Prevalence, awareness, treatment, and control of hypertension among China’s Sichuan Tibetan population: A cross-sectional study

Hypertension status and its risk factors in highlanders living in Ganzi Tibetan Plateau: a cross-sectional study

BACKGROUND

The updated status of hypertension and its risk factors are poorly evaluated in Tibetan highland areas. We initiated a large-scale cross-sectional survey to provide updated status of hypertension and its risk factors (especially salt intake) in the Ganzi Tibetan Plateau, China.

METHODS

Stratified multistage random sampling was performed to obtain a representative sample of 4,036 adult residents from 4 counties in the Ganzi Tibetan area. The whole survey population was used to present the epidemiology and risk factors of hypertension. The participants with blood and urine biochemistry data were used to analyze the relationship between salt intake parameters and hypertension.

RESULTS

Stratified multistage random sampling was performed to obtain a representative sample of 4,036 adult residents. The overall prevalence rate of hypertension was 33.5% (the age-adjusted prevalence rate was 28.9%). A total of 50.9% of the hypertensive patients knew their conditions; 30.1% of them received antihypertensive treatment; and 11.2% of them had their blood pressure controlled. Age, male sex, living altitude ≥ 3500 m, overweight and abdominal obesity were positively correlated with hypertension. In addition, the adjusted odds ratio (OR) for hypertension was 1.33 (95% CI: 1.01-1.74) for drinking tea with salt, and 1.51 (95% CI: 1.32-1.72) for per SD increase in the estimation of 24-hour urinary sodium excretion (e24hUSE). Furthermore, per 100mmol/day increase in e24hUSE was associated with elevation of blood pressure (+ 10.16, 95% CI: 8.45-11.87 mmHg for SBP; +3.83, 95% CI: 2.74-4.93 mmHg for DBP) in this population.

CONCLUSIONS

Our survey suggests a heavy disease burden of hypertension in the Ganzi Tibetan Plateau. Age, male sex, altitude of residence ≥ 3500 m, overweight, abdominal obesity, and excessive salt intake (shown as drinking tea with adding salt and a higher level of e24hUSE) all increased the risk of hypertension in this highland area.

Diabetes mellitus early warning and factor analysis using ensemble Bayesian networks with SMOTE-ENN and Boruta

Diabetes mellitus (DM) has become the third chronic non-infectious disease affecting patients after tumor, cardiovascular and cerebrovascular diseases, becoming one of the major public health issues worldwide. Detection of early warning risk factors for DM is key to the prevention of DM, which has been the focus of some previous studies. Therefore, from the perspective of residents' self-management and prevention, this study constructed Bayesian networks (BNs) combining feature screening and multiple resampling techniques for DM monitoring data with a class imbalance in Shanxi Province, China, to detect risk factors in chronic disease monitoring programs and predict the risk of DM. First, univariate analysis and Boruta feature selection algorithm were employed to conduct the preliminary screening of all included risk factors. Then, three resampling techniques, SMOTE, Borderline-SMOTE (BL-SMOTE) and SMOTE-ENN, were adopted to deal with data imbalance. Finally, BNs developed by three algorithms (Tabu, Hill-climbing and MMHC) were constructed using the processed data to find the warning factors that strongly correlate with DM. The results showed that the accuracy of DM classification is significantly improved by the BNs constructed by processed data. In particular, the BNs combined with the SMOTE-ENN resampling improved the most, and the BNs constructed by the Tabu algorithm obtained the best classification performance compared with the hill-climbing and MMHC algorithms. The best-performing joint Boruta-SMOTE-ENN-Tabu model showed that the risk factors of DM included family history, age, central obesity, hyperlipidemia, salt reduction, occupation, heart rate, and BMI.

Machine learning-enabled risk prediction of chronic obstructive pulmonary disease with unbalanced data

BACKGROUND AND OBJECTIVE

Since the early symptoms of chronic obstructive pulmonary disease (COPD) are not obvious, patients are not easily identified, causing improper time for prevention and treatment. In present study, machine learning (ML) methods were employed to construct a risk prediction model for COPD to improve its prediction efficiency.

