Evidence map›Paper›PMID 33602174›Full record

ArticleBMC public health2021

The association between mental-physical multimorbidity and disability, work productivity, and social participation in China: a panel data analysis.

Tianxin Pan, Stewart W Mercer, Yang Zhao, Barbara McPake, Allissa Desloge, Rifat Atun, Emily Susannah Grace Hulse, John Tayu Lee

Abstract read
In one paragraph

Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  9. Defining and measuring complex multimorbidity: a critical analysis.The British journal of general practice : the journal of the Royal College of General Practitioners · 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

8 authors.

Tianxin PanMelbourne School of Population and Global Health, The University of Melbourne, 207 Bouverie Street, Melbourne, Victoria, 3010, Australia. tianxin.pan1@unimelb.edu.au.ORCID 0000-0002-2243-8818
Stewart W MercerUsher Institute, College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, UK.
Yang ZhaoThe George Institute for Global Health at Peking University Health Science Center, Beijing, China.
Barbara McPakeMelbourne School of Population and Global Health, The University of Melbourne, 207 Bouverie Street, Melbourne, Victoria, 3010, Australia.
Allissa DeslogeMelbourne School of Population and Global Health, The University of Melbourne, 207 Bouverie Street, Melbourne, Victoria, 3010, Australia.
Rifat AtunHarvard T.H. Chan School of Public Health, Harvard University, Cambridge, USA.
Emily Susannah Grace HulseMelbourne School of Population and Global Health, The University of Melbourne, 207 Bouverie Street, Melbourne, Victoria, 3010, Australia.
John Tayu LeeMelbourne School of Population and Global Health, The University of Melbourne, 207 Bouverie Street, Melbourne, Victoria, 3010, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe co-occurrence of mental and physical chronic conditions (mental-physical multimorbidity) is a growing and largely unaddressed challenge for health systems and wider economies in low-and middle-income countries. This study investigated the independent and combined (additive or synergistic) effects of mental and physical chronic conditions on disability, work productivity, and social participation in China.

methodsPanel data study design utilised two waves of the China Health and Retirement Longitudinal Study (2011, 2015), including 5616 participants aged ≥45 years, 12 physical chronic conditions and depression. We used a panel data approach of random-effects regression models to assess the relationships between mental-physical multimorbidity and outcomes.

resultsAfter adjusting for socio-economic and demographic factors, an increased number of physical chronic conditions was independently associated with a higher likelihood of disability (Adjusted odds ratio (AOR) = 1.39; 95% CI: 1.33, 1.45), early retirement (AOR = 1.37 [1.26, 1.49]) and increased sick leave days (1.25 days [1.16, 1.35]). Depression was independently associated with disability (AOR = 3.78 [3.30, 4.34]), increased sick leave days (2.18 days [1.72, 2.77]) and a lower likelihood of social participation (AOR = 0.57 [0.47, 0.70]), but not with early retirement (AOR = 1.24 [0.97, 1.58]). There were small and statistically insignificant interactions between physical chronic conditions and mental health on disability, work productivity and social participation, suggesting an additive effect of mental-physical multimorbidity on productivity loss.

conclusionMental-physical multimorbidity poses substantial negative health and economic effects on individuals, health systems, and societies. More research that addresses the challenges of mental-physical multimorbidity is needed to inform the development of interventions that can be applied to the workplace and the wider community in China.

Indexed as

MultimorbiditySocial ParticipationChinaChronic DiseaseData AnalysisHumansLongitudinal StudiesMiddle AgedChinaDisabilityEconomic impactMental health conditionsMultimorbidityPhysical conditionsProductivity

Identifiers

PMID33602174
PMCPMC7890601

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Registered trials

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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.