Evidence map›Paper›PMID 36498367›Full record

Observational studyInternational journal of environmental research and public health2022

Correlation between Component Factors of Non-Alcoholic Fatty Liver Disease and Metabolic Syndrome in Nurses: An Observational and Cross-Sectional Study.

Wen-Pei Chang, Yu-Pei Chang

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in International journal of environmental research and public health, 2022. 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
0.3field-weighted citation impact, top 39% 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
  2. 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

2 authors at 1 institution in 1 country.

Wen-Pei ChangDepartment of Nursing, Shuang Ho Hospital, Taipei Medical University, New Taipei City 235, Taiwan.ORCID 0000-0002-4906-2136
Yu-Pei ChangDepartment of Nursing, Shuang Ho Hospital, Taipei Medical University, New Taipei City 235, Taiwan.
Taipei Medical University-Shuang Ho Hospital · TW

Funding

Taipei Medical University-Shuang Ho Hospital 109HCP-11
6 · The paper itself

Abstract

This study aimed to understand the correlation between non-alcoholic fatty liver disease (NAFLD) and metabolic syndrome in nurses. Questionnaires were used to eliminate individuals with a daily drinking habit, hepatitis B or C, or incomplete data. A total of 706 valid samples were obtained. The prevalence of NAFLD among nurses was 36.8%. Nurses with a greater age (OR = 1.08, 95% CI: 1.01-1.16), obese BMI (OR = 23.30, 95% CI: 8.88-61.10), overweight BMI (OR = 3.89, 95% CI: 2.15-7.04), waist circumference exceeding the standard (OR = 2.10, 95% CI: 1.14-3.87), fasting blood glucose 100-125 mg/dL (OR = 4.09, 95% CI: 1.19-14.03), and overly low HDL-C (OR = 2.01, 95% CI: 1.05-3.85) were at greater risk of NAFLD. Furthermore, male nurses (OR = 6.42, 95% CI: 1.07-38.70), nurses with triglycerides over 150 mg/dL (OR = 4.80; 95% CI: 1.05-21.95), and nurses with HDL-C lower than the standard (OR = 5.63, 95% CI: 1.35-23.49) were at greater risk of moderate/severe NAFLD. Among younger nurses, those of greater age, male nurses, obese and overweight nurses, and those with a waist circumference exceeding the standard, 100-125 mg/dL, overly low HDL-C, and triglycerides over 150 mg/dL should consider the possibility that they have NAFLD.

Indexed as

Metabolic SyndromeNon-alcoholic Fatty Liver DiseaseBody Mass IndexCross-Sectional StudiesHumansMaleObesityOverweightRisk FactorsTriglyceridesWaist CircumferenceTriglyceridesmetabolic syndromenon-alcoholic fatty liver diseasenurse

Identifiers

PMID36498367
PMCPMC9740878
OpenAlexW4311544890

What Socratic 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 Socratic graph.