Obesity and cardiovascular risk factors among men and women aged 40 years and older in a rural area of Japan

J Physiol Anthropol. 2006 Nov;25(6):371-5. doi: 10.2114/jpa2.25.371.

Abstract

Obesity is one of the most common health problems, and is recognized worldwide as an "escalating epidemic." For the establishment of an obesity-prevention strategy in Japan, it is important to assess the association between obesity and cardiovascular risk factors. Therefore, we conducted anthropometric measures of obesity and investigated the association of obesity with cardiovascular risk factors such as hypertension, diabetes, and dyslipidemia among community-dwelling men (N=85) and women (N=173) aged 40 years and older. Height, weight, and waist circumference (WC) were measured, and body mass index (BMI) was calculated. Subjects with a BMI> or =25 kg/m(2) were considered obese (BMI obesity), while men with a WC> or =85 cm and women with a WC> or =90 cm were classified as obese (WC obesity). In the present study, we defined 'obesity' as a BMI> or =25 kg/m(2) or a WC> or =85 cm for men, and a BMI> or =25 kg/m(2) or a WC> or =90 cm for women. The results of an age- and sex-adjusted logistic regression analysis indicated that BMI obesity was associated with dyslipidemia (p=0.04), WC obesity was associated with dyslipidemia (p=0.07), and 'obesity' was associated with diabetes (p=0.06) and dyslipidemia (p=0.01). These results emphasize the importance of preventing obesity in Japan. Therefore, healthcare professionals should measure BMI and WC in order to enhance their assessment of cardiovascular risk.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Cardiovascular Diseases / epidemiology*
  • Cardiovascular Diseases / etiology
  • Cardiovascular Diseases / prevention & control
  • Diabetes Mellitus
  • Dyslipidemias
  • Female
  • Humans
  • Japan / epidemiology
  • Logistic Models
  • Male
  • Middle Aged
  • Obesity / epidemiology*
  • Obesity / etiology
  • Obesity / prevention & control
  • Prevalence
  • Risk Factors
  • Rural Population
  • Sex Factors
  • Surveys and Questionnaires