Quantile Regression of Depression and Body Mass Index in Patients with Cor-onary Artery Disease in China
- VernacularTitle:分位数回归分析冠心病患者中体重指数对抑郁的影响
- Author:
Yihua LU
1
;
Yun JIANG
;
Yi SHEN
Author Information
1. 南通大学公共卫生学院 226019
- Keywords:
Coronary artery disease;
Body mass index;
Depression;
Quantile regression
- From:
Chinese Journal of Health Statistics
2017;34(5):745-748
- CountryChina
- Language:Chinese
-
Abstract:
Objective Depression and obesity are two major disorders associated with coronary heart disease ( CHD) , and both have a high prevalence. Different studies concluded different outcomes about the relation between body mass index ( BMI) and depression. The aim of this study was to assess the status of depression and investigate the relationship between de-pression and BMI in CHD patients using quantile regression. Methods 580 patients were enrolled. Depression was tested using the Zung Self-Rating Depression Scale ( SDS) . Demographic data and clinical data were recorded. Quantile regression was con-ducted to determine whether BMI was a predictor of depression. Results SDS scores were significant different in underweight, normal weight,overweight and obesity group (P<0. 001). Overweight and obesity patients were least depressed. Differences in SDS scores increased steeply as depression increased at 5th,10th,25th,50th,75th,90th and 95th percentiles,with the coefficients ranging from -0. 36 to -0. 88 in total population,-0. 26 to -1. 09 in male and -0. 46 to -0. 75 in female respectively. The effects of BMI on depression were significantly different in different quantiles of depression in total population ( P=0. 04 ) and in male (P=0. 006),but no difference in female. Conclusion There was also a phenomenon of "obesity paradox" between BMI and depression in CHD patients. The effects of BMI on depression were significantly different in different quantiles in total population and in male.
