Evidence map›Paper›PMID 38201937›Full record

ArticleNutrients2023

Geographical Distribution of Dietary Patterns and Their Association with T2DM in Chinese Adults Aged 45 y and Above: A Nationwide Cross-Sectional Study.

Weihua Dong, Yuqian Li, Qingqing Man, Yu Zhang, Lianlong Yu, Rongping Zhao, Jian Zhang, Pengkun Song, Gangqiang Ding

Abstract read
In one paragraph

Article in Nutrients, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

9 authors.

Weihua DongNational Institute for Nutrition and Health, Department of Geriatric and Clinical Nutrition, Chinese Center for Diseases Control and Prevention, Beijing 100050, China.ORCID 0009-0008-7687-8350
Yuqian LiNational Institute for Nutrition and Health, Department of Geriatric and Clinical Nutrition, Chinese Center for Diseases Control and Prevention, Beijing 100050, China.ORCID 0000-0002-8150-6243
Qingqing ManNational Institute for Nutrition and Health, Department of Geriatric and Clinical Nutrition, Chinese Center for Diseases Control and Prevention, Beijing 100050, China.
Yu ZhangChinese Center for Diseases Control and Prevention, Beijing 100050, China.
Lianlong YuShandong Center for Disease Control and Prevention, Jinan 250014, China.ORCID 0000-0002-6631-5254
Rongping ZhaoDepartment of Clinical Nutrition, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu 610056, China.
Jian ZhangNational Institute for Nutrition and Health, Department of Geriatric and Clinical Nutrition, Chinese Center for Diseases Control and Prevention, Beijing 100050, China.
Pengkun SongNational Institute for Nutrition and Health, Department of Geriatric and Clinical Nutrition, Chinese Center for Diseases Control and Prevention, Beijing 100050, China.ORCID 0000-0003-2332-7500
Gangqiang DingNational Institute for Nutrition and Health, Department of Geriatric and Clinical Nutrition, Chinese Center for Diseases Control and Prevention, Beijing 100050, China.

Funding

Study of Diet and Nutrition Assessment and Intervention Technology from Active Health and Aging Technologic Solutions Major Project of National Key R&D Program 2020YFC2006300
6 · The paper itself

Abstract

backgroundThis study aimed to investigate the geographical distribution of dietary patterns and their association with T2DM among Chinese adults aged 45 years and above.

methodsData was from the China Adults Chronic Diseases and Nutrition Surveillance (2015). Dietary intake for each participant was determined through a combination of 3-day 24-h dietary recall interviews and food frequency questionnaires. Principal component analysis was used to extract dietary patterns and spatial analysis was employed to investigate the geographic distribution of them. T2DM was diagnosed using criteria of ADA 2018, and binary logistic regression was employed to examine the relationship between dietary patterns and T2DM.

resultsA total of 36,648 participants were included in the study; 10.9% of them were diagnosed as T2DM. Three dietary patterns were identified with the name of plant-based pattern, animal-based pattern, and oriental traditional pattern, which were represented located in northern, northwest, and southern regions, respectively. After adjusting for potential confounders, participants in the highest quartile of the plant-based pattern were associated with lower T2DM odds (OR = 0.82, 95% CI: 0.74, 0.90) when comparing with the lowest quartile. However, participants inclined to higher quartiles of animal-based pattern had a higher risk of T2DM (OR = 1.15, 95% CI: 1.04, 1.27) compared with those in the lower quartiles. No significant association was found between the oriental traditional pattern and T2DM (OR = 1.03, 95% CI: 0.93, 1.14).

conclusionDietary patterns of Chinese population revealed geographical disparities, with plant-based dietary pattern showing protective effects and animal-based pattern carrying high risks for T2DM. Regional dietary variations and food environment are paramount in T2DM prevention and management.

Indexed as

Diabetes Mellitus, Type 2AdultChinaCross-Sectional StudiesEast Asian PeopleHumanscross-sectional studydietary patternsspatial statistical analysisT2DM

Identifiers

PMID38201937
PMCPMC10780680

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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.