Evidence map›Paper›PMID 42459461›Full record

ArticleFrontiers in public health2026

Trends in overweight prevalence among university freshmen and the impact of the COVID-19 pandemic: a repeated cross-sectional study.

Jiechen He, Xuan Yin, Jianguang Ji, Zhifeng Zhang

Abstract read
In one paragraph

Article in Frontiers in public health, 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.

Jiechen He *Faculty of Health Sciences, University of Macau, Taipa, Macao SAR, China.
Xuan Yin *Faculty of Health Sciences, University of Macau, Taipa, Macao SAR, China.
Jianguang JiFaculty of Health Sciences, University of Macau, Taipa, Macao SAR, China.
Zhifeng ZhangPublic Physical Education Department, Hebei North University, Zhangjiakou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Existing studies on body mass index (BMI) among university students have largely focused on short-term changes during the Coronavirus Disease 2019 (COVID-19) pandemic, with limited evidence on long-term trajectories across different pandemic phases. Therefore, this study aimed to evaluate trends in BMI and overweight prevalence among Chinese university freshmen from 2016 to 2024 using repeated cross-sectional data and to quantify both the immediate and sustained effects of COVID-19 policy transitions. Methods: Anthropometric data were collected from successive cohorts of freshmen from a Chinese university between 2016 and 2024. BMI was calculated and categorized into overweight and non-overweight groups. Long-term trends in BMI and overweight prevalence were assessed using linear and non-linear models. Interrupted time series (ITS) analysis was further applied to evaluate changes across the pre-, during-, and post-pandemic periods. Subgroup analyses were conducted by sex and academic discipline. Results: A total of 39,478 freshmen were included. Overall, a rising trend in BMI and overweight prevalence was observed among university students over the study period. Crude ITS analysis showed that BMI increased gradually before the pandemic ( Conclusion: BMI trajectories were significantly altered by the pandemic, with a marked post-pandemic acceleration exceeding pre-existing trends. Future longitudinal studies are needed to clarify the behavioral mechanisms underlying these trends.

Indexed as

COVID-19OverweightStudentsAdultBody Mass IndexChinaCross-Sectional StudiesFemaleHumansMalePandemicsPrevalenceSARS-CoV-2UniversitiesYoung Adultbody mass indexCOVID-19 pandemicinterrupted time series analysisoverweight rateuniversity freshmen

Identifiers

PMID42459461
PMCPMC13368738

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.