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基于数字技术的运动联合饮食干预对肥胖大学生身体成分的影响:前瞻性研究

The Impact of Digital Technology-Based Exercise Combined With Dietary Intervention on Body Composition in College Students With Obesity: Prospective Study.

作者信息

Hu Chengyuan, Lv Zixin, Zhu Jieping, Lai Chunyuan, Guo Dongjuan, Chen Maolin, Cheng Xiaoyan, Rao Mingxin, Zhou Xinyou, Su Liqiang

机构信息

School of Physical Education, Jiangxi Normal University, Nanchang, China.

出版信息

J Med Internet Res. 2025 Jun 2;27:e65868. doi: 10.2196/65868.

Abstract

BACKGROUND

Lifestyle interventions are a critical component of weight loss programs, yet digital, personalized, and theory- and evidence-based lifestyle interventions remain limited.

OBJECTIVE

This study aimed to investigate the effects of a combination of various dietary approaches and digital technology-based exercise on the body composition of college students with obesity.

METHODS

A total of 129 college students with obesity (mean age 18.3, SD 0.7 years; mean weight 89.9, SD 13.6 kg; mean BMI 30.6, SD 3.3 kg/m) were initially recruited for this study. After excluding 2 participants, 127 students with obesity were ultimately included in the statistical analysis. An 8-week weight loss intervention was conducted with the students, combining exercise and various digitally supported dietary approaches. Body composition indicators (muscle mass and fat mass) were assessed before and after the intervention. Participants were divided into 3 experimental groups (twice-weekly fasting [TWF], low-calorie diet [LCD], and time-restricted feeding [TRF]). Between-group comparisons were made using a 1-way ANOVA, while within-group comparisons used a repeated-measures ANOVA. Linear mixed-effects models were used to examine the interaction effects between sex and time, as well as between sex and group.

RESULTS

All groups showed significant decreases in weight and BMI, and the TRF group also showed a significant decrease in BMI (P=.002), but there were significant sex differences. The male TWF group showed the largest decrease in weight (mean difference [MD] -4.86 kg; P<.001), BMI (MD -1.1 kg/m; P<.001), visceral fat mass (MD -0.607 kg; P=.003) and subcutaneous fat mass (MD -1.987 kg; P<.001) at 8 weeks. Improvements in weight (MD -5.662 kg; P<.001) and BMI (MD -1.587 kg/m; P<.001) were more pronounced in the LCD group of female participants (P<.001). Muscle mass declined significantly in male participants in the TRF group at 4 weeks (P<.001) but stabilized at 8 weeks (P=.87). Linear mixed effects models showed that the sex and diet interaction significantly affected subcutaneous fat mass (P=.02). The effect of TRF on muscle mass in male participants peaked at 4 weeks (P<.001), with no significant difference from the control group at 8 weeks (P=.91).

CONCLUSIONS

This study demonstrated that 3 diet-combined exercise regimens produced sex-specific improvements in body composition in college students with obesity. Male participants achieved maximum visceral fat mass loss after 8 weeks with TWF combined with exercise, whereas female participants achieved greater total body fat loss with LCD combined with exercise. The effectiveness of the closed-loop monitoring-feedback behavior modification was verified by digital technology through intelligent monitoring to improve dietary compliance and a real-time feedback mechanism to enhance the effect of the intervention. The sex and diet interaction significantly affected subcutaneous fat mass; women who used LCD and TRF needed additional protein supplementation. Digital technology shows great potential in obesity management and is worth promoting.

摘要

背景

生活方式干预是减肥计划的关键组成部分,但数字化、个性化且基于理论和证据的生活方式干预仍然有限。

目的

本研究旨在探讨多种饮食方法与基于数字技术的运动相结合对肥胖大学生身体成分的影响。

方法

本研究最初招募了129名肥胖大学生(平均年龄18.3岁,标准差0.7岁;平均体重89.9千克,标准差13.6千克;平均BMI 30.6,标准差3.3千克/米²)。排除2名参与者后,最终127名肥胖学生纳入统计分析。对学生进行了为期8周的减肥干预,将运动与各种数字化支持的饮食方法相结合。在干预前后评估身体成分指标(肌肉量和脂肪量)。参与者分为3个实验组(每周两次禁食 [TWF]、低热量饮食 [LCD] 和限时进食 [TRF])。组间比较采用单因素方差分析,组内比较采用重复测量方差分析。线性混合效应模型用于检验性别与时间之间以及性别与组之间的交互作用。

结果

所有组的体重和BMI均显著下降,TRF组的BMI也显著下降(P = 0.002),但存在显著的性别差异。男性TWF组在8周时体重下降最大(平均差值 [MD] -4.86千克;P < 0.001)、BMI(MD -1.1千克/米²;P < 0.001)、内脏脂肪量(MD -0.607千克;P = 0.003)和皮下脂肪量(MD -1.987千克;P < 0.001)。女性参与者的LCD组体重(MD -5.662千克;P < 0.001)和BMI(MD -1.587千克/米²;P < 0.001)改善更为明显(P < 0.001)。TRF组男性参与者的肌肉量在4周时显著下降(P < 0.001),但在8周时稳定(P = 0.87)。线性混合效应模型显示,性别与饮食的交互作用显著影响皮下脂肪量(P = 0.02)。TRF对男性参与者肌肉量的影响在4周时达到峰值(P <  0.001),8周时与对照组无显著差异(P = 0.91)。

结论

本研究表明,3种饮食与运动相结合的方案对肥胖大学生的身体成分产生了性别特异性改善。男性参与者在8周时通过TWF与运动相结合实现了最大的内脏脂肪量减少,而女性参与者通过LCD与运动相结合实现了更大的全身脂肪减少。数字技术通过智能监测验证了闭环监测 - 反馈行为修正的有效性,以提高饮食依从性,并通过实时反馈机制增强干预效果。性别与饮食的交互作用显著影响皮下脂肪量;采用LCD和TRF的女性需要额外补充蛋白质。数字技术在肥胖管理中显示出巨大潜力,值得推广。

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