Identifying Factors that Contribute to Severity of Construction Injuries using Logistic Regression Model

Baradan, Selim; Akboğa Kale, Özge

doi:10.18400/tekderg.470633

Identifying Factors that Contribute to Severity of Construction Injuries using Logistic Regression Model

Özge AKBOĞA KALE, (İzmir Demokrasi Üniversitesi, İnşaat Mühendisliği Bölümü)

Selim BARADAN (Ege Üniversitesi, İnşaat Mühendisliği Bölümü)

Teknik Dergi

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Yıl: 2020 Cilt: 31 Sayı: 2 Sayfa Aralığı: 9919 - 9940 Metin Dili: İngilizce DOI: 10.18400/tekderg.470633 İndeks Tarihi: 16-04-2021

Identifying Factors that Contribute to Severity of Construction Injuries using Logistic Regression Model

Öz:

Majority of research in occupational safety and health area lean towards describing accidents with the aid of surveys and descriptive statistics, instead of using inferential statistical techniques. Therefore, an extensive archival study was performed in cooperation with Social Security Institute of Turkey, which included examination and reorganization of more than 2000 accident report forms to create a categorically identified data set, incorporating “Injury Severity Score” concept, followed by various statistical analysis techniques (univariate frequency, cross tabulation and binary logistic regression). As a result, a model was developed to identify the factors that contribute to severity. The findings of the analyses showed that four of the independent variables (work experience, accident type, unsafe condition and unsafe act) have statistically significant influence on workplace injury severity.

Anahtar Kelime:

