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Health outcomes in children and adolescents with overweight or obesity exposed to physical activity interventions: an umbrella review covering over 1,200 trials | medRxiv /* */ /* */ <!-- <!-- /*! * yepnope1.5.4 * (c) WTFPL, GPLv2 */ (function(a,b,c){function d(a){return"[object Function]"==o.call(a)}function e(a){return"string"==typeof a}function f(){}function g(a){return!a||"loaded"==a||"complete"==a||"uninitialized"==a}function h(){var a=p.shift();q=1,a?a.t?m(function(){("c"==a.t?B.injectCss:B.injectJs)(a.s,0,a.a,a.x,a.e,1)},0):(a(),h()):q=0}function i(a,c,d,e,f,i,j){function k(b){if(!o&&g(l.readyState)&&(u.r=o=1,!q&&h(),l.onload=l.onreadystatechange=null,b)){"img"!=a&&m(function(){t.removeChild(l)},50);for(var d in y[c])y[c].hasOwnProperty(d)&&y[c][d].onload()}}var j=j||B.errorTimeout,l=b.createElement(a),o=0,r=0,u={t:d,s:c,e:f,a:i,x:j};1===y[c]&&(r=1,y[c]=[]),"object"==a?l.data=c:(l.src=c,l.type=a),l.width=l.height="0",l.onerror=l.onload=l.onreadystatechange=function(){k.call(this,r)},p.splice(e,0,u),"img"!=a&&(r||2===y[c]?(t.insertBefore(l,s?null:n),m(k,j)):y[c].push(l))}function j(a,b,c,d,f){return q=0,b=b||"j",e(a)?i("c"==b?v:u,a,b,this.i++,c,d,f):(p.splice(this.i++,0,a),1==p.length&&h()),this}function k(){var a=B;return a.loader={load:j,i:0},a}var l=b.documentElement,m=a.setTimeout,n=b.getElementsByTagName("script")[0],o={}.toString,p=[],q=0,r="MozAppearance"in l.style,s=r&&!!b.createRange().compareNode,t=s?l:n.parentNode,l=a.opera&&"[object Opera]"==o.call(a.opera),l=!!b.attachEvent&&!l,u=r?"object":l?"script":"img",v=l?"script":u,w=Array.isArray||function(a){return"[object Array]"==o.call(a)},x=[],y={},z={timeout:function(a,b){return b.length&&(a.timeout=b[0]),a}},A,B;B=function(a){function b(a){var a=a.split("!"),b=x.length,c=a.pop(),d=a.length,c={url:c,origUrl:c,prefixes:a},e,f,g;for(f=0;f<d;f++)g=a[f].split("="),(e=z[g.shift()])&&(c=e(c,g));for(f=0;f<b;f++)c=x[f](c);return c}function g(a,e,f,g,h){var i=b(a),j=i.autoCallback;i.url.split(".").pop().split("?").shift(),i.bypass||(e&&(e=d(e)?e:e[a]||e[g]||e[a.split("/").pop().split("?")[0]]),i.instead?i.instead(a,e,f,g,h):(y[i.url]?i.noexec=!0:y[i.url]=1,f.load(i.url,i.forceCSS||!i.forceJS&&"css"==i.url.split(".").pop().split("?").shift()?"c":c,i.noexec,i.attrs,i.timeout),(d(e)||d(j))&&f.load(function(){k(),e&&e(i.origUrl,h,g),j&&j(i.origUrl,h,g),y[i.url]=2})))}function h(a,b){function c(a,c){if(a){if(e(a))c||(j=function(){var a=[].slice.call(arguments);k.apply(this,a),l()}),g(a,j,b,0,h);else if(Object(a)===a)for(n in m=function(){var b=0,c;for(c in a)a.hasOwnProperty(c)&&b++;return b}(),a)a.hasOwnProperty(n)&&(!c&&!--m&&(d(j)?j=function(){var a=[].slice.call(arguments);k.apply(this,a),l()}:j[n]=function(a){return function(){var b=[].slice.call(arguments);a&&a.apply(this,b),l()}}(k[n])),g(a[n],j,b,n,h))}else!c&&l()}var h=!!a.test,i=a.load||a.both,j=a.callback||f,k=j,l=a.complete||f,m,n;c(h?a.yep:a.nope,!!i),i&&c(i)}var i,j,l=this.yepnope.loader;if(e(a))g(a,0,l,0);else if(w(a))for(i=0;i (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];var j=d.createElement(s);var dl=l!='dataLayer'?'&l='+l:'';j.src='//www.googletagmanager.com/gtm.js?id='+i+dl;j.type='text/javascript';j.async=true;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-P4HH5NV'); Skip to main content Home About Submit ALERTS / RSS Search for this keyword Advanced Search Health outcomes in children and adolescents with overweight or obesity exposed to physical activity interventions: an umbrella review covering over 1,200 trials View ORCID Profile Fernanda Dias Massierer , View ORCID Profile Cíntia Ehlers Botton , Jessica Pietra da Silva Carvalho , Gisele Cassão , View ORCID Profile Angélica Trevisan De Nardi , View ORCID Profile Jayne Feter , View ORCID Profile Andresa Conrado Ignacio , View ORCID Profile Rodrigo Leal-Menezes , View ORCID Profile Nórton Luís Oliveira , View ORCID Profile Lucineia Orsolin Pfeifer , Leandro dos Santos , Lucas Porto Santos , View ORCID Profile Larissa Xavier Neves da Silva , Luciana dos Passos e Silva , Frederico Moraes Schwingel , View ORCID Profile Carolina Weingärtner Welter , View ORCID Profile Daniel Umpierre doi: https://doi.org/10.1101/2025.01.21.25320866 Fernanda Dias Massierer 1 Universidade Federal do Rio Grande do Sul (UFRGS) , Porto Alegre, Brazil 2 LADD Lab, Hospital de Clínicas de Porto Alegre (HCPA) , Porto Alegre, Brazil MSc. Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Fernanda Dias Massierer Cíntia Ehlers Botton 3 Universidade Federal do Ceará (UFC) , Fortaleza, Brazil ScD Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Cíntia Ehlers Botton Jessica Pietra da Silva Carvalho 1 Universidade Federal do Rio Grande do Sul (UFRGS) , Porto Alegre, Brazil 2 LADD Lab, Hospital de Clínicas de Porto Alegre (HCPA) , Porto Alegre, Brazil Find this author on Google Scholar Find this author on PubMed Search for this author on this site Gisele Cassão 2 LADD Lab, Hospital de Clínicas de Porto Alegre (HCPA) , Porto Alegre, Brazil MSc Find this author on Google Scholar Find this author on PubMed Search for this author on this site Angélica Trevisan De Nardi 2 LADD Lab, Hospital de Clínicas de Porto Alegre (HCPA) , Porto Alegre, Brazil ScD Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Angélica Trevisan De Nardi Jayne Feter 1 Universidade Federal do Rio Grande do Sul (UFRGS) , Porto Alegre, Brazil 2 LADD Lab, Hospital de Clínicas de Porto Alegre (HCPA) , Porto Alegre, Brazil ScD Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Jayne Feter Andresa Conrado Ignacio 1 Universidade Federal do Rio Grande do Sul (UFRGS) , Porto Alegre, Brazil 2 LADD Lab, Hospital de Clínicas de Porto Alegre (HCPA) , Porto Alegre, Brazil MSc Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Andresa Conrado