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Journal of Preventive Medicine and Public Health.2010;43(1):96-97. doi:10.3961/jpmph.2010.43.1.96

There was an error in the numbering of the references in page 375-376: Sue K. Park, Ji-Yeob Choi. Risk Assessment and Pharmacogenomics in Molecular and Genomic Epidemiology. J Prev Med Public Health 2009; 42(6): 371-6.

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Corrigendum.

Nirinjini NAIDOO ; Kee Seng CHIA

Journal of Preventive Medicine and Public Health.2010;43(1):95-95. doi:10.3961/jpmph.2010.43.1.95

The authors regret that they incorrectly cited the name of one of the authors and the contact number of the corresponding author in the original publication. The name of the first author should have read: Nasheen Naidoo. The correct contact number of the corresponding author, Kee Seng Chia, is (65)6516-4971.

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Bringing Up-to-Date Public Health Research to Your Doorstep.

Yunhwan LEE

Journal of Preventive Medicine and Public Health.2010;43(1):93-94. doi:10.3961/jpmph.2010.43.1.93

No abstract available.

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Patterns of Unintentional Domestic Injuries in Korea.

Eun Jung LEE ; Jin Seok LEE ; Yoon KIM ; Kunhee PARK ; Sang Jun EUN ; Soo Kyung SUH ; Yong Ik KIM

Journal of Preventive Medicine and Public Health.2010;43(1):84-92. doi:10.3961/jpmph.2010.43.1.84

OBJECTIVES: To investigate the patterns of unintentional home injuries in Korea. METHODS: The study population was 12,382,088 people who utilized National Health Insurance services due to injuries (main diagnosis codes S00 to T28) during 2006. Stratified samples(n=459,501) were randomly selected by sex, age group and severity of injury. A questionnaire was developed based on the International Classification of External Causes of Injury and 18,000 cases surveyed by telephone were analyzed after being projected into population proportionately according to the response rates of their strata. Domestic injury cases were finally included. RESULTS: Domestic injuries (n=3,804) comprised 21.1% of total daily life injuries during 2006. Women were vulnerable to home injuries, with the elderly and those of lower income (medical-aid users) tending to suffer more severe injuries. Injury occurred most often due to a slipping fall (33.9%), overexertion (15.3%), falling (9.5%) and stumbling (9.4%), with severe injury most often resulting from slipping falls, falls and stumbles. Increasing age correlated with domestic injury-related disability. CONCLUSIONS: The present findings provide basic information for development of home injury prevention strategies, with focus on the elderly.

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High Risk Groups in Health Behavior Defined by Clustering of Smoking, Alcohol, and Exercise Habits: National Heath and Nutrition Examination Survey.

Kiwon KANG ; Joohon SUNG ; Chang yup KIM

Journal of Preventive Medicine and Public Health.2010;43(1):73-83. doi:10.3961/jpmph.2010.43.1.73

OBJECTIVES: We investigated the clustering of selected lifestyle factors (cigarette smoking, heavy alcohol consumption, lack of physical exercise) and identified the population characteristics associated with increasing lifestyle risks. METHODS: Data on lifestyle risk factors, sociodemographic characteristics, and history of chronic diseases were obtained from 7,694 individuals > or =20 years of age who participated in the 2005 Korea National Health and Nutrition Examination Survey (KNHANES). Clustering of lifestyle risks involved the observed prevalence of multiple risks and those expected from marginal exposure prevalence of the three selected risk factors. Prevalence odds ratio was adopted as a measurement of clustering. Multiple correspondence analysis, Kendall tau correlation, Man-Whitney analysis, and ordinal logistic regression analysis were conducted to identify variables increasing lifestyle risks. RESULTS: In both men and women, increased lifestyle risks were associated with clustering of: (1) cigarette smoking and excessive alcohol consumption, and (2) smoking, excessive alcohol consumption, and lack of physical exercise. Patterns of clustering for physical exercise were different from those for cigarette smoking and alcohol consumption. The increased unhealthy clustering was found among men 20-64 years of age with mild or moderate stress, and among women 35-49 years of age who were never-married, with mild stress, and increased body mass index (>30 kg/m2). CONCLUSIONS: Addressing a lack of physical exercise considering individual characteristics including gender, age, employment activity, and stress levels should be a focus of health promotion efforts.

