Fasting Glucose and All-Cause Mortality by Age in Diabetes: A Prospective Cohort Study

Increased hepatic gluconeogenesis and type 2 diabetes mellitus

Abnormally increased hepatic gluconeogenesis is a significant contributor to hyperglycemia in the fasting state in patients with type 2 diabetes mellitus (T2DM) due to insulin resistance. Metformin, the most prescribed drug for the treatment of T2DM, is believed to exert its effect mainly by reducing hepatic gluconeogenesis. Here, we discuss how increased hepatic gluconeogenesis contributes to T2DM and we review newly revealed mechanisms underlying the attenuation of gluconeogenesis by metformin. In addition, we analyze the recent findings on new determinants involved in the regulation of gluconeogenesis, which might ultimately lead to the identification of novel and targeted treatment strategies for T2DM.

Fasting plasma glucose levels are associated with all-cause and cancer mortality: A population-based retrospective cohort study

Despite a growing body of research indicating a link between fasting glucose levels and mortality, the relationship between fasting glucose and all-cause and cancer mortality remains inconsistent. In this study, we used Cox regression and restricted cubic spline models to analyze the association and dose-response relationship between fasting plasma glucose levels and all-cause and cancer mortality in a retrospective cohort based on data from the 2015 health check-ups of residents in Quzhou City. After a mean follow-up of 5.31 years for 148,755 study participants, 10,345 deaths occurred, with an all-cause mortality density of 131.09/10,000 person-years, of which 2,845 were cancer deaths, with a cancer mortality density of 36.05/10,000 person-years. There was a "J" shaped dose-response relationship between fasting plasma glucose levels and all-cause and cancer mortality. Relative to normal fasting glucose (NFG), the risk of all-cause mortality (HRs and 95% CIs) in the impaired fasting glucose (IFG) and diabetes mellitus (DM) groups was 1.11 (1.06, 1.16) and 1.43 (1.35, 1.52), respectively, and the risk of cancer mortality in the DM group was 1.22 (1.09, 1.37). In this cohort study, we found that fasting plasma glucose levels were significantly associated with the risk of all-cause and cancer mortality.

Predictive Value of Triglyceride-Glucose Index for All-Cause and Cardiovascular Mortality in Patients With Diabetes Mellitus: A Retrospective Study: TyG Index and Mortality in Diabetes

Objective: To determine the associations between triglyceride-glucose (TyG) index and mortality from all causes and cardiovascular causes in diabetic population. Methods: 3349 participants with diabetes mellitus (DM) from the 1999-2014 National Health and Nutrition Examination Surveys (NHANES), aged 18-85 years were included and grouped based on the TyG index in quintiles. Mortality was followed up through December 31th, 2015. Cox proportional hazards models were used to assess the hazard ratios (HRs) and 95% confidence intervals (CIs). We clarified the shape of association between TyG index and mortality using restricted cubic splines and piecewise linear regression. Results: After a median follow-up period of 82 months, 800 (23.9%) deaths occurred, of which 190 (5.7%) were due to cardiovascular causes. Participants in the top quintile had higher risks of all-cause mortality (HR, 1.38; 95% CI, 1.04-1.48) and cardiovascular mortality (HR, 2.43; 95% CI, 1.32-4.45) than those in the lowest quintile. TyG index and all-cause mortality had a J-shaped relationship with a threshold value of 9.32, while TyG index and cardiovascular mortality had a reversed L-shaped relationship with a threshold value of 9.37. Higher TyG index was associated with increased risks of all-cause mortality (per SD increment, HR, 1.52; 95% CI, 1.27-1.82) and cardiovascular mortality (per SD increment, HR, 2.17; 95% CI, 1.54-3.04) when above the threshold values. The sensitivity analyses demonstrated similar findings. Conclusions: TyG index in diabetic patients was nonlinearly correlated with mortality risks, potentially predicting all-cause and cardiovascular mortality.

Associations of fasting plasma glucose with all-cause mortality and cardiovascular events in older Chinese diabetes patients: A population-based cohort study

AIMS/INTRODUCTION

Our aim was to investigate the optimal fasting glucose (FPG) range in Chinese older adults with type 2 diabetes, and to clarify whether the optimal range varies according to the control of risk factors.

