The Relationship between Injury and Socioeconomic Status in Reference to the Fourth Korean National Health and Nutrition Examination Survey
Tóm tắt
This study aims to investigate the relationship between the total injury experience rate and socioeconomic status based on the fourth Korea National Health and Nutrition Examination Survey (KNHANES). By analyzing data from the fourth KNHANES conducted from 2007 to 2009, we estimated the injury experience rate according to socioeconomic status, including the occupational characteristics of 11,837 subjects. Setting the injury experience rate as a dependent variable and socioeconomic status as an independent variable, we performed logistic regression to calculate odds ratios reflecting the likelihood of injury according to socioeconomic status while controlling for relevant covariates. In 797 subjects who had injury experience over the past 1 year, 290 persons (36.4%) had a work-related injury. As their income, home value, and educational status increased, their injury experiences decreased. Among occupational groups, the craft, equipment, machine operating, and assembling workers showed the highest rate (10.6%) of injury experience, and the lowest rate (5.7%) was found in the unemployed group. After adjusting for the confounding variables, the experience of injury was significantly related to several socioeconomic factors: high income (OR = 0.54; 95% CI: 0.34-0.86), high home value (OR = 0.65; 95% CI: 0.43-0.96), low education status (OR = 1.28; 95% CI: 1.07-1.52), and specific occupations such as craft, equipment, machine operating, and assembling work (OR = 1.99; 95% CI: 1.60-2.47), skilled agriculture, forestry and fishery work (OR = 1.43; 95% CI: 1.02-2.01), and simple labor (OR = 1.38; 95% CI: 1.04-1.82). The injury experience rate differed depending on the socioeconomic status. A negative correlation was found between the injury experience rate and income, low home value, and education level. Moreover, a higher rate of injury experience was found in occupation groups and physical worker groups in comparison to the unemployed group and white-collar worker groups. This study would be useful in selecting appropriate priorities for injury management in Korea.
Tài liệu tham khảo
Holder Y, Peden M, Krug E, Lund J, Gururaj G, Kobusingye O (Eds): Injury Surveillance Guidelines. Geneva: World Health Organization; 2001.
Peden M, McGee K, Krug E (Eds): Injury: A Leading Cause of the Global Burden of Disease, 2000. Geneva: World Health Organization; 2002.
Rivara FP, Grossman DC, Cummings P: Injury Prevention. N Engl J Med 1997, 337: 613–618. 10.1056/NEJM199708283370907
Peden M, McGee K, Sharma G: The Injury Chart Book: A Graphical Overview of the Global Burden of Injuries. Geneva: World Health Organization; 2002.
Sleet DA: Injury prevention and public health. Ital J Public Health 2012, 7(2):3–5.
Organisation for Economic Co-operation and Development: OECD Health Data 2007: Statistics and Indicators for 30 Countries. Paris: Organisation for Economic Co-operation and Development; 2007.
Lee EJ, Lee JS, Kim Y, Park KH, Eun SJ, Suh SK, Kim YI: Patterns of Unintentional Domestic Injuries in Korea. J Prev Med Pub Health 2010, 43: 84–92. 10.3961/jpmph.2010.43.1.84
Vyrostek SB, Annest JL, Ryan GW: Surveillance for fatal and nonfatal injuries–United States, 2001. MMWR Surveill Summ 2004, 53: 1–57.
Heinrich H: Industrial Accident Prevention. 5th edition. New York: McGraw-Hill; 1980:3–80.
Dembe AE, Erickson JB, Delbos R: Predictors of work-related injuries and illnesses: national survey findings. J Occup Environ Hyg 2004, 1: 542–550. 10.1080/15459620490478376
Swaen GM, van Amelsvoort LP, Bultmann U, Slangen JJ, Kant IJ: Psychosocial work characteristics as risk factors for being injured in an occupational accident. J Occup Environ Med 2004, 46: 521–527. 10.1097/01.jom.0000128150.94272.12
Nakata A, Ikeda T, Takahashi M, Haratani T, Hojou M, Fujioka Y, Swanson NG, Araki S: Impact of psychosocial job stress on non-fatal occupational injuries in small and medium-sized manufacturing enterprises. Am J Ind Med 2006, 49: 658–669. 10.1002/ajim.20338
Potter BK, Speechley KN, Koval JJ, Gutmanis IA, Campbell MK, Manuel D: Socioeconomic status and non-fatal injuries among Canadian adolescents: variations across SES and injury measures. BMC Public Health 2005, 5: 132. 10.1186/1471-2458-5-132
Haddon W Jr: Options for the prevention of motor vehicle crash injury. Isr J Med Sci 1980, 16: 45–65.
