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Objectives: This study aims to evaluate the gender inequalities in accelerometer-based physical activity (PA) across different age groups using data from 5 Pelotas (Brazil) cohorts. Methods: The data come from 4 birth cohort studies, covering all live births in the urban area of Pelotas for each respective year (1982, 1993, 2004, and 2015), and the Como vai? cohort study focusing on 60 years and above. Raw accelerometry data were collected on the nondominant wrist using GENEActive/ActiGraph devices and processed with the GGIR package. Overall PA was calculated at ages 1, 2, 4, 6, 11, 15, 18, 23, 30, and 60+ years, while moderate to vigorous PA was calculated from 6 years onward. Absolute (difference) and relative (ratio) gender inequalities were calculated and intersectionality between gender and wealth was also evaluated. Results: The sample sizes per cohort ranged from 965 to 3462 participants. The mean absolute gender gap was 19.3 minutes (95% confidence interval, 12.7–25.9), with the widest gap at 18 years (32.9 min; 95% confidence interval, 30.1–35.7) for moderate to vigorous PA. The highest relative inequality was found in older adults (ratio 2.0; 95% confidence interval, 1.92–2.08). Our intersectionality results showed that the poorest men being the most active group, accumulating around 60 minutes more moderate to vigorous PA per day compared with the wealthiest women at age 18. Conclusions: Men were more physically active than women in all ages evaluated. PA gender inequalities start at an early age and intensify in transition periods of life. Relative inequalities were marked among older adults. [ABSTRACT FROM AUTHOR]

Background: The present study aims to estimate leisure-time physical activity and television (TV) viewing curves according to age stratified by sex, area of residence, and socioeconomic position. Methods: Using data from the Brazilian National Health Survey, we estimated the prevalence of leisure-time physical activity and TV viewing according to continuous age. The estimates were calculated using fractional polynomials and stratified by sex, wealth, skin color, and area of residence. Results: The sample included 87,376 adults (aged 18 y or over). In general, leisure-time physical activity decreased according to age while TV viewing increased. Regarding behavior of curves according to stratifiers, for leisure-time physical activity the disadvantaged groups maintained a pattern of low physical activity across all age groups or presented the decrease earlier when compared to groups in social advantage. On the other hand, for TV viewing, women presented an increase in prevalence before men, and individuals living in the urban area and the wealthiest group were those with a higher increase according to age. Conclusions: Our findings may help researchers and policymakers further explore inequalities in physical activity across life in different settings, as well as develop sensitive cultural actions to support more vulnerable people to adopt public health recommendations. [ABSTRACT FROM AUTHOR]