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık

Aksorn, T., Hadikusumo, B.H.W. Critical success factors influencing safety program performance in Thai construction projects. Safety Science, 46, 709-727, 2008.
[2] Zeng, S.X., Vivian, W.Y., Tam, C.M. Towards occupational health and safety systems in the construction industry of China. Safety Science, 46, 1155-1168, 2008.
[3] Gillen, M., Baltz, D., Gassel, M., Kirsch, L., Vaccaro, D. Perceived safety climate, job demands, and coworker support among union and nonunion injured construction workers. Journal of Safety Research 33, 33-51, 2002.
[4] Fass, S., Yousef, R., Liginlal, D., Vyas, P., Understanding causes of fall and struck-by incidents: What differentiates construction safety in the Arabian Gulf region?, Applied Ergonomics, 58, 515-526, 2017.
[5] Pérez-Alonso, J., Carreno-Ortega, A., Vázquez-Cabrera, F.J., Callejón-Ferre, A.J. Accidents in the greenhouse-construction industry of SE Spain. Applied Ergonomics, 43, 69-80, 2012.
[6] Unsar, S., Sut, N. General assessment of the occupational accidents that occurred in Turkey between the years 2000 and 2005. Safety Science, 47, 614-619, 2009.
[7] Haslam, R.A., Hide, S.A., Gibb, A.G.F., Gyi, D.E., Pavitt, T., Atkinson, S., Duff, A.R. Contributing factors in construction accidents. Applied Ergonomics, 36(4), 401-415, 2005.
[8] Çolak, B., Etiler, N., Biçer, U. Fatal Occupational Injuries in the Construction Sector in Kocaeli, Turkey, 1990-2001. Industrial Health, 24, 424-430, 2004.
[9] Spangenberg, S., Baarts, C., Dyreborg, J., Jensen, L., Kines, P., Mikkelsen, K.L. Factors contributing to the differences in work related injury rates between Danish and Swedish construction workers. Safety Science 41, 517-530, 2003.
[10] Tözer, K.D., Çelik, T., Gürcanlı, G.E., Classification of Construction Accidents in Northern Cyprus. Teknik Dergi, DOI: 10.18400/tekderg.325546, 29 (2), 8295-8316, 2018.
[11] Bilir, S., Gürcanli, G.E., A Method For Determination of Accident Probability in Construction Industry. Teknik Dergi, DOI: 10.18400/tekderg.363613, 29 (4), 85378561, 2018.
[12] Baradan, S., Akboga, O., Cetinkaya, U., Usmen, M., Ege Bölgesindeki İnşaat İş Kazalarının Sıklık ve Çapraz Tablolama Analizleri. Teknik Dergi, 27 (1), 7345-7370, 2016.
[13] Al-Ghamdi, A.S. Using Logistic Regression to Estimate the Influence of Accident Factors on Accident Severity. Accident Analysis and Prevention, 34, 729-741, 2002.
[14] Mercier, C.R., Shelley, II M.C., Rimkus, J.B., Mercier, J.M. Age and Gender as Predictors of Injury Severity in Head-on Highway Vehicular Collisions. Transportation Research Record: Journal of the Transportation Research Board, 1581, DOI: 10.3141/1581-05, 1997.
[15] Kim, K., Li, L., Modeling Fault among Bicyclists and Drivers Involved in Collisions in Hawaii, 1986–1991. Transportation Research Record: Journal of the Transportation Research Board, 1538, 75-80, 1996.
[16] Steyeberg, E.W., Harrell, Jr F.E., Borsboom, G.J., Eijkemans, M.J., Vergouwe, Y., Habbema, J.D. Internal Validation of Predictive Models: Efficiency of Some Procedures for Logistic Regression Analysis. Journal of Clinical Epidemiology, 54: 774-781, 2001.
[17] Li, Y., Bai, Y. Development of Crash-Severity-Index Models for the Measurement of Work Zone Risk Levels. Accident Analysis and Prevention, 40, 1724-1731, 2008.
[18] Fang, D., Chen, Y., Wong, L. Safety Climate in Construction Industry: A Case Study in Hong Kong. Journal of Construction Engineering and Management, 132, 573-584 2006.
[19] Cakan, H., Kazan, E., Usmen, M. Investigation of Factors Contributing to Fatal and Nonfatal Roofer Fall Accidents. International Journal of Construction Education and Research, 10, 300-317, 2014.
[20] Irizarry, J., Abraham, D.M. Assessment of Risk Perception of Ironworkers. Journal of Construction Research, 7(1/2), 111-132, 2006.
[21] Baradan, S., Usmen, M. Comparative Injury and Fatality Risk Analysis of Building Trades. Journal of Construction Engineering and Management, 132 (5), 533-539, 2006.
[22] Social Security Institution (SSI) Official Statistics http://www.sgk.gov.tr/wps/portal/sgk/tr/kurumsal/istatistik/sgk_istatistik_yilliklari Accessed February 07, 2018.
[23] Hürriyet, Daily News, 10 workers killed in construction site accident in Istanbul, http://www.hurriyetdailynews.com/10-workers-killed-in-construction-site-accidentin-istanbul-.aspx?pageID=238&nID=71381&NewsCatID=341 Accessed February 02, 2018.
[24] The Telegraph, At least 11 die in fire at construction site in Turkey, http://www.telegraph.co.uk/news/worldnews/europe/turkey/9137516/At-least-11-diein-fire-at-construction-site-in-Turkey.html Accessed February 01, 2018.
[25] Act No 6331, Occupational Health and Safety Law, Date of Enactment: 20/06/2012.
[26] Tabachnick, B.G., Fidell, L.S. Using Multivariate Statistics. 6th Ed., Pearson Education. Inc., Boston, MA. 2013.
[27] Kass, G.V. An exploratory technique for investigating large quantities of categorical data. Applied Statistics, 29:2, 119–127, 1980.
[28] Suruda, A., Fosbroke, D., Braddee, R. Fatal work-related falls from roofs. Journal of Safety Researc, 26(1), 1-8, 1995.
[29] Stern, F.B., Ruder, A.M., Chen, G. Proportionate mortality among unionized roofers and waterproofers. American Journal of Industrial Medicine, 37(5), 478-492, 2000.
[30] Huang, X., Hinze, J. Analysis of Construction Worker Fall Accidents. Journal of Construction Engineering and Management, 123(3), 262-271, 2003.
[31] Beavers, J.E., Moore, J.R., Schriver, W.R. Steel Erection Fatalities in the Construction Industry. Journal of Construction Engineering and Management, 227-234, 2009.
[32] Im, H.J., Kwon, Y.J., Kim, S.G., Kim, Y.K., Ju, Y.S., Lee, H.P. The characteristics of fatal occupational injuries in Korea’s Construction Industry. Safety Science, 47, 11591162, 2009.
[33] Gürcanlı, E., Müngen, U. Analysis of construction accidents in Turkey and responsible parties. Industrial Health, 51, 581-598, 2013.
[34] ICD, International Statistical Classification of Diseases and Related Health Problems 10th Revision (ICD-10) Version for 2010, Chapter XX External causes of morbidity and mortality (V01-Y98), W00-X59 Other external causes of accidental injury, http://apps.who.int/classifications/icd10/browse/2010/en#/XX Accessed May 03, 2018.
[35] ILO, 2014, “Theory of Accident Causes”, http://www.iloencyclopaedia.org/part-viii12633/accident-prevention/92-56-accident-prevention/theory-of-accident-causes Accessed April 21, 2018.
