Evidence map›Paper›PMID 31795984›Full record

ArticleBMC pregnancy and childbirth2019

Gestational weight gain and gestational diabetes among Emirati and Arab women in the United Arab Emirates: results from the MISC cohort.

Mona Hashim, Hadia Radwan, Hayder Hasan, Reyad Shaker Obaid, Hessa Al Ghazal, Marwa Al Hilali, Rana Rayess, Noor Chehayber, Hamid Jan Jan Mohamed, Farah Naja

Open access · goldAbstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

13 citing papers in PubMed, 26 citations in OpenAlex.

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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

10 authors at 4 institutions in 3 countries.

Mona HashimDepartment of Clinical Nutrition and Dietetics, College of Health Sciences, Research Institute of Medical and Health Sciences (RIMHS), University of Sharjah, Sharjah, United Arab Emirates.
Hadia RadwanDepartment of Clinical Nutrition and Dietetics, College of Health Sciences, Research Institute of Medical and Health Sciences (RIMHS), University of Sharjah, Sharjah, United Arab Emirates.
Hayder HasanDepartment of Clinical Nutrition and Dietetics, College of Health Sciences, Research Institute of Medical and Health Sciences (RIMHS), University of Sharjah, Sharjah, United Arab Emirates.
Reyad Shaker ObaidDepartment of Clinical Nutrition and Dietetics, College of Health Sciences, Research Institute of Medical and Health Sciences (RIMHS), University of Sharjah, Sharjah, United Arab Emirates.
Hessa Al GhazalFamily Health Promotion Center, Sharjah, United Arab Emirates.
Marwa Al HilaliAl Qassimi Hospital, Ministry of Health and Prevention, Sharjah, United Arab Emirates.
Rana RayessDepartment of Clinical Nutrition and Dietetics, College of Health Sciences, Research Institute of Medical and Health Sciences (RIMHS), University of Sharjah, Sharjah, United Arab Emirates.
Noor ChehayberDepartment of Clinical Nutrition and Dietetics, College of Health Sciences, Research Institute of Medical and Health Sciences (RIMHS), University of Sharjah, Sharjah, United Arab Emirates.
Hamid Jan Jan MohamedNutrition and Dietetics Program, Universiti Sains Malaysia, Kelantan, Malaysia.
Farah NajaDepartment of Nutrition and Food Sciences, American University of Beirut, Beirut, Lebanon. fn14@aub.edu.lb.
University of Sharjah · AEAmerican University of Beirut · LBMinistry of Health · AEUniversiti Sains Malaysia · MY

Funding

Al Jalila Foundation AJF 201510Collaborative grant University of Sharjah 1501057003-P
6 · The paper itself

Abstract

backgroundNutritional status of women during pregnancy has been considered an important prognostic indicator of pregnancy outcomes.

objectivesTo investigate the pattern of gestational weight gain (GWG) and gestational diabetes mellitus (GDM) and their risk factors among a cohort of Emirati and Arab women residing in the United Arab Emirates (UAE). A secondary objective was to investigate pre-pregnancy body mass index (BMI) and its socio-demographic correlates among study participants.

methodsData of 256 pregnant women participating in the cohort study, the Mother-Infant Study Cohort (MISC) were used in this study. Healthy pregnant mothers with no history of chronic diseases were interviewed during their third trimester in different hospitals in UAE. Data were collected using interviewer-administered multi-component questionnaires addressing maternal sociodemographic and lifestyle characteristics. Maternal weight, weight gain, and GDM were recorded from the hospital medical records.

resultsAmong the study participants, 71.1% had inadequate GWG: 31.6% insufficient and 39.5% excessive GWG. 19.1% reported having GDM and more than half of the participants (59.4%) had a pre-pregnancy BMI ≥ 25 kg/m

conclusionsThis study revealed alarming prevalence rates of inadequate, mainly excessive, GWG and GDM among the MISC participants. Pre-pregnancy BMI was found a risk factor for both of these conditions (GWG and GDM). In addition, age and regular breakfast consumption were significant determinants of pre-pregnancy BMI. Healthcare providers are encouraged to counsel pregnant women to maintain normal body weight before and throughout pregnancy by advocating healthy eating and increased physical activity in order to reduce the risk of excessive weight gain and its associated complications.

Indexed as

ArabsAdultBody Mass IndexCohort StudiesDiabetes, GestationalFemaleGestational Weight GainHumansPregnancyPregnancy in ObesityRisk FactorsSocioeconomic FactorsUnited Arab EmiratesYoung AdultGestational diabetesGestational weight gainPre-pregnancy BMIUAE

Identifiers

PMID31795984
PMCPMC6892062
OpenAlexW2993345526

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LicenceCC BY
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Registered trials

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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.