Prevalence and Associated Factors of Schizophrenia in Central Ethiopia Region: 2025
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Abstract Background Schizophrenia is identified as one of the maximum disabling mental problems, rating some of the top ten causes of incapacity globally. Its miles characterized via disturbances in notion, belief, emotion, and behavior. Schizophrenia imposes tremendous burdens on affected people, their families, and health structures. In Ethiopia, intellectual health offerings continue to be under-resourced, and stigma in the direction of psychiatric disorders persists. The take a look at aimed to assess the prevalence and related elements of schizophrenia within the critical Ethiopia area. Method The study employed a quantitative community-based cross-sectional study design. It included 1254 adult study subjects from the entire region. A multistage sampling approach was used to select the study subjects. Each bivariate (binary logistic regression) and multivariate logistic regression analyses were carried out. Variables with a p-fee below 0.25 in bivariate evaluation have been included inside the multivariate analysis. Statistical significance become set at p < 0.05. Effects were presented as adjusted odds ratios (AOR) with 95% of CI. Result overall prevalence: 6.4% (n = 80; 95% CI: 5.02–7.73) met DSM-5TR standards for schizophrenia, of which 68.7% (55) of schizophrenia instances have been male. Regarding related elements, Suicidal behavior (AOR = 2.47, p = 0.001), family history of mental illness (AOR = 0.36, p = 0.002), and Social assist (AOR = 2.05, p = 0.009) were statistically associated variables. Conclusion This finding suggests that the superiority of schizophrenia is substantially high and alarming. Suicidal conduct, relatives records of mental illness, and social aid are related factors with schizophrenia. An exponential growth in the superiority of schizophrenia wishes unique attention to layout strategies that enhance prevention and treatment access to mental health services.
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Wazema, Mamush H. Shikur, Legase P. Leliso, Sewalem A. Ayalneh, and 6 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8010669/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 8 You are reading this latest preprint version Abstract Background Schizophrenia is identified as one of the maximum disabling mental problems, rating some of the top ten causes of incapacity globally. Its miles characterized via disturbances in notion, belief, emotion, and behavior. Schizophrenia imposes tremendous burdens on affected people, their families, and health structures. In Ethiopia, intellectual health offerings continue to be under-resourced, and stigma in the direction of psychiatric disorders persists. The take a look at aimed to assess the prevalence and related elements of schizophrenia within the critical Ethiopia area. Method The study employed a quantitative community-based cross-sectional study design. It included 1254 adult study subjects from the entire region. A multistage sampling approach was used to select the study subjects. Each bivariate (binary logistic regression) and multivariate logistic regression analyses were carried out. Variables with a p-fee below 0.25 in bivariate evaluation have been included inside the multivariate analysis. Statistical significance become set at p < 0.05. Effects were presented as adjusted odds ratios (AOR) with 95% of CI. Result overall prevalence: 6.4% (n = 80; 95% CI: 5.02–7.73) met DSM-5TR standards for schizophrenia, of which 68.7% (55) of schizophrenia instances have been male. Regarding related elements, Suicidal behavior (AOR = 2.47, p = 0.001), family history of mental illness (AOR = 0.36, p = 0.002), and Social assist (AOR = 2.05, p = 0.009) were statistically associated variables. Conclusion This finding suggests that the superiority of schizophrenia is substantially high and alarming. Suicidal conduct, relatives records of mental illness, and social aid are related factors with schizophrenia. An exponential growth in the superiority of schizophrenia wishes unique attention to layout strategies that enhance prevention and treatment access to mental health services. Schizophrenia Prevalence Central Ethiopia Region Suicidal Behavior Family History of Mental Illness social Support Figures Figure 1 Figure 2 Introduction Background The World Health Organization identifies schizophrenia as a leading cause of disability, not only due to its chronicity but also because of its association with high direct and indirect healthcare costs, increased mortality, and comorbid medical conditions. ( 1 – 5 ) Emerging research points to a growing occurrence of schizophrenia and its enduring disabilities, despite the progress made in psychiatric studies and treatment strategies. ( 6 , 7 ) In Ethiopia, mental health services remain under-resourced, and stigma towards psychiatric disorders persists. Previous studies from Addis Ababa and Butajira reported schizophrenia prevalence rates below 0.5%. ( 2 , 8 , 9 ) However, these findings are outdated, as they were conducted 23 years ago and couldn’t show the existing reality; they cannot be generalized to the broader and more heterogeneous populations of Central Ethiopia, where sociocultural and environmental factors may differ substantially. Finally, the region is a newly established one that has no such comprehensive data regarding the prevalence of schizophrenia. Understanding not only the prevalence but also the constellation of associated psychosocial and clinical risk factors is essential for developing effective preventive and therapeutic strategies. Regionally relevant data can guide the allocation of resources, the development of targeted interventions, and the design of community-based mental health services. Identification of associated risk factors enables early detection, risk stratification, and personalized therapeutic approaches. The findings contribute to the global discourse on the neurocognitive and linguistic dimensions of schizophrenia, offering a foundation for future interdisciplinary research. Increased awareness and accurate prevalence estimates may help reduce stigma and promote help-seeking behavior among affected individuals and communities. Objective General Objective: To assess the prevalence and associated factors of schizophrenia among adult residents of the Central Ethiopia Region in 2025. Specific Objectives: To determine the prevalence of schizophrenia among adult residents of the Central Ethiopia Region, 2025. To identify associated factors of schizophrenia among adult residents of the Central Ethiopia Region, 2025. Method Study Design A community-based, cross-sectional study design was employed to ensure representativeness across the region’s diverse population. Setting The study was conducted in the Central Ethiopia Regional State, established as a new administrative entity comprising seven zones (Gurage, Silte, Halaba, Hadiya, Kembata, Yem, and Eastern Gurage), three special weredas (Kebena, Mareko, Tembaro), 55 weredas, and 27 town administrations. The region covers 15,156 square kilometers with an estimated population of 7.2 million. The health care infrastructure includes two comprehensive hospitals, four general hospitals, twenty primary hospitals, 230 health centers, and 1,157 health posts. Data collection occurred from March 1–30, 2025. Participants Source Population All adult residents (≥ 18 years) of the Central Ethiopia Region. Study Population: Adults living in selected kebeles across the respective zones and weredas for at least six months. Inclusion Criteria: Adults aged 18 years or older and residents in the study