Living arrangements, social networks and onset or progression of pain among older adults in Singapore

Geriatr Gerontol Int. 2016 Jun;16(6):693-700. doi: 10.1111/ggi.12539. Epub 2015 Jun 16.

Abstract

Aims: We aimed to evaluate the relationship between living arrangements, and strength of social network with onset and progression of chronic pain over 2 years in elderly Singaporeans.

Methods: We used data from the Social Isolation Health and Lifestyles Survey, a nationally representative survey of community-dwelling older Singaporeans aged >60 years (n = 4990) in 2009 and follow up in 2011. We used binomial logistic regression models to examine factors associated with self-reported onset and progression of chronic pain over time.

Results: A total of 3103 participants (53.8% women) completed both surveys (weighted response rate 63.7%). The mean age (SD) was 69.4 (0.5) years. The prevalence of mild and moderate-extreme chronic pain at baseline were 27.7% and 12.8%. A total of 20.1% and 3.9% of the participants reported having chronic pain onset and progression over 2 years, respectively. In the binomial regression models, lower education level, living alone and poorer self-rated health were predictors for onset of chronic pain in women. Weak social networks and disability were associated with progression of chronic pain in women.

Conclusions: Chronic pain is common in Singaporean older adults. Living alone and weak social network were sociopsychological factors associated with the onset or progression of chronic pain. Geriatr Gerontol Int 2015; ●●: ●●-●●.

Keywords: Singapore elderly; chronic pain; cohort study; pain progression; social isolation; social network.

MeSH terms

  • Activities of Daily Living
  • Age of Onset
  • Aged
  • Aged, 80 and over
  • Aging / physiology
  • Aging / psychology
  • Chronic Pain / diagnosis
  • Chronic Pain / epidemiology
  • Chronic Pain / psychology*
  • Confidence Intervals
  • Cross-Sectional Studies
  • Databases, Factual
  • Disease Progression
  • Female
  • Humans
  • Logistic Models
  • Male
  • Middle Aged
  • Odds Ratio
  • Pain Measurement
  • Quality of Life*
  • Residence Characteristics*
  • Risk Assessment
  • Severity of Illness Index
  • Sickness Impact Profile
  • Singapore
  • Social Isolation / psychology*
  • Socioeconomic Factors