Evidence map›Paper›PMID 36440229›Full record

ArticleFrontiers in endocrinology2022

Self-managed weight loss by smart body fat scales ameliorates obesity-related body composition during the COVID-19 pandemic: A follow-up study in Chinese population.

Xinru Huang, Mingjie Li, Yefei Shi, Hongyun Yao, Zhijun Lei, Wenxin Kou, Bo Li, Jiayun Shi, Weiwei Zhang, Weixia Jian

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 38% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 1 country.

Xinru HuangDepartment of Endocrinology, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Mingjie LiDepartment of Endocrinology, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Yefei ShiDepartment of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Hongyun YaoDepartment of Endocrinology, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Zhijun LeiDepartment of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Wenxin KouDepartment of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Bo LiDepartment of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Jiayun ShiDepartment of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Weiwei ZhangDepartment of Endocrinology, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Weixia JianDepartment of Endocrinology, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
XinHua Hospital · CNTongji University · CNShanghai Tenth People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: 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. Objectives: 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. Methods: 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 Results: 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. Conclusion: 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.

Indexed as

COVID-19Self-ManagementAdipose TissueAdultAgedBody CompositionChinaFemaleFollow-Up StudiesHumansMaleObesityOverweightPandemicsWeight LossCOVID-19normal weight obesityobesitysmart body fat scalesweight loss

Identifiers

PMID36440229
PMCPMC9682041
OpenAlexW4308653045

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.