area for at least six months. Exclusion Criteria Adults with severe mental illness unable to provide information, and without a knowledgeable family informant. Sampling A multistage sampling technique was adopted; all zones and special weredas were included. From each zone, 50% of weredas were randomly selected, and 30% of kebeles from selected weredas were randomly chosen. Households were selected using systematic random sampling proportional to kebele size. Within households with multiple eligible adults, one was randomly selected. Variables Outcome variable: schizophrenia Explanatory variables: include age, sex, educational status, marital status, residential area, substance use disorder, social support, chronic medical illness, previous mental illness, family history of mental illness, and suicidal behavior. Measurement Data Collection Instruments and Procedures Socio-demographic Questionnaire: Adapted from a comprehensive literature review to capture age, sex, marital status, education, occupation, and residential area. Clinical Factors: Questions on chronic medical illnesses, prior mental illness, suicidal behavior, and family history (yes/no). DSM-5TR Diagnostic Criteria for Schizophrenia: Diagnosis required at least two of five specified symptoms persisting for a minimum of six months. Suicidal Behavior Questionnaire – Revised (SBQ-R): Four-item scale with a ≥ 7 cut-off for high risk; sensitivity 93%, specificity 95%. ( 10 ) Multidimensional Scale of Perceived Social Support (MSPSS): Twelve-item scale, subdivided into support from significant others, family, and friends, categorized as low (1–2.9), moderate ( 3 – 5 ), and high (5.1–7). ( 11 ) Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST) V3.1: Adapted for substance use assessment.( 12 ) Data was collected using Kobo Toolbox software by trained psychiatry professionals. Pre-testing and daily supervision ensured data quality. Sample Size Calculated using a single population proportion formula, with an assumed proportion of 37.9% for common mental disorders ( 13 ), a 95% confidence interval, 4% margin of error, 10% non-response rate, and a design effect of 2. The final sample size was 1,263. Data Processing and Analysis Data cleaning and coding were performed before the analysis with SPSS v24. Both bivariate (binary logistic regression) and multivariate logistic regression analyses were conducted. Variables with a p-value below 0.25 in bivariate analysis were included in the multivariate model. Collinearity was assessed using Variance Inflation Factor (VIF), and model fit by the Hosmer and Lemeshow test. Statistical significance was set at p < 0.05. Results were presented as adjusted odds ratios (AOR) with 95% confidence intervals. Results Socio-demographic Characteristics Of the 1,263 targeted study subjects, 1,254 participated (response rate 99.04%). Among them, 59.2% were male. The regional distribution, age, marital status, education, employment, and urban/rural residence were proportionally represented, reflecting the region’s demographic heterogeneity. Table 1 Socio-demographic characteristics of the participants in the Central region of Ethiopia, 2025 Variables Frequency % Age =51 199 15.9 Total 1250 100.0 Marital status Single 292 23.3 Married 892 71.3 Divorced 33 2.6 Widowed 30 2.5 Other Specify 3 0.3 Total 1250 100 Occupational status Daily laborers 74 5.9 Farmer 490 39.2 Government 116 9.3 Housewife 128 10.2 Merchant 233 18.6 Student 128 10.2 Others 82 6.5 Total 1251 100 Educational Status No formal education 365 29.2 primary school 495 39.6 Secondary school 238 19 Diploma 65 5.2 Degree and above 88 7.0 Total 1251 100 Residence Rural 807 64.5 Urban 444 35.5 Total 1251 100 Clinical Factors Suicidal Behavior Out of the 1,254 study subjects who responded about suicidal behavior, 105 (8.4%) had a suicidal risk. The overall suicidal behavior of the participants is presented in Fig. 1. Social Support The level of social support is divided into three subgroups: support from significant others, family, and friends. Each subgroup is further classified as low, moderate, or high based on mean scores ranging from 1 to 2.9, 3 to 5, and 5.1 to 7, respectively. The overall social support result is presented in Table 5. Table 3 level of social support of participants in Central Ethiopia Region, 2025 Level of social support Social support from significant others Social support from family members Social support from friends Low Frequency 1182 1182 259 Percent 94.5 94.5 20.7 Moderate Frequency 35 41 503 Percent 2.8 3.3 40.2 High Frequency 11 7 489 Percent 0.9 0.6 39.1 Table 6 Bivariate and multivariate logistic regression analysis of Schizophrenia among residents of Central Ethiopia Region, 2025 Variables Schizophrenia COR(95% CI) AOR(95% CI) YES N (%) No N(%) Social support Low 49(3.91) 466(37.16) 1 1 Moderate 19(1.52 ) 337(26.87) 0.54(0.31, 0.93) 0.57(0.34, 1.03) High 12(0.96 ) 371(37.49) 0.31(0.16, 0.59) 0.36 (0.19. 0.69) Suicidal Behavior of the participants Yes 20(1.59) 85(6.78) 4.27(2.45, 7.41) 2.47(1.48, 5.06) No 60(4.78) 1089(86.4) 1 1 Family History of mental illness No 51(4.07) 983(78.39) 1 1 Yes 29(2.31) 188(14.99 5.03(3.35, 7.56) 2.05(1.20, 3.51) This result indicates that, the likelihood of developing schizophrenia among those who have suicide behavior is (AOR = 2.47, p = 0.001) times more likely than those with no suicide behavior. Similarly, having a family history of mental illness increase (AOR = 2.05, p = 0.009) the likelihood of schizophrenia compared to those with no family history of mental illness. The odds of developing schizophrenia in those who have high social support is 64% (AOR = 0.36, p = 0.002) lower compared to who have low social support. Discussion The objectives of this study were, to identify the prevalence of Schizophrenia, Bipolar disorder, Major depressive disorder and generalized anxiety disorder and their respective associated factors. The overall prevalence of schizophrenia was 6.4%. This is by far higher than the findings from different part of Ethiopia; Addis Ababa (0.4%), Butajira (0.47%).( 8 , 9 ) The discrepancy might be due to: both of the previous studies were conducted among the populations which have the same sociocultural characteristic; whereas, this study was conducted region wide so that it included various nations with different sociocultural background which might contributed for inflating of the prevalence. Secondly, it might be attributed to time duration that both of the studies conducted 20 years before; global trend of schizophrenia indicates that prevalence of schizophrenia increased by 65% from 1990–2019.( 14 ) So, the inflation might be part of the global increment of prevalence of schizophrenia. Likewise, the discrepancy might be attributed to high family history of mental illness among the population of this study which supposed to increase the risk schizophrenia.( 15 – 18 ) This finding is also nearly comparable to a study conducted among Medicaid 10 year Continuously Insured population in USA(5.74).( 19 , 20 ) On the other hands, it is lower than a study conducted in Qatar(10.6%).( 21 ) The discrepancy might be due to the reason that the previous study was conducted among a population with high prevalence of parental consanguinity which increases the risk of schizophrenia since genetically contribution for schizophrenia is high (66–85%).( 22 , 23 ) After adjusting confounders, family history of mental illness was associated with schizophrenia, this is in line with various studies.( 15 , 16 , 24 ) Suicide behavior is also associated with schizophrenia; this is in line with studies.( 25 ) Poor social support found to be strongly associated with schizophrenia. This might be attributed for poor social functioning of patients in our study; since poor social support contributes for poor functioning.