Sofia Cienfuegos1, Kelsey Gabel1, Faiza Kalam1, Mark Ezpeleta1, Shuhao Lin1, Krista A Varady2. 1. Department of Kinesiology and Nutrition, University of Illinois at Chicago, Chicago, IL, USA. 2. Department of Kinesiology and Nutrition, University of Illinois at Chicago, Chicago, IL, USA. Electronic address: varady@uic.edu.
Abstract
BACKGROUND: Time restricted feeding (TRF) involves confining the eating window to a specific number of hours, and fasting for the remaining hours of the day. OBJECTIVE: This study examined if changes in body weight and metabolic risk factors during TRF, differ between premenopausal and postmenopausal women. METHODS: This is a secondary analysis of an 8-week TRF study (4-6 h eating window, 18-20 h fasting window daily) conducted in adults with obesity. Male participants were excluded, and female subjects were classified in two groups based on menstrual status: premenopausal (n = 13), or postmenopausal (n = 19). Perimenopausal women were excluded from the original study. RESULTS: Body weight decreased by week 8 in premenopausal women (-3.3 ± 0.4%) and postmenopausal women (-3.3 ± 0.5%) (main effect of time, P < 0.001), with no difference between groups (no group × time interaction). Adherence was excellent in both groups, with premenopausal women adhering to their prescribed eating window on 6.2 ± 0.1 d/week, and postmenopausal women adhering to their window on 6.2 ± 0.2 d/week. Fat mass, lean mass, fasting insulin, insulin resistance, and 8-isoprostane (marker of oxidative stress) were reduced similarly in both groups (main effect of time, P < 0.05 for all comparisons). Visceral fat mass, relative skeletal muscle index (RSMI), blood pressure, LDL cholesterol, HDL cholesterol, triglycerides, fasting glucose, HbA1c, TNF-alpha and IL-6 remained unchanged in both groups by week 8. CONCLUSION: These findings suggest that the weight loss and metabolic benefits of TRF do not differ between premenopausal and postmenopausal women with obesity.
BACKGROUND: Time restricted feeding (TRF) involves confining the eating window to a specific number of hours, and fasting for the remaining hours of the day. OBJECTIVE: This study examined if changes in body weight and metabolic risk factors during TRF, differ between premenopausal and postmenopausal women. METHODS: This is a secondary analysis of an 8-week TRF study (4-6 h eating window, 18-20 h fasting window daily) conducted in adults with obesity. Male participants were excluded, and female subjects were classified in two groups based on menstrual status: premenopausal (n = 13), or postmenopausal (n = 19). Perimenopausal women were excluded from the original study. RESULTS: Body weight decreased by week 8 in premenopausal women (-3.3 ± 0.4%) and postmenopausal women (-3.3 ± 0.5%) (main effect of time, P < 0.001), with no difference between groups (no group × time interaction). Adherence was excellent in both groups, with premenopausal women adhering to their prescribed eating window on 6.2 ± 0.1 d/week, and postmenopausal women adhering to their window on 6.2 ± 0.2 d/week. Fat mass, lean mass, fasting insulin, insulin resistance, and 8-isoprostane (marker of oxidative stress) were reduced similarly in both groups (main effect of time, P < 0.05 for all comparisons). Visceral fat mass, relative skeletal muscle index (RSMI), blood pressure, LDL cholesterol, HDL cholesterol, triglycerides, fasting glucose, HbA1c, TNF-alpha and IL-6 remained unchanged in both groups by week 8. CONCLUSION: These findings suggest that the weight loss and metabolic benefits of TRF do not differ between premenopausal and postmenopausal women with obesity.
Authors: Siobán D Harlow; Margery Gass; Janet E Hall; Roger Lobo; Pauline Maki; Robert W Rebar; Sherry Sherman; Patrick M Sluss; Tobie J de Villiers Journal: J Clin Endocrinol Metab Date: 2012-02-16 Impact factor: 5.958
Authors: Grant M Tinsley; M Lane Moore; Austin J Graybeal; Antonio Paoli; Youngdeok Kim; Joaquin U Gonzales; John R Harry; Trisha A VanDusseldorp; Devin N Kennedy; Megan R Cruz Journal: Am J Clin Nutr Date: 2019-09-01 Impact factor: 7.045
Authors: C G Solomon; F B Hu; A Dunaif; J Rich-Edwards; W C Willett; D J Hunter; G A Colditz; F E Speizer; J E Manson Journal: JAMA Date: 2001-11-21 Impact factor: 56.272
Authors: Elizabeth F Sutton; Robbie Beyl; Kate S Early; William T Cefalu; Eric Ravussin; Courtney M Peterson Journal: Cell Metab Date: 2018-05-10 Impact factor: 27.287
Authors: Tatiana Moro; Grant Tinsley; Antonino Bianco; Giuseppe Marcolin; Quirico Francesco Pacelli; Giuseppe Battaglia; Antonio Palma; Paulo Gentil; Marco Neri; Antonio Paoli Journal: J Transl Med Date: 2016-10-13 Impact factor: 5.531
Authors: Max C Petersen; Molly R Gallop; Stephany Flores Ramos; Amir Zarrinpar; Josiane L Broussard; Maria Chondronikola; Amandine Chaix; Samuel Klein Journal: Physiol Rev Date: 2022-07-14 Impact factor: 46.500