Evidence map›Paper›PMID 36360639›Full record

ArticleInternational journal of environmental research and public health2022

Metabolic Syndrome in Fasting and Non-Fasting Participants: The UAE Healthy Future Study.

Fatima Mezhal, Amar Ahmad, Abdishakur Abdulle, Andrea Leinberger-Jabari, Abderrahim Oulhaj, Abdulla AlJunaibi, Abdulla Alnaeemi, Ayesha S Al Dhaheri, Eiman AlZaabi, Fatma Al-Maskari and 19 more

Open access · goldAbstract read
In one paragraph

Article 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 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 18% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Sexual Dimorphism in Cardiometabolic Diseases: The Role of AMPK.International journal of molecular sciences · 2023
    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

29 authors at 11 institutions in 3 countries.

Fatima MezhalPublic Health Research Center, New York University Abu Dhabi, Abu Dhabi 129188, United Arab Emirates.
Amar AhmadPublic Health Research Center, New York University Abu Dhabi, Abu Dhabi 129188, United Arab Emirates.
Abdishakur AbdullePublic Health Research Center, New York University Abu Dhabi, Abu Dhabi 129188, United Arab Emirates.
Andrea Leinberger-JabariPublic Health Research Center, New York University Abu Dhabi, Abu Dhabi 129188, United Arab Emirates.ORCID 0000-0003-2014-9032
Abderrahim OulhajDepartment of Epidemiology and Public Health, College of Medicine and Health Sciences, Khalifa University, Abu Dhabi 127788, United Arab Emirates.
Abdulla AlJunaibiDepartment of Pediatrics, Zayed Military Hospital, Abu Dhabi 72763, United Arab Emirates.
Abdulla AlnaeemiDepartment of Cardiology, Zayed Military Hospital, Abu Dhabi 72763, United Arab Emirates.
Ayesha S Al DhaheriDepartment of Nutrition and Health, College of Medicine and Health Sciences, UAE University, Al-Ain 15551, United Arab Emirates.ORCID 0000-0002-7634-3531
Eiman AlZaabiDepartment of Pathology, Sheikh Shakhbout Medical City, Abu Dhabi 11001, United Arab Emirates.
Fatma Al-MaskariInstitute of Public Health, College of Medicine and Health Sciences, UAE University, Al-Ain 15551, United Arab Emirates.ORCID 0000-0001-6598-4942
Fatme AlAnoutiCollege of Natural and Health Sciences, Zayed University, Abu Dhabi 144534, United Arab Emirates.ORCID 0000-0002-1993-6656
Habiba AlsafarCenter for Biotechnology, Khalifa University, Abu Dhabi 127788, United Arab Emirates.ORCID 0000-0001-7141-1438
Juma AlkaabiDepartment of Internal Medicine, College of Medicine and Health Sciences, UAE University, Al-Ain 15551, United Arab Emirates.ORCID 0000-0003-2477-0408
Laila Abdel WarethPathology and Laboratory Medicine Institute, Cleveland Clinic Abu Dhabi, Abu Dhabi 112412, United Arab Emirates.
Mai AljaberHealthpoint Hospital, Abu Dhabi 112308, United Arab Emirates.
Marina KazimAbu Dhabi Blood Bank Services, SEHA, Abu Dhabi 109090, United Arab Emirates.
Manal AlblooshiPublic Health Research Center, New York University Abu Dhabi, Abu Dhabi 129188, United Arab Emirates.
Mohammad Al-HouqaniDepartment of Medicine, College of Medicine and Health Sciences, UAE University, Al-Ain 15551, United Arab Emirates.
Mohammad Hag AliDepartment of Health Science, Higher Colleges of Technology, Abu Dhabi 25026, United Arab Emirates.ORCID 0000-0002-4301-9938
Naima OumezianeAbu Dhabi Blood Bank Services, SEHA, Abu Dhabi 109090, United Arab Emirates.
Omar El-ShahawyDepartment of Population Health, New York University School of Medicine, New York, NY 10595, USA.
Rami H Al-RifaiInstitute of Public Health, College of Medicine and Health Sciences, UAE University, Al-Ain 15551, United Arab Emirates.ORCID 0000-0001-6102-0353
Scott ShermanDepartment of Population Health, New York University School of Medicine, New York, NY 10595, USA.ORCID 0000-0003-1752-7303
Syed M ShahInstitute of Public Health, College of Medicine and Health Sciences, UAE University, Al-Ain 15551, United Arab Emirates.ORCID 0000-0002-0956-465X
Tom LoneyCollege of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai 505055, United Arab Emirates.ORCID 0000-0003-1687-6587
Wael AlmahmeedHeart and Vascular Institute, Cleveland Clinic Abu Dhabi, Abu Dhabi 112412, United Arab Emirates.
Youssef IdaghdourPublic Health Research Center, New York University Abu Dhabi, Abu Dhabi 129188, United Arab Emirates.ORCID 0000-0002-2768-9376
Luai A AhmedInstitute of Public Health, College of Medicine and Health Sciences, UAE University, Al-Ain 15551, United Arab Emirates.ORCID 0000-0001-5292-8212
Raghib AliPublic Health Research Center, New York University Abu Dhabi, Abu Dhabi 129188, United Arab Emirates.
New York University Abu Dhabi · AEUnited Arab Emirates University · AEAbu Dhabi Health Services · AEKhalifa University of Science and Technology · AENew York University · USZayed Military Hospital · AEHealthpoint · AEHigher Colleges of Technology · AEMohammed Bin Rashid University of Medicine and Health Sciences · AESheikh Shakhbout Medical City · AEZayed University · AE