[36] Hill, D.C. Construction Safety Management and Engineering. American Society of Safety Engineers, Des Plaines, Illinois, 707 p. 2004.
[37] DMI, Disaster Management Institute, “The Domino Theory”, http://www.hrdpidrm.in/e5783/e17327/e24075/e27357/ Accessed January 24, 2017.
[38] Linn, S. The Injury Severity Score-Importance and Use. Ann Epidemiol., 5(6), 440446, 1995. [39] Baker, S.P. Evaluation of Medical Care of the Injured. Journal of Trauma, 11, 892-894, 1971.
[40] FTR, Florida Trauma Registry, A Report on The Collection Of Trauma Patient-Level Data From Trauma Centers And Other Acute Care Facilities For 2002. 2002 Annual Report, Division of Emergency Medical Operations Florida Department of Health July, 2003.
[41] Baker, S.P., O’Neill, B. The Injury Severity Score: An Update. The Journal of Trauma, 16(11), 882-885, 1976.
[42] Krischer, J.P. Indexes of Severity: Underlying concepts. Health Serv. Res., 11, 143157, 1976.
[43] Krischer, J.P. Indexes of Severity: “Conceptual Development. Health Serv. Res., 14, 56-57, 1979.
[44] Sacco, W.J., Jameson, J.W., Copes, W.S., Lawnick, M.M., Keast, S.L., Champion, H.R. Progress toward a New Injury Severity Characterization: Severity Profiles. Comput. Biol. Med., 18, 419-428, 1988.
[45] Copes, W.S., Champion, H.R., Sacco, W.J., et al., Progress in Characterizing Anatomic Injury. Journal of Trauma, 30, 1200-1207, 1990.
[46] Rainer, T.H., Chan, S.Y., Suen, D.T.K., Lam, W., Cocks, R.A. Severe Trauma Presenting to the Resuscitation Room of a Hong Kong Emergency Department. Hong Kong Journal of Emergency Medicine, 7(3), 129-135, 2000.
[47] Ballesteros, M.F., Dischinger, P.C., Langenberg, P. Pedestrian Injuries and Vehicle Type in Maryland, 1995-1999. Accident Analysis and Prevention, 36, 73-81, 2004.
[48] Moore, S.J. The Effects of Daily Snowfall Accumulation on the Pattern and Severity of Traumatic Injuries from a U.S. Ski Resort. Trauma/Critical care Services, Vail Valley Medical Center, Colorado, 2011.
[49] Moylan, J.A., Detmer, D.E., Rose, J., et al:, Evaluation of the Quality of Hospital Care for Major Trauma. Journal of Trauma, 16, 517-523, 1976.
[50] Gillen, M., Faucett, J.A., Beaumont, J.J., McLoughlin, E. Injury Severity Associated with Nonfatal Construction Falls. American journal of Industrial Medicine, 32, 647655, 1997.
[51] Glancy, K.E., Glancy, C.J., Lucke, J.F., et Al, A Study of Recovery in Trauma Patients. F., Trauma, 33, 602-609, 1992.
[52] Richardson, D., Loomis, D., Bena, J., Bailer, A.J. Fatal occupational injury rates in southern and non-southern states, by race and Hispanic ethnicity. Am. J. Public Health 94, 1756–1761, 2004.
[53] Ringen, K., Englund, A., Welch, L., Weeks, J.L., Seegal, J.L. Why construction is different. Occupational Medicine: State of the Art Reviews, 10(2), 255– 259, 1995.
[54] Ringen, K., Seegal, J.L., Englund, A. Safety and health in the construction industry. American Journal of Public Health, 16, 165–188, 1995.
[55] Babbie, E.R. The Basics of Social Research. 5th Ed., Wadsworth Publishing, California, 2011.
[56] Greenland, S. Modeling and variable selection in epidemiologic analysis. American Journal of Public Health, 79(3), 340- 349, 1989.
[57] Rehm, J., Greenfield, T.K., Walsh, G., Xie, X., Robson, L., Single, E. Assessment methods for alcohol consumption, prevalence of high risk drinking and harm: a sensitivity analysis. International Journal of Epidemiology, 28(2), 219-224, 1999.
[58] Arias, J.C., Miller, R. Market analysis of student’ attitudes about credit cards. Business Intelligence Journal, 3(1), 23-36, 2010.
[59] Rollins, B.C., Feldman, H. Marital Satisfaction over the Family Life Cycle. Journal of Marriage and Family, 32(1), 20-28, 1970.
[60] Sureshchandar, G.S., Rajendran, C., Anantharaman, R. The Relationship between Service Quality and Customer Satisfaction–A Factor Specific Approach. Journal of Services Marketing, 16(4), 363-379, 2002.
[61] Fields, A. Discovering Statistics Using SPSS. 2nd Ed., Sage Publications, Thousand Oaks, CA, 2005.
[62] Sims, R.L. Bivariate Data Analysis: A Practical Guide. Nova Science Pub., Inc. 1999.
[63] Elliott, A.C., Woodward, W.A. Statistical Analysis Quick Reference Guidebook with SPSS Examples. 1st Ed., SAGE Publications, Inc., California. 2007.
[64] Healy, J. Statistics: a tool for social research. Wadsworth Publishing, 9th edition. 2011.
[65] Hosmer, W.D., Lemeshow, S. Applied logistic regression. John Wiley & Sons, Hoboken, NJ. 2000.
[66] Kleinbaum, D.G. Logistic regression: A self-learning text. Springer-Verlag; 1st edition, New York, NY. 1994.
[67] Kazan, E.E. Analysis of Fatal and Nonfatal Accidents Involving Earthmoving Equipment Operators and On-Foot Workers. PhD Thesis, Wayne State Universty, 173p. 2013.
[68] Arboretti Giancristofaro, R., Salmaso, L. Model Performance Analysis and Model Validation in Logistic Regression. Statistica LXIII, 375 – 396, 2003.
[69] Azen, R., Walker, C.M. Categorical Data Analysis for the Behavioral and Social Sciences. 1st Ed., Routledge Academic, New York. 2010.
[70] Campolieti, M., Hyatt, D.E. Further Evidence on the “Monday Effect” in Workers’ Compensation. Industrial and Labor Relations Review”, 59(3), 438-450, 2006.
[71] Chi, C.F., Chang, T.C., Ting, H.I. Accident patterns and prevention measures for fatal occupational falls in the construction industry. Applied Ergonomics, 36 (4); 391-400, 2005.
[72] Kemmlert, K., Lundholm, L. Slips, trips and falls in different work groups—with reference to age and from a preventive perspective. Applied Ergonomics, 32(2), 149153, 2001.
[73] Ore, T., Stout, N. Traumatic occupational fatalities in the US and Australian construction industries. Am J Ind Med 30, 202–206, 1996.
[74] Hinze, J., Pedersen, C., Fredley, J. Identifying root causes of construction injuries. Journal of Construction Engineering and Management, 124(1), 67-71, 1998.
[75] Jackson, S.A., Loomis, D. Fatal Occupational Injuries in the North Carolina Construction Industry, 1978–1994. Applied Occup Environ Hyg 17, 27–33, 2002.
[76] Fabrega, V., Stakey, S. Fatal Occupational Injuries among Hispanic Construction Workers of Texas, 1997 to 1999. Human and Ecological Risk Assessment, 7, 18691883, 2001.
[77] Arndt, V., Rothenbacher, D., Daniel, U., Zschenderlein, B., Schuberth, S., Brenner, H. All-cause and cause specific mortality in a cohort of 20,000 construction workers; results from a 10 year follow up. Occup. Environ. Med. 61(5), 419-425, 2004.

