Evidence map›Paper›PMID 41628134›Full record

ArticlePloS one2026

Association between carbohydrate quality and glycemic control in individuals with type 1 diabetes: A cross-sectional and meal-based analysis.

Lingling Bian, Chun Yang, Yanjun Jin, Hong Wang, Min Zhu, Jingjing Xu, Jianling Bai, Mei Zhang, Yanmei Liu, Tao Yang and 2 more

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

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

12 authors.

Lingling BianDepartment of Endocrinology, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.
Chun YangDepartment of Endocrinology, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.ORCID https://orcid.org/0009-0008-4513-9467
Yanjun JinDepartment of Endocrinology, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.
Hong WangDepartment of Endocrinology, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.
Min ZhuDepartment of Endocrinology, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.
Jingjing XuDepartment of Endocrinology, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.
Jianling BaiDepartment of Biostatistics, School of Public Heath, Nanjing Medical University, Nanjing, China.
Mei ZhangDepartment of Endocrinology, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.
Yanmei LiuDepartment of Endocrinology, The First people's Hospital of Yancheng, Yancheng, China.
Tao YangDepartment of Endocrinology, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.ORCID https://orcid.org/0000-0001-6375-3622
Yong GuDepartment of Endocrinology, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.
Hechun LiuDepartment of Endocrinology, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.ORCID https://orcid.org/0000-0002-9274-890X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the study was to investigate the association between the quality of carbohydrates in the diet and glycemic control in individuals with Type 1 Diabetes (T1D). In this cross-sectional study, a dietary survey involving 155 individuals with T1D used a food frequency questionnaire (FFQ) and 3-day dietary records from 65 individuals to analyze 538 meals. The relationship between short-term dietary factors and postprandial glycemic fluctuations was evaluated by a mixed-effects model. The FFQ survey indicated that a higher intake of dietary fiber was associated with better long-term glycemic control (HbA1c≤6.5%) in T1D individuals (OR=1.101, p = 0.031). Analysis of 3-day dietary records and continuous glucose monitoring (CGM) data showed an inverse correlation between whole grain intake and postprandial glycemic variability, measured by standard deviation (SD), large amplitude of glycemic excursions (LAGE) and mean amplitude of glycemic excursions (MAGE) (Est. = -0.83, p < 0.01; Est. = -2.4, p < 0.01; Est. = -1.47, p = 0.04). Specifically, blood glucose fluctuations (SD, LAGE, MAGE) were more significant after lunch (p < 0.05), and these fluctuations were negatively related to the intake of whole grains (Est. = -0.45, p = 0.02; Est. = -1.52, p = 0.01; Est. = -1.39, p < 0.01). From a long-term glycemic control perspective, higher dietary fiber intake appears to be associated with improved HbA1c levels, while in terms of short-term glycemic variability, increased whole grain consumption is associated with reduced glucose fluctuations. However, as a cross-sectional analysis, these findings represent observational associations rather than causal evidence. Further validation through prospective cohorts and randomized trials is needed to assess clinical applicability.

Indexed as

Blood GlucoseDiabetes Mellitus, Type 1Dietary CarbohydratesGlycemic ControlAdultContinuous Glucose MonitoringCross-Sectional StudiesDietary FiberFemaleGlycated HemoglobinHumansMaleMealsPostprandial PeriodYoung AdultBlood GlucoseDietary CarbohydratesDietary FiberGlycated Hemoglobin

Identifiers

PMID41628134
PMCPMC12863503

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Registered trials

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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.