Evidence map›Paper›PMID 40751865›Full record

ArticleDiscover mental health2025

Coping behaviors and mental health during the COVID-19 pandemic: situational and habitual effects on mental distress with hybrid model analysis.

Soyoung Kwon

Abstract read
In one paragraph

Article in Discover mental health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

1 author.

Soyoung KwonSchool of Economic, Political and Policy Sciences, The University of Texas at Dallas, Richardson, TX, USA. Soyoung.Kwon@UTDallas.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic brought about widespread mental health challenges. Yet, its mental health impacts vary depending on the coping strategies people adopt to manage stress. The COVID-19 pandemic, with its rapidly changing circumstances, provides an opportune context to examine how different coping behaviors are linked to mental distress. This study explores four coping approaches-social connection, substance use, social media use, and relaxation techniques-to assess how they relate to mental distress over time during the pandemic at both situational (within-person) and habitual (between-person) levels.

methodsUsing a hybrid model, this study analyzed longitudinal data from the Understanding American Study (UAS), spanning from April 2020 to June 2021. This approach allowed for differentiating between within-person (how changes in an individual's coping behaviors related to their own mental health over time) and between-person effects (how individuals with different coping behaviors, on average, compare in terms of mental health outcomes).

resultsAdaptive coping behaviors like social connection and relaxation coping were linked to lower mental distress at both within-person and between-person levels, with stronger between-person effects. Substance use and social media use were associated with increased mental distress, suggesting potential risks in their use, especially when these behaviors become habitual. Roughly 20-52.39% of the between-person effects of coping behaviors were explained by sociodemographic characteristics.

conclusionBy recognizing the value of stable, adaptive coping habits-while also accounting for how situational changes impact well-being-policymakers and practitioners can craft more effective interventions to foster mental resilience during public health crises.

Indexed as

Adaptive and maladaptive copingBetween-person differenceCopingMental distressWithin-person change

Identifiers

PMID40751865
PMCPMC12317949

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.