[Study on the prevalence and risk factors of depressive symptoms among 'empty-nest' and 'non-empty-nest' elderly in four provinces and cities in China]

Zhonghua Liu Xing Bing Xue Za Zhi. 2012 May;33(5):478-82.
[Article in Chinese]

Abstract

Objective: To investigate the prevalence and determinants of depressive symptoms among 'empty-nest' and 'non-empty-nest' elderly in four cities/provinces.

Methods: 4265 elderly aged 60 and over, were recruited with cluster sampling method in Shanghai, Heilongjiang, Guangdong and Shanxi province and interviewed, using the Geriatric Mental State Schedule and self-developed related questionnaire.

Results: (1) The prevalence of depressive symptoms for 'empty-nest' elderly was (8.18%), significantly higher than that for 'non-empty-nest' elderly (P=0.019); (2) the 'empty-nest' elderly had a significantly higher proportion of the following factors: being male, married, with higher income (≥15,000 Yuan/year), living in city, with high education background, under employment etc. than the 'non-empty-nest' elderly (P<0.0001); (3) the 'empty-nest' elderly had significantly higher proportions on good self-rated health status and life (P=0.0001, P<0.0001) as well as heavier health problems and economic difficulties (P=0.001, P=0.002); (4) there were significantly negative associations between depressive symptoms and the following 10 factors: being female, single, having bad self-rated health and life status, having somatic disease≥3, with big health problems in the last two years and loss of dearest persons, community engagement and involvement of religious activities.

Conclusion: The 'empty-nest' elderly showed higher prevalence of having depressive symptoms than the 'non-empty-nest' elderly. The 'empty-nest' elderly had characteristics as being single, female, having adverse event etc. and should be under greater attention for care.

Publication types

  • English Abstract

MeSH terms

  • Aged
  • Aged, 80 and over
  • China / epidemiology
  • Depression / epidemiology*
  • Family Characteristics*
  • Female
  • Humans
  • Male
  • Middle Aged
  • Prevalence
  • Risk Factors