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
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May be used in Ergofellow software to identify musculoskeletal disorders that may effect on most common work postures for physically disabled workers.
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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.
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This data is of value to those who are doing research on product development especially during designing product ergonomically.
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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-140 mm, model 604 |
skinfold caliper | Harpenden skinfold caliper with a precision of +/- 0.2 mm, 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.
The discomfort questionnaire in ergo fellow software.
Fig. 2.
The statistical summaries of body measurements (cm) for physically disabled workers working in sitting position.
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
References
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Associated Data
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