RESUMEN
OBJECTIVES: The populational impact of poor sleep quality and the risk of dementia is unclear. We analyzed the Population Attributable Fraction (PAF) of poor sleep quality for dementia, and its association with other two sleep parameters through self-reported and single questions collected in a large-scale Brazilian cohort (ELSI-Brazil). METHODS: A subset of the ELSI-Brazil with complete responses to sleep quality was retrieved for this study. This is a large representative sample of the Brazilian elderly population with an extensive assessment of sociodemographic and health risk variables. Prevalence of poor sleep quality was estimated according to the complex sample design, and its PAF was measured using a meta-analytic relative risk. A total of 6024 (56.3% women, mean 62.8 ± 9.5 years of age) individuals had complete responses. RESULTS: The prevalence of poor sleep quality was 24.9% (95%CI 23%-26%), and the PAF of poor sleep quality including other 10 modifiable risk factors of dementia was 52.5% in Brazil. Secondary analyses identified that sleep quality, restorative sleep and sleep drug usage varied considerably according to age ranges, race, and gender. CONCLUSIONS: Poor sleep quality is an important populational modifiable risk factor for dementia in Brazil. Targeted interventions may provide an important impact in preventing dementia in low- and middle-income countries.
Asunto(s)
Demencia , Humanos , Brasil/epidemiología , Femenino , Demencia/epidemiología , Masculino , Anciano , Factores de Riesgo , Persona de Mediana Edad , Prevalencia , Calidad del Sueño , Trastornos del Sueño-Vigilia/epidemiología , Anciano de 80 o más Años , Trastornos del Inicio y del Mantenimiento del Sueño/epidemiologíaRESUMEN
BACKGROUND: This study estimates the spatial distribution and trends in preventable deaths, years of life lost (YLL), and life expectancy (LE), associated with noncommunicable diseases under alternative distributions of physical activity in Argentina. METHODS: Potential impact fractions were used to calculate the preventable deaths and YLL attributable to various scenarios of physical activity. Cause-eliminated life tables were used to estimate LE gains, and Monte Carlo simulations were performed for uncertainty analysis. RESULTS: From 2005 to 2018, physical activity could have prevented up to 7544 to 8220 potential deaths (≈4.27% of major noncommunicable diseases and ≈2.66% of all causes) and about 221 to 219 YLL per 100,000 inhabitants; between 0.67 and 0.71 years of LE could have been gained. If the World Health Organization recommendations (at least 600 metabolic equivalent tasks minutes per week) had been achieved, between 2813 and 3111 potential deaths could have been prevented, about 80 fewer years of life (per 100,000 inhabitants) would have been lost, and 0.23 years of LE could have been gained. A 15% reduction in insufficient physical activity has shown a small impact on outcomes. CONCLUSION: Public health initiatives aimed at increasing population-wide physical activity could reduce noncommunicable disease deaths in Argentina.