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. 2020 Mar 12;30:105420. doi: 10.1016/j.dib.2020.105420

A data set on anthropometric measurements and degree of discomfort of physically disabled workers for ergonomic requirements in work space design

Mahmoud Z Mistarihi 1
PMCID: PMC7113429  PMID: 32258282

Abstract

Workers movements and their body mechanics during work, design of tools as well as work layout is important to fit the task to match differences between human capabilities. The data set examined 40 physically disabled workers from different areas and background in Jordan. It consists of anthropometric measurements that are categorized into 7 key measures namely: weight, stature, hip height, knee height, elbow height, hand length and Elbow-fingertip length. Also, it includes information on the most parts that cause pain for the same participants using the discomfort questionnaire. The dataset supports the article " An integration of a QFD model with Fuzzy-ANP approach for determining the importance weights for engineering characteristics of the proposed wheelchair design"[1]. The obtained dataset can also be used to support an ergonomic and bio-mechanical evaluation performance of physically disabled workers as well as using it in conjunction with ISO standards for equipment design and safety. Moreover, This dataset is useful for optimizing the dimensions’ design for the physically disabled workplace as well as preparing the House of Quality to prioritize the final design requirements.

Keywords: Anthropometric measurements, Discomfort questionnaire, Physically disabled workers, Work space design, Ergofellow software


Specifications table

Subject area Ergonomics and human engineering
More specific subject area Anthropometry and work space design
Type of data Tables, figures
How data was acquired Measurement instruments, Ergofellow software, Discomfort questionnaire
Data format Raw and analyzed
Parameters for data collection 40 physically disabled workers (20–40 years age range)were considered for the analysis and the anthropometric measurements are categorized into 7 key measures namely: weight, stature, hip height, knee height, elbow height, hand length and Elbow-fingertip length
Description of data collection The anthropometric data were obtained from 40 physically disabled workers using: Stadiometers, Bicondylar Harpenden skinfold caliper and Digtal Bathroom Scale. Also, systematic measurements of the human body using Anthropometry component within the Ergofellow software as well as the discomfort questionnaire.
Data source location Jordan.
Latitude and longitude: 30.5852° N, 36.2384° E
Data accessibility Data are included in this article
Related research article Mistarihi M et al., 2020 "An integration of a QFD model with Fuzzy-ANP approach for determining the importance weights for engineering characteristics of the proposed wheelchair design, Applied Soft Computing, Volume 90, https://doi.org/10.1016/j.asoc.2020.106136.

Value of the data

  • May be used in Ergofellow software to identify musculoskeletal disorders that may effect on most common work postures for physically disabled workers.

  • It can be used in Quality Function Deployment (QFD) applications to transfer the Voice Of Customers (VOC) into Engineering Characteristics for a product such as a disabled wheelchair.

  • This data is of value to those who are doing research on product development especially during designing product ergonomically.

  • The data set can be used by researchers to calculate stress, strain and displacement analysis using SOLIDWORK for any related product design such as a disabled wheelchair.

1. Data

The data shared here are tables and figures presenting information on anthropometric measurements and the discomfort questionnaire of the human body for physically disabled workers. Also, the data supports a research paper in product design, development and assessment [1]. Anthropometry is the science which concerns with the human body dimensions and physical characteristics. Human factors engineers are always in need to Anthropometry to improve their everyday consumer products to enhance the work environment, making it safer and more comfortable [2]. The data are intended for use in conjunction with ISO standards for equipment design and safety. Characteristics of the measuring devices used in getting the anthropometric data are shown in Table 1. Table 2 illustrates the degree of complain at different parts of the body related to the discomfort questionnaire for the 40 physically disabled workers. Table 3 shows anthropometric measurements with 7 key measures namely: weight, stature, hip height, knee height, elbow height, hand length and Elbow-fingertip length. Descriptive statistics for anthropometric measurements of physically disabled workers are presented in Table 4. Fig. 1 presents the discomfort questionnaire in ergofellow that can identify parts of muscle or joint which are more effected based on the Nordic Body Map [3]. Figs. 2 shows the statistical summaries of body measurements for physically disabled workers working in sitting position. Fig. 3 demonstrates a comparison between different disabled wheelchairs designs according to Posture Evaluating Index (PEI), as well as Work Evaluation Index (WEI).

Table 1.

Characteristics of the measuring devices used in getting the anthropometric data.

Tool Characteristics
Stadiometers seca Portable model 213
Bicondylar Caliper Holtain Bicondylar Caliper measuring range 0mm-140mm, model 604
skinfold caliper Harpenden skinfold caliper with a precision of +/- 0.2mm, model C-120B
Scale EatSmart Precision CalPal Digtal Bathroom Scale, model ESBS-52

Table 2.

The degree of complaint at different parts of the body related to the discomfort questionnaire.

Number location Average degree of compliant
1–5
0 Pain in the upper neck 4
1 Pain in the lower neck 4
2 Pain in the left shoulder 3
3 Pain in the right shoulder 3
4 Pain in the left upper arm 2
5 Pain in the back 5
6 Pain in the right upper arm 3
7 Pain in the wrist 3
8 Pain in the buttock 2
9 Pain in the bottom 2
10 Pain in the left elbow 4
11 Pain in the right elbow 4
12 Pain in the left lower arm 3
13 Pain in the right lower arm 3
14 Pain in the left wrist 4
15 Pain in the right wrist 4
16 Pain in the left hand 3
17 Pain in the right hand 3
18 Pain in the left thigh 2
19 Pain in the right thigh 2
20 Pain in the left knee 3
21 Pain in the right knee 3
22 Pain in the left calf 4
23 Pain in the right calf 4
24 Pain in the left ankle 2
25 Pain in the right ankle 2
26 Pain in the left foot 4
27 Pain in the right foot 4

Table 3.

