Literature DB >> 32292734

Anthropometric Estimations for Iranian General Population.

Mahnaz Saremi1,2, Mahnaz Kazemhaghighi2.   

Abstract

BACKGROUND: An essential requirement exists for a single exhaustive source of anthropometric databank in Iran. Available information about Iranian bodily dimensions is not applicable to the general population due to the sample of people investigated. This study aimed to present the first Iranian anthropometric databank by estimation.
METHODS: After a systematic review, 24 relevant sources of information were found and included. No time limit was considered. The method of Rapid Anthropometrics Scaled for Height was used.
RESULTS: Overall, 36 bodily dimensions were estimated, for which the seven percentiles of 1st, 5th, 25th, 50th, 75th, 95th, and 99th were calculated, stratified by sex.
CONCLUSION: The resulting tables can be claimed as the most representative anthropometric databank for Iranian general 20-64 yr population now. Data are suitable for practical purpose and are applicable in both occupational and community setting. Copyright© Iranian Public Health Association & Tehran University of Medical Sciences.

Entities:  

Keywords:  Anthropometry; Estimation; Iran

Year:  2019        PMID: 32292734      PMCID: PMC7145906     

Source DB:  PubMed          Journal:  Iran J Public Health        ISSN: 2251-6085            Impact factor:   1.429


Introduction

The main principle of ergonomics is to design the activity to match the characteristics of the user. On the other word, if an instrument, a workplace or a system is intended for human use, then its design should be based upon the characteristics of its human users. This principle, so-called “user-centered design”, could result in many enhancements in terms of functional efficiency, comfort, health, safety and quality of life (1). In contrast, the lack of incorporating anthropometric information in the design phase would result in an increase in the frequency of work-related injuries, as well as a decrease in human performance and well-being. However, human beings are not all the same. Their anthropometric (e.g. body size, shape strength, and endurance), physiological, Biomechanical and psychological characteristics differ from one to another. In addition, factors such as age, sex, race, job, diet, physical exercise and so on influence human body dimensions (1, 2). These variabilities need to be taken into account by designers in order to provide adequate adjustability of workstations, tools, products and human-machine interfaces. Because of the above mentioned human inter and intra-individual changes, the majority of developed and developing countries have produced their own anthropometric databank. Some examples include anthropometric data of Asian (3, 4), African (5, 6), European (7, 8) and American (9, 10) peoples. However, although publication of the first systematic anthropometric tables dated on 1950s, no anthropometric survey has yet been conducted on Iranian general population with regard to the occupational health application. Available data on this topic is mainly limited to Iranian industrial (11) and army (12) personnel which would not be presentative for the general population. Apart from its vital importance for designing various work stations and spaces, national anthropometric tables are required to fabricate any ease of use urban spaces such as public buildings, leisure facilities, general transportation services, and so on. Since anthropometric surveys are often costly and time-consuming, ergonomists prefer to prepare anthropometric databases based on more simple methods such as estimation rather than measurement. One of the most widely employed methods of estimation is that proposed by Barkla (13) and Roebuck et al. (14). Entitled “Rapid Anthropometrics Scaled for Height” (RASH) by Pheasant, this method was validated and employed to estimate British anthropometric database (15, 16). The RASH method requires only data on the stature (i.e. mean and standard deviation) of an unknown population to which scaling factors derived from a known homogeneous population is applied. The technique was used in some similar researches afterward all over the world (17, 18). An important need for appropriate anthropometric source on Iranian body characteristics exists among national ergonomists and designers. Recently, existed anthropometric data for Iranian population is not sufficiently comprehensive with respect to both sample size and representativeness (19). Therefore, the present study is the first attempt to provide a single comprehensive and representative source of anthropometric information on Iranian general population. Such data-bank is extensively applicable as a key element to provide ergonomic design requirements and to create products, hand tools, furniture, workstations, etc. as much fit as possible to the nation. In this regard, after an integrated review of related published literature, a dataset is assembled using the RASH method assumed to be sufficiently exhaustive and accurate for practical purpose; especially in terms of the creation of spaces in various public or industrial environments.

Materials and Methods

The method of RASH was applied for estimating anthropometric database of Iranian general population. This method is based on the assumption that although people vary greatly in size, they are likely to be similar in proportions (2). It requires only know the mean (m) and standard deviation (s) of stature of an unknown population (i.e. target population). Scaling factors for intended bodily dimensions would be calculated from a known population (i.e. reference population) and then applied to the height data in the target one. Coefficient em was calculated using following formula (15): Where x̄ is the mean value of the intended bodily dimension and h̄ is the mean stature in the reference population. Then, scaling ratio (Em) was obtained as arithmetic mean of em (15, 16): The same method was used for estimating coefficients (es) and scaling ratios (Es) related to the standard deviations. Calculations were made as a function of sex.

