Background: Osteoporosis develops in the elderly due to decreased bone mineral density (BMD), potentially increasing bone fracture risk. However, the BMD is not regularly measured in a clinical setting. This study aimed to develop a good prediction model for the osteoporosis risk using a machine learning (ML) approach in adults over 40 years in the Ansan/Anseong cohort and the association of predicted osteoporosis risk with a fracture in the Health Examinees (HEXA) cohort. Methods: The 109 demographic, anthropometric, biochemical, genetic, nutrient, and lifestyle variables of 8,842 participants were manually selected in an Ansan/Anseong cohort and included in the ML algorithm. The polygenic risk score (PRS) of osteoporosis was generated with a genome-wide association study and added for the genetic impact of osteoporosis. Osteoporosis was defined with < −2.5 T scores of the tibia or radius compared to people in their 20s–30s. They were divided randomly into the training (n = 7,074) and test (n = 1,768) sets—Pearson’s correlation between the predicted osteoporosis risk and fracture in the HEXA cohort. Results: XGBoost, deep neural network, and random forest generated the prediction model with a high area under the curve (AUC, 0.86) of the receiver operating characteristic (ROC) with 10, 15, and 20 features; the prediction model by XGBoost had the highest AUC of ROC, high accuracy and k-fold values (> 0.85) in 15 features among seven ML approaches. The model included the genetic factor, genders, number of children and breastfed children, age, residence area, education, seasons to measure, height, smoking status, hormone replacement therapy, serum albumin, hip circumferences, vitamin B6 intake, and body weight. The prediction models for women alone were similar to those for both genders, with lower accuracy. When the prediction model was applied to the HEXA study, the correlation between the fracture incidence and predicted osteoporosis risk was significant but weak (r = 0.173, P < 0.001). Conclusion The prediction model for osteoporosis risk generated by XGBoost can be applied to estimate osteoporosis risk. The biomarkers can be considered for enhancing the prevention, detection, and early therapy of osteoporosis risk in Asians.

Vitamin C is an important physiological antioxidant which neutralizes reactive oxygen species (ROS) and reduces the oxidative stress in the body. Although it has been associated with various diseases, few studies have reported the dose-response relationship between vitamin C intake, storage and functions in the body, including its antioxidant function. The criteria to establish the Dietary Reference Intakes for Koreans (KDRIs) for vitamin C were based on the changes in plasma concentrations and saturation of leukocytes according to intake levels and the effects on antioxidant capacity and risk of metabolic diseases. When establishing the 2020 vitamin C KDRI, while there was no change in the criteria from those of 2015, the reference values were recalculated and revised to reflect changes such as the new standard weight by age. As the number of people consuming dietary supplements has increased over the last decade, only about 10% of adults consume less than the average total vitamin C, but the proportion of adolescents and elderly who consume less than the average is high. On the other hand, as the intake of vitamin C supplements increases, the proportion of people consuming excessive vitamin C is also increasing. There is a body of opinion that it is necessary to establish a vitamin C KDRI for smokers or people with chronic diseases such as the metabolic syndrome, but these standards have not been established due to the lack of supporting scientific evidence. As a result, studies to establish vitamin C KDRI for Korean smokers and patients with the metabolic syndrome, as well as studies on the excessive intake of vitamin C due to supplementation and interactions with other nutrients, are needed.

