 47 (51.6%) 114 (56.7%) 14 (66.7%) 19 (55.9%) 33 (60%) 0.08 Adult neighbor 40 (48.8%) 25 (32.9%) 65 (41.1%) 48 (43.6%) 43 (47.3%) 91 (45.3%) 12 (57.1%) 16 (47.1%) 28 (50.9%) 0.2 Teacher 28 (34.1%) 26 (34.2%) 54 (34.2%) 22 (20%) 21 (23.1%) 43 (21.4%) 3 (14.3%) 6 (17.6%) 9 (16.4%) 0.5 Stranger 22 (26.8%) 33 (43.4%) 55 (34.8%) 20 (18.2%) 35 (38.5%) 55 (27.4%) 5 (23.8%) 18 (47.1%) 19 (34.5%) 0.3 Other 29 (35.4%) 27 (35.5%) 56 (35.4%) 45 (40.9%) 28 (30.8%) 73 (36.3%) 6 (28.6%) 15 (32.4%) 17 (30.9%) 0.02* Data are presented as frequency (%). * Significant P value < 0.05. Discussion Our study identified several sociodemographic characteristics that create vulnerability contexts for children with disabilities in rural Upper Egypt. Most children came from families with low socioeconomic status and had caregivers with high illiteracy rates. The gender distribution was relatively balanced, with a slight male predominance. Intellectual disabilities constituted the most common disability type, aligning with findings from Elklit et al. [ 3 ] who connected intellectual disabilities with increased victimization risk. Most families in our sample had multiple children and maintained dual-parent caregiving structures, creating complex caregiving environments that influence vulnerability patterns. This sociodemographic profile exemplifies what Kyegombe et al. [ 13 ] describe as the "intersectionality of disadvantage" where disability, poverty, and limited education collectively heighten vulnerability to violence. The high proportion of firstborn children with disabilities suggests challenges in early parenting experiences, a factor that Cuartas et al. [ 14 ] emphasize as critical in violence prevention. These findings reinforce Banks et al. [ 15 ] observation that child protection mechanisms in resource-limited settings often remain underdeveloped and particularly non-inclusive of disability needs. Our results revealed significant gender disparities in violence exposure, with females experiencing higher rates than males. This contrasts with Elklit et al. [ 3 ] , who found boys with disabilities were more frequently victimized in criminal contexts, suggesting context-dependent gender dimensions in violence patterns. We found significant associations between parental drug abuse and violence in the male cohort, paralleling Elklit et al. [ 3 ] identification of parental characteristics as key risk multipliers. The relationship between low social status and increased violence aligns with Fang et al. [ 16 ] meta-analysis highlighting heightened vulnerability in economically disadvantaged contexts. Unlike Koivula et al. [ 17 ] , who identified neurological or psychological conditions as particularly associated with maternal psychological aggression, our study found no significant associations with child factors such as hyperactivity or neonatal complications. The role of non-family "companions" in perpetrating violence against male children highlights the external social risks identified by Njelesani et al. [ 18 ] , who noted that community participation patterns shape violence exposure. Our study revealed remarkably consistent patterns of violence across disability categories, with emotional violence being nearly universal, followed by physical and sexual violence. This pattern aligns with Fang et al. [ 16 ] global meta-analysis reporting substantial violence prevalence among children with disabilities. Unlike Elklit et al. [ 3 ] who identified varying risk levels by disability type, our study found no significant differences between disability categories, suggesting what Njelesani [ 19 ] describes as "disability-based violence" where the presence of any disability, rather than the specific type, becomes the primary vulnerability factor. However, our finding that intellectual disability cases experienced the highest rates of sexual violence corresponds with Elklit et al. [ 3 ] conclusion regarding heightened sexual victimization risk in this population. These findings support Jones et al. [ 1 ] analysis showing children with disabilities are significantly more likely to experience violence overall, with varying odds ratios for physical and sexual violence. The pervasiveness of emotional violence across all disability types indicates a concerning normalization of psychological maltreatment, as identified by Banks et al. [ 15 ] in their qualitative exploration of violence experiences. Our analysis revealed disturbing patterns of repetitive physical abuse, with many children experiencing severe physical violence multiple times. The distribution pattern shows approximately equal proportions experiencing few, moderate, or numerous episodes, suggesting established patterns of recurring abuse. This chronic exposure aligns with Seppälä et al. [ 20 ] findings that children with multiple disabilities face substantially higher risk of serious violence compared to non-disabled peers. The prevalence of particularly harmful acts like burning and inserting needles indicates what Omer et al. [ 12 ] described as severe physical maltreatment. The absence of significant gender differences in physical violence frequency diverges somewhat from broader patterns noted by Elklit et al. [ 3 ] . The high frequency of confinement practices and food denial represents the intersection of physical punishment and neglect described by Njelesani et al. [ 18 ] in West African contexts. This combination of frequency and severity suggests deeply entrenched patterns of physical abuse requiring targeted intervention, aligning with Pundir et al. [ 21 ] emphasis on contextually appropriate violence reduction strategies. Emotional violence in our study demonstrated a pervasive and recurring nature, with a substantial proportion of children experiencing numerous episodes of various forms of emotional abuse. This finding aligns with Banks et al. [ 15 ] , who identified verbal abuse as among the most common forms of violence experienced by children with disabilities. The recurrent nature of specific emotional violence types—including reproaching for mistakes, forced labor, and threats of abandonment—reveals deeply embedded patterns of psychological maltreatment. These patterns correspond with Koivula et al. [ 17 ] observation that mothers of children with disabilities reported significantly higher levels of psychological aggression. The absence of gender differences in emotional violence frequency indicates the universality of this abuse form, consistent with Njelesani et al. [ 22 ] findings that stigmatizing beliefs about disability, rather than gender, often drive emotional maltreatment. The frequency distribution pattern suggests systematic, recurring emotional abuse rather than isolated incidents, corresponding with Devries et al. [ 23 ] observations of high baseline rates of violence in school settings for students with disabilities. Our findings revealed concerning patterns of sexual violence, with approximately half of affected children experiencing numerous episodes. This chronic exposure aligns with Jones et al. [ 1 ] meta-analysis identifying substantial prevalence of sexual violence against children with disabilities and significantly elevated risk compared to non-disabled peers. The high recurrence of forced genital touching and exposure to sexual scenes indicates systematic sexual abuse patterns, corresponding with Elklit et al. [ 3 ] findings of heightened sexual victimization risk, particularly among children with intellectual disabilities. Certain forms of sexual violence—forced circumcision and forced marriage—were experienced as singular events, representing distinct cultural practices with long-term consequences. The similar rates of forced intercourse between genders contrast with common assumptions about gender-based patterns in sexual violence, suggesting what Fang et al. [ 16 ] described as complex intersections between disability status and other vulnerability factors. The distribution pattern across sexual violence forms indicates recurring victimization rather than isolated incidents, supporting Kyegombe et al. [ 13 ] emphasis on specialized protection mechanisms for children with disabilities. Our analysis revealed complex perpetrator patterns with both familial and non-familial actors significantly involved. Mothers, fathers, and unrelated children emerged as frequent perpetrators, with specific patterns across violence types. The significant involvement of fathers in sexual violence represents a particularly concerning finding, adding nuance to Koivula et al. [ 17 ] focus on maternal aggression. The prominence of strangers and adult neighbors, particularly in physical and sexual violence, corresponds with Njelesani et al. [ 18 ] identification of community-level perpetrators. The dominance of unrelated children in emotional abuse aligns with Njelesani et al. [ 24 ] observations of peer-perpetrated violence against students with disabilities in Zambian schools. The significant involvement of "other" perpetrator categories in sexual violence suggests what Kyegombe et al. [ 13 ] describe as the complex web of potential perpetrators that child protection systems must address. These diverse perpetrator patterns support Banks et al. [ 15 ] conclusion that protection mechanisms must operate at multiple levels to effectively safeguard children with disabilities. The high involvement of both family members and unrelated individuals in all violence forms underscores Cuartas et al. [ 14 ] emphasis on multi-component interventions addressing both familial and community factors to prevent violence against vulnerable children. This study has several limitations that may influence the interpretation of its findings. The retrospective design and reliance on self-reported data introduce potential recall and social desirability biases, as participants may not accurately remember past events or may alter their responses to align with social expectations. The sample, drawn from two rural villages, limits the generalizability of the results to broader populations. Verification of disability through official documentation may exclude individuals without formal records, leading to an underestimation of disability prevalence, especially in rural or low-resource settings where bureaucratic barriers, stigma, or poverty hinder access to such documentation. The cross-sectional approach precludes causal inferences, making it impossible to determine the directionality of associations between variables. Cultural nuances in violence reporting and tool adaptation may affect data accuracy, as the ISPCAN tool may not fully capture the cultural context of violence in the study area. Additionally, potential underreporting of sensitive issues and focus on specific disabilities could influence prevalence estimates, as individuals may be reluctant to disclose experiences of violence, and the study's focus may not encompass all types of disabilities. These factors should be considered when interpreting findings and designing future research. Conclusions The study reveals high rates of emotional, physical, and sexual violence against children with disabilities in rural Upper Egypt, particularly affecting females and those with intellectual disabilities. Key risk factors include low socioeconomic status, parental drug abuse, and non-familial perpetrators. Findings underscore the urgent need for multi-level interventions: strengthening legal enforcement, community education, and family support systems. Addressing the intersection of poverty, disability stigma, and systemic neglect is critical to safeguarding this vulnerable population and aligning with global child protection frameworks. Declarations Financial support and sponsorship: Nil Conflict of Interest: Nil Author Contribution Seham and Wafaa wrote the main manuscript text.Ahmed and Abdel Rahman collected the data and prepared tables.All authors reviewed the manuscript. Acknowledgement: There is none to be declared. Data Availability Data is provided within the manuscript or supplementary information files References Jones L, Bellis MA, Wood S, et al. Prevalence and risk of violence against children with disabilities: A systematic review and meta-analysis of observational studies. Lancet. 2012;380:899-907. https://doi.org/10.1016/S0140-6736(12)60692-8 Sullivan PM, Knutson JF. Maltreatment and disabilities: A population-based epidemiological study. Child Abuse Negl. 2000;24:1257-73. https://doi.org/10.1016/s0145-2134(00)00190-3 Elklit A, Murphy S, Skovgaard C, et al. Physical violence against children with disabilities: A Danish national birth cohort prospective study. Eur J Psychotraumatol. 2023;14:217-52. https://doi.org/10.1080/20008066.2023.2173764 Norman RE, Byambaa M, De R, et al. The long-term health consequences of child physical abuse, emotional abuse, and neglect: A systematic review and meta-analysis. PLoS Med. 2012;9:20-5. https://doi.org/10.1371/journal.pmed.1001349 McMillan JM, Jarvis JM. Mental health and students with disabilities: A review of literature. Aust J Guid Couns. 2023;23:236-51. https://doi.org/10.1017/jgc.2013.14 Emerson E, Hatton C. Mental health of children and adolescents with intellectual disabilities in Britain. Br J Psychiatry. 2007;191:493-9. https://doi.org/10.1192/bjp.bp.107.038729 Abdel-Fatah NA. Determinants of severe physical disciplinary practices against children in Egypt. Child Abuse Negl. 2021;111:104-52. https://doi.org/10.1016/j.chiabu.2020.104821 Khatab K, Raheem MA, Sartorius B, et al. Prevalence and risk factors for child labour and violence against children in Egypt using Bayesian geospatial modelling with multiple imputation. PLoS One. 2019;14:89-99. https://doi.org/10.1371/journal.pone.0212715 Gad El-Hak SA, Ali MA, Abo El-Atta HM. Child deaths from family violence in Dakahlia and Damiatta Governorates, Egypt. J Forensic Leg Med. 2009;16:388-91. https://doi.org/10.1016/j.jflm.2009.04.010 CAPMAS. Central agency for public mobilization and statistics. Egypt; 2021. Dunne MP, Zolotor AJ, Runyan DK, et al. ISPCAN Child Abuse Screening Tools Retrospective version (ICAST-R): Delphi study and field testing in seven countries. Child Abuse Negl. 2009;33:815-25. https://doi.org/10.1016/j.chiabu.2009.09.005 Omer NS, Fahmy HD, Sharkawy SA-H, et al. Incidence of violence against some disabled children in assiut city. Assiut Sci Nurs J. 2019;7:64-72. https://doi.org/10.21608/asnj.2019.61150 Kyegombe N, Banks LM, Kelly S, et al. How to conduct good quality research on violence against children with disabilities: Key ethical, measurement, and research principles. BMC Public Health. 2019;19:11-33. https://doi.org/10.1186/s12889-019-7456-z Cuartas J, Salazar A, Backhaus S, et al. Strategies to prevent violence against children in the home: A systematic review of reviews. Trauma Violence Abuse. 2024;25:3419-33. https://doi.org/ 10.1177/15248380241247018 Banks LM, Kelly SA, Kyegombe N, et al. If he could speak, he would be able to point out who does those things to him: Experiences of violence and access to child protection among children with disabilities in Uganda and Malawi. PloS One. 2017;12:28-33. https://doi.org/10.1371/journal.pone.0183736 Fang Z, Cerna-Turoff I, Zhang C, et al. Global estimates of violence against children with disabilities: An updated systematic review and meta-analysis. Lancet Child Adolesc Health. 