METHODS

We collected data from a sample of 5807 cases with a complete COPD diagnosis from the 2019 COPD Surveillance Program in Shanxi Province and extracted 34 potentially relevant variables from the dataset. Firstly, we used feature selection methods (i.e., Generalized elastic net, Lasso and Adaptive lasso) to select ten variables. Afterwards, we employed supervised classifiers for class imbalanced data by combining the cost-sensitive learning and SMOTE resampling methods with the ML methods (Logistic Regression, SVM, Random Forest, XGBoost, LightGBM, NGBoost and Stacking), respectively. Last, we assessed their performance.

RESULTS

The cough frequently at age 14 and before and other 9 variables are significant parameters for COPD. The Stacking heterogeneous ensemble model showed relatively good performance in the unbalanced datasets. The Logistic Regression with class weighting enjoyed the best classification performance in the balancing data when these composite indicators (AUC, F1-Score and G-mean) were used as criteria for model comparison. The values of F1-Score and G-mean for the top three ML models were 0.290/0.660 for Logistic Regression with class weighting, 0.288/0.649 for Stacking with synthetic minority oversampling technique (SMOTE), and 0.285/0.648 for LightGBM with SMOTE.

CONCLUSIONS

This paper combining feature selection methods, unbalanced data processing methods and machine learning methods with data from disease surveillance questionnaires and physical measurements to identify people at risk of COPD, concluded that machine learning models based on survey questionnaires could provide an automated identification for patients at risk of COPD, and provide a simple and scientific aid for early identification of COPD.

Prevalence, Management, and Associated Factors of Obesity, Hypertension, and Diabetes in Tibetan Population Compared with China Overall

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/m²) 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.

Prevalence of hypertension and its relationship with altitude in highland areas: a systematic review and meta-analysis

This systematic review and meta-analysis synthesized the pooled prevalence of hypertension at high altitudes and explored its correlation with altitude using studies published in Chinese and English from database inception to February 2021. A systematic literature search was conducted among bibliographic databases (PubMed, Embase, and Web of Science) and three Chinese databases (CNKI, VIP, and Wanfang data) to identify eligible studies. A random-effects model was used to calculate the overall pooled prevalence of hypertension. The I² statistic was used to assess heterogeneity across studies. Random-effects meta-regression was conducted to investigate covariates that may have influenced between-study heterogeneity. The pooled prevalence of hypertension among the general population in high-altitude areas was 33.0% (95% CI: 29.0-38.0%), with high between-study heterogeneity (I² = 99.4%, P < 0.01). Subgroup analyses showed the pooled prevalence of hypertension in Tibetan individuals was significantly higher than that in non-Tibetan individuals living in the Himalayas and Pamir Mountains (41% vs. 18%). A trend toward an increase in the prevalence of hypertension was found with every 100-m increase in elevation (coefficient: 0.012, 95% CI: -0.001 to 0.025, P = 0.069) only in Tibetan individuals. In addition, in these individuals, we found an increase in mean diastolic BP with each 100-m increase in altitude (coefficient: 0.763, 95% CI: 0.122-1.403, P = 0.025). Our meta-analysis suggests that the pooled prevalence of hypertension among the general population in high-altitude areas is 33.0%. Subjects of Tibetan ethnicity were more prone to developing hypertension at high altitudes. However, a very weak relationship between altitude and the prevalence of hypertension was found only in Tibetan individuals.

Epidemiological features of hypertension among ischemic survivors in Northeast China: insights from a population-based study, 2017-2019

BACKGROUND

Hypertension remains the major modifiable risk factor of stroke recurrence. The study aimed to determine the up-to-date epidemiological features of hypertension among the survivors of ischemic stroke.

METHODS

Our cross-sectional study included 18,796 adults aged ≥40 years and residing in northeast China. Ischemic stroke was diagnosed according to the World Health Organization's criteria, which requires the clinical record, computed tomography (CT) and/or magnetic resonance imaging (MRI) during the hospital stay. Hypertension was defined according to the Chinese hypertension guidelines (mean SBP ≥140 mmHg and/or mean DBP ≥90 mmHg, and/or self-reported use of anti-hypertensive medication in the past 2 weeks).

