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. 2019 Jul 4;16(13):2375.
doi: 10.3390/ijerph16132375.

Patterns of Diet, Physical Activity, Sitting and Sleep Are Associated with Socio-Demographic, Behavioural, and Health-Risk Indicators in Adults

Stina Oftedal  1   2 , Corneel Vandelanotte  3 , Mitch J Duncan  4   5
Affiliations

Patterns of Diet, Physical Activity, Sitting and Sleep Are Associated with Socio-Demographic, Behavioural, and Health-Risk Indicators in Adults

Stina Oftedal et al. Int J Environ Res Public Health. .

Abstract

Our understanding of how multiple health-behaviours co-occur is in its infancy. This study aimed to: (1) identify patterns of physical activity, diet, sitting, and sleep; and (2) examine the association between sociodemographic and health-risk indicators. Pooled data from annual cross-sectional telephone surveys of Australian adults (2015-2017, n = 3374, 51.4% women) were used. Participants self-reported physical activity, diet, sitting-time, sleep/rest insufficiency, sociodemographic characteristics, smoking, alcohol use, height and weight to calculate body mass index (BMI), and mental distress frequency. Latent class analysis identified health-behaviour classes. Latent class regression determined the associations between health-behaviour patterns, sociodemographic, and health-risk indicators. Three latent classes were identified. Relative to a 'moderate lifestyle' pattern (men: 43.2%, women: 38.1%), a 'poor lifestyle' pattern (men: 19.9%, women: 30.5%) was associated with increased odds of a younger age, smoking, BMI ≥ 30.0 kg/m2, frequent mental distress (men and women), non-partnered status (men only), a lower Socioeconomic Index for Areas centile, primary/secondary education only, and BMI = 25.0-29.9 kg/m2 (women only). An 'active poor sleeper' pattern (men: 37.0%, women: 31.4%) was associated with increased odds of a younger age (men and women), working and frequent mental distress (women only), relative to a 'moderate lifestyle' pattern. Better understanding of how health-behaviour patterns influence future health status is needed. Targeted interventions jointly addressing these behaviours are a public health priority.

Keywords: body mass index; health behaviour; lifestyle; mental health.

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Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Figure 1
Figure 1
Item-response probability plot for men and women by health behavior class. The probability of each health-behaviour in each of the three behaviour classes ‘moderate lifestyle’, ‘active poor sleeper’, and ‘poor lifestyle’ (alternating bars for men and women).
See this image and copyright information in PMC

References

    1. Ding D., Rogers K., van der Ploeg H., Stamatakis E., Bauman A.E. Traditional and Emerging Lifestyle Risk Behaviors and All-Cause Mortality in Middle-Aged and Older Adults: Evidence from a Large Population-Based Australian Cohort. PLoS Med. 2015;12:1–21. doi: 10.1371/journal.pmed.1001917. - DOI - PMC - PubMed
    1. Chaput J.P. Sleep patterns, diet quality and energy balance. Physiol. Behav. 2014;134:86–91. doi: 10.1016/j.physbeh.2013.09.006. - DOI - PubMed
    1. Magee C.A., Reddy P., Robinson L., McGregor A. Sleep quality subtypes and obesity. Health Psychol. 2016;35:1289–1297. doi: 10.1037/hea0000370. - DOI - PubMed
    1. Uzhova I., Woolhead C., Timon C., O’Sullivan A., Brennan L., Peñalvo J., Gibney E. Generic Meal Patterns Identified by Latent Class Analysis: Insights from NANS (National Adult Nutrition Survey) Nutrients. 2018;10:310. doi: 10.3390/nu10030310. - DOI - PMC - PubMed
    1. O’Donovan G., Lee I., Hamer M., Stamatakis E. Association of “weekend warrior” and other leisure time physical activity patterns with risks for all-cause, cardiovascular disease, and cancer mortality. JAMA Intern. Med. 2017;177:335–342. doi: 10.1001/jamainternmed.2016.8014. - DOI - PubMed

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