Ignacio Rodrigo Leal-Menezes 1 Universidade Federal do Rio Grande do Sul (UFRGS) , Porto Alegre, Brazil 2 LADD Lab, Hospital de Clínicas de Porto Alegre (HCPA) , Porto Alegre, Brazil MSc Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Rodrigo Leal-Menezes Nórton Luís Oliveira 2 LADD Lab, Hospital de Clínicas de Porto Alegre (HCPA) , Porto Alegre, Brazil PhD Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Nórton Luís Oliveira Lucineia Orsolin Pfeifer 2 LADD Lab, Hospital de Clínicas de Porto Alegre (HCPA) , Porto Alegre, Brazil ScD Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Lucineia Orsolin Pfeifer Leandro dos Santos 1 Universidade Federal do Rio Grande do Sul (UFRGS) , Porto Alegre, Brazil ScD Find this author on Google Scholar Find this author on PubMed Search for this author on this site Lucas Porto Santos 4 Universidade de São Paulo (USP) , São Paulo, Brazil ScD Find this author on Google Scholar Find this author on PubMed Search for this author on this site Larissa Xavier Neves da Silva 2 LADD Lab, Hospital de Clínicas de Porto Alegre (HCPA) , Porto Alegre, Brazil ScD Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Larissa Xavier Neves da Silva Luciana dos Passos e Silva 1 Universidade Federal do Rio Grande do Sul (UFRGS) , Porto Alegre, Brazil 2 LADD Lab, Hospital de Clínicas de Porto Alegre (HCPA) , Porto Alegre, Brazil MSc. Find this author on Google Scholar Find this author on PubMed Search for this author on this site Frederico Moraes Schwingel 2 LADD Lab, Hospital de Clínicas de Porto Alegre (HCPA) , Porto Alegre, Brazil 5 Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS) , Porto Alegre, Brazil Find this author on Google Scholar Find this author on PubMed Search for this author on this site Carolina Weingärtner Welter 2 LADD Lab, Hospital de Clínicas de Porto Alegre (HCPA) , Porto Alegre, Brazil 6 Universidade Federal de Santa Maria (UFSM) , Santa Maria, Brazil Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Carolina Weingärtner Welter Daniel Umpierre 1 Universidade Federal do Rio Grande do Sul (UFRGS) , Porto Alegre, Brazil 2 LADD Lab, Hospital de Clínicas de Porto Alegre (HCPA) , Porto Alegre, Brazil ScD Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Daniel Umpierre For correspondence: danielumpierre{at}hcpa.edu.br Abstract Full Text Info/History Metrics Supplementary material Data/Code Preview PDF Abstract Importance Childhood and adolescent obesity are linked to health risks. Standardizing outcome measurements in physical activity interventions for this group can increase evidence comparability and foster knowledge translation. Objective The objective of our study is to summarize individual health outcomes reported in systematic reviews and classify individual outcomes under an existing taxonomy of health domains for the development of a Core Outcome Set. Data Sources A comprehensive search was conducted across seven databases (PubMed, EMBASE, ERIC, SportDiscus, Cochrane Database, PROSPERO and Google) from inception to January 2023. Study Selection Eligible studies were systematic reviews with or without meta-analyses involving children and adolescents aged 4 to 19 years, with overweight or obesity, reporting on health outcomes from interventions including physical activity. Data extraction and synthesis Data extraction was carried out by independent reviewers in pairs. It included publication year, country, study characteristics, intervention details, participants demographics and health outcomes. Outcomes were classified into taxonomy-based domains. Main outcomes and measures This review identified key outcomes related to body composition, lipid profile, blood pressure, and physical functioning. In body composition, the most frequent outcomes were BMI, body weight, and body fat. For lipid profile, the common outcomes included HDL, total cholesterol, and LDL. Blood pressure outcomes encompassed systolic and diastolic blood pressure. Physical functioning was primarily assessed by time spent in physical activity. Results From the 138 included reviews, we cumulatively extracted 845 outcomes, with the identification of 169 unique outcomes distributed along 16 domains. The highest cumulative frequencies was in General (with 255 outcomes), Physical Functioning (128) and Blood and Lymphatic System (118) domains. The most frequently reported unique outcomes were body mass index (BMI) (52.2% of the reviews), followed by body weight, body fat, high-density lipoprotein (HDL), and systolic blood pressure. Conclusions and relevance This study highlights the focus on body composition in reviews of physical activity interventions for children and adolescents with overweight or obesity, while other outcomes showed inconsistencies. Establishing a Core Outcome Set (COS) is key to standardizing outcomes and improving the effectiveness of interventions for better pediatric health. Question What are the main health outcomes for children and adolescents with overweight and obesity exposed to physical activity interventions? Findings In this umbrella review, including 138 studies, the main outcomes mentioned were related to body composition, lipid profile and blood pressure, covering over 370,000 trial participants. Meaning The outcomes found will serve for the development of a Core Outcome Set (COS), guiding new clinical trials, reducing inconsistencies and heterogeneity among possible future outcomes. Introduction Obesity in children and adolescents represents a global health issue 1 , 2 , increasing the risk of cardiometabolic 3 , 4 , physical and psychological conditions 5 – 9 . The World Health Organization (WHO) recommends to this population at least 60 minutes of moderate to vigorous physical activity daily, including muscle and bone strengthening activities at least three times a