RESULTS

Of the 986 survivors of ischemic stroke, 819 (83.1%) were identified with hypertension (535 were pre-stroke hypertension and 284 were post-stroke hypertension). Among hypertensive patients, the awareness and treatment rates were 76.8 and 66.7% respectively. Only 11.0% achieved an appropriate blood pressure (< 140 mmHg and < 90 mmHg) among those who took hypertensive medications. 16.8% of treated hypertensive patients received combination therapy, and calcium channel blockers were the most frequently used anti-hypertensive medication as monotherapy. The mean systolic blood pressure (SBP) and diastolic blood pressure (DBP) of the stroke population was 155.3 ± 22.9 mmHg and 89.2 ± 12.3 mmHg. Both SBP and DBP were higher in rural patients than in urban patients (158.5 ± 23.8 mmHg vs. 146.4 ± 17.5 mmHg and 90.3 ± 12.9 mmHg vs. 85.9 ± 10.1 mmHg, respectively; p < 0.001). The rates of stage 2 and above hypertension in the ischemic stroke population were 32.5 and 18.7%, and was significantly higher in rural areas than in urban areas.

CONCLUSIONS

The prevalence of poorly-controlled hypertension and the high rates of blood pressures at stages 2 and above in patients with prior ischemic stroke demonstrated an alarming situation in northeast China.

Prevalence, awareness, treatment and control of hypertension among Ngawa Tibetans in China: a cross-sectional study

OBJECTIVES

To explore the prevalence, awareness, treatment and control rate of hypertension and analyse the potential social environment factors among Ngawa Tibetans in China.

DESIGN

This was a cross-sectional observational study.

SETTING

The investigation based on a multistage stratified cluster sampling was conducted in the Ngawa area, Sichuan Province, Southwest China. Tibetan residents were selected by random sampling method from one city and six counties in Ngawa.

METHODS

Basic demographical information, physical activity and blood pressure were collected. In addition, the participants completed the questionnaire. A multivariate logistic regression analysis was used to examine the association between the prevalence, awareness, treatment and control rate of hypertension and the potential risk factors.

PARTICIPANTS

The sample comprised 2228 Ngawa Tibetan residents (age 18-80 years) from September 2018 to June 2019.

RESULTS

The prevalence rate of hypertension was 24.6%. The control rate was 6.2%, while the awareness rate (32.3%) and treatment rate (21.7%) of hypertension had been significantly improved.

CONCLUSION

The prevalence of hypertension among Ngawa Tibetans was high. The awareness and treatment were improved in recent years. But the control rate was low. The government needs to strengthen the basic medical care and health education for Ngawa Tibetans.

A cross-sectional study on the ability of physicians to hypertension management in China's Sichuan Tibetan rural area

This study aimed to investigate the hypertension management abilities of rural physicians in a high‐altitude Tibetan area. A cross‐sectional survey was conducted in the Ganzi Tibetan Autonomous Prefecture, China, in October 2020. Information about healthcare resources in local medical institutions, along with the knowledge, attitudes, practices, and training status of primary care physicians, was collected. Limited resources were observed in terms of equipment, drugs, and personnel in the 18 township hospitals included. A total of 132 physicians participated in this survey. The scores for hypertension‐related knowledge, attitudes toward hypertension management, routine practice ability, priority given to hypertension, and confidence in performing certain tasks were 32.60%, 67.40%, 18.90%, 65.15%, and 35.60%, respectively. The most concerning issues lay in the ignorance of the healthy lifestyle, undervaluation of cardiovascular risks, and lack of confidence in optimally performing management activities. Only 9.85% of the physicians received more than 24 days of training per year; 28.79% preferred a longer training time. While training was generally provided in conference sessions (63.64% of current training programs), physicians preferred remote education (55.30%), and on‐site guidance (46.21%) from professionals. The current training was centered around clinical skills (61.36%) and was identified as a major training requirement by the physicians surveyed (80.30%). This survey suggests that the medical resources may not be effective, with deficiencies present in the knowledge and practices of primary care physicians in the Sichuan Tibetan area. Hypertension education and skill‐development courses based on the specific issues identified should be provided to these physicians in the future.

Exploratory study on classification of diabetes mellitus through a combined Random Forest Classifier

BACKGROUND

Diabetes Mellitus (DM) has become the third chronic non-communicable disease that hits patients after tumors, cardiovascular and cerebrovascular diseases, and has become one of the major public health problems in the world. Therefore, it is of great importance to identify individuals at high risk for DM in order to establish prevention strategies for DM.

