Effects of long-duration sitting with limited space on discomfort, body flexibility, and surface pressure

Li, Wenhua; Yu, Shuhui; Yang, Haicheng; Pei, Huining; Zhao, Chuan

doi:10.1016/j.ergon.2017.01.002

Cited by 35 publications

(25 citation statements)

References 39 publications

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“…During air travel, the aircraft passenger's seat is an important feature to provide comfortable seating conditions for the passenger. The seat also is a place where the passenger spends most of his or her time during air travel (Li, Yu, Yang, Pei, & Zhao, ). The airline companies always try to maximize their profit by maximizing the number of seats.…”

Section: Introductionmentioning

confidence: 99%

Predicting aircraft seat comfort using an artificial neural network

Zhao

Miller³

et al. 2018

Hum Ftrs & Erg Mfg Svc

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Aircraft seat pitch is one of the most important factors affecting passengers ability to sit comfortably for a longer time on the plane. The purpose of this study was to illustrate the association between different seat pitches and overall comfort index, and seat‐interface pressure variables as well as try to predict aircraft seat comfort. Through an experimental study, 11 subjects (age, 26.3 ± 1.6; height, 169.8 ± 8.5; body mass, 65.1 ± 15.6) rated five different seat pitch settings (55 examples, 11 participants and five scenarios). Descriptive statistics, together with one‐way analysis of variance were used to determine which of the metrics could be used to distinguish the overall comfort index. The results show that overall comfort index was statistically significant (p < 0.05) between different seat pitches, but there was no statistically significant difference (p > 0.05) in interface pressure variables. In addition, a multilayer feed forward neural network with one hidden layer was proposed with the help of Matlab Neural Network Toolbox. The model explained 99% of the variance in overall comfort index with the root mean square error (RMSE) of 0.12551. The remainder of the total data was used for validation purposes; the correlation is r = 0.775, p < 0.01, and the RMSE is 1.21031. That suggests this model has a significant relationship between the actual and predicted overall comfort index.

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Section: Introductionmentioning

confidence: 99%

Predicting aircraft seat comfort using an artificial neural network

Zhao

Miller³

et al. 2018

Hum Ftrs & Erg Mfg Svc

Self Cite

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“…A sensitivity analysis was conducted including only the 5 studies that were rated as having an overall low risk of bias (n ¼ 121). 35,38,40,42,43 Also among these studies, an increased pain rating from baseline after sitting exposure was also observed.…”

Section: Quality Of Reporting Risk Of Bias Assessment and Synthesismentioning

confidence: 71%

“…The titles and abstracts of the 361 remaining articles were screened, and of these, 75 full papers were accessed for further review of eligibility. Sixty-five articles were excluded and the remaining 10 articles, 21,[35][36][37][38][39][40][41][42][43] including data for 330 participants, were included in this study (Fig 1).…”

Section: Literature Search and Study Selectionmentioning

confidence: 99%

“…In all studies, ratings of perceived LBP or discomfort were made with a C10 Borg Scale, 43 a visual analog scale (10 cm 21,36,40 or 100 mm 38,39,42 ), the Nordic Musculoskeletal Questionnaire, 37,41 or the 5-point numerical rating scale. 35 Attempts were made to contact authors directly where pain rating data were presented with no reference to baseline measures. The summary measures are presented as either the average relative changes from baseline or odds ratio (OR) in the final column of Table 1.…”

Section: Characteristics Of Included Studiesmentioning

confidence: 99%

“…More complete details of the recruitment strategy, period, and locations could have been included by most of the studies, and the reporting of the statistical analysis was unclear in 1 study. 36 Consequently, 5 of the 10 included studies were rated as having an overall low risk of bias, 35,38,40,42,43 and 5 were rated as having a moderate risk of bias. 21,36,37,39,41 No study was rated as having an overall high risk of bias or as having a high risk of bias in any 1 domain.…”

Section: Quality Of Reporting Risk Of Bias Assessment and Synthesismentioning

confidence: 99%

See 2 more Smart Citations

Association of Exposures to Seated Postures With Immediate Increases in Back Pain: A Systematic Review of Studies With Objectively Measured Sitting Time

Carvalho

Luca

Funabashi

et al. 2020

Journal of Manipulative and Physiological Therapeutics

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Objective: The purpose of this study was to conduct a systematic review of studies to determine whether sitting time measured objectively (by laboratory controlled time trial, direct observation, or wearable sensor) is associated with the immediate increase in low back pain (LBP) (determined by pain scale rating) in people >18 years of age. Methods: Four databases (PubMed, EMBASE, SPORTDiscus, and Cumulative Index to Nursing and Allied Health Literature) were searched from inception to September 1, 2018. Randomized controlled trials and cohort and crosssectional studies, where objectively measured sitting time was temporally matched with a measure of LBP in adults, were included. Studies without a control session conducted on a separate day were excluded. Screening, full-text review, data extraction, and risk of bias assessment (Quality In Prognosis Studies) of included papers were performed independently by 2 reviewers, with a third available to resolve disagreements. Results: In total, 609 articles were identified, 361 titles/abstracts were screened,75 full-text articles were assessed for eligibility, and 10 met the inclusion criteria. All but 1 reported sitting time to be associated with an immediate increase in LBP. Six of these reported clinically relevant pain levels (n ¼ 330). Half of the included studies were rated as having a low risk of bias and the remaining were rated as having a moderate risk of bias. Conclusion: Prolonged sitting increases immediate reporting of LBP in adults; however, no conclusion between sitting and clinical episodes of LBP can be made. Based upon these findings, we recommend that future prospective studies should match objectively measured sitting with temporally related pain measurements to determine whether prolonged sitting can trigger a clinical episode of LBP. (J Manipulative Physiol Ther 2020;43:1-12) No language restrictions were used, and all articles that met the inclusion criteria for study design and population, exposure, and LBP were included for analysis.Study Design and Population.

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Enhancing aircraft cabin comfort to compete with high‐speed trains: A survey in China

Wang

Zhi

Xiang

et al. 2021

Hum Ftrs & Erg Mfg Svc

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To improve the competitiveness of air transport, this study proposed a method for devising a differentiated comfort enhancement strategy and compared the comfort of aircraft and high-speed trains (HST). Structural equation modeling (SEM) was used to analyze the similarities and differences in the factors influencing comfort in aircraft cabins and HST compartments. The results showed that comfort in widebody aircraft cabins was mainly influenced by "food & beverage" and "personal inflight entertainment" (personal IFE), whereas comfort in narrow-body aircraft and HSTs was mainly influenced by the "passenger interface." The results also showed no significant difference in the overall comfort evaluation of the passenger interface between narrow-body aircraft and HSTs. Furthermore, aircraft passenger ratings were significantly lower than those of HST passengers with regard to "spaciousness," "seat comfort," and "seat and cabin and compartment aesthetics." The study results suggest that given competition from HSTs, airlines should use different comfort enhancement strategies for wide-body and narrow-body aircraft cabins.

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Effects of long-duration sitting with limited space on discomfort, body flexibility, and surface pressure

Cited by 35 publications

References 39 publications

Predicting aircraft seat comfort using an artificial neural network

Predicting aircraft seat comfort using an artificial neural network

Association of Exposures to Seated Postures With Immediate Increases in Back Pain: A Systematic Review of Studies With Objectively Measured Sitting Time

Enhancing aircraft cabin comfort to compete with high‐speed trains: A survey in China

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