Evidence map›Paper›PMID 41366627›Full record

ArticleHormones (Athens, Greece)2026

Association between dietary patterns and renal function in patients with newly diagnosed diabetes mellitus from Guilin of China.

Xu Tang, Jiejing Cao, Siyu Lin, Songju Wu, Haihua Li, Ling Tang

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Article in Hormones (Athens, Greece), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Xu TangSchool of Public Health, Peking University, No. 38 Xueyuan Road, Haidian District, Beijing, 100191, China.
Jiejing CaoGuangxi Medical University, No. 22 Shuangyong Road, Nanning City, Guangxi, 530021, China.
Siyu LinAffiliated Hospital of Guilin Medical University, No. 15 Lequn Road, Guilin City, Guangxi, 541001, China.
Songju WuGuangxi Medical University, No. 22 Shuangyong Road, Nanning City, Guangxi, 530021, China.
Haihua LiGuilin Center for Disease Control and Prevention, No. 7 Sihui Road, Guilin City, Guangxi, 541001, China. 184707456@qq.com.
Ling TangAffiliated Hospital of Guilin Medical University, No. 15 Lequn Road, Guilin City, Guangxi, 541001, China. tanglingem@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesThe effect of dietary patterns on renal function in diabetic patients has not been fully clarified. Thus, the aim of this study was to investigate the relationship between dietary patterns and renal function in newly diagnosed diabetic patients in the city of Guilin, China. METHODS AND STUDY

designAdults who participated in health check-ups in Guilin, Guangxi, China, in 2023, were screened and a total of 1028 datasets were collected. In the second year, participants diagnosed with type 2 diabetes mellitus (T2DM) within the past year and without pre-existing renal impairment were eligible for inclusion: 301 eligible participants were ultimately included in the study. After a 1-year follow-up, the participants were categorized into case and control groups based on whether they developed renal impairment, assessed by changes in renal function indexes. Dietary intake was quantitatively assessed according to a food frequency questionnaire (FFQ). Factor analysis (FA) was used to identify underlying dietary patterns. Logistic regression was used to analyze the relationship between dietary patterns and renal function in new-onset diabetic patients.

resultsThree dietary models were extracted using FA for legumes and vegetables, red meat, aquatic products, and mushrooms. The red meat dietary pattern was a risk factor for renal impairment in new-onset diabetic patients in Model 1 (OR = 1.341, 95% CI: 1.056-1.704) and Model 2 (OR = 1.391, 95% CI: 1.087-1.785).

conclusionsRed meat dietary patterns were associated with an increased risk of renal impairment in patients with newly diagnosed diabetes. It is recommended that newly diagnosed diabetic patients reduce their intake of red meat.

Indexed as

Diabetes Mellitus, Type 2Diabetic NephropathiesDietFeeding BehaviorKidneyAdultAgedChinaFemaleHumansMaleMiddle AgedRisk FactorsDiabetesDietary patternsFactor analysisRed meatRenal impairment

Identifiers

PMID41366627

What Socratic holds

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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 Socratic graph.