week 10 . Conversely, a global survey indicates that 4 out of 5 students aged 11 to 17 do not meet this guideline 11 , 12 . Numerous physical activity interventions have been assessed in clinical trials, reinforcing the importance of behavioral strategies to mitigate obesity’s impact 13 , 14 . The high heterogeneity of outcomes used in physical activity programs can hinder comparative analysis and evidence synthesis among the existing interventions. A review of 137 studies was unable to provide a comprehensive synthesis due to the high variability in outcome measures, which hindered the interpretation of the interventions’ impact on the physical fitness of students 15 . A solution to minimize this inconsistency is through a Core Outcome Set (COS), which is a standardized group of outcomes for a given intervention and population, therefore increasing comparability across clinical trials. This process involves the engagement of relevant stakeholders and a comprehensive approach to selecting important outcomes 16 – 18 . Such need is exemplified by the highlight of critical outcomes for studies in children and adolescents aged 5 to 17 by the WHO 10 , emphasizing the importance of a coordinated selection process for future trials. Therefore, we aimed to summarize and classify outcomes reported in systematic reviews, seeking to inform the development of a COS for physical activity interventions for children and adolescents. Our objectives were 1) to describe individual health outcomes reported in reviews; and 2) to classify the individual outcomes under an existing taxonomy of health domains 19 . Methods This study is designed as an umbrella review encompassing systematic reviews with or without meta-analyses. The present work was registered in the International Prospective Register of Systematic Reviews (PROSPERO database) (CRD42019120334). The protocol, following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis Protocols – PRISMA-P 20 , materials, and data are available at the Open Science Framework ( https://osf.io/7vaw5/ ). The study reporting follows the PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses 21 . That were three protocol deviations: 1) expanding the age range by one year at the low and high limits to avoid excluding studies that encompass the population of interest, given the variability in school-age representation across the studies; 2) restricting the population to children and adolescents with overweight or obesity to generate more specific evidence; 3) the exclusion of cognitive outcomes due to the consensus among the reviewers of the update not considering these outcomes as health outcomes. Eligibility Criteria Inclusion criteria were: 1) reports written in English, Portuguese or Spanish; 2) systematic reviews with or without meta-analysis of intervention studies (randomized or nonrandomized, controlled or non-controlled); 3) samples including children and adolescents with overweight or obesity (from 4 to 19 years old), healthy or at risk/diagnosis of cardiometabolic diseases; 4) included health lifestyle interventions with physical activity component (e.g., exercise, leisure-time physical activity, counseling, parent participation) with a duration of at least four weeks; 5) report any health outcome measured in children or adolescents. Information Sources A search was conducted across five databases for indexed full-text publications (PubMed, EMBASE, ERIC, SportDiscus, Cochrane Database). Google Scholar and PROSPERO were databases used to retrieve non-published or non-retrieved literature (grey literature). The search period was from inception to January 2023, except for PROSPERO registration records, in which we carried out searches up to February 2024. Literature search strategies were developed using Medical Subject Headings (MeSH) and keywords. The full-search strategies for all databases are available in the Supporting Information (eTable 1). Study Selection At first, the entire review process was conducted by three pairs of independent reviewers (CEB, LPS, ADN, LOP, LS, LXNS). The authors’ pairs screened the titles and abstracts yielded by the search based on the eligibility criteria. In the second stage, four pairs of independent researchers (FDM, LXNS, TSA, JF, ACI, LPS, CWW) conducted the study selection. A pilot screening of 100 articles was carried out to standardize the eligibility criteria in these two moments. After that, the reviewer pairs independently retrieved and assessed full texts of potentially eligible studies. The same reviewer pairs screened the full-text reports and made individual decisions on eligibility. Any discordance was solved by consensus and, in case of discordances, a third reviewer’s opinion was requested (DU). The articles assessed at the full text level are available in the Supporting Information (eTable 2). Definition of Outcomes and Domains The definition of domain, outcome and outcome measure was based on Sinha et al. 22 . The domain is a relatively broad aspect (e.g., cardiac) of the effect of a condition (e.g., overweight/obesity) on a population (e.g., children/adolescents), within which an improvement may occur in response to an intervention (e.g., physical activity). In general, these domains may not be directly measurable themselves, so outcomes are selected to assess change within the domains. The outcome is a measurable variable (e.g., systolic blood pressure) within a domain. In contrast, the outcome measure is a scale, scoring system, questionnaire, or other tools (e.g., office blood pressure measurement) used for measuring an outcome. The domains were pre-defined according to a taxonomy developed for outcomes in medical research 19 . The taxonomy comprises 38 outcomes domains, according to five core areas: mortality; physiological