2022;6:313-23. https://doi.org/10.1016/S2352-4642(22)00033-5 Koivula T, Ellonen N, Janson S, et al. Psychological and physical violence towards children with disabilities in Finland and Sweden. J Child Health Care. 2018;22:317-31. https://doi.org/10.1177/1367493518757379 Njelesani J, Hashemi G, Cameron C, et al. From the day they are born: A qualitative study exploring violence against children with disabilities in West Africa. BMC Public Health. 2018;18:153-77. https://doi.org/10.1186/s12889-018-5057-x Njelesani J. A child who is hidden has no rights: Responses to violence against children with disabilities. Child Abuse Negl. 2019;89:58-69. https://doi.org/10.1016/j.chiabu.2018.12.024 Seppälä P, Vornanen R, Toikko T. Are children with a number of disabilities and long-term illnesses at increased risk of mental violence, disciplinary violence, and serious violence? J Interpers Violence. 2021;36:11409-34. https://doi.org/10.1177/0886260519898440 Pundir P, Saran A, White H, et al. Interventions for reducing violence against children in low‐and middle‐income countries: An evidence and gap map. Campbell Syst Rev. 2020;16:11-20. https://doi.org/10.1002/cl2.1120 Njelesani J, Lai J, Gigante CM, et al. Will you protect me or make the situation worse?: Teachers’ responses to school violence against students with disabilities. J Interpers Violence. 2021;37:21723-48. https://doi.org/10.1177/08862605211062996 Devries K, Kuper H, Knight L, et al. Reducing physical violence toward primary school students with disabilities. J Adolesc Health. 2018;62:303-10. https://doi.org/10.1016/j.jadohealth.2017.09.004 Njelesani J, Si J, Swarm D. Unreported and unaddressed: Students with disabilities experience of school violence in Zambia. Afr J Disabil. 2022;11:84- 99. https://doi.org/10.4102/ajod.v11i0.849 Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 20 Nov, 2025 Read the published version in Journal of the Egyptian Public Health Association → Version 1 posted Editorial decision: Revision requested 12 Aug, 2025 Reviews received at journal 10 Aug, 2025 Reviewers agreed at journal 05 Aug, 2025 Reviews received at journal 03 Aug, 2025 Reviewers agreed at journal 27 Jul, 2025 Reviewers invited by journal 27 Jul, 2025 Editor assigned by journal 21 Jul, 2025 Submission checks completed at journal 21 Jul, 2025 First submitted to journal 17 Jul, 2025 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-7013684","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":491569647,"identity":"47185b21-ca8d-4219-89f9-45048a7eb537","order_by":0,"name":"Wafaa Abdel-Ghaffar Ali","email":"","orcid":"","institution":"Sohag University","correspondingAuthor":false,"prefix":"","firstName":"Wafaa","middleName":"Abdel-Ghaffar","lastName":"Ali","suffix":""},{"id":491569648,"identity":"c19e50e7-c70b-4b84-80f1-9e8fdeb7208d","order_by":1,"name":"Ahmed Mohamed Gad Allah","email":"","orcid":"","institution":"Al- Azhar University (Assiut branch)","correspondingAuthor":false,"prefix":"","firstName":"Ahmed","middleName":"Mohamed Gad","lastName":"Allah","suffix":""},{"id":491569650,"identity":"a76b732f-31bd-47a6-98fd-735cf896bfc4","order_by":2,"name":"Seham Ahmed Abokresha","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA6UlEQVRIiWNgGAWjYFACHhBxgIGPmYfxAYhBvBY2Zh5mAxK1MPCwSRClRb699+CnG7/uyLOx8x6r5qm5I8fPwPzw0Q08WgzOnEuWzu17ZtjGzJd2m+fYM2PJBjZj4xx8WiRyDKRzew4ztjHzmN3mYTucuOEAD5s0Pi3y898Y/wZqsQdpKeb5R4QWhhs8ZtI5Pw4ngrQw87YRocXgTI6ZdW7D4WSgX5Il5/YdNpZsJuAX+fYzxrdz/hy27ec/e/DDm2+H5fjZmx8+xuswEGBsg9BM4DhiJqQcDP5Atf4gSvUoGAWjYBSMNAAASF5NyyJyvbAAAAAASUVORK5CYII=","orcid":"","institution":"Sohag University","correspondingAuthor":true,"prefix":"","firstName":"Seham","middleName":"Ahmed","lastName":"Abokresha","suffix":""},{"id":491569652,"identity":"5f60cedb-6ae1-499d-a5af-c7f4b3f57db4","order_by":3,"name":"Abdel Rahman Z. Abdel Rahman","email":"","orcid":"","institution":"Al- Azhar University (Assiut branch)","correspondingAuthor":false,"prefix":"","firstName":"Abdel","middleName":"Rahman Z. Abdel","lastName":"Rahman","suffix":""}],"badges":[],"createdAt":"2025-06-30 19:23:09","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-7013684/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-7013684/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1186/s42506-025-00200-3","type":"published","date":"2025-11-20T15:56:56+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":96650136,"identity":"3c96499d-c1de-47c7-83ef-a3de6204d558","added_by":"auto","created_at":"2025-11-24 16:08:33","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":2516805,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7013684/v1/19543450-d68a-40ca-97b6-cd1c854950a0.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Feedback on the violence against children with disabilities in a rural population of Upper Egypt: A community-based cross-sectional study","fulltext":[{"header":"Introduction","content":"\u003cp\u003eChildren with disabilities face significantly higher risks of violence compared to their non-disabled peers, with at least 93 million children globally affected by moderate or severe disabilities \u003csup\u003e[1]\u003c/sup\u003e. Research shows that children with disabilities are 3.4 times more likely to experience maltreatment than their non-disabled counterparts \u003csup\u003e[2]\u003c/sup\u003e. This vulnerability varies by disability type, with conditions such as, brain injury, speech disability, and physical disability requiring particular attention \u003csup\u003e[3]\u003c/sup\u003e.\u003c/p\u003e\n\u003cp\u003eNon-sexual child maltreatment has been causally linked to various mental disorders, drug use, suicide attempts, and risky sexual behaviors, emphasizing the serious long-term consequences \u003csup\u003e[4]\u003c/sup\u003e. Children with disabilities already experience increased risk of mental health difficulties but are often overlooked when designing school-based interventions \u003csup\u003e[5]\u003c/sup\u003e. The relationship between disability and psychopathology is complex, with much of the elevated risk stemming from increased exposure to psychosocial disadvantage \u003csup\u003e[6]\u003c/sup\u003e.\u003c/p\u003e\n\u003cp\u003eIn Egypt specifically, nearly half of children have been subjected to severe violent disciplinary practices at home \u003csup\u003e[7]\u003c/sup\u003e. Bayesian geospatial modeling reveals widespread child labor across Egypt, with poverty, neglect, and exposure to violence identified as key drivers particularly affecting children with disabilities \u003csup\u003e[8]\u003c/sup\u003e. Studies of child homicide in Egypt show perpetrators are predominantly male, especially fathers, with risk factors including low paternal education, separated couples, and rural residency \u003csup\u003e[9]\u003c/sup\u003e.\u003c/p\u003e\n\u003cp\u003eDespite Egypt's Child Law mandating protection for children from violence, stronger enforcement is needed to eliminate violent disciplinary methods \u003csup\u003e[7]\u003c/sup\u003e. Health administrations must focus efforts on less educated, rural, and unstable families, evaluating intrafamilial violence risk factors and offering psychological support to potential perpetrators to protect vulnerable children with disabilities \u003csup\u003e[9]\u003c/sup\u003e.\u003c/p\u003e\n\u003cp\u003eTo the best of our knowledge, there is a lack of available data regarding violence against children with disabilities in rural populations of Upper Egypt, as assessed through community-based surveys.\u003c/p\u003e\n\u003cp\u003eThe aim of our study was to determine the prevalence, types, magnitude, and frequency of violence against children with disabilities in a rural population of Upper Egypt, as well as to identify reliable family-related risk factors contributing to such violence.\u003c/p\u003e"},{"header":"Methods","content":"\u003cp\u003e\u003cstrong\u003eStudy Designs and Setting\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eA community-based cross-sectional study was conducted on 213 children aged 18-24 years with disabilities from December 2023 to March 2024 in two rural areas of Upper Egypt: El Shikh Shiple and Bnawit villages, located in El Mragha district, Sohag governorate, Egypt. The study locations were selected through a multistage random sampling technique. Initially, Sohag governorate, which comprises 12 districts, was targeted, from which El Mragha district was randomly selected in the first stage. Subsequently, two villages\u0026mdash;El Shikh Shiple and Bnawit\u0026mdash;were randomly chosen from among the 23 villages within the district during the second stage. According to the Central Agency for Public Mobilization and Statistics \u003csup\u003e[10]\u003c/sup\u003e, these villages had population sizes exceeding 15,187 and 21,907 inhabitants, respectively.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthical Consideration:\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eEthical approval for the study was obtained from the Medical Research Ethics Committee of the Faculty of Medicine at Sohag University, in accordance with institutional standard operating procedures and guidelines. Informed consent was obtained from all participants prior to inclusion in the study.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eSelection criteria\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eParticipants with disabilities included individuals previously diagnosed with physical impairments (those interfering with activities of daily living), cognitive disabilities (intellectual disorders substantially limiting one or more major life functions), and sensory impairments (hearing and visual). The inclusion of diverse disability types enabled comprehensive representation of the target population.\u003c/p\u003e\n\u003cp\u003eThe retrospective nature of the study allowed for the collection of data on experiences of violence up to the age of 17 years, providing insights into childhood experiences while mitigating ethical concerns related to interviewing minors about sensitive topics.\u003c/p\u003e\n\u003cp\u003eData collection was executed in two distinct phases. In the first phase, a comprehensive list of households with disabled individuals was compiled from multiple sources, including the local health office, the local social unit of the Egyptian Ministry of Social Solidarity, and non-governmental organizations dedicated to disability support. Rigorous verification of disability status was performed by contacting households and requesting documentation of impairment. This documentation included hospital records, physician statements, or investigation reports. Households unable to provide such documentation were excluded from the sampling frame to maintain the integrity of the study population.\u003c/p\u003e\n\u003cp\u003eIn the second phase, systematic random sampling was employed to recruit participants while ensuring appropriate representation across gender, socioeconomic background, and disability type. The sampling process reflected the prevalence of disabilities within the same age group in the general population. The initial household was randomly selected, and subsequently, every second household was visited following a randomly determined direction. To minimize non-response bias, houses that were unoccupied during the initial visit were revisited on three consecutive days before being excluded from the study. This constituted the third stage of the multistage sampling procedure.\u003c/p\u003e\n\u003cp\u003eSix trained data collectors conducted retrospective interviews with participants regarding experiences of violence, including sexual violence, that occurred prior to reaching 18 years of age. The data collectors received extensive training to sensitively handle the subject matter and to maintain ethical standards throughout the interview process. Participants were thoroughly informed about the nature and objectives of the research, their right to decline participation, and their freedom to discontinue the interview at any time. Informed consent was obtained from all participants, and anonymity and confidentiality were strictly maintained throughout the study. All interviews were conducted in private settings to ensure participant comfort and confidentiality.\u003c/p\u003e\n\u003cp\u003eTwo primary data collection tools were utilized:\u003c/p\u003e\n\u003cul\u003e\n \u003cli\u003eA retrospective structured interview questionnaire adopted from the International Society for the Prevention of Child Abuse and Neglect (ISPCAN) \u003csup\u003e[11]\u003c/sup\u003e. This instrument was designed to generate predominantly quantitative data concerning the cause, nature, magnitude, and impact of violence experienced by participants. The questionnaire incorporated qualitative and open-ended questions to provide contextual depth and allow participants to detail their personal experiences and observations. The questionnaire was structured into three major sections addressing physical, emotional, and sexual violence.\u003c/li\u003e\n \u003cli\u003eSemi-structured focus group discussions were conducted with relevant stakeholders, including local social specialists from governmental schools, representatives from the Egyptian Ministry of Social Solidarity, and personnel from non-governmental organizations supporting individuals with disabilities. These discussions were instrumental in contextualizing the social and economic environment surrounding children with disabilities and facilitated the exploration of complex and open-ended questions related to the research objectives.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e\u003cstrong\u003eSample size:\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe sample size calculation was performed using EpI-Info 2002 software statistical package designed by World Health Organization (WHO) and by Centers for Disease Control and Prevention (CDC).\u003c/p\u003e\n\u003cp\u003eThe sample size was calculated based on the following considerations: 95% confidence level and the incidence of disabled children exposed to physical violence was 88.8% according to a previous study \u003csup\u003e[12]\u003c/sup\u003e \u0026plusmn; 4.5% confidence limit. Twenty-four cases were added to overcome dropout. Therefore, we recruited 213 cases.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eStatistical analysis\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eStatistical analysis was done by SPSS v26 (IBM Inc., Chicago, IL, USA). Qualitative variables were presented as frequency and percentage and were analyzed utilizing the Chi-square test. A two tailed P value \u0026le; 0.05 was considered statistically significant.