MATERIALS AND METHODS

The baseline survey for the cohort study began in 2018, with follow up ending in 2022. Our study enrolled 59,030 older diabetes patients with no history of cardiovascular disease (CVD). Participants were divided into nine groups based on their baseline glycemic status. The association between FPG and the risk of adverse outcomes was mainly estimated by multivariate Cox proportional risk models and restricted spline analysis.

RESULTS

During the 4-year follow-up period, a total of 5,637 deaths and 4,904 CVD events occurred. The associations of FPG with mortality and CVD events showed J-shaped curves. Among all-cause deaths, the hazard ratios for FPG ≤4.50 and >11.50 mmol/L were 1.50 (95% confidence interval [CI] 1.31-1.71) and 1.84 (95% CI 1.67-2.02). Among CVD, the hazard ratios for FPG ≤4.50 and >11.50 mmol/L were 1.31 (95% CI 1.13-1.53) and 1.71 (95% CI 1.54-1.89), respectively. The optimal FPG ranges of all-cause mortality and CVD were 5.50-7.50 and 4.50-7.50 mmol/L, respectively. For participants with at least two risk factors, the optimal FPG levels were higher than those with fewer risk factors.

CONCLUSIONS

In older Chinese diabetes patients, the FPG ranges related to the minimum death and CVD event rates were 5.50-7.50 and 4.50-7.50 mmol/L, respectively. Patients with more cardiovascular risk factors had higher optimal blood glucose ranges than those with fewer risk factors.

Gluconeogenesis Flux in Metabolic Disease

Gluconeogenesis is a critical biosynthetic process that helps maintain whole-body glucose homeostasis and becomes altered in certain medical diseases. We review gluconeogenic flux in various medical diseases, including common metabolic disorders, hormonal imbalances, specific inborn genetic errors, and cancer. We discuss how the altered gluconeogenic activity contributes to disease pathogenesis using data from experiments using isotopic tracer and spectroscopy methodologies. These in vitro, animal, and human studies provide insights into the changes in circulating levels of available gluconeogenesis substrates and the efficiency of converting those substrates to glucose by gluconeogenic organs. We highlight ongoing knowledge gaps, discuss emerging research areas, and suggest future investigations. A better understanding of altered gluconeogenesis flux may ultimately identify novel and targeted treatment strategies for such diseases.

6-Year trajectory of fasting plasma glucose (FPG) and mortality risk among individuals with normal FPG at baseline: a prospective cohort study

BACKGROUND

Higher fasting plasma glucose (FPG) levels were associated with an increased risk of all-cause mortality; however, the associations between long-term FPG trajectory groups and mortality were unclear, especially among individuals with a normal FPG level at the beginning. The aims of this study were to examine the associations of FPG trajectories with the risk of mortality and identify modifiable lifestyle factors related to these trajectories.

METHODS

We enrolled 50,919 individuals aged ≥ 20 years old, who were free of diabetes at baseline, in the prospective MJ cohort. All participants completed at least four FPG measurements within 6 years after enrollment and were followed until December 2011. FPG trajectories were identified by group-based trajectory modeling. We used Cox proportional hazards models to examine the associations of FPG trajectories with mortality, adjusting for age, sex, marital status, education level, occupation, smoking, drinking, physical activity, body mass index, baseline FPG, hypertension, dyslipidemia, cardiovascular disease or stroke, and cancer. Associations between baseline lifestyle factors and FPG trajectories were evaluated using multinomial logistic regression.

RESULTS

We identified three FPG trajectories as stable (n = 32,481), low-increasing (n = 17,164), and high-increasing (n = 1274). Compared to the stable group, both the low-increasing and high-increasing groups had higher risks of all-cause mortality (hazard ratio (HR) = 1.18 (95% CI 0.99-1.40) and 1.52 (95% CI 1.09-2.13), respectively), especially among those with hypertension. Compared to participants with 0 to 1 healthy lifestyle factor, those with 6 healthy lifestyle factors were more likely to be in the stable group (ORlow-increasing = 0.61, 95% CI 0.51-0.73; ORhigh-increasing = 0.20, 95% CI 0.13-0.32).

