Predictors of Body Mass Index Change From 11 to 15 Years of Age: The 1993 Pelotas (Brazil) Birth Cohort Study

Assunção, Maria Cecília Formoso; Muniz, Ludmila Correa; Dumith, Samuel Carvalho; Clark, Valerie Lyn; Araújo, Claudia Affonso Silva; Gonçalves, Helen; Menezes, Ana Maria Baptista; Hallal, Pedro Curi

doi:10.1016/j.jadohealth.2012.08.012

Cited by 13 publications

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“…In contrast, a higher prevalence of overweight and obesity is observed in those from higher SES status in males. 23 , 24 Finally, caution is warranted when interpreting cross-sectional associations between physical activity and weight status due to the possibility of reversed causality.…”

Section: Discussionmentioning

confidence: 99%

Physical activity levels in three Brazilian birth cohorts as assessed with raw triaxial wrist accelerometry

Silva¹,

Hees²,

Ramires³

et al. 2014

International Journal of Epidemiology

196

188

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Background: Data on objectively measured physical activity are lacking in low- and middle-income countries. The aim of this study was to describe objectively measured overall physical activity and time spent in moderate-to-vigorous physical activity (MVPA) in individuals from the Pelotas (Brazil) birth cohorts, according to weight status, socioeconomic status (SES) and sex.Methods: All children born in 1982, 1993 and 2004 in hospitals in the city of Pelotas, Brazil, constitute the sampling frame; of these 99% agreed to participate. The most recent follow-ups were conducted between 2010 and 2013. In total, 8974 individuals provided valid data derived from raw triaxial wrist accelerometry. The average acceleration is presented in milli-g (1 mg = 0.001g), and time (min/d) spent in MVPA (>100 mg) is presented in 5- and 10-min bouts.Results: Mean acceleration in the 1982 (mean age 30.2 years), 1993 (mean age 18.4 years) and 2004 (mean age 6.7 years) cohorts was 35 mg, 39 mg and 60 mg, respectively. Time spent in MVPA was 26 [95% confidence interval (CI) 25; 27], 43 (95% CI 42; 44) and 45 (95% CI 43; 46) min/d in the three cohorts, respectively, using 10-min bouts. Mean MVPA was on average 42% higher when using 5-min bouts. Males were more active than females and physical activity was inversely associated with age of the cohort and SES. Normal-weight individuals were more active than underweight, overweight and obese participants.Conclusions: Overall physical activity and time spent in MVPA differed by cohort (age), sex, weight status and SES. Higher levels of activity in low SES groups may be explained by incidental physical activity.

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Section: Discussionmentioning

confidence: 99%

Physical activity levels in three Brazilian birth cohorts as assessed with raw triaxial wrist accelerometry

Silva¹,

Hees²,

Ramires³

et al. 2014

International Journal of Epidemiology

196

188

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“…Approximately 32% of boys wanted to be smaller and 22% wanted to be bigger, while 40% of girls wanted to be smaller and 21% wanted to be bigger. 33 …”

Section: Discussionmentioning

confidence: 99%

Body size dissatisfaction among young adults from the 1982 Pelotas birth cohort

et al. 2014

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Background/Objectives:To identify the prevalence and factors associated with body dissatisfaction.Subjects/Methods:Birth cohort study investigating 4100 subjects (2187 men and 1913 women) aged between 22 and 23 years who answered questionnaires, including the body satisfaction Stunkard Scale were included in the study; they were weighed and measured. Multinomial logistic regression was used in the crude and adjusted analyses.Results:The prevalence of body dissatisfaction was 64% (95% CI, 62.7–65.6); 42% (95% CI, 40.6–43.6) of the subjects reported feeling larger than the desired body size, and 22% (95% CI, 20.7–23.3) reported feeling smaller than desired. Underweight subjects, subjects with less schooling, poor and sedentary male subjects with low psychological well-being and female subjects who were already mothers were more likely to express body dissatisfaction, perceiving their body as smaller than the desirable body size. The prevalence of body dissatisfaction was also high among overweight subjects, subjects with a high socioeconomic status and married female subjects, who perceived their body size as too large. Minor psychiatric disorders were associated with body dissatisfaction in all subjects, regardless of perceiving themselves as larger or smaller than the desired body size. Most women perceived themselves as larger, but similar proportions of men perceived themselves as too small or too large.Conclusions:Body dissatisfaction was observed among men and women with normal weight, but it was more evident in the obese individuals. Regardless of the nutritional status, both men and women should be appropriately counseled because body size perception can lead to unhealthy behaviors in relation to diet and physical activity.

