Evidence map›Paper›PMID 33466362›Full record

ArticleHealthcare (Basel, Switzerland)2021

Optimal Span between Feet of Public Squat Toilet Based on Anthropometric Data and Squatting Stability Assessment.

Yi-Lang Chen, Resy Kumala Sari, Ying-Hua Liao, Wei-Cheng Lin

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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.

Yi-Lang ChenDepartment of Industrial Engineering and Management, Ming Chi University of Technology, New Taipei 24301, Taiwan.ORCID 0000-0002-1292-0758
Resy Kumala SariDepartment of Industrial Engineering and Management, Ming Chi University of Technology, New Taipei 24301, Taiwan.
Ying-Hua LiaoDepartment of Industrial Engineering and Management, Ming Chi University of Technology, New Taipei 24301, Taiwan.
Wei-Cheng LinDepartment of Industrial Engineering and Management, Ming Chi University of Technology, New Taipei 24301, Taiwan.

Funding

Ministry of Science and Technology, Taiwan MOST107-2221-E-131-021-MY3
6 · The paper itself

Abstract

Sitting toilets are preferred globally because they afford a relatively comfortable posture. However, squat toilets are among the most common toilets in numerous public areas because of their advantages, including personal hygiene, easy cleaning, and health benefits. This study attempted to determine optimal toilet design parameters and recruited 50 Taiwanese and 50 Southeast Asian women and collected span between feet (SBF) data for participants squatting in their most comfortable posture, and also surveyed maximum outer width (MOW) data of 28 public squat toilets in Taipei. Finally, we compared the squatting stability levels of 40 female participants (20 Taiwanese and 20 Southeast Asians) who squatted for 2 min at comfortable SBF and MOW-based SBF values. The results revealed that the minimum and maximum SBFs of Taiwanese were 14.52 cm and 18.40 cm, and that of Southeast Asians were 15.64 cm and 20.40 cm, respectively. No significant difference was observed in the SBFs between the two groups was observed. The mean (range) MOW of the surveyed toilets was 27.7 (27-29) cm. Analysis of variance results showed no difference in stability between the two SBFs. This implies that the comfortable SBF (i.e., 16 cm between the participants' heels) was narrower than the MOW, as commonly used, indicating that the comfortable SBF can be considered as an optimal toilet width parameter because of its constant stability.

Indexed as

comfortspan between feet (SBF)squatting-type toiletstability

Identifiers

PMID33466362
PMCPMC7824858

What OpenQuestion holds

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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.