Prevalence, Management, and Associated Factors of Obesity, Hypertension, and Diabetes in Tibetan Population Compared with China Overall.
Wen PengKe LiAlice Fang YanZumin ShiJunyi ZhangLawrence J CheskinAhktar HussainYoufa WangPublished in: International journal of environmental research and public health (2022)
Tibetans' life expectancy lags behind China's average. Obesity and noncommunicable diseases (NCDs) contribute to health disparity, but NCD patterns among Tibetans are unknown. To examine the prevalence, management, and associated factors for obesity, hypertension, and diabetes among Tibetans, compared with China's average, we systematically searched PubMed and China National Knowledge Infrastructure databases for studies between January 2010 and April 2021. Thirty-nine studies were included for systematic review, among thirty-seven that qualified for meta-analysis, with 115,403 participants. Pooled prevalence was 47.9% (95% CI 38.0-57.8) for overweight/obesity among adults (BMI ≥ 24 kg/m 2 ) and 15.4% (13.7-17.2) among children using Chinese criteria, which are lower than the national rates of 51.2% and 19.0%, respectively. The estimate for hypertension (31.4% [27.1-35.7]) exceeded China's average (27.5%), while diabetes (7.5% [5.2-9.8]) was lower than average (11.9%). Men had a higher prevalence of the three conditions than women. Residents in urban areas, rural areas, and Buddhist institutes had monotonically decreased prevalence in hypertension and diabetes. Awareness, treatment, and control rates for hypertension and diabetes were lower than China's average. Urban residence and high altitude were consistent risk factors for hypertension. Limited studies investigated factors for diabetes, yet none exist for obesity. Tibetans have high burdens of obesity and hypertension. Representative and longitudinal studies are needed for tailored interventions. There are considerable variations in study design, study sample selection, and data-analysis methods, as well as estimates of reviewed studies.
Keyphrases
- type diabetes
- blood pressure
- systematic review
- insulin resistance
- weight loss
- metabolic syndrome
- glycemic control
- weight gain
- cardiovascular disease
- high fat diet induced
- risk factors
- case control
- meta analyses
- data analysis
- healthcare
- physical activity
- body mass index
- polycystic ovary syndrome
- public health
- adipose tissue
- young adults
- quality improvement
- machine learning
- high resolution
- risk assessment
- big data
- arterial hypertension
- replacement therapy
- high speed