CONCLUSIONS

Individuals with longitudinally increasing FPG had a higher risk of mortality even if they had a normal FPG at baseline. Adopting healthy lifestyles may prevent individuals from transitioning into increasing trajectories.

Assessment of Finger Fat Pad Effect on CSRR-Based Sensor Scattering Parameters for Non-Invasive Blood Glucose Level Detection

This paper examines the effect of finger fat pad thickness on the accuracy performance of complementary split-ring resonator (CSRR)-based microwave sensors for non-invasive blood glucose level detection. For this purpose, a simplified four-layer Cole-Cole model along with a CSRR-based microwave sensor have been comprehensively analyzed and validated through experimentation. Computed scattering parameter (S-parameter) responses to different fat layer thicknesses are employed to verify the concordance of the studied model with the measurement results. In this respect, a figure of merit (FM) based on the normalized squared difference is introduced to assess the accuracy of the considered Cole-Cole model. We have demonstrated that the analyzed model agrees closely with the experimental validation. In fact, the maximum error difference for all five fingertips does not exceed 1.73 dB over the entire frequency range of interest, from 1 GHz to 4 GHz.

Data-Driven Machine-Learning Methods for Diabetes Risk Prediction

Diabetes mellitus is a chronic condition characterized by a disturbance in the metabolism of carbohydrates, fats and proteins. The most characteristic disorder in all forms of diabetes is hyperglycemia, i.e., elevated blood sugar levels. The modern way of life has significantly increased the incidence of diabetes. Therefore, early diagnosis of the disease is a necessity. Machine Learning (ML) has gained great popularity among healthcare providers and physicians due to its high potential in developing efficient tools for risk prediction, prognosis, treatment and the management of various conditions. In this study, a supervised learning methodology is described that aims to create risk prediction tools with high efficiency for type 2 diabetes occurrence. A features analysis is conducted to evaluate their importance and explore their association with diabetes. These features are the most common symptoms that often develop slowly with diabetes, and they are utilized to train and test several ML models. Various ML models are evaluated in terms of the Precision, Recall, F-Measure, Accuracy and AUC metrics and compared under 10-fold cross-validation and data splitting. Both validation methods highlighted Random Forest and K-NN as the best performing models in comparison to the other models.

Efficacy of iGlarLixi on 5-year risk of diabetes-related complications: A simulation study

OBJECTIVE

This study simulated the 5-year risk of diabetes complications associated with the use of iGlarLixi, a fixed-ratio combination of insulin glargine 100 U/ml and lixisenatide, in type 2 diabetes (T2D) using the BRAVO diabetes model.

METHODS

The six-month efficacy data of iGlarLixi and Standard of Care (SOC) were extracted from the LixiLan-O (NCT02058147) and ORIGIN (NCT00069784) trials, respectively. The trial participants' baseline characteristics were standardized to the ACCORD trial through a matching method. The BRAVO diabetes simulation model was used to project the 5-year complications based on T2D people baseline characteristics and treatment efficacy. An optimistic scenario where the six-month relative efficacy of iGlarLixi (i.e., iGlarlixi-SOC) lasted for 5 years, and a conservative scenario where the relative effect of iGlarLixi waned to none within 5 years were simulated.

RESULTS

iGlarLixi compared with SOC was found to reduce HbA1c (-1.4%), SBP (-3.4 mm Hg), and BMI (-0.6 kg/m²) in six months. We simulated a 5-year risk reduction in major adverse cardiovascular events (MACE) (relative risk [RR] 0.77, 95% CI: 0.67-0.88), and all-cause mortality (RR 0.94, 95% CI: 0.92-0.96) under an optimistic scenario, and MACE (RR 0.86, 95% CI: 0.75-0.96), and all-cause mortality (RR 0.96, 95% CI: 0.92-0.98) under a conservative scenario.

