Evidence map›Paper›PMID 38302921›Full record

SynthesisBMC medicine2024

Daily routine disruptions and psychiatric symptoms amid COVID-19: a systematic review and meta-analysis of data from 0.9 million individuals in 32 countries.

Huinan Liu, Tiffany Junchen Tao, Selina Kit Yi Chan, Jeremy Chi Him Ma, Abby Yan Tung Lau, Ernest Tsun Fung Yeung, Stevan E Hobfoll, Wai Kai Hou

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMC medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
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  10. Constipation and Psychiatric Disorders: A Bidirectional Mendelian Randomization Study.Combinatorial chemistry & high throughput screening · 2026
    Article
  11. When Routines Break: The Health Implications of Disrupted Daily Life.American journal of lifestyle medicine · 2026
    Review
  12. Article
  13. Article
  14. Article
  15. Article
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  18. Observational
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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

8 authors.

Huinan Liu *Centre for Psychosocial Health, The Education University of Hong Kong, Hong Kong SAR, China.
Tiffany Junchen Tao *Centre for Psychosocial Health, The Education University of Hong Kong, Hong Kong SAR, China.
Selina Kit Yi ChanCentre for Psychosocial Health, The Education University of Hong Kong, Hong Kong SAR, China.
Jeremy Chi Him MaCentre for Psychosocial Health, The Education University of Hong Kong, Hong Kong SAR, China.
Abby Yan Tung LauCentre for Psychosocial Health, The Education University of Hong Kong, Hong Kong SAR, China.
Ernest Tsun Fung YeungCentre for Psychosocial Health, The Education University of Hong Kong, Hong Kong SAR, China.
Stevan E HobfollSTAR Consultants-STress, Anxiety and Resilience, Salt Lake City, UT, USA.
Wai Kai HouCentre for Psychosocial Health, The Education University of Hong Kong, Hong Kong SAR, China. wkhou@eduhk.hk.ORCID 0000-0003-1402-2318

Funding

Research Grants Council, University Grants Committee, Hong Kong SAR, China 18600320
6 · The paper itself

Abstract

backgroundThere is currently a deficit of knowledge about how to define, quantify, and measure different aspects of daily routine disruptions amid large-scale disasters like COVID-19, and which psychiatric symptoms were more related to the disruptions. This study aims to conduct a systematic review and meta-analysis on the probable positive associations between daily routine disruptions and mental disorders amid the COVID-19 pandemic and factors that moderated the associations.

methodsPsycINFO, Web of Science, PubMed, and MEDLINE were systematically searched up to April 2023 (PROSPERO: CRD42023356846). Independent variables included regularity, change in frequency, and change in capability of different daily routines (i.e., physical activity, diet, sleep, social activities, leisure activities, work and studies, home activities, smoking, alcohol, combined multiple routines, unspecified generic routines). Dependent variables included symptoms and/or diagnoses of mental disorders (i.e., depression, anxiety, post-traumatic stress disorder, and general psychological distress).

resultsFifty-three eligible studies (51 independent samples, 910,503 respondents) were conducted in five continents. Daily routine disruptions were positively associated with depressive symptoms (r = 0.13, 95% CI = [0.06; 0.20], p < 0.001), anxiety symptoms (r = 0.12, 95% CI = [0.06; 0.17], p < 0.001), and general psychological distress (r = 0.09, 95% CI = [0.02; 0.16], p = 0.02). The routine-symptom associations were significant for physical activity, eating, sleep, and smoking (i.e., type), routines that were defined and assessed on regularity and change in capability (i.e., definition and assessment), and routines that were not internet-based. While the positive associations remained consistent across different sociodemographics, they were stronger in geo-temporal contexts with greater pandemic severity, lower governmental economic support, and when the routine-symptom link was examined prospectively.

conclusionsThis is one of the first meta-analytic evidence to show the positive association between daily routine disruptions and symptoms of mental disorders among large populations as COVID-19 dynamically unfolded across different geo-temporal contexts. Our findings highlight the priority of behavioral adjustment for enhancing population mental health in future large-scale disasters like COVID-19.

Indexed as

COVID-19Stress Disorders, Post-TraumaticAnxietyAnxiety DisordersDepressionHumansPandemicsCOVID-19Daily routinesLarge-scale disastersMental disordersSocial and environmental determinants

Identifiers

PMID38302921
PMCPMC10835995

What Socratic holds

Textmetadata
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 Socratic graph.