\u003c/p\u003e"},{"header":"Results (N=7 tables)","content":"\u003cp\u003eThe study included 213 children with disabilities (54% male, 46% female) from rural Upper Egypt. Most families had 4\u0026ndash;6 children (62%), and over half of the participants were firstborn (51.2%). Socioeconomic status was predominantly low (64.8%), and caregivers were primarily both parents (67.6%) and the remainder were cared for by a single parent or other family members. Intellectual disabilities were the most common (50.7%), followed by physical (33.8%), auditory (8.9%), and visual (6.6%) disabilities. Education levels were notably low, with 51.6% of caregivers being illiterate and only 3.3% attaining university education. These demographics highlight the intersection of poverty, limited education, and caregiving structures in this population. \u003cstrong\u003eTable 1\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eTable 1: Socio-demographic characteristics of disabled cases\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"100%\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 60px;\"\u003e\u0026nbsp;\u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 39px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eN=213\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 60px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eGender\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eMale\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eFemale\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 39px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e115 (54%)\u003c/p\u003e\n \u003cp\u003e98 (46%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 60px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNumber of children in the family\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e1-3\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e4-6\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026gt; 6\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 39px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e48 (22.5%)\u003c/p\u003e\n \u003cp\u003e132 (62%)\u003c/p\u003e\n \u003cp\u003e33 (15.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 60px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eBirth order\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eFirst\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eSecond\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eThird\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eFourth\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eFifth or more\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 39px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e109 (51.2%)\u003c/p\u003e\n \u003cp\u003e49 (23%)\u003c/p\u003e\n \u003cp\u003e25 (11.7%)\u003c/p\u003e\n \u003cp\u003e19 (8.9%)\u003c/p\u003e\n \u003cp\u003e11 (5.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 60px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSocioeconomic level\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eLow\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eMiddle\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eHigh\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 39px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e138 (64.8%)\u003c/p\u003e\n \u003cp\u003e46 (21.6%)\u003c/p\u003e\n \u003cp\u003e29 (13.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 60px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eLevel of education\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eIlliterate\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003ePrimary\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003ePreparatory\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eSecondary\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eUniversity\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 39px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e110 (51.6%)\u003c/p\u003e\n \u003cp\u003e47 (22.1%)\u003c/p\u003e\n \u003cp\u003e32 (15%)\u003c/p\u003e\n \u003cp\u003e17 (8%)\u003c/p\u003e\n \u003cp\u003e7 (3.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 60px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eType of caregiver\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eOne parent\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eBoth parent\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eSister\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eBrother\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eOther\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 39px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e26 (12.2%)\u003c/p\u003e\n \u003cp\u003e144 (67.6%)\u003c/p\u003e\n \u003cp\u003e6 (2.8%)\u003c/p\u003e\n \u003cp\u003e18 (8.5%)\u003c/p\u003e\n \u003cp\u003e19 (8.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 60px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eType of disability\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003ePhysical\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eIntellectual\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eAuditory\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eVisual\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 39px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e72 (33.8%)\u003c/p\u003e\n \u003cp\u003e108 (50.7%)\u003c/p\u003e\n \u003cp\u003e19 (8.9%)\u003c/p\u003e\n \u003cp\u003e14 (6.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eData are presented as frequency (%).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eSignificant risk factors for violence included female gender (50% vs. 9.6% males, p\u0026lt;0.001). Among perpetrator categories, \u0026ldquo;companions\u0026rdquo; (non‐family members present) were more often implicated in violence against males than females (75.7% vs. 62.2%; p = 0.03). At the family level, parental drug abuse (22.6% of male‐child cases vs. 10.2% of female‐child cases; p = 0.02) and low overall social level (59.1% vs. 43.9%; p = 0.03) were both significantly associated with higher rates of violence. Child factors such as hyperactivity (24.9%) and neonatal complications (42.3%) showed no significant associations. Familial risks like parental unemployment (48.4%) and large family size (22.1%) were prevalent but not statistically significant. These findings underscore the role of external social dynamics and parental behavior in exacerbating violence. \u003cstrong\u003eTable 2\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eTable 2: Risk factors associated with violence against children with disabilities in the studied groups\u003c/p\u003e\n\u003cp\u003e\u003cimg src=\"data:image/png;base64,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\" width=\"814\" height=\"754\"\u003e\u003c/p\u003e\n\u003cp\u003eData are presented as frequency (%). \u0026nbsp; * Significant P value \u0026lt; 0.05.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eEmotional violence was the most prevalent across all disability types (93.1%\u0026ndash;100%), followed by physical (73.6%\u0026ndash;78.6%) and sexual violence (21.1%\u0026ndash;26.4%). Intellectual disability cases experienced the highest rates of sexual violence (25.9%). No significant differences were observed between disability types, suggesting that emotional abuse is pervasive regardless of disability category, while sexual violence disproportionately affects those with intellectual impairments. \u003cstrong\u003eTable 3\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eTable 3: Prevalence of the violence form in relation to type of disability in the studied groups\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"100%\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 43px;\"\u003e\u0026nbsp;\u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e\u003cstrong\u003ePhysical\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eEmotional\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSexual\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"4\" style=\"width: 100px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTypes of disabilities\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 43px;\"\u003e\n \u003cp\u003e\u003cstrong\u003ePhysical\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eMale (n=37)\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eFemale (n=35)\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eTotal (n=72)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e26 (70.3%)\u003c/p\u003e\n \u003cp\u003e27 (77.1%)\u003c/p\u003e\n \u003cp\u003e53 (73.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e35 (94.6%)\u003c/p\u003e\n \u003cp\u003e32 (91.4%)\u003c/p\u003e\n \u003cp\u003e67 (93.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e7 (18.9%)\u003c/p\u003e\n \u003cp\u003e12 (34.3%)\u003c/p\u003e\n \u003cp\u003e19 (26.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 43px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eIntellectual\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eMale (n=58)\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eFemale (n=50)\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eTotal (n=108)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e41 (70.7%)\u003c/p\u003e\n \u003cp\u003e39 (78%)\u003c/p\u003e\n \u003cp\u003e80 (74.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e55 (94.8%)\u003c/p\u003e\n \u003cp\u003e46 (92%)\u003c/p\u003e\n \u003cp\u003e101 (93.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e11 (19%)\u003c/p\u003e\n \u003cp\u003e17 (34%)\u003c/p\u003e\n \u003cp\u003e28 (25.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 43px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eAuditory\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eMale (n=12)\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eFemale (n=7)\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eTotal (n=19)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e9 (75%)\u003c/p\u003e\n \u003cp\u003e5 (71.4%)\u003c/p\u003e\n \u003cp\u003e14 (73.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e11 (91.7%)\u003c/p\u003e\n \u003cp\u003e6 (85.7%)\u003c/p\u003e\n \u003cp\u003e17 (89.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e2 (16.7%)\u003c/p\u003e\n \u003cp\u003e2 (28.6%)\u003c/p\u003e\n \u003cp\u003e4 (21.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 43px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eVisual\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eMale (n=8)\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eFemale (n=6)\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eTotal (n=14)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e6 (75%)\u003c/p\u003e\n \u003cp\u003e5 (83.3%)\u003c/p\u003e\n \u003cp\u003e11 (78.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e8 (100%)\u003c/p\u003e\n \u003cp\u003e6 (100%)\u003c/p\u003e\n \u003cp\u003e14 (100%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e1 (12.5%)\u003c/p\u003e\n \u003cp\u003e2 (33.3%)\u003c/p\u003e\n \u003cp\u003e3 (21.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 43px;\"\u003e\u0026nbsp;\u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e0.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e0.9\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eData are presented as frequency (%).\u0026nbsp;\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eAcross all physical abuse modalities\u0026mdash;such as hitting, throwing objects, biting, hair‐pulling, and forced posturing\u0026mdash;the distribution was remarkably consistent: approximately 27% of children experienced one to two episodes, about 35% experienced three to ten episodes, and roughly over 37% of children experienced physical violence more than 10 times, with hitting (37.9%), locking in confined spaces (39.2%), and denial of food (39.1%) being common. No gender disparities were observed. Notably, severe acts like burning (37.5%) and inserting needles (38.2%) were frequently repeated, indicating systemic and prolonged abuse in this cohort. \u003cstrong\u003eTable 4\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eTable 4: The overall frequency of physical violence in the studied groups\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"633\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"3\" style=\"width: 113px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTypes of physical violence\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"9\" style=\"width: 475px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eOverall\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;frequency\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"3\" style=\"width: 44px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eP value\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"3\" style=\"width: 159px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e1 or 2 times\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 158px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e3 \u0026ndash; 10 times\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 158px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMore than 10 times\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMale\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eFemale\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTotal\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMale\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eFemale\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTotal\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMale\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eFemale\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTotal\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 113px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eHitting, punching, kicking or beating a child\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e14(26.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e12 (27.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e26 (27.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e18 (34.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e15 (34.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e33 (34.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e20 (38.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e16 (37.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e36 (37.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 44px;\"\u003e\n \u003cp\u003e0.9\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 113px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eThrowing\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;them with something\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e6(26%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e5 (29.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e11 (27.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e8 (34.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e6 (35.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e14 (35%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e9 (39.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e6 (35.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e15 (37.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 44px;\"\u003e\n \u003cp\u003e0.9\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 113px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eBiting\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e8(26.