Ethnic differences in the incidence of hypertension among rural Chinese adults: results from Liaoning Province

Association between serum albumin concentration change trajectory and risk of hypertension: a cohort study in China

Background

We sought to assess the risk of hypertension based on the trajectory of changes in serum albumin concentrations.

Methods

A total of 11,946 nonhypertension adults aged 30-60 years who underwent at least 3 medical examinations between 2009 and 2016 were included in this study. Group-based trajectory models were obtained for 4 category groups, and logistic regression models were used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for each category group of serum albumin concentration and the risk of hypertension.

Results

During a mean follow-up period of 4.30 years, 1,537 hypertension events occurred in 11,946 subjects without hypertension. A high stable trajectory of serum albumin concentrations (OR, 0.70, 95% CI, 0.51-0.96) was associated with a significantly lower risk of developing hypertension. The results of the sensitivity analysis of the high stable trajectory (OR, 0.64, 95% CI, 0.43-0.96) remained statistically significant. Subjects with normal weight and those ≥45 years of age had a significantly lower risk of hypertension at moderate increase (P = 0.053 or 0.026) and high stable trajectories (P = 0.011 or 0.016). In males and overweight subjects, the risk of hypertension was significantly lower in the high stable trajectory (P = 0.038 or 0.044).

Conclusion

In this study, we found that moderate increase in serum albumin concentrations and a high stable trajectory were significantly associated with a reduced risk of hypertension in subjects aged ≥45 years and those with normal weight and that high stable serum albumin concentrations were significantly associated with a reduced risk of hypertension in males and overweight subjects.

Cohort profile for the Tongji Cardiovascular Health Study: a prospective multiomics cohort study

PURPOSE

The Tongji Cardiovascular Health Study aimed to further explore the onset and progression mechanisms of cardiovascular disease (CVD) through a combination of traditional cohort studies and multiomics analysis, including genomics, metabolomics and metagenomics.

STUDY DESIGN AND PARTICIPANTS

This study included participants aged 20-70 years old from the Geriatric Health Management Centre of Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology. After enrollment, each participant underwent a comprehensive series of traditional and novel cardiovascular risk factor assessments at baseline, including questionnaires, physical examinations, laboratory tests, cardiovascular health assessments and biological sample collection for subsequent multiomics analysis (whole genome sequencing, metabolomics study from blood samples and metagenomics study from stool samples). A biennial follow-up will be performed for 10 years to collect the information above and the outcome data.

FINDINGS TO DATE

A total of 2601 participants were recruited in this study (73.4% men), with a mean age of 51.5±11.5 years. The most common risk factor is overweight or obesity (54.8%), followed by hypertension (39.7%), hyperlipidaemia (32.4%), current smoking (23.9%) and diabetes (12.3%). Overall, 13.1% and 48.7% of men and women, respectively, did not have any of the CVD risk factors (hypertension, hyperlipidaemia, diabetes, cigarette smoking and overweight or obesity). Additionally, multiomics analyses of a subsample of the participants (n=938) are currently ongoing.

FUTURE PLANS

With the progress of the cohort follow-up work, it is expected to provide unique multidimensional and longitudinal data on cardiovascular health in China.

Development and validation of prediction models for hypertension risks: A cross-sectional study based on 4,287,407 participants

Objective

To develop an optimal screening model to identify the individuals with a high risk of hypertension in China by comparing tree-based machine learning models, such as classification and regression tree, random forest, adaboost with a decision tree, extreme gradient boosting decision tree, and other machine learning models like an artificial neural network, naive Bayes, and traditional logistic regression models.

Methods

A total of 4,287,407 adults participating in the national physical examination were included in the study. Features were selected using the least absolute shrinkage and selection operator regression. The Borderline synthetic minority over-sampling technique was used for data balance. Non-laboratory and semi-laboratory analyses were carried out in combination with the selected features. The tree-based machine learning models, other machine learning models, and traditional logistic regression models were constructed to identify individuals with hypertension, respectively. Top features selected using the best algorithm and the corresponding variable importance score were visualized.

Results

A total of 24 variables were finally included for analyses after the least absolute shrinkage and selection operator regression model. The sample size of hypertensive patients in the training set was expanded from 689,025 to 2,312,160 using the borderline synthetic minority over-sampling technique algorithm. The extreme gradient boosting decision tree algorithm showed the best results (area under the receiver operating characteristic curve of non-laboratory: 0.893 and area under the receiver operating characteristic curve of semi-laboratory: 0.894). This study found that age, systolic blood pressure, waist circumference, diastolic blood pressure, albumin, drinking frequency, electrocardiogram, ethnicity (uyghur, hui, and other), body mass index, sex (female), exercise frequency, diabetes mellitus, and total bilirubin are important factors reflecting hypertension. Besides, some algorithms included in the semi-laboratory analyses showed less improvement in the predictive performance compared to the non-laboratory analyses.

