Conclusions. The sensitivity and positive predictive value are generally more concerned than the specificity and negative predictive value in assessing and adjusting publication bias in meta-analyses. In this sense, Egger's regression can be recommended for its high sensitivity, while any positive result from Tang's method would suggest a probability of bias that should be taken seriously. Given the different patterns of the accuracy with the OR and the P1-P2 combination, a combination of Egger's regression and Tang's regression would be advisable. Further studies are needed to study the accuracy of methods used in combination. / Due to sampling error and true heterogeneity, a single study cannot provide a comprehensive picture and a precise estimate of, say the effectiveness of a treatment. Systematic reviews that identify and integrate relevant studies have become the most important scientific, quantitative method to summarize scientific research. Meta-analysis is the statistical method used in systematic reviews to combine results from individual studies. / However, due to selective submission and publication, not all relevant studies conducted, especially those unpublished studies with an insignificant negative result, are easily accessible to those who conduct reviews. As a result, the truth, say, the effect of a treatment, would be overestimated. This phenomenon is known as publication bias. A few methods for detecting the bias have been developed and used in meta-analyses. Although their accuracy has been studied, some important issues remain to be answered, such as when would a method be good enough for practical use and is it similarly good for different definitions of the odds ratio? / Methods. We conducted a simulation study to examine the accuracy of four commonly used bias-detection methods with various ORs and P1-P2 combinations. In a simulation study, the true bias status can be predetermined and thus be compared with the results of the bias-detection methods. The four methods are Egger's regression, funnel plot regression, rank correlation regression, and Tang's regression. Realistic sample size was used for simulating individual studies and the numbers of studies in a meta-analysis was also varied. Both the sensitivity and specificity are examined against the magnitude of the OR and the P1-P 2 combination to identify the ORs and P1-P 2 combinations for which a method is sufficiently accurate. Predictive values are also examined for the same reason and in the same manner. / Results. The sensitivity and positive predictive value are generally low and in particular when the OR is close to one for which publication bias is of a particular concern. Egger's regression has the highest sensitivity among the four, in particular when the OR is neither close to one nor exceptionally large or small. Due to the relatively lower specificity, the positive predictive value of Egger's regression is not as high as that for Tang's regression and funnel plot regression. Tang's regression and funnel plot regression are very similar in sensitivity, specificity and predictive values, with the former being slightly better. Rank correlation seems the least accurate method overall. Tang's regression has in general the highest positive predictive value among the four methods in particular when the OR is below one. / Chung Chi-keung. / "June 2006." / Adviser: Tang Jin Ling. / Source: Dissertation Abstracts International, Volume: 68-03, Section: B, page: 1588. / Thesis (Ph.D.)--Chinese University of Hong Kong, 2006. / Includes bibliographical references (p. 116-124). / Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Electronic reproduction. [Ann Arbor, MI] : ProQuest Information and Learning, [200-] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Abstracts in English and Chinese. / School code: 1307.

A clinical trial may have no subject (0%) or every subject (100%) developing the outcome of concern in either of the two comparison groups. This will cause a zero-cell in the four-cell (2x2) table of a trial using a binary outcome and make it impossible to estimate the odds ratio, a commonly used effect measure. A usual way to deal with this problem is to add 0.5 to each of the four cells in the 2x2 table. This is known as Haldane's approximation. In meta-analysis, Haldane's approximation can also be applied. Two approaches are possible: add 0.5 to only the trials with a zero cell or to all the trials in the meta-analysis. Little is known which approach is better when used in combination with different definitions of the odds ratio: the ordinary odds ratio, Peto's odds ratio and Mantel-Haenszel odds ratio. / A new formula is derived for converting Peto's odds