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BMC Public Health
Published in: BMC Public Health 1/2024

Open Access 01-12-2024 | Research

The Ergonomic Behaviors Evaluation Tool (EBET) based on social cognitive theory for the assembly line workers: development and psychometric assessment

Authors: Zakieh Sadat Hosseini, Sedigheh Sadat Tavafian, Omran Ahmadi, Reza Maghbouli

Published in: BMC Public Health | Issue 1/2024

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Abstract

Background

Ergonomic behaviors play a crucial role in preventing work-related musculoskeletal disorders (WMSDs). To measure these behaviors, this research aimed to develop and evaluate an ergonomic behaviors tool (EBET) based on the Social Cognitive Theory (SCT) among women workers on assembly lines (WwAL).

Methods

The study was conducted from December 2022 to January 2023 with a focus on the psychometric assessment of EBET. Initially, a literature review and interviews were carried out to identify crucial concepts and primary items. The questionnaire’s validity was evaluated using the Content Validity Ratio (CVR) and the Content Validity Index (CVI). To determine the domains of the tool, construct validity was examined by administering the items to 270 eligible women. The reliability of the tool was assessed using McDonald’s Omega coefficient.

Results

From a total of 67 primary items, 50 were confirmed. The study demonstrated good validity with CVR = 0.92 and CVI = 0.97, along with reliable results indicated by McDonald’s Omega coefficient of 0.74. The exploratory factor analysis (EFA) revealed ten distinct dimensions: outcome expectations, outcome expectancies, normative beliefs, perceived barriers, social support, observational learning, reinforcement, behavioral skills, self-efficacy, and intention. Together, these dimensions accounted for 66.25% of the variance in the data. Additionally, the confirmatory factor analysis results supported the presence of these ten constructs and demonstrated a satisfactory fit.

