{"paper_id":"08af00e4-b9ef-42fc-bc5d-cd96105dddb4","body_text":"Evaluation Of Physical Activity And Diet Interventions In Preventing Childhood Obesity In The United States Of America: A Systematic Review | 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 Evaluation Of Physical Activity And Diet Interventions In Preventing Childhood Obesity In The United States Of America: A Systematic Review Christopher Ifunanya Chukwu, Natalie Quinn-Walker, Adrian Smith This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6035753/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Introduction: In the United States, ethnic/racial minorities and poor socioeconomic status children are disproportionately affected by childhood obesity. Among Organization for Economic Cooperation and Development member states, the United States has the highest obesity rate in the world. In an investigation of the prevalence of childhood obesity in the United States, no age group showed indications of a decrease. Obesity prevention in children is a global priority. Diet and physical activity are considered to be changeable behavioural factors that affect overweight and obesity. A significant body of research on behavioural risk factors associated with childhood obesity implies that physical activity and eating behaviours are related and likely bidirectionally causal, and hence should be explored simultaneously in this study. Methods: A narrative synthesis for quantitative studies was chosen to answer the research questions in this systematic review because it helps to organise, describe, investigate, and evaluate study findings. The systematic search utilised specified combinations of MeSH words, Boolean operators, and Truncation and was conducted using three databases: PubMed, MEDLINE, and Child Development & Adolescent Studies and covered between the year 2016 and 2022. The study followed the PRISMA guideline to eliminate irrelevant papers. Only ten papers published in English were selected for the study. The Critical Appraisal Skills Programme for Randomised Control Trial (RCT) research appraisal instrument was utilised to evaluate the study's quality. Results: Included were ten studies from across the United States between the year 2016 to 2022. These studies were undertaken primarily in two distinct settings: the school and the community. The review found that childhood obesity is still pervasive in the United States, especially among racial/ethnic minorities and low-income groups, and will continue to rise if not adequately addressed. Conclusions: The current behavioural interventions, which include physical activity and nutrition education, are capable of positively influencing weight-related outcomes and BMI among 5 to 18-year-old children in the United States, but an integrated multicomponent strategy will achieve better results. Nonetheless, future RCT research should focus a greater emphasis on systemic therapies, such as policy and socioeconomic interventions. Child Adolescent Obesity Exercise Physical activity Diet Figures Figure 1 INTRODUCTION 1.1 Background Obesity is a rapidly escalating global public health issue which affects more than one billion people worldwide [ 1 , 2 ]. Therefore, prevention of childhood obesity has become a global priority [ 3 ]. Obesity is a leading cause of disability worldwide, and it has been linked to an increase in all-cause mortality [ 4 ]. Obesity, undernourishment, and climate change are three interconnected pandemics that together form what is known as the global syndemic. This is because they comprise a synergy of epidemics, as they co-occur in time and location, interact with one another to produce complicated sequelae, and share shared underlying socioeconomic factors [ 5 ]. Globally, the number of obese children has more than tenfold increased: from 5 and 6 million in 1975 to 50 and 74 million in 2016 [ 6 ]. Also, in 2022, more than 390 million children and adolescents aged 5–19 were overweight. The rate of overweight and obesity in this age group has increased dramatically, from just 8% in 1990 to 20% by 2022. This rise has been seen in both boys and girls, with 21% and 19% classified as overweight respectively [ 2 ]. As a result, if current trends continue, obesity is expected to affect 25% of all children under the age of 16 by the end of 2050 [ 6 ]. In Europe, more than 20% of children are overweight or obese, with a lower prevalence rate in Sub-Saharan African and Asian countries [ 7 ]. A quarter of youngsters in the United Kingdom are overweight or obese by the age of five [ 8 ]. More specifically, in the United States, one-third of children and adolescents are classed as overweight or obese [ 9 ] affecting 18.5 percent of all children aged 2 to 19 [ 10 ]. Moreover, according to data from the National Survey of Children's Health, 17.0% of children aged 10 to 17 were obese in 2021–2022 [ 11 ]. Unfortunately, there are large variations among race, ethnicity, and household income. Obesity rates were significantly higher among Hispanic (22.7%), non-Hispanic Black (22.0%), non-Hispanic American Indian/Alaska Native (21.4%) youngsters as well as children with the lowest income (24.1%) [ 11 ]. Social determinants of health (SDH) are the circumstances in which people are born, grow, work, live, and age, as well as the more extensive collection of factors and institutions that shape daily life conditions [ 12 ]. Moreover, SDH differences affect chronic disease outcomes and hazards, including obesity, across racial, ethnic, and socioeconomic groups, as well as across geographies and physical capacities [ 13 ]. Obesity is associated with the lower socioeconomic position in high-income countries, however, in other poor countries, the opposite is true, with children from relatively affluent homes being more sensitive to obesity [ 14 ]. The primary cause of overweight and obesity is an energy imbalance between the energy consumed and the amount exerted [ 15 ]. Genetic and environmental factors can cause weight gain; nevertheless, obesogenic variables, or risk factors for childhood obesity, include behavioural, ecological and economic factors [ 10 ]. An obesogenic environment as promoting an individual's excessive calorie consumption and sedentary behaviour [ 16 ]. Sedentism and high consumption of energy-dense foods and sugar-containing beverages are behavioural causes [ 10 ]. Environmental influences include a lack of physical activity and/or inadequate food options [ 10 ]. While economic factors include energy-dense foods offered in huge portions that are less expensive and more readily available than fresh food [ 10 ]. Subsequently, studies looking into the causes of the rise in obesity prevalence have discovered a strong link between obesity and urbanisation, as well as obesity and physical activity, and chronic diseases [ 16 ]. Obesity is a direct cause of morbidities in children, leading to gastrointestinal, musculoskeletal, and orthopedic issues, as well as sleep apnea, the early onset of cardiovascular disease, and type 2 diabetes. It is also associated with various noncommunicable diseases (NCDs) and their related comorbidities [ 6 ]. Obesity, on the other hand, can have serious effects on a child's physical and mental health that can endure into adulthood [ 17 ]. The United Nations' Sustainable Development Goals, established in 2015, also prioritise preventing and controlling NCDs, including obesity [ 18 ]. 1.2 Defining the Research Questions and Relevance of Study: Obesity was proclaimed a global epidemic by the WHO in 2002, and the Organization for Economic Cooperation and Development (OECD) named it the greatest threat to the Western world [ 19 ]. Childhood obesity has reached epidemic proportions in the United States, affecting millions of individuals [ 20 ]. According to Ahmad et al, 80 percent of children aged 10 to 14 years, 25 percent of toddlers under the age of 5, and 50 percent of children aged 6 to 9 years who are obese are at risk of becoming obese adults [ 20 ]. Unfortunately, the United States has the highest obesity rates in the world among OECD countries [ 21 ]. In an examination of the prevalence of childhood obesity in the United States from 1996 to 2016, there was no evidence of a reduction in any age group [ 21 ]. Rapid urbanisation in the United States is responsible for considerable changes in food habits and physical activity levels, which tend to raise the risk of childhood obesity [ 16 , 22 ]. In other words, these have led to an increase in the consumption of high-calorie foods, an increase in the use of passive modes of transportation, a decrease in the amount of open space, an increase in the consumption of mass media, and a reduction in the amount of work that requires physical activity.. Furthermore, inequality in childhood obesity exists in the United States, where prevalence is disproportionately higher among racial and/or ethnic minority children compared to their white peers [ 23 ]. In 2019, one in seven children (10.7 million) were food insecure, living in households without enough food. These families struggled to afford healthy meals, often relying on low-cost food, skipping meals, or going hungry [ 24 ]. Following that, COVID-19 has increased the underlying deficiencies in federal nutrition support, leaving children without consistent access to healthy meals all year [ 24 ]. A study of 432,302 children aged 2 to 19 years discovered that the rate of BMI gains virtually doubled during the COVID-19 pandemic when compared to a pre-pandemic period [ 13 ]. Current national policies to treat the obesity pandemic in America include nutrition assistance policies, consumer information policies, nutrition facts, school and early childhood policies, physical education, coverage, and prevention policies [ 21 ]. While national policies provide various benefits, they can be challenging to implement in vast and varied nations such as the United States [ 84 ]. The solutions are helpful but require more work, especially among low-income families [ 21 ]. The Ottawa Charter outlines four key action areas for health promotion: developing personal skills by enhancing knowledge, behaviors, and beliefs; strengthening community action through environmental and setting-based approaches; reorienting health services to prioritize health promotion; and creating supportive environments and public policies that foster health across sectors [ 14 ]. Evidently, multicomponent therapies incorporating nutrition education, physical activity, behaviour change, and parenting practises that target more than one energy balance-related behaviour are considered best practices [ 27 ]. Evidence suggests that it is critical to begin intervention and prevention initiatives at a young ag [ 25 ]. The World Health Organization has emphrasised the necessity of encouraging the use of healthy foods and physical activity [ 21 ] This study is essential as childhood obesity is a growing concern in developed countries, prompting governments to take preventive measures [ 21 ]. With limited systematic reviews on lifestyle modifications targeting childhood obesity in the U.S., this review focuses on interventions combining diet and physical activity, given their bidirectional influence on obesity [26;27]. It aims to provide updated evidence from randomized control trials (RCTs) to support decision-makers in planning and resource allocation. 1.2.1 Aim and Objectives The aim of this study is to evaluate current physical activity and diet interventions in preventing childhood obesity in the USA. The research question is what current physical activity and diet interventions exist to prevent childhood obesity in the USA? The specific objectives are: To critically assess current information on childhood obesity in the USA To critically access the combined effects of dietary education and physical activity interventions versus control on changes in BMI among children between 5 and 18 years old To critically evaluate the sociodemographic characteristics of participants of the interventions The corresponding questions are: What is the current information on childhood obesity in the USA? What are the combined effects of dietary education and physical activity interventions versus control on changes in BMI among children between 5 and 18 years old? What are the sociodemographic characteristics of participants of the interventions? METHODOLOGY 2.1 Search strategy and selection criteria This systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines [ 28 ]. The electronic library of Birmingham City University (BCU) was used to systematically search three databases: MEDLINE, CDAS, and PubMed. The search focused on relevant articles published in English from 2016 up to July 31, 2022. Boolean operators, truncation, and Medical Subject Headings (MeSH) were applied to identify the most relevant keywords for the study. The following terms were used in combination: (Child) OR (Adolescent) AND (Obesity) AND (Exercise) AND (Diet). The three databases were selected for their unique strengths. PubMed, a widely accessible interface for MEDLINE and other National Library of Medicine (NLM) resources, is a leading repository for biomedical literature [ 29 ]. MEDLINE, NLM's main bibliographic database, contains over 29 million life sciences references, with records indexed using MeSH (Dunn et al., 2017). CDAS, specializing in child development and growth up to age 21, automatically includes child and adolescent terms in its searches [ 30 ]. One author conducted the database search, titles, abstracts, and full-text screening and review as part of BCU's Master of Public Health programme [ 31 ]. 2.2 Ethical Approval and Informed Consent This systematic study did not require ethics approval or informed consent because it used publicly available records as evidence and is rarely required to obtain institutional ethics permission before proceeding [ 31 ]. 2.3 Study eligibility and rationale Articles published only in English up to July 25, 2022, were included. Research has shown that combined diet and activity interventions result in more significant weight loss than diet or physical activity alone [ 33 ].. The study included RCTs of combined nutrition and physical activity interventions with BMI as an outcome measure and can be delivered through education, counseling, or motivation. This is because health education counseling, or motivation is connected with increased physical activity and improved eating, which can benefit obesity-reduction measures [ 21 ]. Interventions may also have included other elements such as lifestyle change (e.g., changes to sedentary behaviour or sleep) and social support. This is considered because various studies link physical activity, food, screen time, and sleep with obesity [ 26 ]. The major participants are children but may include parents/guardians because children are under their care. Also, parents and other caregivers (guardians) substantially impact children's food, physical activity, and other health behaviours [ 34 ]. The English language was selected as a criterion for this study due to its status as an international language and its importance in academic research for producing high-quality articles suitable for publication in reputable journals [ 35 ]. Peer-reviewed scholarly publications were prioritized to ensure the research underwent expert scrutiny, which promotes the production of high-quality research while maintaining integrity and credibility in scientific advancements [ 36 ]. Randomized controlled trials (RCTs) were chosen as the study design because they are prospective studies that reduce bias and provide a robust method for examining cause-and-effect relationships between interventions and outcomes. Randomization ensures that participant characteristics are balanced across groups, allowing any differences in outcomes to be attributed to the intervention [ 37 ]. The study included interventions from various settings, such as communities, schools, healthcare, and home care, recognizing that successful obesity treatment requires understanding complex relationships and integrating health systems and communities [ 38 ] Children aged 5 to 18 were the focus due to the rising trend of childhood obesity in the U.S., with risks of social, physical, and emotional challenges persisting into adulthood [ 20 ]. The U.S. was chosen due to its significant obesity inequality, linked to poverty, low income, and food insecurity, as well as having the highest obesity rates among OECD countries [ 39 , 21 ]. The study examined research from 2015 to 2022 to provide up-to-date clinical evidence, crucial for informed policy and healthcare decisions and minimizing unnecessary harm [ 40 ]. Full-text articles were used to ensure comprehensive access to information, aiding time management and thorough analysis. 