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Objective: Prediabetes has been suggested to increase risk for death; however, the definitions of prediabetes that can predict death remain elusive. We prospectively investigated the association of multiple definitions of prediabetes with the risk of death from all causes, cardiovascular disease (CVD), and cancer in Japanese workers.Research Design and Methods: The study included 62,785 workers who underwent a health checkup in 2010 or 2011 and were followed up for death from 2012 to March 2019. Prediabetes was defined according to fasting plasma glucose (FPG) or glycated hemoglobin (HbA1c) values or a combination of both using the American Diabetes Association (ADA) or World Health Organization (WHO)/International Expert Committee (IEC) criteria. The Cox proportional hazards regression model was used to investigate the associations.Results: Over a 7-year follow-up, 229 deaths were documented. Compared with normoglycemia, prediabetes defined according to ADA criteria was associated with a higher risk of all-cause mortality (hazard ratio [HR] 1.53; 95% CI 1.12-2.09) and death due to cancer (HR 2.37; 95% CI 1.45-3.89) but not with death due to CVD. The results were materially unchanged when prediabetes was defined according to ADA FPG, ADA HbA1c, WHO FPG, or combined WHO/IEC criteria. Diabetes was associated with the risk of all-cause, CVD, and cancer deaths.Conclusions: In a cohort of Japanese workers, FPG- and HbA1c-defined prediabetes, according to ADA or WHO/IEC, were associated with a significantly increased risk of death from all causes and cancer but not CVD. [ABSTRACT FROM AUTHOR]

Aims/Introduction: We examined a prospective association between serum creatinine levels and diabetes. Materials and Methods: The present study included 31,343 male workers without diabetes, and aged between 20 and 64 years at baseline. We calculated the cumulative average of their serum creatinine over the study period. We defined diabetes as either glycated hemoglobin levels ≥6.5%, random glucose levels ≥200 mg/dL, fasting glucose levels ≥126 mg/dL or receiving antidiabetic treatment. Cox proportional hazards regression analysis was carried out to estimate the hazard ratio (HR) and 95% confidence interval (CI). Results: With a median observation of 7.7 years, 2,509 participants developed diabetes. After adjusting for age, smoking, body mass index, hypertension and dyslipidemia, lower cumulative average serum creatinine levels were related to a greater diabetes risk: HRs were 1.56 (95% CI 1.35–1.82), 1.22 (1.09–1.35) and 1.06 (0.96–1.17) for the participants with serum creatinine <0.70, 0.70–0.79 and 0.80–0.89 mg/dL, respectively, compared with those with 0.90–1.20 mg/dL (P for trend <0.001). The serum creatinine‐diabetes association was more pronounced among older adults (serum creatinine <0.70 vs 0.90–1.20 mg/dL, HR 1.66, 95% CI 1.37–2.00) than younger adults (HR 1.32, 95% CI 1.02–1.71; P for interaction by age group = 0.001). Conclusions: Low serum creatinine is associated with an increased risk of diabetes. Screening serum creatinine levels can be used to identify those who are at high risk of diabetes. [ABSTRACT FROM AUTHOR]

Abstract: Aims/Introduction: We previously developed a 3‐year diabetes risk score in the working population. The objective of the present study was to develop and validate flexible risk models that can predict the risk of diabetes for any arbitrary time‐point during 7 years. Materials and Methods: The participants were 46,198 Japanese employees aged 30–59 years, without diabetes at baseline and with a maximum follow‐up period of 8 years. Incident diabetes was defined according to the American Diabetes Association criteria. With routine health checkup data (age, sex, abdominal obesity, body mass index, smoking status, hypertension status, dyslipidemia, glycated hemoglobin and fasting plasma glucose), we developed non‐invasive and invasive risk models based on the Cox proportional hazards regression model among a random two‐thirds of the participants, and used another one‐third for validation. Results: The range of the area under the receiver operating characteristic curve increased from 0.73 (95% confidence interval 0.72–0.74) for the non‐invasive prediction model to 0.89 (95% confidence interval 0.89–0.90) for the invasive prediction model containing dyslipidemia, glycated hemoglobin and fasting plasma glucose. The invasive models showed improved integrated discrimination and reclassification performance, as compared with the non‐invasive model. Calibration appeared good between the predicted and observed risks. These models performed well in the validation cohort. Conclusions: The present non‐invasive and invasive models for the prediction of diabetes risk up to 7 years showed fair and excellent performance, respectively. The invasive models can be used to identify high‐risk individuals, who would benefit greatly from lifestyle modification for the prevention or delay of diabetes. [ABSTRACT FROM AUTHOR]

