Evidence map›Paper›PMID 35971068›Full record

ArticleBMC geriatrics2022

Association of multi-morbidity, social participation, functional and mental health with the self-rated health of middle-aged and older adults in India: a study based on LASI wave-1.

Gursimran Singh Rana, Anandi Shukla, Akif Mustafa, Mahadev Bramhankar, Balram Rai, Mohit Pandey, Nand Lal Mishra

Abstract read
In one paragraph

Article in BMC geriatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–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

17 citing papers in PubMed.

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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

7 authors.

Gursimran Singh RanaInternational Institute for Population Sciences (IIPS), Mumbai, 400088, India. g.srana96@gmail.com.
Anandi ShuklaInternational Institute for Population Sciences (IIPS), Mumbai, 400088, India.
Akif MustafaInternational Institute for Population Sciences (IIPS), Mumbai, 400088, India.
Mahadev BramhankarInternational Institute for Population Sciences (IIPS), Mumbai, 400088, India.
Balram RaiInternational Institute for Population Sciences (IIPS), Mumbai, 400088, India.
Mohit PandeyInternational Institute for Population Sciences (IIPS), Mumbai, 400088, India.
Nand Lal MishraInternational Institute for Population Sciences (IIPS), Mumbai, 400088, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Self-rated health (SRH) is a well-established measure in public health to administer the general health of an individual. It can also be used to assess overall health status' relationship with the social, physical, and mental health of a person. In this study, we examine the association of SRH and various socio-economic & health-related factors such as multi-morbidity status, mental health, functional health, and social participation. Data used in this paper is collated from the first wave of Longitudinal Ageing Study in India (LASI) 2017-18. A total of 65,562 older adults aged 45 or above are considered in our study. Various indices (multimorbidity, social participation, functional and mental health) have been created to measure factors influencing the SRH of an individual. Overall, in the study population, around 18.4% of people reported poor SRH. Dominance Analysis results show that the contribution of multimorbidity in predicting poor SRH is highest, followed by functional health, mental health, and social participation. In a developing country like India, there is a dire need for policies having a holistic approach regarding the health and well-being of the older population.

Indexed as

MultimorbiditySocial ParticipationAgedAgingHealth StatusHumansIndiaMental HealthMiddle AgedElderly healthFunctional healthMental healthOlder adultsSocial participation indexSRH

Identifiers

PMID35971068
PMCPMC9380344

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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.