2.3.1 The Philosophical Underpinning and Paradigm This study adheres to a positivist paradigm, which views research as a structured, objective, and methodical process that uses numerical data to gather knowledge, and gives rise to a quantitative study approach [ 41 ]. Nonetheless, the quantitative research approach was chosen for this study because it emphasises numbers and figures in data collection and analysis while conserving time and resources, resulting in scientific research [ 42 ]. 2.4 Data Synthesis The data synthesised in a systematic review are the results (or outcomes) gathered from individual research studies relevant to the topic posed by the systematic review [ 43 ]. A narrative synthesis for quantitative studies was used to address the research questions in this systematic review as it helps to organise, describe, explore, and interpret study findings and address the research questions in this study [ 44 ]. Moreover, this research used the PICO framework to define and clarify the study topics. The PICO method is used in evidence-based practice to pose and answer a clinical issue regarding the unique patient's situation, which aids in finding clinically relevant information in the literature [ 45 ]. PICO is made up of the letters P for patient or population, I for intervention or indicator, C for comparison or control, and O for \"outcome,\" which stands for clinical outcome, result, or, lastly, the reaction that is predicted to be found in scientific information sources [ 45 ]Please refer to Table 1 below for more information. Table 1 table showing PICO framework. Population Children in the USA Intervention Physical Activity and Diet Comparator Children with no intervention or usual care Outcome Impact on BMI 2.7 Data extraction In a systematic review, data extraction obtains significant study characteristics in an organised and standardised format based on journal articles and reports [ 46 ]. It is a prerequisite for evaluating the risk of bias in individual research and synthesising their results [ 46 ]. Data extraction forms connect systematic reviews with primary research and serve as the basis for evaluating, summarising, and interpreting a body of evidence [ 47 ]. Therefore, ensures some uniformity in the data extraction process [ 85 ] Relevant information from the selected studies was extracted and summarised using Table 2. The PICO framework guides the result section [ 46 ] 2.8 Quality assessment Evaluation of methodological quality (bias risk) is crucial before study usage [ 47 ]. The validity of the systematic review's findings depends on the methodological quality of the individual studies included in the review (Negarande and Beykmirza, 2020). Therefore, precisely identifying the study type is the priority, and selecting the appropriate instrument is also essential [ 47 ]. The Critical Appraisal Skills Programme (CASP) Checklist is the most widely used instrument for a comprehensive appraisal [ 49 ].The CASP Checklist for RCT was used to assess the quality of the included articles, which consisted of thirteen questions that could assist in understanding the study [ 49 ]. The Checklist used “yes”, “no”, or “can’t tell” to answer most of the questions on the selected paper. Moreover, the study rated the quality of the paper using “High quality”, “Medium quality”, or “Low quality” after considering the cumulative results of the answered question. RESULTS 3.1 Results of the search The database searches in PubMed, MEDLINE, and Child Development & Adolescent Studies found 6,704 studies, with 5,812 in PubMed, 845 in MEDLINE, and 47 in CDAS utilising specified combinations of MeSH words, Boolean operators, and Truncation. After removing 6,267 irrelevant titles from databases, 437 remained due to the application of exclusion restrictions (research published between 2016 and 2022, study written in English, full text, RCT, scholarly peer-reviewed) on the databases. Three hundred ninety were deleted during the screening stage due to duplicates and publications that did not match inclusion criteria based on title and abstract. Following a critical evaluation of the remaining 47 papers, 37 were eliminated because they did not match the eligibility criteria, and only ten were included in this systematic review and processed for data extraction. The outcomes were summarised in Fig. 1 . PRISMA flow diagram adapted from Webber-Ritchey et al. [ 50 ] Table 2. in supplementary section, summarises the features of the included studies and the main findings, including the following items: author, year, study design, aims/objective, population, settings, country, intervention duration, description of interventions/theories or models used, primary outcome/measures, and main findings. For the quality evaluation results using the CASP quality assessment checklist, the quality of all ten included studies [51,52; 53, 54, 55, 56, 57, 58, 59, 60] was medium quality as they could not answer over six to seven out of thirteen pertinent questions on the CASP checklist as can be seen on table 3 in supplementary section. 3.2 Study characteristics All the ten included studies were all cluster RCTs. The aim/objectives of the studies were to prevent or reduce childhood obesity by measuring the BMI, which involved diet and physical activity lifestyle modification and was delivered using education, counselling, or motivation as well as practical sessions. Only one study included practical cooking and eating sessions [ 53 ]. Out of the ten studies, two were published in 2016 [ 59 , 60 ], two in 2017 [ 52 , 53 ] two in 2018 [ 55 , 56 ] one in 2019 [ 58 ] another in 2020 [ 54 ]. and 2021 [ 54 ]. On the duration of the intervention, four of the studies [ 55 , 56 , 53 , 51 ] lasted for one year, while others spread across three years [ 58 ] two years [ 52 ], eight months (Pbert et al., 2016), seven months [ 54 ], Six-month with three years of follow-up [ 57 ] and five-week with two years follow-up [ 59 ]. In analysing the study theories/models used, most studies combined different theories/models. The most commonly used theories/models were social cognitive theory and other theories/models. The combinations include social cognitive theory and eco-developmental model [ 51 ], social cognitive theory and socio-ecological framework [ 54 ]. social cognitive theory, behavioural choice theory, and food preference theory [ 55 ]. Healthy change and system change theories were used in one study [ 58 ]. Four other studies [53; 56, 59, 60] did not specify but only described the theories/models used. The remaining two studies [52; 57] did not declare the theories/models used. 3.3 Study setting Qualified researchers and healthcare professionals conducted the studies in various settings where four were community-based [ 51 , 54 , 55 , 56 ] and another four were school-based [ 53 , 58 , 59 , 60 ] one combined school and community [ 57 ] while the last was a clinically based [ 52 ]. One of the school-based interventions had after-school physical activity sessions [ 60 ]. Nonetheless, two of the school-based interventions included training some of the students to lead the intervention sessions as well as role models to fellow students [ 59 , 53 ], while the remaining two included the teachers to lead the sessions [ 58 , 60 ]. Seven out of the ten studies include parent/guardian participation in the intervention [ 51 , 52 , 54 , 55 , 56 , 57 , 58 ], while the remaining three were strictly for children [ 53 , 59 , 60 ]. 3.4 Demographic characteristics of participants The participants are mainly children between the ages of 5 and 18 years. 14–16 [ 51 ], 8–12 [ 52 ], 11–13 [ 53 ], 7–10 [ 54 ], 5–7 [ 55 ], 8–15 [ 56 ], 6–7 [ 57 ] 10–11 [ 58 ], 12–15 [ 59 ], 14–18 [ 60 ]. All the studies were conducted among boys and girls, except one performed among females only [ 56 ]. All the studies were conducted in various parts of the USA, including rural and urban areas: Massachusetts [ 60 ], Los Angeles [ 59 ] Cleveland metropolis [ 58 ] Boston [ 56 ], Nashville, Tennessee metropolis [ 55 ], Rural Minnesota villages [ 54 ] Houston, Texas [ 53 ] Greater San Diego, California [ 52 ] Phoenix, Arizona [ 51 ] and Rural mid-south area [ 57 ]. Furthermore, most of the studies were conducted among racial/ethnic minorities. Hispanic [ 51 , 53 , 55 ]. Hispanic white, and other mixed race/ethnicity [ 52 ], White [ 54 ] Latino [ 56 , 59 ] European American and American Indian [ 57 ]. African Americans [ 58 ] Two of the studies were done specifically in low-income areas [ 59 , 58 ]. while the remaining eight articles cut across various income levels where most of the included participants are from low-income homes. 3.5 Outcome measures All the papers included measured BMI or BMI z-score or percentile as an outcome. Three of these papers included other outcome measures such as physical activity, dietary intake, waist circumference, screen time, weight-specific Quality of Life, and insulin sensitivity. The BMI was measured by calculating the weight and height using the CDC guideline. 3.6 Findings The findings showed that five papers out of the ten reported significant decreases in BMI per cent [ 51 , 52 , 53 , 57 56 ]. The specific report of the five papers is [ 51 ] which recorded a significant reduction in BMI percentage (P0.001). According to Boutelle et al. [ 52 ], Parenting and Family-based treatment weight loss in children was 0.25 BMI z scores. It were non-inferior to each other with a mean difference in child weight reduction of 0.001 (95% confidence interval, 0.06 to 0.06). Students in the condition with a companion exhibited a higher decline in zBMI following the 6-month intervention (F = 6.94, P = .01) than students in the condition without a companion, according to Arlinghaus et al. [ 53 ]. Furthermore, children who received the companion intervention had improved long-term outcomes (F = 7.65, P = .01). According to Topham et al. [ 57 ], children with obesity who received the Family Lifestyle + Family Dynamics + Peer Group intervention had lower BMI growth in both raw BMI (B = 0.05) and BMI-M per cent (B = 2.36) when compared to controls. Bowen et al. [ 56 ] discovered a substantial change in body mass index (BMI) (p's.05). The remaining five reported no significant intervention effects on BMI [ 54 , 55 , 58 , 59 ]. Out of the five, one recorded a promising reduction in boys' per cent body fat (2.1, 95 per cent CI [4.84, 0.63] [ 54 ].Of the ten studies, three included more findings: a decrease in body fat percentage, improvements in weight-specific Quality of Life, body fat percentage, waist circumference, and insulin sensitivity [ 51 ], a significant modification in eating and physical activity [ 56 ] and no difference in nutrition, and physical activity [ 58 ]. DISCUSSION This study aimed to assess existing physical activity and dietary strategies in the United States for preventing childhood obesity among children between the ages of 5 and 18. This review primarily focused on behavioural (physical activity and diet) modification, a coordinated series of actions to alter particular behaviour patterns [ 60 ]. Beattie's personal counselling and health persuasive strategies facilitate individual transformation. These therapies are client-centred, emphasise personal development, and are administered by trained professionals [ 61 ]. Physical activity and a healthy, well-balanced diet are crucial for preventing obesity [ 62 ]. The World Health Organization's Global Strategy on Diet, Physical Activity, and Health advocates for global, regional, and local efforts to improve diets and boost physical activity [ 63 ]. In addressing the second question of this review, the intervention was delivered by persuading, educating, motivating, or counselling through role modelling or goal setting in which 50% of the studies showed substantial changes in the outcomes of children's BMI while the remaining half did not, implying that a combination of physical activity and food intervention can improve children's body weight. This is consistent with Godoy-Cumillaf et al. [ 64 ] comprehensive review and meta-analysis, which found that physical activity combined with dietary treatments reduced BMI. However, despite public health and healthcare initiatives to enhance physical activity and modify food among people with obesity, insufficient progress has been made in lessening the burden of this condition [ 65 ]. This may result from limited public support for efforts that alter the environment to combat obesity [ 66 ]. The Capability, Opportunity, and Motivation model of Behaviour (COM-B) suggests that interactions between capability, opportunity, and motivation result in the performance of behaviour, which in turn influences those three components [ 67 ]. Large-scale adjustments to the physical and fiscal environments that encourage better food consumption and more physical activity would help reduce the health and economic burden of obesity [ 66 ]. Treatment of childhood obesity is quite challenging [ 68 ]. Moreover, parents significantly impact their children's dietary and physical activity habits, which affects the likelihood of childhood obesity [ 34 ] Seventy per cent of the selected studies involved parents/guardians as part of the intervention participants, which may account for some of the successes observed in half of the studies included. Given their relationship links and shared home environment, parents are among the most important sources of social impact on children's weight status and weight-related behaviours [ 69 ]. Parental influences on child behaviour include food shopping and meal preparation decisions, parenting style, knowledge, attitudes, and behaviours about nutrition, physical activity, and health [ 34 ]. For instance, parents might monitor their children's consumption to encourage the adoption of healthier dietary choices, such as increased fruit and vegetable consumption [ 69 ]. Nonetheless, parent modelling conveys norms and expectations to follow, creates the ability to engage in healthy activities, and contributes to an atmosphere that supports healthy decisions [ 69 ]. The findings of a systematic review conducted by Flynn et al. [ 71 ] indicate that home-based and family-based interventions were beneficial in avoiding childhood obesity. Therefore, to improve the impact of interventions on children’s obesity and related issues, it is advisable to include parental participation. The studies were conducted in two different settings: school-based and community-based. This is in line with the survey by Tomayko et al. [ 34 ] which states