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Seasonal Changes in Midlife Women’S Percentage Body Fat: A 1-Year Cohort Study

OBJECTIVE: The purpose of this longitudinal, observational study was to examine whether age and seasonal changes in sedentary activity (sedAct), moderate-to-vigorous physical activity (MVPA), and energy intake (EI) predict changes in body composition among midlife women. We hypothesized that reducti...

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Autores principales: Nelson, A.M., Casperson, S.L., Jahns, L., Palmer, D.G., Roemmich, J.N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SERDI Publisher 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10002894/
https://www.ncbi.nlm.nih.gov/pubmed/36923232
http://dx.doi.org/10.14283/jarlife.2022.4
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author Nelson, A.M.
Casperson, S.L.
Jahns, L.
Palmer, D.G.
Roemmich, J.N.
author_facet Nelson, A.M.
Casperson, S.L.
Jahns, L.
Palmer, D.G.
Roemmich, J.N.
author_sort Nelson, A.M.
collection PubMed
description OBJECTIVE: The purpose of this longitudinal, observational study was to examine whether age and seasonal changes in sedentary activity (sedAct), moderate-to-vigorous physical activity (MVPA), and energy intake (EI) predict changes in body composition among midlife women. We hypothesized that reductions in MVPA and increases in sedAct and EI in winter, along with greater baseline age would predict increases in percentage body fat (%BF) across seasons. DESIGN: This study used a longitudinal, within-subjects design. Setting: This study took place in Grand Forks, North Dakota. PARTICIPANTS: Participants included 52 midlife women (aged 40-60 years) who were observed over the course of one year. MEASUREMENTS: Percentage body fat measures were obtained via whole body Dual Energy X-ray absorptiometry. Participants were scanned once per season. We measured EI using the ASA24®. We used a GTX3 accelerometer to measure physical activity. Each season, participants wore the monitors for 7 days, 12 hours per day. All measures began in summer. RESULTS: Results of hierarchical multiple regression (MR) analyses showed that age increases (β = 0.310, p = 0.021) and summer-to-fall increases in EI (β = 0.427, p = 0.002) predicted seasonal increases in %BF (R2 = .36, F(5, 42)= 4.66, p = 0.02). Changes in MVPA and sedAct were not significant predictors. Repeated measures ANCOVA revealed that summer (M = 37.7263, 95% CI [35.8377, 39.6149]) to winter (M = 38.1463, 95% CI [36.1983, 40.0942]) increases in %BF are not reversed by spring (M = 37.8761, 95% CI [35.9365, 39.8157]). CONCLUSIONS: To minimize increases in %BF and maintain health, midlife women, particularly older women, should be encouraged to pay extra attention to their diet in the fall months.
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spelling pubmed-100028942023-03-14 Seasonal Changes in Midlife Women’S Percentage Body Fat: A 1-Year Cohort Study Nelson, A.M. Casperson, S.L. Jahns, L. Palmer, D.G. Roemmich, J.N. JAR Life Article OBJECTIVE: The purpose of this longitudinal, observational study was to examine whether age and seasonal changes in sedentary activity (sedAct), moderate-to-vigorous physical activity (MVPA), and energy intake (EI) predict changes in body composition among midlife women. We hypothesized that reductions in MVPA and increases in sedAct and EI in winter, along with greater baseline age would predict increases in percentage body fat (%BF) across seasons. DESIGN: This study used a longitudinal, within-subjects design. Setting: This study took place in Grand Forks, North Dakota. PARTICIPANTS: Participants included 52 midlife women (aged 40-60 years) who were observed over the course of one year. MEASUREMENTS: Percentage body fat measures were obtained via whole body Dual Energy X-ray absorptiometry. Participants were scanned once per season. We measured EI using the ASA24®. We used a GTX3 accelerometer to measure physical activity. Each season, participants wore the monitors for 7 days, 12 hours per day. All measures began in summer. RESULTS: Results of hierarchical multiple regression (MR) analyses showed that age increases (β = 0.310, p = 0.021) and summer-to-fall increases in EI (β = 0.427, p = 0.002) predicted seasonal increases in %BF (R2 = .36, F(5, 42)= 4.66, p = 0.02). Changes in MVPA and sedAct were not significant predictors. Repeated measures ANCOVA revealed that summer (M = 37.7263, 95% CI [35.8377, 39.6149]) to winter (M = 38.1463, 95% CI [36.1983, 40.0942]) increases in %BF are not reversed by spring (M = 37.8761, 95% CI [35.9365, 39.8157]). CONCLUSIONS: To minimize increases in %BF and maintain health, midlife women, particularly older women, should be encouraged to pay extra attention to their diet in the fall months. SERDI Publisher 2022-07-01 /pmc/articles/PMC10002894/ /pubmed/36923232 http://dx.doi.org/10.14283/jarlife.2022.4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ) which permits use, duplication, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
spellingShingle Article
Nelson, A.M.
Casperson, S.L.
Jahns, L.
Palmer, D.G.
Roemmich, J.N.
Seasonal Changes in Midlife Women’S Percentage Body Fat: A 1-Year Cohort Study
title Seasonal Changes in Midlife Women’S Percentage Body Fat: A 1-Year Cohort Study
title_full Seasonal Changes in Midlife Women’S Percentage Body Fat: A 1-Year Cohort Study
title_fullStr Seasonal Changes in Midlife Women’S Percentage Body Fat: A 1-Year Cohort Study
title_full_unstemmed Seasonal Changes in Midlife Women’S Percentage Body Fat: A 1-Year Cohort Study
title_short Seasonal Changes in Midlife Women’S Percentage Body Fat: A 1-Year Cohort Study
title_sort seasonal changes in midlife women’s percentage body fat: a 1-year cohort study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10002894/
https://www.ncbi.nlm.nih.gov/pubmed/36923232
http://dx.doi.org/10.14283/jarlife.2022.4
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