Evidence map›Paper›PMID 39764194›Full record

ArticleFrontiers in public health2024

Macro-level socioeconomic factors and mental health in midlife and older adults in China: a multilevel analysis.

Guannan Li, Gindo Tampubolon, Asri Maharani, Chenglin Tu

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Guannan LiGlobal Development Institute, School of Environment, Education and Development, The University of Manchester, Manchester, United Kingdom.
Gindo TampubolonGlobal Development Institute, School of Environment, Education and Development, The University of Manchester, Manchester, United Kingdom.
Asri MaharaniDivision of Nursing, Midwifery and Social Work, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom.
Chenglin TuGuangzhou Development Academy, Guangzhou University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study explores the associations between four macro-level factors-Economic Development (ED), Economic Inequality (EI), Governmental Willingness and capacities to invest in Public Health (GWPH) and Public Health-Related Infrastructures (PHRI)-and three mental health indicators: depressive symptoms, cognitive function and life satisfaction, among middle-aged and older adults in China. Materials and methods: We obtained individual-level data from the Harmonised China Health and Retirement Longitudinal Survey (H-CHARLS) 2018 and acquired our provincial-level data from the Chinese Statistical Yearbook. Two-level linear mixed models are used to examine the associations. Supplementary analyses are carried out to test the robustness of the study. Results: There are provincial variations in macro-level factors. Depressive symptoms and cognitive functions also vary across provinces, whereas life satisfaction does not. We find that ED contributes to better depressive status. EI contributes to worse cognitive functions and life dissatisfaction. GWPH and PHRI are not associated with mental health. Conclusion: The study suggests that macro-level ED contributes to better depressive status. EI and potential systematic inequality lead to worsened cognitive functions and life dissatisfaction. It is too soon to generalise whether institutional factors like GWPH and PHRI are good or bad for mental health, but the current public health system in China does not adequately support mental and cognitive health.

Indexed as

DepressionMental HealthMultilevel AnalysisSocioeconomic FactorsAgedChinaCognitionEconomic DevelopmentFemaleHumansLongitudinal StudiesMaleMiddle AgedPersonal Satisfactioncognitive functiondepressioneconomic developmenteconomic inequalityhealth infrastructurelife satisfactionmental health

Identifiers

PMID39764194
PMCPMC11701142

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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.