Objective: Risk models and scores have been developed to predict incidence of type 2 diabetes in Western populations, but their performance may differ when applied to non-Western populations. We developed and validated a risk score for predicting 3-year incidence of type 2 diabetes in a Japanese population. Methods: Participants were 37,416 men and women, aged 30 or older, who received periodic health checkup in 2008–2009 in eight companies. Diabetes was defined as fasting plasma glucose (FPG) ≥126 mg/dl, random plasma glucose ≥200 mg/dl, glycated hemoglobin (HbA1c) ≥6.5%, or receiving medical treatment for diabetes. Risk scores on non-invasive and invasive models including FPG and HbA1c were developed using logistic regression in a derivation cohort and validated in the remaining cohort. Results: The area under the curve (AUC) for the non-invasive model including age, sex, body mass index, waist circumference, hypertension, and smoking status was 0.717 (95% CI, 0.703–0.731). In the invasive model in which both FPG and HbA1c were added to the non-invasive model, AUC was increased to 0.893 (95% CI, 0.883–0.902). When the risk scores were applied to the validation cohort, AUCs (95% CI) for the non-invasive and invasive model were 0.734 (0.715–0.753) and 0.882 (0.868–0.895), respectively. Participants with a non-invasive score of ≥15 and invasive score of ≥19 were projected to have >20% and >50% risk, respectively, of developing type 2 diabetes within 3 years. Conclusions: The simple risk score of the non-invasive model might be useful for predicting incident type 2 diabetes, and its predictive performance may be markedly improved by incorporating FPG and HbA1c. [ABSTRACT FROM AUTHOR]

Aims Few studies have examined the prevalence of diabetes using glycated hemoglobin (HbA1c), a newly recommended diagnostic test. We examined the prevalence of diabetes and pre-diabetes using both HbA1c and fasting plasma glucose (FPG) and their associations with risk factors for type 2 diabetes in a large-scale Japanese working population. Methods Participants were 47,172 men and 8280 women aged 20–69 years who received periodic health checkup in nine companies which participated in the Japan Epidemiology Collaboration on Occupational Health study. Participants were categorized into diabetes (HbA1c ≥6.5% (≥48 mmol/mol), FPG ≥126 mg/dl (≥7.0 mmol/L), or medication for diabetes), pre-diabetes (HbA1c 6.0–6.4% (42–46 mmol/mol) or FPG 110–125 mg/dl (6.1–6.9 mmol/L) among those without diabetes), and normal glucose regulation. Results The prevalence of diabetes was 8.0% and 3.3% in men and women, respectively. Of individuals with diabetes, approximately 80% were defined by HbA1c ≥6.5% (≥48 mmol/mol) criterion. The prevalence of pre-diabetes was 14.1% in men and 9.2% in women. Prevalence of these glucose abnormalities increased with advancing age, especially during mid-40s and 50s. Higher body mass index and waist circumference, hypertension, dyslipidemia, and current smoking were each associated with higher prevalence of diabetes in both men and women. Conclusions Using HbA1c and FPG criteria or current medication, one in 13 men and one in 30 women had diabetes in the present Japanese working population. Interventions targeted for those in an early stage of impaired glucose metabolism would be required to prevent diabetes. [ABSTRACT FROM AUTHOR]

Objective: To examine the association of diabetes and prediabetes with suicide deaths in a Japanese working population.Methods: A nested case-control study was conducted using data from the Japan Epidemiology Collaboration on Occupational Health Study. During 8 years of follow-up, we identified 56 registered cases of suicide death that had information on fasting plasma glucose or glycated hemoglobin A1c at any health check-up during the past 3 years prior to suicide. For each case, we randomly selected five controls matched for age, sex, and worksite. We used the latest health check-up data for analysis. We defined diabetes status based on the American Diabetes Association criteria and used a conditional logistic regression model to investigate the association.Results: Adjusted odds ratios and 95% confidence intervals for suicide death were 0.67 (0.32-1.41) and 3.53 (1.05-11.91) for prediabetes and diabetes, respectively, compared to normoglycemia. Similar results were obtained when diabetes status was exclusively defined by the fasting plasma glucose or glycated hemoglobin A1c level.Conclusion: Diabetes, but not prediabetes, was associated with a higher risk of suicide death, compared with normoglycemia, among a Japanese working population. [ABSTRACT FROM AUTHOR]