Health risk factors in Australian Stroke Survivors: A latent class analysis

Author:

Clancy Brigid12ORCID,Bonevski Billie3,English Coralie24,Callister Robin25,Baker Amanda L.12,Collins Clare246,Pollack Michael16,Magin Parker1,Turner Alyna17,Faulkner Jack2,Guillaumier Ashleigh12

Affiliation:

1. School of Medicine and Public Health, College of Health, Medicine and Wellbeing, The University of Newcastle Callaghan NSW Australia

2. Hunter Medical Research Institute, John Hunter Hospital New Lambton Heights NSW Australia

3. Flinders Health and Medical Research Institute, College of Medicine and Public Health, Flinders University Bedford Park SA Australia

4. School of Health Sciences, College of Health Medicine and Wellbeing, The University of Newcastle Callaghan NSW Australia

5. School of Biomedical Sciences and Pharmacy, College of Health, Medicine and Wellbeing, The University of Newcastle Callaghan NSW Australia

6. Hunter New England Local Health District, John Hunter Hospital New Lambton Heights NSW Australia

7. IMPACT Strategic Research Centre, School of Medicine, Deakin University Geelong Vic. Australia

Abstract

AbstractIssues AddressedTo (i) determine the prevalence of health risk factors (physical activity, diet, alcohol, smoking, blood pressure medication use and mental health) in community‐dwelling stroke survivors; and (ii) examine how these health risk factors cluster, and identify associations with physical functioning, independent living, or sociodemographic factors.MethodsA secondary analysis of data obtained during a national randomised controlled trial. Participants had experienced stroke and completed a baseline telephone survey on demographic and stroke characteristics, health risk factors, physical functioning and independence in activities of daily living. A latent class analysis was performed to determine health risk profiles. Univariate logistic regressions were performed to identify if participant characteristics were associated with resulting classes.ResultsData analysed from 399 participants. Two classes of health risk factors were identified: Low Mood, Food & Moves Risk (16% of participants) and Alcohol Use Risk (84% of participants). The Low Mood, Food & Moves Risk group had poorer diet quality, lower physical activity levels and higher levels of depression and anxiety. Lower levels of independence and physical functioning were predictor variables for this group. In contrast, the Alcohol Use Risk group had better physical activity and diet scores, significantly lower probability of depression and anxiety, but a higher probability of risky drinking.ConclusionsWe identified two distinct health risk factor groups in our population.So What?Future interventions may benefit from targeting the specific needs and requirements of people who have experienced stroke based on their distinct risk group. Alcohol consumption in poststroke populations requires further attention.

Funder

National Health and Medical Research Council

University of Newcastle Australia

Heart Foundation

Publisher

Wiley

Subject

Public Health, Environmental and Occupational Health,Community and Home Care

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