Conclusions

EBET is a dependable and valid instrument for evaluating the ergonomic behaviors of workers, utilizing the principles of SCT. Researchers can employ EBET to gather data and implement suitable training interventions to enhance ergonomic behavior among WwAL. However, it is crucial to recognize that EBET may not encompass all facets of ergonomic behaviors. Therefore, it is imperative for future research to prioritize the evaluation of EBET’s suitability among diverse worker populations and to consider additional dimensions of ergonomics to ensure its wider applicability and effectiveness.
Literature
1.
Lotfollahzadeh A, Arefi MF, Gurjan HE, Razagari N, Ebadi B, Babaei-pouya A. musculoskeletal disorders among healthcare network staff using rapid office strain assessment (2019). Int J Musculoskelet Pain Prev. 2019;4:270–6.CrossRef
2.
Sanaeinasab H, Saffari M, Valipour F, Alipour HR, Sepandi M, Al Zaben F, et al. The effectiveness of a model-based health education intervention to improve ergonomic posture in office computer workers: a randomized controlled trial. Int Arch Occup Environ Health. 2018;91:951–62.PubMedCrossRef
3.
Putsa B, Jalayondeja W, Mekhora K, Bhuanantanondh P, Jalayondeja C. Factors associated with reduced risk of musculoskeletal disorders among office workers: a cross-sectional study 2017 to 2020. BMC Public Health. 2022;22:1–11.CrossRef
4.
Bao S, Howard N, Lin J-H. Are work-related musculoskeletal disorders claims related to risk factors in workplaces of the manufacturing industry? Ann Work Expo Heal. 2020;64:152–64.CrossRef
5.
Das D, Kumar A, Sharma M. A systematic review of work-related musculoskeletal disorders among handicraft workers. Int J Occup Saf Ergon. 2020;26:55–70.PubMedCrossRef
6.
Arghami S, Kalantari R, AhmadiKionani E, ZanjiraniFarahani A, Kamrani M. Assessing prevalence of musculoskeletal disorders in women workers in an automobile manufacturing assembly line. J Hum Environ Health Promot. 2016;12:75–9.
7.
Cieza A, Causey K, Kamenov K, Hanson SW, Chatterji S, Vos T. Global estimates of the need for rehabilitation based on the Global Burden of Disease study 2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet. 2020;396:2006–17.PubMedPubMedCentralCrossRef
8.
Parno A, Sayehmiri K, Amjad RN, Ivanbagha R, Ahagh MMH, Foladi SH, et al. Meta-analysis study of work-related musculoskeletal disorders in Iran. Arch Rehabil. 2020;21:182–205.CrossRef
9.
Emmatty FJ, Panicker VV. Ergonomic interventions among waste collection workers: A systematic review. Int J Ind Ergon. 2019;72:158–72.CrossRef
10.
Denadai MS, Alouche SR, Valentim DP, Padula RS. An ergonomics educational training program to prevent work-related musculoskeletal disorders to novice and experienced workers in the poultry processing industry: a quasi-experimental study. Appl Ergon. 2021;90:103234.PubMedCrossRef
11.
Khalili Z, Tosanloo MP, Safari H, Khosravi B, Zakerian SA, Servatian N, et al. Effect of educational intervention on practicing correct body posture to decrease musculoskeletal disorders among computer users. J Educ Health Promot. 2018;7:166.PubMedPubMedCentral
12.
de Souza DSF, da Silva JMN, de Oliveira Santos JV, Alcantara MSB, Torres MGL. Influence of risk factors associated with musculoskeletal disorders on an inner population of northeastern Brazil. Int J Ind Ergon. 2021;86:103198.CrossRef
13.
Bodin J, Garlantézec R, Costet N, Descatha A, Viel JF, Roquelaure Y. Shoulder pain among male industrial workers: Validation of a conceptual model in two independent French working populations. Appl Ergon. 2020;85:103075.PubMedCrossRef
14.
Mbasahel A. Ergonomics factors, mental and physical loads among health-care workers. Int J Adv Res. 2019;30(7):321–30.CrossRef
15.
Susihono W, Adiatmika IPG. The effects of ergonomic intervention on the musculoskeletal complaints and fatigue experienced by workers in the traditional metal casting industry. Heliyon. 2021;7:e06171.PubMedPubMedCentralCrossRef
16.
Masterizki HG, Armanu A, Irawanto DW. How ergonomic factors contribute to employees’performance. J Aplikasi Manajemen. 2019;17(2):227–34.CrossRef
17.
Muyor JM, López-Miñarro PA, Casimiro AJ. Effect of stretching program in an industrial workplace on hamstring flexibility and sagittal spinal posture of adult women workers: a randomized controlled trial. J Back Musculoskelet Rehabil. 2012;25(3):161–9.PubMedCrossRef
18.
Moazzami Z, Dehdari T, Taghdisi MH, Soltanian A. Effect of an ergonomics-based educational intervention based on transtheoretical model in adopting correct body posture among operating room nurses. Glob J Health Sci. 2016;8:26.CrossRef
19.
Romeo AV, Edney SM, Plotnikoff RC, Olds T, Vandelanotte C, Ryan J, et al. Examining social-cognitive theory constructs as mediators of behaviour change in the active team smartphone physical activity program: a mediation analysis. BMC Public Health. 2021;21:1–11.CrossRef
20.
Akbari-Chehrehbargh Z, Sadat Tavafian S, Montazeri A. The Back-care Behavior Assessment Questionnaire (BABAQ) for schoolchildren: development and psychometric evaluation. BMC Public Health. 2020;20:1–10.CrossRef
21.
Jeng B, Cederberg KLJ, Huynh TL, Silic P, Jones CD, Feasel CD, et al. Social cognitive theory variables as correlates of physical activity in fatigued persons with multiple sclerosis. Mult Scler Relat Disord. 2022;57:103312.PubMedCrossRef
22.
Kwon T, Shin S, Shin M. The effect of observational learning on self-efficacy by sport competition condition, performance level of team members, and whether you win or lose. Int J Environ Res Public Health. 2022;19:10148.PubMedPubMedCentralCrossRef
23.
Aje OO, Smith-Campbell B, Bett C. Preventing musculoskeletal disorders in factory workers: evaluating a new eight minute stretching program. Workplace Health Saf. 2018;66(7):343–7.PubMedCrossRef
24.
Sharma H. How short or long should be a questionnaire for any research? Researchers dilemma in deciding the appropriate questionnaire length. Saudi J Anaesth. 2022;16:65.PubMedPubMedCentralCrossRef
