Effects of ambient air pollution on brain cortical thickness and subcortical volume: A longitudinal neuroimaging study.

INTRODUCTION: Long-term exposure to air pollutants is associated with an increased risk of Alzheimer's disease and mild cognitive impairment. Therefore, we investigated the association between long-term air pollution exposure and changes in neuroimaging markers. METHODS: In this longitudinal study, we studied a prospective cohort of 361 adults residing in four cities in the Republic of Korea. Long-term concentrations of particulate matter with aerodynamic diameters of ≤10 µm (PM10) and ≤2.5 µm (PM2.5) and nitrogen dioxide (NO2) at residential addresses were estimated. Neuroimaging markers (cortical thickness and subcortical volume) were obtained from brain magnetic resonance images at baseline (August 2014 to March 2017) and at the 3-year follow-up (until September 2020). Linear mixed-effects models were used, adjusting for covariates. RESULTS: A 10-µg/m3 increase in PM10 was associated with reduced whole-brain mean (ß= -0.45, standard error (SE)= 0.10, P< 0.001), frontal (ß= -0.53, SE= 0.11; P< 0.001) and temporal thicknesses (ß= -0.37, SE= 0.12; P= 0.002). A 10-ppb increase in NO2 was associated with a decline in the whole brain mean cortical thickness (ß= -0.23, SE= 0.05; P< 0.001), frontal (ß= -0.25, SE= 0.05; P< 0.001), parietal (ß= -0.12, SE= 0.05; P= 0.025), and temporal thicknesses (ß= -0.19, SE= 0.06; P= 0.001). Subcortical structures associated with air pollutants include the thalamus volume. CONCLUSIONS: Long-term exposure to PM10 and NO2 may lead to cortical thinning in adults.

The association of dietary total flavonoids and their subclasses with the risk of type 2 diabetes: a prospective cohort study.

BACKGROUND: Data from mechanistic studies suggest flavonoids may benefit glucose metabolism, but their associations with type 2 diabetes (T2D) remain unclear. This study examined the prospective associations of dietary intake of total, classes, and individual flavonoids, as well as their source foods, with T2D in the CArdioVascular disease Association Study (CAVAS). METHODS: A total of 16,666 Korean men and women were enrolled at baseline, and 953 were newly diagnosed with T2D over a median follow-up of 5.96 years. Intake of flavonoids was cumulatively averaged using all food frequency questionnaires before the censoring events. A Poisson regression model was used to estimate incidence rate ratios (IRRs) and 95% confidence intervals (CIs). RESULTS: Women with higher total flavonoid, flavonol, isoflavone, and proanthocyanidin intake had a lower risk of T2D (fourth vs. first quartile, IRR 0.62; 95% CI 0.44-0.89; P for linearity and non-linearity < 0.05 for total flavonoids), while in men, flavanones, anthocyanins, and proanthocyanidins, but not total flavonoids, were inversely associated with T2D risk (all P interaction for sex > 0.05). The key source foods contributing to flavonoid intake were also different between men and women, except for apples: tangerines and strawberries in men and green leafy vegetables and soy products in women. CONCLUSIONS: A higher intake of total flavonoids, particularly from vegetables, soybeans, and apples, may be associated with lower risk of T2D in women. However, flavonoids from fruits, rather than total flavonoids, may be inversely associated in men. The association between flavonoid intake and the risk of T2D may be contingent upon the dietary sources of flavonoids consumed.

Habitual intake of iron, copper, and zinc and the risk of type 2 diabetes in a prospective cohort: The CAVAS (Cardiovascular Disease Association Study).

