Cited by 138Physical Activity and HealthMental Health Treatment and AccessHealth disparities and outcomes

Relationship between sedentary behavior and depression: a mediation analysis of influential factors across the lifespan among 42,469 people in low- and middle-income countries

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Stubbs, Brendon, Vancampfort, Davy, Firth, Joseph, Schuch, Felipe B., Hallgren, Mats, Smith, Lee, Gardner, Benjamin, Kahl, Kai.G. +4 more·2018·Journal of Affective Disorders

Abstract

Background Sedentary behavior (SB) is associated with diabetes, cardiovascular disease and low mood. There is a paucity of multi-national research investigating SB and depression, particularly among low- and middle-income countries. This study investigated the association between SB and depression, and factors which influence this.Methods Cross-sectional data were analyzed from the World Health Organization's Study on Global Ageing and Adult Health. Depression was based on the Composite International Diagnostic Interview. The association between depression and SB (self-report) was estimated by multivariable linear and logistic regression analyses. Mediation analysis was used to identify influential factors.Results A total of 42,469 individuals (50.1% female, mean 43.8 years) were included. People with depression spent 25.6 (95%CI8.5-42.7) more daily minutes in SB than non-depressed participants. This discrepancy was most notable in adults aged ≥ 65y (35.6min more in those with depression). Overall, adjusting for socio-demographics and country, depression was associated with a 1.94 (95%CI1.31-2.85) times higher odds for high SB (i.e., ≥ 8h/day). The largest proportion of the SB-depression relationship was explained by mobility limitations (49.9%), followed by impairments in sleep/energy (43.4%), pain/discomfort (31.1%), anxiety (30.0%), disability (25.6%), cognition (16.1%), and problems with vision (11.0%). Other health behaviors (physical activity, alcohol consumption, smoking), body mass index, and social cohesion did not influence the SB-depression relationship.Conclusion People with depression are at increased risk of engaging in high levels of SB. This first multi-national study offers potentially valuable insight for a number of hypotheses which may influence this relationship, although testing with longitudinal studies is needed.

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  • Anhedonia and low energy level can manifest as reduced physical activity, which can be measured using GPS and motion sensors embedded in smartphones or wearable sensors.

    “Anhedonia and low energy level can manifest as reduced physical activity (19, 20), which can be measured using GPS and motion sensors embedded in smartphones or wearable sensors.”

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Authors
Stubbs, B., Vancampfort, D., Firth, J., Schuch, F. B., Hallgren, M., Smith, L., Gardner, B., Kahl, K. G., Veronese, N., Solmi, M., Carvalho, A. F., & Koyanagi, A.
Affiliations
  • National Health Service (GB)
  • KU Leuven (BE)
  • University of Manchester (GB)
  • Universidade Federal do Rio Grande do Sul (BR)
  • Karolinska Institutet (SE)
  • Anglia Ruskin University (GB)
  • King's College London (GB)
  • Medizinische Hochschule Hannover (DE)
  • National Research Council (IT)
  • University of Padua (IT)
  • Instituto de Salud Carlos III (ES)
Corresponding author
Stubbs, Brendon
Venue
Journal of Affective Disorders
Publisher
Elsevier BV
Published
2018-03
Volume
229
Pages
231-238
ISSN
0165-0327 (ISSN-L)
OpenAlex
W2781664604
Cited by
138
References
75
Citations by year
2026: 5 · 2025: 9 · 2024: 17 · 2023: 15 · 2022: 17 · 2021: 27 · 2020: 18 · 2019: 19 · 2018: 11
FWCI
12.86
Type
journal article
Language
en
Open access
Locations
  • Journal of Affective Disorders (publishedVersion)
  • PubMed (publishedVersion)
  • LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (publishedVersion, other-oa)
  • Research Portal (King's College London) (acceptedVersion, cc-by-nc-nd)
  • Anglia Ruskin Research Online (Anglia Ruskin University) (submittedVersion)
  • Figshare (submittedVersion, cc-by-nc-nd)
  • Figshare (submittedVersion)
  • Nova Science Publishers (Nova Science Publishers, Inc.) (submittedVersion)
  • Lirias (KU Leuven) (submittedVersion)
  • Research Explorer (The University of Manchester) (submittedVersion)
  • Padua Research Archive (University of Padova) (submittedVersion, cc-by-nc-nd)
Funders
  • ISCIII - General Branch Evaluation and Promotion of Health Research - and the European Regional Development Fund (CP13/00150, PI15/00862)
  • National Institute for Health Research Collaboration for Leadership in Applied Health Research & Care Funding scheme
Topics
  • Health Sciences › Medicine › Physiology › Physical Activity and Health
  • Social Sciences › Psychology › Social Psychology › Mental Health Treatment and Access
  • Social Sciences › Health › Health disparities and outcomes
Keywords
sedentary behavior, depression, mediation analysis, mobility limitations, sleep disorders, pain and discomfort, anxiety, disability, cognitive impairment, vision problems, low- and middle-income countries, older adults, physical activity, alcohol consumption, smoking, body mass index, social cohesion
MeSH terms
Adult, Aged, Cross-Sectional Studies, Depressive Disorder, Developing Countries, Female, Humans, Male, Middle Aged, Exercise, Body Mass Index, Prevalence, Logistic Models, Young Adult, Sedentary Behavior

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