Lifestyle and Addictive Behaviors Among Chinese Adolescents in Hong Kong, Macau, Taipei, Wuhan, and Zhuhai-a First Cross-subculture Assessment.

ACADEMIC achievement; COMPARATIVE studies; COMPULSIVE behavior; CONFIDENCE intervals; CULTURE; DIET; ALCOHOL drinking; GAMBLING; HEALTH behavior in adolescence; HEALTH promotion; PARENTS; QUESTIONNAIRES; REGRESSION analysis; RISK-taking behavior; STATISTICAL sampling; SELF-evaluation; SMOKING; SURVEYS; MATHEMATICAL variables; SAMPLE size (Statistics); LIFESTYLES; DISEASE prevalence; SEDENTARY lifestyles; PHYSICAL activity; DATA analysis software; DESCRIPTIVE statistics; ADOLESCENCE

CHINA; HONG Kong (China)

Purpose: This study aimed at assessing the differences in prevalence rates of common health behavior among adolescents in the five Chinese cities and the influential factors at the contextual and individual levels. Method: We compared the standardized rates of three lifestyle behaviors (sedentary, dietary, and physical activity) and three addictive behaviors (cigarette smoking, alcohol consumption, and participation in gambling) among a sample of 13,950 adolescents. The sample was randomly selected from five cities, including Hong Kong, Macau, Taipei, Zhuhai, and Wuhan. Population size, GDP per capita, and literacy at the city level as well as parental monitoring and school performance at the student's level were assessed. Multi-level mixed effect models were used to examine the interaction of individual level factors with study sites. Results: The six health behaviors differed significantly across sites with the highest rates of alcohol consumption in Hong Kong (39.5 %), of cigarette smoking in Macau (9.8 %), and of gambling in Taipei (37.1 %) and Hong Kong (35.9 %). The city-level measures were associated with only a few behavioral measures. Relative to Hong Kong, parental monitoring had stronger association with the three addictive behaviors in the other sites. Conclusion: Findings suggest that although the study sites share similar Chinese culture, students in the five cities differed from each other with regard to levels of health behaviors. Relative to the broad socioeconomic development, differences in parental monitoring played a significant role in explaining the observed difference. [ABSTRACT FROM AUTHOR]

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