ratio to the risk difference. The derived risk difference through the new method was then compared with the true risk difference and the risk difference derived by taking the Peto's odds ratio as the ordinary odds ratio. All simulations and analyses were conducted on the Statistical Analysis Software (SAS). / Conclusions. The estimated confidence interval of a meta-analysis would mostly exclude the truth if an inappropriate correction method is used to deal with zero cells. Counter-intuitively, the combined result of a meta-analysis will be worse as the number of studies included becomes larger. Mantel-Haenszel odds ratio without applying Haldane's approximation is recommended in general for dealing with sparse data in meta-analysis. The ordinary odds ratio with adding 0.5 to only the trials with a zero cell can be used when the trials are heterogeneous and the odds ratio is close to 1. Applying Haldane's approximation to all trials in a meta-analysis should always be avoided. Peto's odds ratio without Haldane's approximation can always be considered but the new formula should be used for converting Peto's odds ratio to the risk difference. / In addition, the odds ratio needs to be converted to a risk difference to aid decision making. Peto's odds ratio is preferable in some situations and the risk difference is derived by taking Peto's odds ratio as an ordinary odds ratio. It is unclear whether this is appropriate. / Methods. For studying the validity of Haldane's approximation, we defined 361 types of meta-analysis. Each type of meta-analysis is determined by a unique combination of the risk in the two compared groups and thus provides a unique true odds ratio. The number of trials in a meta-analysis is set at 5, 10 and 50 and the sample size of each trial in a meta-analysis varies at random but is made sufficiently small so that at least one trial in a meta-analysis will have a zero-cell. The number of outcome events in a comparison group of a trial is generated at random according to the pre-determined risk for that group. One thousand homogeneous meta-analyses and one thousand heterogeneous meta-analyses are simulated for each type of meta-analysis. Two Haldane's approximation approaches in addition to no approximation are evaluated for three definitions of the odds ratio. Thus, nine combined odds ratios are estimated for each type of meta-analysis and are all compared with the true odds ratio. The percentage of meta-analyses with the 95% confidence interval including the true odds ratio is estimated as the main index for validity of the correction methods. / Objectives. (1) We conducted a simulation study to examine the validity of Haldane's approximation as applied to meta-analysis, and (2) we derived and evaluated a new method to covert Peto's odds ratio to the risk difference, and compared it with the conventional conversion method. / Results. By using the true ordinary odds ratio, the percentage of meta-analyses with the confidence interval containing the truth was lowest (from 23.2% to 53.6%) when Haldane's approximation was applied to all the trials regardless the definition of the odds ratios used. The percentage was highest with Mantel-Haenszel odds ratio (95.0%) with no approximation applied. The validity of the corrections methods increases as the true odds ratio gets close to one, as the number of trials in a meta-analysis decreases, as the heterogeneity decreases and the trial size increases. / The proposed new formula performed better than the conventional method. The mean relative difference between the true risk difference and the risk difference obtained from the new formula is -0.006% while the mean relative difference between the true risk difference and the risk difference obtained from the conventional method is -10.9%. / The validity is relatively close (varying from 86.8% to 95.8%) when the true odds ratio is between 1/3 and 3 for all combinations of the correction methods and definitions of the odds ratio. However, Peto's odds ratio performed consistently best if the true Peto's odds ratio is used as the truth for comparison among the three definitions of the odds ratio regardless the correction method (varying from 88% to 98.7%). / Tam Wai-san Wilson. / "Jan 2006." / Adviser: J. L. Tang. / Source: Dissertation Abstracts International, Volume: 67-11, Section: B, page: 6488. / Thesis (Ph.D.)--Chinese University of Hong Kong, 2006. / Includes bibliographical references (p. 151-157). / Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Electronic reproduction. [Ann Arbor, MI] : ProQuest Information and Learning, [200-] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Abstracts in English and Chinese. / School code: 1307.

