Prevalence, Awareness, Treatment, Control, and Related Factors of Hypertension among Tajik Nomads Living in Pamirs at High Altitude

Awareness, Treatment, and Control of Hypertension among 10663 Adults Based on the Baseline Data of the Kherameh Cohort Study

Background

A comprehensive strategy to reduce the complications of hypertension (HTN) should include prevention approaches, such as increasing awareness, early diagnosis, and adequate treatment. The present study aimed to assess awareness, treatment, and control of HTN and their related factors in Kherameh, Iran.

Methods

This cross-sectional study was performed on 10 663 individuals aged between 40 and 70 years using the Kherameh cohort data. HTN was defined as either systolic/diastolic blood pressure ≥140/90 mmHg or taking medications. Logistic regression was used to investigate the relationship between awareness, treatment, and control of HTN and demographic factors, comorbidities, and a family history of diseases.

Results

Out of 10 663 participants, 4719 (44.3%) were men, and the average age of the participants was 51.94±8.27 years. The rates of the prevalence, awareness, treatment, and control of HTN were 27.7% (95% CI, 26.86 to 28.54), 80.3% (95% CI, 79.56 to 81.04), 78% (95% CI, 77.22 to 78.78), and 53.6% (95% CI, 52.66 to 54.54), respectively. Age, gender, body mass index, and cardiovascular disease were associated with all the dependent variables in the regression model. Additionally, occupation, diabetes, chronic diseases, a history of cardiovascular disease in first and second-degree relatives and a history of chronic diseases in second-degree relatives were related to all the dependent variables except for treatment.

Conclusion

A high percentage of the patients were aware of their disease, but a smaller proportion were on medication. Consequently, about half the patients had blood pressure below 140/90 mmHg.

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.

Barriers to Access to Treatment for Hypertensive Patients in Primary Health Care of Less Developed Northwest China: A Predictive Nomogram

Background

This study aims to evaluate the risk factors associated with untreated hypertension and develop and internally validate untreated risk nomograms in patients with hypertension among primary health care of less developed Northwest China.

Methods

A total of 895 eligible patients with hypertension in primary health care of less developed Northwest China were divided into a training set (n = 626) and a validation set (n = 269). Untreated hypertension was defined as not taking antihypertensive medication during the past two weeks. Using least absolute shrinkage and selection operator (LASSO) regression model, we identified the optimized risk factors of nontreatment, followed by establishment of a prediction nomogram. The discriminative ability, calibration, and clinical usefulness were determined using the area under the receiver operating characteristic curve (AUC), calibration curve, and decision analysis. The results were assessed by internal validation in the validation set.

Results

Five independent risk factors were derived from LASSO regression model and entered into the nomogram: age, herdsman, family income per member, altitude of habitation, and comorbidity. The nomogram displayed a robust discrimination with an AUC of 0.859 (95% confidence interval: 0.812–0.906) and good calibration. The nomogram was clinically useful when the intervention was decided at the untreated possibility threshold of 7% to 91% in the decision curve analysis. Results were confirmed by internal validation.

Conclusions

Our nomogram showed favorable predictive accuracy for untreated hypertension in primary health care of less developed Northwest China and might help primary health care assess the risk of nontreatment in patients with hypertension.