Evidence map›Paper›PMID 37159748›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2023

The Correlation Between Health Risk Factors and Diabesity and Lipid Profile Indicators: The Role Mediator of TSH.

Yi Zhang, Yulin Zhang, Li Zhu, Zixiang Yu, Fangting Lu, Zhen Wang, Qiu Zhang

Open access · goldAbstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
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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

7 authors at 3 institutions in 1 country.

Yi ZhangDepartment of Endocrinology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, People's Republic of China.
Yulin Zhang *The Second Clinical Medical College, Anhui Medical University, Hefei, Anhui Province, People's Republic of China.
Li Zhu *Department of Endocrinology, Chaohu Hospital of Anhui Medical University, Hefei, Anhui Province, People's Republic of China.
Zixiang YuThe First Clinical Medical College, Anhui Medical University, Hefei, Anhui Province, People's Republic of China.
Fangting LuDepartment of Endocrinology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, People's Republic of China.
Zhen WangDepartment of Endocrinology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, People's Republic of China.
Qiu ZhangDepartment of Endocrinology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, People's Republic of China.
First Affiliated Hospital of Anhui Medical University · CNAnhui Medical University · CNChaohu Hospital of Anhui Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Obesity in adults is a problem, particularly when paired with other metabolic abnormalities. Previous research have linked various screening approaches to diabetes, but additional evidence points to the relevance of combining diabetes screening methods with obesity and its effects. This research examined the impact of thyroid hormones (TSHs) and health risk factors (HRFs) in screening for obesity and diabetes in Chinese populations, and whether age can modulate this association. Methods: From March to July 2022, the Hefei Community Health Service Center connected with the First Affiliated Hospital of Anhui Medical University was chosen, and the multi-stage cluster sample approach was utilized to test adults aged 21-90 in each community. Latent category analysis (LCA) was performed to investigate the clustering patterns of HRFs. A one-way ANOVA was used to examine waist circumference (WC), biochemical markers, and general data. Furthermore, multivariate logistic regression analysis was utilized to investigate the relationship between health risk variables and WC. Results: A total of 750 individuals without a history of major problems who had a community health physical examination were chosen, with missing data greater than 5% excluded. Finally, 708 samples were included in the study with an effective rate of 94.4%. The average WC was (90.0±10.33) cm, the prevalence in the >P Discussion: Our findings suggest that the quality of metabolic-related indicators used to successfully decrease diabetes in Chinese individuals with high HRFs levels should be prioritized. Comprehensive indicators might be a useful and practical way for measuring the metabolic evolution of diabetes level levels.

Indexed as

diabesitydiabetes mellitushealth risk factorsmetabolic indicatorsTSHWC

Identifiers

PMID37159748
PMCPMC10163876
OpenAlexW4367626051

What OpenQuestion holds

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LicenceCC BY-NC
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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.