Evidence map›Paper›PMID 24735007›Full record

ArticleBMC cardiovascular disorders2014

Gender-dependent associations between socioeconomic status and metabolic syndrome: a cross-sectional study in the adult Saudi population.

Nasser M Al-Daghri, Khalid M Alkharfy, Omar S Al-Attas, Nasiruddin Khan, Hanan A Alfawaz, Saad A Alghanim, Mansour A Al-Yousef, Abdulrahman S M Al-Ajlan, Majed S Alokail

Open access · goldAbstract read
In one paragraph

Article in BMC cardiovascular disorders, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 7% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

  1. Pooled it
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  4. Metabolic syndrome prediction based on body composition indices.The Journal of the Egyptian Public Health Association · 2024
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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

9 authors at 2 institutions in 1 country.

Nasser M Al-DaghriCenter of Excellence in Biotechnology Research, King Saud University, Riyadh 11451, Kingdom of Saudi Arabia. aldaghri2011@gmail.com.
Khalid M Alkharfy
Omar S Al-Attas
Nasiruddin Khan
Hanan A Alfawaz
Saad A Alghanim
Mansour A Al-Yousef
Abdulrahman S M Al-Ajlan
Majed S Alokail
King Saud University · SAMinistry of Health · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo determine the gender-dependent association of socio-economic status variables with the prevalence of metabolic syndrome (MetS) in the adult Saudi population.

methodsA total of 9164 adult Saudis (aged 18-70 years) were included in this cross-sectional study. Marital status, income, education, and occupation were used as socio-economic indicators while behavioral factor like physical exercise was also taken into account. MetS was defined using the criteria based from the National Cholesterol Education Program Adult Treatment Panel III (NCEP-ATP III).

resultsIn males, the odds ratio (OR) of harboring MetS was higher in married [OR1.6 (Confidence Interval (CI) 1.1, 2.4); p < 0.03], and high income class [OR 2.3(CI 1.5, 3.5); p < 0.001] and lowest in retired and unemployed individuals [1.4(1.0, 1.9); p < 0.04, 0.61(0.45, 0.82); p < 0.001] respectively. In females, MetS was inversely related to high income [OR 0.70 (CI 0.46, 1.1); p < 0.09] and education level [OR 0.38 (CI 0.26, 0.56); p < 0.001], and was significantly higher in the unemployed class [OR 1.6 (CI 1.2, 2.2); p < 0.004].

conclusionsThe prevalence of MetS is significantly high among retired, married and high-earning Saudi males while in females, high earners and high education seem to confer a protective effect against MetS.

Indexed as

Socioeconomic FactorsAdolescentAdultAgedChi-Square DistributionCross-Sectional StudiesEducational StatusEmploymentExerciseFemaleHumansIncomeLife StyleLogistic ModelsMaleMarital Status

Identifiers

PMID24735007
PMCPMC3990270
OpenAlexW2146276021

What OpenQuestion 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 OpenQuestion graph.