Despite advertised health warnings regarding the deadly hazards of smoking, many people have not heeded recommendations to quit smoking. We examined factors that affect self-rated subjective health status (SRH) scores among lifestyle, nutrient intake and biochemical parameters, and the association of SRH scores and smoking status in a large Korean adult population. Adjusted odd ratios for SRH were calculated for smoking status, selected biochemical data, and food and nutrient intake obtained using the 24-hr recall method after covariate adjustment in the 2007-2012 Korean National Health and Nutrition Examination Survey (27,534 men and women aged > or = 20 yr). Age, sex, income, education, drinking, exercise and stress levels were associated with SRH scores, regardless of smoking status (P < 0.001). Interestingly, people in any smoking status groups considered the well-known indicators for metabolic diseases (HDL cholesterol, glucose, aspartate aminotransferase, and alanine aminotransferase in the circulation), and the intake of fiber, total vitamins A, and vitamin C as indicators of SRH. Especially in current smokers, higher intake of nutritious food groups such as grains (OR = 1.227), vegetables (OR = 1.944), and milk (OR = 2.26) significantly increased the adjusted odds ratio of SRH. However, smoking status was not associated with SRH scores. In conclusion, SRH is affected by the indices related to health but not smoking status in Korean adults. The development of a new indicator of the direct adverse effects of smoking at regular health check-ups might be required to modulate the SRH in smokers and a nutritional education should not include the possible attenuation of adverse effects of smoking by good nutrition.
Adolescent ; Adult ; Age Distribution ; Aged ; Aged, 80 and over ; Biomarkers/*blood ; Blood Glucose/*analysis ; *Diagnostic Self Evaluation ; Educational Status ; Female ; Health Behavior ; *Health Status ; Humans ; Income/statistics & numerical data ; *Life Style ; Male ; Middle Aged ; Nutrition Assessment ; Republic of Korea/epidemiology ; Sex Distribution ; Smoking/*epidemiology ; Socioeconomic Factors ; Young Adult

Carbohydrate(CHO) counting is a meal planning approach used with diabetic patients that focuses on carbohydrate as the primary nutrient affecting post-prandial glycemic response. However, it has not been used in meal management of diabetic patients in Korea. CHO counting can be used by clients with type 1 and 2 diabetes. The purpose of the study was to determine the barriers to utilize the CHO counting when three levels of CHO counting were educated to type 2 diabetic patients who started continuous subcutaneous insulin infusion (CSII) therapy by nutrition lectures and counseling. And the CHO-to-insulin ratios were determined for the individual patients who followed the carbohydrate counting as a meal management, and the factors to influence the CHO-to-insulin ratios were selected through the stepwise regression analysis. Twenty- four subjects were received three lectures, and one or two nutritional counseling for a month. The average age of the subjects was 50.7 years, and the duration of diabetes was 9.4 years. Their body mass index (BMI) was 21.5 kg/m2. The difficulties of using CHO counting were 1) confusing the CHO exchange system to diabetic food exchange system, 2) lack of basic nutrition and not distinguishing nutrients such as CHO, fat and calorie, and 3) lack of motivation to make effort to count and record the amount of carbohydrates eaten. Nutritional counseling replenished the nutrition education and made patients practice CHO counting. Average CHO-to-insulin ratios at breakfast, lunch and dinner were 4.1+/-3.3, 2.9+/-2.6 and 2.9+/-3.0units/23g of CHO, respectively. CHO-to-insulin ratios were influenced by gender, age, BMI, post-prandial blood glucose levels and post-prandial c-peptide levels. The effective education and nutritional counseling of CHO counting can make CHO counting applicable to type 2 diabetic patients as meal management for improving glycemic control with less hypoglycemic episode.
Blood Glucose ; Body Mass Index ; Breakfast ; C-Peptide ; Carbohydrates ; Counseling ; Education ; Humans ; Insulin ; Korea ; Lectures ; Lunch ; Meals* ; Motivation

Vitamin D deficiency is a risk factor for metabolic syndromes. We examined whether vitamin D deficiency altered the prevalence of cardiovascular disease (CVD) in older Koreans. Cross-sectional analysis of data from the Korean National Health and Nutrition Examination Survey IV 2008-2009 was used to examine the association between serum 25-hydroxyvitamin D (25(OH)D) levels and the prevalence of CVD in a representative population-based sample of 5,559 men and women aged > or = 50 years. CVD was defined as angina pectoris, myocardial infarction, or stroke. The prevalence of CVD (7.0%) in the older Korean population was lower than that in the older US population, although average serum 25(OH)D levels were much lower in the Korean population. Additionally, serum 25(OH)D levels did not differ significantly between the CVD and non-CVD groups. However, subjects in the lowest category (< 25 nmol/l) of serum 25(OH)D level had the greatest prevalence of CVD, about two-fold higher than subjects in the highest category (> 75 nmol/l), after adjusting for age, gender, body mass index, education level, residence location, and region. The prevalence of other risk factors for CVD, including higher waist circumference, fasting glucose, low-density lipoprotein (LDL) cholesterol, and triglyceride levels and lower high-density lipoprotein (HDL) cholesterol levels, was also higher among subjects in the lowest category than among those in the highest category. In conclusion, low serum 25(OH)D may be an independent risk factor for CVD in older Koreans.
Aged ; Angina Pectoris ; Body Mass Index ; Cardiovascular Diseases ; Cholesterol ; Cross-Sectional Studies ; Fasting ; Female ; Glucose ; Humans ; Lipoproteins ; Male ; Myocardial Infarction ; Nutrition Surveys ; Prevalence ; Risk Factors ; Stroke ; Vitamin D ; Vitamin D Deficiency ; Vitamins ; Waist Circumference