The reference population

Conducting a systematic review using Google Scholar, Medline, SID, IranMedex, Magiran, MedLib and Civilica, an integrative collection of ever published anthropometric datasets of Iranian adults was developed. No time limit was considered. This collection was considered as the reference population. Studies were included as a function of their aim and methodology. Therefore, cases hypothesized any relationship between body variables (e.g. weight, BMI, wrist circumferences, etc.) and health problems (obesity, diseases, etc.) or conducted on children were excluded. Repeated datasets (i.e. same data published in more than one source) were also removed. As presented in Table 1, altogether 24 sources of information were found.
Table 1:

The reference population

ReferencesSample sizeStudy population
1Shahnawaz and Davies (39)400Iranian steel workers
2Mououdi (21)179University students
3Abarghouie and HoseiniNasab (22)330Iranian adults
4Motamedzade et al. (38)303Iranian office workers
5Sadeghi and Habibi (23)95Bus drivers
6Vafaee et al. (24)115University students
7Mirmohammadi et al. (46)911University students
8Mohammadi et al. (26)70Iranian women
9Shokoohi H, Khoshroo (40)853Military personnel
10Osquei-Zadeh et al. (25)267University students
11Habibi et al. (47)768University students
12Abedini et al. (27)194University students
13Mououdi (28)178Iranian men
14Mohammadi et al. (29)140Iranian women
15Hemmatjoo et al. (30)80Military personnel
16Falahati et al. (31)70University students
17Ilbeigi et al. (32)120Iranian men
18Davoudiantalab et al. (33)400Iranian male workers
19Baharampour et al. (34)194University students
20Pourtaghi et al. (12)12635Military personnel
21Moshkdanian et al. (35)300Iranian adults
22Eftekhar Vaghefi et al. (36)1599Medical personnel
23Famil Alamdar and Famil Alamdar (37)144Iranian adults
24Sadeghi et al. (11)3720Iranian workers
The reference population

The target population

For the target population, we have selected recent nationwide surveillance on noncommunicable disease risk factors, which in our knowledge is the best representative of the general population in terms of sample size, age, sex, socio-economic, and geographical distribution. Using a random multistage cluster sampling method, the study measured, among other variables, stature of 79,611 Iranian rural and urban citizens (50.1% men; 49.9% women) aged from 20 to 64 yr with standardized and calibrated instruments (20).

Results

Scaling factors for 36 anthropometric estimations are presented in Table 2. Accordingly, stature has the highest ratios with eye and shoulders heights; and the smallest ratios with hand and foot breadths. Indeed, body dimensions of men and women are likely to follow a similar scaling profile (Table 2).
Table 2:

Scaling ratios for mean (Em) and standard deviation (Es) of 36 bodily dimensions

DimensionsWomenMen
EmEsnEmEsn
1Stature1.0001.00071.0001.00010
2Eye height0.9281.22470.9361.0219
3Shoulder height0.8291.27470.8350.9669
4Elbow height0.6241.11770.6290.76410
5Hip height0.5401.16540.5330.8555
6Knuckle height0.4210.98540.4580.5824
7Fingertip height0.3910.74650.4000.5856
8Sitting height0.5310.77970.5810.68511
9Sitting eye height0.4670.89760.5210.66710
10Sitting elbow height0.1510.75380.1520.46410
11Thigh thickness0.0870.53860.0860.3308
12Sitting shoulder height0.3740.91170.3600.4446
13Buttock knee length0.3501.02570.3370.5249
14Buttock to popliteal length0.2800.92480.2710.49911
15Knee height0.3060.60480.3060.51910
16Popliteal height0.2510.608100.2460.45111
17Shoulder breadth (bi-deltoid)0.2510.495100.2580.45212
18Shoulder breadth (bi-acromial)0.1990.89730.1980.5883
19Hip breadth0.2240.56290.2070.44910
20Chest depth0.1500.46280.1310.5089
21Abdominal depth0.1570.91760.1340.5278
22Shoulder elbow length0.2080.68180.2120.4438
23Elbow fingertip length0.2620.46640.2570.5904
24Upper limb length0.4460.78440.4720.8644
25Shoulder grip length0.3730.81650.3680.8554
26Head length0.1130.63840.1100.4605
27Head breadth0.0870.54040.0870.2535
28Hand length0.1070.45940.1090.1725
29Hand breadth0.0440.24550.0480.1186
30Foot length0.1450.22960.1510.2107
31Food breadth0.0530.18360.0540.1247
32Vertical grip reach (standing)1.1982.52541.2151.1715
33Vertical grip reach (sitting)0.7180.78730.8090.7834
34Forward grip reach0.4201.05250.4401.0204
35Span0.2540.53320.2710.4122
36Elbow span0.2570.72620.2690.5683

n=Number of available sources in each sex category;

