Cognitive function and its influencing factors in empty-nest elderly and non-empty-nest elderly adults in China

Aging (Albany NY). 2021 Jan 20;13(3):4552-4563. doi: 10.18632/aging.202416. Epub 2021 Jan 20.

Abstract

Introduction: We investigated cognitive function and its influencing factors in empty-nest and non-empty-nest elderly adults in China.

Results: Cognitive function was better in empty-nest elderly living as a couple but worse in those living alone than in non-empty-nest elderly. Older age, rural habitation, poorer instrumental activities of daily living, and depression were risk factors for cognitive decline, while higher education was protective. Women had poorer cognitive function than men among non-empty-nest elderly and empty-nest elderly living as a couple. Among non-empty-nest elderly, those who were divorced/widowed/never married, underweight or economically active exhibited poorer cognitive function. Having two or more chronic diseases and being overweight were associated with better cognitive function among empty-nest elderly living as a couple.

Conclusion: These findings suggest that cognitive function is poorest in empty-nest elderly living alone and best in empty-nest elderly living as a couple. The factors influencing cognitive function differed according to empty-nest status, which should be considered in interventions.

Methods: 5549 elderly from the 2015 China Health and Retirement Longitudinal Study were included in this study. Cognitive function was evaluated using the Telephone Interview for Cognitive Status, episodic memory tests and visuospatial ability assessments. Factors influencing cognitive function were determined via multiple linear regression analysis.

Keywords: cognitive function; empty-nest elderly; influencing factors; non-empty-nest elderly.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Activities of Daily Living
  • Age Factors
  • Aged
  • China / epidemiology
  • Cognition*
  • Cognitive Dysfunction / epidemiology*
  • Depression / epidemiology*
  • Educational Status
  • Family Characteristics*
  • Female
  • Functional Status
  • Humans
  • Male
  • Marital Status / statistics & numerical data
  • Middle Aged
  • Neuropsychological Tests
  • Overweight / epidemiology*
  • Protective Factors
  • Residence Characteristics
  • Risk Factors
  • Rural Population / statistics & numerical data
  • Sex Factors
  • Thinness / epidemiology*