We compared the usual nutrient intake in both the semi-quantitative food frequency questionnaire (SQFFQ) and 24-hour recall methods and determined the association between metabolic syndrome (MetS) risk and nutrient intake calculated by both methods in Korea National Health and Nutrition Examination Survey (KNHANES; 2012–2014) data. Adjusted odds ratios for MetS were calculated according to the intake of macronutrients, measured by the 2 methods in 10,286 adults, while controlling for covariates associated with MetS. Fat and carbohydrate intake (energy percent) calculated by 24-hour recall and SQFFQ was significantly different between the MetS and non-MetS groups, particularly in women. The differences in other nutrient intakes determined by both methods were mainly non-significant. The correlation coefficients between the 2 methods were about 0.4 for most nutrients except total vitamin A and iron (Fe). Energy intake according to gender and MetS presence was similar between the 2 methods. Carbohydrate intake exhibited a positive association with the MetS risk, while fat intake showed a negative association in both methods. The association exhibited a gender interaction with carbohydrate and fat intake calculated by 24-hour recall: women exhibited a significant association. However, for the SQFFQ a gender interaction was evident only for carbohydrate intake. In diet quality index of SQFFQ the adequacy of vegetables and total fat intake was higher in the non-MetS than the MetS. In conclusion, the MetS prevalence exhibited a positive association with carbohydrate intake only in women, as assessed by 24-hour recall and SQFFQ. The SQFFQ can be used to assess the association between usual food intake and MetS risk in large population studies.
Adult ; Diet ; Eating ; Energy Intake ; Female ; Humans ; Iron ; Korea ; Nutrition Surveys ; Odds Ratio ; Prevalence ; Vegetables ; Vitamin A

It has come to my attention that the manuscript below contains an accidental mistake in writing the institution that approved the IRB approval.

Higher bone mineral density (BMD) at a young age, calcium intake, and exercise are important for prevention of osteoporosis later in life. We examined familial effects of BMD between mothers and children and adolescents aged 8-19 in Cheonan, Korea and the relationships between BMD and lifestyle parameters, including: food and nutrient intake and exercise. For daughters and sons, significant differences in BMD were observed at the three bone sites (total femur, femur neck, and lumbar spine) according to age, gender, body mass index, exercise, and milk consumption, compared to the reference value for each classification category. Mean differences in children's BMD were observed according to maternal BMD. Energy and calcium intake were lower in both children and mothers in comparison to the estimated daily energy requirement; however, their protein intake was much greater than the daily recommended intake. After adjusting for age and gender and for mother's age, body mass index, and total calorie intake, results of the food frequency test showed an association of a higher intake of meat, meat products, milk and milk products with greater BMD of total femur, femur neck, and lumbar spine of children. In addition, exercise was positively associated with higher BMD. Regression analysis showed a positive association of BMD with age, male gender, exercise, and mother's BMD. In conclusion, after adjustment for environmental parameters, maternal BMD had a positive influence on BMD in daughters and sons. This finding suggests that parents need to check their BMD in order to determine whether their children are at increased risk of low BMD.
Adolescent ; Aged ; Body Mass Index ; Bone Density ; Calcium ; Child ; Femur ; Femur Neck ; Humans ; Korea ; Life Style ; Male ; Meat ; Meat Products ; Milk ; Mothers ; Nuclear Family ; Osteoporosis ; Parents ; Reference Values ; Spine

