Abstract
This study is the first to use compositional data analysis to investigate movement behaviors of elderly women and their relationships with fat mass percentage (FM%). The focus of the study is on the associations of time reallocations from sedentary behavior (SB) to light physical activity (LIPA) or moderate-to-vigorous physical activity (MVPA) with adiposity. Over 400 older adult women were recruited as part of the cross-sectionally conducted measurements of older adults aged 60+ in Central European countries. An accelerometer was used to assess daily movement behaviors. Body mass index (BMI) and fat mass percentage (FM%) were assessed as adiposity indicators using InBody 720 MFBIA. Using LS-regression, we found positive relationships of BMI and FM% with SB (relative to remaining movement behaviors) (p < 0.001 for both), while their relationship with MVPA (relative to remaining movement behaviors) were negative (p < 0.001 for both). The estimated BMI and FM% associated with a 30-min SB-to-MVPA reallocation were reduced by 1.5 kg/m2 and 2.2 percentage points, respectively, whereas they were not reduced significantly with the reallocation of 30 min from SB to LIPA. The findings highlight that SB and MVPA, but not LIPA, are significantly associated with adiposity in elderly women. The reallocation of time from SB to MVPA could be advocated in weight loss interventions in older women.
Highlights
The world’s population is aging [1]
The findings highlight that sedentary behavior (SB) and moderate-to-vigorous physical activity (MVPA), but not light physical activity (LIPA), are significantly associated with adiposity in elderly women
The reallocation of time from SB to MVPA could be advocated in weight loss interventions in older women
Summary
The world’s population is aging [1]. the proportion of older adults who are overweight or obese is increasing [2]. Taking into account daily behaviors such as sleep, sedentary behavior (SB), and activities of different intensities as dependent and time-bounded gives us a new opportunity to examine the combined effect of such behaviors on different health indicators, including the obesity-related ones [6]. This approach acknowledging the compositional nature of time-use data has been recently advocated [7, Int. J. Public Health 2018, 15, 1444; doi:10.3390/ijerph15071444 www.mdpi.com/journal/ijerph
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