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e6 (27.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e14 (26.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e11 (36.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e8 (36.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e19 (36.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e11 (36.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e8 (36.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e19 (36.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 44px;\"\u003e\n \u003cp\u003e0.9\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 113px;\"\u003e\n \u003cp\u003e\u003cstrong\u003ePulling or cutting\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;their hair\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e6(25%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e8 (27.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e14 (26.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e8 (33.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e10 (34.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e18 (34%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e10 (41.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e11 (37.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e21 (39.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 44px;\"\u003e\n \u003cp\u003e0.9\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 113px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eInserting\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;a needle in their bodies\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e5(26.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e4 (26.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e9 (26.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e7 (36.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e5 (33.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e12 (35.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e7 (36.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;(40%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e13 (38.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 44px;\"\u003e\n \u003cp\u003e0.9\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 113px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMuting\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;their breath with their hand or pillow\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e6(27.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e8 (26.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e14 (26.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e8 (36.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e11 (36.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e19 (36.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e8 (36.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e11 (36.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e19 (36.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 44px;\"\u003e\n \u003cp\u003e0.9\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 113px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eBurning by hot objects\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e3(23.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e3 (27.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e6 (25%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e5 (38.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e4 (36.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e9 (37.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e5 (38.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e4 (36.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e9 (37.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 44px;\"\u003e\n \u003cp\u003e0.9\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 113px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eForcing\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;them to sit or stand in an uncomfortable position\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e9(28.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e8 (27.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e17 (27.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e11 (34.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e10 (34.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e21 (34.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e12 (37.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e11 (37.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e23 (37.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 44px;\"\u003e\n \u003cp\u003e0.9\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 113px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eLocking a child up in a small room or tying them with rope or chairs\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e11(26.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e9 (27.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e20 (27%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e14 (34.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e11 (33.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e25 (33.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e16 (39%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e13 (39.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e29 (39.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 44px;\"\u003e\n \u003cp\u003e0.9\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 113px;\"\u003e\n \u003cp\u003e\u003cstrong\u003ePutting hot chili or bitter food or drink in a child mouth\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e3(27.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e2 (22.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e5\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(25%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e4 (36.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e3 (33.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e7\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(35%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e4 (36.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e4 (44.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e8\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(40%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 44px;\"\u003e\n \u003cp\u003e0.9\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 113px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eDenying a child food for an extended period of time\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e10(26.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e8 (25.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e18 (26.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e13 (34.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e11 (35.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e24 (34.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e15 (39.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e12 (38.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e27 (39.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 44px;\"\u003e\n \u003cp\u003e0.9\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 113px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eForcing a child to carry out hard or difficult work for the benefit of others\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003cp\u003e(25%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e1\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(20%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e3 (23.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e3 (37.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e2\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(40%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e5 (38.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e3 (37.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;(40%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e5 (38.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 44px;\"\u003e\n \u003cp\u003e0.9\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 113px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eForcing a child to beg and give the money away\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e1\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(20%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e1 (33.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;(25%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e2\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(40%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e1 (33.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e3 (37.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e2\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(40%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e1 (33.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e3 (37.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 44px;\"\u003e\n \u003cp\u003e0.9\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eData are presented as frequency (%). \u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe pattern was uniform across the 24 emotional abuse items: around 23% of children endured one to two incidents, approximately 33% endured three to ten, and about 44% endured more than ten. Emotional violence was recurrent, with 43%\u0026ndash;44% of children subjected to acts such as threats, humiliation, or neglect more than 10 times. Common forms included reproaching for mistakes (43.8%), forced labor (43.3%), and threats of abandonment (44.9%). No gender differences emerged, highlighting the pervasive and chronic nature of psychological abuse across genders. \u003cstrong\u003eTable 5\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eTable 5: The\u0026nbsp;overall frequency of emotional violence in the studied groups\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"648\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"3\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTypes of emotional violence\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"9\" style=\"width: 474px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eOverall frequency\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"3\" style=\"width: 42px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eP value\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"3\" style=\"width: 158px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e1 or 2 times\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 158px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e3 \u0026ndash; 10 times\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 158px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMore than 10 times\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMale\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eFemale\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTotal\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMale\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eFemale\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTotal\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMale\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eFemale\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTotal\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eAsking\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;them to do things without discussion\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e14 (23.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e12 (23.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e26 (23.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e20 (33.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e17 (32.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e37 (33%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e26 (43.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e23 (44.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e49 (43.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 42px;\"\u003e\n \u003cp\u003e0.99\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMaking\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;them feeling estranged and being unfriendly to them\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e12 (23.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e10 (22.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e22 (22.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e17 (33.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e15 (33.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e32 (33.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e22 (43.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e20 (44.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e42 (43.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 42px;\"\u003e\n \u003cp\u003e0.98\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eDidn\u0026apos;t\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;listen to them when they talk about themselves\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e12 (22.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e11 (23.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e23 (23%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e18 (33.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e15 (32.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e33 (33%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e24 (44.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e20 (43.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e44 (44%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 42px;\"\u003e\n \u003cp\u003e0.98\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eInterrupting them for a long period\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e12 (24%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e9 (22%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e21 (23.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e16 (32%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e14 (34.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e30 (33%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e22 (44%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e18 (43.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e40 (44%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 42px;\"\u003e\n \u003cp\u003e0.96\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eInsulted, shouted at, ridiculed, shamed and reproaching them for simple mistakes\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e13 (22.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e11 (22.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e24 (22.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e19 (33.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e16 (33.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e35 (33.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e25 (43.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e21 (43.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e46 (43.