How much do chronic diseases and socio-demographic variables affect the risk of accidents?


  • Ayhan Tabur SBÜ, Gazi Yaşargil Eğitim ve Araştırma Hastanesi, Diyarbakır /Türkiye
  • Fatih Orhan Health Science University Gulhane Health Vocational Scholl
  • M. Nurullah Kurutkan Düzce Üniversitesi İşletme Fakültesi, Sağlık Yönetimi Bölümü, Düzce/Türkiye



Chronic diseases, Traffic Accident, Home Accident, Casual Accident, Occupational Accident


Aim: The main objective of this study is to determine how chronic diseases and various socio-demographic variables affect the risk of accidents. The group of adults aged 18 and over was analyzed through a data set representing Turkey.

Method: The variables used in the analysis were obtained from the “TurkStat Health Survey” micro data set for 2016. In total, four types of accidents (traffic accident, home accident, casual accident and occupational accident) were subjected to binary logit regression analysis in the light of two different models.

Findings: Being male, increased age, lumbar region problem, allergies and depression are variables that increase the risk of traffic accidents (p<0,005). Increased age, worsening general health, stroke (paralysis) problem, presence of neck area problem, urinary incontinence and depression, increase the risk of home accidents. Arthrosis, the presence of neck region problems, allergies, urinary incontinence and depression increase the risk of casual accidents (p<0,005). Being male, increased age, presence of lumbar region problem, allergies and an increase in household income increase the likelihood of having an occupational accident (P<0,005).

Conclusion: According to the results of the study, authorities that shape the health policy should make an action plan for the variables affecting the risk of accidents in positive and negative directions.


(1) Chandran, A., Hyder, A. A., & Peek-Asa, C. The global burden of unintentional injuries and an agenda for progress. Epidemiologic reviews. 2010; 32(1): 110-120.

(2) Prinja, S., Jagnoor, J., Sharma, D., Aggarwal, S., Katoch, S., Lakshmi, P. V. M., & Ivers, R. Out-of-pocket expenditure and catastrophic health expenditure for hospitalization due to injuries in public sector hospitals in North India. PloS one. 2019; 14(11).

(3) World Health Organization. Global status report on road safety 2018. World Health Organization. 2018.

(4) International Labour Office. Safety and Health at Work. Geneva: International Labour Office, 2017; 217–281.

(5) Ferreira, M. J. M., Correa, F. G. S., Lacerda, E. M., Hajat, S., & de Araújo, L. F. Analysis of risk factors in occupational accidents in Brazil: a population-based study. Journal of Occupational and Environmental Medicine, 2020; 62(2): e46-e51.

(6) Jin, K., Courtney, T. K. Work-related fatalities in the People's Republic of China. Journal of occupational and environmental hygiene. 2009; 6(7): 446-453.

(7) Santana, V. S., Araújo-Filho, J. B., Albuquerque-Oliveira, P. R., & Barbosa-Branco, A. Occupational accidents: social insurance costs and work days lost. Revista de saude publica. 2006; (40): 1004-1012.

(8) Tsoumakas, K., Dousis, E., Mavridi, F., Gremou, A., & Matziou, V. Parent's adherence to children's home‐accident preventive measures. International nursing review. 2009; 56(3):369-374.

(9) Hong, K., Lee, K. M., Jang, S. N. Incidence and related factors of traffic accidents among the older population in a rapidly aging society. Archives of gerontology and geriatrics. 2015; 60 (3):471-477.

(10) Santagati, G., Vezzosi, L., Angelillo, I. F. Unintentional injuries in children up to six years of age and related parental knowledge, attitudes, and behaviors in Italy. The Journal of pediatrics, 2016; (177): 267-272.

(11) Carter, S. E., Campbell, E. M., Sanson‐Fisher, R. W., Gillespie, W. J. Accidents in older people living at home: a community‐based study assessing prevalence, type, location and injuries. Australian and New Zealand journal of public health, 2000; 24(6): 633-636.

(12) Acimis, N. M., Mas, N., ci, A. C., Gocmen, L., ISIK, A. T., & Mas, M. R. Accidents of the elderly living in Kocaeli Yazi Region (Turkey). Archives of gerontology and geriatrics. 2009; 49(2): 220-223.

