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01.12.2015 | Research article | Ausgabe 1/2016 Open Access

BMC Public Health 1/2016

Associations of mutually exclusive categories of physical activity and sedentary time with markers of cardiometabolic health in English adults: a cross-sectional analysis of the Health Survey for England

Zeitschrift:
BMC Public Health > Ausgabe 1/2016
Autoren:
Kishan Bakrania, Charlotte L. Edwardson, Danielle H. Bodicoat, Dale W. Esliger, Jason M. R. Gill, Aadil Kazi, Latha Velayudhan, Alan J. Sinclair, Naveed Sattar, Stuart J. H. Biddle, Kamlesh Khunti, Melanie Davies, Thomas Yates
Wichtige Hinweise

Electronic supplementary material

The online version of this article (doi:10.​1186/​s12889-016-2694-9) contains supplementary material, which is available to authorized users.

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

KB, CLE and TY had the original idea for the analysis, which was further developed and refined by all authors. CLE processed the HSE data. KB carried out the statistical analysis and wrote the first draft of the manuscript. KB, CLE, DHB, DWE, JMRG, AK, LV, AJS, NS, SJHB, KK, MD and TY edited/reviewed the manuscript and approved the final version of the manuscript.

Abstract

Background

Both physical activity and sedentary behaviour have been individually associated with health, however, the extent to which the combination of these behaviours influence health is less well-known. The aim of this study was to examine the associations of four mutually exclusive categories of objectively measured physical activity and sedentary time on markers of cardiometabolic health in a nationally representative sample of English adults.

Methods

Using the 2008 Health Survey for England dataset, 2131 participants aged ≥18 years, who provided valid accelerometry data, were included for analysis and grouped into one of four behavioural categories: (1) ‘Busy Bees’: physically active & low sedentary, (2) ‘Sedentary Exercisers’: physically active & high sedentary, (3) ‘Light Movers’: physically inactive & low sedentary, and (4) ‘Couch Potatoes’: physically inactive & high sedentary. ‘Physically active’ was defined as accumulating at least 150 min of moderate-to-vigorous physical activity (MVPA) per week. ‘Low sedentary’ was defined as residing in the lowest quartile of the ratio between the average sedentary time and the average light-intensity physical activity time. Weighted multiple linear regression models, adjusting for measured confounders, investigated the differences in markers of health across the derived behavioural categories. The associations between continuous measures of physical activity and sedentary levels with markers of health were also explored, as well as a number of sensitivity analyses.

Results

In comparison to ‘Couch Potatoes’, ‘Busy Bees’ [body mass index: −1.67 kg/m2 (p < 0.001); waist circumference: −1.17 cm (p = 0.007); glycated haemoglobin: −0.12 % (p = 0.003); HDL-cholesterol: 0.09 mmol/L (p = 0.001)], ‘Sedentary Exercisers’ [body mass index: −1.64 kg/m2 (p < 0.001); glycated haemoglobin: −0.11 % (p = 0.009); HDL-cholesterol: 0.07 mmol/L (p < 0.001)] and ‘Light Movers’ [HDL-cholesterol: 0.11 mmol/L (p = 0.004)] had more favourable health markers. The continuous analyses showed consistency with the categorical analyses and the sensitivity analyses indicated robustness and stability.

Conclusions

In this national sample of English adults, being physically active was associated with a better health profile, even in those with concomitant high sedentary time. Low sedentary time independent of physical activity had a positive association with HDL-cholesterol.
Zusatzmaterial
Additional file 1: Figure S1. Categorical associations with markers of cardiometabolic health (beta coefficients (99 % CIs)). Table S1 - Sensitivity analyses showing the weighted mutually exclusive behavioural category prevalence [n; %]. Table S2 - Sensitivity analyses showing the categorical associations with markers of cardiometabolic health (beta coefficients (99 % CIs)). (DOCX 47 kb)
12889_2016_2694_MOESM1_ESM.docx
Literatur
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