that most children spend considerable time in non-home settings, such as daycare, preschool, and/or school. Empirical evidence shows that the school environment is appropriate for addressing change in obesity-related behaviours because it provides concentrated contact, health education, and meals and can serve as a model for health-promoting settings [ 71 ]. Also, school-based interventions can reach all students, regardless of socioeconomic position, allowing access to those who may benefit the most and overcoming health disparities [ 71 ]. In contrast, Narzisi and Simons [ 72 ] argue that interventions could lose effectiveness over the summer. Moreover, community-based initiatives can help youngsters increase their physical activity and nutritional intake [ 73 ]. However, numerous challenges and problems might be associated with building community capacity and incorporating community leaders, stakeholders, community agencies, and city organisations [ 74 ]. Therefore, more effort should be made to engage stakeholders and policymakers to improve community-based interventions continuously. In addressing question three of this review, the studies were conducted across urban and rural areas where most participants were from racial/ethnic minorities. Hispanic led, followed by Latinos, African-Americans, European, and Indian-Americans. Two studies were conducted explicitly within the low-income area. At the same time, the remaining eight papers cover a range of income levels, with most participants coming from low-income households. Correspondingly, multiple socio-ecological factors place ethnically diverse children of low socioeconomic status at a higher risk of being overweight or obese, which is aggravated by inadequate access to health care that can prevent excess weight gain and its consequences [ 74 ] Obesity is still a severe public health issue that disproportionately affects children of colour [ 75 ]. Concurrently, it disproportionately affects those living in poverty and those with a lower socioeconomic standing, as well as African Americans and Hispanics [ 76 ]. Most articles featured interventions that lasted one year or less, with individuals participating for the entire time. Unfortunately, the BMI of school-age children is rapidly altering in tandem with their development, especially throughout preadolescence [ 50 ]. When trials are shorter, establishing intervention effectiveness with child outcomes such as improved BMI might be difficult [ 50 ]. The articles used estimated BMI values such as z-scores and percentiles to account for rapid and non-linear development over time. According to a study by Mei et al. [ 77 ] interventions in preschool and elementary school-aged children were associated with a substantial reduction in obesity risk following a long-term follow-up. Therefore, public health researchers need to consider developing long-term childhood obesity interventions. Numerous conceptual models are available to explain potential interactions and individual variables that lead to obesogenic behaviours and the development of childhood obesity, as well as objectives for changing health behaviours and routines [ 74 ]. Theory-based interventions to change health behaviours may be more effective than non-theory-based interventions [ 50 ]. Social cognitive theory was the most often utilised theory in the studies. This agrees with a study by Bagherniya et al. [ 78 ], which acknowledges that one of the most often used theories for developing nutrition education and physical activity programmes, particularly for obesity prevention in children and adolescents, is social cognitive theory. Social cognitive theory provides a comprehensive framework for investigating behavioural drivers, possible mediators, and behavioural change processes [ 78 ]. Environment, behavioural capacity, self-control, observational learning, reinforcement, and self-efficacy are some of the components of the theory [ 79 ]. Self-efficacy is considered a primary driver of action and a mediator and prerequisite for behaviour change [ 78 ]. 4.1 Implications of the research for public health practice The systematic review showed that the current lifestyle intervention combining physical activity and dietary education can positively influence weight-related outcomes and BMI among children aged 5 to 18 years old. These interventions may not have achieved optimal success because individual risk variables for childhood obesity, such as nutrition consumption and physical activity levels, address just a portion of the problem [ 80 ]. It is essential to consider the availability of nutritious food and community services, the safety of the neighbourhood, and the dynamics of the family [ 21 ].In other words, rigorous multi-pronged interventions are required to minimise the numerous causes linked with excess weight gain in children [ 54 ]. The analysis of this study found that children of racial/ethnic minority and poor socioeconomic status are more prone to overweight/obesity in the USA. Obesity is mainly driven by an unhealthy lifestyle, which includes an increase in energy-dense foods, increased screen time, decreased physical activity, and less sleep. In addition to an unhealthy lifestyle, demographic factors such as socioeconomic level and ethnicity play an essential role in the genesis of childhood obesity. This suggests that culture and socioeconomic position should be taken into account when designing lifestyle interventions for racial/ethnic minorities and children with low socioeconomic levels. The prevalence of childhood obesity is most significant in metropolitan areas, among minorities, and in low-income homes. These trends show that several contributory elements are at play, the most important of which is income level [ 65 ]. Childhood obesity is linked to a variety of socioeconomic issues, including poverty and education [ 80 ]. In other words, adherence to obesity prevention initiatives among children and families heavily depends on socioeconomic circumstances [ 6 ]. Studies have shown that obesity prevention has had mixed results due to a misalignment of individual behaviour focus against a disease with complex and multiple causes [ 18 ]. According to Nobles et al. [ 81 ], therapies tested through RCTs have focused on downstream, individualistic drivers of obesity during the last 25 years, despite a step change in our understanding of its complex aetiology. This implies that RCT studies should focus more on systemic interventions such as policy and socioeconomic interventions. However, this complexity has recently spurred public health practitioners and researchers to experiment with systems science methodologies, shifting the focus away from individual behaviour modification and toward community, environmental, and policy interventions [ 18 ]. Furthermore, it is strongly advised that food quality standards and governmental regulations be established to promote healthy lifestyle practices [ 6 ]. Successful interventions may also involve culturally sensitive instruction for caregivers and children and financial assistance to purchase nutritious foods [ 82 ]. There is no singular, correct, or universal theoretical framework for each given field of study. In a complicated endeavour like obesity prevention, various theoretical frameworks are likely to be required to guide interventions and interpretation of the results [ 83 ]. From the elements of the intervention model, Beattie's approach provides four paradigms, from authoritative top-down and expert-led to negotiated bottom-up and individual liberty [ 61 ]. Beattie's four health promotion tactics include health persuasion, legislative action, personal counselling, and community development. To cope with this multifaceted and complicated disease, all stakeholders should play an active role in helping and empowering children and families [ 6 ]. Nonetheless, national policies provide several benefits. However, they can be challenging to implement in large and diverse countries such as the United States [ 84 ]. Health protection accords with Beattie's concept regarding legislative action, which are professionally directed programmes focused on protecting communities. One example is lobbying for stricter food labelling requirements [ 61 ]. Furthermore, future research and efforts to enhance public health practice ought to focus on conducting more primary research on the various community, environmental, policy, and socioeconomic interventions. 4.2 Strengths and Limitations This study has various strengths, including using a standardised reporting format (PRISMA 2020 guidelines [ 50 ]), which helps eliminate variations and aid in information synthesis in future reviews. The data were analysed using RCTs research design papers, which are prospective studies that examine the efficacy of a new intervention or treatment, decreasing bias and providing a rigorous technique for evaluating cause-effect relationships between an intervention and outcome. The peer-reviewed scholarly publication was employed as it efficiently exposes an author's work to the evaluation of other experts in the subject. The study looked at current physical activity and dietary methods in the United States for preventing childhood obesity in children aged 5 to 18. It can be challenging to perform systematic reviews evaluating the effectiveness of complex health interventions [ 85 ].Several flaws must also be acknowledged. To begin with, just one researcher did the review, which is insufficient to decrease the danger of bias in the review process. The topic was changed several times due to the challenges faced in finding sufficient primary research articles (for the previous topic), which may not have allowed the researcher enough time to search and analyse more articles. 4.3 Recommendations Considering the analysis and findings from this study, it recommends that future studies concentrate on conducting more primary research on the numerous community, environmental, policy, and socioeconomic interventions that improve public health practice. Furthermore, in urban design, an environment should be created that considers public health and the danger of obesity by including walking and cycling trails, sports halls, play places, and public transportation routes. Concurrently, the US government should fund more community-based research to investigate the influence of modifications to the built environment on physical activity levels in relevant communities and populations. Also, the Department of Health and Human Services should create, administer, and assess long-term national multimedia and public relations campaigns aimed at preventing childhood obesity, especially among racial/ethnic minorities and children of low socioeconomic status. Additionally, as earlier stated, obesity interventions in children’s settings should be structured so that parents/guardians can participate as role models. Nutrition labelling should be simple and easy to understand so parents and children can make informed product comparisons and selections to achieve and maintain energy balance at a healthy weight. CONCLUSION AND REFERENCES 5.1 Conclusion The systematic review found that childhood obesity is still prevalent in the United States, particularly among racial/ethnic minorities and low-income groups, and will continue to increase if not appropriately handled. Also, the study emphasises that the current behavioural interventions, which combine physical activity and dietary education, are capable of positively influencing weight-related outcomes and BMI among children aged 5 to 18 years old in the United States but will achieve more tremendous success when an integrated multicomponent approach is used, involving several stakeholders capable of empowering both children and families to change their lifestyle and reduce potential risk factors in their environment. Because obesity is a complicated issue that necessitates a multidimensional solution, legislators, state and local organisations, corporate, school, and community leaders, childcare and healthcare professionals, and individuals must all collaborate to create an atmosphere that promotes healthy living. Nonetheless, more emphasis should be placed on systemic treatments, such as policy and socioeconomic interventions, in future RCT research. Understanding Public Health, which is about reducing unnecessary sickness, injuries, impairments, and death while promoting and optimising a healthy environment and ideal conditions for present and future generations, is one of the knowledge and skills gained during this research. Additionally, the understanding of research will be used to present data and its interpretation in a way the target audience will understand. This can be disseminated through journal publications, social media, presentations at conferences, workshops, and seminars, as well as to funders to address overall health policy, resource allocation, and the organisation, management, and provision of medical care and health systems in general. Finally, the learned skills will be utilised to assist individuals, organisations, and society in combating preventable disease, mortality, and disability by using the three main components of public health: health promotion, illness prevention, and health protection. 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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-6035753\",\"acceptedTermsAndConditions\":true,\"allowDirectSubmit\":true,\"archivedVersions\":[],\"articleType\":\"Research Article\",\"associatedPublications\":[],\"authors\":[{\"id\":418960397,\"identity\":\"e3e168f7-dc52-492f-a0b6-f3740d2ba619\",\"order_by\":0,\"name\":\"Christopher Ifunanya Chukwu\",\"email\":\"\",\"orcid\":\"\",\"institution\":\"Birmingham City University\",\"correspondingAuthor\":false,\"prefix\":\"\",\"firstName\":\"Christopher\",\"middleName\":\"Ifunanya\",\"lastName\":\"Chukwu\",\"suffix\":\"\"},{\"id\":418960401,\"identity\":\"24d17d7c-9fae-4729-9478-dee6be62e8d2\",\"order_by\":1,\"name\":\"Natalie Quinn-Walker\",\"email\":\"data:image/png;base64,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\",\"orcid\":\"\",\"institution\":\"Birmingham City University\",\"correspondingAuthor\":true,\"prefix\":\"\",\"firstName\":\"Natalie\",\"middleName\":\"\",\"lastName\":\"Quinn-Walker\",\"suffix\":\"\"},{\"id\":418960402,\"identity\":\"c7f6308f-9703-44c1-a379-ba0f327f5c97\",\"order_by\":2,\"name\":\"Adrian Smith\",\"email\":\"\",\"orcid\":\"\",\"institution\":\"University of Oxford\",\"correspondingAuthor\":false,\"prefix\":\"\",\"firstName\":\"Adrian\",\"middleName\":\"\",\"lastName\":\"Smith\",\"suffix\":\"\"}],\"badges\":[],\"createdAt\":\"2025-02-15 09:53:21\",\"currentVersionCode\":1,\"declarations\":\"\",\"doi\":\"10.21203/rs.3.rs-6035753/v1\",\"doiUrl\":\"https://doi.org/10.21203/rs.3.rs-6035753/v1\",\"draftVersion\":[],\"editorialEvents\":[],\"editorialNote\":\"\",\"failedWorkflow\":false,\"files\":[{\"id\":77681798,\"identity\":\"b2ad193d-dd28-4aa6-93d4-758156d0c834\",\"added_by\":\"auto\",\"created_at\":\"2025-03-04 08:42:16\",\"extension\":\"png\",\"order_by\":1,\"title\":\"Figure 1\",\"display\":\"\",\"copyAsset\":false,\"role\":\"figure\",\"size\":82767,\"visible\":true,\"origin\":\"\",\"legend\":\"\\u003cp\\u003e\\u003cstrong\\u003eshows the PRISMA flow diagram of search and study selection\\u003c/strong\\u003e\\u003c/p\\u003e\",\"description\":\"\",\"filename\":\"1.png\",\"url\":\"https://assets-eu.researchsquare.com/files/rs-6035753/v1/ffc35dd6af184be8a62b9ee1.png\"},{\"id\":82227952,\"identity\":\"b0490fa8-8e5b-49f1-9dcc-903b96b94344\",\"added_by\":\"auto\",\"created_at\":\"2025-05-08 05:08:46\",\"extension\":\"pdf\",\"order_by\":0,\"title\":\"\",\"display\":\"\",\"copyAsset\":false,\"role\":\"manuscript-pdf\",\"size\":1019332,\"visible\":true,\"origin\":\"\",\"legend\":\"\",\"description\":\"\",\"filename\":\"manuscript.pdf\",\"url\":\"https://assets-eu.researchsquare.com/files/rs-6035753/v1/6357c6bc-797f-4227-90a4-11c4f044efe6.pdf\"},{\"id\":77682485,\"identity\":\"737e8268-bd18-4daf-b8c0-5b4aba656d5f\",\"added_by\":\"auto\",\"created_at\":\"2025-03-04 08:50:16\",\"extension\":\"docx\",\"order_by\":0,\"title\":\"\",\"display\":\"\",\"copyAsset\":false,\"role\":\"supplement\",\"size\":23189,\"visible\":true,\"origin\":\"\",\"legend\":\"\",\"description\":\"\",\"filename\":\"SUPPLEMENTARYObesityPublication.docx\",\"url\":\"https://assets-eu.researchsquare.com/files/rs-6035753/v1/3841ed9ce4afc9448cccbb55.docx\"}],\"financialInterests\":\"No competing interests reported.