( 26 ) Strength of the study We used diagnostic tools The data was collected using Kobo toolkit software Data collectors are psychiatry professionals The study was across the region Limitation Recall bias, Social desirability bias Interviewer bias Conclusion This study aimed to assess the prevalence of schizophrenia and associated factors among the adult population in the Central Ethiopia Region. The study utilized a community-based cross-sectional study design and involved 1254 study subjects who were selected using a multistage sampling technique. The prevalence of schizophrenia was 6.4% CI [5.02, 7.73]. Regarding associated factors, social support, suicidal behavior, and a family history of mental illness were found to be associated with schizophrenia. So, it is crucial to design a preventive mechanism towards schizophrenia and enhance early diagnosis and treatment. Declarations Funding: All the researchers received funding from the Central Ethiopia Public Health Institute for the purpose of data collection. Ethics: The proposal underwent the appropriate ethical clearance process and received ethical clearance from the Central Ethiopia Regional Health Bureau Ethical Review Committee as indicated in the letter issued (secs-36/6820) on Feb 10/2025. Consent: Participants were assured consent by including statements indicating the aim of the study, the confidentiality of the data collection process, and that participation was voluntary. They were also informed that they could refrain from the interview at any time. Based on this information, they signed to continue the interview voluntarily. Consent to publish: Consent to publish is not applicable for this study, as it will not include any individual details. Competing interests: We declare that we have no conflicts of interest. Dual publication: No, the data in this manuscript have not been published elsewhere, nor are they under consideration. Third-party data and analysis: There is no third-party involvement either to generate or analyze data presented in the manuscript. Availability of data: all necessary data are presented in the main manuscript. References Kayi ES, Diab M, Pauselli L, Compton M, Coppersmith G. Predictive linguistic features of schizophrenia. arXiv preprint arXiv:181009377. 2018. Alqahtani A, Kay ES, Hamidian S, Compton M, Diab M. A quantitative and qualitative analysis of schizophrenia language. arXiv preprint arXiv:220110430. 2022. Arias D, Saxena S, Verguet S. Quantifying the global burden of mental disorders and their economic value. EClinicalMedicine. 2022;54. Collaborators GMD. 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Cite Share Download PDF Status: Under Review Version 1 posted Reviewers agreed at journal 17 Dec, 2025 Reviewers agreed at journal 08 Dec, 2025 Reviewers agreed at journal 05 Dec, 2025 Reviewers invited by journal 05 Dec, 2025 Editor invited by journal 11 Nov, 2025 Editor assigned by journal 07 Nov, 2025 Submission checks completed at journal 07 Nov, 2025 First submitted to journal 02 Nov, 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-8010669","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":557112252,"identity":"46c1b5a0-2296-4d66-be7f-52da9670afa0","order_by":0,"name":"DeribachewH. 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Berhanu","email":"","orcid":"","institution":"Ethiopian Public Health Institute","correspondingAuthor":false,"prefix":"","firstName":"SinafekeshA.","middleName":"","lastName":"Berhanu","suffix":""}],"badges":[],"createdAt":"2025-11-02 11:38:15","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-8010669/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-8010669/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":97895673,"identity":"5e5eacdc-ff7a-48f7-b006-d73436b4bee2","added_by":"auto","created_at":"2025-12-10 15:34:40","extension":"docx","order_by":0,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":88962,"visible":true,"origin":"","legend":"","description":"","filename":"SCHIZO.docx","url":"https://assets-eu.researchsquare.com/files/rs-8010669/v1/c40a90e2ee5544729fc09ef5.docx"},{"id":97787207,"identity":"d630df02-d9e8-4dc7-87d7-b7d492fd6c0d","added_by":"auto","created_at":"2025-12-09 10:56:21","extension":"json","order_by":1,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":11077,"visible":true,"origin":"","legend":"","description":"","filename":"0bf812905e8a4cfa838e8ea7ebee092e.json","url":"https://assets-eu.researchsquare.com/files/rs-8010669/v1/f37fc7e4e3e3102f99d5e26c.json"},{"id":97787211,"identity":"c0321795-31bc-41cd-b4dc-266e697faef7","added_by":"auto","created_at":"2025-12-09 10:56:21","extension":"xml","order_by":2,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":89177,"visible":true,"origin":"","legend":"","description":"","filename":"0bf812905e8a4cfa838e8ea7ebee092e1enriched.xml","url":"https://assets-eu.researchsquare.com/files/rs-8010669/v1/8a9db825956cf7604efcefc7.xml"},{"id":97787209,"identity":"faa71a86-97bb-4615-91eb-3b0c1803f9d1","added_by":"auto","created_at":"2025-12-09 10:56:21","extension":"xml","order_by":5,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":84136,"visible":true,"origin":"","legend":"","description":"","filename":"0bf812905e8a4cfa838e8ea7ebee092e1structuring.xml","url":"https://assets-eu.researchsquare.com/files/rs-8010669/v1/b7cfe603c945f128bc810b37.xml"},{"id":97897553,"identity":"de3b30df-59ec-4798-9652-ced26de6597b","added_by":"auto","created_at":"2025-12-10 15:37:57","extension":"html","order_by":6,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":98306,"visible":true,"origin":"","legend":"","description":"","filename":"earlyproof.html","url":"https://assets-eu.researchsquare.com/files/rs-8010669/v1/b5fb31fc2a200dc57ba0c0de.html"},{"id":97787205,"identity":"5b4954ac-6983-46bd-9bd4-c5ab9df8e0b8","added_by":"auto","created_at":"2025-12-09 10:56:21","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":38527,"visible":true,"origin":"","legend":"\u003cp\u003eSuicidal behavior among participants in Central Ethiopia Region, 2025\u003c/p\u003e","description":"","filename":"1.png","url":"https://assets-eu.researchsquare.com/files/rs-8010669/v1/2da094f2658576e93904f165.png"},{"id":97787206,"identity":"21c1bee5-31b0-4e28-8803-cf806ec5161a","added_by":"auto","created_at":"2025-12-09 10:56:21","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":42657,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cem\u003eLevel of risk of substance use among adult resident of Central Ethiopia Region, 2025\u003c/em\u003e\u003c/p\u003e","description":"","filename":"2.png","url":"https://assets-eu.researchsquare.com/files/rs-8010669/v1/dac7c0a8516216aec5531f27.png"},{"id":97902699,"identity":"98c8e7c8-78e7-4f4c-9c1d-3a5ce51f435e","added_by":"auto","created_at":"2025-12-10 15:53:36","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":799624,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-8010669/v1/af268c18-164c-434e-80a6-5dacc972ab22.