CONCLUSIONS

The long-term use of iGlarLixi may lead to a substantial reduction in diabetes-related complications among people with T2D at elevated risk for CVD. The use of a simulation model to evaluate outcomes of treatment in a well-characterized patient cohort is novel. Such an approach may serve as a template for future evaluation of medications and combinations when the effect of a treatment is known, but a long-term outcome trial is not feasible.

Sensitivity-Enhanced Fluidic Glucose Sensor Based on a Microwave Resonator Coupled With an Interferometric System for Noninvasive and Continuous Detection

In this paper, a microwave fluidic glucose sensor based on a microwave resonator coupled with an interferometric system is proposed for sensitivity enhancement. The proposed glucose sensor consists of two parts: a sensing part and a sensitivity enhancement part. The former is composed of a rectangular complementary split ring resonator (CSRR), and the latter is composed of a variable attenuator, a variable phase shifter, two hybrid couplers, and an RF power detector. Because the variation in the electrical properties, which is utilized in the microwave detection scheme, with glucose concentration over the possible concentration range in the human body is very small, improvement of the sensitivity is critical for practical use. Thus, the effective sensing area of the rectangular CSRR is determined by considering the electric field distribution. In addition, magnitude and phase conditions for the effective sensitivity enhancement are derived from a mathematical analysis of the proposed interferometric system. In the present experiment, aimed at demonstrating the detection performance as a function of the glucose concentration in the range of 0 mg/dL to 400 mg/dL, the sensitivity is significantly improved by 48 times by applying the derived conditions for effective sensitivity enhancement. Furthermore, the accuracy of the proposed glucose sensor for glucose concentrations at a step of 100 mg/dL is verified by the Clarke error grid. Based on the measurement results, the proposed glucose sensor is demonstrated to be applicable to noninvasive and continuous monitoring in practical environments.

Low-level lead exposure promotes hepatic gluconeogenesis and contributes to the elevation of fasting glucose level

BACKGROUND

Lead (Pb) is considered an endocrine-disrupting chemical. However, few studies have investigated the effects of low-level Pb exposure on plasma glucose levels. Herein, we aimed to investigate whether low-level Pb exposure causes elevated plasma glucose levels and the possible mechanisms involved.

METHODS

We conducted a cross-sectional study of 5747 participants from 16 sites in China. The participants underwent measurements of anthropometric factors, blood lead level (BLL) and fasting plasma glucose (FPG). Wistar rats were exposed to 0.05% Pb through drinking water or fed with a high-fat diet (HFD) for 28 weeks. The relevant parameters of glucose homeostasis, hepatic glucose production (HGP) and gene expression levels of hepatic gluconeogenesis enzymes, including phosphoenolpyruvate carboxy kinase (PEPCK), glucose-6-phosphatase (G6PC) and fructose-1,6-bisphosphatase (FBP1), were measured. In addition, gene expression levels of gluconeogenesis enzymes were also measured in HepG2 cells administered with different concentrations of lead acetate for 24 h.

RESULTS

In humans, after adjusting for confounders, the odds of having High_FPG (≥5.6 mmol/L) were significantly increased by 25% in the participants in the fourth BLL quartile (OR 1.25, 95% CI 1.05, 1.49). In the animals exposed to 0.05% Pb, FPG, HGP and hepatic gene expression levels of PEPCK, G6PC and FBP1 were increased. In addition, the mRNA expression levels of PEPCK, G6PC and FBP1 in HepG2 cells were also increased in response to Pb exposure.

CONCLUSIONS

These findings support the possibility that low-level Pb exposure may increase HGP by affecting key enzymes of hepatic gluconeogenesis, eventually resulting in impaired FPG and hyperglycemia.

Physical activity and fasting glucose in adults with abnormal glucose metabolism: Findings from two independent cross-sectional studies in China

BACKGROUND

Relationship between physical activity and fasting glucose in people with abnormal glucose metabolism is not well-known. This study was to investigate dose-response association between physical activity (PAT) and fasting glucose from two independent surveys among Chinese adults with abnormal glucose metabolism.

