[Empirical research of measuring elderly health utility in the outskirts of Beijing by using European quality of life 5-dimensions].

Objective: To evaluate health utility values of the elderly in the outskirts of Beijing by European quality of life 5-dimensions (EQ-5D) from the EuroQol Group, and to compare the health utility values by using different translation models.

Methods: In the cross-sectional study, EQ-5D was used to measure the quality of life for 65 to 79 year-old usual residents in the town of Qinglonghu and Zhoukoudian in Fangshan District of Beijing. The health index which represented the health utility was calculated by using the Japan, the United Kingdom (UK), the United States (US) population-based time trade-off (TTO) models.

[Influence of chronic diseases on health related quality of life in middle-aged and elderly people from rural communities: application of EQ-5D scale on a Health Survey in Fangshan, Beijing].

Objective: To evaluate the health related quality of life (HRQoL) and to explore the influencing factors related to the prevalence of the essential hypertension, diabetes, coronary heart disease (CHD) and stroke in middle-aged and elderly people from rural communities.

Methods: A total of 5345 individuals were chosen from a 2010 Health Survey in Fangshan, Beijing. Self-designed questionnaire was applied to collect the information on general health-related behaviors, chronic conditions, self-rated health, blood pressure and HRQoL with the EuroQoL questionnaire (EQ-5D) were measured.

[Gender-specific differences in relative effects of cardiovascular risk factors among rural population].

Objective: To investigate the prevalence and association of cardiovascular disease and its risk factors in Fangshan District, Beijing.

Methods: A total of 7 577 rural residents aged over 40 years were surveyed to estimate the prevalence of cardiovascular disease and its risk factors by questionnaire survey, physical examination and biochemical measures. The prevalence odds ratio (POR) was calculated for the association of stroke / coronary heart disease (CHD) with its risk factors in multiple logistic regression models.