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Prevalence and Associated Factors of Schizophrenia in Central Ethiopia Region: 2025","fulltext":[{"header":"Introduction","content":"\n\u003ch3\u003eBackground\u003c/h3\u003e\n\u003cp\u003eThe World Health Organization identifies schizophrenia as a leading cause of disability, not only due to its chronicity but also because of its association with high direct and indirect healthcare costs, increased mortality, and comorbid medical conditions. (\u003cspan additionalcitationids=\"CR2 CR3 CR4\" citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e–\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e)\u003c/p\u003e\u003cp\u003eEmerging research points to a growing occurrence of schizophrenia and its enduring disabilities, despite the progress made in psychiatric studies and treatment strategies. (\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e, \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e) In Ethiopia, mental health services remain under-resourced, and stigma towards psychiatric disorders persists. Previous studies from Addis Ababa and Butajira reported schizophrenia prevalence rates below 0.5%. (\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e, \u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e, \u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e) However, these findings are outdated, as they were conducted 23 years ago and couldn’t show the existing reality; they cannot be generalized to the broader and more heterogeneous populations of Central Ethiopia, where sociocultural and environmental factors may differ substantially. Finally, the region is a newly established one that has no such comprehensive data regarding the prevalence of schizophrenia.\u003c/p\u003e\u003cp\u003eUnderstanding not only the prevalence but also the constellation of associated psychosocial and clinical risk factors is essential for developing effective preventive and therapeutic strategies.\u003c/p\u003e\u003cp\u003eRegionally relevant data can guide the allocation of resources, the development of targeted interventions, and the design of community-based mental health services. Identification of associated risk factors enables early detection, risk stratification, and personalized therapeutic approaches. The findings contribute to the global discourse on the neurocognitive and linguistic dimensions of schizophrenia, offering a foundation for future interdisciplinary research. Increased awareness and accurate prevalence estimates may help reduce stigma and promote help-seeking behavior among affected individuals and communities.\u003c/p\u003e\u003cp\u003eObjective\u003c/p\u003e\u003cp\u003eGeneral Objective: To assess the prevalence and associated factors of schizophrenia among adult residents of the Central Ethiopia Region in 2025.\u003c/p\u003e\n\u003ch3\u003eSpecific Objectives:\u003c/h3\u003e\n\u003cp\u003e\u003c/p\u003e\u003cul\u003e\u003cli\u003e\u003cp\u003eTo determine the prevalence of schizophrenia among adult residents of the Central Ethiopia Region, 2025.\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eTo identify associated factors of schizophrenia among adult residents of the Central Ethiopia Region, 2025.\u003c/p\u003e\u003c/li\u003e\u003c/ul\u003e\u003cp\u003e\u003c/p\u003e\n\n\n"},{"header":"Method","content":"\u003cp\u003e\u003cstrong\u003eStudy Design\u003c/strong\u003e\u003c/p\u003e\u003cp\u003eA community-based, cross-sectional study design was employed to ensure representativeness across the region’s diverse population.\u003c/p\u003e\u003ch3\u003eSetting\u003c/h3\u003e\u003cp\u003eThe study was conducted in the Central Ethiopia Regional State, established as a new administrative entity comprising seven zones (Gurage, Silte, Halaba, Hadiya, Kembata, Yem, and Eastern Gurage), three special weredas (Kebena, Mareko, Tembaro), 55 weredas, and 27 town administrations. The region covers 15,156 square kilometers with an estimated population of 7.2\u0026nbsp;million. The health care infrastructure includes two comprehensive hospitals, four general hospitals, twenty primary hospitals, 230 health centers, and 1,157 health posts. Data collection occurred from March 1–30, 2025.\u003c/p\u003e\u003ch3\u003eParticipants\u003c/h3\u003e\u003cp\u003e\u003cstrong\u003eSource Population\u003c/strong\u003e\u003c/p\u003e\u003cp\u003eAll adult residents (≥ 18 years) of the Central Ethiopia Region.\u003c/p\u003e\u003cp\u003eStudy Population: Adults living in selected kebeles across the respective zones and weredas for at least six months.\u003c/p\u003e\u003cp\u003eInclusion Criteria: Adults aged 18 years or older and residents in the study area for at least six months.\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eExclusion Criteria\u003c/strong\u003e\u003c/p\u003e\u003cp\u003eAdults with severe mental illness unable to provide information, and without a knowledgeable family informant.\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eSampling\u003c/strong\u003e\u003c/p\u003e\u003cp\u003eA multistage sampling technique was adopted; all zones and special weredas were included. From each zone, 50% of weredas were randomly selected, and 30% of kebeles from selected weredas were randomly chosen. Households were selected using systematic random sampling proportional to kebele size. Within households with multiple eligible adults, one was randomly selected.\u003c/p\u003e\u003ch3\u003eVariables\u003c/h3\u003e\u003cp\u003eOutcome variable: schizophrenia\u003c/p\u003e\u003cp\u003eExplanatory variables: include age, sex, educational status, marital status, residential area, substance use disorder, social support, chronic medical illness, previous mental illness, family history of mental illness, and suicidal behavior.\u003c/p\u003e\u003ch3\u003eMeasurement\u003c/h3\u003e\u003ch2\u003eData Collection Instruments and Procedures\u003c/h2\u003e\u003cp\u003eSocio-demographic Questionnaire: Adapted from a comprehensive literature review to capture age, sex, marital status, education, occupation, and residential area.\u003c/p\u003e\u003cp\u003eClinical Factors: Questions on chronic medical illnesses, prior mental illness, suicidal behavior, and family history (yes/no).\u003c/p\u003e\u003cp\u003eDSM-5TR Diagnostic Criteria for Schizophrenia: Diagnosis required at least two of five specified symptoms persisting for a minimum of six months.\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cul\u003e\u003cli\u003e\u003cp\u003eSuicidal Behavior Questionnaire – Revised (SBQ-R): Four-item scale with a ≥ 7 cut-off for high risk; sensitivity 93%, specificity 95%. (\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e)\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eMultidimensional Scale of Perceived Social Support (MSPSS): Twelve-item scale, subdivided into support from significant others, family, and friends, categorized as low (1–2.9), moderate (\u003cspan additionalcitationids=\"CR4\" citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e–\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e), and high (5.1–7). (\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e)\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eAlcohol, Smoking, and Substance Involvement Screening Test (ASSIST) V3.1: Adapted for substance use assessment.(\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e)\u003c/p\u003e\u003c/li\u003e\u003c/ul\u003e\u003cp\u003eData was collected using Kobo Toolbox software by trained psychiatry professionals. Pre-testing and daily supervision ensured data quality.\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eSample Size\u003c/strong\u003e\u003c/p\u003e\u003cp\u003eCalculated using a single population proportion formula, with an assumed proportion of 37.9% for common mental disorders (\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e), a 95% confidence interval, 4% margin of error, 10% non-response rate, and a design effect of 2. The final sample size was 1,263.\u003c/p\u003e\u003ch3\u003eData Processing and Analysis\u003c/h3\u003e\u003cp\u003eData cleaning and coding were performed before the analysis with SPSS v24. Both bivariate (binary logistic regression) and multivariate logistic regression analyses were conducted. Variables with a p-value below 0.25 in bivariate analysis were included in the multivariate model. Collinearity was assessed using Variance Inflation Factor (VIF), and model fit by the Hosmer and Lemeshow test. Statistical significance was set at p \u0026lt; 0.05. Results were presented as adjusted odds ratios (AOR) with 95% confidence intervals.