RB redactó el primer borrador del artículo y realizó la revisión final. EM redactó la versión presentada al comité editorial, elaboró las figuras del artículo, levantó las observaciones del comité editorial y redactó la versión final del artículo. AG realizó contribuciones al texto inicial, desarrolló la primera versión del resumen y revisó la versión final. GM realizó contribuciones al texto inicial, levantó las observaciones del comité editorial, realizó contribuciones al texto final y revisó la versión final. / Los estudios de síntesis (EDS): revisiones sistemáticas y metanálisis, son base para llevar a cabo las evaluaciones económicas en salud (EES). Los EDS, al permitir obtener parámetros para las probabilidades de estimación y de efectividad a partir de la combinación de resultados de estudios primarios y, al incluir en su metodología procesos de selección, evaluación, sistematización y síntesis, son considerados como el primer nivel de jerarquía en la evidencia científica. No obstante, pueden estar sometidos a sesgos y fallas metodológicas que afectan su validez. El presente artículo expone, inicialmente, la importancia de la aleatorización en la jerarquización de los diseños de investigación; luego se revisa los principales factores que afectan la validez de los EDS, incidiendo en el sesgo de publicación, la heterogeneidad y la inclusión de estudios primarios con objetivos principales distintos al del EDS; asimismo, se presenta a los estudios individuales como una alternativa válida para el desarrollo de una EES. Se concluye que uno de los aspectos claves en una EES es la selección adecuada de los tipos de estudio, sean estos primarios o secundarios. / Synthesis studies (SS): systematic review and meta-analysis are the basis for developing Health Economic Evaluations (HEE). SS allow us to obtain parameters for estimating probabilities and effectiveness from the combination of the results of primary studies, and, as they include in their methodology the selection, evaluation, systematization and synthesis processes, they are considered the first level of hierarchy in scientific evidence. Nevertheless, they can be prone to bias and methodological failures that can affect the validity of their results. This article initially presents the relevance of the randomization in the hierarchic classification of research designs, then it reviews the main factors affecting the validity of the SS, emphasising the publication bias, the heterogeneity and the inclusion of primary studies with main objective differing from the one of the SS. Moreover, it presents individual studies like a valid alternative for the development of a SS. The conclusion is that one of the key aspects in a SS is the correct evaluation of the study types and the objective evaluation of their quality, being these primary or secondary.

Background. The randomized controlled clinical trial is currently the most scientific method for evaluating the effect of medical interventions. The sample size of a trial is crucial for reliably estimating the effect. However, many clinical trials may not be sufficiently large in size to detect the effect of interventions assessed. Previous studies of the statistical power, a relative measure of the largeness of a study, were normally small, mainly examined trials with a statistically insignificant result and were flawed because of the biased or purely hypothetical estimate of the effect for the computation of the power. By using meta-analysis, we conducted this study with improved methods for estimating the power and included a larger number of trials. / Findings. A total of 2,923,912 patients from 2,872 clinical trials from 466 systematic reviews were included in the analyses of this thesis. Of the 466 systematic reviews, 24% (113) were identified from the five journals and the remaining 76% (353) were from the Cochrane Library. 1,000 trials and 1,583,204 patients were obtained from 113 systematic reviews identified in the journals, in which 13.7% (95% C.I.: 11.6%, 15.8%) of trials had a sufficient power and the overall power was 34.0% (95% C.I.: 33.7%, 34.3%). 1,872 trials and 1,340,708 patients were obtained from 353 systematic reviews identified in the Cochrane Library, in which 16.7% (95% C.I.: 15.0%, 18.4%) of trials had a sufficient power and the overall power was 37.8% (95% C.I.: 37.6%, 38.0%). (Abstract shortened by UMI.) / Methods. We identified trials from systematic reviews of clinical trials with binary outcomes published in five medical journals and the Cochrane Database of Systematic Reviews. We analyzed the power of trials with a significant result as well as those with an insignificant result. In estimating the power, we used the combined odds ratio of the meta-analysis as the estimate of the effect for trials from systematic reviews with a statistically significant result and a relative risk reduction of 25% for trials from systematic reviews with a statistically insignificant result. In addition to use of the conventional method to estimate the power, we also developed a new "counting method" that does not need any assumption about the effect. Furthermore, the power is also expressed as a relative and absolute difference between the number of subjects required for a power of 80% and that actually recruited by the trials. / Tsoi Kam Fai. / "July 2005." / Adviser: Jin Ling Tang. / Source: Dissertation Abstracts International, Volume: 67-01, Section: B, page: 0161. / Thesis (Ph.D.)--Chinese University of Hong Kong, 2005. / Includes bibliographical references (p. 107-113). / Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Electronic reproduction. [Ann Arbor, MI] : ProQuest Information and Learning, [200-] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Abstracts in English and Chinese. / School code: 1307.

Thesis (Ph. D.)--University of Texas Health Science Center at Houston, School of Public Health, 2008. / Source: Dissertation Abstracts International, Volume: 69-02, Section: B, page: 0769. Advisers: Claudia Pedroza; Asha S. Kapadia. Includes bibliographical references.

