Evidence map›Paper›PMID 40615935›Full record

ArticleBMC psychology2025

An age and gender stratified interview on emotional experiences and coping of Chinese migrants in Canada amidst the pandemic.

Lixia Yang, Yating Ding, Miao Wang, Jingya Xie, Weiguo Zhang, Peizhong Peter Wang

Abstract read
In one paragraph

Article in BMC psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Lixia YangToronto Metropolitan University, Toronto, ON, Canada. lixiay@torontomu.ca.
Yating DingToronto Metropolitan University, Toronto, ON, Canada.
Miao WangToronto Metropolitan University, Toronto, ON, Canada.
Jingya XieTed Rogers School of Management, Toronto Metropolitan University, Toronto, ON, Canada.
Weiguo ZhangDepartment of Sociology, University of Toronto Mississauga, Mississauga, ON, Canada.
Peizhong Peter WangDivision of Population Health and Applied Health Sciences, Faculty of Medicine, Memorial University, St. John's, NL, Canada.

Funding

New Frontiers Research Fund through the Canadian Institute of Health Research (CIHR) NFRF-2019-00012
6 · The paper itself

Abstract

The COVID-19 pandemic had a profound impact on psychological wellbeing. The current study aims to identify common emotional experiences and coping strategies among Chinese migrants in Canada based on a semi-structured interview with a purposive sample of 20 young (aged 21-34), 21 middle-aged (aged 42-57), and 20 older adults (aged 65-85). Each age group was approximately split in half by gender. The qualitative analysis of the data identified some common positive (e.g., self-oriented, other-oriented and situational) and negative emotional experiences (e.g., sadness, loneliness, fear, and anger) towards the pandemic. Coping strategies were categorized into three themes: behavioural (e.g., exercise, relaxation), social (e.g., social support), and cognitive (e.g., reappraisal). The supplementary quantitative analysis showed that women reported more negative than positive experiences, while older adults (women particularly) endorsed differentially more behavioural coping. This suggests that women are likely to be emotionally vulnerable and aging is likely to be associated with more adaptive coping among this population in the context of the pandemic.

Indexed as

Adaptation, PsychologicalCOVID-19EmotionsTransients and MigrantsAdultAgedAged, 80 and overAge FactorsCanadaEast Asian PeopleFemaleHumansMaleMiddle AgedPandemicsQualitative ResearchChinese migrantsCopingCOVID-19 pandemicEmotional experiencesPsychological well being

Identifiers

PMID40615935
PMCPMC12228377

What OpenQuestion holds

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LicenceCC BY
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.