Patterns of Diet, Physical Activity, Sitting and Sleep Are Associated with Socio-Demographic, Behavioural, and Health-Risk Indicators in Adults.
Stina OftedalCorneel Vandelanotte PhDMitch J DuncanPublished in: International journal of environmental research and public health (2019)
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.
Keyphrases
- physical activity
- body mass index
- health risk
- public health
- polycystic ovary syndrome
- mental health
- healthcare
- weight loss
- weight gain
- heavy metals
- pregnancy outcomes
- drinking water
- sleep quality
- cross sectional
- cervical cancer screening
- metabolic syndrome
- cardiovascular disease
- randomized controlled trial
- type diabetes
- health information
- middle aged
- depressive symptoms
- risk assessment
- cancer therapy
- electronic health record
- high intensity
- data analysis
- insulin resistance
- drug delivery
- quality improvement
- deep learning
- health promotion
- social media