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 42px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eForced to give away money or possessions\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e17 (23.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e14 (22.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e31 (23.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e24 (33.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e21 (33.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e45 (33.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e31 (43.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e27 (43.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e58 (43.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 42px;\"\u003e\n \u003cp\u003e0.99\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eIgnored, hidden or forbidden from participating in social events\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e15 (22.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e14 (23.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e29 (23.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e22 (33.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e19 (32.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e41 (32.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e29 (43.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e26 (44.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e55 (44%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 42px;\"\u003e\n \u003cp\u003e0.98\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eThreatening\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;to send them out of home\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e11 (23.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e7 (22.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e18 (23.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e15 (31.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e10 (32.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e25 (32.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e21 (44.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e14 (45.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e35 (44.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 42px;\"\u003e\n \u003cp\u003e0.99\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eWitnessing of severe beating of family member or friends\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e11 (22.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e9 (22.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e20 (22.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e16 (32.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e13 (32.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e29 (32.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e22 (44.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e18 (45%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e40 (44.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 42px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCalling\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;them out by undesirable descriptions\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e13 (22.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e10 (22.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e23 (22.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e19 (33.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e15 (33.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e34 (33.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e25 (43.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e20 (44.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e45 (44.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 42px;\"\u003e\n \u003cp\u003e0.99\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCriticizing them on the way they do\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003esomething\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e11 (23.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e7 (23.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e18 (23.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e15 (32.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e10 (33.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e25 (32.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e20 (43.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e13 (43.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e33 (43.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 42px;\"\u003e\n \u003cp\u003e0.99\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eForcing\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;them to do things they don\u0026apos;t like\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e13 (22.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e10 (23.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e23 (23.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e19 (33.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e14 (33.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e33 (33.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e25 (43.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e18 (42.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e43 (43.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 42px;\"\u003e\n \u003cp\u003e0.99\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eComparing\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;them with others to reduce their business\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e14 (23.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e10 (23.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e24 (23.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e20 (33.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e14 (32.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e34 (33%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e26 (43.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e19 (44.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e45 (43.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 42px;\"\u003e\n \u003cp\u003e0.99\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eDepriving\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;them from the thing they like\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e13 (23.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e11 (23.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e24 (23.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e18 (32.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e15 (31.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e33 (32%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e25 (44.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e21 (44.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e46 (44.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 42px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMaking\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;them feel the deprivation of parents\u0026apos; emotion towards them\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e11 (23.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e7 (21.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e18 (23.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e15 (32.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e11 (34.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e26 (33.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e20 (43.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e14 (43.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e34 (43.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 42px;\"\u003e\n \u003cp\u003e0.9\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eThreatening\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;them with ghosts and evil spirits\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e12 (23.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e9 (23.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e21 (23.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e17 (33.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e13 (33.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e30 (33.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e22 (43.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e17 (43.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e39 (43.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 42px;\"\u003e\n \u003cp\u003e0.99\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eParents\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;do not respond to needs\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e13 (23.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e10 (23.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e23 (23.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e18 (32.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e14 (33.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e32 (33%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e24 (43.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e18 (42.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e42 (43.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 42px;\"\u003e\n \u003cp\u003e0.99\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNo\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003eparticipation\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;in decision-making\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e14 (22.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e12 (22.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e26 (22.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e21 (33.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e17 (32.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e38 (32.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e28 (44.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e24 (45.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e52 (44.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 42px;\"\u003e\n \u003cp\u003e0.99\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eParental preferential prejudice towards sibling(s)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e14 (23%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e11 (23.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e25 (23.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e20 (32.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e16 (34%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e36 (33.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e27 (44.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e20 (42.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e47 (43.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 42px;\"\u003e\n \u003cp\u003e0.98\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNeglected when sick\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e11 (22.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e8 (22.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e19 (22.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e16 (32.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e12 (34.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e28 (33.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e22 (44.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e15 (42.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e37 (44%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 42px;\"\u003e\n \u003cp\u003e0.98\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eThreatened to be hurt or killed\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e15 (23.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e11 (22.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e26 (23%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e21 (32.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e16 (32.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e37 (32.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e28 (43.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e22 (44.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e50 (44.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 42px;\"\u003e\n \u003cp\u003e0.99\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTold (wish you had never been born/or were dead)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e16 (22.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e14 (23.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e30 (23.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e23 (32.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e19 (32.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e42 (32.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e31 (44.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e26 (44.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e57 (44.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 42px;\"\u003e\n \u003cp\u003e0.99\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTold they were unloved\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e13 (22.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e11 (22.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e24 (22.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e19 (33.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e16 (33.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e35 (33.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e25 (43.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e21 (43.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e46 (43.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 42px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eData are presented as frequency (%). \u0026nbsp;\u003c/p\u003e\n\u003cp\u003eExcluding forced circumcision and forced marriage\u0026mdash;both reported as singular events (100% in the one‐to‐two incidence category)\u0026mdash;other behaviors (e.g., sexual insults, exposure to sexual acts, indecent touching, forced sexual activity) followed a similar pattern to other abuse forms: roughly 20% of children experienced one to two episodes, 27% experienced three to ten, and about 50% experienced more than ten. Sexual violence was predominantly recurrent (\u0026gt;10 times: 48.6%\u0026ndash;53.8%), particularly forced genital touching (53.8%) and exposure to sexual scenes (50%). Forced circumcision (100%) and marriage (100%) were single-occurrence events. Rates of forced intercourse (53.3% female vs. 50% males). No statistically significant gender differences were observed for any sexual violence category. \u003cstrong\u003eTable 6\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eTable 6: The\u0026nbsp;overall frequency of sexual violence in the studied groups\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"111%\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"3\" style=\"width: 21px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTypes of sexual violence\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"9\" style=\"width: 71px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eOverall frequency\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"3\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eP value\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"3\" style=\"width: 23px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e1 or 2 times\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" valign=\"top\" style=\"width: 23px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e3 \u0026ndash; 10 times\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" valign=\"top\" style=\"width: 24px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMore than 10 times\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMale\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eFemale\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTotal\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMale\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eFemale\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTotal\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMale\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eFemale\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTotal\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 21px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eInsulting them by sexual terms\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e3 (18.