Conclusion

Using multiple methods, a more significant prediction model can be built, which discovers risk factors and provides new insights into the prediction and prevention of hypertension.

Examining sex disparity in the association of waist circumference, waist-hip ratio and BMI with hypertension among older adults in India

Hypertension is a public health issue touted as a “silent killer” worldwide. The present study aimed to explore the sex differential in the association of anthropometric measures including body mass index, waist circumference, and waist-hip ratio with hypertension among older adults in India. The study used data from the Longitudinal Aging Study in India (LASI) conducted during 2017–18. The sample contains 15,098 males and 16,366 females aged 60 years and above. Descriptive statistics (percentages) along with bivariate analysis were presented. Multivariable binary logistic regression analyses were used to examine the associations between the outcome variable (hypertension) and putative risk or protective factors. About 33.9% of males and 38.2% of females aged 60 years and above suffered from hypertension. After adjusting for the socioeconomic, demographic and health-behavioral factors, the odds of hypertension were 1.37 times (CI: 1.27–1.47), significantly higher among older adults who were obese or overweight than those with no overweight/obese condition. Older adults with high-risk waist circumference and waist-hip ratio had 1.16 times (CI: 1.08–1.25) and 1.42 times (CI: 1.32–1.51) higher odds of suffering from hypertension, respectively compared to their counterparts with no high-risk waist circumference or waist-hip ratio. The interaction effects showed that older females with overweight/obesity [OR: 0.84; CI: 0.61–0.74], high-risk waist circumference [OR: 0.89; CI: 0.78–0.99], and high-risk waist-hip ratio [OR: 0.90; CI: 0.83–0.97] had a lower chance of suffering from hypertension than their male counterparts with the similar anthropometric status. The findings suggested a larger magnitude of the association between obesity, high-risk waist circumference, high-risk waist-hip ratio and prevalent hypertension among older males than females. The study also highlights the importance of measuring obesity and central adiposity in older individuals and using such measures as screening tools for timely identification of hypertension.

Incident hypertension in urban slums of central India: a prospective cohort study

Background

Numerous studies have highlighted the burden of hypertension by estimating its prevalence. However, information regarding quantum and characteristics of persons whose blood pressure converts to hypertension range from their previous state of prehypertension or normal blood pressure is crucial for any public health programme. We aimed to estimate incidence rate of hypertension and to identify risk factors for the same, so that it is useful for programme implementation.

Methods

We established a cohort of adults residing in urban slums of Bhopal, who were registered in a baseline cardiovascular risk assessment survey, which was performed between November 2017 and March 2018. Blood pressure assessment was done at least three times at baseline for diagnosis of hypertension, which was defined as systolic blood pressure ≥140 mm Hg or diastolic blood pressure ≥90 mm Hg on two occasions. Participants who did not have a diagnosis of hypertension were followed up during April–June 2019.

Results

Of the 5673 participants assessed at baseline, 4185 did not have hypertension of which 3199 (76.4%) were followed up after a median on 1.25 years (IQR 1.08–1.60) and a total of 170 (5.31%) individuals were detected with incident hypertension. Overall incidence rate of hypertension was 4.1 (95% CI 3.54 to 4.75) per 100 person-years of follow-up. On multivariate analysis, age (relative risk/RR 1.98; 95% CI 1.19 to 3.3, for age >60 years), being in first and second wealth tertile (T-1 RR 1.85; 95% CI 1.17 to 2.91) and being illiterate (RR 1.94; 95% CI 1.31 to 2.86) were significant predictors of incident hypertension. Individuals who had prehypertension at baseline also had a significantly increased risk of developing hypertension (RR 2.72; 95% CI 1.83 to 4.03).

Conclusions

We found that incidence of hypertension in urban slums of central India is higher with increasing age and in men. Illiteracy, lower Wealth Index and prehypertension are other determinants. We also demonstrate feasibility of establishing a cohort within the public health delivery system, driven by efforts of community health workers.

Long-term trends and regional variations of hypertension incidence in China: a prospective cohort study from the China Health and Nutrition Survey, 1991-2015

OBJECTIVE

The aim is to explore the trends of hypertension incidence and regional variations in China from 1991 to 2015.

DESIGN

A dynamic prospective cohort study.

SETTING

China Health and Nutrition Survey 1991-2015.

PARTICIPANTS

12 952 Chinese adults aged 18+ years.

PRIMARY OUTCOME MEASURES

Incident hypertension from 1993 to 2015.

RESULTS

Age-standardised hypertension incidence increased from 40.8 per 1000 person-years (95% CI 38.3 to 43.4) between 1993 and 1997 to 48.6 (95% CI 46.1 to 51.0) between 2011 and 2015. The increasing trends were further supported by results from subsequent extended Cox proportional hazard model. In addition, results from the modelling analysis showed that individuals in eastern, central and northeastern China had greater risks of hypertension occurrence in comparison with their counterparts in western China.

