Objective To evaluate the association of known polymorphisms in the lipid metabolic pathway with body mass index （BMI）, and estimate their interactions with soybean food intake. Methods A community-based cross-sectional survey was conducted in a Chinese Han population. BMI, soybean food intake, and single nucleotide polymorphisms of rs599839, rs3846662, rs3846663, rs12916, rs174547, rs174570, rs4938303, and rs1558861 were measured in 944 subjects. A multivariate logistic regression was used to analyze the association of the studied polymorphisms with BMIs. The expectation-maximization algorithm was employed to evaluate the extent of linkage disequilibrium between pairwise polymorphisms. The gene-environment interaction was assessed in the general multifactor dimensionality reduction model. Results The polymorphisms of rs3846662 and rs3846663 were associated with 10% highest BMIs when comparing to the 10% lowest values both in individuals and haplotype-based association tests. Although no statistically significant gene-environment interactions were found, people with the haplotype composed of C allele in rs3846662 and T allele in rs3846663 and low frequency of soybean intake had significantly hisher risk to overweight and obesity as compared with those with the haplotype consisting of T allele in rs3846662 and C allele in rs3846663 and highly frequent soybean food intake, with an odds ratio of 1.64 （95% confidence interval： 1.15-2.34, P〈0.01） after adjusting for the common confounders. Conclusion Our study has sugsested that rs3846662 and rs3846663 may be the potential candidate polymorphisms for obesity, and their effect on the pathogenesis could be mediated by the frequency of soybean food intake.
WANG Jin WeiTANG XunLI NaWU Yi QunLI ShuaiLI JinQIN Xue YingZHANG Zong XinHU Yong HuaCHEN Da Fan
Background： Although coronary heart disease （CHD） is one of the major cardiovascular diseases, risk factors associated with the health-related quality of life （HRQoL） of CHD patients remain unclear. The present study was designed to determine the profile and significant factors of the HRQoL in CHD patients.Methods： A cross-sectional study was conducted in rural communities of Fangshan District, Beijing. China. Socio-demographic, lifestyle, and comorbidity information of CHD patients were collected by a structured questionnaire and medical records. HRQoL was measured using European Quality of Life 5-dimensions （EQ-5D） scale and EQ Visual Analog Scale （EQ-VAS）. Multiple linear and logistic regressions were performed to explore the association of potential risk factors with HRQoL scores and each EQ-SD, respectively.Results： Totally, 1928 CHD patients （mean age 61.64 ± 9.24 years; female：male = 2.4：1） were enrolled in the study. The mean score of EQ-5D index and EQ-VAS were 0.889 ±0.172 and 71.56 ±17.65, respectively. Multiple linear regression revealed that marital status, physical activity, moderate alcohol drinking, and family＇s population were positive independent correlates of EQ-VAS, whereas diabetes mellitus and stroke were negative independent correlates （all P 〈 0.05）. Age and stroke were negatively while physical activity, moderate alcohol drinking, family＇s population and household income were positively correlated with EQ-5D index （all P 〈 0.05） independently. In addition, each of the five HRQoL dimensions had various specific determinants, including obesity, underweight. smoking or education. Conclusions： Findings of the study highlight certain socio-demographic, lifestyle factors, and comorbid stroke or diabetes mellitus as correlates of HRQoL in Chinese CHD patients. Large-scale cohort studies should be carried out to confirm our results in the future.
Ling WangYi-Qun WuXun TangNa LiLiu HeYang CaoDa-Fang ChenYong-Hua Hu
