Evidence map›Paper›PMID 37916185›Full record

ArticleSSM - population health2023

The impact of COVID-19 on physical and mental health: A longitudinal study.

Yaqin Joyce Su, Dong Zhou

Abstract read
In one paragraph

Article in SSM - population health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. 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

2 authors.

Yaqin Joyce SuCenter for Economics, Finance and Management Studies (CEFMS), Hunan University, China.
Dong ZhouDepartment of Cultural Industries and Management, Shanghai Jiao Tong University, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper, we exploit variation in COVID-19 infections and deaths across Chinese cities to identify the health impacts of COVID-19 based on longitudinal data at the individual level. Our paper provides empirical evidence of the immediate impact of COVID-19 on both physical and mental health. Utilizing a difference-in-differences methodology and focusing on changes in within-individual health condition between pre-COVID-19 and the early stages of COVID-19, we find robust evidence that the COVID-19 pandemic has an adverse effect on self-perceived health condition, chronic illness, sleep, and depression. Our findings are robust to alternative constructions of cities' exposure to COVID-19, to the exclusion of Wuhan city, which was hit the hardest and had experienced the most stringent lockdowns. Furthermore, accounting for the impact of COVID-19 policies, our results indicate that the decline in physical health can be attributed to the shock of the pandemic, while emotional health is mainly affected by anti-contagion policies.

Indexed as

A longitudinal studyCOVID-19HealthMental healthPhysical health

Identifiers

PMID37916185
PMCPMC10616548

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.