Evidence map›Paper›PMID 35155831›Full record

ArticleHealth science reports2022

Physical fitness in patients with bipolar disorder compared with a population-based sample.

Ali Kheradmand, Amir Hossein AbediYekta, Hannaneh Safarzadeh, Maryam Ganjalikhani

Open access · goldAbstract read
In one paragraph

Article in Health science reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 40% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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 at 1 institution in 1 country.

Ali KheradmandTaleghani Hospital Research Development Committee, School of Medicine Shahid Beheshti University of Medical Sciences Tehran Iran.ORCID https://orcid.org/0000-0002-3704-9233
Amir Hossein AbediYektaTaleghani Hospital Research Development Committee, School of Medicine Shahid Beheshti University of Medical Sciences Tehran Iran.
Hannaneh SafarzadehSchool of Medicine Shahid Beheshti University of Medical Sciences Tehran Iran.
Maryam GanjalikhaniSchool of Medicine Shahid Beheshti University of Medical Sciences Tehran Iran.
Shahid Beheshti University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to evaluate physical fitness and body composition in a sample including hospitalized patients with bipolar disorder and to compare them with a population-based sample.

methodsIn this comparative observational study, 40 bipolar patients and 40 healthy subjects in Taleghani Hospital, Tehran, Iran, in 2019 were assessed. The physical fitness items such as body mass index (BMI), body fat, push-up test, curl-up test, VO2 peak, and sit and reach test were compared across the groups. Young Mania Rating Scale for assessing the severity of bipolar disease and WHODAS2.0 for the estimation of global performance were done in the case group.

resultsThe results of this study demonstrate that sit and reach test, body mass index (BMI), and body fat percent were similar across the studied groups. The push-up test, curl-up test, and VO2 peak (

conclusionLower push-up and curl-up can indicate an increase in both back and neck pains in these patients. Low VO2 peak in these patients increases the risk of heart disease and mortality rates in bipolar patients. The push-up test can be used as a screen test to estimate the severity of the bipolar disorder.

Indexed as

anthropometrybipolar disorderbody mass indexphysical fitness

Identifiers

PMID35155831
PMCPMC8827274
OpenAlexW4210852296

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.