Anthropometric measurements among four Asian countries in designing sitting and standing workstations

Rahman, Nurul Izzah Abd; Dawal, Siti Zawiah Md; Yusoff, Nukman; Kamil, Nabilla Sofia Mohd

doi:10.1007/s12046-017-0768-8

Cited by 35 publications

(24 citation statements)

References 16 publications

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“…The hand width was reported as 8.1 cm ve 7.2 cm in Malay males and females, respectively; whereas the same parameter was measured as 9.00 cm ve 8.00 cm in Indonesia males and females. The same parameter was declared as 9.80 cm ve 9.20 cm in Philippine males and females, while the hand width was 7.8 cm in Thai females, respectively (6,(27)(28)(29). In Nigerian population the same parameter was found as 9.73 cm and 9.00 cm in Hausa males and females; 9.57 cm and 9.22 cm in males and females in Nigeria Igbo region; 9.57 cm and 9.38 cm in Nigeria Yoruba male and female population (26).…”

Section: Discussionmentioning

confidence: 98%

“…The corresponding value was found as 20.62 cm in Hausa region, 20.22 cm in Igbo area and 19.55 cm in Yoruba region(26). In several papers from different populations, it was declared that the hand length value as 17.00±0.80 cm and 18.30±1.10 cm in Malay females and males(27); 18.00 cm and 19.00 cm Indonesia females and males; 17.00 and 19.00 cm in Singaporean females and males (28); 17.95±3.44 cm and 19.75±7.82 cm in Philippino females and males (6); 17.22±10.75 mm (R) -173.76±9.59 mm (L) and 192.86±10.74 mm-191.97±8…”

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confidence: 95%

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18-25 Yaş Arası Sağlıklı Kişilerde Üst Ekstremite Antropometrik Ölçümlerin Belirlenmesi

Polat

Kabakçı

Yücel

2019

Harran Üniversitesi Tıp Fakültesi Dergisi

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Background: The present study was aimed to analyze the morphometric measurements of upper extremity dimensions and estimate the total body surface area, hand and palm area in healthy subjects aged between 18-25 years. Materials and Methods: After taking hand tracing, the length and width measurements were performed, and hand-palm indexes were calculated from 407 adult subjects (243 females; 164 males) aged 18 to 25 years. Also, arm span, height and weight were measured. Additionally, total body surface area was calculated using DuBois Formula and hand and palm area was estimated from hand tracing and the percent of hand and palm surface area were formulated. Results: In females, the mean values of age, weight, height, BMI and arm span were found as 19.68±2.42 years, 55.96±8.32 kg, 164.12±5.93 cm and 20.79±3.03 kg/m2 and 1.60±0.06 m, respectively, whereas the same values were 20.22±3.40 years, 71.48±11.98 kg, 176.96±6.26 cm, 22.80±3.44 kg/m2, and 1.76±0.05 m, respectively in males. Moreover, the significant difference was found between measurements such as height, weight, body mass index and arm span and gender. Total body surface area was estimated as 1.88±0.16 m2 and 1.60±0.12 m2 in males and females, respectively. Also, hand area of males was found as 156.31±11.25 m2 and 154.71±11.92 m2 in right and left side, respectively, whereas the corresponding value of females was measured as 128.15±11.14 m2 and 125.56±10.80 m2 in right and left side, respectively. Palm area of males was estimated 88.30±8.11 m2 and 87.52±8.61 m2 in right and left side, respectively. The same values of females were 71.51±6.19 m2 and 70.24±1.60 m2 in right and left side, respectively. However, there were significant difference in measurements of hand area, palm area, total body surface area, the percents of hand and palm surface area between gender. The hand index was found as 42.33±2.97 (right), 41.67±2.91 (left) in females, whereas the same values were established as 41.95±3.56 (right) and 42.03±2.64 (left) in males. Conclusions: The observations presented in present study, can provide principal knowledge about anatomic parameters. They need to be taken into consideration when surgical procedures are performed in hand region for female and male population. Also, the total body surface area, the percents of hand and palm surface area, hand and palm area values help to determine burns area, or extent of burn and wounds. Moreover, we can say that differences between measurements can depend on some factors such as gender, age, race, ethnic groups, geographical situations.

