Association of physical activity levels and the prevalence of COVID-19-associated hospitalization

Francis Ribeiro de Souza
Daisy Motta-Santos
Douglas dos Santos Soares
Juliana Beust de Lima
Gustavo Gonçalves Cardozo
Luciano Santos Pinto Guimarães
Carlos Eduardo Negrão
Marcelo Rodrigues dos Santos

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Abstract

No abstract available

Version published to 10.1016/j.jsams.2021.05.011
Sep 1, 2021

SciScore for 10.1101/2020.10.14.20212704: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

Institutional Review Board Statement	IRB: This study was approved by the local Human Subject Protection Committee at the Hospital das Clinicas da Faculdade de Medicina da Universidade de São Paulo (CAPPesq 5044-20-073), and all participants provided an online written informed consent. Consent: This study was approved by the local Human Subject Protection Committee at the Hospital das Clinicas da Faculdade de Medicina da Universidade de São Paulo (CAPPesq 5044-20-073), and all participants provided an online written informed consent.
Randomization	not detected.
Blinding	not detected.
Power Analysis	For the comparison of physical activity groups between the diagnoses of having or not having COVID-19, the sample was calculated based on the comparison of proportions in the G*Power software, with 80% power, 5% significance level, degree of freedom equal to 2 (following a 3×2 size table; 3=hospitalization [yes and no] and 2=physical activity [athlete, physically active, and sedentary]) and an effect size w of 0.1.
Sex as a biological variable	The inclusion criteria were men and women who had recovered and were survivors of the disease.

Table 2: Resources

Software and Algorithms
Sentences	Resources
For the comparison of physical activity groups between the diagnoses of having or not having COVID-19, the sample was calculated based on the comparison of proportions in the G*Power software, with 80% power, 5% significance level, degree of freedom equal to 2 (following a 3×2 size table; 3=hospitalization [yes and no] and 2=physical activity [athlete, physically active, and sedentary]) and an effect size w of 0.1.	*GPower** suggested: (G*Power, RRID:SCR_013726)
Statistical analysis: The data analysis was performed using SPSS v.	SPSS suggested: (SPSS, RRID:SCR_002865)

Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

Results from TrialIdentifier: We found the following clinical trial numbers in your paper:

Identifier	Status	Title
NCT04396353	Completed	EXercise TRAining and Sedentary Lifestyle on Clinical Outcom…

Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

Results from JetFighter: We did not find any issues relating to colormaps.

Results from rtransparent:

Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
No protocol registration statement was detected.

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SciScore for 10.1101/2020.10.14.20212704: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

Institutional Review Board Statement

( This study was approved by the local Human Subject Protection Committee at the Hospital das Clinicas da Faculdade de Medicina da Universidade de São Paulo (CAPPesq 5044-20-073), and all participants provided an online written informed consent.

Randomization

not detected.

Blinding

not detected.

Power Analysis

For the comparison of physical activity groups between the diagnoses of having or not having COVID-19, the sample was calculated based on the comparison of proportions in the G*Power software, with 80% power, 5% significance level, degree of freedom equal to 2 (following a 3x2 size table; 3=hospitalization [yes and no] and 2=physical activity [athlete, physically active, and sedentary]) and an effect size w of 0.1.

Sex as a biological variable

The inclusion criteria were men and women who had recovered and were survivors of the disease.

Table 2: Resources

Software and Algorithms
Sentences	Resources
For the comparison of physical activity groups between the diagnoses of having or not having COVID-19, the sample was calculated based on the comparison of proportions in the G*Power software, with 80% power, 5% significance level, degree of freedom equal to 2 (following a 3x2 size table; 3=hospitalization [yes and no] and 2=physical activity [athlete, physically active, and sedentary]) and an effect size w of 0.1.	*GPower** suggested: (G*Power, RRID:SCR_013726)
Statistical analysis The data analysis was performed using SPSS v.	SPSS suggested: (SPSS, RRID:SCR_002865)

Results from OddPub: Thank you for sharing your data.

Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:

STUDY LIMITATIONS This is an observational study and the results should be interpreted with caution. Although we found an association between physical activity and lower prevalence of COVID19-related hospitalizations, we did not investigate the mechanisms involved in this relationship. All participants filled out the electronic form by themselves and possible bias should be considered. However, we constructed a quality control criterion to reduce such biases. We did not directly measure physical activity by an accelerometer device; however, self-report physical activity questionnaires have been largely used in research, and a systematic review shows that the IPAQ short form has excellent test–retest reliability (r=0.91).40