Scaling ratios for mean (Em) and standard deviation (Es) of 36 bodily dimensions n=Number of available sources in each sex category; Tables 3 and 4 show anthropometric estimates calculated based on these scaling factors for men and women, respectively. Iranian men’s average height is estimated to be 1697 mm versus 1564 mm for female. The tallest Iranian man is about 348 mm taller than the shortest one; while the tallest Iranian woman is about 317 mm taller than the shortest woman is.
Table 3:

Anthropometric estimates for Iranian male adults (all dimensions in mm)

Dimensions1th5th25th50th75th95th99thSD
1Stature152315741647169717471820187175
2Eye height141014621536158816391713176576
3Shoulder height124812971368141614651535158572
4Elbow height9359741030106811061162120157
5Hip height7568008629059481010105464
6Knuckle height67670674877780784987944
7Fingertip height57760765067970975178144
8Sitting height86690195198610201070110551
9Sitting eye height768802851884918966100050
10Sitting elbow height17720123525828131533935
11Thigh thickness8910613014716318720425
12Sitting shoulder height53355658861163366568833
13Buttock knee length48150854657259863766339
14Buttock to popliteal length37239843445948452154637
15Knee height42945549351954558361039
16Popliteal height33936239541844047349634
17Shoulder breadth (bi-deltoid)35938241543846149451734
18Shoulder breadth (bi-acromial)23426430733736640943944
19Hip breadth27329632935137440743034
20Chest depth13416019722324828531138
21Abdominal depth13616320122725429231939
22Shoulder elbow length28330633836038241543733
23Elbow fingertip length33436440743746751054044
24Upper limb length65069475780184490795165
25Shoulder grip length47652058262566873077464
26Head length10613016418721024326734
27Head breadth10311613514716017819119
28Hand length15516317618519320621413
29Hand breadth6167768187961029
30Foot length22023124625726728329316
31Food breadth71778692981071149
32Vertical grip reach (standing)185919192004206321222207226788
33Vertical grip reach (sitting)123712771334137314121469150959
34Forward grip reach56962169574779887292476
35Span38841044046048151153231
36Elbow span35838742845748552655543
Table 4:

Anthropometric estimates for Iranian female adults (all dimensions in mm)

Dimensions1th5th25th50th75th95th99thSD
1Stature140514521518156416091676172268
2Eye height125813151396145215081589164683
3Shoulder height109511541238129613541439149887
4Elbow height79985192597610271101115376
5Hip height659713791844897974102879
6Knuckle height50254861365870376981467
7Fingertip height49452957861264669673051
8Sitting height70674279483086591795353
9Sitting eye height58963069073177283187361
10Sitting elbow height11715220223627032035551
11Thigh thickness507511113516019622137
12Sitting shoulder height44048354358562668772962
13Buttock knee length38543350154859466271070
14Buttock to popliteal length29233539643848054258563
15Knee height38241045047850554557441
16Popliteal height29732536539342146148941
17Shoulder breadth (bi-deltoid)31433737039341544847134
18Shoulder breadth (bi-acromial)17021127131235341245461
19Hip breadth26128732435037541343938
20Chest depth16218321423525628730831
21Abdominal depth10014220324528734739062
22Shoulder elbow length21825029532635740243446
23Elbow fingertip length33535738840943046148332
24Upper limb length57361066269773378582253
25Shoulder grip length45349154558362067471256
26Head length7610514817720624827843
27Head breadth517611213616119722237
28Hand length9511614716818921924031
29Hand breadth30415869809610817
30Foot length19020021622623625226216
31Food breadth536274839110311212
32Vertical grip reach (standing)1474159117581874198921562273172
33Vertical grip reach (sitting)99910351088112411591212124854
34Forward grip reach48953860865670477482372
35Span31233737239742145648136
36Elbow span28732136940243548451749
Anthropometric estimates for Iranian male adults (all dimensions in mm) Anthropometric estimates for Iranian female adults (all dimensions in mm)

