Evidence map›Paper›PMID 37233884›Full record

ArticleGeroScience2024

Spousal multimorbidity and depressive symptoms among older Indian couples: Do one's own health status and sex matter?

Soohyeon Ko, Sungchul Park, Jinho Kim, S V Subramanian, Rockli Kim

Abstract read
In one paragraph

Article in GeroScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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

5 authors.

Soohyeon KoDepartment of Public Health Sciences, Graduate School of Korea University, Seoul, Republic of Korea.
Sungchul ParkDivision of Health Policy and Management, College of Health Science, Korea University, Seoul, Republic of Korea.
Jinho KimInterdisciplinary Program in Precision Public Health, Korea University, Seoul, Republic of Korea.
S V SubramanianHarvard Center for Population and Development Studies, Cambridge, MA, USA.
Rockli KimInterdisciplinary Program in Precision Public Health, Korea University, Seoul, Republic of Korea. rocklikim@korea.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the aging population, increases in non-communicable diseases that require chronic management pose a substantial economic and social burden to individuals with multimorbid conditions and their spousal caregivers. However, little is known about the crossover effect of spousal multimorbidity on mental health outcomes in the context of low- and middle-income countries, and whether it depends on one's own health status and sex. We examined the association between spousal multimorbidity and depressive symptoms using data on 6,158 older couples (12,316 individuals aged 60 years or above) from the Longitudinal Aging Study in India (LASI) 2017-18. Overall, 23.4% of the sample were multimorbid and 27.0% reported having depressive symptoms in the past week. Multivariable logistic regression models showed that spousal multimorbidity was associated with depressive symptoms, even after accounting for one's own multimorbidity status (OR: 1.23; 95% CI: 1.06-1.44). However, this association varied by sex. Among males, their own multimorbidity status was associated with 60% higher odds of having depressive symptoms (OR: 1.60; 95% CI: 1.28-2.00), but spousal multimorbidity was not. Furthermore, for males, the association between spousal multimorbidity and depressive symptoms was contingent upon the presence of their own multimorbidity. Among females, spousal multimorbidity was significantly associated with depressive symptoms, regardless of their own multimorbidity status. Our findings indicate that interventions to promote healthy aging should expand the formal caregiving system and consider family-based approaches to minimize the crossover health consequences of chronic morbidity in conjugal relationships, especially for females.

Indexed as

DepressionMultimorbidityAgedAgingFemaleHealth StatusHumansLongitudinal StudiesMaleDepressive symptomsIndiaLongitudinal Aging Study in IndiaMultimorbiditySexSpousal dyads

Identifiers

PMID37233884
PMCPMC10828161

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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.