\",\"formattedTitle\":\"\\u003cp\\u003eEvaluation Of Physical Activity And Diet Interventions In Preventing Childhood Obesity In The United States Of America: A Systematic Review\\u003c/p\\u003e\",\"fulltext\":[{\"header\":\"INTRODUCTION\",\"content\":\"\\u003cdiv id=\\\"Sec2\\\" class=\\\"Section2\\\"\\u003e \\u003ch2\\u003e1.1 Background\\u003c/h2\\u003e \\u003cp\\u003eObesity is a rapidly escalating global public health issue which affects more than one billion people worldwide [\\u003cspan citationid=\\\"CR1\\\" class=\\\"CitationRef\\\"\\u003e1\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR2\\\" class=\\\"CitationRef\\\"\\u003e2\\u003c/span\\u003e]. Therefore, prevention of childhood obesity has become a global priority [\\u003cspan citationid=\\\"CR3\\\" class=\\\"CitationRef\\\"\\u003e3\\u003c/span\\u003e]. Obesity is a leading cause of disability worldwide, and it has been linked to an increase in all-cause mortality [\\u003cspan citationid=\\\"CR4\\\" class=\\\"CitationRef\\\"\\u003e4\\u003c/span\\u003e]. Obesity, undernourishment, and climate change are three interconnected pandemics that together form what is known as the global syndemic. This is because they comprise a synergy of epidemics, as they co-occur in time and location, interact with one another to produce complicated sequelae, and share shared underlying socioeconomic factors [\\u003cspan citationid=\\\"CR5\\\" class=\\\"CitationRef\\\"\\u003e5\\u003c/span\\u003e]. Globally, the number of obese children has more than tenfold increased: from 5 and 6\\u0026nbsp;million in 1975 to 50 and 74\\u0026nbsp;million in 2016 [\\u003cspan citationid=\\\"CR6\\\" class=\\\"CitationRef\\\"\\u003e6\\u003c/span\\u003e]. Also, in 2022, more than 390\\u0026nbsp;million children and adolescents aged 5\\u0026ndash;19 were overweight. The rate of overweight and obesity in this age group has increased dramatically, from just 8% in 1990 to 20% by 2022. This rise has been seen in both boys and girls, with 21% and 19% classified as overweight respectively [\\u003cspan citationid=\\\"CR2\\\" class=\\\"CitationRef\\\"\\u003e2\\u003c/span\\u003e]. As a result, if current trends continue, obesity is expected to affect 25% of all children under the age of 16 by the end of 2050 [\\u003cspan citationid=\\\"CR6\\\" class=\\\"CitationRef\\\"\\u003e6\\u003c/span\\u003e]. In Europe, more than 20% of children are overweight or obese, with a lower prevalence rate in Sub-Saharan African and Asian countries [\\u003cspan citationid=\\\"CR7\\\" class=\\\"CitationRef\\\"\\u003e7\\u003c/span\\u003e]. A quarter of youngsters in the United Kingdom are overweight or obese by the age of five [\\u003cspan citationid=\\\"CR8\\\" class=\\\"CitationRef\\\"\\u003e8\\u003c/span\\u003e]. More specifically, in the United States, one-third of children and adolescents are classed as overweight or obese [\\u003cspan citationid=\\\"CR9\\\" class=\\\"CitationRef\\\"\\u003e9\\u003c/span\\u003e] affecting 18.5 percent of all children aged 2 to 19 [\\u003cspan citationid=\\\"CR10\\\" class=\\\"CitationRef\\\"\\u003e10\\u003c/span\\u003e]. Moreover, according to data from the National Survey of Children's Health, 17.0% of children aged 10 to 17 were obese in 2021\\u0026ndash;2022 [\\u003cspan citationid=\\\"CR11\\\" class=\\\"CitationRef\\\"\\u003e11\\u003c/span\\u003e]. Unfortunately, there are large variations among race, ethnicity, and household income. Obesity rates were significantly higher among Hispanic (22.7%), non-Hispanic Black (22.0%), non-Hispanic American Indian/Alaska Native (21.4%) youngsters as well as children with the lowest income (24.1%) [\\u003cspan citationid=\\\"CR11\\\" class=\\\"CitationRef\\\"\\u003e11\\u003c/span\\u003e].\\u003c/p\\u003e \\u003cp\\u003eSocial determinants of health (SDH) are the circumstances in which people are born, grow, work, live, and age, as well as the more extensive collection of factors and institutions that shape daily life conditions [\\u003cspan citationid=\\\"CR12\\\" class=\\\"CitationRef\\\"\\u003e12\\u003c/span\\u003e]. Moreover, SDH differences affect chronic disease outcomes and hazards, including obesity, across racial, ethnic, and socioeconomic groups, as well as across geographies and physical capacities [\\u003cspan citationid=\\\"CR13\\\" class=\\\"CitationRef\\\"\\u003e13\\u003c/span\\u003e]. Obesity is associated with the lower socioeconomic position in high-income countries, however, in other poor countries, the opposite is true, with children from relatively affluent homes being more sensitive to obesity [\\u003cspan citationid=\\\"CR14\\\" class=\\\"CitationRef\\\"\\u003e14\\u003c/span\\u003e].\\u003c/p\\u003e \\u003cp\\u003eThe primary cause of overweight and obesity is an energy imbalance between the energy consumed and the amount exerted [\\u003cspan citationid=\\\"CR15\\\" class=\\\"CitationRef\\\"\\u003e15\\u003c/span\\u003e]. Genetic and environmental factors can cause weight gain; nevertheless, obesogenic variables, or risk factors for childhood obesity, include behavioural, ecological and economic factors [\\u003cspan citationid=\\\"CR10\\\" class=\\\"CitationRef\\\"\\u003e10\\u003c/span\\u003e]. An obesogenic environment as promoting an individual's excessive calorie consumption and sedentary behaviour [\\u003cspan citationid=\\\"CR16\\\" class=\\\"CitationRef\\\"\\u003e16\\u003c/span\\u003e]. Sedentism and high consumption of energy-dense foods and sugar-containing beverages are behavioural causes [\\u003cspan citationid=\\\"CR10\\\" class=\\\"CitationRef\\\"\\u003e10\\u003c/span\\u003e]. Environmental influences include a lack of physical activity and/or inadequate food options [\\u003cspan citationid=\\\"CR10\\\" class=\\\"CitationRef\\\"\\u003e10\\u003c/span\\u003e]. While economic factors include energy-dense foods offered in huge portions that are less expensive and more readily available than fresh food [\\u003cspan citationid=\\\"CR10\\\" class=\\\"CitationRef\\\"\\u003e10\\u003c/span\\u003e]. Subsequently, studies looking into the causes of the rise in obesity prevalence have discovered a strong link between obesity and urbanisation, as well as obesity and physical activity, and chronic diseases [\\u003cspan citationid=\\\"CR16\\\" class=\\\"CitationRef\\\"\\u003e16\\u003c/span\\u003e].\\u003c/p\\u003e \\u003cp\\u003eObesity is a direct cause of morbidities in children, leading to gastrointestinal, musculoskeletal, and orthopedic issues, as well as sleep apnea, the early onset of cardiovascular disease, and type 2 diabetes. It is also associated with various noncommunicable diseases (NCDs) and their related comorbidities [\\u003cspan citationid=\\\"CR6\\\" class=\\\"CitationRef\\\"\\u003e6\\u003c/span\\u003e]. Obesity, on the other hand, can have serious effects on a child's physical and mental health that can endure into adulthood [\\u003cspan citationid=\\\"CR17\\\" class=\\\"CitationRef\\\"\\u003e17\\u003c/span\\u003e]. The United Nations' Sustainable Development Goals, established in 2015, also prioritise preventing and controlling NCDs, including obesity [\\u003cspan citationid=\\\"CR18\\\" class=\\\"CitationRef\\\"\\u003e18\\u003c/span\\u003e].\\u003c/p\\u003e \\u003c/div\\u003e \\u003cdiv id=\\\"Sec3\\\" class=\\\"Section2\\\"\\u003e \\u003ch2\\u003e1.2 Defining the Research Questions and Relevance of Study:\\u003c/h2\\u003e \\u003cp\\u003eObesity was proclaimed a global epidemic by the WHO in 2002, and the Organization for Economic Cooperation and Development (OECD) named it the greatest threat to the Western world [\\u003cspan citationid=\\\"CR19\\\" class=\\\"CitationRef\\\"\\u003e19\\u003c/span\\u003e]. Childhood obesity has reached epidemic proportions in the United States, affecting millions of individuals [\\u003cspan citationid=\\\"CR20\\\" class=\\\"CitationRef\\\"\\u003e20\\u003c/span\\u003e]. According to Ahmad et al, 80 percent of children aged 10 to 14 years, 25 percent of toddlers under the age of 5, and 50 percent of children aged 6 to 9 years who are obese are at risk of becoming obese adults [\\u003cspan citationid=\\\"CR20\\\" class=\\\"CitationRef\\\"\\u003e20\\u003c/span\\u003e]. Unfortunately, the United States has the highest obesity rates in the world among OECD countries [\\u003cspan citationid=\\\"CR21\\\" class=\\\"CitationRef\\\"\\u003e21\\u003c/span\\u003e]. In an examination of the prevalence of childhood obesity in the United States from 1996 to 2016, there was no evidence of a reduction in any age group [\\u003cspan citationid=\\\"CR21\\\" class=\\\"CitationRef\\\"\\u003e21\\u003c/span\\u003e]. Rapid urbanisation in the United States is responsible for considerable changes in food habits and physical activity levels, which tend to raise the risk of childhood obesity [\\u003cspan citationid=\\\"CR16\\\" class=\\\"CitationRef\\\"\\u003e16\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR22\\\" class=\\\"CitationRef\\\"\\u003e22\\u003c/span\\u003e]. In other words, these have led to an increase in the consumption of high-calorie foods, an increase in the use of passive modes of transportation, a decrease in the amount of open space, an increase in the consumption of mass media, and a reduction in the amount of work that requires physical activity.. Furthermore, inequality in childhood obesity exists in the United States, where prevalence is disproportionately higher among racial and/or ethnic minority children compared to their white peers [\\u003cspan citationid=\\\"CR23\\\" class=\\\"CitationRef\\\"\\u003e23\\u003c/span\\u003e]. In 2019, one in seven children (10.7\\u0026nbsp;million) were food insecure, living in households without enough food. These families struggled to afford healthy meals, often relying on low-cost food, skipping meals, or going hungry [\\u003cspan citationid=\\\"CR24\\\" class=\\\"CitationRef\\\"\\u003e24\\u003c/span\\u003e]. Following that, COVID-19 has increased the underlying deficiencies in federal nutrition support, leaving children without consistent access to healthy meals all year [\\u003cspan citationid=\\\"CR24\\\" class=\\\"CitationRef\\\"\\u003e24\\u003c/span\\u003e]. A study of 432,302 children aged 2 to 19 years discovered that the rate of BMI gains virtually doubled during the COVID-19 pandemic when compared to a pre-pandemic period [\\u003cspan citationid=\\\"CR13\\\" class=\\\"CitationRef\\\"\\u003e13\\u003c/span\\u003e].\\u003c/p\\u003e \\u003cp\\u003eCurrent national policies to treat the obesity pandemic in America include nutrition assistance policies, consumer information policies, nutrition facts, school and early childhood policies, physical education, coverage, and prevention policies [\\u003cspan citationid=\\\"CR21\\\" class=\\\"CitationRef\\\"\\u003e21\\u003c/span\\u003e]. While national policies provide various benefits, they can be challenging to implement in vast and varied nations such as the United States [\\u003cspan citationid=\\\"CR84\\\" class=\\\"CitationRef\\\"\\u003e84\\u003c/span\\u003e]. The solutions are helpful but require more work, especially among low-income families [\\u003cspan citationid=\\\"CR21\\\" class=\\\"CitationRef\\\"\\u003e21\\u003c/span\\u003e].\\u003c/p\\u003e \\u003cp\\u003eThe Ottawa Charter outlines four key action areas for health promotion: developing personal skills by enhancing knowledge, behaviors, and beliefs; strengthening community action through environmental and setting-based approaches; reorienting health services to prioritize health promotion; and creating supportive environments and public policies that foster health across sectors [\\u003cspan citationid=\\\"CR14\\\" class=\\\"CitationRef\\\"\\u003e14\\u003c/span\\u003e]. Evidently, multicomponent therapies incorporating nutrition education, physical activity, behaviour change, and parenting practises that target more than one energy balance-related behaviour are considered best practices [\\u003cspan citationid=\\\"CR27\\\" class=\\\"CitationRef\\\"\\u003e27\\u003c/span\\u003e]. Evidence suggests that it is critical to begin intervention and prevention initiatives at a young ag [\\u003cspan citationid=\\\"CR25\\\" class=\\\"CitationRef\\\"\\u003e25\\u003c/span\\u003e]. The World Health Organization has emphrasised the necessity of encouraging the use of healthy foods and physical activity [\\u003cspan citationid=\\\"CR21\\\" class=\\\"CitationRef\\\"\\u003e21\\u003c/span\\u003e]\\u003c/p\\u003e \\u003cp\\u003eThis study is essential as childhood obesity is a growing concern in developed countries, prompting governments to take preventive measures [\\u003cspan citationid=\\\"CR21\\\" class=\\\"CitationRef\\\"\\u003e21\\u003c/span\\u003e]. With limited systematic reviews on lifestyle modifications targeting childhood obesity in the U.S., this review focuses on interventions combining diet and physical activity, given their bidirectional influence on obesity [26;27]. It aims to provide updated evidence from randomized control trials (RCTs) to support decision-makers in planning and resource allocation.\\u003c/p\\u003e \\u003c/div\\u003e\\n\\u003ch3\\u003e1.2.1 Aim and Objectives\\u003c/h3\\u003e\\n\\u003cp\\u003eThe aim of this study is to evaluate current physical activity and diet interventions in preventing childhood obesity in the USA. The research question is \\u003cb\\u003ewhat current physical activity and diet interventions exist to prevent childhood obesity in the USA?\\u003c/b\\u003e\\u003c/p\\u003e \\u003cp\\u003eThe specific objectives are:\\u003c/p\\u003e \\u003cp\\u003e \\u003col\\u003e \\u003cspan\\u003e \\u003cli\\u003e \\u003cp\\u003eTo critically assess current information on childhood obesity in the USA\\u003c/p\\u003e \\u003c/li\\u003e \\u003c/span\\u003e \\u003cspan\\u003e \\u003cli\\u003e \\u003cp\\u003eTo critically access the combined effects of dietary education and physical activity interventions versus control on changes in BMI among children between 5 and 18 years old\\u003c/p\\u003e \\u003c/li\\u003e \\u003c/span\\u003e \\u003cspan\\u003e \\u003cli\\u003e \\u003cp\\u003eTo critically evaluate the sociodemographic characteristics of participants of the interventions\\u003c/p\\u003e \\u003c/li\\u003e \\u003c/span\\u003e \\u003c/ol\\u003e \\u003c/p\\u003e \\u003cp\\u003eThe corresponding questions are:\\u003c/p\\u003e \\u003cp\\u003e \\u003col\\u003e \\u003cspan\\u003e \\u003cli\\u003e \\u003cp\\u003eWhat is the current information on childhood obesity in the USA?\\u003c/p\\u003e \\u003c/li\\u003e \\u003c/span\\u003e \\u003cspan\\u003e \\u003cli\\u003e \\u003cp\\u003eWhat are the combined effects of dietary education and physical activity interventions versus control on changes in BMI among children between 5 and 18 years old?\\u003c/p\\u003e \\u003c/li\\u003e \\u003c/span\\u003e \\u003cspan\\u003e \\u003cli\\u003e \\u003cp\\u003eWhat are the sociodemographic characteristics of participants of the interventions?