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e4\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(19%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e7 (18.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;(25%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e6 (28.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e10 (27%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e7 (43.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e11 (52.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e18 (48.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e0.98\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 21px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSomeone\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;exposes their private parts to the child with disability\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e3\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(25%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e4 (23.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e7 (24.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;(25%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e5 (29.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e8 (27.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e6\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(50%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e8 (47.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e14 (48.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e0.96\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 21px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eForcing\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;them to see sexual scenes\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e3 (21.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e4\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(20%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e7 (20.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e4 (28.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e6\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(30%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e10 (29.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e7\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(50%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e10 (50%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e17 (50%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e0.99\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 21px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eHaving\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;their genitals touched or fondled (indecently touched)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e3\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(20%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e5 (20.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e8 (20.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e4 (26.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;(25%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e10 (25.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e8 (53.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e13 (54.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e21 (53.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e0.99\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 21px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eForcing\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;them to touch the abuser\u0026apos;s genitals\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e3 (23.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e4 (21.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e7 (21.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e4 (30.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e5 (26.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e9 (28.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e6 (46.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e10 (52.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e16 (50%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e0.93\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 21px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTrying\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;to embrace and kiss them\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e3 (23.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e5 (22.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e8 (22.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e4 (30.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e6 (27.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e10 (28.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e6 (46.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e11 (50%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e17 (48.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e0.97\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 21px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eForcing\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;them to circumcise\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e18 (100%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e29 (100%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e47 (100%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e----\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 21px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eForcing\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;them into marriage\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e6 (100%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e9 (100%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e15 (100%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e----\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 21px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eForced to have intercourse\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;(25%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e3\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(20%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e5 (21.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;(25%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e4 (26.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e6 (26.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;(50%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e8 (53.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e12 (52.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e0.96\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eData are presented as frequency (%).\u0026nbsp;\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eMothers (34.8%\u0026ndash;41.8%), fathers (35.4%\u0026ndash;38.2%), and unrelated children (44.3%\u0026ndash;60%) were frequent perpetrators. Fathers showed significant involvement in sexual violence (p=0.02) as did the \u0026ldquo;other\u0026rdquo; perpetrator category (p = 0.02), while unrelated children dominated emotional abuse (56.7%). Strangers and adult neighbors were also prominent, particularly in physical (41.1%) and sexual violence (50.9%). The data emphasizes specific risk patterns for familial and non‐familial actors in the context of sexual abuse. \u003cstrong\u003eTable 7\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eTable 7: The perpetrator of different types of violence in the studied groups\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"617\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"3\" style=\"width: 75px;\"\u003e\n \u003cp\u003e\u003cstrong\u003ePerpetrator of different types of violence\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"9\" style=\"width: 484px;\"\u003e\n \u003cp\u003e\u003cstrong\u003ePercent of\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003eperpetrator\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;in each type of violence\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"3\" style=\"width: 58px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eP value\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"3\" style=\"width: 161px;\"\u003e\n \u003cp\u003e\u003cstrong\u003ePhysical violence\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 162px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eEmotional violence\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 161px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSexual violence\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMale\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(n=82)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eFemale\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(n=76)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTotal\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(n=158)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMale\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(n=110)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eFemale\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(n=91)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTotal\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(n=201)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMale\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(n=21)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eFemale\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(n=34)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTotal\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(n=55)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 75px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMother\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e\u0026nbsp;22 (26.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e33 (43.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e55 (34.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e20 (18.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e35 (38.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e55 (27.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e5 (23.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e18 (52.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e23 (41.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58px;\"\u003e\n \u003cp\u003e0.3\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 75px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eFather\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e29 (35.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e27 (35.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e56 (35.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e45 (40.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e28 (30.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e73 (36.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e6 (28.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e15 (44.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e21 (38.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.02*\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 75px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eStepmother\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e12 (14.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e21 (27.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e33 (20.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e13 (11.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e23 (25.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e36 (17.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e4\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(19%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e13 (38.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e17 (30.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58px;\"\u003e\n \u003cp\u003e0.6\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 75px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eStepfather\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e3 (3.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e10 (13.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e13 (8.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;(3.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e3 (3.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;(3.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e1 (4.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e9 (26.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e10 (18.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58px;\"\u003e\n \u003cp\u003e0.08\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 75px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSister\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e23 (28%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e25 (32.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e48 (30.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e23 (20.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e40 (44%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e63 (31.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e2 (9.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e10 (29.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e12 (21.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58px;\"\u003e\n \u003cp\u003e0.1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 75px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eBrother\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e20 (24.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e33 (43.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e53 (33.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e32 (29.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e45 (49.