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Objective: This study investigated the association of Time In Range (TIR) obtained from Blood Glucose Monitoring (BGM) with Cognitive Impairment (CI) inpatients with middle-aged Type 2 Diabetes Mellitus (T2DM) and further explored whether a TIR goal for T2DM in adults with > 70% possess a protective effect on cognitive function. Research design and methods: A total of 274 inpatients with T2DM aged 40–64 years, who underwent seven-point BGM (pre meals and 120 min post meals and at bedtime) were recruited in this cross-sectional study. TIR was defined as the percentage of blood glucose within the target range of 3.9-10.0mmol/L. Subjects were divided into Normal Cognitive Function (NCF) (n = 160) and CI (n = 114) groups according to the results of the Montreal Cognitive Assessment (MoCA) and Mini-Mental State Examination (MMSE). The association of TIR and other glycemic metrics, calculated from seven-point BGM data, with cognitive dysfunction was analyzed. Results: The prevalence of CI was 41.6% in patients with middle-aged T2DM (median age 58 years). TIR was lower in CI group than in NCF group (28.6% vs. 42.9%, P = 0.004). The prevalence of CI decreased with ascending tertiles of TIR (p for trend < 0.05). Binary logistic regression analysis showed a significant association between TIR and CI (odds ratio [OR] = 0.84, p < 0.001) after adjusting for confounders (age, education, marital status, age at Diabetes Mellitus (DM) onset, cerebrovascular disease). Further adjustment of Standard Deviation (SD)(OR = 0.84, p = 0.001) or Coefficient of Variation (CV)(OR = 0.83, p < 0.001), TIR was still associated with CI. While a TIR goal of > 70% probably possessed independent protective effect on cognitive function (OR = 0.25, p = 0.001) after controlling for confounders above. Conclusions: TIR obtained from BGM was related to CI in middle-aged T2DM individuals and a TIR goal of > 70% probably possessed a protective effect on cognitive function for middle-aged T2DM. [ABSTRACT FROM AUTHOR]

Aims: Insulin resistance (IR) is an important risk factor for obesity and cardiometabolic diseases, and our previous findings have demonstrated that visceral fat area to skeletal muscle mass ratio (VSR) is significantly and positively associated with the risk of cardiometabolic diseases. Hence, this study aimed to investigate the relationship between VSR and multiorgan IR, provide a new approach to improve body composition, and set the basis for VSR to increase the incidence of cardiometabolic diseases. Materials and Methods: The study included 398 patients who underwent anthropometric and biochemical measurements, and body composition assessment. Spearman correlation analysis was used to investigate the correlation between VSR and homeostatic model assessment for insulin resistance (HOMA‐IR) as well as multiorgan IR, including homeostasis model assessment adiponectin (HOMA‐AD), adipose tissue insulin resistance (ADIPO‐IR), and hepatic insulin sensitivity (HISI). The new model that incorporated into the present study is made up of easily measured biochemical indicators and is used to predict IR. Logistic regression was used to analyze the odds ratio (OR) of VSR on the risk of multiorgan IR. The predictive value of VSR for HOMA‐IR and new model was evaluated using the receiver operating characteristic (ROC) curve. Results: VSR was significantly associated with HOMA‐IR, HOMA‐AD, ADIPO‐IR, 1/HISI, and new model (p < 0.001). With the increase of VSR, the OR increased significantly for HOMA‐IR and new model (p < 0.001). Then, multiorgan IR indicators were quantified, compared to the lowest quartile group, and increased VSR exacerbated the risk of IR in the highest quartile (ptrend < 0.001). The area under the curve for predicting IR using VSR for HOMA‐IR and new model was 0.88 for men, 0.85 for women and 0.73 for men, 0.76 for women, respectively. Conclusions: There was significant correlation between VSR and multiorgan IR, and the risk of multiorgan IR increased with increasing VSR. Trial Registration: Clinical Trial Registry identifier: ChiCTR2100044305. [ABSTRACT FROM AUTHOR]

Background: The relationship between sleep duration and anthropometric indices are still unclear. This study aimed to explore the association between sleep duration and body mass index (BMI), percentage of body fat (PBF) and visceral fat area (VFA) among Chinese adults, further to explore gender difference in it. Methods: We analyzed part of the baseline data of a cohort study among adult attendees at two health-screening centers in China. Sleep duration was self-reported and categorized into short (< 7 h/day), optimal (7-9 h/day) and long sleep (≥ 9 h/day). BMI, PBF and VFA were assessed by bioelectric impedance analysis. Demographic characteristics, chronic diseases and medication history, physical activity, smoking and alcohol drinking behaviors were measured by an investigator-administrated questionnaire. Results: A total of 9059 adult participants (63.08% were females) were included in the analysis. The participants aged from 19 to 91 years with the mean age of 45.0 ± 14.6 years. Short sleep was independently associated with elevated odds of general obesity (defined using BMI) and visceral obesity (defined using VFA) among the total study population, and gender differences were observed in these associations. Among women, short sleep was associated with 62% increased odds of general obesity (OR = 1.62, 95% CI: 1.24-2.12) and 22% increased odds of visceral obesity (OR = 1.22, 95% CI: 1.02-1.45). Among men, long sleep duration was associated with 21% decreased odds of visceral obesity (OR = 0.79, 95% CI: 0.64-0.99). No association was observed between sleep duration and PBF in both sexes. Conclusions: Sleep duration was associated with increased odds of general and visceral obesity, and this association differed between men and women. No association was observed between sleep duration and PBF among either males or females. [ABSTRACT FROM AUTHOR]