Pickett KE, Pearl M: Multilevel analyses of neighbourhood socioeconomic context and health outcomes: a critical review. J Epidemiol Community Health 2001, 55: 111–122. 10.1136/jech.55.2.111
Yen IH, Syme SL: The social environment and health: a discussion of the epidemiologic literature. Annu Rev Public Health 1999, 20: 287–308. 10.1146/annurev.publhealth.20.1.287
Cubbin C, Smith GS: Socioeconomic inequalities in injury: critical issues in design and analysis. Annu Rev Public Health 2002, 23: 349–375. 10.1146/annurev.publhealth.23.100901.140548
Lee JS, Kim SD, Lee DK, Lee JS: The incidence rates and risk factor of mild injury for two weeks: Using Korea National Health and Nutrition Examination Survey 2001. J Prev Med Public Health 2008, 41: 279–286. 10.3961/jpmph.2008.41.4.279
Korea Centers for Disease Control and Prevention: Guide to the utilization of the data from the forth Korea National Health and Nutrition Examination Survey. Seoul: Korea Centers for Disease Control and Prevention; 2010.
Jung DY, Kim HC, Leem JH, Park SG, Lee DH, Lee SJ, Kim GW: Estimated occupational injury rate and work related factors based on data from the fourth Korea national health and nutrition examination survey. Korean J Occup Environ Med 2011, 23: 149–163.
Occupational Safety and Health Research Institute: A Study on the Cause of Stagnation of Korea Occupational injuries and Countermeasures. Incheon: Occupational Safety and Health Research Institute; 2010.
Hokstad P, Steiro T: Overall strategy for risk evaluation and priority setting of risk regulations. Reliability Eng Syst Safe 2006, 91: 100–111. 10.1016/j.ress.2004.11.014
Baker SP, Whitfield RA, O’Neill B: Geographic variations in mortality from motor vehicle crashes. N Engl J Med 1987, 316: 1384–1387. 10.1056/NEJM198705283162206
Burnley IH: Socioeconomic and spatial differentials in mortality and means of committing suicide in New South Wales, Australia, 1985–91. Soc Sci Med 1995, 41: 687–698. 10.1016/0277-9536(94)00378-7
Crawford MJ, Prince M: Increasing rates of suicide in young men in England during the 1980s: the importance of social context. Soc Sci Med 1999, 49: 1419–1423. 10.1016/S0277-9536(99)00213-0
Cubbin C, LeClere FB, Smith GS: Socioeconomic status and injury mortality: individual and neighbourhood determinants. J Epidemiol Community Health 2000, 54: 517–524. 10.1136/jech.54.7.517
Dayal H, Goldberg-Alberts R, Kinman J, Ramos J, Sharrar R, Shapiro S: Patterns of mortality from selected causes in an urban population. J Chronic Dis 1986, 39: 877–888. 10.1016/0021-9681(86)90036-6
Dougherty G, Pless IB, Wilkins R: Social class and the occurrence of traffic injuries and deaths in urban children. Can J Public Health 1990, 81: 204–209.
Hussey JM: The effects of race, socioeconomic status, and household structure on injury mortality in children and young adults. Matern Child Health J 1997, 1: 217–227. 10.1023/A:1022318610868
Kyriacou DN, Hutson HR, Anglin D, Peek-Asa C, Kraus JF: The relationship between socioeconomic factors and gang violence in the city of Los Angeles. J Trauma-Inj Infect Crit Care 1999, 46: 334–339. 10.1097/00005373-199902000-00023
Loomis DP: Occupation, industry, and fatal motor vehicle crashes in 20 states, 1986–1987. Am J Public Health 1991, 81: 733–735. 10.2105/AJPH.81.6.733
Mierley MC, Baker SP: Fatal house fires in an urban population. JAMA 1983, 249: 1466–1468. 10.1001/jama.1983.03330350042024
Pearce NE, Davis PB, Smith AH, Foster FH: Mortality and social class in New Zealand II: male mortality by major disease groupings. N Z Med J 1983, 96: 711–716.
