Evidence map›Paper›PMID 36522623›Full record

ArticleBMC public health2022

Chronic diseases and productivity loss among middle-aged and elderly in India.

Shamrin Akhtar, Sanjay K Mohanty, Rajeev Ranjan Singh, Soumendu Sen

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
4.5field-weighted citation impact, top 5% 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

5 citing papers in PubMed, 17 citations in OpenAlex.

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  5. Haemochromatosis patients' research priorities: Towards an improved quality of life.Health expectations : an international journal of public participation in health care and health policy · 2023
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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 1 institution in 1 country.

Shamrin AkhtarInternational Institute for Population Sciences, Mumbai, Maharashtra, 400088, India. ishamrinakhtar@gmail.com.
Sanjay K MohantyDepartment of Population and Development, International Institute for Population Sciences, Mumbai, 400088, India.
Rajeev Ranjan SinghInternational Institute for Population Sciences, Mumbai, Maharashtra, 400088, India.
Soumendu SenInternational Institute for Population Sciences, Mumbai, Maharashtra, 400088, India.
International Institute for Population Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextChronic diseases are growing in India and largely affecting the middle-aged and elderly population; many of them are in working age. Though a large number of studies estimated the out-of-pocket payment and financial catastrophe due to this condition, there are no nationally representative studies on productivity loss due to health problems. This paper examined the pattern and prevalence of productivity loss, due to chronic diseases among middle-aged and elderly in India.

methodsWe have used a total of 72,250 respondents from the first wave of Longitudinal Ageing Study in India (LASI), conducted in 2017-18. We have used two dependent variables, limiting paid work and ever stopped work due to ill health. We have estimated the age-sex adjusted prevalence of ever stopped working due to ill health and limiting paid work across MPCE quintile and socio- demographic characteristics. Propensity Score Matching (PSM) and logistic regression was used to examine the effect of chronic diseases on both these variables.

findingsWe estimated that among middle aged adults in 45-64 years, 3,213 individuals accounting to 6.9% (95%CI:6.46-7.24) had ever-stopped work and 6,300 individuals accounting to 22.7% (95% CI: 21.49-23.95) had limiting paid work in India. The proportion of ever-stopped and limiting work due to health problem increased significantly with age and the number of chronic diseases. Limiting paid work is higher among females (25.1%), and in urban areas (24%) whereas ever-stopped is lower among female (5.7%) (95% CI:5.16-6.25 ) and in urban areas (4.9%) (95% CI: 4.20-5.69). The study also found that stroke (21.1%) and neurological or psychiatric problems (18%) were significantly associated with both ever stopped work and limiting paid work. PSM model shows that, those with chronic diseases are 4% and 11% more likely to stop and limit their work respectively. Regression model reveals that more than one chronic conditions had a consistent and significant positive impact on stopping work for over a year (increasing productivity loss) across all three models.

conclusionIndividuals having any chronic disease has higher likelihood of ever stopped work and limiting paid work. Promoting awareness, screening and treatment at workplace is recommended to reduce adverse consequences of chronic disease in India.

Indexed as

AgingAdultAgedChronic DiseaseFemaleHumansIndiaMiddle AgedPrevalenceSocioeconomic FactorsChronic diseasesElderlyEver-stopped workIndiaLimiting paid workMiddle-agedProductivity loss

Identifiers

PMID36522623
PMCPMC9756765
OpenAlexW4312019074

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.