Evidence map›Paper›PMID 38721664›Full record

ArticleJournal of diabetes2024

The association between multiple trajectories of macronutrient intake and the risk of new-onset diabetes in Chinese adults.

Sizhe Wang, Guo Ruirui, Xiaotong Li, Fengdan Wang, Zibo Wu, Yan Liu, Yibo Dong, Bo Li

Abstract read
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Article in Journal of diabetes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Sizhe WangDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.
Guo RuiruiDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.
Xiaotong LiDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.
Fengdan WangDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.
Zibo WuDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.
Yan LiuDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.
Yibo DongDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.
Bo LiDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.ORCID https://orcid.org/0000-0003-1455-9596

Funding

National Natural Science Foundation of China 81973129
6 · The paper itself

Abstract

backgroundThe association between macronutrient intake and diabetes is unclear. We used data from the China Health and Nutrition Survey to explore the association between macronutrient intake trajectories and diabetes risk in this study.

methodsWe included 6755 participants who did not have diabetes at baseline and participated in at least three surveys. The energy supply ratio of carbohydrate, protein, and fat was further calculated from dietary data; different macronutrient trajectories were determined using multitrajectory models; and multiple Cox regression models were used to evaluate the association between these trajectories and diabetes.

resultsWe found three multitrajectories: decreased low carbohydrate-increased moderate protein-increased high fat (DLC-IMP-IHF), decreased high carbohydrate-moderate protein-increased low fat (DHC-MP-ILF), and balanced-macronutrients (BM). Compared to the BM trajectory, DHC-MP-ILF trajectories were significantly associated with increased risk of diabetes (hazard ratio [HR]: 3.228, 95% confidence interval [CI]: 1.571-6.632), whereas no association between DLC-IMP-IHF trajectories and diabetes was found in our study (HR: 0.699, 95% CI: 0.351-1.392).

conclusionsThe downward trend of high carbohydrate and the increasing trend of low fat increased the risk of diabetes in Chinese adults.

Indexed as

Dietary CarbohydratesNutrientsAdultChinaDiabetes MellitusDietDietary FatsDietary ProteinsEast Asian PeopleEnergy IntakeFemaleHumansMaleMiddle AgedNutrition SurveysRisk FactorsDietary CarbohydratesDietary FatsDietary ProteinsNutrientsmacronutrientmultitrajectoriesnew‐onset diabetesprospective study

Identifiers

PMID38721664
PMCPMC11079633

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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.