Are temporal patterns of sitting associated with obesity among blue-collar workers? A cross sectional study using accelerometers

Feb 14, 2016BMC public health

Does the timing of sitting relate to obesity in blue-collar workers?

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Abstract

Brief bouts of sitting are negatively associated with obesity indicators among blue-collar workers.

Brief bouts of sitting (≤5 minutes) correlate with lower body mass index (BMI), waist circumference, and fat percentage for both the whole day and during work hours.
Long bouts of sitting (>30 minutes) are linked to higher waist circumference and BMI for the whole day and during work hours.
No significant associations were found between sitting patterns and obesity indicators during leisure time.
The findings suggest that the timing and duration of sitting may impact obesity outcomes, independent of physical activity levels.

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BACKGROUND: Little is known about associations of temporal patterns of sitting (i.e., distribution of sitting across time) with obesity. We aimed investigating the association between temporal patterns of sitting (long, moderate and brief uninterrupted bouts) and obesity indicators (body mass index (BMI), waist circumference and fat percentage), independently from moderate-vigorous physical activity (MVPA) and total sitting time among blue-collar workers.

METHODS: Workers (n = 205) wore Actigraph GT3X+ accelerometers on the thigh and trunk for 1-4 working days. Using the validated Acti4 software, the total sitting time and time spent sitting in brief (≤5 mins), moderate (>5 and ≤30 mins), and long (>30mins) bouts on working days were determined for the whole day, and for leisure and work separately. BMI (kg/m(2)), waist circumference (cm) and fat percentage were objectively measured.

RESULTS: Results of linear regression analysis adjusted for multiple confounders indicated that brief bouts of sitting was negatively associated with obesity for the whole day (BMI, P < 0.01; fat percentage, P < 0.01; waist circumference, P < 0.01) and work (BMI, P < 0.01; fat percentage, P < 0.01; waist circumference, P < 0.01), but not for leisure. Sitting time in long bouts was positively associated with obesity indicators for the whole day (waist circumference, P = 0.05) and work (waist circumference, P = 0.01; BMI, P = 0.04), but not leisure.

CONCLUSIONS: For the whole day as well as for work, brief bouts and long bouts of sitting showed opposite associations with obesity even after adjusting for MVPA and total sitting time, while sitting during leisure did not show these associations. Thus, the temporal distribution of sitting seems to influence the relationship between sitting and obesity.

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Are temporal patterns of sitting associated with obesity among blue-collar workers? A cross sectional study using accelerometers

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