or clinical (e.g., endocrine, cardiac, psychiatric, musculoskeletal); life impact (e.g., physical functioning, social functioning, global quality of life); resource use (e.g., economic, societal/carer burden); adverse events. Data Extraction Process Initially, three pairs of authors (CEB, NLO, ATDN, LOP, GC, LXNS) independently pilot-tested the extraction form for three included papers to ensure consistency in the interpretation of items and to generate internal definitions and improvements to the form components. Data extraction from the included studies was carried out on a standardized coded sheet. Subsequently, during the update phase, five pairs of independent reviewers (FDM, LXNS, ACI, JPSC, RLM, TSL, FMS, YFS, CWW, LPS) conducted a pilot with 10 papers to ensure standardization and consistency in the interpretation of items. This process aimed to enhance the quality and reliability of data extraction, contributing to a more robust and comparable analysis of the included studies. In this context, a total of 24 items were extracted, with key elements including: 1) year and country of publication; 2) the number of studies and participants included; 3) characteristics of interventions; 4) intervention settings; 5) participants characteristics (such as age, sex, presence of overweight/obesity or other cardiometabolic diseases); 6) health outcomes considered in the reviews; and 7) measuring instruments. The outcomes were extracted as indicated in the included reviews. Due to inconsistent or generic definitions of outcomes across several studies, the more specific description of the outcomes was also extracted, typically found in the methods and outcome measure sections. For instance, while authors identified the primary outcome as “adiposity”, the assessed outcome was specifically “abdominal fat” measured by “densitometry”. In such cases, both the broader outcome information, as described by the authors in the introduction and objectives (“adiposity”), and the more specific description in the methods (“abdominal fat”) were extracted. Both descriptions of outcomes are listed for each review in the Supporting Information (eTable 3). To clarify the scope of this umbrella review, we focused on the outcomes of interest identified in the included reviews, rather than encompassing all outcomes investigated by the primary studies. For example, a systematic review synthesizing the effects of physical activity on blood pressure might have included primary studies evaluating diverse outcomes such as cognitive function, body composition or academic performance. However, if the review did not explicitly consider these additional outcomes, they were not taken into account in the present umbrella review. Data Synthesis and Analysis The extracted data were analyzed through descriptive statistics, treated into two different levels. Initially, the computation involved the number of reviews investigating a unique outcome. Additionally, the total number of outcomes observed across reviews was calculated by summing the number of reviews for each unique outcome. Subsequently, outcomes were grouped into domains according to the taxonomy developed for outcomes in medical research 19 . The outcomes were allocated to the domain of greatest affinity, according to the concept and examples described by the Core Outcome Measures in Effectiveness Trials – COMET initiative 18 . The percentage frequency of unique outcomes or domains was relative to the total number of outcomes observed. Results Search Results After excluding 3,446 duplicates, 19,233 articles were reviewed at the first stage of eligibility criteria assessment, with 18,263 being excluded after screening titles and abstracts ( Figure 1 ). Among 970 full texts assessed (eTable 2), 138 were eligible and included in the qualitative analysis. This subset comprised 49 systematic reviews and 89 systematic reviews with meta-analysis, involving 371,553 participants in 1,219 clinical trials (eTable 4). Download figure Open in new tab Figure 1. Identification and selection of articles Study Characteristics Participants were school-aged children and adolescents, aged four to 19 years old. Ten reviews included trials assessing only children, 17 focused solely on adolescents, 78 assessed both age groups, and 33 assessed children or adolescents with family involvement. All reviews summarized trials that included children or adolescents with overweight or obesity, whereas 48 (34.7%) reviews also included trials that recruited participants with normal weight. Moreover, all reviews summarized studies with participants of both sexes, with the exception of one review that considered only females. Trial interventions involved the delivery of physical activity, educational and behavioral approaches, or dietary approaches combined with physical activity. The interventions were carried out in schools, clinics, summer camps, communities, homes, hospitals, universities, primary and secondary health care. The characteristics of the reviews are available in the Supporting Information (eTable 5). Health Outcomes and Domains From the 138 included reviews, we cumulatively extracted 845 outcomes. These outcomes often overlapped across the reviews and were subsequently grouped into 169 unique outcomes, which represent distinct conceptual categories. This classification was organized into 16 domains according to an established taxonomy (eTable 6). The three most frequent domains were, respectively, ‘Endocrine’ (39 outcomes), ‘Physical Functioning’ (28 outcomes), and ‘Emotional Functioning/Wellbeing’ (18 outcomes). On the other hand, the less frequent domains were, respectively, ‘Perceived Health Status’, ‘Delivery of Care’ (each domain having 3 to 4 outcomes), and overall ‘Psychiatric’ and ‘Global Quality of