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e77 (38.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e5 (23.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e14 (41.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e19 (34.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58px;\"\u003e\n \u003cp\u003e0.47\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 75px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eUnrelated children\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e31 (37.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e39 (51.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e70 (44.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e67 (60.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e47 (51.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e114 (56.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e14 (66.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e19 (55.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e33 (60%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58px;\"\u003e\n \u003cp\u003e0.08\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 75px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eAdult neighbor\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e40 (48.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e25 (32.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e65 (41.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e48 (43.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e43 (47.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e91 (45.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e12 (57.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e16 (47.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e28 (50.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58px;\"\u003e\n \u003cp\u003e0.2\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 75px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTeacher\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e28 (34.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e26 (34.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e54 (34.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e22 (20%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e21 (23.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e43 (21.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e3 (14.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e6 (17.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e9 (16.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58px;\"\u003e\n \u003cp\u003e0.5\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 75px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eStranger\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e22 (26.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e33 (43.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e55 (34.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e20 (18.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e35 (38.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e55 (27.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e5 (23.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e18 (47.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e19 (34.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58px;\"\u003e\n \u003cp\u003e0.3\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 75px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eOther\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e29 (35.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e27 (35.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e56 (35.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e45 (40.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e28 (30.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e73 (36.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e6 (28.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e15 (32.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e17 (30.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.02*\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eData are presented as frequency (%). \u0026nbsp;* Significant P value \u0026lt; 0.05.\u0026nbsp;\u003c/p\u003e"},{"header":"Discussion","content":"\u003cp\u003eOur study identified several sociodemographic characteristics that create vulnerability contexts for children with disabilities in rural Upper Egypt. Most children came from families with low socioeconomic status and had caregivers with high illiteracy rates. The gender distribution was relatively balanced, with a slight male predominance. Intellectual disabilities constituted the most common disability type, aligning with findings from Elklit et al. \u003csup\u003e[\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e]\u003c/sup\u003e who connected intellectual disabilities with increased victimization risk. Most families in our sample had multiple children and maintained dual-parent caregiving structures, creating complex caregiving environments that influence vulnerability patterns.\u003c/p\u003e\u003cp\u003eThis sociodemographic profile exemplifies what Kyegombe et al. \u003csup\u003e[\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e]\u003c/sup\u003e describe as the \"intersectionality of disadvantage\" where disability, poverty, and limited education collectively heighten vulnerability to violence. The high proportion of firstborn children with disabilities suggests challenges in early parenting experiences, a factor that Cuartas et al. \u003csup\u003e[\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e]\u003c/sup\u003e emphasize as critical in violence prevention. These findings reinforce Banks et al. \u003csup\u003e[\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e]\u003c/sup\u003e observation that child protection mechanisms in resource-limited settings often remain underdeveloped and particularly non-inclusive of disability needs.\u003c/p\u003e\u003cp\u003eOur results revealed significant gender disparities in violence exposure, with females experiencing higher rates than males. This contrasts with Elklit et al. \u003csup\u003e[\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e]\u003c/sup\u003e, who found boys with disabilities were more frequently victimized in criminal contexts, suggesting context-dependent gender dimensions in violence patterns. We found significant associations between parental drug abuse and violence in the male cohort, paralleling Elklit et al. \u003csup\u003e[\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e]\u003c/sup\u003e identification of parental characteristics as key risk multipliers. The relationship between low social status and increased violence aligns with Fang et al. \u003csup\u003e[\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e]\u003c/sup\u003e meta-analysis highlighting heightened vulnerability in economically disadvantaged contexts.\u003c/p\u003e\u003cp\u003eUnlike Koivula et al. \u003csup\u003e[\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e]\u003c/sup\u003e, who identified neurological or psychological conditions as particularly associated with maternal psychological aggression, our study found no significant associations with child factors such as hyperactivity or neonatal complications. The role of non-family \"companions\" in perpetrating violence against male children highlights the external social risks identified by Njelesani et al. \u003csup\u003e[\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e]\u003c/sup\u003e, who noted that community participation patterns shape violence exposure.\u003c/p\u003e\u003cp\u003eOur study revealed remarkably consistent patterns of violence across disability categories, with emotional violence being nearly universal, followed by physical and sexual violence. This pattern aligns with Fang et al. \u003csup\u003e[\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e]\u003c/sup\u003e global meta-analysis reporting substantial violence prevalence among children with disabilities. Unlike Elklit et al. \u003csup\u003e[\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e]\u003c/sup\u003e who identified varying risk levels by disability type, our study found no significant differences between disability categories, suggesting what Njelesani \u003csup\u003e[\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e]\u003c/sup\u003e describes as \"disability-based violence\" where the presence of any disability, rather than the specific type, becomes the primary vulnerability factor.\u003c/p\u003e\u003cp\u003eHowever, our finding that intellectual disability cases experienced the highest rates of sexual violence corresponds with Elklit et al. \u003csup\u003e[\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e]\u003c/sup\u003e conclusion regarding heightened sexual victimization risk in this population. These findings support Jones et al. \u003csup\u003e[\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e]\u003c/sup\u003e analysis showing children with disabilities are significantly more likely to experience violence overall, with varying odds ratios for physical and sexual violence. The pervasiveness of emotional violence across all disability types indicates a concerning normalization of psychological maltreatment, as identified by Banks et al. \u003csup\u003e[\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e]\u003c/sup\u003e in their qualitative exploration of violence experiences.\u003c/p\u003e\u003cp\u003eOur analysis revealed disturbing patterns of repetitive physical abuse, with many children experiencing severe physical violence multiple times. The distribution pattern shows approximately equal proportions experiencing few, moderate, or numerous episodes, suggesting established patterns of recurring abuse. This chronic exposure aligns with Sepp\u0026auml;l\u0026auml; et al. \u003csup\u003e[\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e]\u003c/sup\u003e findings that children with multiple disabilities face substantially higher risk of serious violence compared to non-disabled peers.\u003c/p\u003e\u003cp\u003eThe prevalence of particularly harmful acts like burning and inserting needles indicates what Omer et al. \u003csup\u003e[\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e]\u003c/sup\u003e described as severe physical maltreatment. The absence of significant gender differences in physical violence frequency diverges somewhat from broader patterns noted by Elklit et al. \u003csup\u003e[\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e]\u003c/sup\u003e. The high frequency of confinement practices and food denial represents the intersection of physical punishment and neglect described by Njelesani et al. \u003csup\u003e[\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e]\u003c/sup\u003e in West African contexts. This combination of frequency and severity suggests deeply entrenched patterns of physical abuse requiring targeted intervention, aligning with Pundir et al. \u003csup\u003e[\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e]\u003c/sup\u003e emphasis on contextually appropriate violence reduction strategies.\u003c/p\u003e\u003cp\u003eEmotional violence in our study demonstrated a pervasive and recurring nature, with a substantial proportion of children experiencing numerous episodes of various forms of emotional abuse. This finding aligns with Banks et al. \u003csup\u003e[\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e]\u003c/sup\u003e, who identified verbal abuse as among the most common forms of violence experienced by children with disabilities. The recurrent nature of specific emotional violence types\u0026mdash;including reproaching for mistakes, forced labor, and threats of abandonment\u0026mdash;reveals deeply embedded patterns of psychological maltreatment.\u003c/p\u003e\u003cp\u003eThese patterns correspond with Koivula et al. \u003csup\u003e[\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e]\u003c/sup\u003e observation that mothers of children with disabilities reported significantly higher levels of psychological aggression. The absence of gender differences in emotional violence frequency indicates the universality of this abuse form, consistent with Njelesani et al. \u003csup\u003e[\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e]\u003c/sup\u003e findings that stigmatizing beliefs about disability, rather than gender, often drive emotional maltreatment. The frequency distribution pattern suggests systematic, recurring emotional abuse rather than isolated incidents, corresponding with Devries et al. \u003csup\u003e[\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e]\u003c/sup\u003e observations of high baseline rates of violence in school settings for students with disabilities.\u003c/p\u003e\u003cp\u003eOur findings revealed concerning patterns of sexual violence, with approximately half of affected children experiencing numerous episodes. This chronic exposure aligns with Jones et al. \u003csup\u003e[\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e]\u003c/sup\u003e meta-analysis identifying substantial prevalence of sexual violence against children with disabilities and significantly elevated risk compared to non-disabled peers. The high recurrence of forced genital touching and exposure to sexual scenes indicates systematic sexual abuse patterns, corresponding with Elklit et al. \u003csup\u003e[\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e]\u003c/sup\u003e findings of heightened sexual victimization risk, particularly among children with intellectual disabilities.\u003c/p\u003e\u003cp\u003eCertain forms of sexual violence\u0026mdash;forced circumcision and forced marriage\u0026mdash;were experienced as singular events, representing distinct cultural practices with long-term consequences. The similar rates of forced intercourse between genders contrast with common assumptions about gender-based patterns in sexual violence, suggesting what Fang et al. \u003csup\u003e[\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e]\u003c/sup\u003e described as complex intersections between disability status and other vulnerability factors. The distribution pattern across sexual violence forms indicates recurring victimization rather than isolated incidents, supporting Kyegombe et al. \u003csup\u003e[\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e]\u003c/sup\u003e emphasis on specialized protection mechanisms for children with disabilities.\u003c/p\u003e\u003cp\u003eOur analysis revealed complex perpetrator patterns with both familial and non-familial actors significantly involved. Mothers, fathers, and unrelated children emerged as frequent perpetrators, with specific patterns across violence types. The significant involvement of fathers in sexual violence represents a particularly concerning finding, adding nuance to Koivula et al. \u003csup\u003e[\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e]\u003c/sup\u003e focus on maternal aggression.