\\u003c/p\\u003e \\u003c/li\\u003e \\u003c/span\\u003e \\u003c/ol\\u003e \\u003c/p\\u003e\"},{\"header\":\"METHODOLOGY\",\"content\":\"\\u003cdiv id=\\\"Sec6\\\" class=\\\"Section2\\\"\\u003e \\u003ch2\\u003e2.1 Search strategy and selection criteria\\u003c/h2\\u003e \\u003cp\\u003eThis systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines [\\u003cspan citationid=\\\"CR28\\\" class=\\\"CitationRef\\\"\\u003e28\\u003c/span\\u003e]. The electronic library of Birmingham City University (BCU) was used to systematically search three databases: MEDLINE, CDAS, and PubMed. The search focused on relevant articles published in English from 2016 up to July 31, 2022. Boolean operators, truncation, and Medical Subject Headings (MeSH) were applied to identify the most relevant keywords for the study. The following terms were used in combination: (Child) OR (Adolescent) AND (Obesity) AND (Exercise) AND (Diet). The three databases were selected for their unique strengths. PubMed, a widely accessible interface for MEDLINE and other National Library of Medicine (NLM) resources, is a leading repository for biomedical literature [\\u003cspan citationid=\\\"CR29\\\" class=\\\"CitationRef\\\"\\u003e29\\u003c/span\\u003e]. MEDLINE, NLM's main bibliographic database, contains over 29\\u0026nbsp;million life sciences references, with records indexed using MeSH (Dunn et al., 2017). CDAS, specializing in child development and growth up to age 21, automatically includes child and adolescent terms in its searches [\\u003cspan citationid=\\\"CR30\\\" class=\\\"CitationRef\\\"\\u003e30\\u003c/span\\u003e].\\u003c/p\\u003e \\u003cp\\u003eOne author conducted the database search, titles, abstracts, and full-text screening and review as part of BCU's Master of Public Health programme [\\u003cspan citationid=\\\"CR31\\\" class=\\\"CitationRef\\\"\\u003e31\\u003c/span\\u003e].\\u003c/p\\u003e \\u003ch2\\u003e 2.2 Ethical Approval and Informed Consent\\u003c/b\\u003e \\u003c/h2\\u003e\\u003cp\\u003eThis systematic study did not require ethics approval or informed consent because it used publicly available records as evidence and is rarely required to obtain institutional ethics permission before proceeding [\\u003cspan citationid=\\\"CR31\\\" class=\\\"CitationRef\\\"\\u003e31\\u003c/span\\u003e].\\u003c/p\\u003e \\u003c/div\\u003e\\n\\u003ch3\\u003e2.3 Study eligibility and rationale\\u003c/h3\\u003e\\n\\u003cp\\u003eArticles published only in English up to July 25, 2022, were included. Research has shown that combined diet and activity interventions result in more significant weight loss than diet or physical activity alone [\\u003cspan citationid=\\\"CR33\\\" class=\\\"CitationRef\\\"\\u003e33\\u003c/span\\u003e].. The study included RCTs of combined nutrition and physical activity interventions with BMI as an outcome measure and can be delivered through education, counseling, or motivation. This is because health education counseling, or motivation is connected with increased physical activity and improved eating, which can benefit obesity-reduction measures [\\u003cspan citationid=\\\"CR21\\\" class=\\\"CitationRef\\\"\\u003e21\\u003c/span\\u003e]. Interventions may also have included other elements such as lifestyle change (e.g., changes to sedentary behaviour or sleep) and social support. This is considered because various studies link physical activity, food, screen time, and sleep with obesity [\\u003cspan citationid=\\\"CR26\\\" class=\\\"CitationRef\\\"\\u003e26\\u003c/span\\u003e]. The major participants are children but may include parents/guardians because children are under their care. Also, parents and other caregivers (guardians) substantially impact children's food, physical activity, and other health behaviours [\\u003cspan citationid=\\\"CR34\\\" class=\\\"CitationRef\\\"\\u003e34\\u003c/span\\u003e].\\u003c/p\\u003e \\u003cp\\u003eThe English language was selected as a criterion for this study due to its status as an international language and its importance in academic research for producing high-quality articles suitable for publication in reputable journals [\\u003cspan citationid=\\\"CR35\\\" class=\\\"CitationRef\\\"\\u003e35\\u003c/span\\u003e]. Peer-reviewed scholarly publications were prioritized to ensure the research underwent expert scrutiny, which promotes the production of high-quality research while maintaining integrity and credibility in scientific advancements [\\u003cspan citationid=\\\"CR36\\\" class=\\\"CitationRef\\\"\\u003e36\\u003c/span\\u003e].\\u003c/p\\u003e \\u003cp\\u003eRandomized controlled trials (RCTs) were chosen as the study design because they are prospective studies that reduce bias and provide a robust method for examining cause-and-effect relationships between interventions and outcomes. Randomization ensures that participant characteristics are balanced across groups, allowing any differences in outcomes to be attributed to the intervention [\\u003cspan citationid=\\\"CR37\\\" class=\\\"CitationRef\\\"\\u003e37\\u003c/span\\u003e]. The study included interventions from various settings, such as communities, schools, healthcare, and home care, recognizing that successful obesity treatment requires understanding complex relationships and integrating health systems and communities [\\u003cspan citationid=\\\"CR38\\\" class=\\\"CitationRef\\\"\\u003e38\\u003c/span\\u003e]\\u003c/p\\u003e \\u003cp\\u003eChildren aged 5 to 18 were the focus due to the rising trend of childhood obesity in the U.S., with risks of social, physical, and emotional challenges persisting into adulthood [\\u003cspan citationid=\\\"CR20\\\" class=\\\"CitationRef\\\"\\u003e20\\u003c/span\\u003e]. The U.S. was chosen due to its significant obesity inequality, linked to poverty, low income, and food insecurity, as well as having the highest obesity rates among OECD countries [\\u003cspan citationid=\\\"CR39\\\" class=\\\"CitationRef\\\"\\u003e39\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR21\\\" class=\\\"CitationRef\\\"\\u003e21\\u003c/span\\u003e]. The study examined research from 2015 to 2022 to provide up-to-date clinical evidence, crucial for informed policy and healthcare decisions and minimizing unnecessary harm [\\u003cspan citationid=\\\"CR40\\\" class=\\\"CitationRef\\\"\\u003e40\\u003c/span\\u003e]. Full-text articles were used to ensure comprehensive access to information, aiding time management and thorough analysis.\\u003c/p\\u003e \\u003cdiv id=\\\"Sec8\\\" class=\\\"Section2\\\"\\u003e \\u003ch2\\u003e2.3.1 The Philosophical Underpinning and Paradigm\\u003c/h2\\u003e \\u003cp\\u003eThis study adheres to a positivist paradigm, which views research as a structured, objective, and methodical process that uses numerical data to gather knowledge, and gives rise to a quantitative study approach [\\u003cspan citationid=\\\"CR41\\\" class=\\\"CitationRef\\\"\\u003e41\\u003c/span\\u003e]. Nonetheless, the quantitative research approach was chosen for this study because it emphasises numbers and figures in data collection and analysis while conserving time and resources, resulting in scientific research [\\u003cspan citationid=\\\"CR42\\\" class=\\\"CitationRef\\\"\\u003e42\\u003c/span\\u003e].\\u003c/p\\u003e \\u003c/div\\u003e\\n\\u003ch3\\u003e2.4 Data Synthesis\\u003c/h3\\u003e\\n\\u003cp\\u003eThe data synthesised in a systematic review are the results (or outcomes) gathered from individual research studies relevant to the topic posed by the systematic review [\\u003cspan citationid=\\\"CR43\\\" class=\\\"CitationRef\\\"\\u003e43\\u003c/span\\u003e]. A narrative synthesis for quantitative studies was used to address the research questions in this systematic review as it helps to organise, describe, explore, and interpret study findings and address the research questions in this study [\\u003cspan citationid=\\\"CR44\\\" class=\\\"CitationRef\\\"\\u003e44\\u003c/span\\u003e]. Moreover, this research used the PICO framework to define and clarify the study topics. The PICO method is used in evidence-based practice to pose and answer a clinical issue regarding the unique patient's situation, which aids in finding clinically relevant information in the literature [\\u003cspan citationid=\\\"CR45\\\" class=\\\"CitationRef\\\"\\u003e45\\u003c/span\\u003e]. PICO is made up of the letters P for patient or population, I for intervention or indicator, C for comparison or control, and O for \\\"outcome,\\\" which stands for clinical outcome, result, or, lastly, the reaction that is predicted to be found in scientific information sources [\\u003cspan citationid=\\\"CR45\\\" class=\\\"CitationRef\\\"\\u003e45\\u003c/span\\u003e]Please refer to Table\\u0026nbsp;\\u003cspan refid=\\\"Tab1\\\" class=\\\"InternalRef\\\"\\u003e1\\u003c/span\\u003e below for more information.\\u003c/p\\u003e \\u003cp\\u003e \\u003cdiv class=\\\"gridtable\\\"\\u003e\\u003ctable float=\\\"Yes\\\" id=\\\"Tab1\\\" border=\\\"1\\\"\\u003e \\u003ccaption language=\\\"En\\\"\\u003e \\u003cdiv class=\\\"CaptionNumber\\\"\\u003eTable 1\\u003c/div\\u003e \\u003cdiv class=\\\"CaptionContent\\\"\\u003e \\u003cp\\u003etable showing PICO framework.\\u003c/p\\u003e \\u003c/div\\u003e \\u003c/caption\\u003e \\u003ccolgroup cols=\\\"2\\\"\\u003e \\u003cdiv align=\\\"left\\\" class=\\\"colspec\\\" colname=\\\"c1\\\" colnum=\\\"1\\\"\\u003e\\u003c/div\\u003e \\u003cdiv align=\\\"left\\\" class=\\\"colspec\\\" colname=\\\"c2\\\" colnum=\\\"2\\\"\\u003e\\u003c/div\\u003e \\u003cthead\\u003e \\u003ctr\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003ePopulation\\u003c/p\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003eChildren in the USA\\u003c/p\\u003e \\u003c/th\\u003e \\u003c/tr\\u003e \\u003c/thead\\u003e \\u003ctbody\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003e\\u003cb\\u003eIntervention\\u003c/b\\u003e\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003ePhysical Activity and Diet\\u003c/p\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003e\\u003cb\\u003eComparator\\u003c/b\\u003e\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003eChildren with no intervention or usual care\\u003c/p\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003e\\u003cb\\u003eOutcome\\u003c/b\\u003e\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003eImpact on BMI\\u003c/p\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003c/tbody\\u003e \\u003c/colgroup\\u003e \\u003c/table\\u003e\\u003c/div\\u003e \\u003c/p\\u003e\\n\\u003ch3\\u003e2.7 Data extraction\\u003c/h3\\u003e\\n\\u003cp\\u003eIn a systematic review, data extraction obtains significant study characteristics in an organised and standardised format based on journal articles and reports [\\u003cspan citationid=\\\"CR46\\\" class=\\\"CitationRef\\\"\\u003e46\\u003c/span\\u003e]. It is a prerequisite for evaluating the risk of bias in individual research and synthesising their results [\\u003cspan citationid=\\\"CR46\\\" class=\\\"CitationRef\\\"\\u003e46\\u003c/span\\u003e]. Data extraction forms connect systematic reviews with primary research and serve as the basis for evaluating, summarising, and interpreting a body of evidence [\\u003cspan citationid=\\\"CR47\\\" class=\\\"CitationRef\\\"\\u003e47\\u003c/span\\u003e]. Therefore, ensures some uniformity in the data extraction process [\\u003cspan citationid=\\\"CR85\\\" class=\\\"CitationRef\\\"\\u003e85\\u003c/span\\u003e] Relevant information from the selected studies was extracted and summarised using Table\\u0026nbsp;2. The PICO framework guides the result section [\\u003cspan citationid=\\\"CR46\\\" class=\\\"CitationRef\\\"\\u003e46\\u003c/span\\u003e]\\u003c/p\\u003e \\u003cdiv id=\\\"Sec11\\\" class=\\\"Section2\\\"\\u003e \\u003ch2\\u003e2.8 Quality assessment\\u003c/h2\\u003e \\u003cp\\u003eEvaluation of methodological quality (bias risk) is crucial before study usage [\\u003cspan citationid=\\\"CR47\\\" class=\\\"CitationRef\\\"\\u003e47\\u003c/span\\u003e]. The validity of the systematic review's findings depends on the methodological quality of the individual studies included in the review (Negarande and Beykmirza, 2020). Therefore, precisely identifying the study type is the priority, and selecting the appropriate instrument is also essential [\\u003cspan citationid=\\\"CR47\\\" class=\\\"CitationRef\\\"\\u003e47\\u003c/span\\u003e]. The Critical Appraisal Skills Programme (CASP) Checklist is the most widely used instrument for a comprehensive appraisal [\\u003cspan citationid=\\\"CR49\\\" class=\\\"CitationRef\\\"\\u003e49\\u003c/span\\u003e].The CASP Checklist for RCT was used to assess the quality of the included articles, which consisted of thirteen questions that could assist in understanding the study [\\u003cspan citationid=\\\"CR49\\\" class=\\\"CitationRef\\\"\\u003e49\\u003c/span\\u003e]. The Checklist used \\u0026ldquo;yes\\u0026rdquo;, \\u0026ldquo;no\\u0026rdquo;, or \\u0026ldquo;can\\u0026rsquo;t tell\\u0026rdquo; to answer most of the questions on the selected paper. Moreover, the study rated the quality of the paper using \\u0026ldquo;High quality\\u0026rdquo;, \\u0026ldquo;Medium quality\\u0026rdquo;, or \\u0026ldquo;Low quality\\u0026rdquo; after considering the cumulative results of the answered question.\\u003c/p\\u003e \\u003c/div\\u003e\"},{\"header\":\"RESULTS\",\"content\":\"\\u003cdiv id=\\\"Sec13\\\" class=\\\"Section2\\\"\\u003e \\u003ch2\\u003e3.1 Results of the search\\u003c/h2\\u003e \\u003cp\\u003eThe database searches in PubMed, MEDLINE, and Child Development \\u0026amp; Adolescent Studies found 6,704 studies, with 5,812 in PubMed, 845 in MEDLINE, and 47 in CDAS utilising specified combinations of MeSH words, Boolean operators, and Truncation. After removing 6,267 irrelevant titles from databases, 437 remained due to the application of exclusion restrictions (research published between 2016 and 2022, study written in English, full text, RCT, scholarly peer-reviewed) on the databases. Three hundred ninety were deleted during the screening stage due to duplicates and publications that did not match inclusion criteria based on title and abstract. Following a critical evaluation of the remaining 47 papers, 37 were eliminated because they did not match the eligibility criteria, and only ten were included in this systematic review and processed for data extraction. The outcomes were summarised in Fig.\\u0026nbsp;\\u003cspan refid=\\\"Fig1\\\" class=\\\"InternalRef\\\"\\u003e1\\u003c/span\\u003e.\\u003c/p\\u003e \\u003cp\\u003e \\u003c/p\\u003e \\u003c/div\\u003e \\u003cdiv id=\\\"Sec14\\\" class=\\\"Section2\\\"\\u003e \\u003ch2\\u003ePRISMA flow diagram adapted from Webber-Ritchey et al. [\\u003cspan citationid=\\\"CR50\\\" class=\\\"CitationRef\\\"\\u003e50\\u003c/span\\u003e]\\u003c/h2\\u003e \\u003cp\\u003eTable\\u0026nbsp;2. in supplementary section, summarises the features of the included studies and the main findings, including the following items: author, year, study design, aims/objective, population, settings, country, intervention duration, description of interventions/theories or models used, primary outcome/measures, and main findings. For the quality evaluation results using the CASP quality assessment checklist, the quality of all ten included studies [51,52; 53, 54, 55, 56, 57, 58, 59, 60] was medium quality as they could not answer over six to seven out of thirteen pertinent questions on the CASP checklist as can be seen on table 3 in supplementary section.