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Factors Associated with Cancer Screening Intention in Eligible Persons for National Cancer Screening Program.

Rock Bum KIM ; Ki Soo PARK ; Dae Yong HONG ; Cheol Heon LEE ; Jang Rak KIM

Journal of Preventive Medicine and Public Health.2010;43(1):62-72. doi:10.3961/jpmph.2010.43.1.62

OBJECTIVES: To identify factors associated with cancer screening intention using the Theory of Planned Behavior (TPB). METHODS: Among 55,920 eligible persons for National Cancer Screening Program (NCSP) in J city, 1,100 individuals were contacted. Of these, 797 were interviewed using a structured questionnaire. Thirty-six responses were excluded due to incomplete data. The remaining 761 completed questionnaires were analyzed to find factors associated with cancer screening intention. RESULTS: Cancer screening intention was significantly associated with behavioral attitude (p<0.01) and subjective norm (p<0.01), but not with perceived behavioral control (p=0.29) in the TPB model. These three constructs explained 29.7% of cancer screening intention in multiple linear regression analysis. External factors such as socio-demographic status, health and health behavior variables explained 8.9% of screening intention. Among them, household monthly income, past cancer screening experience, exercise and daily eating habit were significantly associated with screening intention. CONCLUSIONS: Cancer screening intention may be influenced by focusing attitude, subjective norm in TPB model and other external factors. However, further studies are warranted to identify factors influencing cancer screening intention and behavior.

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Socioeconomic Inequity in Self-Rated Health Status and Contribution of Health Behavioral Factors in Korea.

Minkyung KIM ; Woojin CHUNG ; Seungji LIM ; Soojin YOON ; Jakyoung LEE ; Eunkyung KIM ; Lanju KO

Journal of Preventive Medicine and Public Health.2010;43(1):50-61. doi:10.3961/jpmph.2010.43.1.50

OBJECTIVES: The study is investigated socioeconomic variations in self-rated health status and contribution of health behavioral factors in Korea. METHODS: A nationally representative sample (2,800 men and 3,230 women aged 20-64 years) from the 2005 Korea National Health and Nutrition Surveys was analyzed using logistic regression. RESULTS: Self-rated health was lower among lower socioeconomic groups compared with higher socioeconomic groups, with gender being irrelevant. This association was attenuated when health behavioral and socio-demographic factors were adjusted. When each health behavioral factor was considered separately, mediators such as smoking in men, and stress or exercise in women explained a large part of the decreased socioeconomic health inequalities. CONCLUSIONS: In Korea, subjective health inequalities arise from different socioeconomic status, but this difference is decreased by health behavioral factors. Therefore, socioeconomic inequity in self-rated health status can be corrected more effectively by promotional health behaviors.

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Comparative Study on Three Algorithms of the ICD-10 Charlson Comorbidity Index with Myocardial Infarction Patients.

Kyoung Hoon KIM

Journal of Preventive Medicine and Public Health.2010;43(1):42-49. doi:10.3961/jpmph.2010.43.1.42

