Evidence map›Paper›PMID 39915779›Full record

ArticleBMC public health2025

Changes of well-being over the pandemic: a survey across generational cohorts.

Chen Wang, Yizi Nie, Xiaoyu Lan, Qianqian Huang, Qunsen Dai, Chao Zhou

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC public health, 2025. 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

6 authors.

Chen WangCenter for Brain, Mind and Education, Shaoxing University, Shaoxing, 312000, China.
Yizi NieDepartment of Psychology, Shaoxing University, Shaoxing, 312000, China.
Xiaoyu LanDepartment of Psychology, University of Oslo, Oslo, Norway.
Qianqian HuangDepartment of Psychology, Shaoxing University, Shaoxing, 312000, China.
Qunsen DaiDepartment of Psychology, Shaoxing University, Shaoxing, 312000, China.
Chao ZhouCollege of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, 310000, China. chaozhou@zjut.edu.cn.

Funding

Department of Education of Zhejiang Province Y202248445Humanities and Social Sciences Youth Foundation, Ministry of Education 23YJC710134Zhejiang Office of Philosophy and Social Science 24YJRC11ZD-1YB
6 · The paper itself

Abstract

Psychological problems (e.g., depression and anxiety) have been widely studied as an important public health issue in the background of the pandemic, whereas the positive aspects (e.g., well-being) have been paid little attention. The present study aimed to investigate the effects of the COVID-19 pandemic and generations on well-being by adopting 5 groups (Post-00s, Post-90s, Post-80s, Post-70s, and Post-60s) × 2 time points (before and during the COVID-19 pandemic) mixed factorial design. A total of 1579 Chinese adults completed the self-report survey, and a valid sample of 1529 adults from five generational cohorts was included in the data analysis. Results of the mixed factorial ANOVAs and simple effects analyses showed significant interaction effects on some dimensions of well-being. Specifically, the Post-80s exhibited a significant increase in both Engagement and Accomplishment of well-being during the pandemic, and the Post-60s generation demonstrated a significant improvement in Engagement of well-being. However, the other generations did not show significant changes. It could be concluded that the effects of the pandemic on well-being are complicated across generations.

Indexed as

COVID-19Intergenerational RelationsMental HealthPandemicsAdolescentAdultAgedAged, 80 and overChinaCohort StudiesFemaleHumansMaleMiddle AgedSelf ReportSurveys and QuestionnairesChinese adultsGenerationsPandemicWell-being

Identifiers

PMID39915779
PMCPMC11800595

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.