Evidence map›Paper›PMID 35649601›Full record

ArticleBMJ open2022

Socioeconomic and health-related inequalities in major depressive symptoms among older adults: a Wagstaff's decomposition analysis of data from the LASI baseline survey, 2017-2018.

T Muhammad, Anjali Elsa Skariah, Manish Kumar, Shobhit Srivastava

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Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

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19citing papers in PubMed
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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

T MuhammadDepartment of Family & Generations, International Institute for Population Sciences, Mumbai, Maharashtra, India.ORCID 0000-0003-1486-7038
Anjali Elsa SkariahInstitute of Rural Management, Anand, Gujarat, India.
Manish KumarDepartment of Survey Research & Data Analytics, International Institute for Population Sciences, Mumbai, Maharashtra, India.
Shobhit SrivastavaDepartment of Survey Research & Data Analytics, International Institute for Population Sciences, Mumbai, Maharashtra, India shobhitsrivastava889@gmail.com.ORCID 0000-0002-7138-4916

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo find out the association between socioeconomic and health status and depression among older adults and explore the contributing factors in the socioeconomic and health-related inequalities in late-life depression.

designA cross-sectional study was conducted using large representative survey data. SETTING AND

participantsData for this study were derived from the baseline wave of the Longitudinal Ageing Study in India conducted during 2017-2018. The effective sample size was 30 888 older adults aged 60 years and above. PRIMARY AND SECONDARY OUTCOME MEASURES: The outcome variable in this study was depression among older adults. Descriptive statistics along with bivariate analysis was conducted to report the preliminary results. Multivariable binary logistic regression analysis and Wagstaff's decomposition were used to fulfil the objectives of the study.

resultsThere was a significant difference for the prevalence of depression (4.3%; p<0.05) among older adults from poor (11.2%) and non-poor categories (6.8%). The value of the Concentration Index was -0.179 which also confirms that the major depression was more concentrated among poor older adults. About 38.4% of the socioeconomic and health-related inequality was explained by the wealth quintile for major depression among older adults. Moreover, about 26.6% of the inequality in major depression was explained by psychological distress. Self-rated health (SRH), difficulty in activities of daily living (ADL) and instrumental ADL (IADL) contributed 8.7%, 3.3% and 4.8% to the inequality, respectively. Additionally, region explained about 23.1% of inequality followed by life satisfaction (11.2) and working status (9.8%) for major depression among older adults.

conclusionsFindings revealed large socioeconomic and health-related inequalities in depression in older adults which were especially pronounced by poor household economy, widowhood, poor SRH, ADL and IADL difficulty, and psychological distress. In designing prevention programmes, detection and management of older adults with depression should be a high priority, especially for those who are more vulnerable.

Indexed as

Activities of Daily LivingMajor Depressive DisorderAgedCross-Sectional StudiesDepressionHumansSocioeconomic FactorsSurveys and Questionnairesepidemiologypsychiatrypublic health

Identifiers

PMID35649601
PMCPMC9161106

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