Evidence map›Paper›PMID 38867282›Full record

ArticleCardiovascular diabetology2024

Combined associations of visceral adipose tissue and adherence to a Mediterranean lifestyle with T2D and diabetic microvascular complications among individuals with prediabetes.

Hao-Wen Chen, Kuan Liu, Bi-Fei Cao, Qi Zhong, Rui Zhou, Liang-Hua Li, Shi-Ao Wang, Yan-Fei Wei, Hua-Min Liu, Xian-Bo Wu

Abstract read
In one paragraph

Article in Cardiovascular diabetology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Review
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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

10 authors.

Hao-Wen ChenDepartment of Epidemiology, School of Public Health, Guangdong Provincial Key Laboratory of Tropical Disease Research, Southern Medical University, No. 1063-No. 1023, Shatai South Road, Baiyun District, Guangzhou, 510515, China.
Kuan LiuDepartment of Epidemiology, School of Public Health, Guangdong Provincial Key Laboratory of Tropical Disease Research, Southern Medical University, No. 1063-No. 1023, Shatai South Road, Baiyun District, Guangzhou, 510515, China.
Bi-Fei CaoDepartment of Epidemiology, School of Public Health, Guangdong Provincial Key Laboratory of Tropical Disease Research, Southern Medical University, No. 1063-No. 1023, Shatai South Road, Baiyun District, Guangzhou, 510515, China.
Qi ZhongDepartment of Epidemiology, School of Public Health, Guangdong Provincial Key Laboratory of Tropical Disease Research, Southern Medical University, No. 1063-No. 1023, Shatai South Road, Baiyun District, Guangzhou, 510515, China.
Rui ZhouDepartment of Epidemiology, School of Public Health, Guangdong Provincial Key Laboratory of Tropical Disease Research, Southern Medical University, No. 1063-No. 1023, Shatai South Road, Baiyun District, Guangzhou, 510515, China.
Liang-Hua LiPublic Health Division, Hospital of Zhongluotan Town, Baiyun District, Guangzhou, 510515, China.
Shi-Ao WangDepartment of Epidemiology, School of Public Health, Guangdong Provincial Key Laboratory of Tropical Disease Research, Southern Medical University, No. 1063-No. 1023, Shatai South Road, Baiyun District, Guangzhou, 510515, China.
Yan-Fei WeiDepartment of Epidemiology, School of Public Health, Guangdong Provincial Key Laboratory of Tropical Disease Research, Southern Medical University, No. 1063-No. 1023, Shatai South Road, Baiyun District, Guangzhou, 510515, China.
Hua-Min LiuDepartment of Anaesthesiology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
Xian-Bo WuDepartment of Epidemiology, School of Public Health, Guangdong Provincial Key Laboratory of Tropical Disease Research, Southern Medical University, No. 1063-No. 1023, Shatai South Road, Baiyun District, Guangzhou, 510515, China. wuxb1010@smu.edu.cn.

Funding

Guangdong Basic and Applied Basic Research Foundation 2021A1515011684Guangzhou Science and Technology Project 202102080597National Natural Science Foundation of China 82173607the Open Project of the Guangdong Provincial Key Laboratory of Tropical Disease Research 2020B1212060042
6 · The paper itself

Abstract

backgroundIt's unclear if excess visceral adipose tissue (VAT) mass in individuals with prediabetes can be countered by adherence to a Mediterranean lifestyle (MEDLIFE). We aimed to examine VAT mass, MEDLIFE adherence, and their impact on type 2 diabetes (T2D) and diabetic microvascular complications (DMC) in individuals with prediabetes.

methods11,267 individuals with prediabetes from the UK Biobank cohort were included. VAT mass was predicted using a non-linear model, and adherence to the MEDLIFE was evaluated using the 25-item MEDLIFE index, encompassing categories such as "Mediterranean food consumption," "Mediterranean dietary habits," and "Physical activity, rest, social habits, and conviviality." Both VAT and MEDLIFE were categorized into quartiles, resulting in 16 combinations. Incident cases of T2D and related DMC were identified through clinical records. Cox proportional-hazards regression models were employed to examine associations, adjusting for potential confounding factors.

resultsOver a median follow-up of 13.77 years, we observed 1408 incident cases of T2D and 714 cases of any DMC. High adherence to the MEDLIFE, compared to the lowest quartile, reduced a 16% risk of incident T2D (HR: 0.84, 95% CI: 0.71-0.98) and 31% for incident DMC (0.69, 0.56-0.86). Conversely, compared to the lowest quartile of VAT, the highest quartile increased the risk of T2D (5.95, 4.72-7.49) and incident any DMC (1.79, 1.36-2.35). We observed an inverse dose-response relationship between MEDLIFE and T2D/DMC, and a dose-response relationship between VAT and all outcomes (P for trend < 0.05). Restricted cubic spline analysis confirmed a nearly linear dose-response pattern across all associations. Compared to individuals with the lowest MEDLIFE quartile and highest VAT quartile, those with the lowest T2D risk had the lowest VAT and highest MEDLIFE (0.12, 0.08-0.19). High MEDLIFE was linked to reduced T2D risk across all VAT categories, except in those with the highest VAT quartile. Similar trends were seen for DMC.

conclusionHigh adherence to MEDLIFE reduced T2D and MDC risk in individuals with prediabetes, while high VAT mass increases it, but MEDLIFE adherence may offset VAT's risk partly. The Mediterranean lifestyle's adaptability to diverse populations suggests promise for preventing T2D.

Indexed as

Diabetes Mellitus, Type 2Diabetic AngiopathiesDiet, MediterraneanIntra-Abdominal FatPrediabetic StateProtective FactorsRisk Reduction BehaviorAdiposityAdultAgedDiet, HealthyExerciseFemaleHealthy LifestyleHumansIncidence

Identifiers

PMID38867282
PMCPMC11170917

What Socratic holds

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LicenceCC BY
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Registered trials

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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.