Influence of sociodemographic, socioeconomic, and health factors on depression in the Peruvian population: a cross-sectional study

dc.contributor.authorBasauri Delgado, Miguel
dc.contributor.authorMesía Guevara, José Alfonso
dc.contributor.authorSaintila, Jacksaint
dc.date.accessioned2025-09-16T22:45:34Z
dc.date.available2025-09-16T22:45:34Z
dc.date.issued2025
dc.descriptionIndexado en Scopus.
dc.description.abstractINTRODUCTION: Depression is a prevalent, debilitating, and potentially life-threatening disorder that affects millions of people worldwide and is influenced by multiple factors. OBJECTIVE: To examine the influence of sociodemographic, socioeconomic, and health-related factors on depression in the Peruvian adult population using data from a nationally representative survey conducted between 2020 and 2022. METHODS: A descriptive analysis of the variables was conducted, followed by a bivariate analysis using the Chi-square test with the Rao-Scott correction. Subsequently, a multivariate analysis was performed using a Poisson multiple regression model with robust variance to estimate adjusted prevalence ratios (aPR) and their corresponding 95% confidence intervals. RESULTS: The study included 72 334 participants aged 18 to 97 and identified an increased likelihood of depression among older adults (≥60 years; aPR = 1.18 [1.08, 1.29]); single individuals (aPR = 1.33 [1.22, 1.45]); separated individuals (aPR = 1.32 [1.18, 1.47]); divorced or widowed individuals (aPR = 1.44 [1.34, 1.56]); residents of the Sierra region (aPR = 1.41 [1.30, 1.53]); economically inactive individuals (aPR = 1.08 [1.01, 1.16]); individuals with disabilities (aPR = 1.50 [1.28, 1.77]); those diagnosed with hypertension (aPR = 1.45 [1.33, 1.58]) or diabetes (aPR = 1.42 [1.27, 1.59]); and those who smoke monthly (aPR = 1.32 [1.19, 1.48]). Conversely, being male (aPR = 0.50 [0.46, 0.54]), having a higher level of education (secondary or above; aPR = 0.69 [0.62, 0.76]), residing on the coast (aPR = 0.83 [0.76, 0.91]) or in the jungle region (aPR = 0.87 [0.79, 0.96]), living in a rural area (aPR = 0.85 [0.78, 0.93]), and having a higher wealth index (aPR = 0.81 [0.71, 0.94]) were associated with a lower likelihood of depression. CONCLUSIONS: In conclusion, depression is significantly associated with various sociodemographic, socioeconomic, and health factors.
dc.identifier.citationBasauri-Delgado, M., Mesía-Guevara, J.A., & Saintila, J. (2025). Influence of sociodemographic, socioeconomic, and health factors on depression in the Peruvian population: a cross-sectional study. Journal of Primary Care & Community Health, 16. https://doi.org/10.1177/21501319251342090
dc.identifier.doihttps://doi.org/10.1177/21501319251342090
dc.identifier.journalJournal of Primary Care & Community Health
dc.identifier.urihttps://hdl.handle.net/20.500.11955/1501
dc.language.isoeng
dc.publisherSage Publications
dc.relation.ispartofurn:issn: 2150-1327
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourceRepositorio Institucional - UNIFÉ
dc.subjectDemografía
dc.subjectDepresión
dc.subjectPerú
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#5.01.01
dc.titleInfluence of sociodemographic, socioeconomic, and health factors on depression in the Peruvian population: a cross-sectional study
dc.typeinfo:eu-repo/semantics/article
unife.autor.afiliacionBasauri Delgado, Miguel
unife.autor.afiliacionMesía Guevara, José Alfonso

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