ORCID Profile
0000-0002-4496-4122
Current Organisation
Federal University of Pelotas
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Publisher: Springer Science and Business Media LLC
Date: 06-01-2022
DOI: 10.1186/S12889-021-12428-7
Abstract: To date, no research has investigated social determinants of leisure time physical activity through the lens of intersectionality in a low- and middle-income country. Therefore, the aim of this study was to explore the intersectionality in leisure time physical activity in a nationwide s le of Brazilian adults. Data from the Brazilian National Health Survey conducted in 2013 were analysed ( N = 58,429). Prevalence of sufficient leisure time physical activity (150+ minutes per week in moderate-to-vigorous physical activity) was estimated according to gender, racial identity, education and income, and according to multiple combinations of these sociodemographic characteristics (i.e., multiple jeopardy index). The prevalence of sufficient leisure time physical activity was 22.9% (95%CI: 22.3 to 23.6). Overall, the prevalence of sufficient leisure time physical activity was highest among men, in iduals with white skin colour, and among those in the highest group of education and income. Among men, white, with a university degree and in the highest quartile of income (3% of the population), the prevalence of sufficient leisure time physical activity was 48%. Among non-white women with low education and low income (8.1% of the population), the prevalence of sufficient leisure time physical activity was 9.8%. Informed by the theory of intersectionality, findings of this study have shown that intersections of gender, racial identity and socioeconomic position of the Brazilian society strongly influence leisure time physical activity at the in idual level. Targeted interventions to increase leisure time physical activity should address the complexities of social status intersections.
Publisher: FapUNIFESP (SciELO)
Date: 2021
DOI: 10.1590/1980-549720210016.SUPL.2
Abstract: ABSTRACT: Objective: The aims of this study were: 1) to estimate the prevalence of multimorbidity in 2013 and 2019 in adults aged 20–59 years 2) to assess inequalities in the prevalence of multimorbidity in 2013 and 2019 according to educational level. Methods: Data from two cross-sectional surveys from the Brazilian National Health Survey in 2013 and 2019 were used. Multimorbidity was assessed from 14 lifetime self-reported morbidities (except back problems) and defined using the cutoff point of ≥2 diseases. The prevalence of multimorbidity and in idual morbidities were described according to gender, age, skin color, and education. For education, crude, and relative inequalities in prevalence of multimorbidity were calculated using the Slope Index of Inequality and the Concentration Index, respectively. Results: The prevalence of multimorbidity increased from 18.7% (95%CI 18.0–19.3) in 2013 to 22.3% (95%CI 21.7–22.9) in 2019, being higher among women and adults between 30–59 years in both periods. Asthma/bronchitis, depression, and back problems were the conditions that increased the most in the study period. Absolute and relative inequalities by education status were observed in the study period, with worse multimorbidity profiles among the less educated. Conclusion: The prevalence of multimorbidity increased between 2013 and 2019. Inequalities in the prevalence of multimorbidity were observed according to educational level.
Publisher: Springer Science and Business Media LLC
Date: 14-07-2022
Publisher: Georg Thieme Verlag KG
Date: 03-2023
Abstract: Objective To analyze the association of sleep duration and use of sleeping medication with multimorbidity. Materials and Methods We conducted a cross-sectional study using data from the Prospective Study about Mental and Physical Health (PAMPA) cohort. Multimorbidity was defined as the presence of two or more conditions from a list of twelve health problems. Descriptive analyses were performed considering proportion and its 95% confidence interval (95%CI). We performed logistic regression (to obtain odds ratios, ORs) to estimate the associations, including models adjusted for confounding factors. Results In total, 2,936 participants were included, 79,1% of them women, 54.2% aged between 18 and 39 years, and 88.9% with white skin color. Compared with regular sleep (seven to eight hours a day), five hours or less of sleep increased the odds of multimorbidity by 145% (95%CI: 1.90–3.14), and 9 hours or more of sleep increased the odds by 49% (95%CI: 1.14–1.95) for the crude model the results remained significant even in the adjusted models. Discussion Consumption of sleeping medication was associated with multimorbidity. Short and prolonged sleep duration increased the odds of multimorbidity, regardless of the sociodemographic and behavior characteristics. The regular use of sleeping medication was also associated with multimorbidity. The results of the present study are important but require caution due to reverse causality, and longitudinal studies are needed to confirm the findings.
Publisher: FapUNIFESP (SciELO)
Date: 06-2022
No related grants have been discovered for Bruno Nunes.