Funding

Medical Research Council MC_UU_00006/1
6 · The paper itself

Abstract

introductionMetabolic syndrome (MetS) is a multiplex of risk factors that predispose people to the development of diabetes and cardiovascular disease (CVD), two of the major non-communicable diseases that contribute to mortality in the United Arab Emirates (UAE). MetS guidelines require the testing of fasting samples, but there are evidence-based suggestions that non-fasting samples are also reliable for CVD-related screening measures. In this study, we aimed to estimate MetS and its components in a sample of young Emiratis using HbA1c as another glycemic marker. We also aimed to estimate the associations of some known CVD risk factors with MetS in our population.

methodsThe study was based on a cross-sectional analysis of baseline data of 5161 participants from the UAE Healthy Future Study (UAEHFS). MetS was identified using the NCEP ATP III criteria, with the addition of HbA1c as another glycemic indicator. Fasting blood glucose (FBG) and HbA1c were used either individually or combined to identify the glycemic component of MetS, based on the fasting status. Multivariate regression analysis was used to test for associations of selected social and behavioral factors with MetS.

resultsOur sample included 3196 men and 1965 women below the age of 40 years. Only about 21% of the sample were fasting at the time of recruitment. The age-adjusted prevalence of MetS was estimated as 22.7% in males and 12.5% in females. MetS prevalence was not statistically different after substituting FBG by HbA1c in the fasting groups (

conclusionMetS is highly prevalent in our sample of young Emirati adults. Our data showed that HbA1c may be an acceptable tool to test for the glycemic component of MetS in non-fasting samples. We found that the most relevant risk factors for predicting the prevalence of MetS were age, BMI, and family history.

Indexed as

Cardiovascular DiseasesMetabolic SyndromeAdultBlood GlucoseCross-Sectional StudiesFemaleGlycated HemoglobinHumansMaleRisk FactorsUnited Arab EmiratesBlood GlucoseGlycated Hemoglobincentral obesitydiabetesdyslipidemiahypertensionmetabolic syndromeUnited Arab Emirates

Identifiers

PMID36360639
PMCPMC9654954
OpenAlexW4307270383

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.