Background: The prevalence of cataracts is steadily increasing among the middle-aged and elderly worldwide. We hypothesized that adults aged > 50 years with age-related cataracts (ARCs) have an association with metabolic syndrome (MS) and its components, and MS has interactions with different dietary patterns and lifestyles that affect ARC risk. We examined the hypothesis using the Korean Genome and Epidemiology Study (KoGES; a large-scale hospital-based cohort study), which collected data between 2004–2013. Methods: Participants ≥ 50 years old were classified as cases (1,972 ARC patients) and controls (38,290 healthy controls) based on a diagnosis of cataract by a physician. MS and its components were defined using WHO definitions for Asians. Dietary consumption was evaluated using a validated semi-quantitative food frequency questionnaire (SQFFQ), which contained 106 foods, and dietary patterns were analyzed by principal component analysis. After adjusting for potential covariates, logistic regression was used to investigate associations between MS and its components and between dietary patterns and a positive cataract history. Results: ARC had a positive association with MS after 1.32-fold adjusting for age, sex, residence area, body mass index, and energy intake. Plasma glucose and HbA1c concentrations exhibited an increased ARC risk in the participants with MS by 1.50- and 1.92-fold and without MS by 1.35 and 1.88-fold, respectively. Serum high-density lipoprotein (HDL) concentrations were negatively associated with ARC risk only in the MS patients, but not without MS. However, blood pressure, abdominal obesity, and serum triglyceride concentrations did not associate with ARC risk regardless of MS. High intake of a Koreanbalanced diet (KBD) containing fermented food exhibited a negative association with ARC risk (OR = 0.81) only in the MS group. The fat and coffee intake had a negative association with ARC only in the non-MS group. Current- and former-smokers were positively associated with ARC risk. Conclusion Persons who have hyperglycemia and low-HDL-cholesterolemia had increased susceptibility of ARC prevalence. A KBD with a proper amount of fat (≥ 15%) is recommended, and smoking should be prohibited.

Background: The prevalence of cataracts is steadily increasing among the middle-aged and elderly worldwide. We hypothesized that adults aged > 50 years with age-related cataracts (ARCs) have an association with metabolic syndrome (MS) and its components, and MS has interactions with different dietary patterns and lifestyles that affect ARC risk. We examined the hypothesis using the Korean Genome and Epidemiology Study (KoGES; a large-scale hospital-based cohort study), which collected data between 2004–2013. Methods: Participants ≥ 50 years old were classified as cases (1,972 ARC patients) and controls (38,290 healthy controls) based on a diagnosis of cataract by a physician. MS and its components were defined using WHO definitions for Asians. Dietary consumption was evaluated using a validated semi-quantitative food frequency questionnaire (SQFFQ), which contained 106 foods, and dietary patterns were analyzed by principal component analysis. After adjusting for potential covariates, logistic regression was used to investigate associations between MS and its components and between dietary patterns and a positive cataract history. Results: ARC had a positive association with MS after 1.32-fold adjusting for age, sex, residence area, body mass index, and energy intake. Plasma glucose and HbA1c concentrations exhibited an increased ARC risk in the participants with MS by 1.50- and 1.92-fold and without MS by 1.35 and 1.88-fold, respectively. Serum high-density lipoprotein (HDL) concentrations were negatively associated with ARC risk only in the MS patients, but not without MS. However, blood pressure, abdominal obesity, and serum triglyceride concentrations did not associate with ARC risk regardless of MS. High intake of a Koreanbalanced diet (KBD) containing fermented food exhibited a negative association with ARC risk (OR = 0.81) only in the MS group. The fat and coffee intake had a negative association with ARC only in the non-MS group. Current- and former-smokers were positively associated with ARC risk. Conclusion Persons who have hyperglycemia and low-HDL-cholesterolemia had increased susceptibility of ARC prevalence. A KBD with a proper amount of fat (≥ 15%) is recommended, and smoking should be prohibited.