INTRODUÇÃO: A alta prevalência da obesidade infantil em diferentes partes do planeta a posiciona como um dos principais focos de atenção da saúde pública, conhecida a associação dos seus agravos às doenças cardiovasculares e à morte prematura. O objetivo do presente trabalho foi avaliar as intervenções escolares que se utilizam das práticas em atividade física e educação nutricional na antropometria e na pressão arterial de crianças e adolescentes. MÉTODOS: Os artigos foram recuperados por buscas sistemáticas em quatorze bases de dados eletrônicas e por busca manual em listas de referências, com atualização até 30 de setembro de 2012. Dois revisores independentes avaliaram os trabalhos e extraíram os dados. Os trabalhos deveriam atender adequadamente aos seguintes critérios de elegibilidade: população dos 6 aos 18 anos de idade; intervenções comunitárias randomizadas no ambiente escolar, fundamentadas nas práticas em atividade física ou educação nutricional, ou nas duas formas combinadas; presença de grupo controle em paralelo, com seguimento concomitante; descrição de pelo menos um dos desfechos: índice de massa corporal, peso corporal e pressão arterial. A meta-análise foi desenvolvida pelo modelo de efeito randômico, com diferença padronizada entre médias pelo método de Hedges. Também foi realizada a meta-análise de regressão para identificação das fontes de heterogeneidade entre os ensaios, envolvendo as variáveis tempo e tipo de intervenção, faixa etária e qualidade. O grau de heterogeneidade entre os estudos foi verificado pelas estatísticas Q de Cochran e I2, e o viés de publicação foi avaliado subjetivamente por meio da distribuição no gráfico funnel plot. RESULTADOS: Dos 5.899 trabalhos inicialmente recuperados, 140 tiveram seus dados extraídos e 60 remanesceram para a composição das sínteses, assim subdivididas: 12 em atividade física, 8 em educação nutricional e 40 com intervenção combinada. A análise das intervenções combinadas apresentou significância estatística a favor do grupo de intervenção no índice de massa corporal, com a magnitude e variabilidade na medida do efeito em diferença padronizada de -0,14 (IC95%: -0,24 a -0,03; p=0,01; n=29471; I2= 94,4%), ao contrário dos resultados obtidos nas duas intervenções em separado, que não foram conclusivos. No desfecho peso corporal, os resultados foram significantes nas intervenções em atividade física (-0,14; IC95%: -0,27 a -0,02; I2= 7,84%) e nas combinadas (-0,65; IC95%: -1,17 a -0,13; I2= 99,3%). As análises da pressão arterial não obtiveram resultados com significância estatística. O conjunto de todas as intervenções com dados em índice de massa corporal, incluindo 55 estudos, mostrou o resultado de -0,02 (IC95%: -0,03 a 0,00; I2= 94,5%), e nenhuma das covariáveis incluídas na meta-regressão, tempo de intervenção, qualidade metodológica do estudo e faixa etária da população mostrou significância para explicar a heterogeneidade observada. A análise de subgrupos mostrou redução do efeito no estrato por tempo de intervenção curto, de até quatro meses, com estimativa de -0,04 (IC95%: -0,06 a -0,03; I2= 96,6%), e na faixa etária dos seis aos dez anos, com estimativa de -0,23 (IC95%: -0,27 a -0,19; I2= 97,9%). CONCLUSÕES: As intervenções escolares que combinaram atividade física e educação nutricional mostraram redução do índice de massa corporal, ao contrário das intervenções que se utilizaram destes elementos em separado. Os efeitos positivos estão associados aos estudos com menor tempo entre as avaliações iniciais e finais e com as faixas populacionais mais jovens. A alta heterogeneidade observada compromete a validade externa dos resultados e sugere cautela quanto à capacidade de generalização para outras populações. / INTRODUCTION: Because of its high prevalence of in different parts of the planet childhood obesity is one of the main public health issues, with obesity worsening known to be associated with cardiovascular diseases and premature death. The aim of this study was to evaluate school interventions that use physical activity and nutrition education practices in anthropometric measurements and blood pressure in children and teenagers. METHODS: The articles were retrieved via a systematic search of fourteen electronic databases and manual search through reference lists updated until September 30, 2012. Two independent reviewers assessed studies and extracted data. The papers should meet the following eligibility criteria: population aged 6 to 18 years old; randomized community interventions targeting the school environment based on physical activity or nutrition education practices, or a combination of the two approaches; placebo- controlled parallel group and concomitant monitoring; description of at least one of the