Health behaviour profiles in young Australian adults in relation to physical and mental health: The Raine Study

Author:

Thøgersen‐Ntoumani Cecilie12ORCID,Gucciardi Daniel F.3ORCID,McVeigh Joanne A.34ORCID,O'Sullivan Therese A.5ORCID,Dontje Manon67ORCID,Stamatakis Emmanuel8ORCID,Eastwood Peter R.9ORCID,Straker Leon3ORCID

Affiliation:

1. Danish Centre for Motivation and Behaviour Science, Department of Sports Science and Clinical Biomechanics University of Southern Denmark Odense Denmark

2. Curtin School of Population Health Curtin University Perth Western Australia Australia

3. Curtin School of Allied Health, Curtin University Perth Western Australia Australia

4. Movement Physiology Laboratory, School of Physiology University of Witwatersrand Johannesburg South Africa

5. School of Medical and Health Science Edith Cowan University Perth Western Australia Australia

6. Department of Rehabilitation, Physical Therapy Science and Sports UMC Utrecht Brain Centre Utrecht The Netherlands

7. Centre of Excellence for Rehabilitation Medicine, UMC Utrecht Brain Centre, University Medical Centre Utrecht, and de Hoogstraat Rehabilitation Utrecht The Netherlands

8. Faculty of Medicine and Health, School of Health Sciences, Charles Perkins Centre, University of Sydney Sydney New South Wales Australia

9. Health Futures Institute, Murdoch University Perth Western Australia Australia

Abstract

AbstractIssues AddressedWe aimed to identify latent health behaviour profiles of young adults and examine their associations with physical and mental health outcomes. We also characterised the profiles by socio‐demographic characteristics.MethodsData were collected between 2012 and 2014. Participants (N = 476) were young adults (M age [SD] = 22.1 [.57] years) from Generation 2 of the Raine Study longitudinal cohort. Health behaviours were measured via ActiGraph GT3X waist monitors (physical activity, sedentary behaviour) and questionnaires (diet quality, alcohol, smoking and sleep). Physical and mental health were measured using clinical health assessments, blood biomarkers, and questionnaires. Latent Profile Analysis using Mplus (8.2) was employed to identify profiles.ResultsFour latent profiles were identified: ‘heavy drinkers with moderately unhealthy eating habits’ (high takeaway foods; n = 135), ‘unhealthy food abstainers’ (low takeaway foods; n = 138), ‘moderately sedentary alcohol abstainers’ (n = 139) and ‘physically active drinkers with unhealthy eating habits’ (high takeaway foods and sugary drinks; n = 64). ‘Physically active drinkers with unhealthy eating habits’ had the poorest (physical and mental) health outcomes, yet the lowest insulin resistance. ‘Unhealthy food abstainers’ had the most favourable health outcomes (adiposity, health perceptions, blood pressure). Sex differed among the profiles.ConclusionsThe profiles identified among young adults are different to profiles with general adult populations. A novel finding was that ‘physically active drinkers with unhealthy eating habits’ had low insulin resistance. The findings also suggest that future interventions may need to be sex specific.So WhatOur findings suggest that health behaviour interventions for young adults should be targeted to distinct profile characteristics.

Publisher

Wiley

Subject

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

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