Clustering of lifestyle risk factors in relation to suicidal thoughts and behaviors in young adolescents: a cross-national study of 45 low- and middle-income countries
Rattachement africain : cn, hk, us, my, kh, Libéria, no, af, au, ye, lb, ca, mn. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
BACKGROUND: Prior research has reaffirmed lifestyle risk behaviors to cluster among adolescents. However, the lifestyle cluster effect on suicidal thoughts and behaviors (STBs) was unclear among adolescents in low- and middle-income countries (LMICs). No comparison of such associations was conducted across nations. METHODS: Data from 45 LMICs were obtained from the Global School-based Student Health Survey (GSHS) between 2009 and 2019. Lifestyle behavior factors were collected through a structured questionnaire. Suicidal ideation, plan, and attempt were ascertained by three single-item questions. Lifestyle risk scores were calculated via a sufficient dimension reduction technique, and lifestyle risk clusters were constructed using a latent class analysis. Generalized linear mixed models with odds ratio (OR) and 95% confidence interval (CI) were used to estimate the lifestyle-STB associations. RESULTS: A total of 229,041 adolescents were included in the final analysis. The weighted prevalence of suicidal ideation, plan, and attempt was 7.37%, 5.81%, and 4.59%, respectively. Compared with the favorable lifestyle group, the unfavorable group had 1.48-, 1.53-, and 3.11-fold greater odds of suicidal ideation (OR = 1.48, 95%CI: 1.30-1.69), plan (OR = 1.53, 95%CI 1.34-1.75), and attempt (OR = 3.11, 95%CI 2.64-3.65). Four clusters of lifestyle risk behaviors were identified, namely healthy lifestyles (H-L), insufficient intake of vegetables and fruit (V-F), frequent consumption of soft drinks and fast food (D-F), and tobacco smoking and alcohol drinking (S-A) clusters. Compared with H-L cluster, V-F cluster was associated with 43% and 42% higher odds of suicidal ideation and plan, followed by S-A cluster (26% for ideation and 20% for plan), but not significant in D-F cluster (P > 0.05). D-F cluster was associated with 2.85-fold increased odds of suicidal attempt, followed by V-F cluster (2.43-fold) and S-A cluster (1.18-fold). CONCLUSIONS: Clustering of lifestyle risk behaviors is informative for risk stratification of STBs in resource-poor settings. Lifestyle-oriented suicide prevention efforts should be initiated among school-attending adolescents in LMICs.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Clustering of lifestyle risk factors in relation to suicidal thoughts and behaviors in young adolescents: a cross-national study of 45 low- and middle-income countries
- Date Crossref
- 12/04/2024
- Éditeur
- Springer Science and Business Media LLC
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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Sun Yat-sen University pays non établi dans la noticeUniversité ou école supérieure
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University of Hong Kong pays non établi dans la noticeUniversité ou école supérieure
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Miami University Department of Statistics pays non établi dans la noticeUniversité ou école supérieure
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Chinese Academy of Medical Sciences & Peking Union Medical College pays non établi dans la noticeUniversité ou école supérieure
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Clemson University pays non établi dans la noticeUniversité ou école supérieure
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Ministry of Health Preventive Medicine Department pays non établi dans la noticeOrganisme public
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Middle Tennessee State University Department of Health and Human Performance pays non établi dans la noticeUniversité ou école supérieure
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University of Liberia Libéria (code pays fourni par la source)Université ou école supérieure
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University of Bergen Bergen Centre for Ethics and Priority Setting in Health pays non établi dans la noticeUniversité ou école supérieure
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Ministry of Public Health pays non établi dans la noticeOrganisme public
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Queensland University of Technology Australian Centre for Health Services Innovation pays non établi dans la noticeUniversité ou école supérieure
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Sana'a University pays non établi dans la noticeUniversité ou école supérieure
Sun Yat-sen University, University of Hong Kong et Department of Statistics — Miami University, avec 9 autres affiliations. Pays d’affiliation : Libéria.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.