Daily Life Satisfaction in Older Adults as a Function of (In)Activity

J Gerontol B Psychol Sci Soc Sci. 2017 Jul 1;72(4):593-602. doi: 10.1093/geronb/gbv086.

Abstract

Objectives: This 14-day daily diary study tested the between-person and within-person associations between sedentary behavior, physical activity, and life satisfaction in community-dwelling older adults.

Method: Older adults (n = 100) wore ActivPAL3 activity monitors for 14 days and, at the end of each day, answered questions regarding their health behaviors and life satisfaction.

Results: Separate multilevel models were tested for self-reported and objectively measured behavioral data. In the model using objectively measured behavioral data, life satisfaction was (a) negatively associated with sedentary behavior at the within-person level and unassociated with sedentary behavior at the between-person level and (b) unassociated with physical activity at either the between-person or within-person level. In the model using self-reported behavioral data, life satisfaction was (a) unassociated with sedentary behavior at either the between-person or within-person level and (2) positively associated with physical activity at the within-person, but not at the between-person, level.

Discussion: Results indicated that daily deviations in objectively measured sedentary behavior and self-reported physical activity have implications for older adults' well-being. Interventions designed to enhance well-being and quality of life in older adults should consider targeting daily changes in total sedentary behavior and daily changes in the volume or frequency of physical activity.

Keywords: Exercise; Intraindividual; Sedentary behavior; Sitting; Well-being.

MeSH terms

  • Aged
  • Behavioral Research
  • Exercise / psychology*
  • Female
  • Health Behavior / physiology*
  • Human Characteristics
  • Humans
  • Independent Living / psychology
  • Individuality*
  • Male
  • Middle Aged
  • Personal Satisfaction*
  • Quality of Life*
  • Sedentary Behavior*
  • Self Concept*
  • Statistics as Topic
  • United States