25.
López-Belmonte J, Pozo-Sánchez S, Lampropoulos G, Moreno-Guerrero AJ. Design and validation of a questionnaire for the evaluation of educational experiences in the metaverse in Spanish students (METAEDU). Heliyon. 2022;8(11):e11364.PubMedPubMedCentralCrossRef
26.
Abdollahi T, PedramRazi S, Pahlevan D, Yekaninejad MS, Amaniyan S, LeiboldSieloff C, et al. Effect of an ergonomics educational program on musculoskeletal disorders in nursing staff working in the operating room: A quasi-randomized controlled clinical trial. Int J Environ Res Public Health. 2020;17:7333.PubMedPubMedCentralCrossRef
27.
Glanz K, Rimer BK, KV. Health behavior: theory, research, and practice, 5th Ed. 2015. pp. 182–219.
28.
Andishe S, Jafari MJ, Khodakarim S, Salehi A. The Psychometrics of questionnaires designed for the evaluation of safety levels and safety culture. Int J Occup Hyg. 2021;13:337–46.
29.
Shojaei S, Tavafian SS, Jamshidi AR, Wagner J, Sepahvandi MR. Social cognitive theory-based intervention and low back pain among health care workers in Qom hospitals of Iran. IJMPP. 2017;2:193–201.
30.
Buruck G, Tomaschek A, Wendsche J, Ochsmann E, Dörfel D. Psychosocial areas of worklife and chronic low back pain: a systematic review and meta-analysis. BMC Musculoskelet Disord. 2019;20:1–16.CrossRef
31.
Villotti P, Corbiere M, Dewa CS, Fraccaroli F, Sultan-Taieb H, Zaniboni S, et al. A serial mediation model of workplace social support on work productivity: the role of self-stigma and job tenure self-efficacy in people with severe mental disorders. Disabil Rehabil. 2018;40(26):3113–9.PubMedCrossRef
32.
Henry A, Tourbah A, Camus G, Deschamps R, Mailhan L, Castex C, et al. Anxiety and depression in patients with multiple sclerosis: The mediating effects of perceived social support. Mult Scler Relat Disord. 2019;27:46–51.PubMedCrossRef
33.
Nematollahi M, Eslami AA. Development and psychometric properties of a calcium intake questionnaire based on the social cognitive theory (CIQ-SCT) for Iranian women. Heal Promot Perspect. 2017;8:54–62.CrossRef
34.
Bujang MA, Khee HY, Yee LK. A step-by-step guide to questionnaire validation research. Malaysia: Institute for Clinical Research, NIH; 2022.
35.
Hoe SL. Issues and procedures in adopting structural equation modelling technique. J Quant Methods. 2008;3:76.
36.
Ahmadpour-Geshlagi R, Akbarinia GR, Gillani N, Karimkhani F, Alizadeh SS, Nazari J. Development and psychometric assessment an instrument for investigating women’s attitude toward home safety. BMC Public Health. 2022;22(1):948.PubMedPubMedCentralCrossRef
37.
Plichta SB, Kelvin EA. Munro’s statistical methods for health care research. 2013.
38.
Lyu X, Yang T, Fan Y, Hong H, Fu C. Evaluation of the reliability and validity of the health regulatory focus scale in Chinese samples. Front Psychol. 2023;14:1215209.
39.
Costello A, Osborne J. Best practices in exploratory factor analysis: four recommendations for getting the most from your analysis. Pract Assess Res Eval. 2019;23:10.7.
40.
Ma G, Yö Ö. Item removal strategies conducted in exploratory factor analysis: A comparative study. Int J Assess Tool Educ. 2022;91:165–80.
41.
Marsh HW, Guo J, Dicke T, Parker PD, Craven RG. Confirmatory factor analysis (CFA), exploratory structural equation modeling (ESEM), and set-ESEM: Optimal balance between goodness of fit and parsimony. Multivariate Behav Res. 2020;55:102–19.
42.
Seraji M, Nejadsadeghi E. Validation of a social-cognitive theory-based tool for measuring factors influencing obesity prevention behaviors in 4–6 years old children using confirmatory factor analysis (CFA). Int J Pediatr. 2022;10:15925–36.
43.
Roozbahani N, Kaviani AH, Khorsandi M. Path analysis of skin cancer preventive behavior among the rural women based on protection motivation theory. BMC Womens Health. 2020;20:1–8.CrossRef
44.
Bauer AG, Berkley-Patton J, Bennett K, Catley D, Bowe-Thompson C, Lister S, et al. Dietary intake among church-affiliated African Americans: The role of intentions and beliefs. J Black Psychol. 2020;46:29–54.CrossRef
45.
van Munster EPJ, van der Aa H, Verstraten P, Heymans MW, van Nispen R. Improved intention, self-efficacy and social influence in the workspace may help low vision service workers to discuss depression and anxiety with visually impaired and blind adults. BMC Health Serv Res. 2022;22:1–11.
46.
Al-Qahtani N, Al-Yafi K, Alshare KA. Factors influencing employees’ intention to apply ergonomics at workplaces: a cultural perspective. Int J Hum Factors Ergon. 2019;6(1):57–87.CrossRef
47.
Khandan M, Vosoughi S, Azrah K, Poursadeghiyan M, Khammar A. Decision making models and human factors: TOPSIS and Ergonomic Behaviors (TOPSIS-EB). Manag Sci Lett. 2017;7(2):111–8.CrossRef
48.
Dianat I, Kord M, Yahyazade P, Karimi MA, Stedmon AW. Association of individual and work-related risk factors with musculoskeletal symptoms among Iranian sewing machine operators. Appl Ergon. 2015;51:180–8.PubMedCrossRef
49.
Ghazi C, Nyland J, Whaley R, Rogers T, Wera J, Hensman C. Social cognitive or learning theory use to improve self-efficacy in musculoskeletal rehabilitation: A systematic review and meta-analysis. Physiother Theory Pract. 2018;34:495–504.PubMedCrossRef
50.
da Silva JG, da Silva JMN, Bispo LGM, de Souza DSF, Serafim RS, Torres MGL, et al. Construction of a musculoskeletal discomfort scale for the lower limbs of workers: An analysis using the multigroup item response theory. Int J Environ Res Public Health. 2023;20:5307.PubMedPubMedCentralCrossRef
Metadata
Title
The Ergonomic Behaviors Evaluation Tool (EBET) based on social cognitive theory for the assembly line workers: development and psychometric assessment
Authors
Zakieh Sadat Hosseini
Sedigheh Sadat Tavafian
Omran Ahmadi
Reza Maghbouli
Publication date
01-12-2024
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2024
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-024-18738-w

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