Evidence map›Paper›PMID 35664246›Full record

ArticleObesity science & practice2022

Sociodemographic determinants of prepregnancy body mass index and gestational weight gain: The Mutaba'ah study.

Tuck Seng Cheng, Nasloon Ali, Iffat Elbarazi, Rami H Al-Rifai, Fatma Al-Maskari, Tom Loney, Luai A Ahmed

Abstract read
In one paragraph

Article in Obesity science & practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

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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.

Tuck Seng ChengMRC Epidemiology Unit Institute of Metabolic Science University of Cambridge Cambridge UK.ORCID https://orcid.org/0000-0003-4442-7332
Nasloon AliInstitute of Public Health College of Medicine and Health Sciences United Arab Emirates University Al Ain United Arab Emirates.ORCID https://orcid.org/0000-0001-9585-0232
Iffat ElbaraziInstitute of Public Health College of Medicine and Health Sciences United Arab Emirates University Al Ain United Arab Emirates.
Rami H Al-RifaiInstitute of Public Health College of Medicine and Health Sciences United Arab Emirates University Al Ain United Arab Emirates.
Fatma Al-MaskariInstitute of Public Health College of Medicine and Health Sciences United Arab Emirates University Al Ain United Arab Emirates.
Tom LoneyCollege of Medicine Mohammed Bin Rashid University of Medicine and Health Sciences Dubai United Arab Emirates.
Luai A AhmedInstitute of Public Health College of Medicine and Health Sciences United Arab Emirates University Al Ain United Arab Emirates.ORCID https://orcid.org/0000-0001-5292-8212

Funding

Medical Research Council MC_UU_00006/2
6 · The paper itself

Abstract

Objective: This study examined the associations of sociodemographic and lifestyle factors with prepregnancy body mass index (BMI) and gestational weight gain (GWG). Methods: In the Mutaba'ah Study in the United Arab Emirates, repeated measurements throughout pregnancy from medical records were used to determine prepregnancy BMI and GWG. Associations of sociodemographic and lifestyle factors with prepregnancy BMI and GWG (separately by normal weight, overweight, and obesity status) were tested using multivariable regression models, adjusted for maternal age at delivery. Results: Among 3536 pregnant participants, more than half had prepregnancy overweight (33.2%) or obesity (26.9%), and nearly three-quarters had inadequate (34.2%) or excessive (38.2%) GWG. Higher parity ( Conclusions: Sociodemographic factors, especially parity and maternal education, were differentially associated with prepregnancy BMI and GWG adequacy across weight status.

Indexed as

gestational weight gainmaternal educationparityprepregnancy body mass indexsociodemographics

Identifiers

PMID35664246
PMCPMC9159565

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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.