outcomes: body mass index, body weight and blood pressure. Random-effects meta-analysis was used, with Hedges\'g standardized mean differences. Also, meta-analysis was performed to identify sources of heterogeneity between trials, involving the variables such as duration and type of intervention, age group and quality. The degree of heterogeneity between studies was assessed using Cochran\'s Q statistics and I2 tests, and publication bias was subjectively assessed by a funnel plot. RESULTS: Of the 5,899 papers initially retrieved, 140 were data-extracted and 60 were used in synthesis, as follows: 12 in physical activity, 8 in nutrition education and 40 in combined intervention. Analysis of the combined interventions showed that BMI was statistically more significant in the combined intervention group, with magnitude and variability in the measure of the effect size in standardized difference of (-0.14; CI95%: -0.24 to -0.03; p=0.01; n=29471; I2= 94.4%), unlike the results obtained in the two separate interventions, which were not conclusive. Regarding the body weight outcome, the results were significant for physical activity (-0.14; CI95%: -0.27 to -0.02; I2= 7.84%) and in the combined interventions (-0.65; CI95%: -1.17 to -0.13; I2= 99.3%). Blood pressure analyses did not obtain statistically significant results. The set of all interventions with BMI data (55 studies), showed the result of -0.02 (CI95%: -0.03 to 0.00; I2= 94.5%), and none of the covariates included in meta-analysis, intervention duration, methodological quality of the study and population age could explain the heterogeneity observed. Subgroup analysis showed a reduced effect in the short intervention duration stratum (up to four months), with an estimate of -0.04 (CI95%: -0.06 to -0.03; I2= 96.6%), and in the age group of 6-10 years old, with an estimate of -0.23 (CI95%: -0.27 to -0.19; I2= 97.9%). CONCLUSIONS: The school interventions that combined physical activity and nutrition education led to reduced body mass index, unlike the interventions that used these approaches separately. The positive effects are associated with studies with shorter periods of time between the initial and final evaluations and younger populations. The high heterogeneity observed jeopardizes the external validity of the results and suggests caution in generalizing these findings to other populations.

INTRODUÇÃO: A alta prevalência da obesidade infantil em diferentes partes do planeta a posiciona como um dos principais focos de atenção da saúde pública, conhecida a associação dos seus agravos às doenças cardiovasculares e à morte prematura. O objetivo do presente trabalho foi avaliar as intervenções escolares que se utilizam das práticas em atividade física e educação nutricional na antropometria e na pressão arterial de crianças e adolescentes. MÉTODOS: Os artigos foram recuperados por buscas sistemáticas em quatorze bases de dados eletrônicas e por busca manual em listas de referências, com atualização até 30 de setembro de 2012. Dois revisores independentes avaliaram os trabalhos e extraíram os dados. Os trabalhos deveriam atender adequadamente aos seguintes critérios de elegibilidade: população dos 6 aos 18 anos de idade; intervenções comunitárias randomizadas no ambiente escolar, fundamentadas nas práticas em atividade física ou educação nutricional, ou nas duas formas combinadas; presença de grupo controle em paralelo, com seguimento concomitante; descrição de pelo menos um dos desfechos: índice de massa corporal, peso corporal e pressão arterial. A meta-análise foi desenvolvida pelo modelo de efeito randômico, com diferença padronizada entre médias pelo método de Hedges. Também foi realizada a meta-análise de regressão para identificação das fontes de heterogeneidade entre os ensaios, envolvendo as variáveis tempo e tipo de intervenção, faixa etária e qualidade. O grau de heterogeneidade entre os estudos foi verificado pelas estatísticas Q de Cochran e I2, e o viés de publicação foi avaliado subjetivamente por meio da distribuição no gráfico funnel plot. RESULTADOS: Dos 5.899 trabalhos inicialmente recuperados, 140 tiveram seus dados extraídos e 60 remanesceram para a composição das sínteses, assim subdivididas: 12 em atividade física, 8 em educação nutricional e 40 com intervenção combinada. A análise das intervenções combinadas apresentou significância estatística a favor do grupo de intervenção no índice de massa corporal, com a magnitude e variabilidade na medida do efeito em diferença padronizada de -0,14 (IC95%: -0,24 a -0,03; p=0,01; n=29471; I2= 94,4%), ao contrário dos resultados obtidos nas duas intervenções em separado, que não foram conclusivos. No desfecho peso corporal, os resultados foram significantes nas intervenções em