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Section: Discussionmentioning

confidence: 98%

mentioning

confidence: 95%

18-25 Yaş Arası Sağlıklı Kişilerde Üst Ekstremite Antropometrik Ölçümlerin Belirlenmesi

Polat

Kabakçı

Yücel

2019

Harran Üniversitesi Tıp Fakültesi Dergisi

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“…Ethnicity has been reported to be influential for both body proportion and body composition 21 , 22 . In addition, anthropometry differences exist between ethnic groups 23 , 24 . Within Southeast Asia, populations from neighbouring countries have different body dimensions 23 , 25 , and so do people of historically highly associated ethnic groups in East Asia 24 .…”

Section: Background and Summarymentioning

confidence: 99%

An Asian-centric human movement database capturing activities of daily living

et al. 2020

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Assessment of human movement performance in activities of daily living (ADL) is a key component in clinical and rehabilitation settings. Motion capture technology is an effective method for objective assessment of human movement. Existing databases capture human movement and ADL performance primarily in the Western population, and there are no Asian databases to date. This is despite the fact that Asian anthropometrics influence movement kinematics and kinetics. This paper details the protocol in the first phase of the largest Asian normative human movement database. Data collection has commenced, and this paper reports 10 healthy participants. Twelve tasks were performed and data was collected using Qualisys motion capture system, force plates and instrumented table and chair. In phase two, human movement of individuals with stroke and knee osteoarthritis will be captured. This can have great potential for benchmarking with the normative human movement captured in phase one and predicting recovery and progression of movement for patients. With individualised progression, it will offer the development of personalised therapy protocols in rehabilitation.

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“…4. All in all, the variations in body dimension of each population in different countries such as age, gender and body type could contribute to significant difference in anthropometric data [26,27,28]. Based from the average pressure distribution value and their relationship with some of anthropometry data, it is known that local anthropometry data may be used to providing comfortness in seat design.…”

Section: Fig 4-correlation Between Average Pressure At the Car Seat mentioning

confidence: 99%

Relationship between Driver’s Dynamic Pressure Distribution with their Anthropometric Variables on Car Seat under PavedRoad

Tahir¹,

Khamis²,

Sabri³

et al. 2020

IJIE

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Driving is a task that requires physical and emotional demands of the driver to control the car while sitting. The driver's condition may be affect due to this repetitive driving task, which can be determined through the performance of alertness, signs of discomfort as well as fatigue level experience by the driver. Past studies showed that anthropometric variable is one of the factor in determining human's performance while performing an activity. However, there is still a lack of systematic explanation on how it relates to driving activity under different road conditions. Thus, this research objectives to determine the relationship between selected driver's anthropometric variables with dynamic pressure distribution experienced on the car seat while driving on paved road under normal driving task. A total of 44 subjects participated in this study. Tactilus pressure sensor was used to record the pattern of pressure distribution while driving. Based on the finding, there is a mild correlation with r=0.61 and (R 2 = 0.38) between dynamic pressure on the right thigh with height and weight of the subject. The study revealed that nearly 40 percent of the variance in the dynamic pressure on the left thigh is predictable from the height and weight of the subject.

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Anthropometric measurements among four Asian countries in designing sitting and standing workstations

Cited by 35 publications

References 16 publications

18-25 Yaş Arası Sağlıklı Kişilerde Üst Ekstremite Antropometrik Ölçümlerin Belirlenmesi

18-25 Yaş Arası Sağlıklı Kişilerde Üst Ekstremite Antropometrik Ölçümlerin Belirlenmesi

An Asian-centric human movement database capturing activities of daily living

Relationship between Driver’s Dynamic Pressure Distribution with their Anthropometric Variables on Car Seat under PavedRoad

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