The Clustering of Health Behaviours in Older Australians and its Association with Physical and Psychological Status, and Sociodemographic Indicators

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Abstract

Purpose: The aims of this study were to delineate health lifestyles of a cohort of older adults and to examine the association of these lifestyles with biological and psychological states and socio-economic indices.

Methods: Cluster analysis was applied to data derived from the self-reported 45 and Up cohort study (N = 96,276) of Australians over 45 years, regarding exercise, smoking, alcohol consumption, diet and cancer screening behaviours.

Results: Six lifestyle clusters emerged delineated by smoking, screening and physical activity levels. Individuals within health-risk dominant clusters were more likely to be male, living alone, low-income earners, living in a deprived neighbourhood, psychologically distressed and experiencing low quality of life.

Conclusions: Health lifestyle cluster membership can be used to identify older adults at greatest risk for physical and psychological health morbidity.

Background: Increasing life expectancies, burgeoning healthcare costs and an emphasis on the management of multiple health-risk behaviours point to a need to delineate health lifestyles in older adults.

LanguageEnglish
Pages205-214
Number of pages10
JournalAnnals of Behavioral Medicine
Volume48
Issue number2
DOIs
Publication statusPublished - 2014

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Health Behavior
Cluster Analysis
Life Style
Psychology
Health
Smoking
Risk-Taking
Life Expectancy
Early Detection of Cancer
Alcohol Drinking
Health Care Costs
Cohort Studies
Economics
Quality of Life
Diet
Morbidity

Cite this

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title = "The Clustering of Health Behaviours in Older Australians and its Association with Physical and Psychological Status, and Sociodemographic Indicators",
abstract = "Purpose: The aims of this study were to delineate health lifestyles of a cohort of older adults and to examine the association of these lifestyles with biological and psychological states and socio-economic indices.Methods: Cluster analysis was applied to data derived from the self-reported 45 and Up cohort study (N = 96,276) of Australians over 45 years, regarding exercise, smoking, alcohol consumption, diet and cancer screening behaviours.Results: Six lifestyle clusters emerged delineated by smoking, screening and physical activity levels. Individuals within health-risk dominant clusters were more likely to be male, living alone, low-income earners, living in a deprived neighbourhood, psychologically distressed and experiencing low quality of life.Conclusions: Health lifestyle cluster membership can be used to identify older adults at greatest risk for physical and psychological health morbidity.Background: Increasing life expectancies, burgeoning healthcare costs and an emphasis on the management of multiple health-risk behaviours point to a need to delineate health lifestyles in older adults.",
author = "Barbara Griffin and Sherman, {Kerry A.} and Mike Jones and Piers Bayl-Smith",
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AU - Sherman, Kerry A.

AU - Jones, Mike

AU - Bayl-Smith, Piers

PY - 2014

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