Latent Classes of Adolescent Health Behaviour, Social Covariates and Mental Wellbeing: A Longitudinal Birth Cohort Study DOI Creative Commons
Christopher Knowles, Emma Thornton, Kimberly Petersen

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: May 15, 2024

Abstract Background: Adolescent wellbeing has been declining in the United Kingdom for over a decade. The expansion of services to support mental health and young people is public priority core component National Health Service’s Long-Term Plan. In this paper, we contribute knowledge regarding epidemiology adolescent by leveraging secondary analysis very large longitudinal dataset (#BeeWell) generate insights different patterns behaviour, their covariates, consequences one year later. Methods: A Latent Class Analysis was conducted using data on physical activity, sleep, eating habits collected 2021 from 18,478 Year 8 pupils Greater Manchester (United Kingdom) (1) identify distinct latent classes behaviour; (2) establish factors likely be associated with class membership; (3) determine whether membership contributes variance self-reported later. Results: A three-class solution identified as an excellent fit data, discriminating between: Wellness Weary (n = 2,717; 15%); Balanced Bunch (n = 7,377; 40%); Green Dream Team 8,384; 45%). Several significantly influenced membership. Most notably, socio-economic disadvantage social media use were linked less favourable behaviour patterns, whilst cisgender heterosexual girls endorse healthier patterns. After adjusting Team reported greater than Bunch later, signalling that behaviours endorsed adolescence may have long-term impact health. Conclusions: Beyond advancements fundamental understanding, findings yield significant translation opportunities through application health, education, allied professional settings designed people.

Language: Английский

Latent Classes of Adolescent Health Behaviour, Social Covariates and Mental Wellbeing: A Longitudinal Birth Cohort Study DOI Creative Commons
Christopher Knowles, Emma Thornton, Kimberly Petersen

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: May 15, 2024

Abstract Background: Adolescent wellbeing has been declining in the United Kingdom for over a decade. The expansion of services to support mental health and young people is public priority core component National Health Service’s Long-Term Plan. In this paper, we contribute knowledge regarding epidemiology adolescent by leveraging secondary analysis very large longitudinal dataset (#BeeWell) generate insights different patterns behaviour, their covariates, consequences one year later. Methods: A Latent Class Analysis was conducted using data on physical activity, sleep, eating habits collected 2021 from 18,478 Year 8 pupils Greater Manchester (United Kingdom) (1) identify distinct latent classes behaviour; (2) establish factors likely be associated with class membership; (3) determine whether membership contributes variance self-reported later. Results: A three-class solution identified as an excellent fit data, discriminating between: Wellness Weary (n = 2,717; 15%); Balanced Bunch (n = 7,377; 40%); Green Dream Team 8,384; 45%). Several significantly influenced membership. Most notably, socio-economic disadvantage social media use were linked less favourable behaviour patterns, whilst cisgender heterosexual girls endorse healthier patterns. After adjusting Team reported greater than Bunch later, signalling that behaviours endorsed adolescence may have long-term impact health. Conclusions: Beyond advancements fundamental understanding, findings yield significant translation opportunities through application health, education, allied professional settings designed people.

Language: Английский

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