Life’ (2 outcomes). A total of 19 out of 169 outcomes were summarized in at least 10 reviews ( Table 1 ). In this regard, body mass index (BMI) (n = 72; 52.2% of the reviews) was the outcome most largely used, followed by body weight (n = 39; 28.3%), body fat (n = 34; 24.6%) high-density lipoprotein (HDL cholesterol) (n = 31; 22.5%) and systolic blood pressure (n = 31; 22.5%). Although the ‘Endocrine’ domain showed the highest number of outcomes (39 outcomes), the ‘General’ domain included a variety of outcomes that together totalized a larger (n = 255) cumulative frequency. View this table: View inline View popup Download powerpoint Table 1. Frequencies of unique outcomes, domains, and subdomains (if any) for outcomes appearing in at least 10 systematic reviews. Discussion In this study, we systematically summarized outcomes assessed in systematic reviews of physical activity interventions in children and/or adolescents with overweight or obesity. Based on the 138 eligible reviews, we identified a total of 845 outcomes, comprising 169 unique ones, distributed into 16 domains. When analyzing the most relevant domain (General), outcomes related to body composition were cumulatively observed 255 times (30%) across the reviews. Meanwhile, the second most frequent domain (Physical Functioning) showed 128 outcomes (15%) related to physical function and fitness. Following this, the domains ‘Blood and Lymphatic System’, ‘Endocrine’ and ‘Cardiac’ were identified, representing 14%, 13.8% and 11% of the studies, respectively. BMI is a simple, low-cost, and widely used anthropometric measure to detect overweight and obesity among several population subgroups. In our study, 1 out of 2 systematic reviews (n = 72; 52.2%) used BMI as an outcome in their syntheses. However, it is important to highlight its limitations to measure body fatness 23 . In children aged 6 to 14 years old, waist-to-height ratio could identify increased LDL cholesterol levels in children who would not be classified as overweight by the WHO BMI standard 24 , 25 . Although both measures are useful in assessing overweight or obesity, we observed that only few reviews assessed waist-to-height ratio as an outcome, despite its diagnostic usefulness to characterize cardiometabolic risk factors in children 26 . We highlight that WHO guidelines on physical activity and sedentary behavior recently classified adiposity outcomes as critical for children and adolescents aged 5 to 17 10 . However, it is worth questioning whether body composition should be prioritized as the primary domain when selecting outcomes for physical activity programs for children with overweight or obesity. This consideration is particularly relevant given that the benefits of physical activity may extend beyond body composition, including improvements in cardiometabolic health, motor skills, and other physical and psychological domains. A broader perspective on outcome selection could provide a more comprehensive assessment of programs tailored for children or adolescents. Although all interventions in this review included a physical activity component, only few studies reported outcomes related to either time spent in physical activity or sedentary behavior. Importantly, children and adolescents with obesity are 20 to 30% less physically active and present lower physical fitness 27 – 29 compared to their peers without obesity 30 – 33 . Given the WHO’s emphasis on the role of physical activity in improving several health outcomes and reducing obesity risk 34 , 35 , measures related to physical activity itself or sedentary behavior should be considered in future studies. Likewise, we emphasize that psychological and social outcomes were scarcely explored in the included systematic reviews, especially in the ‘Psychiatric’ and ‘Social Functioning’ domains. Therefore, outcomes related to depressive symptoms, anxiety, social acceptance, and body dissatisfaction could be further considered in clinical trials, since there is evidence showing their importance in children and adolescents with overweight or obesity 8 , 9 . Some studies have assessed whether obesity is associated with the cognitive function of children and adolescents 7 , 36 . Lastly, current evidence has shown the importance of social support or parents’ engagement in physical activities for their children’s behavior, as well as parental involvement in weight control and engagement in lifestyle strategies 37 – 39 . Although some studies have designed interventions with parental participation, only few assess outcomes related to parents’ or family aspects. Since, children and adolescents may rely on family support to engage and maintain health intervention, exploring parental and family outcomes, both related or not to physical activity, seems important in future research. Building upon this need for standardized evaluations, domains are proposed by the COS developers, based on a summary of outcomes presented in the literature and consensus from stakeholders 16 . Similar studies with the pediatric population have abandoned the use of taxonomy and classified their outcomes using their own system 13 , 40 . To our knowledge, our study is a primary comprehensive synthesis of outcomes investigated in physical activity interventions for overweight/obese children and adolescents. The present review intends to inform a future COS, which requires other stages such as collecting outcomes from stakeholders, undertaking Delphi rounds, and convening a diverse panel to reach consensus in a COS 41 – 43 . As outcomes may vary and be sensible to specific age ranges, it is reasonable that a COS development will need to consider children and adolescents separately. More importantly, the adoption of a COS would allow standardizing outcomes in future