METHODS

Aiming at the problem of high-dimensional feature space and high feature redundancy of medical data, as well as the problem of data imbalance often faced. This study explored different supervised classifiers, combined with SVM-SMOTE and two feature dimensionality reduction methods (Logistic stepwise regression and LAASO) to classify the diabetes survey sample data with unbalanced categories and complex related factors. Analysis and discussion of the classification results of 4 supervised classifiers based on 4 data processing methods. Five indicators including Accuracy, Precision, Recall, F1-Score and AUC are selected as the key indicators to evaluate the performance of the classification model.

RESULTS

According to the result, Random Forest Classifier combining SVM-SMOTE resampling technology and LASSO feature screening method (Accuracy = 0.890, Precision = 0.869, Recall = 0.919, F1-Score = 0.893, AUC = 0.948) proved the best way to tell those at high risk of DM. Besides, the combined algorithm helps enhance the classification performance for prediction of high-risk people of DM. Also, age, region, heart rate, hypertension, hyperlipidemia and BMI are the top six most critical characteristic variables affecting diabetes.

CONCLUSIONS

The Random Forest Classifier combining with SVM-SMOTE and LASSO feature reduction method perform best in identifying high-risk people of DM from individuals. And the combined method proposed in the study would be a good tool for early screening of DM.

Characteristics of Cerebral Stroke in the Tibet Autonomous Region of China

It is well known that cerebrovascular disease has become an important cause of adult death and disability. Strikingly, the Tibet Autonomous Region (TAR) ranks on the top in China for the incidence of stroke. To help explain this phenomenon, we have searched for and analyzed stroke-related literature for the TAR in the past 2 decades and have referenced reports from other regions at similar altitudes. This article focuses on epidemiology features, risk factors, and pathogenesis of stroke in the TAR in an effort to generate a better understanding of the characteristics of stroke in this region. The special plateau-related factors such as its high elevation, limited oxygen, the high incidence of hypertension, smoking, and the unique dietary habits of the region are correlated with the high incidence of stroke. In addition to these factors, the pathogenesis of stroke in this high-altitude area is also unique. However, there is no established explanation for the unique occurrence and high incidence of stroke in the TAR. Our study provides an important rationale not only for the clinic to prevent and treat this disease, but also for the government to develop appropriate health policies for the prevention of stroke in the TAR.

Urban-Rural disparities in status of hypertension in northeast China: a population-based study, 2017-2019

Background

To investigate the status of hypertension and related risk factor disparities between urban and rural areas of northeast China.

Methods

A multi-stage, stratified, and cluster random sampling method was used to conduct the cross-sectional survey in Liaoning Province in 2017-2019. Finally, included 18,796 participants (28.9% urban, 71.1% rural) aged ≥40 years. The prevalence and control rate of hypertension were estimated based on Chinese hypertension guidelines and the 2017 American College of Cardiology/American Heart Association (ACC/AHA) guidelines.

Results

The mean age of the population was 60.4±9.9 years, and 61.0% were women. The overall prevalence of hypertension was 56.8%. Compared to urban areas, hypertension was more prevalent, but the awareness, treatment, and control rates were lower in rural areas (59.2 vs 50.2, 52.5% vs 47.0%, 46.9% vs 34.9%, and 11.4% vs 3.7%, P<0.001, respectively). Multivariate regression analysis identified that the lack of exercise (odds ratio (OR), 1.24; 95% confidence interval (CI), 1.10-1.38) in rural areas, whereas overweight/obesity (OR, 2.01; 95% CI, 1.79-2.27) and alcohol consumption (OR, 1.20; 95% CI, 1.01-1.41) in urban areas were specific risk factors for hypertension, besides common risk factors. Under the 2017 ACC/AHA guidelines, the prevalence of hypertension was 80.6% (urban 76.6%, rural 82.2%), increased 1.4-fold compared with the current Chinese guidelines, with increased rates of 27.9% in urban areas and 25.7% in rural areas.

Conclusion

A highly diverse prevalence for hypertension was found between urban and rural areas in northeast China. Region-specific strategies targeting the prevention and management of hypertension should be highlighted.

