Jae-woo Lee

The Association between Socioeconomic Status and Adherence to Health Check-up in Korean Adults, Based on the 2010–2012 Korean National Health and Nutrition Examination Survey

Background We investigated the association between socioeconomic status and adherence to health check-ups in a Korean population aged 40 years or older. Methods This cross-sectional study included 12,311 participants who participated in the 2010–2012 Korean National Health and Nutrition Examination Survey. Self-reported questionnaires were used to assess each participants socioeconomic status (household income, occupation, and education) and adherence to health check-ups. Results Men with a higher income (highest vs. lowest: odds ratio [OR], 1.799; 95% confidence interval [CI], 1.296–2.497) and men with a higher education level (≥12 vs. <6 years: OR, 1.488; 95% CI, 1.078–2.054) and office workers compared with manual workers (men: OR, 1.431; 95% CI, 1.077–1.902; women: OR, 1.783; 95% CI, 1.256–2.532) appeared to undergo more health check-ups. In particular, men and women with a higher income and education appeared more likely to undergo opportunistic health check-ups (men: highest vs. lowest income: OR, 2.380; 95% CI, 1.218–4.653; ≥12 vs. <6 years education: OR, 2.121; 95% CI, 1.142–3.936; women: highest vs. lowest income: OR, 4.042; 95% CI, 2.239–7.297; ≥12 vs. <6 years education: OR, 2.475; 95% CI, 1.283–4.775). Conclusion A higher socioeconomic status was associated with a higher rate of participation in health check-ups. More efforts are needed to identify the factors associated with disparity in adherence to health check-ups.

Biological age as a health index for mortality and major age-related disease incidence in Koreans: National Health Insurance Service – Health screening 11-year follow-up study

Purpose A comprehensive health index is needed to measure an individual’s overall health and aging status and predict the risk of death and age-related disease incidence, and evaluate the effect of a health management program. The purpose of this study is to demonstrate the validity of estimated biological age (BA) in relation to all-cause mortality and age-related disease incidence based on National Sample Cohort database. Patients and methods This study was based on National Sample Cohort database of the National Health Insurance Service – Eligibility database and the National Health Insurance Service – Medical and Health Examination database of the year 2002 through 2013. BA model was developed based on the National Health Insurance Service – National Sample Cohort (NHIS – NSC) database and Cox proportional hazard analysis was done for mortality and major age-related disease incidence. Results For every 1 year increase of the calculated BA and chronological age difference, the hazard ratio for mortality significantly increased by 1.6% (1.5% in men and 2.0% in women) and also for hypertension, diabetes mellitus, heart disease, stroke, and cancer incidence by 2.5%, 4.2%, 1.3%, 1.6%, and 0.4%, respectively (p<0.001). Conclusion Estimated BA by the developed BA model based on NHIS – NSC database is expected to be used not only as an index for assessing health and aging status and predicting mortality and major age-related disease incidence, but can also be applied to various health care fields.

Associations between high-risk alcohol consumption and sarcopenia among postmenopausal women

Objective: Sarcopenia is an age-related process, leading to cardio-metabolic diseases and disabilities. High-risk drinking is also closely related to diabetes, hypertension, and dyslipidemia, which are modifiable risk factors for sarcopenia. In the present study, we aimed to investigate the association between alcohol-drinking patterns and sarcopenia in Korean postmenopausal women. Methods: Data from 2,373 postmenopausal women were analyzed from the 2008 to 2011 Korean National Health and Nutrition Examination Survey. We defined sarcopenia as two standard deviations below the sex-specific means of the appendicular skeletal muscle/weight (percentage) values of a young reference group. Participants were categorized into three groups according to alcohol-drinking patterns, as assessed by the Alcohol Use Disorders Identification Test questionnaire. The odds ratios and 95% confidence intervals for sarcopenia were calculated using multiple logistic regression analyses. Results: In total, 8.2% of Korean postmenopausal women met criteria for sarcopenia. The prevalence of sarcopenia increased from low-risk to high-risk alcohol-drinking groups as follows: 7.6, 11.0, and 22.7%, respectively. Compared with the low-risk group, the odds ratio (95% confidence interval) for the high-risk group was 4.29 (1.87-9.82) after adjusting for age, body mass index, systolic blood pressure, total cholesterol, fasting blood glucose, household income, education level, daily calorie intake, current smoking and regular exercise, and household food security status Conclusions: High-risk alcohol drinking was associated with a higher risk of sarcopenia in postmenopausal Korean women.

