Evidence map›Paper›PMID 35270202›Full record

ArticleInternational journal of environmental research and public health2022

Impact of Natural Disasters on Mental Health: A Cross-Sectional Study Based on the 2014 China Family Panel Survey.

Rui Zhang, Yunzhi Zhang, Zhe Dai

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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Household Wealth and Individuals' Mental Health: Evidence from the 2012-2018 China Family Panel Survey.International journal of environmental research and public health · 2022
    Article
  7. Relationship between Income and Mental Health during the COVID-19 Pandemic in China.International journal of environmental research and public health · 2022
    Article
  8. Article
  9. 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.

Rui ZhangDepartment of Economics, Jinan University, Guangzhou 510632, China.ORCID 0000-0001-7672-7845
Yunzhi ZhangDepartment of Economics, Jinan University, Guangzhou 510632, China.ORCID 0000-0002-5819-9871
Zhe DaiLaw School, Jinan University, Guangzhou 510632, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mental health problems are a leading cause of disability in both developed and developing countries, and the consequences of mental health disorders for individuals, families, and society as a whole could be severe and costly. To supplement relevant research and provide insightful policy suggestions to families, government and societies, this study investigates the nexus between natural disasters and mental health for middle-aged and older adults in rural China. Based on data of 8721 observations from the 2014 China Family Panel Studies, we estimate the effects of natural disasters on mental health using ordinary least squares and propensity score matching. Our findings suggest that natural disasters have a significant negative effect on middle-aged and older adults' mental health in the case of rural China. This effect is heterogeneous depending on individuals' education level and their agricultural production status. Finally, individuals' happiness and life satisfaction are shown to be the potential mechanism through which the effect of natural disasters on mental health operates.

Indexed as

Mental DisordersNatural DisastersAgedChinaCross-Sectional StudiesHumansMental HealthMiddle Agedhappinesslife satisfactionmental healthnatural disasters

Identifiers

PMID35270202
PMCPMC8908990

What OpenQuestion holds

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LicenceCC BY
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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.