Objective: The aim was to evaluate the changes in the prevalence of physical inactivity in the Brazilian adults from 2009-2017.
Methods: This study used a time-series research design based on the cross-sectional data of 462,498 Brazilian adults from 2009-2017. Participants were classified as physically inactive if they indicated not participating in physical activity in the last three months. The Prais-Winsten regression analyzed physical inactivity trends over time.
Results: The overall prevalence of physical inactivity was stable (p>0.05). Physical inactivity increased for women in four state capitals (annual growth rate: Goiânia 1.62%, Campo Grande 3.28%, Porto Velho 0.93%, and Vitória 2.09%) and decreased in one (annual growth rate: Rio Branco 4.50%). Physical inactivity decreased for men in four state capitals (annual growth rate: Campo Grande 4.72%, Natal 2.73%, São Luís 4.94%, and Rio Branco 2.95%).
Conclusion: The physical inactivity among the Brazilian adults was stable between 2009 and 2017. Physical inactivity increased in women from Goiânia, Campo Grande, Porto Velho, and Vitória and decreased in women from Rio Branco and in men from Campo Grande, Natal, São Luís, and Rio Branco.
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http://dx.doi.org/10.1590/1806-9282.20201077 | DOI Listing |
J Family Med Prim Care
November 2024
Department of Cardiology, Sher-I-Kashmir Institute of Medical Sciences (SKIMS), Soura Srinagar, Jammu and Kashmir, India.
Background: The global burden of cardiovascular diseases is increasing rapidly, and changing trends in epidemiological risk factors are identified among diverse Indian population. There has been a significant increase in heart attack deaths over the past 3 years after the COVID-19 pandemic. Are we missing a link? There is an urgent need for studies to confirm any epidemiological shift in coronary artery disease (CAD) risk factors.
View Article and Find Full Text PDFObjective: To examine the association between childhood ADHD and lifestyle risk factors (physical inactivity and high fast-food consumption) from adolescence to early adulthood.
Methods: This retrospective cohort study used secondary data from Wave I to III of the National Longitudinal Study of Adolescent Health (Add Health) in a national representative sample of adolescents ( = 6,814). Multivariable Poisson regression and Generalized Estimating Equation were used to estimate adjusted relative risks (aRRs) and corresponding 95% confidence intervals (95% CIs), controlling for confounders.
BMC Res Notes
December 2024
Department of Internal Medicine, Faculty of Medicine, Kandahar University, Kandahar, Afghanistan.
Objective: Hypertension exerts a substantial financial burden on individuals, families, communities, and the health system of a country. The current study aimed to describe the association of hypertension with its main risk factors in the Afghan population living in Kandahar city.
Results: The prevalence of tobacco smoking, naswar use, physical activity and a healthy diet was 22%, 55%, 63.
Midwifery
December 2024
Department of Epidemiology & Biostatistics, West Virginia University, Morgantown, WV, USA.
Background: Physical activity is recommended during pregnancy, and high sedentary behavior and poor sleep may increase the risk of pregnancy complications. Activity patterns and sleep were negatively impacted by the COVID pandemic in many segments of the population, but the impact of the pandemic on pregnant people is understudied. We aimed to compare patterns of physical activity, sedentary time, and sleep during pregnancy between a pre-COVID and a COVID-era cohort.
View Article and Find Full Text PDFFront Public Health
December 2024
Department of Nursing, Harbin Medical University, Harbin, China.
Objective: This study investigates the factors influencing sedentary behavior in older adult Chinese stroke patients using decision trees and logistic regression models.
Methods: Convenience sampling method was employed to enroll 346 respondents aged ≥60 years with stroke from the Department of Neurology of three tertiary-level A hospitals in Heilongjiang province, based on the inclusion criteria. The Sedentary Behavior Questionnaire for Older Adults, the International Physical Activity Questionnaire Short Form (IPAQ-S), the Pittsburgh Sleep Quality Index (PSQI), the Self-Rating Depression Scale (SDS), and the Social Support Scale (SSRS) were used to assess sedentary behavior, physical activity level, sleep quality, depressive symptoms, and social support, respectively.
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