Evidence map›Paper›PMID 42754879›Full record

ArticleBMC pediatrics2026

A longitudinal study on differential impacts of the COVID-19 pandemic and normalized prevention and control on overweight and obese adolescents in China.

Yulituzeayi Maitituersun, Ran Su, Guan Yang, Alimujiang Yimiti Taerken

Abstract read
In one paragraph

Article in BMC pediatrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Yulituzeayi MaitituersunInstitute of Physical Education, Xinjiang Normal University, Urumqi, Xinjiang, China.ORCID http://orcid.org/0009-0009-7215-6884
Ran SuInstitute of Physical Education, Xinjiang Normal University, Urumqi, Xinjiang, China.ORCID http://orcid.org/0009-0004-5935-7730
Guan YangSchool of Physical Education, South China University of Technology, Guangzhou, China. yangmp6@scut.edu.cn.ORCID http://orcid.org/0000-0002-9559-247X
Alimujiang Yimiti TaerkenInstitute of Physical Education, Xinjiang Normal University, Urumqi, Xinjiang, China. alkut717@126.com.ORCID http://orcid.org/0009-0007-9492-2469

Funding

Youth Project of National Social Science Foundation in China 25CTY032
6 · The paper itself

Abstract

objectiveTo investigate the impact of the coronavirus disease 2019 (COVID-19) pandemic and its subsequent normalized prevention and control phase on the body mass index (BMI) and prevalence of overweight and obesity among adolescents aged 13-18 years in China, providing a basis for formulating growth and development intervention strategies in the post-pandemic era.

methodsUsing a random cluster sampling method, 120,459 adolescents aged 13-18 years from 15 junior and senior high schools across 4 districts/prefectures in Xinjiang, China, were selected as study subjects based on geographical distribution characteristics from 2017 to 2021. Height and weight were measured in strict accordance with the National Student Physical Health Standard, and physical status was classified into underweight, normal weight, overweight, obesity, and combined "overweight+obesity" based on BMI. Relevant data were analyzed using normality tests, one-way ANOVA, χ² test, and binary logistic regression, accounting for the clustered sampling design. The significance level was set as 5%.

resultsThe mean BMI of adolescents aged 13-18 years in 2020 increased significantly by 0.2 kg/m² compared with previous years, while showing a declining trend in 2021 (F=104.862, P<0.001). BMI changes exhibited gender and age differences, with girls showing greater fluctuation than boys (F = 114.950, 30.063, both P < 0.001). Statistically significant differences were also observed across all age groups (all P < 0.05). Detection rates of nutritional status categories showed: compared with 2017-2019, the underweight rate decreased to 10.6% in 2020, while overweight and "overweight+obesity" rates increased to 9.5% and 12.0%, respectively (both P<0.05); compared with 2020, the underweight rate rebounded to 13.9% in 2021, while overweight and "overweight+obesity" rates decreased to 8.0% and 10.7%, respectively (both P<0.05), with particularly significant changes observed in girls and the 13-15-year-old group. Logistic regression analysis (with 2017 as reference) indicated that in 2020, the risk of underweight decreased (OR=0.668, 95% CI: 0.633-0.706), while the risks of overweight (OR=1.280, 95% CI: 1.199-1.366) and "overweight+obesity" (OR=1.364, 95% CI: 1.286-1.448) increased; in 2021, the risk of underweight increased (OR=0.917, 95% CI: 0.872-0.965), while the risk of "overweight+obesity" decreased (OR=1.201, 95% CI: 1.131-1.275), with these associations being more pronounced in girls.

conclusionThe initial stage of the COVID-19 pandemic was associated with a significant negative impact on the weight status of Chinese adolescents aged 13-18 years, manifested by increased BMI and elevated detection rates of overweight and obesity. As prevention and control entered a normalized phase, this impact gradually diminished, with weight distribution showing a tendency to return to pre-pandemic status. Future efforts should focus on strengthening long-term dynamic monitoring of adolescent weight changes and developing and implementing precise health interventions to prevent undesirable physical status and promote the overall healthy development of adolescents.

Indexed as

COVID-19OverweightPediatric ObesityAdolescentBody Mass IndexChinaFemaleHumansLongitudinal StudiesMalePandemicsPrevalenceA longitudinal studyBody mass indexOverweight and obese adolescentsPhysical statusThe COVID-19 pandemic

Identifiers

PMID42754879
PMCPMC13584293

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.