Department of Endocrinology, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Department of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Front Endocrinol (Lausanne). 2022 Nov 9;13:996814. doi: 10.3389/fendo.2022.996814. eCollection 2022.
Since 2020, longer stay-at-home time in response to the coronavirus disease 2019 (COVID-19) pandemic has changed the weight-related behaviors of Chinese population.
To explore the demographic and basic characteristics of body fat scale users and to investigate the changes in obesity-related body composition of overweight and obese users during COVID-19. Further, we analyzed the factors associated with successful weight loss and improved body composition changes in overweight and obese people.
The study included 107,419 Chinese adults registered in the smart app connecting to the body fat scale in 2020 to describe the demographic characteristics of body fat scale users by Unpaired Student's t-test and Chi-Square test. Subsequently, overweight and obese participants with body mass index (BMI) of more than 24 kg/m were screened to investigate the independent factors associated with effective weight loss and improved body composition changes by multivariable logistic regression analyses.
During the pandemic, the number of body fat scale users increased markedly compared with pre-pandemic. Over half of the participants were women and with normal baseline BMI. Based on BMI classification, multivariable logistic regressions showed that age, gender, measurement frequency classification, baseline BMI, visceral adipose index and skeletal muscle rate were associated with weight loss and fat loss in the overweight and obese population, with the high-frequency measurement being the most important factor for effective weight and fat loss. In the population with normal BMI obesity, younger age was the most significant factor for effective fat loss.
During the COVID-19 pandemic, participation in self-monitored weight loss increased markedly compared with pre-pandemic, and women accounted for the majority. We found that many overweight and obese participants achieved weight loss goals by smart body fat scales, and the effectiveness of weight and fat loss was greater in obese participants than in overweight participants, both based on BMI and PBF classification. In addition, promoting the usage of smart body fat scales could contribute to more effective weight and fat loss in the overweight and obese population based on BMI classification. However, in the population with normal BMI obesity, young subjects might be easier to successfully lose fat compared with the elder. Digital self-management by smart body fat scales could become a promising approach for the obese population with high BMI to lose weight and keep healthy.
自 2020 年以来,为应对 2019 年冠状病毒病(COVID-19)大流行而延长的居家时间改变了中国人群与体重相关的行为。
探讨体脂秤使用者的人口统计学和基本特征,并调查 COVID-19 期间超重和肥胖用户肥胖相关身体成分的变化。此外,我们分析了与超重和肥胖人群成功减肥和改善身体成分变化相关的因素。
该研究纳入了 2020 年在连接体脂秤的智能应用程序中注册的 107419 名中国成年人,通过非配对学生 t 检验和卡方检验描述体脂秤使用者的人口统计学特征。随后,筛选出 BMI 大于 24kg/m 的超重和肥胖参与者,通过多变量逻辑回归分析调查与有效减肥和改善身体成分变化相关的独立因素。
在大流行期间,体脂秤使用者的数量与大流行前相比显著增加。参与者中一半以上为女性,且基线 BMI 正常。根据 BMI 分类,多变量逻辑回归显示,年龄、性别、测量频率分类、基线 BMI、内脏脂肪指数和骨骼肌率与超重和肥胖人群的体重减轻和脂肪减少相关,高频测量是有效减肥和减脂的最重要因素。在 BMI 正常肥胖人群中,年龄较小是有效减脂的最显著因素。
在 COVID-19 大流行期间,与大流行前相比,自我监测体重减轻的参与度显著增加,且女性占多数。我们发现,许多超重和肥胖参与者通过智能体脂秤达到了减肥目标,并且肥胖参与者的体重和脂肪减轻效果大于超重参与者,无论是基于 BMI 还是 PBF 分类。此外,促进智能体脂秤的使用可能有助于基于 BMI 分类的超重和肥胖人群更有效地减轻体重和脂肪。然而,在 BMI 正常肥胖人群中,与年长的人相比,年轻的受试者可能更容易成功减脂。智能体脂秤的数字化自我管理可能成为高 BMI 肥胖人群减肥和保持健康的有前途的方法。