Evidence map›Paper›PMID 40025250›Full record

ArticleScientific reports2025

Risk factors of diabetes in a high risk cardiovascular population in Hainan Province.

Liying Zhao, Xue Zhou, Ying Lu, Mingsi Chen

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Liying ZhaoSchool of public health, Hainan Medical University, Haikou, China.
Xue Zhou *School of public health, Hainan Medical University, Haikou, China.
Ying LuSchool of public health, Hainan Medical University, Haikou, China. xjluying@163.com.
Mingsi ChenSchool of public health, Hainan Medical University, Haikou, China.

Funding

National Health Commission of the People's Republic of China Z135080000022
6 · The paper itself

Abstract

This study aimed to understand the influencing factors of diabetes among the cardiovascular high-risk population aged 35-75 in Hainan Province, in order to provide a reference basis for the development of scientific prevention strategies and intervention measures. From January 2016 to February 2023, a random sample of 71,819 residents aged 35-75 in Hainan Province was screened, identifying 12,936 cardiovascular high-risk individuals. All 2,908 diabetic patients were chosen as cases, with a 1:1 age- and gender-matched control group selected from the high-risk pool. Data were organized in Excel and analyzed using SPSS 27.0 for t-tests, chi-square tests, and multi-factorial logistic regression to evaluate lifestyle, dietary habits, blood glucose, and medical history as influencing factors among the high-risk cardiovascular population. BMI (OR = 1.071, 95%CI: 1.053-1.090) and elevated systolic blood pressure (OR = 1.005, 95%CI: 1.002-1.009), a frequency of seafood consumption more than three times per month (OR = 8.098, 95%CI: 7.100-9.237), and an increased ratio of triglycerides to high-density lipoprotein (OR = 1.296, 95%CI: 1.208-1.390) were risk factors for diabetes; whereas high school and below educational level (OR = 0.798, 95%CI: 0.678-0.938), high school above educational level (OR = 0.660, 95%CI: 0.491-0.886), exercise frequency of four or more times per week (OR = 0.621, 95%CI: 0.538-0.716), consumption of fresh vegetables 1-3 times per week (OR = 0.425, 95%CI: 0.283-0.640), and consumption of fresh fruits four or more times per week (OR = 0.743, 95%CI: 0.639-0.865) were protective factors against diabetes. Increased BMI, blood pressure, triglyceride-to-HDL ratio, and frequent seafood consumption were diabetes risks for Hainan's high-risk cardiovascular population. Enhanced screening, follow-up, and promotion of healthy lifestyles, including diet and weight control, were needed to lower disease risks.

Indexed as

Cardiovascular DiseasesDiabetes MellitusAdultAgedBlood GlucoseBody Mass IndexCase-Control StudiesChinaFemaleHumansLife StyleMaleMiddle AgedRisk FactorsTriglyceridesBlood GlucoseTriglyceridesCardiovascular diseaseCase controlDiabetesInfluencing factors

Identifiers

PMID40025250
PMCPMC11873145

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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.