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J Affect Disord ; 360: 403-411, 2024 Sep 01.
Artículo en Inglés | MEDLINE | ID: mdl-38823592

RESUMEN

BACKGROUND: Perceived mental health (PMH) was reportedly associated with mortality in general populations worldwide. However, little is known about sex differences and pathways potentially linking PMH to mortality. We explored the relationship between PMH and mortality in Italian men and women, and analysed potential explanatory factors. METHODS: We performed longitudinal analyses on 9045 men and 9467 women (population mean age 53.8 ± 11.2 years) from the Moli-sani Study. Baseline PMH was assessed through a self-administered Short Form 36-item questionnaire. Cox proportional hazard regression was used to estimate hazard ratios (HRs) and 95 % confidence intervals (95%CI) of death across sex-specific quartiles of PMH, controlling for age, chronic health conditions, and perceived physical health. Socioeconomic, behavioural, and physiological factors were examined as potential explanatory factors of the association between PMH and mortality. RESULTS: In women, HRs for the highest (Q4) vs. bottom quartile (Q1) of PMH were 0.75 (95%CI 0.60-0.96) for all-cause mortality and 0.59 (0.40-0.88) for cardiovascular mortality. Part of these associations (25.8 % and 15.7 %, for all-cause and cardiovascular mortality, respectively) was explained by physiological factors. In men, higher PMH was associated with higher survival (HR = 0.82; 0.69-0.98, for Q4 vs. Q1) and reduced hazard of other cause mortality (HR = 0.67; 0.48-0.95). More than half of the association with all-cause mortality was explained by physiological factors. LIMITATIONS: PMH was measured at baseline only. CONCLUSIONS: PMH was independently associated with mortality in men and women. Public health policies aimed at reducing the burden of chronic diseases should prioritize perceived mental health assessment along with other interventions.


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Salud Mental , Humanos , Masculino , Femenino , Italia/epidemiología , Persona de Mediana Edad , Salud Mental/estadística & datos numéricos , Estudios Prospectivos , Adulto , Factores Sexuales , Anciano , Mortalidad , Modelos de Riesgos Proporcionales , Enfermedades Cardiovasculares/mortalidad , Estudios Longitudinales , Causas de Muerte , Encuestas y Cuestionarios
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