Evidence map›Paper›PMID 36615773›Full record

ArticleNutrients2022

The Association between Methionine Intake and Diabetes in Chinese Adults-Results from the China Health and Nutrition Survey.

Xiaomin Sun, Yingxin Chen, Jing Shu, Zhongying Li, Dongmei Yu, Wen Peng, Alice F Yan, Youfa Wang, Zumin Shi

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2022. 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
0.9field-weighted citation impact, top 25% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Methionine restriction and mimetics to ameliorate human aging and disease.Trends in endocrinology and metabolism: TEM · 2026
    Review
  3. Review
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 at 5 institutions in 3 countries.

Xiaomin SunGlobal Health Institute, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China.
Yingxin ChenGlobal Health Institute, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China.
Jing ShuGlobal Health Institute, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China.
Zhongying LiGlobal Health Institute, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China.
Dongmei YuKey Laboratory of Trace Element Nutrition of National Health Commission, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Wen PengNutrition and Health Promotion Center, Department of Public Health, Medical College, Qinghai University, Xining 810061, China.
Alice F YanDivision of Research Patient Care Services, Stanford Health Care, Palo Alto, CA 94305, USA.ORCID 0000-0002-3162-3687
Youfa WangGlobal Health Institute, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China.
Zumin ShiHuman Nutrition Department, College of Health Sciences, QU Health, Qatar University, Doha 2713, Qatar.ORCID 0000-0002-3099-3299
Xi'an Jiaotong University · CNNational Health and Family Planning Commission · CNQatar University · QAQinghai University · CNStanford Health Care · US

Funding

National Key Research and Development Program of China 2017YFC0907200 and 2017YFC0907201Natural Scientific Foundation in Qinghai Province 2019-ZJ-932Q
6 · The paper itself

Abstract

This study aimed to evaluate the association between methionine intake and diabetes prevalence in Chinese adults and explore whether the association was source-specific. Data from 12,849 adults aged ≥20 years old were used from the China Health and Nutrition Survey during 1997-2011. Diabetes was diagnosed as self-reported and/or when blood tests results met the diagnostic criteria. A 3-day, 24-h recall was used to assess different sources of methionine. Multivariable mixed linear regression was used to examine the associations. Across the quartiles of total methionine intake, the odds ratio (ORs, 95% CI) of diabetes were 1.00, 1.49 (1.21 to 1.82), 1.72 (1.37 to 2.15), and 2.53 (1.97 to 3.23). In the subgroup analysis, similar trends were observed in both animal and plant methionine. There was a significant interaction between urbanization and diabetes. The positive association was only significant in those who lived in low or medium urbanization areas. The ORs (95% CI) were 1.00, 1.27 (0.85 to 1.88), 1.56 (1.01 to 2.39), and 1.79 (1.09 to 2.95) for medium urbanization, respectively. No interaction was identified when stratified by different methionine sources. In conclusion, methionine intake was positively associated with diabetes independent of food source, and it was modified by urbanization levels.

Indexed as

Diabetes MellitusAnimalsChinaDietHumansMethionineNutrition SurveysUrbanizationMethionineanimal methioninediabetesinteractive effectplant methionineurbanization

Identifiers

PMID36615773
PMCPMC9823418
OpenAlexW4313244583

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.