Application of a Tabu search-based Bayesian network in identifying factors related to hypertension

The study aimed to study the related factors of hypertension using multivariate logistic regression analysis and tabu search-based Bayesian Networks (BNs). A cluster random sampling method was adopted to obtain samples of the general population aged 15 years or above. Multivariate logistic regression analysis indicated that gender, age, cultural level, body mass index (BMI), central obesity, drinking, diabetes mellitus, Myocardial infarction, Coronary heart disease, Stroke are associated with hypertension. While BNs found connections between those related factors and hypertension were established by complex network structure, age, smoking, occupation, cultural level, BMI, central obesity, drinking, diabetes mellitus, myocardial infarction, coronary heart disease, nephropathy, stroke were direct connection with hypertension, gender was indirectly linked to hypertension through drinking. The results showed that BNs can not only find out the correlative factors of hypertension but also analyze how these factors affect hypertension and their interrelationships, which is consistent with practical theory better than logistic regression and has a better application prospects.

Hypertension Prevalence, Treatment and Control in Older Adults in a Brazilian Capital City

BACKGROUND

The diagnosis, treatment and control of arterial hypertension are fundamental for a reduction in cardiovascular outcomes, especially in the elderly. In Brazil, there are few studies that specifically identified these rates in the elderly population.

OBJECTIVE

To verify rates of prevalence, treatment and control of hypertension in elderly people living in the urban area of a Brazilian capital city.

METHODS

A cross-sectional, population-based, randomized, cluster-based study with 912 non-institutionalized elderly individuals (≥ 60 years), living in urban areas in the city of Goiania, Midwest Brazil. Predictor variables were: age, gender, socioeconomic and lifestyle aspects. Blood pressure measurements were performed at home; patients were considered as having arterial hypertension when SBP and/or DBP ≥ 140/90 mmHg or when using antihypertensive drugs (dependent variable). Rates of hypertension treatment and control were evaluated. Variable association analyses were performed by multivariate logistic regression and level of significance was set at 5%.

RESULTS

The prevalence of arterial hypertension was 74.9%, being higher (78.6%) in men (OR 1.4, 95% CI: 1.04-1.92); the treatment rate was 72.6%, with higher rates being observed in smokers (OR 2.06, 95% CI: 1.28-3.33). The rate of hypertension control was 50.8%,being higher in women (OR 1.57, 95% CI: 1.19-2.08).

CONCLUSION

The prevalence rates were high. Treatment and control rates were low and associated with gender, age and lifestyle, indicating the need for early and individual interventions.

The prevalence of hyperuricemia and its correlates in Ganzi Tibetan Autonomous Prefecture, Sichuan Province, China

Background

Hyperuricemia is a common and serious public health problem. There has been no broad epidemiological survey of hyperuricemia in China, especially in Tibetan area. This study was therefore investigated the prevalence of hyperuricemia and its correlated factors among people aged 18–85 years in Ganzi Tibetan Autonomous Prefecture, Sichuan Province, China.

Methods

We carried out a cross-sectional study among 3093 participants in Ganzi Tibetan Autonomous Prefecture using questionnaires in face-to-face interviews, anthropometric measurements and biochemical tests. We included 1416 subjects with complete data including serum uric acid and medical history to analyze the prevalence of hyperuricemia and correlated factors. Hyperuricemia was defined as a fasting serum uric acid level higher than 420 μmol/L in men and 360 μmol/L in women.

Results

The overall crude prevalence of hyperuricemia was 37.2%, and was greater in men than women (41% vs 34.4%, P = 0.011). The age-adjusted prevalence was 33.0%. Characteristics linked to hyperuricemia were farmers-herdsmen (OR: 1.749, 95% CI: 1.022–2.992), low to moderate education level (low OR:1.57, 95% CI: 1.102–2.237; moderate OR: 1.86, 95% CI: 1.167–2.963), current drinking (OR: 1.795, 95% CI: 1.193–2.702), hypertension (OR: 1.48, 95% CI: 1.091–2.006), higher body mass index (1 unit increase) (OR: 1.116, 95% CI: 1.077–1.156) and higher serum creatinine (1 unit increase) (OR: 1.046, 95% CI: 1.034–1.059). Serum uric acid was positively related to triglycerides and total cholesterol and negatively related to high density lipoprotein cholesterol in all subjects. Hyperuricemia was a risk factor for high triglyceride ((OR: 2.13, 95% CI: 1.156–3.9266) and high total cholesterol (OR: 2.313, 95% CI: 1.364–3.923) in men and for high low-density lipoprotein cholesterol (OR: 2.696, 95% CI: 1.386–5.245) in women.