\\u003c/p\\u003e \\u003c/div\\u003e \\u003cdiv id=\\\"Sec15\\\" class=\\\"Section2\\\"\\u003e \\u003ch2\\u003e3.2 Study characteristics\\u003c/h2\\u003e \\u003cp\\u003eAll the ten included studies were all cluster RCTs. The aim/objectives of the studies were to prevent or reduce childhood obesity by measuring the BMI, which involved diet and physical activity lifestyle modification and was delivered using education, counselling, or motivation as well as practical sessions. Only one study included practical cooking and eating sessions [\\u003cspan citationid=\\\"CR53\\\" class=\\\"CitationRef\\\"\\u003e53\\u003c/span\\u003e]. Out of the ten studies, two were published in 2016 [\\u003cspan citationid=\\\"CR59\\\" class=\\\"CitationRef\\\"\\u003e59\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR60\\\" class=\\\"CitationRef\\\"\\u003e60\\u003c/span\\u003e], two in 2017 [\\u003cspan citationid=\\\"CR52\\\" class=\\\"CitationRef\\\"\\u003e52\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR53\\\" class=\\\"CitationRef\\\"\\u003e53\\u003c/span\\u003e] two in 2018 [\\u003cspan citationid=\\\"CR55\\\" class=\\\"CitationRef\\\"\\u003e55\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR56\\\" class=\\\"CitationRef\\\"\\u003e56\\u003c/span\\u003e] one in 2019 [\\u003cspan citationid=\\\"CR58\\\" class=\\\"CitationRef\\\"\\u003e58\\u003c/span\\u003e] another in 2020 [\\u003cspan citationid=\\\"CR54\\\" class=\\\"CitationRef\\\"\\u003e54\\u003c/span\\u003e]. and 2021 [\\u003cspan citationid=\\\"CR54\\\" class=\\\"CitationRef\\\"\\u003e54\\u003c/span\\u003e]. On the duration of the intervention, four of the studies [\\u003cspan citationid=\\\"CR55\\\" class=\\\"CitationRef\\\"\\u003e55\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR56\\\" class=\\\"CitationRef\\\"\\u003e56\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR53\\\" class=\\\"CitationRef\\\"\\u003e53\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR51\\\" class=\\\"CitationRef\\\"\\u003e51\\u003c/span\\u003e] lasted for one year, while others spread across three years [\\u003cspan citationid=\\\"CR58\\\" class=\\\"CitationRef\\\"\\u003e58\\u003c/span\\u003e] two years [\\u003cspan citationid=\\\"CR52\\\" class=\\\"CitationRef\\\"\\u003e52\\u003c/span\\u003e], eight months (Pbert et al., 2016), seven months [\\u003cspan citationid=\\\"CR54\\\" class=\\\"CitationRef\\\"\\u003e54\\u003c/span\\u003e], Six-month with three years of follow-up [\\u003cspan citationid=\\\"CR57\\\" class=\\\"CitationRef\\\"\\u003e57\\u003c/span\\u003e] and five-week with two years follow-up [\\u003cspan citationid=\\\"CR59\\\" class=\\\"CitationRef\\\"\\u003e59\\u003c/span\\u003e]. In analysing the study theories/models used, most studies combined different theories/models. The most commonly used theories/models were social cognitive theory and other theories/models. The combinations include social cognitive theory and eco-developmental model [\\u003cspan citationid=\\\"CR51\\\" class=\\\"CitationRef\\\"\\u003e51\\u003c/span\\u003e], social cognitive theory and socio-ecological framework [\\u003cspan citationid=\\\"CR54\\\" class=\\\"CitationRef\\\"\\u003e54\\u003c/span\\u003e]. social cognitive theory, behavioural choice theory, and food preference theory [\\u003cspan citationid=\\\"CR55\\\" class=\\\"CitationRef\\\"\\u003e55\\u003c/span\\u003e]. Healthy change and system change theories were used in one study [\\u003cspan citationid=\\\"CR58\\\" class=\\\"CitationRef\\\"\\u003e58\\u003c/span\\u003e]. Four other studies [53; 56, 59, 60] did not specify but only described the theories/models used. The remaining two studies [52; 57] did not declare the theories/models used.\\u003c/p\\u003e \\u003c/div\\u003e \\u003cdiv id=\\\"Sec16\\\" class=\\\"Section2\\\"\\u003e \\u003ch2\\u003e3.3 Study setting\\u003c/h2\\u003e \\u003cp\\u003eQualified researchers and healthcare professionals conducted the studies in various settings where four were community-based [\\u003cspan citationid=\\\"CR51\\\" class=\\\"CitationRef\\\"\\u003e51\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR54\\\" class=\\\"CitationRef\\\"\\u003e54\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR55\\\" class=\\\"CitationRef\\\"\\u003e55\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR56\\\" class=\\\"CitationRef\\\"\\u003e56\\u003c/span\\u003e] and another four were school-based [\\u003cspan citationid=\\\"CR53\\\" class=\\\"CitationRef\\\"\\u003e53\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR58\\\" class=\\\"CitationRef\\\"\\u003e58\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR59\\\" class=\\\"CitationRef\\\"\\u003e59\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR60\\\" class=\\\"CitationRef\\\"\\u003e60\\u003c/span\\u003e] one combined school and community [\\u003cspan citationid=\\\"CR57\\\" class=\\\"CitationRef\\\"\\u003e57\\u003c/span\\u003e] while the last was a clinically based [\\u003cspan citationid=\\\"CR52\\\" class=\\\"CitationRef\\\"\\u003e52\\u003c/span\\u003e]. One of the school-based interventions had after-school physical activity sessions [\\u003cspan citationid=\\\"CR60\\\" class=\\\"CitationRef\\\"\\u003e60\\u003c/span\\u003e]. Nonetheless, two of the school-based interventions included training some of the students to lead the intervention sessions as well as role models to fellow students [\\u003cspan citationid=\\\"CR59\\\" class=\\\"CitationRef\\\"\\u003e59\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR53\\\" class=\\\"CitationRef\\\"\\u003e53\\u003c/span\\u003e], while the remaining two included the teachers to lead the sessions [\\u003cspan citationid=\\\"CR58\\\" class=\\\"CitationRef\\\"\\u003e58\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR60\\\" class=\\\"CitationRef\\\"\\u003e60\\u003c/span\\u003e]. Seven out of the ten studies include parent/guardian participation in the intervention [\\u003cspan citationid=\\\"CR51\\\" class=\\\"CitationRef\\\"\\u003e51\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR52\\\" class=\\\"CitationRef\\\"\\u003e52\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR54\\\" class=\\\"CitationRef\\\"\\u003e54\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR55\\\" class=\\\"CitationRef\\\"\\u003e55\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR56\\\" class=\\\"CitationRef\\\"\\u003e56\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR57\\\" class=\\\"CitationRef\\\"\\u003e57\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR58\\\" class=\\\"CitationRef\\\"\\u003e58\\u003c/span\\u003e], while the remaining three were strictly for children [\\u003cspan citationid=\\\"CR53\\\" class=\\\"CitationRef\\\"\\u003e53\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR59\\\" class=\\\"CitationRef\\\"\\u003e59\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR60\\\" class=\\\"CitationRef\\\"\\u003e60\\u003c/span\\u003e].\\u003c/p\\u003e \\u003c/div\\u003e \\u003cdiv id=\\\"Sec17\\\" class=\\\"Section2\\\"\\u003e \\u003ch2\\u003e3.4 Demographic characteristics of participants\\u003c/h2\\u003e \\u003cp\\u003eThe participants are mainly children between the ages of 5 and 18 years. 14\\u0026ndash;16 [\\u003cspan citationid=\\\"CR51\\\" class=\\\"CitationRef\\\"\\u003e51\\u003c/span\\u003e], 8\\u0026ndash;12 [\\u003cspan citationid=\\\"CR52\\\" class=\\\"CitationRef\\\"\\u003e52\\u003c/span\\u003e], 11\\u0026ndash;13 [\\u003cspan citationid=\\\"CR53\\\" class=\\\"CitationRef\\\"\\u003e53\\u003c/span\\u003e], 7\\u0026ndash;10 [\\u003cspan citationid=\\\"CR54\\\" class=\\\"CitationRef\\\"\\u003e54\\u003c/span\\u003e], 5\\u0026ndash;7 [\\u003cspan citationid=\\\"CR55\\\" class=\\\"CitationRef\\\"\\u003e55\\u003c/span\\u003e], 8\\u0026ndash;15 [\\u003cspan citationid=\\\"CR56\\\" class=\\\"CitationRef\\\"\\u003e56\\u003c/span\\u003e], 6\\u0026ndash;7 [\\u003cspan citationid=\\\"CR57\\\" class=\\\"CitationRef\\\"\\u003e57\\u003c/span\\u003e] 10\\u0026ndash;11 [\\u003cspan citationid=\\\"CR58\\\" class=\\\"CitationRef\\\"\\u003e58\\u003c/span\\u003e], 12\\u0026ndash;15 [\\u003cspan citationid=\\\"CR59\\\" class=\\\"CitationRef\\\"\\u003e59\\u003c/span\\u003e], 14\\u0026ndash;18 [\\u003cspan citationid=\\\"CR60\\\" class=\\\"CitationRef\\\"\\u003e60\\u003c/span\\u003e]. All the studies were conducted among boys and girls, except one performed among females only [\\u003cspan citationid=\\\"CR56\\\" class=\\\"CitationRef\\\"\\u003e56\\u003c/span\\u003e]. All the studies were conducted in various parts of the USA, including rural and urban areas: Massachusetts [\\u003cspan citationid=\\\"CR60\\\" class=\\\"CitationRef\\\"\\u003e60\\u003c/span\\u003e], Los Angeles [\\u003cspan citationid=\\\"CR59\\\" class=\\\"CitationRef\\\"\\u003e59\\u003c/span\\u003e] Cleveland metropolis [\\u003cspan citationid=\\\"CR58\\\" class=\\\"CitationRef\\\"\\u003e58\\u003c/span\\u003e] Boston [\\u003cspan citationid=\\\"CR56\\\" class=\\\"CitationRef\\\"\\u003e56\\u003c/span\\u003e], Nashville, Tennessee metropolis [\\u003cspan citationid=\\\"CR55\\\" class=\\\"CitationRef\\\"\\u003e55\\u003c/span\\u003e], Rural Minnesota villages [\\u003cspan citationid=\\\"CR54\\\" class=\\\"CitationRef\\\"\\u003e54\\u003c/span\\u003e] Houston, Texas [\\u003cspan citationid=\\\"CR53\\\" class=\\\"CitationRef\\\"\\u003e53\\u003c/span\\u003e] Greater San Diego, California [\\u003cspan citationid=\\\"CR52\\\" class=\\\"CitationRef\\\"\\u003e52\\u003c/span\\u003e] Phoenix, Arizona [\\u003cspan citationid=\\\"CR51\\\" class=\\\"CitationRef\\\"\\u003e51\\u003c/span\\u003e] and Rural mid-south area [\\u003cspan citationid=\\\"CR57\\\" class=\\\"CitationRef\\\"\\u003e57\\u003c/span\\u003e]. Furthermore, most of the studies were conducted among racial/ethnic minorities. Hispanic [\\u003cspan citationid=\\\"CR51\\\" class=\\\"CitationRef\\\"\\u003e51\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR53\\\" class=\\\"CitationRef\\\"\\u003e53\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR55\\\" class=\\\"CitationRef\\\"\\u003e55\\u003c/span\\u003e]. Hispanic white, and other mixed race/ethnicity [\\u003cspan citationid=\\\"CR52\\\" class=\\\"CitationRef\\\"\\u003e52\\u003c/span\\u003e], White [\\u003cspan citationid=\\\"CR54\\\" class=\\\"CitationRef\\\"\\u003e54\\u003c/span\\u003e] Latino [\\u003cspan citationid=\\\"CR56\\\" class=\\\"CitationRef\\\"\\u003e56\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR59\\\" class=\\\"CitationRef\\\"\\u003e59\\u003c/span\\u003e] European American and American Indian [\\u003cspan citationid=\\\"CR57\\\" class=\\\"CitationRef\\\"\\u003e57\\u003c/span\\u003e]. African Americans [\\u003cspan citationid=\\\"CR58\\\" class=\\\"CitationRef\\\"\\u003e58\\u003c/span\\u003e] Two of the studies were done specifically in low-income areas [\\u003cspan citationid=\\\"CR59\\\" class=\\\"CitationRef\\\"\\u003e59\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR58\\\" class=\\\"CitationRef\\\"\\u003e58\\u003c/span\\u003e]. while the remaining eight articles cut across various income levels where most of the included participants are from low-income homes.\\u003c/p\\u003e \\u003c/div\\u003e \\u003cdiv id=\\\"Sec18\\\" class=\\\"Section2\\\"\\u003e \\u003ch2\\u003e3.5 Outcome measures\\u003c/h2\\u003e \\u003cp\\u003eAll the papers included measured BMI or BMI z-score or percentile as an outcome. Three of these papers included other outcome measures such as physical activity, dietary intake, waist circumference, screen time, weight-specific Quality of Life, and insulin sensitivity. The BMI was measured by calculating the weight and height using the CDC guideline.\\u003c/p\\u003e \\u003c/div\\u003e \\u003cdiv id=\\\"Sec19\\\" class=\\\"Section2\\\"\\u003e \\u003ch2\\u003e3.6 Findings\\u003c/h2\\u003e \\u003cp\\u003eThe findings showed that five papers out of the ten reported significant decreases in BMI per cent [\\u003cspan citationid=\\\"CR51\\\" class=\\\"CitationRef\\\"\\u003e51\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR52\\\" class=\\\"CitationRef\\\"\\u003e52\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR53\\\" class=\\\"CitationRef\\\"\\u003e53\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR57\\\" class=\\\"CitationRef\\\"\\u003e57\\u003c/span\\u003e \\u003cspan citationid=\\\"CR56\\\" class=\\\"CitationRef\\\"\\u003e56\\u003c/span\\u003e]. The specific report of the five papers is [\\u003cspan citationid=\\\"CR51\\\" class=\\\"CitationRef\\\"\\u003e51\\u003c/span\\u003e] which recorded a significant reduction in BMI percentage (P0.001). According to Boutelle et al. [\\u003cspan citationid=\\\"CR52\\\" class=\\\"CitationRef\\\"\\u003e52\\u003c/span\\u003e], Parenting and Family-based treatment weight loss in children was 0.25 BMI z scores. It were non-inferior to each other with a mean difference in child weight reduction of 0.001 (95% confidence interval, 0.06 to 0.06). Students in the condition with a companion exhibited a higher decline in zBMI following the 6-month intervention (F\\u0026thinsp;=\\u0026thinsp;6.94, P\\u0026thinsp;=\\u0026thinsp;.01) than students in the condition without a companion, according to Arlinghaus et al. [\\u003cspan citationid=\\\"CR53\\\" class=\\\"CitationRef\\\"\\u003e53\\u003c/span\\u003e]. Furthermore, children who received the companion intervention had improved long-term outcomes (F\\u0026thinsp;=\\u0026thinsp;7.65, P\\u0026thinsp;=\\u0026thinsp;.01). According to Topham et al. [\\u003cspan citationid=\\\"CR57\\\" class=\\\"CitationRef\\\"\\u003e57\\u003c/span\\u003e], children with obesity who received the Family Lifestyle\\u0026thinsp;+\\u0026thinsp;Family Dynamics\\u0026thinsp;+\\u0026thinsp;Peer Group intervention had lower BMI growth in both raw BMI (B\\u0026thinsp;=\\u0026thinsp;0.05) and BMI-M per cent (B\\u0026thinsp;=\\u0026thinsp;2.36) when compared to controls. Bowen et al. [\\u003cspan citationid=\\\"CR56\\\" class=\\\"CitationRef\\\"\\u003e56\\u003c/span\\u003e] discovered a substantial change in body mass index (BMI) (p's.05).\\u003c/p\\u003e \\u003cp\\u003eThe remaining five reported no significant intervention effects on BMI [\\u003cspan citationid=\\\"CR54\\\" class=\\\"CitationRef\\\"\\u003e54\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR55\\\" class=\\\"CitationRef\\\"\\u003e55\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR58\\\" class=\\\"CitationRef\\\"\\u003e58\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR59\\\" class=\\\"CitationRef\\\"\\u003e59\\u003c/span\\u003e]. Out of the five, one recorded a promising reduction in boys' per cent body fat (2.1, 95 per cent CI [4.84, 0.63] [\\u003cspan citationid=\\\"CR54\\\" class=\\\"CitationRef\\\"\\u003e54\\u003c/span\\u003e].Of the ten studies, three included more findings: a decrease in body fat percentage, improvements in weight-specific Quality of Life, body fat percentage, waist circumference, and insulin sensitivity [\\u003cspan citationid=\\\"CR51\\\" class=\\\"CitationRef\\\"\\u003e51\\u003c/span\\u003e], a significant modification in eating and physical activity [\\u003cspan citationid=\\\"CR56\\\" class=\\\"CitationRef\\\"\\u003e56\\u003c/span\\u003e] and no difference in nutrition, and physical activity [\\u003cspan citationid=\\\"CR58\\\" class=\\\"CitationRef\\\"\\u003e58\\u003c/span\\u003e].\\u003c/p\\u003e \\u003c/div\\u003e\"},{\"header\":\"DISCUSSION\",\"content\":\"\\u003cp\\u003eThis study aimed to assess existing physical activity and dietary strategies in the United States for preventing childhood obesity among children between the ages of 5 and 18.\\u003c/p\\u003e \\u003cp\\u003eThis review primarily focused on behavioural (physical activity and diet) modification, a coordinated series of actions to alter particular behaviour patterns [\\u003cspan citationid=\\\"CR60\\\" class=\\\"CitationRef\\\"\\u003e60\\u003c/span\\u003e]. Beattie's personal counselling and health persuasive strategies facilitate individual transformation. These therapies are client-centred, emphasise personal development, and are administered by trained professionals [\\u003cspan citationid=\\\"CR61\\\" class=\\\"CitationRef\\\"\\u003e61\\u003c/span\\u003e]. Physical activity and a healthy, well-balanced diet are crucial for preventing obesity [\\u003cspan citationid=\\\"CR62\\\" class=\\\"CitationRef\\\"\\u003e62\\u003c/span\\u003e]. The World Health Organization's Global Strategy on Diet, Physical Activity, and Health advocates for global, regional, and local efforts to improve diets and boost physical activity [\\u003cspan citationid=\\\"CR63\\\" class=\\\"CitationRef\\\"\\u003e63\\u003c/span\\u003e].