Evidence map›Paper›PMID 38514590›Full record

ArticleEndocrine2024

Dietary composition and time in range in population with type 2 diabetes mellitus-exploring the association using continuous glucose monitoring device.

Aditi R Deshmane, Arti S Muley

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Article in Endocrine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Aditi R DeshmaneNutrition and Dietetics Department, Symbiosis International (Deemed University), Hill Base, Lavale, Pune, Maharashtra, 412115, India.ORCID 0000-0003-2913-331X
Arti S MuleyNutrition and Dietetics Department, Symbiosis International (Deemed University), Hill Base, Lavale, Pune, Maharashtra, 412115, India. asmuley@gmail.com.ORCID 0000-0001-9131-327X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo understand the association between macronutrient composition of a diet with Time in Range (TIR), Time above Range (TAR) and Time below Range (TBR) derived using a Continuous Glucose Monitoring (CGM) device for 14 days. METHODOLOGY: An exploratory analysis on the baseline data of 50 Type 2 Diabetes Mellitus participants with age 25-55 years, HbA1c upto 8% and on Metformin only) enrolled for an interventional clinical trial was performed.

resultsParticipants consuming adequate carbohydrates (CHO) of 55 to 60% of total calories had better Average Blood Glucose of 142.0 ± 24.0 mg/dL with a significance of p = 0.03 and Glucose Management Indicator (GMI) of 6.6 ± 0.7% significant at p = 0.01, than those with high CHO intake >60% of the total calories, with Average Blood Glucose - 155.0 ± 13.4 mg/dL and GMI - 7.06 ± 0.4%. Similarly, TIR - 68.2 ± 5.1% and TAR - 23.0 ± 10.8% was significantly better (p = 0.00) among those consuming adequate protein (12-15%) as compared to low protein (≤ 10%) with TIR- 61.0 ± 5.1% & TAR- 32.9 ± 10.3%. A correlation (r = -0.482 & p = 0.00) and simple linear regression analysis (R² = 0.33, F = 7.72, p = 0.000) revealed that when CHO intake increases the TIR decreases whereas TAR increases (r = 0.380 & p = 0.006). We did not find any significant relation between fat intake and TIR, TAR or TBR.

conclusionOur results suggest that lowering CHO, while increasing protein in the diet may help improve TIR. Further in-depth studies are needed to confirm these findings.

Indexed as

Blood GlucoseBlood Glucose Self-MonitoringDiabetes Mellitus, Type 2AdultContinuous Glucose MonitoringDietDietary CarbohydratesDietary ProteinsFemaleGlycated HemoglobinHumansHypoglycemic AgentsMaleMetforminMiddle AgedBlood GlucoseDietary CarbohydratesDietary ProteinsGlycated HemoglobinHypoglycemic AgentsMetforminContinuous glucose monitoring systemDiet compositionGlycemic variabilityMacronutrientsTime in rangeType 2 diabetes

Identifiers

PMID38514590

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.