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This study examined the prevalence and sociodemographic correlates of meeting individual behavior and 24-hr movement behavior guidelines among Brazilian older adults with chronic diseases. The sample comprised 273 older adults aged ≥60 years (80.2% women) with chronic diseases from Recife, Pernambuco, Brazil. Sociodemographic variables were self-reported, while 24-hr movement behaviors were assessed by accelerometry. Participants were classified as meeting (or not meeting) individual and integrated recommendations for moderate-to-vigorous physical activity (MVPA), sedentary behavior, and sleep duration. No participant met the 24-hr movement behavior guidelines, while only 8.4% met integrated MVPA/sleep recommendations. The prevalence of meeting recommendations of MVPA, sedentary behavior, and sleep was 28.9%, 0.4%, and 32.6%, respectively. Discrepancies according to sociodemographic variables on meeting MVPA recommendations existed. The findings show the need for dissemination and implementation strategies to foster adoption of the 24-hr movement behavior guidelines among Brazilian older adults with chronic diseases.

Background: Academic achievement (AA) is an important issue not only during the school period since it is a strong predictor of long-term professional and social success. Physical fitness (PF) components are associated with AA, and previous studies were conducted with relatively small samples, lack of statistical power, and the conclusions are based on simple correlational analyses. The objective of this study was to analyze the association between PF (single and clustered) with AA in a large and representative sample of high school students. Methods: Cross-sectional design study conducted with 911 students, aged 13–15 years (38.52% boys) enrolled in the first year of high school. Cardiorespiratory fitness (20-m shuttle run test), muscular strength (dynamometer), and body composition (skinfolds) were measured. PF components were clustered (Z-cardiorespiratory fitness + Z-muscular strength – Z-body fatness). AA was analyzed through standard math tests. Hierarchical linear regression analysis was applied to verify the independent contribution of each single component and PF’s cluster on AA. Age, screen time, maternal education, race, and type of residence were used as covariates. Results: Among boys, cardiorespiratory fitness was negatively associated with AA (β = −0.137; P = .041), while strength was positively associated with AA (β = 0.188; P = .004). There was no association between clustered PF indicators and AA (β = 0.064; P = .297). There was a negative association between age and AA in girls (β = −0.151; P = .003) and in boys (β = −0.128; P = .045). Conclusions: These results support current literature, indicating an association between PF’s component, namely muscular strength and AA (mathematics) in adolescents, even when controlled for several covariates.