BACKGROUND AND AIMS: Unlike iron, evidence of the association between dietary copper and zinc intake and type 2 diabetes (T2D) risk is limited. This study aimed to examine the prospective associations of dietary intake of iron (total, plant-based, and animal-based), copper, and zinc with T2D risk among adults aged ≥40 years. METHODS AND RESULTS: For 16,666 participants, dietary intakes (baseline, cumulative average, and most recent) of iron, copper, and zinc were calculated from repeated food frequency questionnaires; a modified Poisson regression model with a robust error estimator was conducted. In men, positive associations between T2D and baseline dietary intake of Cu and Zn, cumulative average dietary intake of Fe (total and animal-based), Cu and Zn, and most recent dietary intake of Fe (total, plant-based, and animal-based), Cu, and Zn [most recent diet: for total Fe, IRR(95%CI) = 1.93 (1.41-2.64); for plant-based Fe, 1.56 (1.15-2.11); for animal-based Fe, 1.44 (1.09-1.90); for Cu, 3.17 (2.33-4.30); for Zn, 2.18 (1.64-2.89)] were observed, where as in women, there were positive associations of only cumulative average dietary Zn intake and most recent dietary intake of plant-based Fe, Cu, and Zn [most recent diet: for plant-based Fe, 1.30 (1.01-1.68); for Cu, 1.62 (1.27-2.08); for Zn, 2.07 (1.61-2.66)]. CONCLUSION: Dietary intakes of iron (total, plant-based, and animal-based), copper, and zinc may be positively associated with T2D risk. These positive associations are predominantly observed in most recent diet and appear to be stronger compared to baseline and cumulative average diet.

Global Trends in Social Prescribing: Web-Based Crawling Approach.

BACKGROUND: Social loneliness is a prevalent issue in industrialized countries that can lead to adverse health outcomes, including a 26% increased risk of premature mortality, coronary heart disease, stroke, depression, cognitive impairment, and Alzheimer disease. The United Kingdom has implemented a strategy to address loneliness, including social prescribing-a health care model where physicians prescribe nonpharmacological interventions to tackle social loneliness. However, there is a need for evidence-based plans for global social prescribing dissemination. OBJECTIVE: This study aims to identify global trends in social prescribing from 2018. To this end, we intend to collect and analyze words related to social prescribing worldwide and evaluate various trends of related words by classifying the core areas of social prescribing. METHODS: Google's searchable data were collected to analyze web-based data related to social prescribing. With the help of web crawling, 3796 news items were collected for the 5-year period from 2018 to 2022. Key topics were selected to identify keywords for each major topic related to social prescribing. The topics were grouped into 4 categories, namely Healthy, Program, Governance, and Target, and keywords for each topic were selected thereafter. Text mining was used to determine the importance of words collected from new data. RESULTS: Word clouds were generated for words related to social prescribing, which collected 3796 words from Google News databases, including 128 in 2018, 432 in 2019, 566 in 2020, 748 in 2021, and 1922 in 2022, increasing nearly 15-fold between 2018 and 2022 (5 years). Words such as health, prescribing, and GPs (general practitioners) were the highest in terms of frequency in the list for all the years. Between 2020 and 2021, COVID, gardening, and UK were found to be highly related words. In 2022, NHS (National Health Service) and UK ranked high. This dissertation examines social prescribing-related term frequency and classification (2018-2022) in Healthy, Program, Governance, and Target categories. Key findings include increased "Healthy" terms from 2020, "gardening" prominence in "Program," "community" growth across categories, and "Target" term spikes in 2021. CONCLUSIONS: This study's discussion highlights four key aspects: (1) the "Healthy" category trends emphasize mental health, cancer, and sleep; (2) the "Program" category prioritizes gardening, community, home-schooling, and digital initiatives; (3) "Governance" underscores the significance of community resources in social prescribing implementation; and (4) "Target" focuses on 4 main groups: individuals with long-term conditions, low-level mental health issues, social isolation, or complex social needs impacting well-being. Social prescribing is gaining global acceptance and is becoming a global national policy, as the world is witnessing a sharp rise in the aging population, noncontagious diseases, and mental health problems. A successful and sustainable model of social prescribing can be achieved by introducing social prescribing schemes based on the understanding of roles and the impact of multisectoral partnerships.

Associations of Particulate Matter Exposures With Brain Gray Matter Thickness and White Matter Hyperintensities: Effect Modification by Low-Grade Chronic Inflammation.