\u003c/p\u003e"},{"header":"Results","content":"\u003cp\u003eSocio-demographic Characteristics\u003c/p\u003e\n\u003cp\u003eOf the 1,263 targeted study subjects, 1,254 participated (response rate 99.04%). Among them, 59.2% were male. The regional distribution, age, marital status, education, employment, and urban/rural residence were proportionally represented, reflecting the region’s demographic heterogeneity.\u003c/p\u003e\n\u003cdiv\u003e\n \u003ctable id=\"Tab1\" border=\"1\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv\u003eTable 1\u003c/div\u003e\n \u003cdiv\u003e\n \u003cp\u003eSocio-demographic characteristics of the participants in the Central region of Ethiopia, 2025\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eVariables\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colspan=\"2\"\u003e\u0026nbsp;\u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eFrequency\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003e%\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" rowspan=\"4\"\u003e\n \u003cp\u003eAge\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e\u0026lt; 30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e476\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e38.1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e31–40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e362\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e29.0\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e41–50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e213\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e17.0\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e\u0026gt;=51\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e199\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e15.9\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"3\"\u003e\n \u003cp\u003eTotal\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1250\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e100.0\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" rowspan=\"5\"\u003e\n \u003cp\u003eMarital status\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003eSingle\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e292\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e23.3\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003eMarried\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e892\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e71.3\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003eDivorced\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2.6\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003eWidowed\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2.5\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003eOther Specify\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.3\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"3\"\u003e\n \u003cp\u003eTotal\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1250\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e100\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" rowspan=\"7\"\u003e\n \u003cp\u003eOccupational status\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003eDaily laborers\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e5.9\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003eFarmer\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e490\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e39.2\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003eGovernment\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e116\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e9.3\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003eHousewife\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e128\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e10.2\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003eMerchant\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e233\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e18.6\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003eStudent\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e128\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e10.2\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003eOthers\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e6.5\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"3\"\u003e\n \u003cp\u003eTotal\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1251\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e100\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"2\" rowspan=\"5\"\u003e\n \u003cp\u003eEducational Status\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eNo formal education\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e365\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e29.2\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eprimary school\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e495\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e39.6\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eSecondary school\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e238\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e19\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eDiploma\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e5.2\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eDegree and above\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e88\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e7.0\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003eTotal\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1251\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e100\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003eResidence\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eRural\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e807\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e64.5\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eUrban\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e444\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e35.5\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003eTotal\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1251\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e100\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n\u003c/div\u003e\n\u003cp\u003eClinical Factors\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\"\u003e\u003c/p\u003e\n\u003cdiv\u003e\n \u003ch2\u003eSuicidal Behavior\u003c/h2\u003e\n \u003cp\u003eOut of the 1,254 study subjects who responded about suicidal behavior, 105 (8.4%) had a suicidal risk. The overall suicidal behavior of the participants is presented in Fig.\u0026nbsp;1.\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec12\"\u003e\n \u003ch2\u003eSocial Support\u003c/h2\u003e\n \u003cp\u003eThe level of social support is divided into three subgroups: support from significant others, family, and friends. Each subgroup is further classified as low, moderate, or high based on mean scores ranging from 1 to 2.9, 3 to 5, and 5.1 to 7, respectively. The overall social support result is presented in Table\u0026nbsp;5.