Discussion

The main purpose of the present study was to estimate as much as comprehensive and accurate anthropometric database for Iranian adults which could be applicable in industrial and nonindustrial design. Assembling the totality of relevant published tables by means of the simple, rapid and valid method of RASH, this study was able to present the first single source of anthropometric information for Iranian general population. It is therefore not illogical to claim that the present set of estimations is the most valid representation of the anthropometrics of the Iranian general 20–64 yr people achieved now. The pioneer in using this method was Pheasant, who developed an anthropometric source for British civilian adults based on a combination of the main previously published datasets (15). For being representative, a sample should be an unbiased indication of the intended population. In the case of previously reported Iranian anthropometric datasets, one of the limitations face to the representativeness of data is that the sample size for about 80% of them is under 500 (21–39). Moreover, being conducted on the specified groups of industrial (11, 33, 39) or army (12, 30, 40) employees or in a specified location (32, 35), not across Iran, is the fact supporting the inaccuracy of using previous datasets for the general population. Anthropometric dimensions significantly differ between various occupational groups (41). Incorrect design of workplaces and products due to the lack of having access to an appropriate source of anthropometric databank could cause work-related physiological damages because of prolonged exposure to awkward postures. This could at least partly explain the high prevalence of musculoskeletal disorders in different Iranian industrial and nonindustrial sectors (42–45). Anthropometric dimensions should also be taken into consideration in the design of urban spaces such as public buildings, restaurants, hospitals and so on in order to provide an environment that supports the majority of residents especially with respect to some aspects such as clearance and reach. Some key anthropometric dimensions are “knee height”, “sitting height” and “arms reach” (1). A good anthropometric database should also be up-to-date. This feature is essential since human body characteristics vary over time and from generation to another. Our proposed set of estimations has the potential of being rapidly updated as soon as a more recent source of Iranian height would be available. Indeed, these data could be easily repeated for any sub-group of the general population. Errors associated with using this technique are small and would be considered as negligible, even in comparison with common interpretation errors or those arising from the corrections for shoes and cloths (16). However, one could suggest that this method is much better applicable to body dimensions which best depend on the length of bones than circumferential dimensions. If relevant, this may be considered as a limitation of this study.

Conclusion

Even though estimated data should be employed with prudence, but data prepared with this method is sufficiently reliable for many purposes (15). The application of the present anthropometric databank would be beneficial to better match the numerous manmade products and spaces with individual users. Therefore, a better match between national designs and Iranian users; as well as a more accurate evaluation of all products, machinery and spaces, either national or imported international ones, is expected. By means of integrating the presented tables into design phase, we hope national designers to provide greater safety, satisfaction and commonwealth for Iranian citizens.

Ethical considerations

Ethical issues (Including plagiarism, informed consent, misconduct, data fabrication and/or falsification, double publication and/or submission, redundancy, etc.) have been completely observed by the authors.
  15 in total

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2.  Ergonomic and anthropometric consideration for library furniture in an Iranian public university.

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3.  Student's Body Dimensions in Relation to Classroom Furniture.

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4.  Anthropometric profile of a black population of the Cape Peninsula in South Africa.

Authors:  K Steyn; L Bourne; P Jooste; J M Fourie; K Rossouw; C Lombard
Journal:  East Afr Med J       Date:  1998-01

5.  Low back pain among Iranian industrial workers.

Authors:  Mostafa Ghaffari; Akbar Alipour; Irene Jensen; Ali Asghar Farshad; Eva Vingard
Journal:  Occup Med (Lond)       Date:  2006-07-12       Impact factor: 1.611

6.  Anthropometric estimates for British civilian adults.

Authors:  S T Pheasant
Journal:  Ergonomics       Date:  1982-11       Impact factor: 2.778

7.  A technique for estimating anthropometric data from the parameters of the distribution of stature.

Authors:  S T Pheasant
Journal:  Ergonomics       Date:  1982-11       Impact factor: 2.778

8.  Anthropometric reference data for children and adults: United States, 2007-2010.

Authors:  Cheryl D Fryar; Qiuping Gu; Cynthia L Ogden
Journal:  Vital Health Stat 11       Date:  2012-10

9.  Work-related musculoskeletal disorders in truck drivers and official workers.

Authors:  Abolfazl Mozafari; Mostafa Vahedian; Siamak Mohebi; Mohsen Najafi
Journal:  Acta Med Iran       Date:  2015-07

10.  Waist Circumference, Weight, and Body Mass Index of Iranians based on National Non-Communicable Disease Risk Factors Surveillance.

Authors:  Sh Abbaszadeh Ahranjani; H Kashani; Mh Forouzanfar; Hr Aghaei Meybodi; B Larijani; M Aalaa; Mr Mohajeri-Tehrani
Journal:  Iran J Public Health       Date:  2012-04-30       Impact factor: 1.429

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