BACKGROUND: Numerous studies have shown the effect of particulate matter exposure on brain imaging markers. However, little evidence exists about whether the effect differs by the level of low-grade chronic systemic inflammation. We investigated whether the level of c-reactive protein (CRP, a marker of systemic inflammation) modifies the associations of particulate matter exposures with brain cortical gray matter thickness and white matter hyperintensities (WMH). METHODS: We conducted a cross-sectional study of baseline data from a prospective cohort study including adults with no dementia or stroke. Long-term concentrations of particulate matter ≤ 10 µm in diameter (PM10) and ≤ 2.5 µm (PM2.5) at each participant's home address were estimated. Global cortical thickness (n = 874) and WMH volumes (n = 397) were estimated from brain magnetic resonance images. We built linear and logistic regression models for cortical thickness and WMH volumes (higher versus lower than median), respectively. Significance of difference in the association between the CRP group (higher versus lower than median) was expressed as P for interaction. RESULTS: Particulate matter exposures were significantly associated with a reduced global cortical thickness only in the higher CRP group among men (P for interaction = 0.015 for PM10 and 0.006 for PM2.5). A 10 µg/m3 increase in PM10 was associated with the higher volumes of total WMH (odds ratio, 1.78; 95% confidence interval, 1.07-2.97) and periventricular WMH (2.00; 1.20-3.33). A 1 µg/m3 increase in PM2.5 was associated with the higher volume of periventricular WMH (odds ratio, 1.66; 95% confidence interval, 1.08-2.56). These associations did not significantly differ by the level of high sensitivity CRP. CONCLUSION: Particulate matter exposures were associated with a reduced global cortical thickness in men with a high level of chronic inflammation. Men with a high level of chronic inflammation may be susceptible to cortical atrophy attributable to particulate matter exposures.

A Novel Screening, Brief Intervention, and Referral to Treatment (SBIRT) Based Model for Mental Health in Occupational Health Implemented on Smartphone and Web-Based Platforms: Development Study With Results From an Epidemiologic Survey.

BACKGROUND: While the importance of mental health is well-recognized in the field of occupational health, implementation of effective strategies in the workplace has been limited by gaps in infrastructure, program comprehensiveness, coverage, and adherence. The authors developed a Screening, Brief Intervention, and Referral to Treatment (SBIRT) model based occupational mental health intervention, and implemented in a web-based format with a smartphone application. METHODS: The SBIRT-based intervention was developed by a multidisciplinary team, including occupational health physicians, nurses, psychiatrists, and software developers. The following mental health areas were included, based on outcomes of an epidemiological survey conducted: insomnia, depression, anxiety, problematic alcohol use, and suicidal risk. The viability of the two-step evaluation process utilizing a combination of the brief version and the full-length version of the questionnaire was examined using responses from the survey. The intervention was adjusted according to the survey results and expert opinions. RESULTS: The epidemiological survey included 346 employees who completed the long-form version of mental health scales. These data were the used to confirm the diagnostic value of using a combination of short-form and long-form version of the scales for screening in the SBIRT model. The model uses a smartphone application for screening, provision of psychoeducation, and for surveillance. The universal methods of the model ensure it can be implemented by all occupational managers, regardless of their specialization in mental health. In addition to the two-step screening procedure to identify employees at-risk for mental health problems, the model includes a stepped care approach, based on risk stratification, to promote mental health education, management, and follow-up for continuous care. CONCLUSION: The SBIRT model-based intervention provides an easy-to-implement approach for the management of mental health in the workplace. Further studies are required to examine the effectiveness and feasibility of the model.

All-Cause and Cause-Specific Mortality Attributable to Seasonal Influenza: A Nationwide Matched Cohort Study.

BACKGROUND: Although influenza poses substantial mortality burden, most studies have estimated excess mortality using time-aggregated data. Here, we estimated mortality risk and population attributable fraction (PAF) attributed to seasonal influenza using individual-level data from a nationwide matched cohort. METHODS: Individuals with influenza during four consecutive influenza seasons (2013-2017) (n = 5,497,812) and 1:4 age- and sex-matched individuals without influenza (n = 20,990,683) were identified from a national health insurance database. The endpoint was mortality within 30 days after influenza diagnosis. All-cause and cause-specific mortality risk ratios (RRs) attributed to influenza were estimated. Excess mortality, mortality RR, and PAF of mortality were determined, including for underlying disease subgroups. RESULTS: Excess mortality rate, mortality RR, and PAF of all-cause mortality were 49.5 per 100,000, 4.03 (95% confidence interval [CI], 3.63-4.48), and 5.6% (95% CI, 4.5-6.7%). Cause-specific mortality RR (12.85; 95% CI, 9.40-17.55) and PAF (20.7%; 95% CI, 13.2-27.0%) were highest for respiratory diseases. In subgroup analysis according to underlying disorders, PAF of all-cause mortality was 5.9% (95% CI, 0.6-10.7%) for liver disease, 5.8% (95% CI, 2.9-8.5%) for respiratory disease, and 3.8% (95% CI, 1.4-6.1%) for cancer. CONCLUSION: Individuals with influenza had a 4-fold higher mortality risk than individuals without influenza. Preventing seasonal influenza may lead to 5.6% and 20.7% reductions in all-cause and respiratory mortality, respectively. Individuals with respiratory disease, liver disease, and cancer may benefit from prioritization when establishing influenza prevention strategies.

