The Association between Demographic Characteristics, Lifestyle Health Behaviours, and Quality of Life among Adolescents in Asia Pacific Region

Autor: Regina L.T. Lee; Wai Tong Chien; Keiko Tanida; Sachi Takeuchi; Phuphaibul Rutja; Stephen W. H. Kwok; Paul H. Lee
Sprache: Englisch
Veröffentlicht: 2019
Quelle: Directory of Open Access Journals: DOAJ Articles
Online Zugang: https://www.mdpi.com/1660-4601/16/13/2324
https://doaj.org/toc/1660-4601
1660-4601
doi:10.3390/ijerph16132324
https://doaj.org/article/d3d7a447a7b54aeb87d6a092a22a8e62
https://doi.org/10.3390/ijerph16132324
https://doaj.org/article/d3d7a447a7b54aeb87d6a092a22a8e62
Erfassungsnummer: ftdoajarticles:oai:doaj.org/article:d3d7a447a7b54aeb87d6a092a22a8e62

Zusammenfassung

Background : Given the risk of physical and psychosocial health that emerge in adolescents that are continuing into adulthood, identifying and addressing early signs of health-related quality of life (HRQoL) decline provides an opportunity to ensure that young people have a healthier progression through adolescence. Aim : To investigate the association between demographic characteristics, lifestyle health behaviours, and HRQoL of adolescents who live in Asia Pacific region, including Hong Kong in China, Beijing in China, Akashi in Japan, Seoul in South Korea, and Bangkok in Thailand. Methods : A cross-sectional self-reported survey carried out in a sample of 2296 adolescents that were aged 9−16 years (mean= 12.0; standard deviation [SD] = 1.63) was conducted in the five cities of the Asia Pacific region between January and August 2017. Demographic characteristics, adolescent lifestyle behaviours, and HRQoL were measured with demographic questionnaire, Adolescent Lifestyle Questionnaire’s (ALQ) seven domains and Paediatric Quality of Life’s (PedsQL 4.0) global score, respectively. Mixed multilevel model (MMLM) was used to fit the data. Results : After adjusting the demographic variables, one score increase in ALQ physical participation, nutrition, social support, and identity awareness are associated with an increase in PedsQL global score. On the contrary, one score increase in ALQ health practices is associated with a decrease in the PedsQL global score. The estimated mean of PedsQL global score of South Korea, Beijing, and Japan were better, while the score of Thailand and Hong Kong were poorer. Conclusions : Differentiating the impacts of promoting health behaviours among different countries can help in better understanding the health needs of adolescents in each country, especially in the Asia Pacific region, so that adequate and relevant resources can be allocated to reduce health-risk taking behaviours among this vulnerable group for health-promoting strategies.