Evidence map›Paper›PMID 37076479›Full record

ArticleNutrition & diabetes2023

Trends in dietary patterns over the last decade and their association with long-term mortality in general US populations with undiagnosed and diagnosed diabetes.

Sheng Yuan, Jining He, Shaoyu Wu, Rui Zhang, Zheng Qiao, Xiaohui Bian, Hongjian Wang, Kefei Dou

Open access · goldAbstract read
In one paragraph

Article in Nutrition & diabetes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 10% 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.

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, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Sheng Yuan *Cardiometabolic Medicine Center, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Jining He *Cardiometabolic Medicine Center, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Shaoyu Wu *Cardiometabolic Medicine Center, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Rui ZhangCardiometabolic Medicine Center, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Zheng QiaoCardiometabolic Medicine Center, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Xiaohui BianCardiometabolic Medicine Center, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Hongjian WangCardiometabolic Medicine Center, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Kefei DouCardiometabolic Medicine Center, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. drdoukefei@126.com.ORCID 0000-0002-8372-6338
Chinese Academy of Medical Sciences & Peking Union Medical College · CNChinese Center For Disease Control and Prevention · CN

Funding

National Natural Science Foundation of China (National Science Foundation of China) 81870277
6 · The paper itself

Abstract

backgroundDietary management plays an important role in diabetes care, while the trends in dietary patterns over the last decade in US adults with diagnosed and undiagnosed diabetes remain unknown. This study aims to estimate the dietary patterns over the last decade by baseline diabetes diagnoses and explore their association with long-term prognosis.

methodsParticipants' data were extracted from the National Health and Nutrition Examination Survey (NHANES) 2007-2018, which were divided into three groups according to the diabetes diagnosis: without diabetes, undiagnosed diabetes, and diagnosed diabetes. Healthy eating index (HEI) and dietary inflammatory index (DII) were used to evaluate dietary patterns. Survival analyses were adopted to estimate the association between HEI/DII scores and long-term all-cause mortality and cause-specific mortality.

resultsThe prevalence of diabetes was increasing among US adults over the last decade. HEI scores of all three groups presented a downward trend in recent years. Participants with undiagnosed diabetes (weighted mean: 50.58, 95% CI: 49.79, 51.36) got significantly lower HEI score in comparison to participants with diagnosed diabetes (weighted mean: 51.59, 95% CI: 50.93, 52.25). Compared with participants without diabetes, participants in the undiagnosed or diagnosed diabetes group had higher DII scores, indicating a higher dietary inflammatory potential. Survival analysis found a significant association between HEI scores and all-cause mortality and death of heart diseases. Similar correlation was observed in DII scores.

conclusionsAlong with the growth in diabetes prevalence in the US, dietary management of people with diabetes is decreasing. The management of US adults' diets needs special attention, and dietary inflammatory potential may be considered in the dietary intervention.

Indexed as

Diabetes MellitusDietAdultDiet, HealthyHumansNutrition Surveys

Identifiers

PMID37076479
PMCPMC10115856
OpenAlexW4366448484

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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.