METHODS

9419 adults with abnormal glucose metabolism from two independent surveys among Chinese adults were analyzed. Demographics, level of fasting glucose and PAT (in Met Score) were measured. Dose-response relationship between fasting glucose and PAT was assessed by natural cubic spline model. Certain threshold point was identified, and linear regression models were then used within each threshold interval to assess the liner relationship functions. Models were adjusted for confounding factors and were stratified in subgroup analyses by the main population characteristics including survey site, gender and age-group.

RESULTS

Overall the relationship between PAT and fasting glucose was not in a linear association (Linearity test: p < 0.0001). Level of fasting glucose was not associated with amount of PAT until a threshold point (square-rooted Met Score 66.6 (original Met score: 4436 MET-minutes per week), 95% confidence intervals (65.2-69.3 (4,251-4,802 MET-minutes per week)). After this threshold, an inverse association was observed: each increase of every standard deviation of square-rooted Met Score 29.8 (888 MET-minutes per week) was associated with a 0.25 mmol/L decrease in fasting glucose, with adjustment for confounding factors. The patterns of relationship were tested to be consistent in subgroup analyses by survey site, gender and age group.

CONCLUSIONS

Our study indicated that among adults with abnormal glucose metabolism the level of fasting glucose was only inversely associated with square-rooted Met Score beyond a certain square-rooted Met Score amount.

Association of malnutrition with all-cause mortality in the elderly population: A 6-year cohort study

BACKGROUND AND AIMS

Few studies have explored the association between malnutrition, defined by the Geriatric Nutritional Risk Index (GNRI), and all-cause mortality, particularly in the Chinese population. This study aimed to investigate the association between the GNRI and all-cause mortality in the elderly population.

METHODS AND RESULTS

Participants aged ≥60 years were eligible for this study and were divided into three groups by the GNRI: An adequate nutrition group, participants with a GNRI ≥98; mild malnutrition group, participants with a GNRI ≥82 but <98; and a severe malnutrition group, participants with a GNRI <82. The results implied that there was a positive association between severe malnutrition and all-cause mortality in the total population (hazard ratio (HR): 2.591 and 95% confidence interval (CI): 1.729-3.884), male subjects (HR: 2.903 and 95% CI: 1.718-4.906), and female subjects (HR: 2.081 and 95% CI: 1.071-4.046). Similar associations between severe malnutrition and all-cause mortality were observed in both the 60-69 and 70-79 years age groups (HR: 2.863 and 2.600, 95% CI: 1.444-5.678 and 1.394-4.849, respectively). However, no significant association was observed between mild malnutrition and all-cause mortality.

CONCLUSIONS

Severe malnutrition could increase all-cause mortality in the 60- to 79-year-old population. However, there was no association of mild malnutrition with all-cause mortality.

Effect of Changes in Patient's Self-management Strategies on Clinical Outcomes: Evidence from a Cohort Study of Patients with Diabetes, Hypertension, and Hyperlipidemia

BACKGROUND

Self-management has become the dominant care model for chronic disease management. This study aimed to investigate the effect of changes in self-management strategies on the clinical outcomes of chronic diseases.

METHODS

Two hundred ninety-seven patients with one or more chronic disease (diabetes, dyslipidemia, or hypertension) were registered and followed in this prospective cohort study. We compared differences in the changes in clinical outcomes from baseline to 6 months according to the improvement of self-management strategies by analysis of covariance.

RESULTS

Diabetic patients with improved self-management strategies showed a significantly greater change in HbA1c levels compared to patients without improvement of self-management strategies (group difference in HbA1c = 0.51%). In hypertensive patients, systolic and diastolic blood pressure (BP) showed a significant decline in the patients with improved self-management strategies (group difference in systolic BP = 6.2 mmHg and in diastolic BP = 5.5 mmHg). Clinical outcomes improved significantly when self-management strategies improved in people with a poor self-management strategy at baseline.

CONCLUSIONS

This study suggests that improvements in self-management strategies are associated with an improvement in clinical outcomes among patients with chronic diseases, especially for those with an initially poor self-management strategy.

The sweet spot: fasting glucose, cardiovascular disease, and mortality in older adults with diabetes: a nationwide population-based study

Background

Growing evidences shows that fasting glucose target should be different according to their health condition in older adults with diabetes. However, there are limited data regarding the relationship between fasting glucose level and health outcomes in Korean older people with diabetes. We aimed to examine the association of fasting glucose with mortality and cardiovascular events in Korean older adults with type 2 diabetes.