studies, providing a more consistent and comparable assessment of physical activity interventions for this population. Limitations Some limitations should be considered in our study. Classifying outcomes into domains was challenging because the implemented taxonomy 19 was created for trials. Since we analyzed systematic reviews, which do not provide such detailed descriptions of outcomes, the classification was more imprecise than we anticipated. Similarly, it was created based on clinical conditions, disregarding outcomes that would be important for pediatric work, such as parental information. As a result, our description of outcomes is limited to broader terms. The wide age range considered in our meta-epidemiological assessment may require further data filtering if a future COS development occurs apart for children and adolescents. Conclusion This umbrella review presents a high number of domains and outcomes used in studies with physical activity interventions for children and adolescents with overweight or obesity. While body composition outcomes were quite frequent, other outcomes related to physical activity, mental health, and social aspects were largely underexplored. This review informs the development of a future COS that may increase the standardization and comparability across trials of physical activity interventions for these populations. Data Availability The data for this study are available on the Open Science Framework Platform ( https://osf.io/7vaw5/ ) https://osf.io/7vaw5/ Author Contributions Dr. Umpierre, Dr. Botton and Msc. Massierer had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. Concept and design: Umpierre, Botton and Massierer. Study Selection and Data Extraction: Massierer, Button, Carvalho, Cassão, De Nardi, Fetter, Ignacio, Leal-Menezes, Oliveira, Pfeifer, Santos, dos Santos, Silva, Passos, Schwingel, and Welter. Acquisition, analysis, or interpretation of data: Umpierre, Massierer, Botton, Silva, and Oliveira. Drafting the manuscript: Umpierre, Massierer, and Botton. Conflict of Interest Disclosures None reported. Funding/Support The project was hosted at the Hospital de Clínicas de Porto Alegre (Porto Alegre, Brazil). All researchers received funding from the Coordenação de aperfeiçoamento de Pessoal de Nível Superior (CAPES, Brazil). Data Sharing Statement The data for this study are available on the Open Science Framework Platform ( https://osf.io/7vaw5/ ) Acknowledgement REFERÊNCIAS 1. ↵ Jebeile H , Kelly AS , O’Malley G , Baur LA . Obesity in children and adolescents: epidemiology, causes, assessment, and management . Lancet Diabetes Endocrinol . 2022 ; 10 ( 5 ): 351 – 365 . doi: 10.1016/S2213-8587(22)00047-X OpenUrl CrossRef PubMed 2. ↵ Di Cesare M , Sorić M , Bovet P , et al. The epidemiological burden of obesity in childhood: a worldwide epidemic requiring urgent action . BMC Med . 2019 ; 17 ( 1 ): 212 . doi: 10.1186/s12916-019-1449-8 OpenUrl CrossRef PubMed 3. ↵ Hu K , Staiano AE . Trends in Obesity Prevalence Among Children and Adolescents Aged 2 to 19 Years in the US From 2011 to 2020 . JAMA Pediatr . 2022 ; 176 ( 10 ): 1037 – 1039 . doi: 10.1001/jamapediatrics.2022.2052 OpenUrl CrossRef PubMed 4. ↵ Lee EY , Yoon KH . Epidemic obesity in children and adolescents: risk factors and prevention . Front Med . 2018 ; 12 ( 6 ): 658 – 666 . doi: 10.1007/s11684-018-0640-1 OpenUrl CrossRef PubMed 5. ↵ Obesity: preventing and managing the global epidemic . Report of a WHO consultation . World Health Organ Tech Rep Ser . 2000 ; 894 : i – xii , 1-253. OpenUrl PubMed 6. Harriger JA , Thompson JK . Psychological consequences of obesity: weight bias and body image in overweight and obese youth . Int Rev Psychiatry Abingdon Engl . 2012 ; 24 ( 3 ): 247 – 253 . doi: 10.3109/09540261.2012.678817 OpenUrl CrossRef PubMed 7. ↵ Meo SA , Altuwaym AA , Alfallaj RM , et al. Effect of Obesity on Cognitive Function among School Adolescents: A Cross-Sectional Study . Obes Facts . 2019 ; 12 ( 2 ): 150 – 156 . doi: 10.1159/000499386 OpenUrl CrossRef PubMed 8. ↵ Flores-Cornejo F , Kamego-Tome M , Zapata-Pachas MA , Alvarado GF . Association between body image dissatisfaction and depressive symptoms in adolescents . Rev Bras Psiquiatr Sao Paulo Braz 1999 . 2017 ; 39 ( 4 ): 316 – 322 . doi: 10.1590/1516-4446-2016-1947 OpenUrl CrossRef 9. ↵ Shin NY , Shin MS . Body Dissatisfaction, Self-Esteem, and Depression in Obese Korean Children . J Pediatr . 2008 ; 152 ( 4 ): 502 – 506 . doi: 10.1016/j.jpeds.2007.09.020 OpenUrl CrossRef PubMed Web of Science 10. ↵ World Health Organization . WHO Guidelines on Physical Activity and Sedentary Behaviour: Web Annex: Evidence Profiles . World Health Organization ; 2020 . Accessed March 7, 2023. https://apps.who.int/iris/handle/10665/336657 11. ↵ Barlow SE , and the Expert Committee . Expert Committee Recommendations Regarding the Prevention, Assessment, and Treatment of Child and Adolescent Overweight and Obesity: Summary Report . Pediatrics . 2007 ; 120 ( Supplement_4 ): S164 – S192 . doi: 10.1542/peds.2007-2329C OpenUrl CrossRef PubMed Web of Science 12. ↵ Guthold R , Stevens GA , Riley LM , Bull FC . Global trends in insufficient physical activity among adolescents: a pooled analysis of 298 population-based surveys with 1·6 million participants . Lancet Child Adolesc Health . 2020 ; 4 ( 1 ): 23 – 35 . doi: 10.1016/S2352-4642(19)30323-2 OpenUrl CrossRef PubMed 13. ↵ Ram B , Foley KA , van Sluijs E , Hargreaves DS , Viner RM , Saxena S . Developing a core outcome set for physical activity interventions in primary schools: a modified-Delphi study . BMJ Open . 2022 ; 12 ( 9 ): e061335 . doi: 10.1136/bmjopen-2022-061335 OpenUrl Abstract / FREE Full Text 14. ↵ Brown V , Moodie M , Sultana M , et al. Core outcome set for early intervention trials to prevent obesity in childhood (COS-EPOCH): Agreement on “what” to measure . Int J Obes 2005 . 