Trends in blood pressure and prevalence of hypertension in Korean adults based on the 1998–2014 KNHANES

Purpose To investigate trends in blood pressure (BP) and hypertension prevalence in Korea. Materials and Methods Based on the Korean National Health and Nutrition Examination Survey (KNHANES) I (1998), II (2001), III (2005), IV (2007–2009), V (2010–2012), and VI (2013–2014), 56077 participants (23974 men and 32103 women) were included. Results Mean systolic BP (SBP) and diastolic BP (DBP) decreased in both sexes (male SBP: 128.1 to 120.2 mm Hg, male DBP: 82.0 to 78.5 mm Hg; female SBP: 125.7 to 116.0 mm Hg and female DBP: 77.4 to 73.2 mm Hg from the KNHANES I–VI). The age-standardized prevalence of hypertension was significantly decreased in both sexes (male; 33.3% to 30.3%, female; 28.7% to 22.7%, all p for trend <0.001). Regardless of taking anti-hypertensive medication or not, SBP and DBP declined universally in both sexes. Compared to the KNHANES I, the odds ratios (95% confidence intervals) of the KNHANES II to VI for less-than-normotensive and less-than-hypertensive BP increased in both sexes. Conclusion Mean BP levels in both sexes and hypertension prevalence showed downward trends during the 16-year period.

Trends in diabetes prevalence among Korean adults based on Korean National Health and Nutrition Examination Surveys III–VI

AIMSnThe purpose of this study was to investigate trends in diabetic prevalence over the past 11u202fyears using Korea National Health and Nutrition Examination Survey (KNHANES) data. In addition, we aimed to examine trends in diagnosed and undiagnosed diabetes after stratification.nnnMETHODSnWe used data from the KNHANES III (2005), IV (2007-2009), V (2010-2012), and VI (2013-2015). 46,157 participants were included in this study. Diabetes was defined as follows: (1) an answer of yes to whether the participants had ever been diagnosed with diabetes by a physician, (2) fasting plasma glucose (FPG) ≥126u202fmg/dL, or (3) taking oral hypoglycemic agents or insulin. All sampling and weight variables were stratified, and analysis to account for the complex sampling design. The prevalence of diabetes was standardized by the 2005 Korean Housing Census.nnnRESULTSnIn men, the crude prevalence of total and undiagnosed diabetes were significantly increased with KNHANES phase (P for trendu202f=u202f0.002 and 0.004, respectively). The age-standardized prevalence of total, diagnosed and undiagnosed diabetes of both sexes increased with the KNHANES phase (all P for trendu202f<u202f0.001). Compared with the KNHANES III, the age-adjusted odds ratios (ORs) for the crude-prevalence of undiagnosed diabetes in KNHANES IV, V, and VI were 1.00 (0.72-1.41), 1.08 (0.78-1.51), and 1.42 (1.04-1.96) for men.nnnCONCLUSIONSnThe prevalence of total, diagnosed and undiagnosed diabetes steadily increased and public efforts should focus on screening for the detection of diabetes, especially in men.

Development and Validation of the Korean Diabetes Risk Score: A 10-Year National Cohort Study

Background A diabetes risk score in Korean adults was developed and validated. Methods This study used the National Health Insurance Service-National Health Screening Cohort (NHIS-HEALS) of 359,349 people without diabetes at baseline to derive an equation for predicting the risk of developing diabetes, using Cox proportional hazards regression models. External validation was conducted using data from the Korean Genome and Epidemiology Study. Calibration and discrimination analyses were performed separately for men and women in the development and validation datasets. Results During a median follow-up of 10.8 years, 37,678 cases (event rate=10.4 per 1,000 person-years) of diabetes were identified in the development cohort. The risk score included age, family history of diabetes, alcohol intake (only in men), smoking status, physical activity, use of antihypertensive therapy, use of statin therapy, body mass index, systolic blood pressure, total cholesterol, fasting glucose, and γ glutamyl transferase (only in women). The C-statistics for the models for risk at 10 years were 0.71 (95% confidence interval [CI], 0.70 to 0.73) for the men and 0.76 (95% CI, 0.75 to 0.78) for the women in the development dataset. In the validation dataset, the C-statistics were 0.63 (95% CI, 0.53 to 0.73) for men and 0.66 (95% CI, 0.55 to 0.76) for women. Conclusion The Korean Diabetes Risk Score may identify people at high risk of developing diabetes and may be an effective tool for delaying or preventing the onset of condition as risk management strategies involving modifiable risk factors can be recommended to those identified as at high risk.

