Evidence map›Paper›PMID 35886572›Full record

ArticleInternational journal of environmental research and public health2022

The Impact of Social Pension Schemes on the Mental Health of the Chinese Elderly: A Mediating Effect Perspective of Two-Way Intergenerational Support.

Dongling Zhang, Yanyan Wang, Yuxin Jiao

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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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

11 citing papers in PubMed.

  1. Article
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  4. Review
  5. Article
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  10. Article
  11. Depressive symptoms and receipt of pensions: a cross-sectional analysis of the ELSI-Brazil study.Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil · 2023
    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

3 authors.

Dongling ZhangSchool of Economics, Qingdao University, Qingdao 266061, China.
Yanyan WangSchool of Economics, Qingdao University, Qingdao 266061, China.ORCID 0000-0002-6768-6591
Yuxin JiaoSchool of Economics, Qingdao University, Qingdao 266061, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the rapid decline in China's fertility rate, the acceleration of aging, the continuous miniaturization and nucleation of China's family structure, and the deterioration of the elderly's living conditions and mental states, the elderly's mental health has emerged as a major public health issue and a major social problem. Pensions are the elderly's primary source of income, and they can help them meet their basic needs while also promoting family harmony and improving their mental health. Based on the data of the 2012, 2016, and 2018 Chinese Family Panel Studies (CFPS), we empirically examined the impact of pensions on the elderly's mental health by using the fixed effects model, mediating effect model, and so on. The results show that receiving pension benefits can significantly reduce the level of depression and improve the mental health of the elderly. Receiving pension benefits causes reverse intergenerational economic transfer, which reduces the effect of pensions on the elderly's mental health to some extent, but the life care and mental comfort provided by children increases when the elderly share pensions with their children. Overall, receiving pension benefits improves the mental health of the elderly. In addition, the effect of pensions on the elderly with different characteristics is heterogeneous. The older elderly, women, the elderly living with their children, and the elderly in rural areas all benefit more from receiving pension benefits. Moreover, the worse the mental health of the elderly is, the stronger the influence of pensions on their mental health is. Our discussion has important policy implications.

Indexed as

Mental HealthPensionsAgedChildChinaFamily RelationsFemaleHumansIncomemental health of elderlypension schemesquantile regressionreverse intergenerational transfertwo-way intergenerational support

Identifiers

PMID35886572
PMCPMC9316007

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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.