Journal List > Korean Circ J > v.38(1) > 1016368

Kim, Hong, Choi, Choi, Jeong, Lee, and Kim: Rates and Related Factors of Progression to Hypertension among Prehypertensive Local Residents Aged 45 or Over in Chuncheon City: Hallym Aging Study from a Community-Based Cross-Sectional Study

Abstract

Background and Objectives

Prehypertension (preHT) is considered to a precursor of hypertension and it is a predictor of excessive cardiovascular risk. We investigated the rates and determinants of progression to hypertension (HT) among local residents aged 45 or over, and we compared the differences in demographic factors, anthropometric measurements, life styles and metabolic profiles between the progression individuals and non-progression individuals.

Subjects and Methods

Data from the Hallym Aging Study, which was conducted 3 years apart were used to form the sample of 489 adults. PreHT was defined by the Joint National Committee (JNC-7) criteria. We conducted interviews to determine the life style (alcohol, smoking and exercise) and the measured obesity indices. The metabolic profiles were fasting blood sugar (FBS), cholesterol, triglyceride and high density lipoprotein (HDL)-Cholesterol. The factors related to progression to HT were examined by using multiple logistic regression analysis.

Results

The progression rate to HT was 56.4% (56.9% in men, 55.9% in women). The presence of metabolic syndrome was significantly greater and the body mass index (BMI) and systolic blood pressure were significantly higher in the progression group compared with the non-progression group (p=0.0475, p=0.0099, p=0.0082, respectively). Important determinants of progression to HT are a BMI≥25 kg/m2 [odds ratio (OR): 2.26, 95% confidence interval (CI): 1.02-5.22] and a diastolic blood pressure of 85-89 mmHg (OR: 6.11, CI: 1.55-24.13). Changes of FBS (ΔFBS) and pulse pressure (ΔPP) according to a time interval of 3 years are the significant related factors (OR: 3.40, CI: 1.04-11.13 and OR: 9.40, CI: 2.19-40.12, respectively).

Conclusion

PreHT frequently progresses to HT over a period of 3 years. A higher BMI and diastolic blood pressure at the index survey are significantly related to progression. ΔFBS and ΔPP are also important determinants. Therefore, early recognition of preHT and intensive life style modification are needed to prevent progression to HT.

Figures and Tables

Fig. 1
Flow chart of the study population for Hallym Aging Study.
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Table 1
Comparison of demographic data and lifestyle habits according to blood pressure at baseline survey in 2004
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NT: normotension, PreHT: prehypertension, HT: hypertension

Table 2
Comparison of metabolic profiles according to blood pressure at baseline survey in 2004
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NT: normotension, PreHT: prehypertension, HT: hypertension, MetSynd: metabolic syndrome, BMI: body mass index, HDL-C: high density lipoprotein-cholesterol, FBS: fasting blood sugar, TG: triglyceride, hs-CRP: high sensitivity-C reactive protein, SBP: systolic blood pressure, DBP: diastolic blood pressure

Table 3
Progression rate to hypertension
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BP: blood pressure, NT: normotension, PreHT: prehypertension, HT: hypertension

Table 4
General characteristics between progression and non-progression group
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*Previous history. MetSynd: metabolic syndrome, BMI: body mass index, HDL-C: high density lipoprotein-cholesterol, FBS: fasting blood sugar, TG: triglyceride, hs-CRP: high sensitivity-C reactive protein, SBP: systolic blood pressure, DBP: diastolic blood pressure

Table 5
Determinants of progression to hypertension from univariate and multivariate logistic regression model
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Univariate analysis: age and sex were adjusted. Multivariate analysis: age, sex, BMI, cholesterol, HDL-C, FBS, TG, hs-CRP, SBP, DBP and pulse pressure were adjusted. BMI: body mass index, HDL-C: high density lipoprotein-cholesterol, FBS: fasting blood sugar, TG: triglyceride, hs-CRP: high sensitivity-C reactive protein, SBP: systolic blood pressure, DBP: diastolic blood pressure, OR: odds ratio, CI: confidence interval

Table 6
Determinants of progression to hypertension from univariate and multivariate logistic regression model
kcj-38-43-i006

Univariate analysis: age and sex were adjusted. Multivariate analysis: age, sex, BMI, cholesterol, HDL-C, FBS, TG, hs-CRP, SBP, DBP and pulse pressure were adjusted. FBS: fasting blood sugar, PP: Pulse pressure, BMI: body mass index, HDL-C: high density lipoprotein-cholesterol, TG: triglyceride, hs-CRP: high sensitivity-C reactive protein, SBP: systolic blood pressure, DBP: diastolic blood pressure, OR: odds ratio, CI: confidence interval

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