Evidence map›Paper›PMID 35865071›Full record

ArticleIranian journal of public health2022

Physical Activity Behaviors and Overweight Status among Iranian School-Aged Students during the COVID-19 Pandemic: A Big Data Analysis.

Sajad Bagherian, Khodayar Ghasempoor, Julien S Baker, Mohammad Mashhadi

Abstract read
In one paragraph

Article in Iranian journal of public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Article
  4. 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

4 authors.

Sajad BagherianDepartment of Sport Sciences, Shahrekord University, Shahrekord, Iran.
Khodayar GhasempoorDepartment of Physical Education and Sport Sciences, Technical and Vocational University, Tehran, Iran.
Julien S BakerCentre for Health and Exercise Science Research, Department of Sport, Physical Education and Health, Hong Kong Baptist University, Kowloon Tong, Hong Kong.
Mohammad MashhadiDepartment of Sports Injuries and Corrective Exercises, Shahid Bahonar University of Kerman, Kerman, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: We aimed to investigate school-aged students' physical activity behaviors and overweight status during the COVID-19 quarantine. Methods: In this cross-sectional study, an online questionnaire was utilized to measure participants' physical activity behavior and overweight status during the COVID-19 quarantine in Iran (May of 2021). Participants self-reported their physical activity levels, types, amounts and locations, as well as whether or not they became overweight. The chi-square test was used to determine the differences in the distribution of the participant responses. The statistical significance level was set at Results: The questionnaire was completed by 43,660 school-aged students (15,532 boys and 28,128 girls). The age, weight, and height ranges were 8-17 yr, 18-144 kg, and 75-198 cm respectively. Half of the students reported changes in their body weight and became overweight during the COVID-19 pandemic (χ Conclusion: During the COVID-19 pandemic, half of the students became overweight, and the majority did not engage in regular physical activity. These findings can help guide efforts to protect and promote children's health during the COVID-19 outbreak, as well as influence policies to reduce the risk of future pandemics.

Indexed as

COVID-19EpidemiologyHome-based exercisePhysical activitySchool closer

Identifiers

PMID35865071
PMCPMC9276601

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Registered trials

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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.