Evidence map›Paper›PMID 38254089›Full record

ArticleBMC psychiatry2024

Decomposing the rural-urban differences in depression among multimorbid older patients in India: evidence from a cross-sectional study.

Amiya Saha, Bittu Mandal, T Muhammad, Waad Ali

Open access · goldAbstract read
In one paragraph

Article in BMC psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
10.8field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 28 citations in OpenAlex.

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  9. Health of Indian Midlife Women-Unmet Needs and Possible Solutions.Journal of obstetrics and gynaecology of India · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 4 institutions in 3 countries.

Amiya SahaDepartment of Family & Generations, International Institute for Population Sciences, Mumbai, 400088, India. amiyasaha4444@gmail.com.ORCID 0000-0001-8703-8623
Bittu MandalSchool of Humanities and Social Sciences, Indian Institute of Technology, Indore, 453552, India.ORCID 0000-0002-8764-4946
T MuhammadCenter for Healthy Aging, The Pennsylvania State University, University park, 16802, USA.ORCID 0000-0003-1486-7038
Waad AliDepartment of Geography, Sultan Qaboos University, Muscat, 123, Oman.ORCID 0000-0003-3482-5396
Indian Institute of Technology Indore · INInternational Institute for Population Sciences · INPennsylvania State University · USSultan Qaboos University · OM

Funding

Integrting Information About Aging SurveysR01AG030153 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Sara Adar, Alden L. Gross · 2007 to 2026
$41.7M
The Longitudinal Aging Study in IndiaR01AG042778 · NIA · HARVARD SCHOOL OF PUBLIC HEALTH · PI AROKIASAMY, PERIANAYAGAM, BLOOM, DAVID E · 2013 to 2019
$9.0M
NIA NIH HHS R01 AG030153NIA NIH HHS R01 AG042778
6 · The paper itself

Abstract

backgroundIn India, the prevalence of depression among older adults dealing with multiple health conditions varies between rural and urban areas due to disparities in healthcare access and cultural factors. The distinct patterns observed underscore the necessity for tailored research and interventions to address mental health inequalities among multimorbid older patients in diverse geographic contexts.

methodsThis study used data from the Longitudinal Ageing Study in India (LASI) wave 1 (2017-18). A total of 7,608 adults aged ≥ 60 years who were diagnosed with two or more chronic conditions (such as hypertension, diabetes, cancer, chronic lung disease, chronic heart diseases, stroke, bone/joint disease, any neurological or psychiatric diseases, and high cholesterol) were included in this study. Descriptive statistics, bivariate analysis, logistic regression estimates, and Fairlie decomposition method were used to accomplish the study's objectives.

resultsThe prevalence of depression among older adults with multimorbidity was 9.48% higher in rural areas (38.33%) than in urban areas (28.85%).. Older adults with multimorbidity belonging to the scheduled caste group were 40% more likely to experience depression. Moreover, those with multimorbidity and any form of disability in activities of daily living (ADL) were 93% more likely to experience depression than those without disability, whereas those with multimorbidity and perceived good general health were 65% less likely to suffer from depression than those with poor self-perceived health. Additionally, decomposition analysis revealed that education (35.99%), caste status (10.30%), IADL disability (19.30%), and perceived discrimination (24.25%) were the primary factors contributing to the differences in depression prevalence among older adults with multimorbidity between rural and urban areas.

conclusionsWe found significant rural-urban differences in depression among older Indians with multimorbidity. The findings underscore the need for targeted interventions that address the unique challenges faced by older patients in rural areas, including lack of social capital, discrimination, and limited resources that enable access to healthcare services. Policymakers and healthcare professionals must collaboratively design and implement effective strategies to improve the mental health and overall well-being of rural older adults, particularly those with multiple comorbidities.

Indexed as

Activities of Daily LivingMultimorbidityAgedAgingCross-Sectional StudiesDepressionHumansDepressionLASIMultimorbidityOlder adultsRural–urban

Identifiers

PMID38254089
PMCPMC10804604
OpenAlexW4391101883

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.