Anthropometric measurements of physically disabled workers.

no Weight (Kg) Stature (cm) Elbow-fingertip length (cm) Elbow height (mm) Hand length (mm) Knee height (cm) Hip height (cm)
1 65 170 44 114 166 53 100
2 54 175 45 120 178 52 106
3 73 166 42 110 173 50 92
4 85 163 41 109 169 46 90
5 77 170 43 113 170 50 100
6 67 167 45 109 168 49 98
7 53 162 44 100 167 47 96
8 85 166 41 107 170 50 93
9 80 165 43 107 170 50 90
10 47 155 42 104 167 45 88
11 50 167 43 112 173 50 93
12 73 169 44 110 164 50 96
13 69 165 42 109 162 55 98
14 72 158 41 107 165 49 93
15 50 170 44 114 170 53 100
16 75 163 43 104 167 50 98
17 75 162 41 104 166 50 92
18 58 170 43 109 173 54 102
19 66 162 42 103 165 50 90
20 76 153 40 102 164 45 87
21 65 170 42 114 166 50 99
22 54 163 45 120 178 52 106
23 73 166 44 109 173 46 93
24 85 175 41 110 169 53 90
25 79 170 44 112 168 52 99
26 67 166 45 109 168 50 98
27 53 162 44 97 167 47 96
28 83 167 40 107 170 50 93
29 77 165 43 107 172 49 91
30 53 160 42 100 167 47 88
31 49 167 43 112 173 50 93
32 70 169 43 113 162 52 95
33 70 160 43 106 160 53 99
34 72 155 41 107 165 49 93
35 50 170 41 112 169 53 100
36 75 163 43 104 168 50 98
37 75 162 41 104 166 50 91
38 58 169 43 111 171 52 99
39 66 163 44 104 165 52 93
40 76 157 40 101 166 45 88

Table 4.

Descriptive statistics for anthropometric measurements of physically disabled workers.

No Weight (Kg) Stature (cm) Elbow-fingertip length (cm) Elbow height (mm) Hand length (mm) Knee height (cm) Hip height (cm)
Mean 67.5 164.9 42.6 108.2 168.3 50 95.1
SD 11.2 5.0 1.4 5.0 3.9 2.5 4.7
5th% tile 49.9 155 40 100 162 45 88
95th% tile 85 170.3 45 114.3 173.3 53.1 102.2

Fig. 1.

Fig 1

The discomfort questionnaire in ergo fellow software.

Fig. 2.

Fig 2

The statistical summaries of body measurements (cm) for physically disabled workers working in sitting position.

Fig. 3.

Fig 3

Comparison between different disabled wheelchairs design according to Posture Evaluating Index (PEI), as well as Work Evaluation Index (WEI).

2. Experimental design, materials, and methods

Physically disabled workers resident in different areas of Irbid governorate, Jordan were invited to take part in this data paper. From the 157 physically disabled workers who agreed to participate, 40 workers were selected using a simple random sampling. All of these participants were aware of the objective of doing such a research in reducing the musculoskeletal disorders via product design and development. Data was available for 40 actual participants in age range of 20–40 years old.

Anthropometric methods were used to measure the dimensions of physically disabled worker's body and some of its parts, as well as the correlations between these dimensions. The materials used to get the anthropometric data are: Stadiometers, Bicondylar Caliper, skinfold caliper and Scale. The characteristics of these measuring tools are shown in Table 1. Also, systematic measurements of the human body using Anthropometry component within the Ergofellow software [4] as well as the discomfort questionnaire.

The Cornell Musculoskeletal Discomfort Questionnaire (CMDQ) (Fig. 1) has been adapted here with Nordic Body Map. It is similar in many respects to the discomfort surveys used by the National Institute for Occupational Safety and Health (NIOSH) [5]. Actually, it divides body parts into numbering from 0 to 27 covering the whole body from neck to feet. It is based on previous postural discomfort surveys and it has high face validity. It is for research screening purposes and should not be used as a diagnostic instrument. The validity of the diagnosis in this data paper can be tested in any comparative examination of responses to clinical reports [6].

Acknowledgments

The author is extremely grateful to all physically disabled workers who took place in this data paper.

Conflict of Interest

The author declares that he has no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Footnotes

Supplementary material associated with this article can be found, in the online version, at doi:10.1016/j.dib.2020.105420.

Appendix. Supplementary materials

mmc1.xml (320B, xml)
mmc2.pdf (11.7KB, pdf)

References

  • 1.Mistarihi M.Z., Okour R.A., Mumani A.A. An integration of a QFD model with Fuzzy-ANP approach for determining the importance weights for engineering characteristics of the proposed wheelchair design. Appl. Soft Comput. 2020;90 [Google Scholar]
  • 2.Sanders S., McCormick J. McGraw-Hill; 1987. Human Factors in Engineering and Design. [Google Scholar]
  • 3.Hedge A., Morimoto S., McCrobie D. Effects of keyboard tray geometry on upper body posture and comfort. Ergonomics. 1999;42(10):1333–1349. doi: 10.1080/001401399184983. [DOI] [PubMed] [Google Scholar]
  • 4.Stephanidis C. CRC Press; 2000. User Interfaces For all: Concepts, Methods, and Tools. [Google Scholar]
  • 5.Stanton N.A. CRC press; 2004. Handbook of Human Factors and Ergonomics Methods. [Google Scholar]
  • 6.Wahyudi M.A., Dania W.A., Silalahi R.L. Work posture analysis of manual material handling using OWAS method. Agric. Agric. Sci. Procedia. 2015;3:195–199. [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

mmc1.xml (320B, xml)
mmc2.pdf (11.7KB, pdf)

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