ArticlePloS one2020
Socio-economic-demographic determinants of depression in Indonesia: A hospital-based study.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.
- The association between socioeconomic position and depression or suicidal ideation in low- and middle-income countries in Southeast Asia: a systematic review and meta-analysis.BMC public health · 2024Pooled it
- Questionnaire-free machine-learning method to predict depressive symptoms among community-dwelling older adults.PloS one · 2023Article
- Self-construal and behavioral motivation systems among patients with depression in Indonesia: A hospital-based study.Heliyon · 2022Article
- Determinants of Common Mental Disorders (CMD) among adolescent girls aged 15-19 years in Indonesia: Analysis of the 2018 National Basic Health Survey Data.PLOS global public health · 2022Article
- Gender Differences in Depression in the General Population of Indonesia: Confounding Effects.Depression research and treatment · 2021Article
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Authors and funding
9 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The association of socio-economic-demographic (SED; e.g., income-related) factors with depression is widely confirmed in the literature. We conducted a hospital-based case-control study of 160 patients with psychiatrist-diagnosed clinical depression. The control group comprised 160 participants recruited from local communities. We used a questionnaire to collect SED data from all participants. We replaced missing values using multiple imputation analyses and further analyzed the pooled data of five imputations. We also recorded the results from the original analysis and each imputation. Univariate analyses showed income was associated with depression. Multiple logistic regression analyses revealed that, among all SED variables, high income (odds ratio = 2.088 [95% confidence interval = 1.178-3.700]; p = 0.012), middle-level (completed junior or senior high school) education (1.688 [1.042-2.734]; p = 0.033) and cohabitating with four or more family members (1.632 [1.025-2.597]; p = 0.039) were significant predictors for the case group. We conclude that cash income is a determinant of depression in hospital outpatients in Indonesia. This study suggests health policy implications toward better hospital access and service for people with depression in middle- or low-income households, and recommends considering high income as correlated with a high risk of depression, owing to socio-cultural changes.
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