\\u003c/p\\u003e \\u003cp\\u003eIn addressing the second question of this review, the intervention was delivered by persuading, educating, motivating, or counselling through role modelling or goal setting in which 50% of the studies showed substantial changes in the outcomes of children's BMI while the remaining half did not, implying that a combination of physical activity and food intervention can improve children's body weight. This is consistent with Godoy-Cumillaf et al. [\\u003cspan citationid=\\\"CR64\\\" class=\\\"CitationRef\\\"\\u003e64\\u003c/span\\u003e] comprehensive review and meta-analysis, which found that physical activity combined with dietary treatments reduced BMI. However, despite public health and healthcare initiatives to enhance physical activity and modify food among people with obesity, insufficient progress has been made in lessening the burden of this condition [\\u003cspan citationid=\\\"CR65\\\" class=\\\"CitationRef\\\"\\u003e65\\u003c/span\\u003e]. This may result from limited public support for efforts that alter the environment to combat obesity [\\u003cspan citationid=\\\"CR66\\\" class=\\\"CitationRef\\\"\\u003e66\\u003c/span\\u003e]. The Capability, Opportunity, and Motivation model of Behaviour (COM-B) suggests that interactions between capability, opportunity, and motivation result in the performance of behaviour, which in turn influences those three components [\\u003cspan citationid=\\\"CR67\\\" class=\\\"CitationRef\\\"\\u003e67\\u003c/span\\u003e]. Large-scale adjustments to the physical and fiscal environments that encourage better food consumption and more physical activity would help reduce the health and economic burden of obesity [\\u003cspan citationid=\\\"CR66\\\" class=\\\"CitationRef\\\"\\u003e66\\u003c/span\\u003e].\\u003c/p\\u003e \\u003cp\\u003eTreatment of childhood obesity is quite challenging [\\u003cspan citationid=\\\"CR68\\\" class=\\\"CitationRef\\\"\\u003e68\\u003c/span\\u003e]. Moreover, parents significantly impact their children's dietary and physical activity habits, which affects the likelihood of childhood obesity [\\u003cspan citationid=\\\"CR34\\\" class=\\\"CitationRef\\\"\\u003e34\\u003c/span\\u003e]\\u003c/p\\u003e \\u003cp\\u003eSeventy per cent of the selected studies involved parents/guardians as part of the intervention participants, which may account for some of the successes observed in half of the studies included. Given their relationship links and shared home environment, parents are among the most important sources of social impact on children's weight status and weight-related behaviours [\\u003cspan citationid=\\\"CR69\\\" class=\\\"CitationRef\\\"\\u003e69\\u003c/span\\u003e]. Parental influences on child behaviour include food shopping and meal preparation decisions, parenting style, knowledge, attitudes, and behaviours about nutrition, physical activity, and health [\\u003cspan citationid=\\\"CR34\\\" class=\\\"CitationRef\\\"\\u003e34\\u003c/span\\u003e]. For instance, parents might monitor their children's consumption to encourage the adoption of healthier dietary choices, such as increased fruit and vegetable consumption [\\u003cspan citationid=\\\"CR69\\\" class=\\\"CitationRef\\\"\\u003e69\\u003c/span\\u003e]. Nonetheless, parent modelling conveys norms and expectations to follow, creates the ability to engage in healthy activities, and contributes to an atmosphere that supports healthy decisions [\\u003cspan citationid=\\\"CR69\\\" class=\\\"CitationRef\\\"\\u003e69\\u003c/span\\u003e]. The findings of a systematic review conducted by Flynn et al. [\\u003cspan citationid=\\\"CR71\\\" class=\\\"CitationRef\\\"\\u003e71\\u003c/span\\u003e] indicate that home-based and family-based interventions were beneficial in avoiding childhood obesity. Therefore, to improve the impact of interventions on children\\u0026rsquo;s obesity and related issues, it is advisable to include parental participation.\\u003c/p\\u003e \\u003cp\\u003eThe studies were conducted in two different settings: school-based and community-based. This is in line with the survey by Tomayko et al. [\\u003cspan citationid=\\\"CR34\\\" class=\\\"CitationRef\\\"\\u003e34\\u003c/span\\u003e] which states that most children spend considerable time in non-home settings, such as daycare, preschool, and/or school. Empirical evidence shows that the school environment is appropriate for addressing change in obesity-related behaviours because it provides concentrated contact, health education, and meals and can serve as a model for health-promoting settings [\\u003cspan citationid=\\\"CR71\\\" class=\\\"CitationRef\\\"\\u003e71\\u003c/span\\u003e]. Also, school-based interventions can reach all students, regardless of socioeconomic position, allowing access to those who may benefit the most and overcoming health disparities [\\u003cspan citationid=\\\"CR71\\\" class=\\\"CitationRef\\\"\\u003e71\\u003c/span\\u003e]. In contrast, Narzisi and Simons [\\u003cspan citationid=\\\"CR72\\\" class=\\\"CitationRef\\\"\\u003e72\\u003c/span\\u003e] argue that interventions could lose effectiveness over the summer. Moreover, community-based initiatives can help youngsters increase their physical activity and nutritional intake [\\u003cspan citationid=\\\"CR73\\\" class=\\\"CitationRef\\\"\\u003e73\\u003c/span\\u003e]. However, numerous challenges and problems might be associated with building community capacity and incorporating community leaders, stakeholders, community agencies, and city organisations [\\u003cspan citationid=\\\"CR74\\\" class=\\\"CitationRef\\\"\\u003e74\\u003c/span\\u003e]. Therefore, more effort should be made to engage stakeholders and policymakers to improve community-based interventions continuously.\\u003c/p\\u003e \\u003cp\\u003eIn addressing question three of this review, the studies were conducted across urban and rural areas where most participants were from racial/ethnic minorities. Hispanic led, followed by Latinos, African-Americans, European, and Indian-Americans. Two studies were conducted explicitly within the low-income area. At the same time, the remaining eight papers cover a range of income levels, with most participants coming from low-income households. Correspondingly, multiple socio-ecological factors place ethnically diverse children of low socioeconomic status at a higher risk of being overweight or obese, which is aggravated by inadequate access to health care that can prevent excess weight gain and its consequences [\\u003cspan citationid=\\\"CR74\\\" class=\\\"CitationRef\\\"\\u003e74\\u003c/span\\u003e] Obesity is still a severe public health issue that disproportionately affects children of colour [\\u003cspan citationid=\\\"CR75\\\" class=\\\"CitationRef\\\"\\u003e75\\u003c/span\\u003e]. Concurrently, it disproportionately affects those living in poverty and those with a lower socioeconomic standing, as well as African Americans and Hispanics [\\u003cspan citationid=\\\"CR76\\\" class=\\\"CitationRef\\\"\\u003e76\\u003c/span\\u003e].\\u003c/p\\u003e \\u003cp\\u003eMost articles featured interventions that lasted one year or less, with individuals participating for the entire time. Unfortunately, the BMI of school-age children is rapidly altering in tandem with their development, especially throughout preadolescence [\\u003cspan citationid=\\\"CR50\\\" class=\\\"CitationRef\\\"\\u003e50\\u003c/span\\u003e]. When trials are shorter, establishing intervention effectiveness with child outcomes such as improved BMI might be difficult [\\u003cspan citationid=\\\"CR50\\\" class=\\\"CitationRef\\\"\\u003e50\\u003c/span\\u003e]. The articles used estimated BMI values such as z-scores and percentiles to account for rapid and non-linear development over time. According to a study by Mei et al. [\\u003cspan citationid=\\\"CR77\\\" class=\\\"CitationRef\\\"\\u003e77\\u003c/span\\u003e] interventions in preschool and elementary school-aged children were associated with a substantial reduction in obesity risk following a long-term follow-up. Therefore, public health researchers need to consider developing long-term childhood obesity interventions.\\u003c/p\\u003e \\u003cp\\u003eNumerous conceptual models are available to explain potential interactions and individual variables that lead to obesogenic behaviours and the development of childhood obesity, as well as objectives for changing health behaviours and routines [\\u003cspan citationid=\\\"CR74\\\" class=\\\"CitationRef\\\"\\u003e74\\u003c/span\\u003e]. Theory-based interventions to change health behaviours may be more effective than non-theory-based interventions [\\u003cspan citationid=\\\"CR50\\\" class=\\\"CitationRef\\\"\\u003e50\\u003c/span\\u003e]. Social cognitive theory was the most often utilised theory in the studies. This agrees with a study by Bagherniya et al. [\\u003cspan citationid=\\\"CR78\\\" class=\\\"CitationRef\\\"\\u003e78\\u003c/span\\u003e], which acknowledges that one of the most often used theories for developing nutrition education and physical activity programmes, particularly for obesity prevention in children and adolescents, is social cognitive theory. Social cognitive theory provides a comprehensive framework for investigating behavioural drivers, possible mediators, and behavioural change processes [\\u003cspan citationid=\\\"CR78\\\" class=\\\"CitationRef\\\"\\u003e78\\u003c/span\\u003e]. Environment, behavioural capacity, self-control, observational learning, reinforcement, and self-efficacy are some of the components of the theory [\\u003cspan citationid=\\\"CR79\\\" class=\\\"CitationRef\\\"\\u003e79\\u003c/span\\u003e]. Self-efficacy is considered a primary driver of action and a mediator and prerequisite for behaviour change [\\u003cspan citationid=\\\"CR78\\\" class=\\\"CitationRef\\\"\\u003e78\\u003c/span\\u003e].\\u003c/p\\u003e \\u003cdiv id=\\\"Sec21\\\" class=\\\"Section2\\\"\\u003e \\u003ch2\\u003e4.1 Implications of the research for public health practice\\u003c/h2\\u003e \\u003cp\\u003eThe systematic review showed that the current lifestyle intervention combining physical activity and dietary education can positively influence weight-related outcomes and BMI among children aged 5 to 18 years old. These interventions may not have achieved optimal success because individual risk variables for childhood obesity, such as nutrition consumption and physical activity levels, address just a portion of the problem [\\u003cspan citationid=\\\"CR80\\\" class=\\\"CitationRef\\\"\\u003e80\\u003c/span\\u003e]. It is essential to consider the availability of nutritious food and community services, the safety of the neighbourhood, and the dynamics of the family [\\u003cspan citationid=\\\"CR21\\\" class=\\\"CitationRef\\\"\\u003e21\\u003c/span\\u003e].In other words, rigorous multi-pronged interventions are required to minimise the numerous causes linked with excess weight gain in children [\\u003cspan citationid=\\\"CR54\\\" class=\\\"CitationRef\\\"\\u003e54\\u003c/span\\u003e]. The analysis of this study found that children of racial/ethnic minority and poor socioeconomic status are more prone to overweight/obesity in the USA. Obesity is mainly driven by an unhealthy lifestyle, which includes an increase in energy-dense foods, increased screen time, decreased physical activity, and less sleep. In addition to an unhealthy lifestyle, demographic factors such as socioeconomic level and ethnicity play an essential role in the genesis of childhood obesity. This suggests that culture and socioeconomic position should be taken into account when designing lifestyle interventions for racial/ethnic minorities and children with low socioeconomic levels. The prevalence of childhood obesity is most significant in metropolitan areas, among minorities, and in low-income homes. These trends show that several contributory elements are at play, the most important of which is income level [\\u003cspan citationid=\\\"CR65\\\" class=\\\"CitationRef\\\"\\u003e65\\u003c/span\\u003e]. Childhood obesity is linked to a variety of socioeconomic issues, including poverty and education [\\u003cspan citationid=\\\"CR80\\\" class=\\\"CitationRef\\\"\\u003e80\\u003c/span\\u003e]. In other words, adherence to obesity prevention initiatives among children and families heavily depends on socioeconomic circumstances [\\u003cspan citationid=\\\"CR6\\\" class=\\\"CitationRef\\\"\\u003e6\\u003c/span\\u003e]. Studies have shown that obesity prevention has had mixed results due to a misalignment of individual behaviour focus against a disease with complex and multiple causes [\\u003cspan citationid=\\\"CR18\\\" class=\\\"CitationRef\\\"\\u003e18\\u003c/span\\u003e]. According to Nobles et al. [\\u003cspan citationid=\\\"CR81\\\" class=\\\"CitationRef\\\"\\u003e81\\u003c/span\\u003e], therapies tested through RCTs have focused on downstream, individualistic drivers of obesity during the last 25 years, despite a step change in our understanding of its complex aetiology. This implies that RCT studies should focus more on systemic interventions such as policy and socioeconomic interventions. However, this complexity has recently spurred public health practitioners and researchers to experiment with systems science methodologies, shifting the focus away from individual behaviour modification and toward community, environmental, and policy interventions [\\u003cspan citationid=\\\"CR18\\\" class=\\\"CitationRef\\\"\\u003e18\\u003c/span\\u003e]. Furthermore, it is strongly advised that food quality standards and governmental regulations be established to promote healthy lifestyle practices [\\u003cspan citationid=\\\"CR6\\\" class=\\\"CitationRef\\\"\\u003e6\\u003c/span\\u003e]. Successful interventions may also involve culturally sensitive instruction for caregivers and children and financial assistance to purchase nutritious foods [\\u003cspan citationid=\\\"CR82\\\" class=\\\"CitationRef\\\"\\u003e82\\u003c/span\\u003e].\\u003c/p\\u003e \\u003cp\\u003eThere is no singular, correct, or universal theoretical framework for each given field of study. In a complicated endeavour like obesity prevention, various theoretical frameworks are likely to be required to guide interventions and interpretation of the results [\\u003cspan citationid=\\\"CR83\\\" class=\\\"CitationRef\\\"\\u003e83\\u003c/span\\u003e]. From the elements of the intervention model, Beattie's approach provides four paradigms, from authoritative top-down and expert-led to negotiated bottom-up and individual liberty [\\u003cspan citationid=\\\"CR61\\\" class=\\\"CitationRef\\\"\\u003e61\\u003c/span\\u003e]. Beattie's four health promotion tactics include health persuasion, legislative action, personal counselling, and community development. To cope with this multifaceted and complicated disease, all stakeholders should play an active role in helping and empowering children and families [\\u003cspan citationid=\\\"CR6\\\" class=\\\"CitationRef\\\"\\u003e6\\u003c/span\\u003e]. Nonetheless, national policies provide several benefits. However, they can be challenging to implement in large and diverse countries such as the United States [\\u003cspan citationid=\\\"CR84\\\" class=\\\"CitationRef\\\"\\u003e84\\u003c/span\\u003e]. Health protection accords with Beattie's concept regarding legislative action, which are professionally directed programmes focused on protecting communities. One example is lobbying for stricter food labelling requirements [\\u003cspan citationid=\\\"CR61\\\" class=\\\"CitationRef\\\"\\u003e61\\u003c/span\\u003e].