Methods

From the Korean National Health Insurance System, 227,938 subjects (aged ≥ 65 years) with type 2 diabetes but no history of cardiovascular events (myocardial infarction or stroke) who underwent ≥ 2 health examinations from 2009 to 2010 and who were followed up until 2017 were identified. The primary exposure variable was the mean fasting glucose level. We estimated the relationship between the baseline fasting glucose level and incidences of all-cause death and cardiovascular events. Comorbidity load was assessed using the Charlson comorbidity index.

Results

Fasting glucose levels and all-cause mortality risk showed a J-shaped relationship regardless of sex and number of comorbidities. Fasting glucose levels associated with the lowest mortality and cardiovascular events were 110–124 and 95–124 mg/dL, respectively. Stratified analysis by comorbidity load using the Charlson comorbidity index revealed higher optimal fasting glucose levels for the lowest cardiovascular events in subjects with Charlson comorbidity index ≥ 3 than in those with Charlson comorbidity index ≤ 2 (119 vs. 112 mg/dL, P = 0.04).

Conclusions

J-shaped relationship existed between fasting glucose and all-cause mortality and cardiovascular events in Korean older adults with diabetes. We identified that fasting glucose levels associated with the lowest mortality and cardiovascular events were 110–124 and 95–124 mg/dL respectively. Increased risk of cardiovascular events with low fasting glucose level (< 95 mg/dL) was noted, especially in patients with high comorbidity. These findings suggested that less stringent targets of fasting glucose may be beneficial especially in older adults with multiple comorbidities.

Effects of sodium-glucose cotransporter 2 inhibitors on hypoglycaemia in brittle diabetic patients with decreased endogenous insulin secretion

AIMS

The effects of sodium-glucose cotransporter 2 inhibitors (SGLT2Is) on fasting blood glucose concentration (FBG) in patients with unstable FBG despite undergoing intensive insulin therapy (IIT) remain unclear. This study aimed to identify the effects of SGLT2Is on unstable FBGs.

MATERIALS AND METHODS

Thirty brittle diabetic patients with unstable FBGs despite undergoing IIT were included in the study. SGLT2Is were added and used in combination. We evaluated the data of the subjects in Evaluation 1 (immediately before using SGLT2Is) and evaluations 2, 3 and 4 (4, 24 and 48 weeks after starting concomitant therapy, respectively). FBGs were measured every day for a period of 28 days immediately before conducting Evaluations 1, 2, 3 and 4. The mean value of the 28 sets of FBG data (FBG mean) and their standard deviation (SD) values were established as each evaluation's FBGs. The changes in the mean values of the 30 subjects as well as their SD before and after concomitant therapy were evaluated.

RESULTS

The concomitant use of SGLT2Is helped reduce not only FBG mean but also SD. FBG max dropped, and the frequency of occurrence of hyperglycaemic FBG (>11.1 mmol/L) decreased. However, FBG min did not drop, and the frequency of occurrence of hypoglycaemic FBG (<3.9 mmol/L) increased. The frequency of occurrence of subjective hypoglycaemia decreased. The decrease in the SD of FBG was related to the decrease in subjective hypoglycaemia.

CONCLUSION

Concomitant use of SGLT2Is in patients with brittle diabetes appears to be useful in terms of improvement of FBG and fewer occurrences of hypoglycaemic events.

Temperature-Corrected Fluidic Glucose Sensor Based on Microwave Resonator

In this paper, a fluidic glucose sensor that is based on a complementary split-ring resonator (CSRR) is proposed for the microwave frequency region. The detection of glucose with different concentrations from 0 mg/dL to 400 mg/dL in a non-invasive manner is possible by introducing a fluidic system. The glucose concentration can be continuously monitored by tracking the transmission coefficient S21 as a sensing parameter. The variation tendency in S21 by the glucose concentration is analyzed with equivalent circuit model. In addition, to eradicate the systematic error due to temperature variation, the sensor is tested in two temperature conditions: the constant temperature condition and the time-dependent varying temperature condition. For the varying temperature condition, the temperature correction function was derived between the temperature and the variation in S21 for DI water. By applying the fitting function to glucose solution, the subsidiary results due to temperature can be completely eliminated. As a result, the S21 varies by 0.03 dB as the glucose concentration increases from 0 mg/dL to 400 mg/dL.