Reduced brain subcortical volumes in patients with glaucoma: a pilot neuroimaging study using the region-of-interest-based approach.

BACKGROUND: While numerous neuroimaging studies have demonstrated that glaucoma is associated with smaller volumes of the visual cortices in the brain, only a few studies have linked glaucoma with brain structures beyond the visual cortices. Therefore, the objective of this study was to compare brain imaging markers and neuropsychological performance between individuals with and without glaucoma. METHODS: We identified 64 individuals with glaucoma and randomly selected 128 age-, sex-, and education level-matched individuals without glaucoma from a community-based cohort. The study participants underwent 3 T brain magnetic resonance imaging and neuropsychological assessment battery. Regional cortical thickness and subcortical volume were estimated from the brain images of the participants. We used a linear mixed model after adjusting for potential confounding variables. RESULTS: Cortical thickness in the occipital lobe was significantly smaller in individuals with glaucoma than in the matched individuals (ß = - 0.04 mm, P = 0.014). This did not remain significant after adjusting for cardiovascular risk factors (ß = - 0.02 mm, P = 0.67). Individuals with glaucoma had smaller volumes of the thalamus (ß = - 212.8 mm3, P = 0.028), caudate (ß = - 170.0 mm3, P = 0.029), putamen (ß = - 151.4 mm3, P = 0.051), pallidum (ß = - 103.6 mm3, P = 0.007), hippocampus (ß = - 141.4 mm3, P = 0.026), and amygdala (ß = - 87.9 mm3, P = 0.018) compared with those without glaucoma. Among neuropsychological battery tests, only the Stroop color reading test  score was significantly lower in individuals with glaucoma compared with those without glaucoma (ß = - 0.44, P = 0.038). CONCLUSIONS: We found that glaucoma was associated with smaller volumes of the thalamus, caudate, putamen, pallidum, amygdala, and hippocampus.

Cumulative average nut consumption in relation to lower incidence of hypertension: a prospective cohort study of 10,347 adults.

PURPOSE: Maintaining optimal blood pressure (BP) levels can be an effective preventive strategy for reducing disease burden. Nut consumption may play a preventive role against hypertension, which is a lifelong condition. We aimed to prospectively examine the association between cumulative average nut consumption and the incidence of hypertension in Korean adults aged 40 years and older. METHODS: A total of 10,347 participants who were free of hypertension at baseline, were included. Hypertension was defined as having a physician diagnosis and taking antihypertensive medications or having abnormal BP (systolic ≥ 140 mmHg or diastolic ≥ 90 mmHg). As an exposure, cumulative average nut consumption was calculated using repeated food-frequency questionnaires (mean: 2.1). We used a modified Poisson regression model with a robust error estimator to estimate the incidence rate ratios (IRRs) with 95% confidence intervals (CIs) for hypertension. RESULTS: We identified 2047 incident cases of hypertension during 44,614 person-years of follow-up. Among both men and women, an average nut consumption of ≥ 1 serving/week (15 g/week]) was inversely associated with hypertension incidence (IRR = 0.74, 95% CI = 0.58-0.96, p for trend = 0.013 for men; IRR = 0.72, 95% CI = 0.59-0.88, p for trend = 0.002 for women) and these significant associations were consistently observed across the strata of potential confounders. CONCLUSION: An average consumption of at least one serving (15 g) per week of peanuts, almonds, and/or pine nuts may be inversely associated with the risk of hypertension among Korean adults aged 40 years and older, in a dose-response manner.

Serum leptin level and incidence of CKD: a longitudinal study of adult enrolled in the Korean genome and epidemiology study(KoGES).