atividade física (-0,14; IC95%: -0,27 a -0,02; I2= 7,84%) e nas combinadas (-0,65; IC95%: -1,17 a -0,13; I2= 99,3%). As análises da pressão arterial não obtiveram resultados com significância estatística. O conjunto de todas as intervenções com dados em índice de massa corporal, incluindo 55 estudos, mostrou o resultado de -0,02 (IC95%: -0,03 a 0,00; I2= 94,5%), e nenhuma das covariáveis incluídas na meta-regressão, tempo de intervenção, qualidade metodológica do estudo e faixa etária da população mostrou significância para explicar a heterogeneidade observada. A análise de subgrupos mostrou redução do efeito no estrato por tempo de intervenção curto, de até quatro meses, com estimativa de -0,04 (IC95%: -0,06 a -0,03; I2= 96,6%), e na faixa etária dos seis aos dez anos, com estimativa de -0,23 (IC95%: -0,27 a -0,19; I2= 97,9%). CONCLUSÕES: As intervenções escolares que combinaram atividade física e educação nutricional mostraram redução do índice de massa corporal, ao contrário das intervenções que se utilizaram destes elementos em separado. Os efeitos positivos estão associados aos estudos com menor tempo entre as avaliações iniciais e finais e com as faixas populacionais mais jovens. A alta heterogeneidade observada compromete a validade externa dos resultados e sugere cautela quanto à capacidade de generalização para outras populações. / INTRODUCTION: Because of its high prevalence of in different parts of the planet childhood obesity is one of the main public health issues, with obesity worsening known to be associated with cardiovascular diseases and premature death. The aim of this study was to evaluate school interventions that use physical activity and nutrition education practices in anthropometric measurements and blood pressure in children and teenagers. METHODS: The articles were retrieved via a systematic search of fourteen electronic databases and manual search through reference lists updated until September 30, 2012. Two independent reviewers assessed studies and extracted data. The papers should meet the following eligibility criteria: population aged 6 to 18 years old; randomized community interventions targeting the school environment based on physical activity or nutrition education practices, or a combination of the two approaches; placebo- controlled parallel group and concomitant monitoring; description of at least one of the outcomes: body mass index, body weight and blood pressure. Random-effects meta-analysis was used, with Hedges\'g standardized mean differences. Also, meta-analysis was performed to identify sources of heterogeneity between trials, involving the variables such as duration and type of intervention, age group and quality. The degree of heterogeneity between studies was assessed using Cochran\'s Q statistics and I2 tests, and publication bias was subjectively assessed by a funnel plot. RESULTS: Of the 5,899 papers initially retrieved, 140 were data-extracted and 60 were used in synthesis, as follows: 12 in physical activity, 8 in nutrition education and 40 in combined intervention. Analysis of the combined interventions showed that BMI was statistically more significant in the combined intervention group, with magnitude and variability in the measure of the effect size in standardized difference of (-0.14; CI95%: -0.24 to -0.03; p=0.01; n=29471; I2= 94.4%), unlike the results obtained in the two separate interventions, which were not conclusive. Regarding the body weight outcome, the results were significant for physical activity (-0.14; CI95%: -0.27 to -0.02; I2= 7.84%) and in the combined interventions (-0.65; CI95%: -1.17 to -0.13; I2= 99.3%). Blood pressure analyses did not obtain statistically significant results. The set of all interventions with BMI data (55 studies), showed the result of -0.02 (CI95%: -0.03 to 0.00; I2= 94.5%), and none of the covariates included in meta-analysis, intervention duration, methodological quality of the study and population age could explain the heterogeneity observed. Subgroup analysis showed a reduced effect in the short intervention duration stratum (up to four months), with an estimate of -0.04 (CI95%: -0.06 to -0.03; I2= 96.6%), and in the age group of 6-10 years old, with an estimate of -0.23 (CI95%: -0.27 to -0.19; I2= 97.9%). CONCLUSIONS: The school interventions that combined physical activity and nutrition education led to reduced body mass index, unlike the interventions that used these approaches separately. The positive effects are associated with studies with shorter periods of time between the initial and final evaluations and younger populations. The high heterogeneity observed jeopardizes the external validity of the results and suggests caution in generalizing these findings to other populations.