\u003c/p\u003e\n \u003cdiv\u003e\n \u003ctable id=\"Tab3\" border=\"1\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv\u003eTable 3\u003c/div\u003e\n \u003cdiv\u003e\n \u003cp\u003elevel of social support of participants in Central Ethiopia Region, 2025\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003eLevel of social support\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eSocial support from significant others\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eSocial support from family members\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eSocial support from friends\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" rowspan=\"2\"\u003e\n \u003cp\u003eLow\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eFrequency\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1182\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1182\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e259\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePercent\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e94.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e94.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e20.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" rowspan=\"2\"\u003e\n \u003cp\u003eModerate\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eFrequency\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e41\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e503\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePercent\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e40.2\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" rowspan=\"2\"\u003e\n \u003cp\u003eHigh\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eFrequency\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e489\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePercent\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e39.1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n \u003c/div\u003e\n \u003cdiv\u003e\n \u003ctable id=\"Tab4\" border=\"1\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv\u003eTable 6\u003c/div\u003e\n \u003cdiv\u003e\n \u003cp\u003eBivariate and multivariate logistic regression analysis of Schizophrenia among residents of Central Ethiopia Region, 2025\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"2\" rowspan=\"2\"\u003e\n \u003cp\u003eVariables\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003eSchizophrenia\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" rowspan=\"2\"\u003e\n \u003cp\u003eCOR(95% CI)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" rowspan=\"2\"\u003e\n \u003cp\u003eAOR(95% CI)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eYES N (%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eNo N(%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" rowspan=\"3\"\u003e\n \u003cp\u003eSocial support\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eLow\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e49(3.91)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e466(37.16)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eModerate\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e19(1.52 )\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e337(26.87)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.54(0.31, 0.93)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.57(0.34, 1.03)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eHigh\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e12(0.96 )\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e371(37.49)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.31(0.16, 0.59)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.36 (0.19. 0.69)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" rowspan=\"2\"\u003e\n \u003cp\u003eSuicidal Behavior of the participants\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e20(1.59)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e85(6.78)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e4.27(2.45, 7.41)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2.47(1.48, 5.06)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e60(4.78)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1089(86.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" rowspan=\"2\"\u003e\n \u003cp\u003eFamily History of mental illness\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e51(4.07)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e983(78.39)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e29(2.31)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e188(14.99\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e5.03(3.35, 7.56)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2.05(1.20, 3.51)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n \u003c/div\u003e\n \u003cp\u003eThis result indicates that, the likelihood of developing schizophrenia among those who have suicide behavior is (AOR = 2.47, p = 0.001) times more likely than those with no suicide behavior. Similarly, having a family history of mental illness increase (AOR = 2.05, p = 0.009) the likelihood of schizophrenia compared to those with no family history of mental illness. The odds of developing schizophrenia in those who have high social support is 64% (AOR = 0.36, p = 0.002) lower compared to who have low social support.\u003c/p\u003e\n\u003c/div\u003e"},{"header":"Discussion","content":"\u003cp\u003eThe objectives of this study were, to identify the prevalence of Schizophrenia, Bipolar disorder, Major depressive disorder and generalized anxiety disorder and their respective associated factors.\u003c/p\u003e\u003cp\u003eThe overall prevalence of schizophrenia was 6.4%. This is by far higher than the findings from different part of Ethiopia; Addis Ababa (0.4%), Butajira (0.47%).(\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e, \u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e) The discrepancy might be due to: both of the previous studies were conducted among the populations which have the same sociocultural characteristic; whereas, this study was conducted region wide so that it included various nations with different sociocultural background which might contributed for inflating of the prevalence. Secondly, it might be attributed to time duration that both of the studies conducted 20 years before; global trend of schizophrenia indicates that prevalence of schizophrenia increased by 65% from 1990–2019.(\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e) So, the inflation might be part of the global increment of prevalence of schizophrenia. Likewise, the discrepancy might be attributed to high family history of mental illness among the population of this study which supposed to increase the risk schizophrenia.(\u003cspan additionalcitationids=\"CR16 CR17\" citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e–\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e) This finding is also nearly comparable to a study conducted among Medicaid 10 year Continuously Insured population in USA(5.74).(\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e, \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e) On the other hands, it is lower than a study conducted in Qatar(10.6%).(\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e) The discrepancy might be due to the reason that the previous study was conducted among a population with high prevalence of parental consanguinity which increases the risk of schizophrenia since genetically contribution for schizophrenia is high (66–85%).(\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e, \u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e)\u003c/p\u003e\u003cp\u003eAfter adjusting confounders, family history of mental illness was associated with schizophrenia, this is in line with various studies.(\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e, \u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e, \u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e) Suicide behavior is also associated with schizophrenia; this is in line with studies.