Prevalence and risk factors associated with prehypertension in Shunde District, southern China.
OBJECTIVE
To explore the prevalence and combined cardiovascular risk factors of prehypertension in southern China.


METHODS
A retrospective study; the logistic regression model was used to find the risk factors of prehypertension.


METHODS
The study was conducted in Shunde District, southern China, using the community-based health check-up information.


METHODS
Participants aged ≥35 years with complete health check-up information data between January 2011 and December 2013 were enrolled and divided into hypertension, prehypertension and optimal blood pressure (BP) groups. Prehypertension was further divided into low-range (BP 120-129/80-84 mm Hg) and high-range (BP 130-139/85-89 mm Hg) subgroups.


METHODS
The prevalence of prehypertension and the combined cardiovascular risk factors within the prehypertensive subgroups.


RESULTS
Of the 5362 initially reviewed cases (aged ≥35 years), 651 were excluded because of missing data. The proportions of optimal BP, prehypertension and hypertension were 39.1%, 38.6% and 22.3%, respectively. The average age, proportion of male sex, overweight, impaired fasting glucose (IFG), dyslipidaemia and hyperuricaemia were significantly higher in the prehypertension group than in the optimal BP group (all p <0.05). Compared with low-range prehypertension, the proportions of overweight, dyslipidaemia and IFG were higher in the high-range prehypertension group (all p<0.05). Multivariate logistic regression analysis showed that overweight (OR=2.84, 95% CI 1.55 to 5.20), male sex (OR=2.19, 95% CI 1.39 to 3.45), age (per 10 years, OR=1.21, 95% CI 1.02 to 1.44, p=0.03) and hyperuricaemia (OR=1.70, 95% CI 1.14 to 2.54) were independent risk factors of prehypertension.


CONCLUSIONS
Prehypertension is highly prevalent in southern China. Prehypertensive individuals presented with many other cardiovascular risk factors. There was heterogeneity of combined risk factors within the prehypertensive subgroups.
Department of Cardiology, Nanfang Hospital, Southern Medical University, Guangzhou, People's Republic of China Department of Cardiology, The First People's Hospital of Shunde, Foshan, People's Republic of China.
Yuli
Y
Huang
Department of Health Management Center, The First People's Hospital of Shunde, Foshan, People's Republic of China.
Wenke
W
Qiu
Department of Cardiology, Nanfang Hospital, Southern Medical University, Guangzhou, People's Republic of China.
Changhua
C
Liu
Department of Cardiology, Nanfang Hospital, Southern Medical University, Guangzhou, People's Republic of China.
Dingji
D
Zhu
Department of Cardiology, Nanfang Hospital, Southern Medical University, Guangzhou, People's Republic of China.
Jinghai
J
Hua
Department of Cardiology, The First People's Hospital of Shunde, Foshan, People's Republic of China.
Xiaoyan
X
Cai
Department of Cardiology, The First People's Hospital of Shunde, Foshan, People's Republic of China.
Yanxian
Y
Wu
Department of Cardiology, The First People's Hospital of Shunde, Foshan, People's Republic of China.
Yunzhao
Y
Hu
Department of Cardiology, Nanfang Hospital, Southern Medical University, Guangzhou, People's Republic of China.
Dingli
D
Xu
D000328:Adult; D000367:Age Factors; D000368:Aged; D001786:Blood Glucose; D001794:Blood Pressure; D002681:China / Q000453:epidemiology; D015897:Comorbidity; D050171:Dyslipidemias / Q000453:epidemiology; D005260:Female; D006801:Humans; D033461:Hyperuricemia / Q000453:epidemiology; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D050177:Overweight / Q000453:epidemiology; D058246:Prehypertension / Q000453:epidemiology*; D015995:Prevalence; D012189:Retrospective Studies; D018570:Risk Assessment; D012307:Risk Factors; D012737:Sex Factors
D001786:Blood Glucose
EPIDEMIOLOGY