\u003c/p\u003e\u003cp\u003eThe prominence of strangers and adult neighbors, particularly in physical and sexual violence, corresponds with Njelesani et al. \u003csup\u003e[\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e]\u003c/sup\u003e identification of community-level perpetrators. The dominance of unrelated children in emotional abuse aligns with Njelesani et al. \u003csup\u003e[\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e]\u003c/sup\u003e observations of peer-perpetrated violence against students with disabilities in Zambian schools. The significant involvement of \"other\" perpetrator categories in sexual violence suggests what Kyegombe et al. \u003csup\u003e[\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e]\u003c/sup\u003e describe as the complex web of potential perpetrators that child protection systems must address.\u003c/p\u003e\u003cp\u003eThese diverse perpetrator patterns support Banks et al. \u003csup\u003e[\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e]\u003c/sup\u003e conclusion that protection mechanisms must operate at multiple levels to effectively safeguard children with disabilities. The high involvement of both family members and unrelated individuals in all violence forms underscores Cuartas et al. \u003csup\u003e[\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e]\u003c/sup\u003e emphasis on multi-component interventions addressing both familial and community factors to prevent violence against vulnerable children.\u003c/p\u003e\u003cp\u003eThis study has several limitations that may influence the interpretation of its findings. The retrospective design and reliance on self-reported data introduce potential recall and social desirability biases, as participants may not accurately remember past events or may alter their responses to align with social expectations. The sample, drawn from two rural villages, limits the generalizability of the results to broader populations. Verification of disability through official documentation may exclude individuals without formal records, leading to an underestimation of disability prevalence, especially in rural or low-resource settings where bureaucratic barriers, stigma, or poverty hinder access to such documentation. The cross-sectional approach precludes causal inferences, making it impossible to determine the directionality of associations between variables. Cultural nuances in violence reporting and tool adaptation may affect data accuracy, as the ISPCAN tool may not fully capture the cultural context of violence in the study area. Additionally, potential underreporting of sensitive issues and focus on specific disabilities could influence prevalence estimates, as individuals may be reluctant to disclose experiences of violence, and the study's focus may not encompass all types of disabilities. These factors should be considered when interpreting findings and designing future research.\u003c/p\u003e"},{"header":"Conclusions","content":"\u003cp\u003eThe study reveals high rates of emotional, physical, and sexual violence against children with disabilities in rural Upper Egypt, particularly affecting females and those with intellectual disabilities. Key risk factors include low socioeconomic status, parental drug abuse, and non-familial perpetrators. Findings underscore the urgent need for multi-level interventions: strengthening legal enforcement, community education, and family support systems. Addressing the intersection of poverty, disability stigma, and systemic neglect is critical to safeguarding this vulnerable population and aligning with global child protection frameworks.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eFinancial support and sponsorship:\u003c/strong\u003e Nil\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConflict of Interest:\u003c/strong\u003e Nil\u003c/p\u003e\u003ch2\u003eAuthor Contribution\u003c/h2\u003e\u003cp\u003eSeham and Wafaa wrote the main manuscript text.Ahmed and Abdel Rahman collected the data and prepared tables.All authors reviewed the manuscript.\u003c/p\u003e\u003ch2\u003eAcknowledgement:\u003c/h2\u003e\u003cp\u003eThere is none to be declared.\u003c/p\u003e\u003ch2\u003eData Availability\u003c/h2\u003e\u003cp\u003eData is provided within the manuscript or supplementary information files\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eJones L, Bellis MA, Wood S, et al. Prevalence and risk of violence against children with disabilities: A systematic review and meta-analysis of observational studies. Lancet. 2012;380:899-907. https://doi.org/10.1016/S0140-6736(12)60692-8\u003c/li\u003e\n\u003cli\u003eSullivan PM, Knutson JF. Maltreatment and disabilities: A population-based epidemiological study. Child Abuse Negl. 2000;24:1257-73. https://doi.org/10.1016/s0145-2134(00)00190-3\u003c/li\u003e\n\u003cli\u003eElklit A, Murphy S, Skovgaard C, et al. Physical violence against children with disabilities: A Danish national birth cohort prospective study. Eur J Psychotraumatol. 2023;14:217-52. https://doi.org/10.1080/20008066.2023.2173764\u003c/li\u003e\n\u003cli\u003eNorman RE, Byambaa M, De R, et al. The long-term health consequences of child physical abuse, emotional abuse, and neglect: A systematic review and meta-analysis. PLoS Med. 2012;9:20-5. https://doi.org/10.1371/journal.pmed.1001349\u003c/li\u003e\n\u003cli\u003eMcMillan JM, Jarvis JM. Mental health and students with disabilities: A review of literature. Aust J Guid Couns. 2023;23:236-51. https://doi.org/10.1017/jgc.2013.14\u003c/li\u003e\n\u003cli\u003eEmerson E, Hatton C. Mental health of children and adolescents with intellectual disabilities in Britain. Br J Psychiatry. 2007;191:493-9. https://doi.org/10.1192/bjp.bp.107.038729\u003c/li\u003e\n\u003cli\u003eAbdel-Fatah NA. Determinants of severe physical disciplinary practices against children in Egypt. Child Abuse Negl. 2021;111:104-52. https://doi.org/10.1016/j.chiabu.2020.104821\u003c/li\u003e\n\u003cli\u003eKhatab K, Raheem MA, Sartorius B, et al. Prevalence and risk factors for child labour and violence against children in Egypt using Bayesian geospatial modelling with multiple imputation. PLoS One. 2019;14:89-99. https://doi.org/10.1371/journal.pone.0212715\u003c/li\u003e\n\u003cli\u003eGad El-Hak SA, Ali MA, Abo El-Atta HM. Child deaths from family violence in Dakahlia and Damiatta Governorates, Egypt. J Forensic Leg Med. 2009;16:388-91. https://doi.org/10.1016/j.jflm.2009.04.010\u003c/li\u003e\n\u003cli\u003eCAPMAS. Central agency for public mobilization and statistics. Egypt; 2021.\u003c/li\u003e\n\u003cli\u003eDunne MP, Zolotor AJ, Runyan DK, et al. ISPCAN Child Abuse Screening Tools Retrospective version (ICAST-R): Delphi study and field testing in seven countries. Child Abuse Negl. 2009;33:815-25. https://doi.org/10.1016/j.chiabu.2009.09.005\u003c/li\u003e\n\u003cli\u003eOmer NS, Fahmy HD, Sharkawy SA-H, et al. Incidence of violence against some disabled children in assiut city. Assiut Sci Nurs J. 2019;7:64-72. https://doi.org/10.21608/asnj.2019.61150\u003c/li\u003e\n\u003cli\u003eKyegombe N, Banks LM, Kelly S, et al. How to conduct good quality research on violence against children with disabilities: Key ethical, measurement, and research principles. BMC Public Health. 2019;19:11-33. https://doi.org/10.1186/s12889-019-7456-z\u003c/li\u003e\n\u003cli\u003eCuartas J, Salazar A, Backhaus S, et al. Strategies to prevent violence against children in the home: A systematic review of reviews. Trauma Violence Abuse. 2024;25:3419-33. https://doi.org/ 10.1177/15248380241247018\u003c/li\u003e\n\u003cli\u003eBanks LM, Kelly SA, Kyegombe N, et al. If he could speak, he would be able to point out who does those things to him: Experiences of violence and access to child protection among children with disabilities in Uganda and Malawi. PloS One. 2017;12:28-33. https://doi.org/10.1371/journal.pone.0183736\u003c/li\u003e\n\u003cli\u003eFang Z, Cerna-Turoff I, Zhang C, et al. Global estimates of violence against children with disabilities: An updated systematic review and meta-analysis. Lancet Child Adolesc Health. 2022;6:313-23. https://doi.org/10.1016/S2352-4642(22)00033-5\u003c/li\u003e\n\u003cli\u003eKoivula T, Ellonen N, Janson S, et al. Psychological and physical violence towards children with disabilities in Finland and Sweden. J Child Health Care. 2018;22:317-31. https://doi.org/10.1177/1367493518757379\u003c/li\u003e\n\u003cli\u003eNjelesani J, Hashemi G, Cameron C, et al. From the day they are born: A qualitative study exploring violence against children with disabilities in West Africa. BMC Public Health. 2018;18:153-77. https://doi.org/10.1186/s12889-018-5057-x\u003c/li\u003e\n\u003cli\u003eNjelesani J. A child who is hidden has no rights: Responses to violence against children with disabilities. Child Abuse Negl. 2019;89:58-69. https://doi.org/10.1016/j.chiabu.2018.12.024\u003c/li\u003e\n\u003cli\u003eSepp\u0026auml;l\u0026auml; P, Vornanen R, Toikko T. Are children with a number of disabilities and long-term illnesses at increased risk of mental violence, disciplinary violence, and serious violence? J Interpers Violence. 2021;36:11409-34. https://doi.org/10.1177/0886260519898440\u003c/li\u003e\n\u003cli\u003ePundir P, Saran A, White H, et al. Interventions for reducing violence against children in low‐and middle‐income countries: An evidence and gap map. Campbell Syst Rev. 2020;16:11-20. https://doi.org/10.1002/cl2.1120\u003c/li\u003e\n\u003cli\u003eNjelesani J, Lai J, Gigante CM, et al. Will you protect me or make the situation worse?: Teachers\u0026rsquo; responses to school violence against students with disabilities. J Interpers Violence. 2021;37:21723-48. https://doi.org/10.1177/08862605211062996\u003c/li\u003e\n\u003cli\u003eDevries K, Kuper H, Knight L, et al. Reducing physical violence toward primary school students with disabilities. J Adolesc Health. 2018;62:303-10. https://doi.org/10.1016/j.jadohealth.2017.09.004\u003c/li\u003e\n\u003cli\u003eNjelesani J, Si J, Swarm D. Unreported and unaddressed: Students with disabilities experience of school violence in Zambia. Afr J Disabil. 2022;11:84- 99. https://doi.org/10.4102/ajod.v11i0.849\u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"journal-of-the-egyptian-public-health-association","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"jepa","sideBox":"Learn more about [Journal of the Egyptian Public Health Association](http://jepha.springeropen.com)","snPcode":"42506","submissionUrl":"https://submission.nature.com/new-submission/42506/3","title":"Journal of the Egyptian Public Health Association","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Springer Open","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"Children Disabilities, Rural, Risk factors, Upper Egypt, Violence","lastPublishedDoi":"10.21203/rs.3.rs-7013684/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7013684/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e\u003cstrong\u003eBackground:\u003c/strong\u003e Children with disabilities face heightened violence risks, particularly in resource-limited settings. Despite global evidence, data on violence against children with disabilities in rural Upper Egypt remains scarce. This study aimed to determine the prevalence, types, and family-related risk factors of violence against children with disabilities in this region.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMethods:\u003c/strong\u003e A community-based cross-sectional study was conducted (December 2023–March 2024) in two rural Upper Egypt villages. Using multistage random sampling, 213 children (aged 18–24 years) with disabilities were included. Data were collected via validated structured interviews (ISPCAN tool) and focus group discussions.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eResults:\u003c/strong\u003e Participants (54% male, 46% female) primarily had intellectual (50.7%) or physical (33.8%) disabilities. Emotional violence was nearly universal (93.1–100%), followed by physical (73.6–78.6%) and sexual violence (21.1–26.4%). Females experienced higher violence rates (50% vs. 9.6% males, p\u0026lt;0.001). Parental drug abuse (22.6% males vs. 10.2% females, p=0.02) and low socioeconomic status (59.1% vs. 43.9%, p=0.03) were significant risk factors. Intellectual disabilities correlated with elevated sexual violence (25.9%). Perpetrators included parents (35.4–41.8%) and unrelated individuals (44.3–60%).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConclusions:\u003c/strong\u003eSystemic violence against children with disabilities in rural Upper Egypt is pervasive, driven by poverty, low parental education, and gender disparities. Interventions must address familial and community-level factors, including economic support, parental education, and stricter enforcement of child protection laws.\u003c/p\u003e","manuscriptTitle":"Feedback on the violence against children with disabilities in a rural population of Upper Egypt: A community-based cross-sectional study","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-07-31 12:31:36","doi":"10.21203/rs.3.rs-7013684/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2025-08-12T08:53:59+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-08-10T12:11:14+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"301340858174512078790911492876789087781","date":"2025-08-05T04:20:48+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-08-03T04:16:08+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"57627397806430361622980088659288743229","date":"2025-07-27T17:28:33+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2025-07-27T12:15:43+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2025-07-21T21:40:58+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2025-07-21T13:11:58+00:00","index":"","fulltext":""},{"type":"submitted","content":"Journal of the Egyptian Public Health Association","date":"2025-07-17T17:25:04+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"journal-of-the-egyptian-public-health-association","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"jepa","sideBox":"Learn more about [Journal of the Egyptian Public Health Association](http://jepha.springeropen.com)","snPcode":"42506","submissionUrl":"https://submission.nature.com/new-submission/42506/3","title":"Journal of the Egyptian Public Health Association","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Springer Open","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"ea2e0d1c-7cfb-464e-b9ee-b1379c22325e","owner":[],"postedDate":"July 31st, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[],"tags":[],"updatedAt":"2025-11-24T16:01:47+00:00","versionOfRecord":{"articleIdentity":"rs-7013684","link":"https://doi.org/10.1186/s42506-025-00200-3","journal":{"identity":"journal-of-the-egyptian-public-health-association","isVorOnly":false,"title":"Journal of the Egyptian Public Health Association"},"publishedOn":"2025-11-20 15:56:56","publishedOnDateReadable":"November 20th, 2025"},"versionCreatedAt":"2025-07-31 12:31:36","video":"","vorDoi":"10.1186/s42506-025-00200-3","vorDoiUrl":"https://doi.org/10.1186/s42506-025-00200-3","workflowStages":[]},"version":"v1","identity":"rs-7013684","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-7013684","identity":"rs-7013684","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}