BACKGROUND: Chronic kidney disease(CKD) is a major public health issue and is highly prevalent in the general population. Leptin is an adipose tissue-derived endocrine factor that has been associated with several metabolic factors involved in cardiovascular diseases. Several studies have investigated the association between leptin and renal diseases so far. But the results are conflicting between the studies. The objective of our study was to verify the direct association of serum leptin level with CKD development. METHODS: This prospective cohort study included 2646 adult aged 40-70 without CKD in the Korean Genome and Epidemiology Study(KoGES) across South Korea from November 2005 to February 2012. The primary outcome was the development of CKD as defined by National Kidney Foundation Kidney Disease Outcomes Quality Initiative (KDOQI). Multivariate stepwise logistic regression analysis was done to assess the independent associations, for with the incident of CKD as the dependent variable, in tertiles of leptin values. RESULTS: Among 1100 men and 1546 women with 2.8 mean years of follow-up, incidence of CKD was 18(1.63%) for men and 50(3.23%) for women. In the multivariate logistic regression models, individuals in the highest serum leptin tertile showed significant associations with risk of CKD after adjustment compared to the lowest tertiles in the population. The crude odds ratio for trend was 2.95(p = 0.004) for men. After adjusting for age, baseline eGFR variables showed correlation with statistical significance (OR for trend = 2.25, p = 0.037) for men. The same trends were also seen observed in all population and women also, but no statistical significance was found. CONCLUSIONS: Higher plasma leptin levels are associated with the incidence of CKD, independent of traditional factors such as age, baseline eGFR. Our results suggest that leptin may partly explain part of the reported association between obesity and kidney disease.

Differential relationship between dietary fat and cholesterol on total mortality in Korean population cohorts.

BACKGROUND: Associations among dietary fat, cholesterol intake and total mortality remain controversial, and most available data cover Western populations. The aim of this study was to assess associations for dietary fat and cholesterol in relation to total mortality in Koreans. METHODS: This study used data from three prospective Korean Genome and Epidemiology studies (conducted between June 2001 and December 2013). A total of 194,295 middle-aged and older Korean adults were included. Dietary fat intake was classified into quintiles. Dietary cholesterol intake was categorized into three groups based on cholesterol intake as follows: <200 mg, 200-299 mg and ≥300 mg. A multivariable Cox frailty model with random effects was applied to calculate hazard ratios (HR) and 95% confidence intervals (CIs) after adjusting for confounders. RESULTS: We documented 3866 deaths across a mean (min-max) follow-up period of 8.15 years (3-13 years). Higher fat intake was associated with lower total mortality (Q5 vs. Q1, HR 0.82 [95% CI 0.69, 0.98]; p trend < 0.01) after adjusting for age, sex, body mass index, alcohol, smoking, exercise and total calorie and protein (%) intake. Higher dietary cholesterol intake (≥300 mg/day) was associated with a higher risk of total mortality (HR 1.19 [95% CI 1.04, 1.37]) than lower cholesterol intake (<200 mg/day) in the multivariate model. CONCLUSIONS: In Koreans, high dietary fat intake is associated with a lower risk of total mortality, while dietary cholesterol intake above 300 mg/day is associated with a higher risk of total mortality.

Deep learning models for the prediction of intraoperative hypotension.

BACKGROUND: Intraoperative hypotension is associated with a risk of postoperative organ dysfunction. In this study, we aimed to present deep learning algorithms for real-time predictions 5, 10, and 15 min before a hypotensive event. METHODS: In this retrospective observational study, deep learning algorithms were developed and validated using biosignal waveforms acquired from patient monitoring of noncardiac surgery. The classification model was a binary classifier of a hypotensive event (MAP <65 mm Hg) or a non-hypotensive event by analysing biosignal waveforms. The regression model was developed to directly estimate the MAP. The primary outcome was area under the receiver operating characteristic (AUROC) curve and the mean absolute error (MAE). RESULTS: In total, 3301 patients were included. For invasive models, the multichannel model with an arterial pressure waveform, electrocardiography, photoplethysmography, and capnography showed greater AUROC than the arterial-pressure-only models (AUROC15-min, 0.897 [95% confidence interval {CI}: 0.894-0.900] vs 0.891 [95% CI: 0.888-0.894]) and lesser MAE (MAE15-min, 7.76 mm Hg [95% CI: 7.64-7.87 mm Hg] vs 8.12 mm Hg [95% CI: 8.02-8.21 mm Hg]). For the noninvasive models, the multichannel model showed greater AUROCs than that of the photoplethysmography-only models (AUROC15-min, 0.762 [95% CI: 0.756-0.767] vs 0.694 [95% CI: 0.686-0.702]) and lesser MAEs (MAE15-min, 11.68 mm Hg [95% CI: 11.57-11.80 mm Hg] vs 12.67 [95% CI: 12.56-12.79 mm Hg]). CONCLUSIONS: Deep learning models can predict hypotensive events based on biosignals acquired using invasive and noninvasive patient monitoring. In addition, the model shows better performance when using combined rather than single signals.