The development and implementation of stroke risk prediction model in National Health Insurance Service's personal health record

BACKGROUND AND OBJECTIVEnThe purpose of this study was to build a 10-year stroke prediction model and categorize a probability of stroke using the Korean national health examination data. Then it intended to develop the algorithm to provide a personalized warning on the basis of each users level of stroke risk and a lifestyle correction message about the stroke risk factors.nnnMETHODSnSubject to national health examinees in 2002-2003, the stroke prediction model identified when stroke was first diagnosed by following-up the cohort until 2013 and estimated a 10-year probability of stroke. It sorted the users individual probability of stroke into five categories - normal, slightly high, high, risky, very risky, according to the five ranges of average probability of stroke in comparison to total population - less than 50 percentile, 50-70, 70-90, 90-99.9, more than 99.9 percentile, and constructed the personalized warning and lifestyle correction messages by each category.nnnRESULTSnRisk factors in stroke risk model include the age, BMI, cholesterol, hypertension, diabetes, smoking status and intensity, physical activity, alcohol drinking, past history (hypertension, coronary heart disease) and family history (stroke, coronary heart disease). The AUC values of stroke risk prediction model from the external validation data set were 0.83 in men and 0.82 in women, which showed a high predictive power. The probability of stroke within 10 years for men in normal group (less than 50 percentile) was less than 3.92% and those in very risky group (top 0.01 percentile) was 66.2% and over. The womens probability of stroke within 10 years was less than 3.77% in normal group (less than 50 percentile) and 55.24% and over in very risky group.nnnCONCLUSIONSnThis study developed the stroke risk prediction model and the personalized warning and the lifestyle correction message based on the national health examination data and uploaded them to the personal health record service called My Health Bank in the health information website - Health iN. By doing so, it urged medical users to strengthen the motivation of health management and induced changes in their health behaviors.

Trends in socioeconomic costs of morbid obesity among Korean adults, 2009-2013: Data from National Health Insurance Service.

As the prevalence of morbid obesity increased in Korea, the estimation of the accurate socioeconomic costs by morbid obesity was required; we analysed national medical costs through the big data. From 2009 year to 2013 year, Direct Costs (DC) for medical costs, transit costs and nursing costs and Indirect Costs (IC) for Future Income Loss (FIL) and Productivity Loss (PL) of morbid obesity (BMI≥30) were calculated, and socioeconomic costs were estimated by applying Population Attributable Risk (PAR) proportion according to obesity related diseases. From 10 year follow up research, Relative risk (RR) for morbid obesity related disease was analysed in comparison with control group. The high RR disease were congestive heart failure (RR 3.204 CI 2.421-3.987), hypertension (RR 3.13 CI 3.058-3.202), type 2 DM (RR 3.112 CI 2.973-3.251), pulmonary embolism (RR 2.969 CI 1.812-4.126), dyslipidemia (RR 2.283 CI 2.221-2.345) and ischaemic heart disease (RR 2.187 CI 2.068-2.306) in order. The socioeconomic costs by morbid obesity tended to increase 1.47 times from 2009 year (492 billion KRW) to 2013 year (726.2 billion KRW). The growth of the prevalence and the socioeconomic costs by morbid obesity in Korea are required not only the personal care issue but also social and national strategies for the future morbid obesity control.

Factors Positively Influencing Health Are Associated with a Lower Risk of Development of Metabolic Syndrome in Korean Men: The 2007–2009 Korean National Health and Nutrition Examination Survey

Background The prevalence of metabolic syndrome (MetS) has risen rapidly worldwide, including in South Korea. Factors related to lifestyle are closely associated with the development of MetS. The aim of this study was to investigate the association between MetS and a number of factors positively influencing health, namely non-smoking, low-risk drinking, sufficient sleep, regular exercise, and the habit of reading food labels, among Korean men. Methods This cross-sectional study included 3,869 men from the 2007–2009 Korean National Health and Nutrition Examination Survey. Information on five factors positively influencing their health was obtained using a self-reported questionnaire. We categorized subjects into four groups, depending on the number of positive factors reported (group I, 0–1 factor; group II, 2 factors; group III, 3 factors; group IV, 4–5 factors). Results Men who reported a greater number of positive health factors had better laboratory and anthropometric values than men who reported fewer positive health factors. The prevalence of MetS was 29.1, 27.2, 20.7, and 14.6% in groups I to IV, respectively. Compared to group I, odds ratios (95% confidence intervals) for MetS were 0.96 (0.78–1.19) in group II, 0.67 (0.52–0.87) in group III, and 0.52 (0.35–0.76) in group IV, after adjusting for confounding factors. Odds ratios for abdominal obesity, glucose intolerance, and hypertriglyceridemia were statistically significant. Conclusion A greater number of positive lifestyle factors influencing health were associated with a lower risk of developing MetS, in a nationally representative sample of Korean men.