Health-related quality of life and its changes of the Tibetan population in China: based on the 2013 and 2018 National Health Services Surveys.

OBJECTIVE: Health-related quality of life (HRQoL) was an important health outcome measure for evaluating an individual's overall health status. However, there was limited in the literature on HRQoL and its long-term changes of the Tibetan population. This study aimed to assess HRQoL of Tibetan and its changes over time, and explore the differences in HRQoL for residents at different altitudes. DESIGN: Data for the cross-sectional study were extracted from the fifth and sixth waves of the National Health Services Surveys which were conducted in 2013 and 2018. A multistage stratified cluster random sampling strategy was used to select representative participants. SETTING: Tibet Autonomous Region in China. PARTICIPANTS: This study recruited 14 752 participants in 2013 and 13 106 participants in 2018, and after excluding observations with missing values for key variables, 10 247 in 2013 and 6436 in 2018 were included in the study analysis. PRIMARY AND SECONDARY OUTCOME MEASURES: The EQ-5D-3L was used to measure participants' HRQoL. RESULTS: The mean health state utility scores of the participants were 0.969±0.078 and 0.966±0.077 in 2013 and 2018, respectively. Pain/discomfort was the most frequently prevalent issue reported in 18.1% and 17.9% of the participants in 2013 and 2018, respectively. Tibetans living 3500-4000 m altitude had the best HRQoL. Age, sex, employment status, educational attainment, chronic disease and weekly physical exercise were influencing factors associated with HRQoL. CONCLUSIONS: The HRQoL of the Tibetan population was lower than the general Chinese population, and decreased over time between 5 years. There were differences in HRQoL among Tibetan at different altitudes, with residents living at 3500-4000 m having the best quality of life. More attention should be paid to those Tibetans who are older, female, unemployed and without formal education.

Income-related equity in inpatient care utilization and unmet needs between 2013 and 2018 in Tibet, China.

BACKGROUND: Providing equitable access to health care for all populations is an important sustainable development goal. China has made significant progress in achieving equity in healthcare utilization. However, research on equity in healthcare utilization in Tibet is sparse. This study aims to evaluate changes in income-related inequity in inpatient care utilization and unmet needs between 2013 and 2018 among the Tibetan population and identify the inequity source. METHODS: Data for this cross-sectional study were obtained from the fifth and sixth waves of the National Health Services Survey in 2013 and 2018. After excluding observations with missing values for key variables, 11,092 and 10,397 respondents were included in this study, respectively. The outcome variables of interest were inpatient service utilization and unmet hospitalization needs. The concentration index and horizontal inequity index (HI) were used to assess income-related inequity. Non-linear decompositions were performed to identify the main contributors to inequity. In the decomposition method, need variables included sex, age, chronic diseases, and the EuroQol-Visual Analog Scale; non-need variables consisted of income, education, employment status, marital status, and health insurance schemes. RESULTS: The probability of inpatient care utilization increased from 6.40% in 2013 to 8.50% in 2018. The HI for inpatient care utilization was 0.19 (P < 0.001) in 2013, whereas it decreased to 0.07 (P < 0.001) in 2018. The contribution of income to inequity in inpatient care utilization decreased from 87.09% in 2013 to 59.79% in 2018. As for unmet inpatient care needs, although its probability increased from 0.76 to 1.48%, the percentage of reasons for financial hardship decreased from 47.62 to 28.57%. The HI for unmet hospitalization need was - 0.07 in 2013 and - 0.05 in 2018, and neither was statistically significant. The New Rural Cooperative Medical Scheme made majority contributions to promote equity in unmet hospitalization need. Moreover, the female respondents reporting low EuroQol-Visual Analog Scale scores and patients with chronic disease were not only more likely to seek for inpatient care, but also have more unmet need than the reference groups. CONCLUSIONS: The inequity in inpatient care utilization in Tibet narrowed from 2013 to 2018, and there was no inequity in unmet hospitalization needs in 2013 and 2018. Income and the New Rural Cooperative Medical Scheme are the main drivers of equity promotion. To promote access to inpatient care utilization and decrease the probability of unmet hospitalization need in future, policymakers should target high-need residents in Tibet to improve accessibility, availability, and acceptability.

The U-shaped association of altitudes with prevalence of hypertension among residents in Tibet, China.

We aimed to evaluate the association of altitudes with the prevalence of hypertension among residents aged 15 years and above in Tibet, China. Data for 11,407 Tibetan residents from the National Health Services Survey in 2013 were analyzed. Association between altitudes and prevalence of physician-diagnosed hypertension was assessed by two logistic regression models as follows: (i) a base model adjusted for age and gender, and (ii) a full model additionally adjusted for body mass index, education, marital status, area of residence, distance to the nearest medical institute, smoking, drinking, and exercise. Nonlinear relationship between altitudes and prevalence of hypertension was explored by restricted cubic spline analyses. Sensitivity analyses were conducted by restricting to residents of rural and/or nomadic areas. The prevalence of hypertension was estimated to be 37.6%. We found a U-shaped association between altitudes and prevalence of physician-diagnosed hypertension with a turning point at around 3800 m (12,467 ft). For residents living above 3800 m, a 1000 m increase in altitudes was associated with 2.05 (95% confidence interval [CI]: 1.62-2.61) times higher odds of having physician-diagnosed hypertension, after adjusting for age and gender. When further controlling for all covariates, the odds ratio (OR) dropped to 1.87 (95% CI: 1.46-2.41). For residents living below 3800 m, a 1000 m increase was associated with 0.29 (95% CI: 0.19-0.44) times less likelihood of having physician-diagnosed hypertension in the full model. Sensitivity analyses among residents in rural and/or nomadic areas showed similar associations. To conclude, altitudes were in a U-shaped association with prevalence of hypertension.

High prevalence of congenital heart disease at high altitudes in Tibet.

BACKGROUND: Previous small sample studies suggested that elevated altitudes might be associated with the incidence of cardiovascular diseases. However, it remains uncertain whether high altitudes (over 3000 m above sea level) are related to congenital heart disease. We therefore explored the prevalence of congenital heart disease in a large cohort of students in the world's largest prefecture-level city with the highest altitude. METHODS: This cross-sectional study included 84,302 student participants (boys 52.12%, girls 47.88%, with an average age of 10.62 ± 3.33 years). Data were extracted from the screening results among different altitude area schools in Nagqu from June 2016 to August 2017. Students were first screened by performing a physical examination consisting of cardiac auscultations and clinical manifestation screenings. An echocardiography was performed to confirm and identify the subtype of congenital heart disease. RESULTS: The prevalence of congenital heart disease among students in Nagqu, Tibet, was 5.21‰ (439 cases). The most common congenital heart disease type was patent ductus arteriosus, representing 66.3% of congenital heart diseases diagnosed in this study, followed by atrial septal defect and ventricular septal defect, representing 20.3% and 9.1% of congenital heart diseases, respectively. Students living in higher altitudes were significantly more prone to have congenital heart disease than students in locations with lower altitudes. The prevalence of congenital heart disease in girls was found to be higher than that of boys. CONCLUSIONS: The correlation between congenital heart disease and increased altitude is noteworthy. This study's results are the first big data epidemiological investigation to confirm that high altitude is a significant environmental risk factor for congenital heart disease, especially patent ductus arteriosus. Furthermore, the results provide additional support to make a diagnostic and treatment plan to prevent congenital heart disease in high altitude areas.