Hui Wu1,2,3, Huijun Li2, Haibin Li2, Yu Ding2,3, Chongjian Wang4, Guicheng Zhang2,5, Naijun Tang6,7, Weidong Wu8. 1. School of Public Health, Tianjin Medical University, Tianjin, China. 2. School of Public Health, Xinxiang Medical University, Xinxiang, China. 3. Henan Province General Medical Educations and Research Center, Xinxiang, China. 4. School of Public Health, Zhengzhou University, Zhengzhou, China. 5. School of Public Health, Curtin University, Perth, Australia. 6. School of Public Health, Tianjin Medical University, Tianjin, China. tangnaijun@tmu.edu.cn. 7. Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China. tangnaijun@tmu.edu.cn. 8. Henan Province General Medical Educations and Research Center, Xinxiang, China. wdwu2013@126.com.
Abstract
PURPOSE: Dyslipidaemia is a common chronic disease in China but is among the list of diseases treated by basic public health services. In this study, we aimed to use the European Quality of Life Five Dimension Five Level Scale (EQ-5D-5L) and visual analogue scale (VAS) to compare differences in health-related quality of life (HRQoL) between dyslipidaemic and non-dyslipidaemic individuals in rural China and to explore possible causes for the underlying differences. METHODS: This study examined 10,115 participants from 22 rural communities in Xinxiang County, Henan Province, China. The study participants were interviewed between March and June 2017. Generalised linear and Tobit regression models were used to analyse factors affecting participants' HRQoL. RESULTS: Of 10,115 participants, 4355 had dyslipidaemia. The mean utility index was 0.953 (standard deviation = 0.119). Pain/discomfort (20.83%) and problems with mobility (15.91%) and self-care (3.75%) were frequently reported. Regression models revealed that patients with low utility index scores were older, ex-smokers, non-tea drinkers, and less active, consumed less fruit, lived in areas with a low socioeconomic status; and were less educated. Patients also had poorer sleep quality and mental health scores and suffered from chronic diseases. Cohen's D effect size for age, sleep quality, non-communicable diseases, and depression was ≥ 0.4. CONCLUSION: The prevalence rate of dyslipidaemia was 43.05%, and it was correlated with a lower HRQoL. Age, sleep quality, non-communicable diseases, and depression may be significant predictors of the utility index and VAS scores. Patients were unaware of the risks of dyslipidaemia caused by an unhealthy lifestyle.
PURPOSE: Dyslipidaemia is a common chronic disease in China but is among the list of diseases treated by basic public health services. In this study, we aimed to use the European Quality of Life Five Dimension Five Level Scale (EQ-5D-5L) and visual analogue scale (VAS) to compare differences in health-related quality of life (HRQoL) between dyslipidaemic and non-dyslipidaemic individuals in rural China and to explore possible causes for the underlying differences. METHODS: This study examined 10,115 participants from 22 rural communities in Xinxiang County, Henan Province, China. The study participants were interviewed between March and June 2017. Generalised linear and Tobit regression models were used to analyse factors affecting participants' HRQoL. RESULTS: Of 10,115 participants, 4355 had dyslipidaemia. The mean utility index was 0.953 (standard deviation = 0.119). Pain/discomfort (20.83%) and problems with mobility (15.91%) and self-care (3.75%) were frequently reported. Regression models revealed that patients with low utility index scores were older, ex-smokers, non-tea drinkers, and less active, consumed less fruit, lived in areas with a low socioeconomic status; and were less educated. Patients also had poorer sleep quality and mental health scores and suffered from chronic diseases. Cohen's D effect size for age, sleep quality, non-communicable diseases, and depression was ≥ 0.4. CONCLUSION: The prevalence rate of dyslipidaemia was 43.05%, and it was correlated with a lower HRQoL. Age, sleep quality, non-communicable diseases, and depression may be significant predictors of the utility index and VAS scores. Patients were unaware of the risks of dyslipidaemia caused by an unhealthy lifestyle.
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