Differences in the body pressure-related sensory changes between the floor and mattress in a static supine position for physiotherapy research: a randomized controlled pilot trial

Lee, Won-Deok; Lee, Jeong-Uk; Kim, Mee-Young; Lee, Lim-Kyu; Park, Byoung-Sun; Yang, Seung-Min; Noh, Ji-Woong; Shin, Yong-Sub; Kim, Ju-Hyun; Kwak, Taek-Yong; Lee, Tae-Hyun; Park, Jaehong; Kim, Junghwan

doi:10.1589/jpts.28.1086

Cited by 10 publications

(7 citation statements)

References 26 publications

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“…The average pressure gradient of the above samples was in the middle of the overall ranking and showed a certain degree of clustering. The conclusion here supports the findings of Lee [ 34 ] and Chen [ 35 ]; namely, a pressure distribution that is too concentrated or too uniform reduces the comfort. It is reasonable to control the average pressure gradient between 0.2 and 0.4 kPa/cm 2 .…”

Section: Multi-partition Support Model Construction and Prototype Prosupporting

confidence: 92%

Pillow Support Model with Partitioned Matching Based on Body Pressure Distribution Matrix

et al. 2021

Healthcare

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(1) Objective: Sleep problems have become one of the current serious public health issues. The purpose of this research was to construct an ideal pressure distribution model for head and neck support through research on the partitioned support surface of a pillow in order to guide the development of ergonomic pillows. (2) Methods: Seven typical memory foam pillows were selected as samples, and six subjects were recruited to carry out a body pressure distribution experiment. The average value of the first 10% of the samples in the comfort evaluation was calculated to obtain the relative ideal body pressure distribution matrix. Fuzzy clustering was performed on the ideal matrix to obtain the support surface partition. The ideal body pressure index of each partition was calculated, and a hierarchical analysis of each partition was then performed to determine the pressure sensitivity weight of each partition. Using these approaches, the key ergonomic node coordinates of the partitions of four different groups of people were extracted. The ergonomic node coordinates and the physical characteristics of the material were used to design a pillow prototype. Five subjects were recruited for each of the four groups to repeat the body pressure distribution experiment to evaluate the pillow prototype. (3) Results: An ideal support model with seven partitions, including three partitions in the supine position and four partitions in the lateral position, was constructed. The ideal body pressure distribution matrix and ideal body pressure indicators and pressure sensitivity weights for each partition were provided. The pillow that was designed and manufactured based on this model reproduced the ideal pressure distribution matrix evaluated by various groups of people. (4) Conclusion: The seven-partition ideal support model can effectively describe the head and neck support requirements of supine and lateral positions, which can provide strong support for the development of related products.

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Section: Multi-partition Support Model Construction and Prototype Prosupporting

confidence: 92%

Pillow Support Model with Partitioned Matching Based on Body Pressure Distribution Matrix

et al. 2021

Healthcare

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“…Therefore, the perception of pain or comfort is believed to be strongly related to the perception of pressure (López-Torres et al, 2008). The body pressure measurement system was characterized by thin and flexible sheet sensors that only minimally interfered with the mattress support (Chen et al, 2014; Lee et al, 2015, 2016; Low et al, 2017). Yet, the sensors may disperse the concentrated pressure and thus underestimate the peak pressure.…”

Section: Resultsmentioning

confidence: 99%

“…Additionally, Esquirol Caussa et al (2017) and Palmero et al (2017) concluded that a soft topper should be implemented when more than three points with pressure exceeding 60 mmHg are present, while a medium-density pillow should be used when the maximum pressure at the occipital region falls between 30 and 40 mmHg. Conversely, several authors opposed this view by showing that high pressure and discomfort should not necessarily be correlated (Lahm & Iaizzo, 2002; Lee et al, 2016). Chen et al (2014) commented that to achieve better sleep quality, the body pressure distribution should neither be over-concentrated nor over-distributed.…”

Section: Resultsmentioning

confidence: 99%

“…In fact, in relevant studies, measurement were performed at the fingernail fold (De Graaff et al, 2002). Lee et al (2015, 2016) demonstrated that different body regions feature different pressure sensitivity and tolerability, highlighting the need to establish a reference quantitative range of acceptable pressure at different body regions for mattress design.…”

Section: Resultsmentioning

confidence: 99%

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Sleeping mattress determinants and evaluation: a biomechanical review and critique

Wong

Yan

Lin

et al. 2019

PeerJ

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BackgroundSleeping mattress parameters significantly influence sleeping comfort and health, as reflected by the extensive investigations of sleeping support biomechanics to prevent sleep-related musculoskeletal problems.MethodologyHerein, we review the current trends, research methodologies, and determinants of mattress biomechanics research, summarizing evidence published since 2008. In particular, we scrutinize 18 articles dealing with the development of new designs, recommendation criteria, instruments/methods of spine alignment evaluation, and comparative evaluation of different designs.ResultsThe review demonstrated that mattress designs have strived for customization, regional features, and real-time active control to adapt to the biomechanical features of different body builds and postures. However, the suggested threshold or target values for desirable spine alignment and body pressure distribution during sleep cannot yet be justified in view of the lack of sufficient evidence.ConclusionsIt is necessary to formulate standard objectives and protocols for carrying out mattress evaluation.

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“…1 ). Second, it is known that the body interface pressure at the occipital area increases significantly when an individual is in the supine position 28 (Fig. 2 ), and it is also well known that the occipital area is an anatomical site at which pressure ulcers often occur, especially in patients who have experienced spinal cord injury 29 , 30 .…”

Section: Discussionmentioning

confidence: 99%

Risk factors for deep surgical site infection after posterior cervical spine surgery in adults: a multicentre observational cohort study

Ogihara

Yamazaki

Shiibashi

et al. 2021

Sci Rep

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Surgical site infection (SSI) is a serious complication following spine surgery and is correlated with significant morbidities, poor clinical outcomes, and increased healthcare costs. Accurately identifying risk factors can help develop strategies to reduce this devastating consequence; however, few multicentre studies have investigated risk factors for SSI following posterior cervical spine surgeries. Between July 2010 and June 2015, we performed an observational cohort study on deep SSI in adult patients who underwent posterior cervical spine surgery at 10 research hospitals. Detailed patient- and procedure-specific potential risk variables were prospectively recorded using a standardised data collection chart and were reviewed retrospectively. Among the 2184 consecutive adult patients enrolled, 28 (1.3%) developed postoperative deep SSI. Multivariable regression analysis revealed 2 statistically significant independent risk factors: occipitocervical surgery (P < 0.001) and male sex (P = 0.024). Subgroup analysis demonstrated that occipitocervical surgery (P = 0.001) was the sole independent risk factor for deep SSI in patients with instrumented fusion. Occipitocervical surgery is a relatively rare procedure; therefore, our findings were based on a large cohort acquired using a multicentre study. To the best of our knowledge, this is the first study to identify occipitocervical procedure as an independent risk variable for deep SSI after spinal surgery.

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Differences in the body pressure-related sensory changes between the floor and mattress in a static supine position for physiotherapy research: a randomized controlled pilot trial

Cited by 10 publications

References 26 publications

Pillow Support Model with Partitioned Matching Based on Body Pressure Distribution Matrix

Pillow Support Model with Partitioned Matching Based on Body Pressure Distribution Matrix

Sleeping mattress determinants and evaluation: a biomechanical review and critique

Risk factors for deep surgical site infection after posterior cervical spine surgery in adults: a multicentre observational cohort study

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