AUTHOR=Myers Anna , Camidge Diana , Croden Fiona , Gibbons Catherine , Stubbs R. James , Blundell John , Finlayson Graham , Buckland Nicola
TITLE=Free-Living Energy Balance Behaviors Are Associated With Greater Weight Loss During a Weight Loss Program
JOURNAL=Frontiers in Nutrition
VOLUME=8
YEAR=2021
URL=https://www.frontiersin.org/journals/nutrition/articles/10.3389/fnut.2021.688295
DOI=10.3389/fnut.2021.688295
ISSN=2296-861X
ABSTRACT=Introduction: Free-living movement (physical activity [PA] and sedentary behavior [SB]) and eating behaviors (energy intake [EI] and food choice) affect energy balance and therefore have the potential to influence weight loss (WL). This study explored whether free-living movement and/or eating behaviors measured early (week 3) in a 14-week WL programme or their change during the intervention are associated with WL in women.
Methods: In the study, 80 women (M ± SD age: 42.0 ± 12.4 years) with overweight or obesity [body mass index (BMI): 34.08 ± 3.62 kg/m2] completed a 14 week WL program focused primarily on diet (commercial or self-led). Body mass (BM) was measured at baseline, and again during week 2 and 14 along with body composition. Free-living movement (SenseWear Armband) and eating behavior (weighed food diaries) were measured for 1 week during week 3 and 12. Hierarchical multiple regression analyses examined whether early and early-late change in free-living movement and eating behavior were associated with WL. The differences in behavior between clinically significant weight losers (CWL; ≥5% WL) and non-clinically significant weight losers (NWL; ≤ 3% WL) were compared.
Results: The energy density of food consumed [β = 0.45, p < 0.001] and vigorous PA [β = −0.30, p < 0.001] early in the intervention (regression model 1) and early-late change in light PA [β = −0.81 p < 0.001], moderate PA [β = −1.17 p < 0.001], vigorous PA [β = −0.49, p < 0.001], total energy expenditure (EE) [β = 1.84, p < 0.001], and energy density of food consumed [β = 0.27, p = 0.01] (regression model 2) significantly predicted percentage change in BM. Early in the intervention, CWL consumed less energy dense foods than NWL [p = 0.03]. CWL showed a small but significant increase in vigorous PA, whereas NWL showed a slight decrease in PA [p = 0.04].
Conclusion: Both early and early-late change in free-living movement and eating behaviors during a 14 week WL program are predictors of WL. These findings demonstrate that specific behaviors that contribute to greater EE (e.g., vigorous PA) and lower EI (e.g., less energy-dense foods) are related to greater WL outcomes. Interventions targeting these behaviors can be expected to increase the effectiveness of WL programs.