Conclusion

There is a high prevalence of hyperuricemia in Ganzi Tibetan Autonomous Prefecture. The government needs to prevent and manage hyperuricemia in this area.

Effect of religion on hypertension in adult Buddhists and residents in China: A cross-sectional study

Correlation between religion and hypertension is worth investigating since they both influence many people. Compared to studies which quantify religion with indicators representing only restricted dimensions of religion, researches assessing religion as an integral is preferable while lacking. Moreover, religious behaviors have great potential to be generalized if they are proved to be mediator through which religion exerts effect. However, relevant evidence is limited. Therefore, this cross-sectional study recruited 1384 adult Tibetan Buddhists from two Buddhist institutes in the Sichuan Province of China, and enrolled 798 adult Tibetan residents from nearby villages/towns. Each participant received a questionnaire, physical examination, and blood biochemistry tests. Buddhist effect on hypertension was investigated. The effects of uniquely Buddhist behaviors on hypertension were analyzed. The hypertensive risk of the Tibetan Buddhists is significantly decreased by 38% than Tibetan residents. As a Buddhist behavior, vegetarian diet highly approximates to be protective for Tibetan hypertension. As another Buddhist behavior, longer Buddhist activity participation time is associated with decreased prevalence of hypertension as well as lower blood pressure (BP) by analyzing subgroup of 570 Buddhists. Therefore, the protective role of religion on hypertension is suggested, and the religious behaviors are mediators which may be applied to general population.

Anthropometric Indices Predict the Development of Hypertension in Normotensive and Pre-Hypertensive Middle-Aged Women in Tianjin, China: A Prospective Cohort Study

BACKGROUND The aims of this study were to investigate the relationship between optimal anthropometric indices and their cut-off values and the incidence of hypertension in a cohort of middle-aged women in China. MATERIAL AND METHODS A cohort of 812 women, aged between 40-70 years were recruited between May 2011 and June 2013. An ideal baseline blood pressure was defined as <120/80 mmHg; pre-hypertension was 120-139/80-89 mmHg; hypertension was ≥140/≥90 mmHg. Anthropometric measurements included waist circumference (WC), body mass index (BMI), waist-hip ratio (WHR), and waist-height ratio (WHtR). The cohort was divided into an ideal blood pressure group (Group 1) and a pre-hypertensive group (Group 2). Two-year follow-up blood pressure measurements were performed. Receiver-operating characteristic (ROC) curve analysis determined the optimal anthropometric indices and cut-off values for developing hypertension. RESULTS At two-year follow-up, hypertension developed in 9.0% (n=31) in Group 1 and 32.3% (n=121) in Group 2. Logistic regression analysis showed that in both groups, women in the highest quartile for WC, BMI, WHR, and WHtR had a significantly increased risk of developing hypertension compared with the lowest quartile (P<0.05). ROC curve area under the curve (AUC) for these anthropometric indices were greater in Group 1, and for WC in Groups 1 and 2, with the optimal cut-off values greater in Group 1. CONCLUSIONS In a cohort of middle-aged women in China, anthropometric indices of obesity were predictive of the development of hypertension during a two-year follow-up period.

Prevalence of hyperlipidemia in Shanxi Province, China and application of Bayesian networks to analyse its related factors

This study aimed to obtain the prevalence of hyperlipidemia and its related factors in Shanxi Province, China using multivariate logistic regression analysis and tabu search-based Bayesian networks (BNs). A multi-stage stratified random sampling method was adopted to obtain samples among the general population aged 18 years or above. The prevalence of hyperlipidemia in Shanxi Province was 42.6%. Multivariate logistic regression analysis indicated that gender, age, region, occupation, vegetable intake level, physical activity, body mass index, central obesity, hypertension, and diabetes mellitus are associated with hyperlipidemia. BNs were used to find connections between those related factors and hyperlipidemia, which were established by a complex network structure. The results showed that BNs can not only be used to find out the correlative factors of hyperlipidemia but also to analyse how these factors affect hyperlipidemia and their interrelationships, which is consistent with practical theory, is superior to logistic regression and has better application prospects.

