Socioeconomic correlates of quality of life for non-Māori in advanced age: Te Puāwaitanga o Nga Tapuwae Kia ora Tonu. Life and Living in Advanced Age: a Cohort Study in New Zealand (LiLACS NZ)

N Z Med J. 2016 Sep 9;129(1441):18-32.

Abstract

Aim: To establish socioeconomic and cultural profiles and correlates of quality of life (QoL) in non-Māori of advanced age.

Method: A cross sectional analysis of the baseline data of a cohort study of 516 non-Māori aged 85 years living in the Bay of Plenty and Rotorua areas of New Zealand. Socioeconomic and cultural characteristics were established by face-to-face interviews in 2010. Health-related QoL (HRQoL) was assessed with the SF-12.

Results: Of the 516 non-Māori participants enrolled in the study, 89% identified as New Zealand European, 10% other European, 1% were of Pacific, Asian or Middle Eastern ethnicity; 20% were born overseas and half of these identified as 'New Zealand European.' More men were married (59%) and more women lived alone (63%). While 89% owned their own home, 30% received only the New Zealand Superannuation as income and 22% reported that they had 'just enough to get along on'. More than 85% reported that they had sufficient practical and emotional support; 11% and 6% reported unmet need for practical and emotional support respectively. Multivariate analyses showed that those with unmet needs for practical and emotional support had lower mental HR QoL (p<0.005). Reporting that family were important to wellbeing was associated with higher mental HR QoL (p=0.038). Those that did not need practical help (p=0.047) and those that reported feeling comfortable with their money situation (0.0191) had higher physical HRQoL. High functional status was strongly associated with both high mental and high physical HR QoL (p<0.001).

Conclusion: Among our sample of non-Māori people of advanced age, those with unmet support needs reported low HRQoL. Functional status was most strongly associated with mental and physical HRQoL.

MeSH terms

  • Aged, 80 and over
  • Aging*
  • Cohort Studies
  • Cross-Sectional Studies
  • Cultural Characteristics*
  • Female
  • Humans
  • Male
  • Multivariate Analysis
  • New Zealand
  • Quality of Life*
  • Regression Analysis
  • Socioeconomic Factors*
  • Surveys and Questionnaires
  • White People / statistics & numerical data*