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. 2025 Aug;42(8):e70052.
doi: 10.1111/dme.70052. Epub 2025 Jun 3.

Weight loss is associated with improved daytime time in range in adults with prediabetes and non-insulin-treated type 2 diabetes undergoing dietary intervention

Affiliations

Weight loss is associated with improved daytime time in range in adults with prediabetes and non-insulin-treated type 2 diabetes undergoing dietary intervention

Souptik Barua et al. Diabet Med. 2025 Aug.

Abstract

Aims: To characterize changes in continuous glucose monitoring (CGM)-derived time in tight range (TIR) measures in individuals with prediabetes or non-insulin-treated type 2 diabetes undergoing dietary weight loss intervention and to quantify the association between weight loss and TIR improvement.

Methods: Data from the Personal Diet Study, a 6-month behavioural weight loss intervention in adults with prediabetes or non-insulin-treated type 2 diabetes [HbA1c ≤ 8.0% (64 mmol/mol), managed with diet alone or with metformin], was analysed. Participants wore a CGM for a maximum of 2 weeks at baseline and 6 months. Changes in overall, daytime (06:00 h-23:59 h) and overnight (00:00 h-05:59 h) time in 54-140 mg/dL or 3.0-7.8 mmol/L (TIR54-140), 70-140 mg/dL or 3.9-7.8 mmol/L (TIR70-140) and >140 mg/dL or >7.8 mmol/L (TAR>140) were analysed. The association between weight change and TIR change adjusted for demographic and clinical covariates was computed using linear regression.

Results: Baseline and 6 months CGM data from 76 participants (63 ± 8 years, 62% female, 64% White, BMI 33 ± 5 kg/m2, HbA1c 5.8 ± 0.6%) were analysed. Overall TIR54-140 increased (3.3% [0.3, 6.3]%; p = 0.03), with improvement in daytime (3.8% [0.9, 6.8]%; p = 0.01) but not overnight TIR54-140 (2.0% [-2.2, 6.1]%; p = 0.36). In adjusted analysis, every 5% points of weight loss was associated with a 3.2% points increase in overall TIR54-140 (p = 0.016), driven by a 3.5% points increase in daytime TIR54-140 (p = 0.006). Similar associations were found for TAR>140 but not TIR70-140. There were no associations between weight loss and change in any overnight TIR measure.

Conclusion: Weight loss was associated with improved daytime TIR54-140 and TAR>140 in individuals with prediabetes and non-insulin-treated type 2 diabetes undergoing dietary intervention. The daytime time in tight range measures can complement traditional markers like HbA1c, offering a more comprehensive view of glycaemic variations during dietary weight loss programmes for individuals with prediabetes and type 2 diabetes not on insulin.

Keywords: type 2 diabetes.

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References

REFERENCES

    1. Lind M, Polonsky W, Hirsch IB, et al. Continuous glucose monitoring vs conventional therapy for glycemic control in adults with type 1 diabetes treated with multiple daily insulin injections: the GOLD randomized clinical trial. JAMA. 2017;317:379‐387. doi:10.1001/jama.2016.19976
    1. Aleppo G, Ruedy KJ, Riddlesworth TD, et al. REPLACE‐BG: a randomized trial comparing continuous glucose monitoring with and without routine blood glucose monitoring in adults with well‐controlled type 1 diabetes. Diabetes Care. 2017;40:538‐545. doi:10.2337/dc16-2482
    1. Beck RW, Riddlesworth TD, Ruedy K, et al. Continuous glucose monitoring versus usual Care in Patients with Type 2 diabetes receiving multiple daily insulin injections: a randomized trial. Ann Intern Med. 2017;167:365‐374. doi:10.7326/M16-2855
    1. Beck RW, Bergenstal RM, Riddlesworth TD, et al. Validation of time in range as an outcome measure for diabetes clinical trials. Diabetes Care. 2019;42:400‐405. doi:10.2337/dc18-1444
    1. Yang J, Yang X, Zhao D, Wang X, Wei W, Yuan H. Association of time in range, as assessed by continuous glucose monitoring, with painful diabetic polyneuropathy. J Diabetes Investig. 2021;12:828‐836. doi:10.1111/jdi.13394