Global time trends of perceived loneliness among adolescents from 28 countries in Africa, Asia, and the Americas
Open accessAbstract
Background Perceived loneliness in adolescence is associated with a plethora of adverse outcomes. However, data on its temporal trends are scarce. Therefore, we aimed to examine the temporal trend of perceived loneliness among school-going adolescents aged 12-15 years from 28 countries in Africa, Asia, and the Americas, where temporal trends of loneliness are largely unknown. Methods Cross-sectional data from the Global School-based Student Health Survey 2003-2017 were analyzed. Perceived loneliness referred to feeling lonely most of the time or always in the past 12 months. Crude linear trends of perceived loneliness by country were assessed by linear regression models. Results Data on 180,087 adolescents aged 12-15 years were analyzed [Mean (SD) age 13.7 (1.0) years; 51.4 % females]. The overall prevalence of perceived loneliness was 10.7 %. Among the 28 countries included in the study, significant increasing and decreasing trends were observed in six counties each, with stable trends found in 16 countries. The most drastic increase and decrease were observed in Egypt between 2006 (7.9 %) and 2011 (14.3 %), and in Samoa between 2011 (23.3 %) and 2017 (8.0 %), respectively. Stable trends with high prevalence across time were also common. Conclusion Our data suggest that perceived loneliness among adolescents is a global phenomenon, which has seen little improvement if any in recent years. It would be prudent to implement nationwide policies to combat loneliness globally.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In low-resource settings, the prevalence and time trends of mental illness and related dimensions such as loneliness vary.
“In low-resource settings, the prevalence and time trends of mental illness and related dimensions such as loneliness vary, as shown in various recent studies.”
From The Lancet Psychiatry Commission on youth mental health (2024) · cites this paper as [86]
Cites
The prevalence of loneliness across 113 countries: systematic review and meta-analysis
Surkalim, D. L., Luo, M., Eres, R., Gebel, K., van Buskirk, J., Bauman, A., & Ding, D. (2022) · BMJ · doi:10.1136/bmj-2021-067068 · Cited by 821 · see citing works
Perceived social isolation, evolutionary fitness and health outcomes: a lifespan approach
Hawkley, L. C., & Capitanio, J. P. (2015) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2014.0114 · Cited by 468 · see citing works
Viner, R. M., Gireesh, A., Stiglic, N., Hudson, L. D., Goddings, A.-L., Ward, J. L., & Nicholls, D. E. (2019) · The Lancet Child & Adolescent Health · doi:10.1016/s2352-4642(19)30186-5 · Cited by 295 · see citing works
Review: Alleviating loneliness in young people – a meta‐analysis of interventions
Eccles, A. M., & Qualter, P. (2021) · Child and Adolescent Mental Health · doi:10.1111/camh.12389 · Cited by 285 · see citing works
The effects of text, audio, video, and in-person communication on bonding between friends
Sherman, L. E., Michikyan, M., & Greenfield, P. M. (2013) · Cyberpsychology: Journal of Psychosocial Research on Cyberspace · doi:10.5817/cp2013-2-3 · Cited by 217 · see citing works
Contextual correlates of loneliness in adolescents
Bayat, N., Fokkema, T., Mujakovic, S., & Ruiter, R. A. C. (2021) · Children and Youth Services Review · doi:10.1016/j.childyouth.2021.106083 · Cited by 52 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
The Lancet Psychiatry Commission on youth mental health
McGorry, P. D., Mei, C., Dalal, N., Alvarez-Jimenez, M., Blakemore, S.-J., Browne, V., Dooley, B., Hickie, I. B., Jones, P. B., McDaid, D., et al. (2024) · The Lancet Psychiatry · doi:10.1016/s2215-0366(24)00163-9 · Cited by 663 · see citing works
- Authors
- Smith, L., López Sánchez, G. F., Pizzol, D., Yon, D. K., Oh, H., Kostev, K., Gawronska, J., Rahmati, M., Butler, L., Barnett, Y., Ball, G., Shin, J. I., & Koyanagi, A.
- Affiliations
- Anglia Ruskin University (GB)
- Agenzia Italiana per la Cooperazione allo Sviluppo (IT)
- Kyung Hee University (KR)
- University of Southern California (US)
- Universitätsklinikum Gießen und Marburg (DE)
- Vali Asr University of Rafsanjan (IR)
- Yonsei University (KR)
- Instituto de Salud Carlos III (ES)
- Corresponding author
- Shin, Jae Il
- ORCID
- Venue
- Journal of Affective Disorders
- Publisher
- Elsevier BV
- Published
- 2024-02
- Volume
- 346
- Pages
- 192-199
- ISSN
- 0165-0327 (ISSN-L)
- OpenAlex
- W4388599046
- Cited by
- 17
- References
- 6
- Citations by year
- 2026: 4 · 2025: 8 · 2024: 5
- FWCI
- 4.60
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Affective Disorders (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Figshare (submittedVersion, cc-by)
- Funders
- World Health Organization
- European Commission
- Centers for Disease Control and Prevention
- Topics
- Social Sciences › Health › Health disparities and outcomes
- Social Sciences › Psychology › Clinical Psychology › Child and Adolescent Psychosocial and Emotional Development
- Social Sciences › Psychology › Social Psychology › Mental Health Treatment and Access
- Keywords
- loneliness, adolescents, temporal trends, prevalence of loneliness, cross-national comparison, Global School-based Student Health Survey, school health survey
- MeSH terms
- Adolescent, Africa, Asia, Cross-Sectional Studies, Female, Humans, Loneliness, Male, Surveys and Questionnaires, Prevalence
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review