Prevalence of stroke and associated risk factors: a population based cross sectional study from northeast China

OBJECTIVES

Epidemiological studies aimed at stroke and its risk factors can help identify persons at higher risk and therefore promote stroke prevention strategies. We aimed to explore the current prevalence of stroke and its associated risk factors in northeast China.

DESIGN

Population based cross sectional study.

SETTING

Data were collected using a structured precoded questionnaire designed by the Stroke Screening and Prevention Programme of the National Health and Family Planning Commission of China, between January and March 2016.

PARTICIPANTS

4100 permanent residents, aged 40 years or older, who had lived in Dehui City of Jilin Province for more than 6 months volunteered to participate in the survey, with a response rate of 92.2%. For the purpose of the present analysis, 48 subjects were excluded due to missing values, giving a total of 4052 people included in this analysis.

MAIN OUTCOME MEASURE

The questionnaire included demographic characteristics, stroke related behavioural factors, personal and family medical history of stroke, physical examination and laboratory testing.

RESULTS

The overall prevalence of stroke in Jilin Province was 7.2% (95% CI 6.3% to 8.2%). Of all stroke cases, 91.7% (95% CI 87.4% to 94.6%) were ischaemic stroke and 8.3% (95% CI 5.4% to 12.6%) were haemorrhagic stroke. The prevalence rates of dyslipidaemia, smoking and hypertension were ranked as the top three cerebrovascular risk factors and were 62.1%, 61.8% and 57.3%, respectively. We found that hypertension, dyslipidaemia and lack of exercise were associated with ischaemic stroke. However, only hypertension (OR=4.064, 95% CI 1.358 to 12.160) was significantly associated with haemorrhagic stroke.

CONCLUSIONS

The prevalence of stroke, especially ischaemic stroke, and associated cerebrovascular risk factors among adults aged 40 years or older in northeast China were high. A higher regional prevalence of hypertension, dyslipidaemia and lack of exercise may be responsible.

Changes in hypertension prevalence, awareness, treatment and control rates over 20 years in National Capital Region of India: results from a repeat cross-sectional study

BACKGROUND AND OBJECTIVES

Despite being one of the leading risk factors of cardiovascular mortality, there are limited data on changes in hypertension burden and management from India. This study evaluates trend in the prevalence, awareness, treatment and control of hypertension in the urban and rural areas of India's National Capital Region (NCR).

DESIGN AND SETTING

Two representative cross-sectional surveys were conducted in urban and rural areas (survey 1 (1991-1994); survey 2 (2010-2012)) of NCR using similar methodologies.

PARTICIPANTS

A total of 3048 (mean age: 46.8±9.0 years; 52.3% women) and 2052 (mean age: 46.5±8.4 years; 54.2% women) subjects of urban areas and 2487 (mean age: 46.6±8.8 years; 57.0% women) and 1917 (mean age: 46.5±8.5 years; 51.3% women) subjects of rural areas were included in survey 1 and survey 2, respectively.

PRIMARY AND SECONDARY OUTCOME MEASURES

Hypertension was defined as per Joint National Committee VII guidelines. Structured questionnaire was used to measure the awareness and treatment status of hypertension. A mean systolic blood pressure <140 mm Hg and diastolic blood pressure <90 mm Hg was defined as control of hypertension among the participants with hypertension.

RESULTS

The age and sex standardised prevalence of hypertension increased from 23.0% to 42.2% (p<0.001) and 11.2% to 28.9% (p<0.001) in urban and rural NCR, respectively. In both surveys, those with high education, alcohol use, obesity and high fasting blood glucose were at a higher risk for hypertension. However, the change in hypertension prevalence between the surveys was independent of these risk factors (adjusted OR (95% CI): urban (2.3 (2.0 to 2.7)) rural (3.1 (2.4 to 4.0))). Overall, there was no improvement in awareness, treatment and control rates of hypertension in the population.

CONCLUSION

There was marked increase in prevalence of hypertension over two decades with no improvement in management.