Title |
Predictors of life satisfaction among Asian American adolescents- analysis of add health data
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Published in |
SpringerPlus, May 2015
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DOI | 10.1186/s40064-015-1008-5 |
Pubmed ID | |
Authors |
Jui-Yen Huang, Kuan-Yuan Wang, Tamar Ringel-Kulka |
Abstract |
Life satisfaction correlates with adolescent risk taking behavior and their outcomes in adulthood. Despite the fast rise in numbers of Asian adolescents in the U.S., the predictors of their life satisfaction are not well understood. This study examined the relationship between several demographic and contextual factors and global life satisfaction among this population. Data were derived from the National Longitudinal Study of Adolescent Health (Add Health), a nationally representative probability sample of US adolescents. Bivariate and multivariable logistic regression was conducted to evaluate hypothesized predictors of global life satisfaction of Asian American adolescents. All analyses were conducted using STATA version 11. After exclusion of cases with missing values, 1021 Asian American adolescents were studied. Self- rated health, self-esteem, perceived neighborhood quality, parental support and peer support were significantly and positively related to better global life satisfaction. However, after controlling for other factors, only self-esteem (adjusted odds ratio [aOR]: 4.76; 95% confidence interval [CI]: 2.86-8.33) and perceived peer support (aOR: 2.76; 95% CI: 1.33-5.76) significantly predicted higher life satisfaction. Peer support and adolescents' self-concept are strongly correlated with Asian American adolescents' subjective well-being. To promote the wellness of this population, culturally sensitive strategies in developing peer relationship and healthy self-concept may be effective. More studies are needed for subgroup comparison of various ethnicities among Asian American adolescents. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 34 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 7 | 21% |
Student > Bachelor | 6 | 18% |
Student > Doctoral Student | 3 | 9% |
Student > Master | 3 | 9% |
Researcher | 2 | 6% |
Other | 2 | 6% |
Unknown | 11 | 32% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 10 | 29% |
Social Sciences | 6 | 18% |
Nursing and Health Professions | 3 | 9% |
Medicine and Dentistry | 2 | 6% |
Biochemistry, Genetics and Molecular Biology | 1 | 3% |
Other | 1 | 3% |
Unknown | 11 | 32% |