Association Between Body Mass Index and the Risk of Hip Fracture by Sex and Age: A Prospective Cohort Study

The association between body mass index (BMI) and hip fracture may differ by ethnic group. We examined the association between BMI and hip fracture according to sex and age and to identify BMI ranges associated with the lowest risk in Korean men and women. We followed up 288,068 Korean adults (aged 50 to 80 years), who underwent health examinations in 2002-03 to 2013; we examined national hospital discharge records. Hazard ratios (HRs) were calculated using Cox proportional hazard models after adjusting for confounders. During a mean follow-up period of 10.5 years, 1502 men and 2432 women suffered a hip fracture. Nonlinear associations were observed between BMI and hip fracture: a U-curve for women and a reverse J-curve for men. Men with BMIs of 27.5 to 29.9 kg/m² and women with BMIs of 25 to 27.4 kg/m² showed the lowest incidence of hip fracture. The multivariate-adjusted HRs for hip fracture per 5 kg/m² decrease in BMI were 2.09 (95% confidence interval [CI] 1.83-2.38) and 1.34 (95% CI 1.19-1.51) in men and women with BMI <25 kg/m² . The HRs were generally highest in the age group of 50 to 59 years (HR = 3.42 in men and 2.27 in women) and thereafter decreased with age. Among participants with BMI ≥25 kg/m² , the HRs for hip fracture per 5 kg/m² increase in BMI were 1.26 (95% CI 1.08-1.47) in women and 0.91 (95% CI 0.62-1.33) in men. In conclusion, the overweight range of BMI was associated with the lowest risk of hip fracture. Lower BMI was a risk factor for hip fracture, whereas obesity was associated with an increased risk of hip fracture, particularly in women. Overweight may be protective against hip fracture in Asian adults but not obesity. © 2018 American Society for Bone and Mineral Research.

Low normal fasting glucose and risk of accidental death in Korean adults: A prospective cohort study

AIM

This study aimed to prospectively examine whether low normal glucose levels and hypoglycaemia are associated with increased mortality due to external causes, especially unintentional accidents.

METHODS

A total of 345,318 normoglycaemic Korean adults who had undergone health examinations during 2002-2003 were followed-up to 2013. To avoid potential biases related to glucose-lowering medication use, those with known diabetes or hyperglycaemia were excluded.

RESULTS

During 3.6 million person-years of follow-up, 1293 participants died because of unintentional accidents. Hazard ratios (HRs) for these accidental deaths were 1.26 (95% CI: 1.11-1.42), 1.60 (1.21-2.11) and 3.07 (1.37-6.85) for fasting serum glucose (FSG) levels of 70-79, 55-69 and <55mg/dL (3.9-4.4, 3.05-3.83 and <3.05mmol/L), respectively, compared with 80-99mg/dL (4.44-5.5mmol/L). FSG levels<80mg/dL were associated with an approximately 30% higher mortality due to accidents: specifically, 40% were non-fall-related injury; 50% were automobile-related; and 80% were motorcycle-related. The associations were weak (approximately 10% higher mortality, with P>0.05 for each cause) for deaths due to traffic accidents (pedestrians, pedal cyclists), falls, intentional self-harm and physical assault. The population attributable risks for FSG levels <80mg/dL were 10% (95% CI: 2-18%) for non-fall-related injury, 11% (6-17%) for car accidents and 17% (6-27%) for motorcycle accidents.

CONCLUSION

FSG levels of 70-79mg/dL (3.9-4.4mmol/L) as well as <70mg/dL are risk factors for accidental death. Appropriate management of the impact of FSG levels <80mg/dL might reduce unintended deaths due to non-fall-related injury, and automobile and motorcycle accidents, by ≥10%.