Relationship between the Well-Being of Elderly Men and Cohabiting with Women Who Have Had Experience as a Health Promotion Volunteer in Japan: A Cross-Sectional Study

Int J Environ Res Public Health. 2018 Dec 27;16(1):65. doi: 10.3390/ijerph16010065.

Abstract

In Japan, there are traditionally many health promotion volunteer activities. However, the effects these activities have on the volunteers' families are not clear. This study examined whether the well-being of Japanese elderly men was affected by cohabiting with women who have had experience as a health promotion volunteer. The study area was Suzaka City, where more than 7500 women have been elected and served as health promotion volunteers for over 60 years. A cross-sectional survey targeting all residents aged 65 years or over was conducted in 2014 using a self-administered questionnaire and 10,758 (77.7%) residents participated. Of those, married men who lived with married women were analyzed (n = 2370). Functional capacity and depressive symptoms were analyzed as outcomes respectively. Of the 2370 men, 1434 (60.5%) lived with women who had experience as a health promotion volunteer in the past. Modified Poisson regression analysis adjusting for covariates showed that living with women who had this experience was inversely associated with depressive symptoms (adjusted Prevalence Ratio; 0.84, 95% Confidence Interval; 0.73⁻0.97), but not with low functional capacity. These results suggest that living with women who had the experience as health promotion volunteer might affect depressive symptoms of elderly men.

Keywords: depressive symptoms; family; functional capacity; health promotion volunteer; well-being.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Aged, 80 and over
  • Cross-Sectional Studies
  • Depression / epidemiology
  • Family Characteristics
  • Female
  • Health Promotion / statistics & numerical data*
  • Health Status*
  • Humans
  • Japan / epidemiology
  • Male
  • Marriage / statistics & numerical data*
  • Prevalence
  • Surveys and Questionnaires
  • Volunteers / statistics & numerical data*