Association between serotonin 2A receptor (HTR2A) genetic variations and risk of hypertension in a community-based cohort study.

BACKGROUND: Hypertension is one of the risk factors for obesity-related cardiovascular diseases. We investigated whether genetic variations in serotonin 2A receptor (HTR2A) were associated with hypertension. METHODS: We carried out a cross-sectional study in cohorts A (Ansan-Ansung cohort, N = 6039) and B (Wonju-Pyengchang cohort, N = 7524). Several genetic variants in HTR2A including rs7330636, rs9590999, rs2183057, and rs4942595 were selected and genotyped. RESULTS: In hypertensive participants in cohort A, the baseline systolic blood pressure and body mass index were 141.80 ± 17.20 mg/dL and 24.48 ± 4.75 kg/m2, respectively, which were higher than in those without hypertension (p < 0.001). rs4942595TC genotype was associated with hypertension in cohort A (OR = 0.739), after adjusting for variables. Subjects with rs4942578AA genotype had a decreased risk of hypertension after adjusting for clinical factor (OR = 0.735) in cohort B, and an elevated risk of hypertension in cohort A (OR = 1.562). The logistic regression analysis showed that participants with rs4941573TC genotype were 1.327 times more likely to have a higher blood pressure than those with TT genotype (95% CI 1.101-1.599) in cohort B. Whereas, the OR for developing hypertension in subjects with rs17069883CC genotype compared to those with AA genotype was 1.447 (95% CI 1.018-2.056; p for trend = 0.040) in cohort A. CONCLUSIONS: HTR2A genetic variations were associated with hypertension risk in our study.

Genetically, Dietary Sodium Intake Is Causally Associated with Salt-Sensitive Hypertension Risk in a Community-Based Cohort Study: a Mendelian Randomization Approach.

PURPOSE OF REVIEW: Excessive dietary salt intake is associated with an increased risk of hypertension. Salt sensitivity, i.e., an elevation in blood pressure in response to high dietary salt intake, has been associated with a high risk of cardiovascular disease and mortality. We investigated whether a causal association exists between dietary sodium intake and hypertension risk using Mendelian randomization (MR). RECENT FINDINGS: We performed an MR study using data from a large genome-wide association study comprising 15,034 Korean adults in a community-based cohort study. A total of 1282 candidate single nucleotide polymorphisms associated with dietary sodium intake, such as rs2960306, rs4343, and rs1937671, were selected as instrumental variables. The inverse variance weighted method was used to assess the evidence for causality. Higher dietary sodium intake was associated with salt-sensitive hypertension risk. The variants of SLC8E1 rs2241543 and ADD1 rs16843589 were strongly associated with increased blood pressure. In the logistic regression model, after adjusting for age, gender, smoking, drinking, exercise, and body mass index, the GRK4 rs2960306TT genotype was inversely associated with hypertension risk (OR, 0.356; 95% CI, 0.236-0.476). However, the 2350GG genotype (ACE rs4343) exhibited a 2.11-fold increased hypertension risk (OR, 2.114; 95% CI, 2.004-2.224) relative to carriers of the 2350AA genotype, after adjusting for confounders. MR analysis revealed that the odds ratio for hypertension per 1 mg/day increment of dietary sodium intake was 2.24 in participants with the PRKG1 rs12414562 AA genotype. Our findings suggest that dietary sodium intake may be causally associated with hypertension risk.

Association of dietary lipid intake with low-density lipoprotein cholesterol levels: analysis of two independent population-based studies.

