Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2022 Nov;13(11):1825-1833.
doi: 10.1111/jdi.13876. Epub 2022 Jul 11.

Time in range assessed by capillary blood glucose in relation to insulin sensitivity and β-cell function in patients with type 2 diabetes mellitus: A cross-sectional study in China

Affiliations

Time in range assessed by capillary blood glucose in relation to insulin sensitivity and β-cell function in patients with type 2 diabetes mellitus: A cross-sectional study in China

Jingwen Ye et al. J Diabetes Investig. 2022 Nov.

Abstract

Aims: This study investigated the association of capillary blood glucose (CBG)-assessed time in range (TIR) (3.9-10.0 mmol/L) with insulin sensitivity and islet β-cell function.

Materials and methods: We recruited 455 patients with type 2 diabetes mellitus. Seven-point glucose-profile data (pre- and 120 min post-main meals, bedtime) were collected over three consecutive days. Plasma glucose and serum insulin concentrations were measured at 0, 60, and 120 min after a 100 g standard steamed bread meal test. The homeostasis model assessment of insulin resistance (HOMA-IR) and Matsuda index were computed to evaluate insulin resistance. The HOMA of β-cell function (HOMA-β) and the area under the curve between insulin and blood glucose (IAUC0-120 /GAUC0-120 ) were used to estimate β-cell function.

Results: TIR was positively correlated with the 60 and 120 min insulin values, IAUC0-120 , the Matsuda index, HOMA-β, and IAUC0-120 /GAUC0-120 (rs : 0.154, 0.129, 0.137, 0.194, 0.341, and 0.334, respectively; P < 0.05) but inversely correlated with HOMA-IR (rs : -0.239, P < 0.001). After adjusting for confounders, multinomial multiple logistic regression analysis revealed that the odds ratios (ORs) of achieving the target time in range (>70%) increased by 12% (95% confidence interval [CI]: 3-21%), 7% (95% CI: 1-14%), 10% (95% CI: 5-16%), and 45% (95% CI: 25-68%) for each 10 mIU/L increase in the 60 and 120 min insulin values, 10 unit increase in HOMA-β, and unit increase in IAUC0-120 /GAUC0-120 , respectively (P < 0.05). Nevertheless, the OR decreased by 10% (95% CI: 1-18%) for each unit increase in HOMA-IR (P < 0.05).

Conclusions: Insulin resistance and islet β-cell function are related to capillary blood glucose-assessed TIR.

Keywords: Insulin resistance; Time in range; β-Cell function.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Plasma glucose and insulin responses during the 100 g standard steamed bread meal test. (a) Plasma glucose (mmol/L) and (b) serum insulin values (mIU/L) among the four groups divided according to TIR quartiles (Q1–Q4). Data are shown in the box. Q1 (TIR ≤ 52%), Q2 (57–67%), Q3 (71–81%), and Q4 (≥86%).
Figure 2
Figure 2
Independent factors influencing the achievement of the target TIR (TIR > 70%). Multinomial logistic regression analysis models were applied to investigate the associations of target TIR with insulin sensitivity and β‐cell function. Model 1 was adjusted for sex, age, BMI, blood pressure, diabetes duration, lipid profile. Model 2 includes all variables in model 1 plus HbA1c. INS, insulin; GAUC, glucose area under the curve; IAUC, insulin area under the curve.

Similar articles

Cited by

References

    1. Danne T, Nimri R, Battelino T, et al. International consensus on use of continuous glucose monitoring. Diabetes Care 2017; 40(1): 1631–1640. - PMC - PubMed
    1. Wright LA, Hirsch IB. Metrics beyond hemoglobin A1C in diabetes management: time in range, hypoglycemia, and other parameters. Diabetes Technol Ther 2017; 19: S16–S26. - PMC - PubMed
    1. Beck RW, Connor CG, Mullen DM, et al. The fallacy of average: how using HbA(1c) alone to assess glycemic control can be misleading. Diabetes Care 2017; 40: 994–999. - PMC - PubMed
    1. Battelino T, Danne T, Bergenstal RM, et al. Clinical targets for continuous glucose monitoring data interpretation: recommendations from the international consensus on time in range. Diabetes Care 2019; 42: 1593–1603. - PMC - PubMed
    1. Beck RW, Bergenstal RM, Cheng P, et al. The relationships between time in range, hyperglycemia metrics, and HbA1c. J Diabetes Sci Technol 2019; 13: 614–626. - PMC - PubMed