CONCLUSION

Hypertension incidence increased during the study period. The growth called for more attention on the health education and health promotion of individuals with great risks.

Socioeconomic differences in prevalence, awareness, control and self-management of hypertension among four minority ethnic groups, Na Xi, Li Shu, Dai and Jing Po, in rural southwest China

This study investigates socioeconomic differences in prevalence, awareness, control and self-management of hypertension in rural China. A cross-sectional survey was conducted among four ethnic minority groups in Yunnan Province: Na Xi, Li Shu, Dai and Jing Po. Approximately 5532 consenting individuals aged ⩾35 years (48.4% of whom were male) were selected to participate in the study using a stratified, multistage sampling technique. Information about participants' demographic characteristics and hypertension awareness, treatment, control and self-management practices was obtained using a standard questionnaire. The age-standardised prevalence of hypertension in the study population was 33.6%. In hypertensive subjects, the overall levels of awareness, treatment and control of hypertension were 42.1%, 28.5% and 6.7%, respectively. Approximately 58.7% of hypertensive patients regularly self-monitored blood pressure (BP), 64.7% adhered to their physician-prescribed anti-hypertensive drugs, and 88.0% took at least one measure to control BP. Hypertensive patients of Jing Po ethnicity had the lowest rates of awareness, treatment, control and self-management of hypertension among the four ethnic minority groups studied. Individuals with lower levels of education were more likely to be hypertensive. Further, individuals with lower levels of education had a lower probability of awareness of their hypertensive status and of treatment with antihypertensive medication. Access to medical services was positively associated with awareness of suffering from hypertension, being treated with antihypertensive medication, and compliance with antihypertensive drug treatment. This study suggests that effective strategies to enhance awareness, treatment and management of hypertension should focus on individuals with low levels of education and poor access to medical services.

The Association Between Alcohol Consumption and Left Ventricular Ejection Fraction: An Observational Study on a General Population

The results of previous studies on the relation between alcohol consumption and heart failure (HF) have been inconsistent. This study aimed to evaluate the association between alcohol consumption and left ventricular ejection fraction (LVEF) in a general population.A total of 10,824 adults were examined using a multistage cluster sampling method to select a representative sample of individuals who were at least 35-years old. The participants were asked to provide information about their alcohol consumption. Echocardiograms were obtained, and LVEF was calculated using modified Simpson's rule.Of the 10,824 participants included in the present study, 46.1% were males, and the mean participant age was 54 years; age ranged from 35 to 93 years. The overall prevalence of LVEF< 0.50 and LVEF < 0.40 in the studied population was 11.6% and 2.9%, respectively. The prevalence of LVEF < 0.5 and LVEF < 0.04 was higher in both the moderate and heavy drinker groups than in the nondrinker group (P <0.05). Multivariate logistic regression analyses corrected according to the different levels of alcohol consumption showed that moderate and heavy drinkers had an -1.3-fold and 1.2-fold higher risk of LVEF <0.5, respectively, than nondrinkers (OR: 1.381, 95% CI: 1.115-1.711, P = 0.003 for moderate drinkers; OR: 1.246, 95% CI: 1.064-1.460, P = 0.006 for heavy drinkers). Heavy drinkers had an ∼1.5-fold higher risk of decreased LVEF < 0.4 than nondrinkers (OR: 1.482, 95% CI: 1.117-1.965, P = 0.006). Moderate drinkers did not show a risk of decreased LVEF < 0.4 that was significantly higher than that of nondrinkers (OR: 1.183, 95% CI: 0.774-1.808, P = 0.437).According to these results, we concluded that increased alcohol consumption was associated with decreased LVEF compared with no alcohol consumption in this general population.

Health Disparities and Delayed Health care among Older Adults in California: A Perspective from Race, Ethnicity, and Immigration

OBJECTIVES

To examine racial/ethnic/immigration disparities in health and to investigate the relationships among race/ethnic/immigration status, delayed health care, and health of the elderly.

DESIGN AND SAMPLE

Responses from 13,508 people aged 65 and above were analyzed based on the California Health Interview Survey (CHIS) 2011-2012.

MEASURES

Key variables include race/ethnicity/immigration status, health outcome, and delayed health care. Age, gender, education, work status, and annual family income are used as covariates.

RESULTS

The findings indicate that Whites (regardless of country of birth) and U.S.-born Asians enjoy better health than Latinos, African-Americans, and Foreign-born Asians. Foreign-born Asians and foreign-born Latinos have the poorest self-reported health and mental health, respectively. Delayed use of health care is negatively associated with both self-reported health and mental health status.

CONCLUSIONS

Health disparities exist among older adult populations; the combined effects of minority and immigrant status can be approximated from the results in this study. Health care accessibility and the quality of care should be promoted in minority/immigrant populations. Public health nurses have a strong potential to aide in reducing health disparities among an aging American population that continues to exhibit increasing racial/ethnic diversity.