PURPOSE: Serum low-density lipoprotein cholesterol (LDL-C) concentration is associated with the risk of cardiovascular disease. However, whether cholesterol and fat intake independently affect serum LDL-C levels remains controversial. We aimed to explore the differential effects of dietary cholesterol and fats on blood lipid profiles according to the presence of dyslipidemia. METHODS: A cross-sectional study was conducted based on data from the sixth Korean National Health and Nutrition Examination Survey (2013-2015), and a prospective cohort study was conducted using data from the Korean Genome Epidemiology Study. The analyses used data from 10,068 adults and from 9652 adults, respectively. Adjusted mean values of blood lipids were calculated according to cholesterol and fat intake using analysis of covariance. A repeated-measures covariance pattern linear mixed model with unstructured covariance within participants was used to examine longitudinal associations between cholesterol intake and serum concentrations of total cholesterol and LDL-C. Substitutional analysis was conducted to estimate carbohydrate substitution with saturated fat or unsaturated fat. RESULTS: Serum LDL-C level was significantly higher in dyslipidemic subjects who consumed more than 300 mg cholesterol per day than in those who consumed less than 300 mg cholesterol per day. At a mean 9-year follow-up, levels of total cholesterol and LDL-C were significantly higher in dyslipidemic individuals with higher baseline cholesterol intake after adjustment for potential confounders. In regard to dietary fats, replacing carbohydrate with unsaturated fat was associated with lower level of LDL-C in subjects with dyslipidemia. CONCLUSIONS: Serum LDL-C is associated with the intake of dietary cholesterol, especially in individuals with dyslipidemia.

Development of an Oral and Maxillofacial Frailty Index: A preliminary study.

OBJECTIVE: The purpose of this study is to develop an index to measure oral and maxillofacial frailty in older adults as an acceptable screening tool. METHODS: Three hundred adults (aged ≥ 50 years) participated in this study by telephone interview. Ten candidate items for the Oral and Maxillofacial Frailty Index (OMFI) and 20 matched detailed items for oral and maxillofacial functions were asked. Information about sociodemographic and oral health-related variables was also obtained. The test-retest reliability of the 10 candidate items was determined. Correlations of the 10 candidate items with the 20 detailed items or sociodemographic and oral health-related variables were analysed to test the validity of the candidate items. To suggest optimal items for the OMFI, five different models with different numbers of items were constructed and evaluated based on their associations with main variables. RESULTS: The overall internal consistency of the 10 candidate items was .704, and the Cronbach's alpha value of each item was .23-.55. The test-retest reliability was excellent. There were significant correlations between the 10 candidate and 20 matched detailed items. The score of the 10 candidate items was significantly different according to gender, education level and oral health-related variables. The final five items for the OMFI were difficulties in chewing, the necessity of water when eating dry food, difficulties in jaw or tongue movements, difficulties in speaking or pronunciation and difficulties in facial expression. CONCLUSIONS: The five items could be used as a screening tool for evaluating oral and maxillofacial frailty in older adults.

Waist-to-height ratio index for predicting incidences of hypertension: the ARIRANG study.

BACKGROUND: Several anthropometric indices such as body mass index (BMI) and waist circumference (WC) have been examined as indicators of cardiovascular diseases, in both adults and children. However, the waist-to-height ratio (WHtR) is considered a better predictor for the detection of cardiovascular risk factors, than BMI. We investigated the association between the WHtR and incident hypertension. METHODS: A total of 1718 participants, aged 39-72 years, were recruited in this longitudinal study. Participants were divided into 2 groups according to the development of hypertension during 2005-2008 (baseline) and 2008-2011 (follow-up). Logistic regression models were used to evaluate the WHtR as a significant predictor of hypertension. RESULTS: During the 2.8 years of follow-up, 185 new cases of hypertension (10.8%) were diagnosed, with an incidence rate of approximately 4% per year. The WHtR was significantly higher in the participants who had developed hypertension than in those who had not (0.54 ± 0.05 vs. 0.51 ± 0.05, p < 0.001). After adjusting for age, sex, smoking status, alcohol intake, regular exercise status, total cholesterol, and systolic blood pressure, at the baseline, the logistic regression analysis indicated that the participants with the highest quartile of the WHtR (WHtR≥0.54) were 4.51 times more likely to have hypertension than those with the lowest quartile (odds ratio 4.51; 95% confidence interval 2.41-8.43; p < .0001). The area under the curve for the WHtR, in identifying hypertension risk, was significantly greater than that for the BMI (p = 0.0233). CONCLUSION: A positive association between WHtR and the incidence of hypertension was observed in Korean adults. The findings of the present community-based prospective study suggest that the WHtR may be a better predictor of incident hypertension.

Radon Exposure-induced Genetic Variations in Lung Cancers among Never Smokers.

BACKGROUND: Lung cancer in never smokers (LCINS) differs etiologically and clinically from lung cancer attributed to smoking. After smoking, radon exposure is the second leading cause and the primary risk factor of lung cancer among never smokers. Exposure to radon can lead to genetic and epigenetic alterations in tumor genomes affecting genes and pathways involved in lung cancer development. The present study sought to explore genetic alterations associated with LCINS exposed to radon gas indoors. METHODS: Genetic associations were assessed via a case-control study of LCINS (39 cases and 30 controls) using next generation sequencing. Associations between genetic mutations and high exposure to radon were investigated by OncoPrint and heatmap graphs. Bioinformatic analysis was conducted using various tools. According radon exposure levels, we divided subjects in two groups of cases and controls. RESULTS: We found that ABL2 rs117218074, SMARCA4 rs2288845, PIK3R2 rs142933317, MAPK1 rs1803545, and androgen receptor (AR) rs66766400 were associated with LCINS exposed to high radon levels. Among these, Chromodomain helicase DNA-binding protein 4 (CHD4) rs74790047, TSC2 rs2121870, and AR rs66766408 were identified as common exonic mutations in both lung cancer patients and normal individuals exposed to high levels of radon indoor. CONCLUSION: We identified that CHD4 rs74790047, TSC2 rs2121870, and AR rs66766408 are found to be common exonic mutations in both lung cancer patients and normal individuals exposed to radon indoors. Further analysis is needed to determine whether these genes are completely responsible for LCINS exposed to residential radon.

Association between the symptoms of benign prostatic hyperplasia and social disparities: Does social capital promote prostate health?

This cross-sectional study investigated the relationships between socioeconomic factors and social capital and benign prostatic hyperplasia symptoms. The participants were 100,000 adult men who participated in the Korea Community Health Survey. The surveyors used the International Prostate Symptom Score. As regards occupation, the prevalence of benign prostatic hyperplasia was higher in men with blue-collar occupations or those who were unemployed than in those with white-collar jobs. In terms of marital status, the prevalence of benign prostatic hyperplasia was 1.319 times higher among divorced men than married men. As regards social capital, the prevalence of benign prostatic hyperplasia in men with positive attitudes towards one's community scores that reflected good, poor and very poor community scores was 1.228, 1.246 and 1.447 times higher than that of men who had very good scores respectively. The groups with good, poor, and very poor community participation scores had 1.115, 1.202 and 1.364 times higher prevalence of benign prostatic hyperplasia than the group with very good scores. Social disparities and social capital of a community were associated with the prevalence of benign prostatic hyperplasia. Thus, the use of social capital in the community setting will be effective in the management of the condition.

Association between Nitrogen Stable Isotope Ratios in Human Hair and Serum Levels of Leptin.

Stable isotope ratios have been reported to be potential biomarkers of dietary intake and nutritional status. High serum levels of leptin, a hormone which regulates energy metabolism and food intake, are associated with insulin resistance and metabolic syndrome. However, little is known about the association between stable isotope ratios and the metabolic risk in humans. We investigated whether the carbon and nitrogen stable isotope ratios in hair are associated with serum leptin levels. Hair samples were collected from 399 healthy adults (233 men and 166 women) aged 40 to 70 years of a community-based cohort in Korea and the bulk stable isotope ratios of carbon (δ13C) and nitrogen (δ15N) were measured for all hair samples. Serum leptin levels were analyzed by radioimmunoassay. δ15N showed positive correlations with serum leptin levels. In multivariate models, increasing δ15N were associated with elevated serum leptin levels (defined as ≥ the median values), whereas δ13C were not significantly associated with serum leptin levels. The odds ratio (95% confidence interval) per 1‰ increase in δ15N for an elevated serum leptin level was 1.58 (1.11-2.26). In participants with high body mass index, δ15N showed positive associations with serum leptin levels, whereas these associations were not seen in participants with low body mass index. The nitrogen stable isotopic ratio in hair is positively associated with serum leptin levels. The hair δ15N could be used as a clinical marker to estimate metabolic risk.