Juan Carlos Torres Mantilla, José Diego Torres Mantilla
{"title":"Factores asociados al trastorno depresivo en adultos mayores peruanos","authors":"Juan Carlos Torres Mantilla, José Diego Torres Mantilla","doi":"10.24265/horizmed.2023.v23n3.05","DOIUrl":null,"url":null,"abstract":"Objective: To determine the prevalence and factors associated with depressive disorder among Peruvian older adults over 60 years of age.Materials and methods: An observational, analytical and cross-sectional study was conducted based on a secondary analysis of the 2019 Encuesta Demográfica y de Salud Familiar (ENDES - National Demographic and Family Health Survey),administered at national level by Instituto Nacional de Estadística e Informática del Perú (INEI - National Institute of Statistics and Informatics of Peru). The sample consisted of 4,174 older adults. The main variable was suffering from a depressive disorder (depressed/not depressed) and the independent variables were age, sex, educational level, wealthquintile (classified into five levels of wealth), area of residence (classified as urban/rural), geographic domain (classified as Lima Metropolitan Area, the rest of the coast, the highlands and the jungle), health coverage (classified as insured/uninsured), alcohol consumption (yes/no), smoking (yes/no) and presence of a disability (yes/no). Analyses of absoluteand relative frequencies, differences in proportions and a multivariate analysis using generalized linear models (GLM) were performed.Results: The prevalence of depressive disorder and disability accounted for 13.18 % and 7.86 %, respectively. Older males were less likely to suffer from a depressive disorder (PRa = 0.602; 95 % CI: 0.513-0.706) than females, and the group over85 years of age showed a higher risk than those from 60 to 74 years (PRa = 1.664; 95 % CI: 1.304-2.124). Besides, not presenting a disability behaved as a preventive factor (PRa = 0.542; 95 % CI: 0.440-0.668), while a higher educational level and wealth quintile, starting from the “Middle” quintile, were protective factors when taking the categories \"No education\" and \"The poorest\" as reference, respectively (p < 0.005). Conclusions: Belonging to the group over 85 years of age, being a female, being in lower wealth quintiles, suffering from a disability and having a lower educational level were risk factors for depressive disorder among Peruvians older adults.","PeriodicalId":245951,"journal":{"name":"Horizonte Médico","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Horizonte Médico","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24265/horizmed.2023.v23n3.05","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Objective: To determine the prevalence and factors associated with depressive disorder among Peruvian older adults over 60 years of age.Materials and methods: An observational, analytical and cross-sectional study was conducted based on a secondary analysis of the 2019 Encuesta Demográfica y de Salud Familiar (ENDES - National Demographic and Family Health Survey),administered at national level by Instituto Nacional de Estadística e Informática del Perú (INEI - National Institute of Statistics and Informatics of Peru). The sample consisted of 4,174 older adults. The main variable was suffering from a depressive disorder (depressed/not depressed) and the independent variables were age, sex, educational level, wealthquintile (classified into five levels of wealth), area of residence (classified as urban/rural), geographic domain (classified as Lima Metropolitan Area, the rest of the coast, the highlands and the jungle), health coverage (classified as insured/uninsured), alcohol consumption (yes/no), smoking (yes/no) and presence of a disability (yes/no). Analyses of absoluteand relative frequencies, differences in proportions and a multivariate analysis using generalized linear models (GLM) were performed.Results: The prevalence of depressive disorder and disability accounted for 13.18 % and 7.86 %, respectively. Older males were less likely to suffer from a depressive disorder (PRa = 0.602; 95 % CI: 0.513-0.706) than females, and the group over85 years of age showed a higher risk than those from 60 to 74 years (PRa = 1.664; 95 % CI: 1.304-2.124). Besides, not presenting a disability behaved as a preventive factor (PRa = 0.542; 95 % CI: 0.440-0.668), while a higher educational level and wealth quintile, starting from the “Middle” quintile, were protective factors when taking the categories "No education" and "The poorest" as reference, respectively (p < 0.005). Conclusions: Belonging to the group over 85 years of age, being a female, being in lower wealth quintiles, suffering from a disability and having a lower educational level were risk factors for depressive disorder among Peruvians older adults.