DATA SOURCE: The China National Knowledge Infrastructure and MEDLINE databases were searched. The systematic review with meta-analysis included genetic studies which assessed the association between neonatal hyperbilirubinemia and 388 G>A, 521 T>C, and 463 C>A variants of SLCO1B1 between January of 1980 and December of 2012. Data selection and extraction were performed independently by two reviewers.
SUMMARY OF THE FINDINGS: Ten articles were included in the study. The results revealed that SLCO1B1 388 G>A is associated with an increased risk of neonatal hyperbilirubinemia (OR, 1.39; 95% CI, 1.07-1.82) in Chinese neonates, but not in white, Thai, Latin American, or Malaysian neonates. The SLCO1B1 521 T>C mutation showed a low risk of neonatal hyperbilirubinemia in Chinese neonates, while no significant associations were found in Brazilian, white, Asian, Thai, and Malaysian neonates. There were no significant differences in SLCO1B1 463 C>A between the hyperbilirubinemia and the control group.
CONCLUSION: This study demonstrated that the 388 G>A mutation of the SLCO1B1 gene is a risk factor for developing neonatal hyperbilirubinemia in Chinese neonates, but not in white, Thai, Brazilian, or Malaysian populations; the SLCO1B1 521 T>C mutation provides protection for neonatal hyperbilirubinemia in Chinese neonates, but not in white, Thai, Brazilian, or Malaysian populations.
OBJECTIVE: The present study tested the effectiveness of an integrated social cognition model in predicting intention to participate in the self-management behaviors in FH patients from seven countries.
METHOD: Consecutive patients in FH clinics from Australia, Hong Kong, Brazil, Malaysia, Taiwan, China, and UK (total N = 726) completed measures of social cognitive beliefs about illness from the common sense model of self-regulation, beliefs about behaviors from the theory of planned behavior, and past behavior for the three self-management behaviors.
RESULTS: Structural equation models indicated that beliefs about behaviors from the theory of planned behavior, namely, attitudes, subjective norms, and perceived behavioral control, were consistent predictors of intention across samples and behaviors. By comparison, effects of beliefs about illness from the common sense model were smaller and trivial in size. Beliefs partially mediated past behavior effects on intention, although indirect effects of past behavior on intention were larger for physical activity relative to taking medication and healthy eating. Model constructs did not fully account for past behavior effects on intentions. Variability in the strength of the beliefs about behaviors was observed across samples and behaviors.
CONCLUSION: Current findings outline the importance of beliefs about behaviors as predictors of FH self-management behaviors. Variability in the relative contribution of the beliefs across samples and behaviors highlights the imperative of identifying sample- and behavior-specific correlates of FH self-management behaviors.