Wise PH, Kotelchuck M, Wilson ML, Mills M: Racial and socioeconomic disparities in childhood mortality in Boston. N Engl J Med 1985, 313: 360–366. 10.1056/NEJM198508083130605
Fife D, Faich G, Hollinshead W, Boynton W: Incidence and outcome of hospital-treated head injury in Rhode Island. Am J Public Health 1986, 76: 773–778. 10.2105/AJPH.76.7.773
Wagener DK, Winn DW: Injuries in working populations: black-white differences. Am J Public Health 1991, 81: 1408–1414. 10.2105/AJPH.81.11.1408
Adler NE, Boyce T, Chesney MA, Cohen S, Folkman S, Kahn RL, Syme SL: Socioeconomic status and health. The challenge of the gradient. Am Psychol 1994, 49: 15–24.
Marmot MG, Stansfeld S, Patel C, North F, Head J, White I, Brunner E, Feeney A, Smith GD: Health inequalities among British civil servants: the Whitehall II study. Lancet 1991, 337: 1387–1393. 10.1016/0140-6736(91)93068-K
Chichester BM, Gregan JA, Anderson DP, Kerr JM: Associations between road traffic accidents and socio-economic deprivation on Scotland’s west coast. Scott Med J 1998, 43: 135–138.
Helmkamp JC, Bone CM: Hospitalizations for accidents and injuries in the US Navy: environmental and occupational factors. J Occup Med 1986, 28: 269–275.
Baker SP: Determinants of injury and opportunities for intervention. Am J Epidemiol 1975, 101: 98–102.
Rivara FP: Developmental and behavioral issues in childhood injury prevention. J Dev Behav Pediatr 1995, 16: 362–370.
Glik DC, Greaves PE, Kronenfeld JJ, Jackson KL: Safety hazards in households with young children. J Pediatr Psychol 1993, 18: 115–131. 10.1093/jpepsy/18.1.115
Shannon HS, Robson LS, Sale JE: Creating safer and healthier workplaces: role of organizational factors and job characteristics. Am J Ind Med 2001, 40: 319–334. 10.1002/ajim.1106
Girasek DC: Public beliefs about the preventability of unintentional injury deaths. Accid Anal Prev 2001, 33: 455–465. 10.1016/S0001-4575(00)00059-2
West P: Health inequalities in the early years: is there equalisation in youth? Soc Sci Med 1997, 44: 833–858. 10.1016/S0277-9536(96)00188-8
Howe LD, Huttly SRA, Abramsky T: Risk factors for injuries in young children in four developing countries: the young lives study. Trop Med Int Health 2006, 11: 1557–1566. 10.1111/j.1365-3156.2006.01708.x
Gilbride SJ, Wild C, Wilson DR, Svenson LW, Spady DW: Socio-economic status and types of childhood injury in Alberta: a population based study. BMC Pediatr 2006, 6: 30. 10.1186/1471-2431-6-30
Nathens AB, Neff MJ, Goss CH, Maier RV, Rivara FP: Effect of an older sibling and birth interval on the risk of childhood injury. Inj Prev 2000, 6: 219–222. 10.1136/ip.6.3.219
Reading R, Langford IH, Haynes R, Lovett A: Accidents to preschool children: Comparing family and neighbourhood risk factors. Soc Sci Med 1999, 48: 321–330. 10.1016/S0277-9536(98)00311-6
Scholer SJ, Hickson GB, Ray WA: Sociodemographic factors identify us infants at high risk of injury mortality. Pediatrics 1999, 103: 1183–1188. 10.1542/peds.103.6.1183
Scholer SJ, Mitchel EF Jr, Ray WA: Predictors of injury mortality in early childhood. Pediatrics 1997, 100: 342–347. 10.1542/peds.100.3.342