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“…AssunÈÄo et al explore predictors of nutritional status change, finding that low-income girls were more likely than high-income girls to become obese from 11 to 15 years, and that high-income boys were more likely than low-income boys to cease being obese during adolescence [8]. Body mass index tracked strongly during adolescence, suggesting that interventions need to start as early as possible.…”

Section: Editorialmentioning

confidence: 99%

Prospective Findings From the 1993 Pelotas (Brazil) Birth Cohort Study

Hallal¹,

Irwin²

2012

Journal of Adolescent Health

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EditorialProspective Findings From the 1993 Pelotas (Brazil) Birth Cohort Study This supplement to the Journal of Adolescent Health is devoted to understanding the health and well-being of adolescents by taking the long view of this period of the life cycle. The articles herein analyze data collected from conception through age 15 from 4,500 individuals born in the city of Pelotas, Brazil, in 1993. The analyses provide us with not just a snapshot of adolescents' current health status, but rather an entire movie depicting the life-course trajectories and the emergence of health outcomes of this population during adolescence.The first four articles of the supplement focus on early-life predictors of later health and behavior [1][2][3][4]. Wells et al show that infant weight and length gains were associated primarily with larger size in adolescence rather than increased adiposity, although later childhood gains in weight and height were predictors of fat mass [1]. In the second article, MartÎnez-Mesa et al report that maternal smoking during pregnancy negatively affects an offspring's height in adolescence [2]. The third and fourth articles report on the effect of socioeconomic change from birth to adolescence [3,4]. Hallal et al show that adolescents born to high-income families had half the odds of walking or cycling to school compared with those whose families became wealthy during adolescence, suggesting that the habit of commuting to school under one's own power was "built" early in life [3]. Anselmi et al examine the influence of poverty on mental health, showing that both persistent poverty and becoming poor over time were associated with a greater likelihood of developing conduct disorders in adolescence [4].The next three articles focus on the health effects of behavioral changes during adolescence [5][6][7]. Menezes et al report a positive association between self-reported physical activity practice in adolescence and effort-dependent lung function, particularly among girls [5]. In contrast, Rombaldi et al show that too much time dedicated to physical activity (Ͼ 1,000 min/wk) may jeopardize school performance [6]. In addition, Noal et al report that the prevalence of wheezing at 15 years of age was 53% greater among obese versus nonobese adolescents [7].The next three articles further explore environmental factors that influence obesity and perceptions of obesity from the perspective of parents and adolescents [8 -10]. AssunÈÄo et al explore predictors of nutritional status change, finding that low-income girls were more likely than high-income girls to become obese from 11 to 15 years, and that high-income boys were more likely than low-income boys to cease being obese during adolescence [8]. Body mass index tracked strongly during adolescence, suggesting that interventions need to start as early as possible. Dumith et al provide more information on the predictors and health consequences of screen time during adolescence. Screen time increased from 11 to 15 years of age, particularly among boys and high...

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Predictors of Body Mass Index Change From 11 to 15 Years of Age: The 1993 Pelotas (Brazil) Birth Cohort Study

Cited by 13 publications

References 20 publications

Physical activity levels in three Brazilian birth cohorts as assessed with raw triaxial wrist accelerometry

Physical activity levels in three Brazilian birth cohorts as assessed with raw triaxial wrist accelerometry

Body size dissatisfaction among young adults from the 1982 Pelotas birth cohort

Prospective Findings From the 1993 Pelotas (Brazil) Birth Cohort Study

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