APA	Akboğa Kale Ö, Baradan S (2020). Identifying Factors that Contribute to Severity of Construction Injuries using Logistic Regression Model. , 9919 - 9940. 10.18400/tekderg.470633
Chicago	Akboğa Kale Özge,Baradan Selim Identifying Factors that Contribute to Severity of Construction Injuries using Logistic Regression Model. (2020): 9919 - 9940. 10.18400/tekderg.470633
MLA	Akboğa Kale Özge,Baradan Selim Identifying Factors that Contribute to Severity of Construction Injuries using Logistic Regression Model. , 2020, ss.9919 - 9940. 10.18400/tekderg.470633
AMA	Akboğa Kale Ö,Baradan S Identifying Factors that Contribute to Severity of Construction Injuries using Logistic Regression Model. . 2020; 9919 - 9940. 10.18400/tekderg.470633
Vancouver	Akboğa Kale Ö,Baradan S Identifying Factors that Contribute to Severity of Construction Injuries using Logistic Regression Model. . 2020; 9919 - 9940. 10.18400/tekderg.470633
IEEE	Akboğa Kale Ö,Baradan S "Identifying Factors that Contribute to Severity of Construction Injuries using Logistic Regression Model." , ss.9919 - 9940, 2020. 10.18400/tekderg.470633
ISNAD	Akboğa Kale, Özge - Baradan, Selim. "Identifying Factors that Contribute to Severity of Construction Injuries using Logistic Regression Model". (2020), 9919-9940. https://doi.org/10.18400/tekderg.470633

