Light-intensity physical activity derived from count or activity types is differently associated with adiposity markers

Research output: Contribution to journalJournal articleResearchpeer-review

  • Charlotte Lund Rasmussen
  • Melker Staffan Johansson
  • Patrick Crowley
  • Peter Fjeldstad Hendriksen
  • Jørgen Skotte
  • Nidhi Gupta
  • Andreas Holtermann

Aim: The aim of this study was to compare the association between count- and activity type–based definitions of light-intensity physical activity (LIPA) and adiposity markers. Methods: A total of 516 Danish workers participated in 1-4 days of hip- and thigh-based accelerometer measurements. Three definitions of average daily time spent in LIPA were derived: LIPA (1) time spent between 100 and 2029 CPM, LIPA (2) time spent moving and slow walking, and LIPA (3) time spent moving, walking slow, and standing. Adiposity markers were body mass index (BMI), body fat percentage, and waist circumference. The cross-sectional association between the three LIPA definitions and adiposity markers was analyzed and interpreted using compositional regression models followed by reallocation of time between LIPA, moderate-to-vigorous physical activity (MVPA), and sedentary behavior (SB), respectively. Results: The geometric means of daily time (min/day) spent in LIPA 1, LIPA 2, and LIPA 3 were 326, 102, and 274, respectively. We found the direction and strength of the association between the relative importance of daily time spent in LIPA and the adiposity markers to depend on the LIPA definition. For example, reallocating 30 minutes from MVPA to LIPA 1, LIPA 2 and LIPA 3 were associated with a 2.97 (95% CI: 0.68; 5.27), −0.71 (95% CI: −1.43; 0.02), and −0.45 (95% CI: −1.01; 0.11) difference in BMI, respectively. Conclusion: Our findings highlight the need for caution when comparing results from studies using different definitions of LIPA.

Original languageEnglish
JournalScandinavian Journal of Medicine and Science in Sports
Publication statusE-pub ahead of print - 2020

    Research areas

  • accelerometer, methodology, physical activity, technical measurements

ID: 244689935