(13) Mackenzie, L., Byles, J., & D'Este, C. Longitudinal study of the home falls and accidents screening tool in identifying older people at increased risk of falls. Australasian journal on ageing. 2009; 28(2): 64-69.

(14) Dönmez, L., & Gökkoca, Z. Accident profile of older people in Antalya City Center, Turkey. Archives of gerontology and geriatrics. 2003; 37(2): 99-108.

(15) Samancı Tekin, Ç., & Kara, F. Incidence Of Home Accidents In 65 Years Of Age And Older Individuals And Related Factors. Turkish Journal of Geriatrics/Türk Geriatri Dergisi. 2019; 22(1).

(16) Neghab, M., Rajaei Fard, A., Habibi, M., & Choobineh, A. Home accidents in rural and urban areas of Shiraz. 2006; 2000-02.

(17) Bhanderi, D. J., & Choudhary, S. A study of occurrence of domestic accidents in semi-urban community. Indian journal of community medicine: official publication of Indian Association of Preventive & Social Medicine. 2008; 33(2): 104.

(18) Skog, O. J. Alcohol consumption and mortality rates from traffic accidents, accidental falls, and other accidents in 14 European countries. Addiction. 2001; 96(11):49-58.

(19) Ahlm, K., Björnstig, U., & Öström, M. Alcohol and drugs in fatally and non-fatally injured motor vehicle drivers in northern Sweden. Accident Analysis & Prevention. 2009; 41(1): 129-136.

(20) Bakar, C., Cevizci, S., Gündoğar, D., & Karaman, H. I. Ö. Prevalence of unintentional injuries and related risk factors among university students in Canakkale city, western Turkey. Cent Eur J Public Health. 2014; 22(3): 189-96.

(21) Chliaoutakis, J. E., Darviri, C., & Demakakos, P. T. The impact of young drivers’ lifestyle on their road traffic accident risk in greater Athens area. Accident Analysis & Prevention. 1999; 31(6): 771-780.

(22) Guerrero, T. E., de Dios Ortuzar, J., & Raveau, S. Traffic accident risk perception among drivers: a latent variable approach. Transportation Planning and Technology. 2020; 1-12.

(23) Márquez, L., Cantillo, V., & Arellana, J. Mobile phone use while driving: A hybrid modeling approach. Accident Analysis & Prevention. 2015; (78): 73-80.

(24) Sacks, J. J., & Nelson, D. E. Smoking and injuries: an overview. Preventive medicine. 1994; 23(4): 515-520.

(25) Wilkins, K., Mackenzie, S. G. Work injuries. Health Rep. 2007; 18(3): 25-42.

(26) Teran-Santos, J., Jimenez-Gomez, A., Cordero-Guevara, J., Cooperative Group Burgos–Santander. The association between sleep apnea and the risk of traffic accidents. New England Journal of Medicine. 1999; 340(11):847-851.

(27) Barbone, F., McMahon, A. D., Davey, P. G., Morris, A. D., Reid, I. C., McDevitt, D. G., MacDonald, T. M. Association of road-traffic accidents with benzodiazepine use. The Lancet. 1998; 352 (9137):1331-1336.

(28) Doğan, H., Canbaz, S., Tander, B., PEKŞEN, Y., Cantürk, F., Oruç, N. Ö. The prevalence of home injuries among elderly people in Samsun, Turkey, and the influencing factors. Turkish Journal of Medical Sciences. 2010; 40(4): 651-658.

(29) Aarts, L., & Van Schagen, I. Driving speed and the risk of road crashes: A review. Accident Analysis & Prevention. 2006; 38(2): 215-224.

(30) Stallard, P., Salter, E., Velleman, R. Posttraumatic stress disorder following road traffic accidents. European child & adolescent psychiatry. 2004; 13(3): 172-178.




How to Cite

Tabur, A., Orhan, F., & Kurutkan, M. N. (2022). How much do chronic diseases and socio-demographic variables affect the risk of accidents?. Journal of Social and Analytical Health, 2(2), 118–124.