\\u003c/p\\u003e \\u003cp\\u003eFurthermore, future research and efforts to enhance public health practice ought to focus on conducting more primary research on the various community, environmental, policy, and socioeconomic interventions.\\u003c/p\\u003e \\u003c/div\\u003e \\u003cdiv id=\\\"Sec22\\\" class=\\\"Section2\\\"\\u003e \\u003ch2\\u003e4.2 Strengths and Limitations\\u003c/h2\\u003e \\u003cp\\u003eThis study has various strengths, including using a standardised reporting format (PRISMA 2020 guidelines [\\u003cspan citationid=\\\"CR50\\\" class=\\\"CitationRef\\\"\\u003e50\\u003c/span\\u003e]), which helps eliminate variations and aid in information synthesis in future reviews. The data were analysed using RCTs research design papers, which are prospective studies that examine the efficacy of a new intervention or treatment, decreasing bias and providing a rigorous technique for evaluating cause-effect relationships between an intervention and outcome. The peer-reviewed scholarly publication was employed as it efficiently exposes an author's work to the evaluation of other experts in the subject. The study looked at current physical activity and dietary methods in the United States for preventing childhood obesity in children aged 5 to 18.\\u003c/p\\u003e \\u003cp\\u003eIt can be challenging to perform systematic reviews evaluating the effectiveness of complex health interventions [\\u003cspan citationid=\\\"CR85\\\" class=\\\"CitationRef\\\"\\u003e85\\u003c/span\\u003e].Several flaws must also be acknowledged. To begin with, just one researcher did the review, which is insufficient to decrease the danger of bias in the review process. The topic was changed several times due to the challenges faced in finding sufficient primary research articles (for the previous topic), which may not have allowed the researcher enough time to search and analyse more articles.\\u003c/p\\u003e \\u003cdiv id=\\\"Sec23\\\" class=\\\"Section3\\\"\\u003e \\u003ch2\\u003e4.3 Recommendations\\u003c/h2\\u003e \\u003cp\\u003eConsidering the analysis and findings from this study, it recommends that future studies concentrate on conducting more primary research on the numerous community, environmental, policy, and socioeconomic interventions that improve public health practice.\\u003c/p\\u003e \\u003cp\\u003eFurthermore, in urban design, an environment should be created that considers public health and the danger of obesity by including walking and cycling trails, sports halls, play places, and public transportation routes. Concurrently, the US government should fund more community-based research to investigate the influence of modifications to the built environment on physical activity levels in relevant communities and populations. Also, the Department of Health and Human Services should create, administer, and assess long-term national multimedia and public relations campaigns aimed at preventing childhood obesity, especially among racial/ethnic minorities and children of low socioeconomic status.\\u003c/p\\u003e \\u003cp\\u003eAdditionally, as earlier stated, obesity interventions in children\\u0026rsquo;s settings should be structured so that parents/guardians can participate as role models. Nutrition labelling should be simple and easy to understand so parents and children can make informed product comparisons and selections to achieve and maintain energy balance at a healthy weight.\\u003c/p\\u003e \\u003c/div\\u003e \\u003c/div\\u003e \"},{\"header\":\"CONCLUSION AND REFERENCES\",\"content\":\"\\u003cdiv id=\\\"Sec24\\\" class=\\\"Section2\\\"\\u003e \\u003cdiv id=\\\"Sec25\\\" class=\\\"Section3\\\"\\u003e \\u003ch2\\u003e5.1 Conclusion\\u003c/h2\\u003e \\u003cp\\u003eThe systematic review found that childhood obesity is still prevalent in the United States, particularly among racial/ethnic minorities and low-income groups, and will continue to increase if not appropriately handled. Also, the study emphasises that the current behavioural interventions, which combine physical activity and dietary education, are capable of positively influencing weight-related outcomes and BMI among children aged 5 to 18 years old in the United States but will achieve more tremendous success when an integrated multicomponent approach is used, involving several stakeholders capable of empowering both children and families to change their lifestyle and reduce potential risk factors in their environment. Because obesity is a complicated issue that necessitates a multidimensional solution, legislators, state and local organisations, corporate, school, and community leaders, childcare and healthcare professionals, and individuals must all collaborate to create an atmosphere that promotes healthy living. Nonetheless, more emphasis should be placed on systemic treatments, such as policy and socioeconomic interventions, in future RCT research.\\u003c/p\\u003e \\u003cp\\u003eUnderstanding Public Health, which is about reducing unnecessary sickness, injuries, impairments, and death while promoting and optimising a healthy environment and ideal conditions for present and future generations, is one of the knowledge and skills gained during this research. Additionally, the understanding of research will be used to present data and its interpretation in a way the target audience will understand. This can be disseminated through journal publications, social media, presentations at conferences, workshops, and seminars, as well as to funders to address overall health policy, resource allocation, and the organisation, management, and provision of medical care and health systems in general. Finally, the learned skills will be utilised to assist individuals, organisations, and society in combating preventable disease, mortality, and disability by using the three main components of public health: health promotion, illness prevention, and health protection.\\u003c/p\\u003e \\u003c/div\\u003e \\u003c/div\\u003e\"},{\"header\":\"Declarations\",\"content\":\"\\u003ch2\\u003eAuthor Contribution\\u003c/h2\\u003e\\u003cp\\u003eCIC completed the research as a SR as a student. NQW, CIC and AS all worked on this article to assist in the presentation for publication.\\u003c/p\\u003e\"},{\"header\":\"References\",\"content\":\"\\u003col\\u003e\\u003cli\\u003e\\u003cspan\\u003eTiwari A, Balasundaram P. (2023) Public Health Considerations for Obesity. National Institutes of Health - National Library of Medicine. Available at: \\u003cspan class=\\\"ExternalRef\\\"\\u003e\\u003cspan class=\\\"RefSource\\\"\\u003ehttps://www.ncbi.nlm.nih.gov/books/NBK572122/\\u003c/span\\u003e\\u003cspan address=\\\"https://www.ncbi.nlm.nih.gov/books/NBK572122/\\\" targettype=\\\"URL\\\" class=\\\"RefTarget\\\"\\u003e\\u003c/span\\u003e\\u003c/span\\u003e\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eWorld Health Organisation. (2024). Available at: \\u003cspan class=\\\"ExternalRef\\\"\\u003e\\u003cspan class=\\\"RefSource\\\"\\u003ehttps://www.who.int/news/item/01-03-2024-one-in-eight-people-are-now-living-with-obesity\\u003c/span\\u003e\\u003cspan address=\\\"https://www.who.int/news/item/01-03-2024-one-in-eight-people-are-now-living-with-obesity\\\" targettype=\\\"URL\\\" class=\\\"RefTarget\\\"\\u003e\\u003c/span\\u003e\\u003c/span\\u003e\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eMarshall S, Taki S, Laird Y, Love P, Wen LM, Rissel C. Cultural adaptations of obesity-related behavioral prevention interventions in early childhood: A systematic review. Obes Rev. 2022;23(4):e13402.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003ePratt CA, Loria CM, Arteaga SS, Nicastro HL, Lopez-Class M, de Jesus JM, Srinivas P, Maric-Bilkan C, Longacre LS, Boyington JE, Wouhib A. A systematic review of obesity disparities research. Am J Prev Med. 2017;53(1):113\\u0026ndash;22.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eSwinburn B, Hovmand P, Waterlander W, Allender S. (2022) The global syndemic of obesity, undernutrition, and climate change. Clinical Obesity in Adults and Children, pp.409\\u0026ndash;427.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eVerduci E, Di Profio E, Fiore G, Zuccotti G. (2022) Integrated approaches to combatting childhood obesity. \\u003cem\\u003eAnnals of Nutrition and Metabolism\\u003c/em\\u003e, pp.1\\u0026ndash;12.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eKothandan SK. School-based interventions versus family-based interventions in the treatment of childhood obesity-a systematic review. Archives Public Health. 2014;72(1):1\\u0026ndash;17.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eBridge GL, Willis TA, Evans CE, Roberts KP, Rudolf M. The impact of HENRY on parenting and family lifestyle: exploratory analysis of the mechanisms for change. Child Care Health Dev. 2019;45(6):850\\u0026ndash;60.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eKansra AR, Lakkunarajah S, Jay MS. 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Aust N Z J Public Health. 2011;35(2):104\\u0026ndash;6.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eKing AC, Perez-Escamilla R, Vorkoper S, Anand N, Rivera J. (2021) Childhood obesity prevention across borders: The promise of US\\u0026ndash;Latin American Research Collaboration. Obes Rev, \\u003cem\\u003e22\\u003c/em\\u003e(Suppl 3).\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eHiggins JP, L\\u0026oacute;pez-L\\u0026oacute;pez JA, Becker BJ, Davies SR, Dawson S, Grimshaw JM, McGuinness LA, Moore TH, Rehfuess EA, Thomas J, Caldwell DM. Synthesising quantitative evidence in systematic reviews of complex health interventions. BMJ global health. 2019;4(Suppl 1):e000858.\\u003c/span\\u003e\\u003c/li\\u003e\\u003c/ol\\u003e\"}],\"fulltextSource\":\"\",\"fullText\":\"\",\"funders\":[],\"hasAdminPriorityOnWorkflow\":false,\"hasManuscriptDocX\":true,\"hasOptedInToPreprint\":true,\"hasPassedJournalQc\":\"\",\"hasAnyPriority\":true,\"hideJournal\":true,\"highlight\":\"\",\"institution\":\"\",\"isAcceptedByJournal\":false,\"isAuthorSuppliedPdf\":false,\"isDeskRejected\":\"\",\"isHiddenFromSearch\":false,\"isInQc\":false,\"isInWorkflow\":false,\"isPdf\":false,\"isPdfUpToDate\":true,\"isWithdrawnOrRetracted\":false,\"journal\":{\"display\":true,\"email\":\"info@researchsquare.com\",\"identity\":\"researchsquare\",\"isNatureJournal\":false,\"hasQc\":true,\"allowDirectSubmit\":true,\"externalIdentity\":\"\",\"sideBox\":\"\",\"snPcode\":\"\",\"submissionUrl\":\"/submission\",\"title\":\"Research Square\",\"twitterHandle\":\"researchsquare\",\"acdcEnabled\":true,\"dfaEnabled\":false,\"editorialSystem\":\"\",\"reportingPortfolio\":\"\",\"inReviewEnabled\":false,\"inReviewRevisionsEnabled\":true},\"keywords\":\"Child, Adolescent, Obesity, Exercise, Physical activity, Diet\",\"lastPublishedDoi\":\"10.21203/rs.3.rs-6035753/v1\",\"lastPublishedDoiUrl\":\"https://doi.org/10.21203/rs.3.rs-6035753/v1\",\"license\":{\"name\":\"CC BY 4.0\",\"url\":\"https://creativecommons.org/licenses/by/4.0/\"},\"manuscriptAbstract\":\"\\u003ch2\\u003eIntroduction:\\u003c/h2\\u003e \\u003cp\\u003eIn the United States, ethnic/racial minorities and poor socioeconomic status children are disproportionately affected by childhood obesity. Among Organization for Economic Cooperation and Development member states, the United States has the highest obesity rate in the world. In an investigation of the prevalence of childhood obesity in the United States, no age group showed indications of a decrease. Obesity prevention in children is a global priority. Diet and physical activity are considered to be changeable behavioural factors that affect overweight and obesity. A significant body of research on behavioural risk factors associated with childhood obesity implies that physical activity and eating behaviours are related and likely bidirectionally causal, and hence should be explored simultaneously in this study.\\u003c/p\\u003e\\u003ch2\\u003eMethods:\\u003c/h2\\u003e \\u003cp\\u003eA narrative synthesis for quantitative studies was chosen to answer the research questions in this systematic review because it helps to organise, describe, investigate, and evaluate study findings. The systematic search utilised specified combinations of MeSH words, Boolean operators, and Truncation and was conducted using three databases: PubMed, MEDLINE, and Child Development \\u0026amp; Adolescent Studies and covered between the year 2016 and 2022. The study followed the PRISMA guideline to eliminate irrelevant papers. Only ten papers published in English were selected for the study. The Critical Appraisal Skills Programme for Randomised Control Trial (RCT) research appraisal instrument was utilised to evaluate the study's quality.\\u003c/p\\u003e\\u003ch2\\u003eResults:\\u003c/h2\\u003e \\u003cp\\u003eIncluded were ten studies from across the United States between the year 2016 to 2022. These studies were undertaken primarily in two distinct settings: the school and the community. The review found that childhood obesity is still pervasive in the United States, especially among racial/ethnic minorities and low-income groups, and will continue to rise if not adequately addressed.\\u003c/p\\u003e\\u003ch2\\u003eConclusions:\\u003c/h2\\u003e \\u003cp\\u003eThe current behavioural interventions, which include physical activity and nutrition education, are capable of positively influencing weight-related outcomes and BMI among 5 to 18-year-old children in the United States, but an integrated multicomponent strategy will achieve better results. Nonetheless, future RCT research should focus a greater emphasis on systemic therapies, such as policy and socioeconomic interventions.\\u003c/p\\u003e\",\"manuscriptTitle\":\"Evaluation Of Physical Activity And Diet Interventions In Preventing Childhood Obesity In The United States Of America: A Systematic Review\",\"msid\":\"\",\"msnumber\":\"\",\"nonDraftVersions\":[{\"code\":1,\"date\":\"2025-03-04 08:42:11\",\"doi\":\"10.21203/rs.3.rs-6035753/v1\",\"editorialEvents\":[{\"type\":\"communityComments\",\"content\":0}],\"status\":\"published\",\"journal\":{\"display\":true,\"email\":\"info@researchsquare.com\",\"identity\":\"researchsquare\",\"isNatureJournal\":false,\"hasQc\":true,\"allowDirectSubmit\":true,\"externalIdentity\":\"\",\"sideBox\":\"\",\"snPcode\":\"\",\"submissionUrl\":\"/submission\",\"title\":\"Research Square\",\"twitterHandle\":\"researchsquare\",\"acdcEnabled\":true,\"dfaEnabled\":false,\"editorialSystem\":\"\",\"reportingPortfolio\":\"\",\"inReviewEnabled\":false,\"inReviewRevisionsEnabled\":true}}],\"origin\":\"\",\"ownerIdentity\":\"358d6e58-7ca4-4cae-b6e7-1a5fe8035b7a\",\"owner\":[],\"postedDate\":\"March 4th, 2025\",\"published\":true,\"recentEditorialEvents\":[],\"rejectedJournal\":[],\"revision\":\"\",\"amendment\":\"\",\"status\":\"posted\",\"subjectAreas\":[],\"tags\":[],\"updatedAt\":\"2025-06-13T14:53:20+00:00\",\"versionOfRecord\":[],\"versionCreatedAt\":\"2025-03-04 08:42:11\",\"video\":\"\",\"vorDoi\":\"\",\"vorDoiUrl\":\"\",\"workflowStages\":[]},\"version\":\"v1\",\"identity\":\"rs-6035753\",\"journalConfig\":\"researchsquare\"},\"__N_SSP\":true},\"page\":\"/article/[identity]/[[...version]]\",\"query\":{\"redirect\":\"/article/rs-6035753\",\"identity\":\"rs-6035753\",\"version\":[\"v1\"]},\"buildId\":\"8U1c8b4HqxoKbykW_rLl7\",\"isFallback\":false,\"isExperimentalCompile\":false,\"dynamicIds\":[84888],\"gssp\":true,\"scriptLoader\":[]}","source_license":"CC-BY-4.0","license_restricted":false}