(\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e) Poor social support found to be strongly associated with schizophrenia. This might be attributed for poor social functioning of patients in our study; since poor social support contributes for poor functioning.(\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e)\u003c/p\u003e\u003cdiv id=\"Sec14\" class=\"Section2\"\u003e\u003ch2\u003eStrength of the study\u003c/h2\u003e\u003cp\u003e\u003c/p\u003e\u003cul\u003e\u003cli\u003e\u003cp\u003eWe used diagnostic tools\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eThe data was collected using Kobo toolkit software\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eData collectors are psychiatry professionals\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eThe study was across the region\u003c/p\u003e\u003c/li\u003e\u003c/ul\u003e\u003cp\u003e\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec15\" class=\"Section2\"\u003e\u003ch2\u003eLimitation\u003c/h2\u003e\u003cp\u003e\u003c/p\u003e\u003cul\u003e\u003cli\u003e\u003cp\u003eRecall bias,\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eSocial desirability bias\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eInterviewer bias\u003c/p\u003e\u003c/li\u003e\u003c/ul\u003e\u003cp\u003e\u003c/p\u003e\u003c/div\u003e"},{"header":"Conclusion","content":"\u003cp\u003eThis study aimed to assess the prevalence of schizophrenia and associated factors among the adult population in the Central Ethiopia Region. The study utilized a community-based cross-sectional study design and involved 1254 study subjects who were selected using a multistage sampling technique. The prevalence of schizophrenia was 6.4% CI [5.02, 7.73].\u003c/p\u003e\u003cp\u003eRegarding associated factors, social support, suicidal behavior, and a family history of mental illness were found to be associated with schizophrenia. So, it is crucial to design a preventive mechanism towards schizophrenia and enhance early diagnosis and treatment.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eFunding:\u003c/strong\u003e All the researchers received funding from the Central Ethiopia Public Health Institute for the purpose of data collection.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthics:\u003c/strong\u003e The proposal underwent the appropriate ethical clearance process and received ethical clearance from the Central Ethiopia Regional Health Bureau Ethical Review Committee as indicated in the letter issued (secs-36/6820) on Feb 10/2025.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent:\u003c/strong\u003e Participants were assured consent by including statements indicating the aim of the study, the confidentiality of the data collection process, and that participation was voluntary. They were also informed that they could refrain from the interview at any time. Based on this information, they signed to continue the interview voluntarily.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent to publish:\u003c/strong\u003e Consent to publish is not applicable for this study, as it will not include any individual details.\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompeting interests:\u003c/strong\u003e We declare that we have no conflicts of interest.\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eDual publication:\u003c/strong\u003e No, the data in this manuscript have not been published elsewhere, nor are they under consideration.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eThird-party data and analysis:\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThere is no third-party involvement either to generate or analyze data presented in the manuscript.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAvailability of data:\u003c/strong\u003e all necessary data are presented in the main manuscript.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eKayi ES, Diab M, Pauselli L, Compton M, Coppersmith G. Predictive linguistic features of schizophrenia. arXiv preprint arXiv:181009377. 2018.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eAlqahtani A, Kay ES, Hamidian S, Compton M, Diab M. A quantitative and qualitative analysis of schizophrenia language. arXiv preprint arXiv:220110430. 2022.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eArias D, Saxena S, Verguet S. Quantifying the global burden of mental disorders and their economic value. EClinicalMedicine. 2022;54.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eCollaborators GMD. Global, regional, and national burden of 12 mental disorders in 204 countries and territories, 1990\u0026ndash;2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet Psychiatry. 2022;9(2):137\u0026ndash;50.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eYang H, Yu H. Burden in Schizophrenia: A Literature review2022.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eMizutani R, Noguchi S, Saiga R, Yamashita Y, Miyashita M, Arai M, et al. Schizophrenia-mimicking layers outperform conventional neural network layers. Front Neurorobotics. 2022;16:851471.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eCrespo-Facorro B, Such P, Nylander A-G, Madera J, Resemann HK, Worthington E, et al. The burden of disease in early schizophrenia \u0026ndash; a systematic literature review. Curr Med Res Opin. 2021;37(1):109\u0026ndash;21.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eKebede D, Alem A. Major mental disorders in Addis Ababa, Ethiopia. I. Schizophrenia, schizoaffective and cognitive disorders. Acta psychiatrica Scand Suppl. 1999;397:11\u0026ndash;7.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eKebede D, Alem A, Shibre T, Negash A, Fekadu A, Fekadu D, et al. Onset and clinical course of schizophrenia in Butajira-Ethiopia: a community-based study. Soc Psychiatry Psychiatr Epidemiol. 2003;38(11):625\u0026ndash;31.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eOsman A, Bagge CL, Gutierrez PM, Konick LC, Kopper BA, Barrios FX. The Suicidal Behaviors Questionnaire-Revised (SBQ-R): validation with clinical and nonclinical samples. Assessment. 2001;8(4):443\u0026ndash;54.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eZimet GD, Dahlem NW, Zimet SG, Farley GK. The multidimensional scale of perceived social support. J Pers Assess. 1988;52(1):30\u0026ndash;41.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eAdmasu Basha E, Semu Tefera A, Tesema Tilahun A, Fenta Amede A. Magnitude and Associated Factors of Psychoactive Substance Use among Youths at Selected Administrative Towns of North Shewa Zone, Amhara Region, Ethiopia. J Addict. 2023;2023:2124999.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eMuze M, Denur M, Hussein M, Muzemil M, Yesse M, Kedir S. Prevalence and associated factors of common mental disorders among adult residents in Silte zone, southern Ethiopia. Volume 17. Clinical Practice and Epidemiology in Mental Health: CP \u0026amp; EMH; 2021. p. 128.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eSolmi M, Seitidis G, Mavridis D, Correll CU, Dragioti E, Guimond S, et al. Incidence, prevalence, and global burden of schizophrenia-data, with critical appraisal, from the Global Burden of Disease (GBD) 2019. Mol Psychiatry. 2023;28(12):5319\u0026ndash;27.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eMohammed F, Geda B, Yadeta TA, Dessie Y. Profiles and factors associated with schizophrenia in eastern Ethiopia: A matched case-control study. Front Psychiatry. 2022;13:1016005.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eD\u0026iacute;az-Castro L, Hoffman K, Cabello-Rangel H, Arredondo A, Herrera-Estrella M\u0026Aacute;. Family history of psychiatric disorders and clinical factors associated with a schizophrenia diagnosis. INQUIRY: J Health Care Organ Provis Financing. 2021;58:00469580211060797.