Association of cardiovascular risk factor clustering and prehypertension among adults：Results from the China health and retirement longitudinal study baseline

ABSTRACT

Background: Prehypertension is common in China, but its causes and associated factors have not been well studied. This study aimed to examine the age and gender-specific associations between CVD risk factor clustering and prehypertension among adults in China.

Methods: This cross-sectional study used data from participants (n = 8735) aged over 45 in the China Health and Retirement Longitudinal Study (CHARLS) Baseline conducted from 2011–2012. The participants’ data were collected using standard questionnaires, anthropometric, and biochemical tests. Logistic regression analyses were used to examine the associations between cardiovascular risk factors, their clustering and prehypertension.

Results: Overall, 21.1%, 39.5%, 27.6% and 11.8% participants had 0, 1, 2, ≥ 3 CVD risk factors in prehypertension group, respectively. Diabetes and overweight/obesity were significantly associated with prehypertension (OR, 1.24; 95% confidence interval [CI], 1.06–1.44; OR, 1.55; 95% CI, 1.38–1.75) in the overall population, and diabetes was associated with prehypertension only in men (OR, 1.26; 95% CI, 1.00–1.58) and older adults (OR, 1.32; 95% CI, 1.03–1.69). Moreover, participants with 1, 2 and ≥3 risk factors had increased odds of having prehypertension (OR, 1.29; 95% CI, 1.12–1.49; OR, 1.59; 95% CI, 1.31–1.78; OR, 2.05; 95% CI, 1.66–2.53, respectively) and existed dose-response relationship, regardless of age and gender.

Conclusions: This study indicated that CVD risk factor clustering was significantly associated with prehypertension and hypertension. These results provide valuable information for health professionals to better understand the impact of CVD risk factor clustering on prehypertension and hypertension.

KEYWORDS:

• Prehypertension
• hypertension
• risk factors
• clustering

Disclosure of interest

The authors report no conflict of interest.

Additional information

Funding

This work was supported by the Science and Technology Department of Jilin Province under Grant (20190303170SF); Education Department of Jilin Province under Grant (JJKH20190094KJ).