2022 ; 46 ( 10 ): 1867 – 1874 . doi: 10.1038/s41366-022-01198-w OpenUrl CrossRef 15. ↵ Neil-Sztramko SE , Caldwell H , Dobbins M . School-based physical activity programs for promoting physical activity and fitness in children and adolescents aged 6 to 18 . Cochrane Database Syst Rev . 2021 ; 9 ( 9 ): CD007651 . doi: 10.1002/14651858.CD007651.pub3 OpenUrl CrossRef PubMed 16. ↵ Kirkham JJ , Gorst S , Altman DG , et al. COS-STAR: a reporting guideline for studies developing core outcome sets (protocol) . Trials . 2015 ; 16 ( 1 ): 373 . doi: 10.1186/s13063-015-0913-9 OpenUrl CrossRef PubMed 17. Boers M , Kirwan JR , Wells G , et al. Developing core outcome measurement sets for clinical trials: OMERACT filter 2.0 . J Clin Epidemiol . 2014 ; 67 ( 7 ): 745 – 753 . doi: 10.1016/j.jclinepi.2013.11.013 OpenUrl CrossRef PubMed 18. ↵ COMET Initiative | Home . Accessed March 8, 2024 . https://www.comet-initiative.org/ 19. ↵ Dodd S , Clarke M , Becker L , Mavergames C , Fish R , Williamson PR . A taxonomy has been developed for outcomes in medical research to help improve knowledge discovery . J Clin Epidemiol . 2018 ; 96 : 84 – 92 . doi: 10.1016/j.jclinepi.2017.12.020 OpenUrl CrossRef PubMed 20. ↵ Shamseer L , Moher D , Clarke M , et al. Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015: elaboration and explanation . BMJ . 2015 ; 350 : g7647 . doi: 10.1136/bmj.g7647 OpenUrl CrossRef PubMed 21. ↵ Liberati A , Altman DG , Tetzlaff J , et al. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration . J Clin Epidemiol . 2009 ; 62 ( 10 ): e1 – 34 . doi: 10.1016/j.jclinepi.2009.06.006 OpenUrl CrossRef PubMed 22. ↵ Sinha I , Jones L , Smyth RL , Williamson PR . A systematic review of studies that aim to determine which outcomes to measure in clinical trials in children . PLoS Med . 2008 ; 5 ( 4 ): e96 . doi: 10.1371/journal.pmed.0050096 OpenUrl CrossRef PubMed 23. ↵ Prentice AM , Jebb SA . Beyond body mass index . Obes Rev Off J Int Assoc Study Obes . 2001 ; 2 ( 3 ): 141 – 147 . doi: 10.1046/j.1467-789x.2001.00031.x OpenUrl CrossRef PubMed 24. ↵ Lee CMY , Huxley RR , Wildman RP , Woodward M . Indices of abdominal obesity are better discriminators of cardiovascular risk factors than BMI: a meta-analysis . J Clin Epidemiol . 2008 ; 61 ( 7 ): 646 – 653 . doi: 10.1016/j.jclinepi.2007.08.012 OpenUrl CrossRef PubMed Web of Science 25. ↵ Savva SC , Tornaritis M , Savva ME , et al. Waist circumference and waist-to-height ratio are better predictors of cardiovascular disease risk factors in children than body mass index . Int J Obes Relat Metab Disord J Int Assoc Study Obes . 2000 ; 24 ( 11 ): 1453 – 1458 . doi: 10.1038/sj.ijo.0801401 OpenUrl CrossRef PubMed Web of Science 26. ↵ Kuba VM , Leone C , Damiani D . Is waist-to-height ratio a useful indicator of cardio-metabolic risk in 6-10-year-old children? BMC Pediatr . 2013 ; 13 ( 1 ): 91 . doi: 10.1186/1471-2431-13-91 OpenUrl CrossRef PubMed 27. ↵ Bovet P , Auguste R , Burdette H . Strong inverse association between physical fitness and overweight in adolescents: a large school-based survey . Int J Behav Nutr Phys Act . 2007 ; 4 : 24 . doi: 10.1186/1479-5868-4-24 OpenUrl CrossRef PubMed 28. Lee PF , Ho CC , Kan NW , et al. The Association between Physical Fitness Performance and Abdominal Obesity Risk among Taiwanese Adults: A Cross-Sectional Study . Int J Environ Res Public Health . 2020 ; 17 ( 5 ): 1722 . doi: 10.3390/ijerph17051722 OpenUrl CrossRef PubMed 29. ↵ Gulías-González R , Martínez-Vizcaíno V , García-Prieto JC , Díez-Fernández A , Olivas-Bravo A , Sánchez-López M . Excess of weight, but not underweight, is associated with poor physical fitness in children and adolescents from Castilla-La Mancha, Spain . Eur J Pediatr . 2014 ; 173 ( 6 ): 727 – 735 . doi: 10.1007/s00431-013-2233-y OpenUrl CrossRef PubMed 30. ↵ Trost SG , Kerr LM , Ward DS , Pate RR . Physical activity and determinants of physical activity in obese and non-obese children . Int J Obes Relat Metab Disord J Int Assoc Study Obes . 2001 ; 25 ( 6 ): 822 – 829 . doi: 10.1038/sj.ijo.0801621 OpenUrl CrossRef 31. Strong WB , Malina RM , Blimkie CJR , et al. Evidence based physical activity for school-age youth . J Pediatr . 2005 ; 146 ( 6 ): 732 – 737 . doi: 10.1016/j.jpeds.2005.01.055 OpenUrl CrossRef PubMed Web of Science 32. Vandewater EA , Shim M suk , Caplovitz AG . Linking obesity and activity level with children’s television and video game use . J Adolesc . 2004 ; 27 ( 1 ): 71 – 85 . doi: 10.1016/j.adolescence.2003.10.003 OpenUrl CrossRef PubMed Web of Science 33. ↵ Janssen I , Katzmarzyk PT , Boyce WF , King MA , Pickett W . Overweight and obesity in Canadian adolescents and their associations with dietary habits and physical activity patterns . J Adolesc Health Off Publ Soc Adolesc Med . 2004 ; 35 ( 5 ): 360 – 367 . doi: 10.1016/j.jadohealth.2003.11.095 OpenUrl CrossRef 34. ↵ Poitras VJ , Gray CE , Borghese MM , et al. Systematic review of the relationships between objectively measured physical activity and health indicators in school-aged children and youth . Appl Physiol Nutr Metab Physiol Appl Nutr Metab . 2016 ; 41 ( 6 Suppl 3 ): S197 – 239 . doi: 10.1139/apnm-2015-0663 OpenUrl CrossRef PubMed 35. ↵ U.S. Department of Health and Human Services . 2018 Physical Activity Guidelines Advisory Committee Scientific Report . Published online 2018 . 36. ↵ Mamrot P , Hanć T . The association of the executive functions with overweight and obesity indicators in children and adolescents: A literature review . Neurosci Biobehav Rev . 2019 ; 107 : 59 – 68 . doi: 10.1016/j.neubiorev.2019.08.021 OpenUrl CrossRef PubMed 37. ↵ Butler ÉM , Suhag A , Hong Y , et al. Parental Perceptions of Obesity in School Children and Subsequent Action . Child Obes Print . 