Evidence map›Paper›PMID 25630525›Full record

ArticleJournal of diabetes and its complications2015

Dietary patterns associated with HbA1c and LDL cholesterol among individuals with type 1 diabetes in China.

Lindsay M Jaacks, Jamie Crandell, Michelle A Mendez, Archana P Lamichhane, Wei Liu, Linong Ji, Shufa Du, Wayne Rosamond, Barry M Popkin, Elizabeth J Mayer-Davis

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in Journal of diabetes and its complications, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06273631 (Effect of Changes in Carbohydrate Intake Patterns on Glucose Control in Patients With Type 1 Diabetes), which is not on this map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
1.5field-weighted citation impact, top 17% of its field
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.

NCT06273631 narecruitingnot on this mapstarted 2024, after this paper: background citation

Effect of Changes in Carbohydrate Intake Patterns on Glucose Control in Patients With Type 1 Diabetes

TypeinterventionalSponsorYang TaoRan2024 to 2027Enrolled80ConditionsType 1 Diabetes, Diet Intervention, Glucose ControlArmsdiverse carbohydrate diet, moderate carbohydrate diet
3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 38 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. [Dietary Patterns and Their Association with Diabetes Mellitus in Middle-Aged and Older Rural Population in Xinxiang County, Henan Province].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2021
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. 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

10 authors at 2 institutions in 2 countries.

Lindsay M JaacksDepartment of Nutrition, The University of North Carolina, Chapel Hill, NC, United States. Electronic address: ljaacks@emory.edu.
Jamie CrandellDepartment of Biostatistics, The University of North Carolina, Chapel Hill, NC, United States. Electronic address: jbigelow@email.unc.edu.
Michelle A MendezDepartment of Nutrition, The University of North Carolina, Chapel Hill, NC, United States. Electronic address: mmendez@email.unc.edu.
Archana P LamichhaneDepartment of Nutrition, The University of North Carolina, Chapel Hill, NC, United States. Electronic address: lamichha@email.unc.edu.
Wei LiuDepartment of Endocrinology and Metabolism, Peking University People's Hospital, Beijing, China. Electronic address: liuwei850217@163.com.
Linong JiDepartment of Endocrinology and Metabolism, Peking University People's Hospital, Beijing, China. Electronic address: jiln@bjmu.edu.cn.
Shufa DuDepartment of Nutrition, The University of North Carolina, Chapel Hill, NC, United States. Electronic address: dushufa@email.unc.edu.
Wayne RosamondDepartment of Epidemiology, The University of North Carolina, Chapel Hill, NC, United States. Electronic address: wayne_rosamond@unc.edu.
Barry M PopkinDepartment of Nutrition, The University of North Carolina, Chapel Hill, NC, United States. Electronic address: popkin@unc.edu.
Elizabeth J Mayer-DavisDepartment of Nutrition, The University of North Carolina, Chapel Hill, NC, United States. Electronic address: ejmayer_davis@unc.edu.
University of North Carolina at Chapel Hill · USPeking University · CN

Funding

UNC CLINICAL AND TRANSLATIONAL SCIENCE AWARD: BPCAUL1RR025747 · NCRR · UNIV OF NORTH CAROLINA CHAPEL HILL · PI RUNGE, MARSCHALL S. · 2008 to 2011
$44.6M
North Carolina Translational & Clinical Sciences Institute (NC TraCS)UL1TR001111 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BUSE, JOHN BERNARD, CAREY, TIMOTHY S · 2013 to 2017
$43.9M
MONITORING SOCIAL CHANGE: HEALTH, REPRODUCTION, AGINGR01HD030880 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ADAIR, LINDA S, POPKIN, BARRY M · 1994 to 2024
$27.0M
Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
Nutrition-Related NCD Prevention Training in ChinaD43TW009077 · FIC · UNIV OF NORTH CAROLINA CHAPEL HILL · PI POPKIN, BARRY M · 2011 to 2015
$1.1M
FIC NIH HHS 5D43TW009077FIC NIH HHS D43 TW009077NCATS NIH HHS UL1 TR001111NCRR NIH HHS UL1 RR025747NICHD NIH HHS P2C HD050924NICHD NIH HHS R01 HD030880PHS HHS ULTR000083
6 · The paper itself

Abstract

aimsTo identify dietary patterns that influence cardiometabolic risk among individuals with type 1 diabetes (T1D) in China.

methodsData are from a cross-sectional study of T1D in China (n=99). Dietary intake was assessed using three 24-hour recalls. Reduced rank regression was used to identify dietary patterns from a set of 20 food groups that maximized the explained variation in glycated hemoglobin A1c (HbA1c) and low-density lipoprotein (LDL) cholesterol.

resultsDietary pattern 1 was characterized by low intakes of wheat products and high-fat cakes, and high intakes of beans and pickled vegetables. Dietary pattern 2 was characterized by low intakes of high-fat cakes, nuts/seeds, fish/shellfish, and teas/coffee, and high intakes of rice and eggs. Participants in the highest tertile of dietary pattern 1 had significantly (p<0.05) higher HbA1c and LDL cholesterol compared to participants in the lowest tertile: mean difference in HbA1c was 1.0 percentage point (11 mmol/mol) and in LDL cholesterol was 0.36 mmol/L after adjustment for age and household income. Dietary pattern 2 was not associated with HbA1c or LDL cholesterol.

conclusionsWe identified a dietary pattern that is significantly related to HbA1c and LDL cholesterol. These findings provide support for behavioral strategies to prevent complications in individuals with T1D in China.

Indexed as

AdultBlood GlucoseChinaCholesterol, LDLCross-Sectional StudiesDiabetes Mellitus, Type 1DietDiet SurveysFeeding BehaviorFemaleGlycated HemoglobinHumansMaleMiddle AgedVegetablesBlood GlucoseCholesterol, LDLGlycated Hemoglobinhemoglobin A1c protein, humanChinaDietary patternsGlycemic controlReduced rank regressionType 1 diabetes

Identifiers

PMID25630525
PMCPMC4369414
OpenAlexW2107980719

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.