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eBener A, Dafeeah E, Samson N. Does consanguinity increase the risk of schizophrenia? Study based on primary health care centre visits. Mental health family Med. 2012;9:241\u0026ndash;8.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eAgarwal V, Thirthalli J, Kumar CN, Christopher R, Arunachal U, Reddy G. Parental consanguinity among patients with schizophrenia in a rural community of South India: A clinical and genetic investigation. Asian J Psychiatry. 2021;64:102814.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eFinnerty MT, Khan A, You K, Wang R, Gu G, Layman D, et al. Prevalence and incidence measures for schizophrenia among commercial health insurance and medicaid enrollees. Schizophrenia. 2024;10(1):68.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eFinnerty MT, Khan A, You K, Wang R, Gu G, Layman D et al. Incidence Measures for Schizophrenia among Commercial Health Insurance and Medicaid Enrollees. medRxiv. 2023:2023.02. 24.23286405.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eBener A, Dafeeah EE, Samson N. Does consanguinity increase the risk of schizophrenia? Study based on primary health care centre visits. Mental health family Med. 2012;9(4):241.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eHilker R, Helenius D, Fagerlund B, Skytthe A, Christensen K, Werge TM, et al. Heritability of schizophrenia and schizophrenia spectrum based on the nationwide Danish twin register. Biol Psychiatry. 2018;83(6):492\u0026ndash;8.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eCardno AG, Marshall EJ, Coid B, Macdonald AM, Ribchester TR, Davies NJ, et al. Heritability estimates for psychotic disorders: the Maudsley twin psychosis series. Arch Gen Psychiatry. 1999;56(2):162\u0026ndash;8.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eBr\u0026oslash;bech P, Pedersen MG, Pedersen C. Psychiatric family history and schizophrenia risk in Denmark: Which mental disorders are relevant? Psychol Med. 2009;40:201\u0026ndash;10.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eLyu J, Zhang J, Hennessy DA. Characteristics and risk factors for suicide in people with schizophrenia in comparison to those without schizophrenia. Psychiatry Res. 2021;304:114166.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eSamuel T, Nigussie K, Mirkena Y, Azale T. Relationship between social support and schizophrenia relapse among patients with schizophrenia on follow-up at Amanuel Mental Specialized Hospital, Addis Ababa, Ethiopia: A case-control study. Front Psychiatry. 2022;13:980614.\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"bmc-psychiatry","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"bpsy","sideBox":"Learn more about [BMC Psychiatry](http://bmcpsychiatry.biomedcentral.com/)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/bpsy/default.aspx","title":"BMC Psychiatry","twitterHandle":"@BMC_series","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"em","reportingPortfolio":"BMC Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"Schizophrenia, Prevalence, Central Ethiopia Region, Suicidal Behavior, Family History of Mental Illness, social Support","lastPublishedDoi":"10.21203/rs.3.rs-8010669/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-8010669/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003ch2\u003eBackground\u003c/h2\u003e\u003cp\u003eSchizophrenia is identified as one of the maximum disabling mental problems, rating some of the top ten causes of incapacity globally. Its miles characterized via disturbances in notion, belief, emotion, and behavior. Schizophrenia imposes tremendous burdens on affected people, their families, and health structures. In Ethiopia, intellectual health offerings continue to be under-resourced, and stigma in the direction of psychiatric disorders persists. The take a look at aimed to assess the prevalence and related elements of schizophrenia within the critical Ethiopia area.\u003c/p\u003e\u003ch2\u003eMethod\u003c/h2\u003e\u003cp\u003eThe study employed a quantitative community-based cross-sectional study design. It included 1254 adult study subjects from the entire region. A multistage sampling approach was used to select the study subjects. Each bivariate (binary logistic regression) and multivariate logistic regression analyses were carried out. Variables with a p-fee below 0.25 in bivariate evaluation have been included inside the multivariate analysis. Statistical significance become set at p\u0026thinsp;\u0026lt;\u0026thinsp;0.05. Effects were presented as adjusted odds ratios (AOR) with 95% of CI.\u003c/p\u003e\u003ch2\u003eResult\u003c/h2\u003e\u003cp\u003eoverall prevalence: 6.4% (n\u0026thinsp;=\u0026thinsp;80; 95% CI: 5.02\u0026ndash;7.73) met DSM-5TR standards for schizophrenia, of which 68.7% (55) of schizophrenia instances have been male. Regarding related elements, Suicidal behavior (AOR\u0026thinsp;=\u0026thinsp;2.47, p\u0026thinsp;=\u0026thinsp;0.001), family history of mental illness (AOR\u0026thinsp;=\u0026thinsp;0.36, p\u0026thinsp;=\u0026thinsp;0.002), and Social assist (AOR\u0026thinsp;=\u0026thinsp;2.05, p\u0026thinsp;=\u0026thinsp;0.009) were statistically associated variables.\u003c/p\u003e\u003ch2\u003eConclusion\u003c/h2\u003e\u003cp\u003eThis finding suggests that the superiority of schizophrenia is substantially high and alarming. Suicidal conduct, relatives records of mental illness, and social aid are related factors with schizophrenia. An exponential growth in the superiority of schizophrenia wishes unique attention to layout strategies that enhance prevention and treatment access to mental health services.\u003c/p\u003e","manuscriptTitle":"Prevalence and Associated Factors of Schizophrenia in Central Ethiopia Region: 2025","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-12-09 10:56:16","doi":"10.21203/rs.3.rs-8010669/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"reviewerAgreed","content":"331019724353256066871134264678601525830","date":"2025-12-17T07:04:59+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"90157907300347362121174426434135659301","date":"2025-12-08T15:56:07+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"124299073649558489371017830957841004332","date":"2025-12-05T18:10:17+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2025-12-05T16:43:37+00:00","index":"","fulltext":""},{"type":"editorInvited","content":"","date":"2025-11-11T18:08:31+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2025-11-07T12:32:21+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2025-11-07T12:30:42+00:00","index":"","fulltext":""},{"type":"submitted","content":"BMC Psychiatry","date":"2025-11-02T11:29:02+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"bmc-psychiatry","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"bpsy","sideBox":"Learn more about [BMC Psychiatry](http://bmcpsychiatry.biomedcentral.com/)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/bpsy/default.aspx","title":"BMC Psychiatry","twitterHandle":"@BMC_series","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"em","reportingPortfolio":"BMC Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"8dc71127-afcf-4131-b259-5033c8dc7a36","owner":[],"postedDate":"December 9th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"under-review","subjectAreas":[],"tags":[],"updatedAt":"2025-12-09T10:56:17+00:00","versionOfRecord":[],"versionCreatedAt":"2025-12-09 10:56:16","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-8010669","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-8010669","identity":"rs-8010669","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}
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