2019 ; 15 ( 7 ): 459 – 467 . doi: 10.1089/chi.2018.0338 OpenUrl CrossRef 38. Petersen TL , Møller LB , Brønd JC , Jepsen R , Grøntved A . Association between parent and child physical activity: a systematic review . Int J Behav Nutr Phys Act . 2020 ; 17 ( 1 ): 67 . doi: 10.1186/s12966-020-00966-z OpenUrl CrossRef PubMed 39. ↵ Bean MK , Caccavale LJ , Adams EL , et al. Parent Involvement in Adolescent Obesity Treatment: A Systematic Review . Pediatrics . 2020 ; 146 ( 3 ): e20193315 . doi: 10.1542/peds.2019-3315 OpenUrl CrossRef PubMed 40. ↵ Lei R , Shen Q , Yang B , et al. Core Outcome Sets in Child Health: A Systematic Review . JAMA Pediatr . 2022 ; 176 ( 11 ): 1131 – 1141 . doi: 10.1001/jamapediatrics.2022.3181 OpenUrl CrossRef PubMed 41. ↵ Chiarotto A , Ostelo RW , Turk DC , Buchbinder R , Boers M . Core outcome sets for research and clinical practice . Braz J Phys Ther . 2017 ; 21 ( 2 ): 77 – 84 . doi: 10.1016/j.bjpt.2017.03.001 OpenUrl CrossRef PubMed 42. Williamson PR , Altman DG , Bagley H , et al. The COMET Handbook: version 1.0 . Trials . 2017 ; 18 ( Suppl 3 ): 280 . doi: 10.1186/s13063-017-1978-4 OpenUrl CrossRef PubMed 43. ↵ Sinha IP , Smyth RL , Williamson PR . Using the Delphi Technique to Determine Which Outcomes to Measure in Clinical Trials: Recommendations for the Future Based on a Systematic Review of Existing Studies . PLOS Med . 2011 ; 8 ( 1 ): e1000393 . doi: 10.1371/journal.pmed.1000393 OpenUrl CrossRef PubMed View the discussion thread. Back to top Previous Next Posted January 22, 2025. Download PDF Supplementary Material Data/Code Email Thank you for your interest in spreading the word about medRxiv. NOTE: Your email address is requested solely to identify you as the sender of this article. Your Email * Your Name * Send To * Enter multiple addresses on separate lines or separate them with commas. 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Share Health outcomes in children and adolescents with overweight or obesity exposed to physical activity interventions: an umbrella review covering over 1,200 trials Fernanda Dias Massierer , Cíntia Ehlers Botton , Jessica Pietra da Silva Carvalho , Gisele Cassão , Angélica Trevisan De Nardi , Jayne Feter , Andresa Conrado Ignacio , Rodrigo Leal-Menezes , Nórton Luís Oliveira , Lucineia Orsolin Pfeifer , Leandro dos Santos , Lucas Porto Santos , Larissa Xavier Neves da Silva , Luciana dos Passos e Silva , Frederico Moraes Schwingel , Carolina Weingärtner Welter , Daniel Umpierre medRxiv 2025.01.21.25320866; doi: https://doi.org/10.1101/2025.01.21.25320866 Share This Article: Copy Citation Tools Health outcomes in children and adolescents with overweight or obesity exposed to physical activity interventions: an umbrella review covering over 1,200 trials Fernanda Dias Massierer , Cíntia Ehlers Botton , Jessica Pietra da Silva Carvalho , Gisele Cassão , Angélica Trevisan De Nardi , Jayne Feter , Andresa Conrado Ignacio , Rodrigo Leal-Menezes , Nórton Luís Oliveira , Lucineia Orsolin Pfeifer , Leandro dos Santos , Lucas Porto Santos , Larissa Xavier Neves da Silva , Luciana dos Passos e Silva , Frederico Moraes Schwingel , Carolina Weingärtner Welter , Daniel Umpierre medRxiv 2025.01.21.25320866; doi: https://doi.org/10.1101/2025.01.21.25320866 Citation Manager Formats BibTeX Bookends EasyBib EndNote (tagged) EndNote 8 (xml) Medlars Mendeley Papers RefWorks Tagged Ref Manager RIS Zotero Tweet Widget Facebook Like Google Plus One Subject Area Pediatrics Subject Areas All Articles Addiction Medicine (568) Allergy and Immunology (863) Anesthesia (299) Cardiovascular Medicine (4423) Dentistry and Oral Medicine (443) Dermatology (382) Emergency Medicine (607) Endocrinology (including Diabetes Mellitus and Metabolic Disease) (1507) Epidemiology (15219) Forensic Medicine (30) Gastroenterology (1123) Genetic and Genomic Medicine (6587) Geriatric Medicine (667) Health Economics (997) Health Informatics (4524) Health Policy (1368) Health Systems and Quality Improvement (1612) Hematology (540) HIV/AIDS (1264) Infectious Diseases (except HIV/AIDS) (15910) Intensive Care and Critical Care Medicine (1103) Medical Education (623) Medical Ethics (145) Nephrology (667) Neurology (6588) Nursing (345) Nutrition (998) Obstetrics and Gynecology (1143) Occupational and Environmental Health (956) Oncology (3331) Ophthalmology (970) Orthopedics (369) Otolaryngology (420) Pain Medicine (435) Palliative Medicine (129) Pathology (663) Pediatrics (1690) Pharmacology and Therapeutics (691) Primary Care Research (710) Psychiatry and Clinical Psychology (5438) Public and Global Health (9218) Radiology and Imaging (2195) Rehabilitation Medicine and Physical Therapy (1369) Respiratory Medicine (1195) Rheumatology (593) Sexual and Reproductive Health (709) Sports Medicine (529) Surgery (709) Toxicology (99) Transplantation (289) Urology (265) (function(){function c(){var b=a.contentDocument||a.contentWindow.document;if(b){var d=b.createElement('script');d.innerHTML="window.__CF$cv$params={r:'9ff807db5ab44807',t:'MTc3OTQxMzE2NQ=='};var a=document.createElement('script');a.src='/cdn-cgi/challenge-platform/scripts/jsd/main.js';document.getElementsByTagName('head')[0].appendChild(a);";b.getElementsByTagName('head')[0].appendChild(d)}}if(document.body){var a=document.createElement('iframe');a.height=1;a.width=1;a.style.position='absolute';a.style.top=0;a.style.left=0;a.style.border='none';a.style.visibility='hidden';document.body.appendChild(a);if('loading'!==document.readyState)c();else if(window.addEventListener)document.addEventListener('DOMContentLoaded',c);else{var e=document.onreadystatechange||function(){};document.onreadystatechange=function(b){e(b);'loading'!==document.readyState&&(document.onreadystatechange=e,c())}}}})();
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