[The relationship between body mass index, hypertension and all-cause mortality in the populaton over 55 year old in Beijing]

Zhonghua Liu Xing Bing Xue Za Zhi. 2002 Feb;23(1):28-31.
[Article in Chinese]

Abstract

Objective: To study the relationship between body mass index (BMI), hypertension and all-cause mortality in the elderly population in Beijing.

Methods: In 1992, a cohort of 3 257 people above 55 years old was selected from 3 different areas of Beijing, i.e. urban and suburbs (both plain and mountain areas). Information on physical condition, history of chronic diseases, self-perceived health, as well as smoking and drinking status was collected. Blood pressure, body height and weight were measured among 2 086 of 3 257 subjects.

Results: BMI was decreasing with age, while the prevalence of hypertension increased with age. Meanwhile the prevalence of hypertension increased with age as well as with BMI. There was a reverse relationship between BMI and all-cause mortality, i.e. the risk of death was 39.0% lower for those with BMI = 20.0 - 24.9 kg/m(2) (Hazard ratio: 0.61, 95% Confidence interval: 0.49 - 0.75) and 62% lower for those with BMI >/= 25.0 kg/m(2) (Hazard ratio: 0.38%, 95% Confidence interval: 0.29 - 0.49) than those with BMI < 20.0 kg/m(2). After controlling for age, gender, residential place, hypertension as well as self-perceive health status and cognition function, low BMI remained a significant and independent predictor to death.

Conclusion: The distribution of BMI was different in elderly from the youth. The findings suggested that it was important to control the body weight among the elderly hypertensives.

Publication types

  • English Abstract

MeSH terms

  • Age Factors
  • Aged
  • Aged, 80 and over
  • Body Height
  • Body Mass Index
  • Body Weight
  • Cause of Death
  • China / epidemiology
  • Female
  • Humans
  • Hypertension / epidemiology*
  • Hypertension / physiopathology
  • Male
  • Middle Aged
  • Risk Factors
  • Rural Health / statistics & numerical data
  • Sex Factors
  • Urban Health / statistics & numerical data