Shelby A. Keye , Pedro Curi Hallal , Inacio Crochemore-Silva , Marlos Rodrigues Domingues , Giulia Salaberry Leite , Otávio Amaral de Andrade Leão
{"title":"Physical activity and BMI inequalities throughout childhood: a Brazilian birth cohort study","authors":"Shelby A. Keye , Pedro Curi Hallal , Inacio Crochemore-Silva , Marlos Rodrigues Domingues , Giulia Salaberry Leite , Otávio Amaral de Andrade Leão","doi":"10.1016/j.lana.2025.101111","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Utilising the 2015 Pelotas (Brazil) Birth Cohort, the current study investigated differences in physical activity (PA) and BMI-for-age between sex, race, and socioeconomic status (SES) at ages 1 (n = 4018), 2 (n = 4014), 4 (n = 4010), and 7 (n = 3867).</div></div><div><h3>Methods</h3><div>Demographics collected via surveys included sex at birth, skin colour, a proxy for race, at 4 years, and an assets index collected at all ages to determine SES. Height and weight estimated BMI-for-age and PA via wrist-worn accelerometers. Means and 95% confidence intervals described PA and BMI-for-age, using t-tests, ANOVAs, and chi-squared tests to determine significant differences. Trajectory models compared longitudinal patterns from 1 to 7 years.</div></div><div><h3>Findings</h3><div>Starting at age 2, Black and Brown children and poorer children engaged in more PA. Poorer children presented lower BMI-for-age at ages 4 and 7. Trajectory models revealed that boys, Black and Brown, and poorer children represented increasing and high PA groups. Boys and Black and Brown children were most prevalent in higher BMI-for-age trajectory groups.</div></div><div><h3>Interpretation</h3><div>The current study revealed PA and BMI-for-age inequalities across multiple demographic variables during early life. These results may reveal when inequalities may arise and reveal time points to intervene for populations at risk of poor health-related quality of life.</div></div><div><h3>Funding</h3><div>The present study was funded initially by the <span>Wellcome Trust</span> (<span><span>095582</span></span>), and partially by the <span>Conselho Nacional de Desenvolvimento Científico e Tecnológico</span>, <span>Fundacao de Amparo a Pesquisa do Estado do Rio Grande do Sul</span>, <span>Children’s Pastorate</span>, and the <span>Department of Science and Technology</span> (<span>DECIT</span>/<span>Brazilian Ministry of Health</span>).</div></div>","PeriodicalId":29783,"journal":{"name":"Lancet Regional Health-Americas","volume":"46 ","pages":"Article 101111"},"PeriodicalIF":7.0000,"publicationDate":"2025-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Lancet Regional Health-Americas","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2667193X25001218","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0
Abstract
Background
Utilising the 2015 Pelotas (Brazil) Birth Cohort, the current study investigated differences in physical activity (PA) and BMI-for-age between sex, race, and socioeconomic status (SES) at ages 1 (n = 4018), 2 (n = 4014), 4 (n = 4010), and 7 (n = 3867).
Methods
Demographics collected via surveys included sex at birth, skin colour, a proxy for race, at 4 years, and an assets index collected at all ages to determine SES. Height and weight estimated BMI-for-age and PA via wrist-worn accelerometers. Means and 95% confidence intervals described PA and BMI-for-age, using t-tests, ANOVAs, and chi-squared tests to determine significant differences. Trajectory models compared longitudinal patterns from 1 to 7 years.
Findings
Starting at age 2, Black and Brown children and poorer children engaged in more PA. Poorer children presented lower BMI-for-age at ages 4 and 7. Trajectory models revealed that boys, Black and Brown, and poorer children represented increasing and high PA groups. Boys and Black and Brown children were most prevalent in higher BMI-for-age trajectory groups.
Interpretation
The current study revealed PA and BMI-for-age inequalities across multiple demographic variables during early life. These results may reveal when inequalities may arise and reveal time points to intervene for populations at risk of poor health-related quality of life.
Funding
The present study was funded initially by the Wellcome Trust (095582), and partially by the Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundacao de Amparo a Pesquisa do Estado do Rio Grande do Sul, Children’s Pastorate, and the Department of Science and Technology (DECIT/Brazilian Ministry of Health).
期刊介绍:
The Lancet Regional Health – Americas, an open-access journal, contributes to The Lancet's global initiative by focusing on health-care quality and access in the Americas. It aims to advance clinical practice and health policy in the region, promoting better health outcomes. The journal publishes high-quality original research advocating change or shedding light on clinical practice and health policy. It welcomes submissions on various regional health topics, including infectious diseases, non-communicable diseases, child and adolescent health, maternal and reproductive health, emergency care, health policy, and health equity.