Incidence and related factors of traffic accidents among the older population in a rapidly aging society.
OBJECTIVE
To estimate the incidence of traffic accidents and find related factors among the older population.


METHODS
We used the cross-sectional data from the Korean Community Health Survey (KCHS), which was conducted between 2008 and 2010 and completed by 680,202 adults aged 19 years or more. And we used individuals aged 60 years or above (n=210,914). The incidence of traffic accidents was estimated as number of traffic accidents experienced per thousand per year by a number of factors including age, sex, residential area, education, employment status, and diagnosis with chronic diseases. Multiple logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for each potential risk factor adjusted for the others.


RESULTS
Incidence of traffic accidents was estimated as 11.74/1,000 per year for men, and 7.65/1,000 per year for women. It tended to decline as age increased among women; compared to the youngest old age group (60-64), the older old groups (70-74 and 80+) were at lower risk for traffic accidents. Depressive symptom was the strongest predictor for both men (OR=1.83, 95% CI=1.28-2.61) and women (1.70, 1.23-2.35). Risk of traffic accident was greater in employed men (1.76, 1.40-2.22) and women diagnosis with arthritis (1.36, 1.06-1.75).


CONCLUSIONS
Given that the incidence of and factors associated with traffic accidents differ between men and women, preventive strategies, such as driver education and traffic safety counseling for older adults, should be modified in accordance with these differences.
Red Cross College of Nursing, Chung-ang University, Seoul, South Korea.
Kimyong
K
Hong
Department of Environmental Health, Korea National Open University, Seoul, South Korea.
Kyoung-Mu
KM
Lee
Red Cross College of Nursing, Chung-ang University, Seoul, South Korea. Electronic address: sjang@cau.ac.kr.
Soong-nang
SN
Jang
D000063:Accidents, Traffic / Q000706:statistics & numerical data*; D000368:Aged; D000369:Aged, 80 and over; D000375:Aging; D019058:Community Networks / Q000706:statistics & numerical data*; D003430:Cross-Sectional Studies; D005260:Female; D015577:Geriatric Assessment; D006304:Health Status; D006306:Health Surveys; D006801:Humans; D015994:Incidence; D008297:Male; D008875:Middle Aged; D016017:Odds Ratio; D056910:Republic of Korea / Q000453:epidemiology; D012189:Retrospective Studies; D012307:Risk Factors
Community health; Korea; Older population; Traffic accidents