OBJECTIVES: To compare the performance of three International Statistical Classification of Diseases, 10th Revision translations of the Charlson comorbidities when predicting in-hospital among patients with myocardial infarction (MI). METHODS: MI patients > or =20 years of age with the first admission during 2006 were identified(n=20,280). Charlson comorbidities were drawn from Heath Insurance Claims Data managed by Health Insurance Review and Assessment Service in Korea. Comparisions for various conditions included (a) three algorithms (Halfon, Sundararajan, and Quan algorithms), (b) lookback periods (1-, 3- and 5-years), (c) data range (admission data, admission and ambulatory data), and (d) diagnosis range (primary diagnosis and first secondary diagnoses, all diagnoses). The performance of each procedure was measured with the c-statistic derived from multiple logistic regression adjusted for age, sex, admission type and Charlson comorbidity index. A bootstrapping procedure was done to determine the approximate 95% confidence interval. RESULTS: Among the 20,280 patients, the mean age was 63.3 years, 67.8% were men and 7.1% died while hospitalized. The Quan and Sundararajan algorithms produced higher prevalences than the Halfon algorithm. The c-statistic of the Quan algorithm was slightly higher, but not significantly different, than that of other two algorithms under all conditions. There was no evidence that on longer lookback periods, additional data, and diagnoses improved the predictive ability. CONCLUSIONS: In health services study of MI patients using Health Insurance Claims Data, the present results suggest that the Quan Algorithm using a 1-year lookback involving primary diagnosis and the first secondary diagnosis is adequate in predicting in-hospital mortality.

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The Medical Use of the Disabled Among Overusers of Medical Aid in Korea.

Sun Mi SHIN ; Eui Sook KIM ; Chang Ki PARK ; Hee Woo LEE

Journal of Preventive Medicine and Public Health.2010;43(1):35-41. doi:10.3961/jpmph.2010.43.1.35

OBJECTIVES: In Korea, the top 10% of Medical Aid recipients represent nearly 60% of total payment, with the costs for those disabled for over 365 days representing approximately 30% of total payment. The purpose of this study was to compare Medical Aid use of the disabled with non-disabled recipients, and to identify contributing factors to the total payment in the top 2% of recipients identified as Medical Aid overusers. METHODS: Subjects (n=2,211) selected were > or =18-years-of-age and received >1000 days of co-payment-free type I Medical Aid. Case managers (n=200) conducted interviews in December 2006, and collected data from Health Insurance Review & Assessment Service. Amounts over the 9 months from January September 2006 were analyzed descriptively and using Chi-square, ANCOVA, and robust multiple linear regression. RESULTS: Disabled individuals (mean age 61.3 years) composed 36.6% of subjects; 44.8% of the disabled were male. On a monthly basis per capita, the disabled group averaged 10.5 outpatient days, total payment of 523,000 Korean Won(won), inpatient payment of 359,000won, and outpatient payment of 183,000won. All values exceeded the monthly average for non-disabled individuals. Contributing factors were identified as male gender (82,000won), elementary school or lower educational level (64,000won), residence in a small city (82,000won), lack of family support (61,000won), kidney disability (673,000won), intellectual disability (151,000won), and multiple disabilities (119,000won). CONCLUSIONS: The identification of contributing factors to Medical Aid use by those defined as disabled supports the adoption of comprehensive alternative policies such as strengthening of education and consultation services, provision of alternative facilities, and promotion of self-care.

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Impact of Shared-Decision Making on Patient Satisfaction.

Won S SUH ; Chae Kyung LEE

Journal of Preventive Medicine and Public Health.2010;43(1):26-34. doi:10.3961/jpmph.2010.43.1.26

OBJECTIVES: The purpose of this research is to analyze the impact of shared-decision making on patient satisfaction. The study is significant since it focuses on developing appropriate methodologies and analyzing data to identify patient preferences, with the goals of optimizing treatment selection, and substantiating the relationship between such preferences and their impact on outcomes. METHODS: A thorough literature review that developed the framework illustrating key dimensions of shared decision making was followed by a quantitative assessment and regression analysis of patient-perceived satisfaction, and the degree of shared-decision making. RESULTS: A positive association was evident between shared-decision making and patient satisfaction. The impact of shared decision making on patient satisfaction was greater than other variable including gender, education, and number of visits. CONCLUSIONS: Patients who participate in care-related decisions and who are given an explanation of their health problems are more likely to be satisfied with their care. It would benefit health care organizations to train their medical professionals in this communication method, and to include it in their practice guidelines.

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