APA	Akboğa Kale Ö, Baradan S (2020). Identifying Factors that Contribute to Severity of Construction Injuries using Logistic Regression Model. Teknik Dergi, 31(2), 9919 - 9940. 10.18400/tekderg.470633
Chicago	Akboğa Kale Özge,Baradan Selim Identifying Factors that Contribute to Severity of Construction Injuries using Logistic Regression Model. Teknik Dergi 31, no.2 (2020): 9919 - 9940. 10.18400/tekderg.470633
MLA	Akboğa Kale Özge,Baradan Selim Identifying Factors that Contribute to Severity of Construction Injuries using Logistic Regression Model. Teknik Dergi, vol.31, no.2, 2020, ss.9919 - 9940. 10.18400/tekderg.470633
AMA	Akboğa Kale Ö,Baradan S Identifying Factors that Contribute to Severity of Construction Injuries using Logistic Regression Model. Teknik Dergi. 2020; 31(2): 9919 - 9940. 10.18400/tekderg.470633
Vancouver	Akboğa Kale Ö,Baradan S Identifying Factors that Contribute to Severity of Construction Injuries using Logistic Regression Model. Teknik Dergi. 2020; 31(2): 9919 - 9940. 10.18400/tekderg.470633
IEEE	Akboğa Kale Ö,Baradan S "Identifying Factors that Contribute to Severity of Construction Injuries using Logistic Regression Model." Teknik Dergi, 31, ss.9919 - 9940, 2020. 10.18400/tekderg.470633
ISNAD	Akboğa Kale, Özge - Baradan, Selim. "Identifying Factors that Contribute to Severity of Construction Injuries using Logistic Regression Model". Teknik Dergi 31/2 (2020), 9919-9940. https://doi.org/10.18400/tekderg.470633