Saltar al contenido principal

ETHNOS_APP

Inicio • Búsqueda • Revistas • Lista 0

Impact of resistance training intensity on body composition and nutritional intake among college women with overweight and obesity

A cluster randomized controlled trial

Datos Bibliográficos

ID22068468
AutoresQiang Wang (0000-0003-3091-5503, Universiti Putra Malaysia), Wen Xiao (0000-0002-4951-7524, Huzhou University), Wen Sheng Xiao, Mahmoud Danaee (0000-0002-5014-5684, University of Malaya), Soh Kim Geok (0000-0003-0764-1137, Universiti Putra Malaysia), Wan Ying Gan (0000-0002-9016-3414, Universiti Putra Malaysia), Wang Li Zhu (Nanchang University, autor de correspondencia), Yi Qiang (0000-0002-6872-8837, Henan Polytechnic University), Yi Qiang Mai
Año2025
Volumen13
Páginas1589036-1589036
Fecha de publicación2025-05-30
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaFrontiers in Public Health (JOURNAL)
Identificadores de la revistaISSN: 2296-2565 • E-ISSN: 2296-2565
EditorialFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2025.1589036
PMID40520279
OpenAlexW4410905636
IdiomaEN
Citas recibidas1
Referencias citadas156

Introduction The prevalence of overweight and obesity among college women is a public health concern. This study examined the effects of different intensities of resistance training on body composition and nutritional intake in overweight and obese college women. Methods A cluster-randomized controlled trial with a 12-week intervention included 72 participants, divided into low, moderate, and high-intensity resistance training groups, along with a control group. The 3-day food record and other standardized instruments measured the corresponding variables. Results Post-test results showed a significant reduction in body fat percentage for the high-intensity group compared with the low-intensity ( p = 0.035) and control groups ( p = 0.026). Significant reductions in energy and protein intake for the moderate-intensity group compared to the low-intensity (both p < 0.022) and control groups (both p < 0.007). In the high-intensity group, energy intake was significantly reduced compared to the control group ( p < 0.001). Fat intake decreased in the moderate-intensity group compared to the high-intensity ( p = 0.017) and control groups ( p = 0.002). Carbohydrate intake was significantly lower in the moderate-intensity group compared to the control group ( p = 0.001), while in the high-intensity group compared with the low-intensity ( p = 0.049) and control groups (p < 0.001). The correlation between changes in body composition and nutritional intake was positive in the high-intensity group (r = 0.513–0.839, all p < 0.05) but negative in the control group (r = −0.606–−0.838, all p < 0.01). Discussion These findings suggest that high-intensity resistance training is most effective for improving body composition; both moderate- (especially) and high-intensity resistance training are the most influential in modifying nutritional intake; and high-intensity resistance training demonstrates the best correlation between changes in body composition and nutritional intake. Further research is required to address the contradictory result regarding body fat percentage compared to before, as well as to explore limitations related to population diversity, alternative exercise comparisons, rigorous dietary assessment methods, and underlying mechanisms. Systematic review registration ClinicalTrials.gov , NCT05530629

Obesity · Overweight · Physical therapy · Randomized controlled trial · Resistance training · Cardiovascular and exercise physiology · Computer Science · Genetics and Physical Performance · Medicine · Physical Activity and Health · Gerontology · Internal Medicine

  • Commentary

    Open Access•Joshua L Keller, Sarah E Deemer et al.•Frontiers in Public Health•2025

  • The Biology of Human Starvation

    ANCEL KEYS, Ancel Benjamin Keys et al.•Biology of Human Starvation•1950

  • Interventions for Adolescent Substance Abuse

    Open Access•Jai K Das, Rehana A Salam et al.•Journal of Adolescent Health•2016

  • Health Effects of Overweight and Obesity in 195 Countries over 25 Years

    Open Access•The GBD Obesity Collaborators•New England Journal of Medicine•2017

  • Addressing Current Criticism Regarding the Value of Self-Report Dietary Data

    Open Access•Amy F Subar, Laurence S Freedman et al.•The Journal of Nutrition•2015

  • Worldwide trends in underweight and obesity from 1990 to 2022

    Open Access•Nowell H Phelps, Rosie Singleton et al.•The Lancet•2024

  • Healthy diet

    Open Access•Denise De Ridder, Floor M Kroese et al.•Psychology & Health•2017

  • Measuring Heart Rate Variability Using Commercially Available Devices in Healthy Children

    Open Access•Kathryn E Speer, Stuart Semple et al.•European Journal of Investigation…•2020

  • Multicomponent Physical Exercise in Older Adults after Hospitalization

    Open Access•Iñaki Echeverria, María Amasene et al.•International Journal of…•2020

  • Prevalence of Overweight/Obesity and Its Associated Factors among University Students from 22 Countries

    Open Access•Karl Peltzer, Pengpid et al.•International Journal of…•2014

  • Strength plus Endurance Training and Individualized Diet Reduce Fat Mass in Overweight Subjects

    Open Access•Pedro J Benito, Bricia López‐Plaza et al.•International Journal of…•2020

  • Influence of water-based exercise on energy intake, appetite, and appetite-related hormones in adults

    Open Access•Marie J Grigg, C Douglas Thake et al.•Appetite•2023

  • The impact of acute and chronic resistance training on appetite and energy intake

    Open Access•Valéria L G Panissa, Larissa K Cardoso et al.•Appetite•2024

  • Acute effect of high-intensity interval training versus moderate-intensity continuous training on appetite perception

    Open Access•Mingzhu Hu, Jinlei Nie et al.•Appetite•2023

  • Effects of acute resistance exercise with different loads on appetite, appetite hormones and autonomic nervous system responses in healthy young men

    Open Access•Hung-Wen Liu, Hao-Chien Cheng et al.•Appetite•2023

Obras citantes distintas1
Citas por año1
Intervalo de citas2025 - 2025 (1)
Velocidad de citaciónrecent
Altamente citadoNo
Tipos de citaNeutras: 1
Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae