Effect of Dipeptidyl Peptidase-4 Inhibitors on the Risk of Bone Fractures in a Korean Population.

BACKGROUND: There have been equivocal results in studies of the effects of dipeptidyl peptidase-4 inhibitors (DPP-4i) on fractures. In this study, we analyzed the effect of DPP-4i on bone fracture risk in a Korean population. METHODS: We extracted subjects (n = 11,164) aged 50 years or older from the National Health Insurance Service-National Sample Cohort 2.0 from 2009 to 2014. Our control group included subjects without diabetes (n = 5,582), and our treatment groups with diabetes included DPP-4i users (n = 1,410) and DPP-4i non-users (n = 4,172). The primary endpoint was the incidence of a composite outcome consisting of osteoporosis diagnosis, osteoporotic fractures, vertebral fractures, non-vertebral fractures, and femoral fractures. The secondary endpoint was the incidence of each individual component of the composite outcome. Survival analysis was performed with adjustment for age, gender, diabetes complications severity index, Charlson comorbidity index, hypertension medication, and dyslipidemia treatment. RESULTS: The incidence of the composite outcome per 1,000 person-years was 0.089 in DPP-4i users, 0.099 in DPP-4i non-users, and 0.095 in controls. There was no significant difference in fracture risk between DPP-4i users and DPP-4i non-users or controls after the adjustments (P > 0.05). The incidences of osteoporosis diagnosis, osteoporotic fractures, vertebral fractures, non-vertebral fractures, and femoral fractures were not significantly different between DPP-4i users and non-users. The results of subgroup analyses by gender and age were consistent. CONCLUSION: DPP-4i had no significant effect on the risk of fractures in a Korean population.

Systemic Antibiotics and Obesity: Analyses from a Population-Based Cohort.

BACKGROUND: In this study, we analyzed the association between antibiotic use and obesity and metabolic syndrome (MS) in a Korean adult population. METHODS: Subjects using the Korean National Health Insurance Service sample cohort were retrospectively analyzed in 2015. The differences in obesity and metabolic syndrome (MS) status were compared and analyzed according to duration of systemic antibiotic treatment in the previous 10 years (non-users, 1st, 2nd, and 3rd tertile). RESULTS: Subjects who used systemic antibiotics for longer periods were older, satisfied more criteria for MS, and had more comorbidities than non-users (non-users vs. 3rd tertile, p < 0.0001 for all). After adjusting for confounding factors, the risk of obesity was higher in subjects who used systemic antibiotics for longer periods than in non-users (non-users vs. 3rd tertile, OR (odds ratio) (95% CI (confidence interval)); 1.20 (1.12-1.38)). The criteria for MS were more satisfied in the 3rd tertile than in non-users. A higher obesity risk was also found in subjects treated with antibiotics targeting Gram-negative organisms than in those targeting Gram-positive organisms. CONCLUSION: The risk of obesity was higher in subjects who took systemic antibiotics more frequently. The risk was more prominent when they took antibiotics targeting Gram-negative bacteria.

Incidence of Diabetes Mellitus in Male Moderate Alcohol Drinkers: A Community-Based Prospective Cohort Study.

BACKGROUND/AIM: Although alcohol consumption is known to affect the incidence of diabetes mellitus (DM), reports on the effects of moderate alcohol consumption on DM incidence have been inconsistent. This community-based prospective cohort study was performed to investigate the incidence of DM in male Korean moderate alcohol drinkers. METHODS: The Ansan and Ansung cohort was used for the analysis. The study population included a total of 3,492 men with no history of DM. The subjects were classified as mild (1-14 g/d), moderate (15-29 g/d), and heavy (≥30 g/d) drinkers based on their amount of alcohol consumption. The incidence rates of DM in the three groups were compared and analyzed over a 10 year follow-up period. RESULTS: The hazard ratios (HRs) for DM incidence were 25.12 (95% confidence interval [CI], 21.73-28.90) per 1,000 person years (PY) in mild drinkers, 31.13 (26.11-36.83) per 1,000 PY in moderate drinkers, and 31.68 (26.81-37.18) per 1,000 PY in heavy drinkers (p for trend, p = 0.043). Multivariate regression analysis showed that the HRs (95% CI) for DM were 1.25 (0.97-1.61, p = 0.086) in moderate drinkers and 1.30 (1.01-1.68, p = 0.045) in heavy drinkers compared to mild drinkers. The changes in pancreatic insulin secretion were more remarkable than those in insulin resistance in all three groups. CONCLUSIONS: The incidence of DM in male Korean moderate drinkers did not increase significantly over the observation period. However, the incidence of DM tended to increase with increasing alcohol consumption. Pancreatic insulin secretion may play a more important role than insulin resistance in the relationship between alcohol and incidence of DM.

Characteristics of frequent emergency department users with type 2 diabetes mellitus in Korea.

AIMS/INTRODUCTION: Frequent emergency department (ED) visitors are medically vulnerable individuals. We identified the characteristics of "frequent ED users" among Korean patients with type 2 diabetes mellitus. MATERIALS AND METHODS: We used the Health Insurance Review and Assessment Service National Patient Sample, which is a nationally representative sample. Patients (n = 109,412) with type 2 diabetes mellitus as a primary or secondary diagnosis at one of their visits were included. Individuals were classified into three groups according to the number of ED visits: frequent (≥4 visits), occasional (<4 visits) and non-users of the ED. The characteristics of the patients that distinguished frequent users from the other groups were investigated. RESULTS: Frequent ED users were mainly men (P < 0.001), with longer treatment duration (P < 0.001), more frequent comorbidities (cardiovascular and chronic kidney disease) and primary diagnosis made by surgery (P = 0.0028). They had higher mortality (P = 0.0085), longer hospitalization duration (P < 0.001), higher costs per visit (P < 0.001) and more often required medical protection (P < 0.001). These patients were treated more frequently with sulfonylurea, insulin, meglitinide and alpha-glucosidase inhibitors (P < 0.05). CONCLUSIONS: The present findings suggest that frequent users of the ED with type 2 diabetes mellitus have serious health conditions, a poor socioeconomic situation and tend to take some medicines (sulfonylurea, etc.), which often are associated with hypoglycemia. Attention should be given to therapy, and to patients with renal and cardiovascular diseases to decrease the dependency of these patients on the ED.

Air Pollution Has a Significant Negative Impact on Intentional Efforts to Lose Weight: A Global Scale Analysis.

BACKGROUND: Air pollution causes many diseases and deaths. It is important to see how air pollution affects obesity, which is common worldwide. Therefore, we analyzed data from a smartphone application for intentional weight loss, and then we validated them. METHODS: Our analysis was structured in two parts. We analyzed data from a cohort registered to a smartphone application in 10 large cities of the world and matched it with the annual pollution values. We validated these results using daily pollution data in United States and matching them with user information. Body mass index (BMI) variation between final and initial login time was considered as outcome in the first part, and daily BMI in the validation. We analyzed: daily calories intake, daily weight, daily physical activity, geographical coordinates, seasons, age, gender. Weather Underground application programming interface provided daily climatic values. Annual and daily values of particulate matter PM10 and PM2.5 were extracted. In the first part of the analysis, we used 2,608 users and then 995 users located in United States. RESULTS: Air pollution was highest in Seoul and lowest in Detroit. Users decreased BMI by 2.14 kg/m² in average (95% confidence interval, -2.26 to -2.04). From a multilevel model, PM10 (ß=0.04, P=0.002) and PM2.5 (ß=0.08, P<0.001) had a significant negative effect on weight loss when collected per year. The results were confirmed with the validation (ßAQI*time=1.5×10⁻5; P<0.001) by mixed effects model. CONCLUSION: This is the first study that shows how air pollution affects intentional weight loss applied on wider area of the world.

Importance of family history of diabetes in computing a diabetes risk score in Korean prediabetic population.

Prediabetic subjects represent a vulnerable population, requiring special care to reduce the risk of diabetes onset. We developed and validated a diabetes risk score for prediabetic subjects using the Korea National Diabetes Program (KNDP) cohort. Subjects included in the multicenter and prospective cohort (n = 1162) had high diabetes risk at baseline (2005) and were followed until 2012. Survival analysis was performed to analyze the prospective cohort over time, and the bootstrap method was used to validate our model. We confirmed our findings in an external cohort. A diabetes risk score was calculated and the cut-off defined using a receiver operating characteristic curve. Age, body mass index, total cholesterol, and family history of diabetes were associated with diabetes. The model performed well after correction for optimism (Cadj = 0.735). A risk score was defined with a cut-off of ≥5 that maximized sensitivity (72%) and specificity (62%), with an area under the curve of 0.73. Prediabetic subjects with a family history of diabetes had a higher probability of diabetes (risk score = 5) irrespective of other variables; this result was confirmed in the external cohort. Hence, prediabetic subjects with a family history of diabetes have a higher probability of developing diabetes, regardless of other clinical factors.

Effects of climatic variables on weight loss: a global analysis.

Several studies have analyzed the effects of weather on factors associated with weight loss. In this study, we directly analyzed the effect of weather on intentional weight loss using global-scale data provided by smartphone applications. Through Weather Underground API and the Noom Coach application, we extracted information on weather and body weight for each user located in each of several geographic areas on all login days. We identified meteorological information (pressure, precipitation, wind speed, dew point, and temperature) and self-monitored body weight data simultaneously. A linear mixed-effects model was performed analyzing 3274 subjects. Subjects in North America had higher initial BMIs than those of subjects in Eastern Asia. During the study period, most subjects who used the smartphone application experienced weight loss in a significant way (80.39%, p-value < 0.001). Subjects who infrequently recorded information about dinner had smaller variations than those of other subjects (ßfreq.users dinner*time = 0.007, p-value < 0.001). Colder temperature, lower dew point, and higher values for wind speed and precipitation were significantly associated with weight loss. In conclusion, we found a direct and independent impact of meteorological conditions on intentional weight loss efforts on a global scale (not only on a local level).

A Google-based approach for monitoring suicide risk.

People seeking information and news regarding suicide are likely to use the Internet. However, evidence of the relationship between suicide-related search volumes and national suicide-rates in different countries can be strikingly different. We aimed to investigate the relationship between suicide-rates and Google suicide-related search volumes in the Italian population (2008-2012) using the Italian mortality database that provided monthly national data concerning suicides (2008-2012). Moreover, this study aimed to identify future trends of national suicide rates on the basis of the results we obtained concerning the period 2013-14. Google Trends provided data of online monthly search-volumes of the term "suicide", "commit suicide" and "how to commit suicide" in Google Search and Google News (2008-2014). Google Search volumes for the term "suicide" lags suicide by three months (ρ=0.482, p-value<0.001), whereas no correlation was found between search volumes for "commit suicide" and "how to commit suicide" and national suicide rates. Google News search volumes for the three terms resulted in white noise. Apparently, online searches for suicide-related terms in Italy are more likely to be linked to factors other than suicidiality such as personal interest and suicide bereavement.