Luiza I.C. Ricardo , Andrea D. Smith , Kathryn R. Hesketh , Yanaina Chavez-Ugalde , Eun-Young Lee , Esther M.F. van Sluijs
{"title":"英国青少年中性别认同和性取向与健康相关行为的共同发生和聚类的横截面关联：千年队列研究。","authors":"Luiza I.C. Ricardo , Andrea D. Smith , Kathryn R. Hesketh , Yanaina Chavez-Ugalde , Eun-Young Lee , Esther M.F. van Sluijs","doi":"10.1016/j.ypmed.2024.108084","DOIUrl":null,"url":null,"abstract":"<div><h3>Purpose</h3><p>We examined whether gender identity and sexual orientation were associated with seven health-related behaviours, and with co-occurrence and clustering of these behaviours among British adolescents.</p></div><div><h3>Methods</h3><p>Millennium Cohort Study (age 17 wave) provided data on the exposures, gender identity (male, female, genderqueer) and sexual orientation (heterosexual, bisexual, gay or lesbian, or other), and seven self-reported health-related behaviours (binge drinking, drug use, no consumption of breakfast, no consumption of fruits or vegetables, physical inactivity, poor sleep, and smoking or vaping). Poisson regressions examined associations between the exposures and single behaviours (reporting prevalence ratios (PRs)); and multinomial logistic regressions were used for behavioural cumulative co-occurrence score (reporting PRs). Cluster patterns were identified using Ward's agglomerative hierarchical cluster analysis while associations with cluster membership were performed using logistic regressions (reporting odds ratios (ORs)).</p></div><div><h3>Results</h3><p>Our sample included 6022 adolescents (55.4% female, 1.5% genderqueer, 11.6% non-heterosexual). Adolescents who identified as genderqueer had the highest prevalence of not eating breakfast (PR: 60.5% [95%CI 48.4–71.4]) and poor sleep (68.7% [95%CI 55.6–79.3]). Those who identified as bisexual had a higher PR of co-occurring behaviours (2.46 [95%CI 1.39–4.27]). Among the three clusters identified (1: Multiple risk behaviours; 2: Physical inactivity and binge drinking; 3: Poor diet and physical inactivity), adolescents who identified as genderqueer or other sexual orientation showed the highest prevalence in cluster 3.</p></div><div><h3>Conclusion</h3><p>Gender and sexual minority British adolescents showed a higher prevalence of risky health-related behaviours, and higher risk of co-occurring behaviours. Physical inactivity and poor diet behaviours commonly clustered together for these groups.</p></div>","PeriodicalId":20339,"journal":{"name":"Preventive medicine","volume":"186 ","pages":"Article 108084"},"PeriodicalIF":4.3000,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0091743524002391/pdfft?md5=3a4692c99d7227f1bf08c24b41ca8666&pid=1-s2.0-S0091743524002391-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Cross-sectional associations of gender identity and sexual orientation, with co-occurrence and clustering of health-related behaviours among British adolescents: Millennium cohort study\",\"authors\":\"Luiza I.C. Ricardo , Andrea D. Smith , Kathryn R. Hesketh , Yanaina Chavez-Ugalde , Eun-Young Lee , Esther M.F. van Sluijs\",\"doi\":\"10.1016/j.ypmed.2024.108084\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Purpose</h3><p>We examined whether gender identity and sexual orientation were associated with seven health-related behaviours, and with co-occurrence and clustering of these behaviours among British adolescents.</p></div><div><h3>Methods</h3><p>Millennium Cohort Study (age 17 wave) provided data on the exposures, gender identity (male, female, genderqueer) and sexual orientation (heterosexual, bisexual, gay or lesbian, or other), and seven self-reported health-related behaviours (binge drinking, drug use, no consumption of breakfast, no consumption of fruits or vegetables, physical inactivity, poor sleep, and smoking or vaping). Poisson regressions examined associations between the exposures and single behaviours (reporting prevalence ratios (PRs)); and multinomial logistic regressions were used for behavioural cumulative co-occurrence score (reporting PRs). Cluster patterns were identified using Ward's agglomerative hierarchical cluster analysis while associations with cluster membership were performed using logistic regressions (reporting odds ratios (ORs)).</p></div><div><h3>Results</h3><p>Our sample included 6022 adolescents (55.4% female, 1.5% genderqueer, 11.6% non-heterosexual). Adolescents who identified as genderqueer had the highest prevalence of not eating breakfast (PR: 60.5% [95%CI 48.4–71.4]) and poor sleep (68.7% [95%CI 55.6–79.3]). Those who identified as bisexual had a higher PR of co-occurring behaviours (2.46 [95%CI 1.39–4.27]). Among the three clusters identified (1: Multiple risk behaviours; 2: Physical inactivity and binge drinking; 3: Poor diet and physical inactivity), adolescents who identified as genderqueer or other sexual orientation showed the highest prevalence in cluster 3.</p></div><div><h3>Conclusion</h3><p>Gender and sexual minority British adolescents showed a higher prevalence of risky health-related behaviours, and higher risk of co-occurring behaviours. 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Cross-sectional associations of gender identity and sexual orientation, with co-occurrence and clustering of health-related behaviours among British adolescents: Millennium cohort study
Purpose
We examined whether gender identity and sexual orientation were associated with seven health-related behaviours, and with co-occurrence and clustering of these behaviours among British adolescents.
Methods
Millennium Cohort Study (age 17 wave) provided data on the exposures, gender identity (male, female, genderqueer) and sexual orientation (heterosexual, bisexual, gay or lesbian, or other), and seven self-reported health-related behaviours (binge drinking, drug use, no consumption of breakfast, no consumption of fruits or vegetables, physical inactivity, poor sleep, and smoking or vaping). Poisson regressions examined associations between the exposures and single behaviours (reporting prevalence ratios (PRs)); and multinomial logistic regressions were used for behavioural cumulative co-occurrence score (reporting PRs). Cluster patterns were identified using Ward's agglomerative hierarchical cluster analysis while associations with cluster membership were performed using logistic regressions (reporting odds ratios (ORs)).
Results
Our sample included 6022 adolescents (55.4% female, 1.5% genderqueer, 11.6% non-heterosexual). Adolescents who identified as genderqueer had the highest prevalence of not eating breakfast (PR: 60.5% [95%CI 48.4–71.4]) and poor sleep (68.7% [95%CI 55.6–79.3]). Those who identified as bisexual had a higher PR of co-occurring behaviours (2.46 [95%CI 1.39–4.27]). Among the three clusters identified (1: Multiple risk behaviours; 2: Physical inactivity and binge drinking; 3: Poor diet and physical inactivity), adolescents who identified as genderqueer or other sexual orientation showed the highest prevalence in cluster 3.
Conclusion
Gender and sexual minority British adolescents showed a higher prevalence of risky health-related behaviours, and higher risk of co-occurring behaviours. Physical inactivity and poor diet behaviours commonly clustered together for these groups.
期刊介绍：
Founded in 1972 by Ernst Wynder, Preventive Medicine is an international scholarly journal that provides prompt publication of original articles on the science and practice of disease prevention, health promotion, and public health policymaking. Preventive Medicine aims to reward innovation. It will favor insightful observational studies, thoughtful explorations of health data, unsuspected new angles for existing hypotheses, robust randomized controlled trials, and impartial systematic reviews. Preventive Medicine''s ultimate goal is to publish research that will have an impact on the work of practitioners of disease prevention and health promotion, as well as of related disciplines.
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