Evidence map›Paper›PMID 24877137›Full record

Trial reportBioMed research international2014

Measurement of bed turning and comparison with age, gender, and body mass index in a healthy population: application of a novel mobility detection system.

Shang-Lin Chiang, Chia-Huei Lin, Shin-Tsu Chang, Chueh-Ho Lin, Po-Yin Chen, Wen-Hsu Sung, Shun-Hwa Wei

Abstract readClinical TrialComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Trial report in BioMed research international, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Shang-Lin ChiangDepartment of Physical Therapy and Assistive Technology, National Yang Ming University, No. 155, Sec. 2, Linong Street, Beitou, Taipei City 112, Taiwan ; Department of Physical Medicine and Rehabilitation, School of Medicine, National Defense Medical Center, No. 325, Sec. 2, Chenggong Road, Neihu District, Taipei City 114, Taiwan ; Department of Physical Medicine and Rehabilitation, Tri-Service General Hospital, No. 325, Sec. 2, Chenggong Road, Neihu District, Taipei City 114, Taiwan.
Chia-Huei LinGraduate Institute of Medical Sciences, National Defense Medical Center, No. 325, Sec. 2, Chenggong Road, Neihu District, Taipei City 114, Taiwan ; Department of Nursing, Tri-Service General Hospital, School of Nursing, National Defense Medical Center, No. 325, Sec. 2, Chenggong Road, Neihu District, Taipei City 114, Taiwan.
Shin-Tsu ChangDepartment of Physical Medicine and Rehabilitation, School of Medicine, National Defense Medical Center, No. 325, Sec. 2, Chenggong Road, Neihu District, Taipei City 114, Taiwan ; Department of Physical Medicine and Rehabilitation, Taichung Veterans General Hospital, No. 1650, Sec. 4, Taiwan Boulevard, Xitun District, Taichung City 407, Taiwan.
Chueh-Ho LinDepartment of Physical Therapy and Assistive Technology, National Yang Ming University, No. 155, Sec. 2, Linong Street, Beitou, Taipei City 112, Taiwan.
Po-Yin ChenDepartment of Physical Therapy and Assistive Technology, National Yang Ming University, No. 155, Sec. 2, Linong Street, Beitou, Taipei City 112, Taiwan.
Wen-Hsu SungDepartment of Physical Therapy and Assistive Technology, National Yang Ming University, No. 155, Sec. 2, Linong Street, Beitou, Taipei City 112, Taiwan.
Shun-Hwa WeiDepartment of Physical Therapy and Assistive Technology, National Yang Ming University, No. 155, Sec. 2, Linong Street, Beitou, Taipei City 112, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We developed a mobility detection system to analyze pressure changes over time during side-turns in 29 healthy volunteers (17 males and 12 females) with a mean age of 46.1 ± 19.64 years (ranging from 23 to 86 years) in order to determine the effect of gender, age, and BMI on performance during bed postural change. Center of gravity (COG) location, peak pressure of counteraction, and time to reach peak pressure were the main outcomes used to gauge the ability to make a spontaneous side-turn. Men exhibited significantly higher side-turning force (P = 0.002) and back-turning force (P = 0.002) compared with women. Subjects with BMI ≥ 27 kg/m(2) had significantly higher side-turning force (P = 0.007) and back-turning force (P = 0.007) compared with those with BMI < 27 kg/m(2). After adjusting for other covariates, age positively correlated with back-turning time (P = 0.033) and negatively correlated with side-turning speed (P = 0.005), back-turning speed (P = 0.014), side-turning force (P = 0.010), and back-turning force (P = 0.016), respectively. Turning times negatively correlated with time to reach peak pressure (P = 0.008). Our system was effective in detecting changes in turning swiftness in the bed-ridden subject.

Indexed as

AgingBedsBody Mass IndexMonitoring, PhysiologicSex CharacteristicsAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedMovementPosture

Identifiers

PMID24877137
PMCPMC4021992

What OpenQuestion holds

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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.