Evidence map›Paper›PMID 29849003›Full record

SynthesisNutrients2018

Associations of Diet and Physical Activity with Risk for Gestational Diabetes Mellitus: A Systematic Review and Meta-Analysis.

Jovana Mijatovic-Vukas, Louise Capling, Sonia Cheng, Emmanuel Stamatakis, Jimmy Louie, N Wah Cheung, Tania Markovic, Glynis Ross, Alistair Senior, Jennie C Brand-Miller and 1 more

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Nutrients, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 158 papers, 19 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
158citing papers in PubMed, 19 pooled it
17.6field-weighted citation impact, top 1% 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

158 citing papers in PubMed, 19 syntheses or guidelines pooled it, 313 citations in OpenAlex.

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98 more citing papers are in PubMed but not listed here.

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

11 authors at 1 institution in 2 countries.

Jovana Mijatovic-VukasCharles Perkins Centre, The University of Sydney, Sydney 2006, Australia. jmij1646@uni.sydney.edu.au.ORCID 0000-0003-3810-561X
Louise CaplingFaculty of Health Sciences, The University of Sydney, Lidcombe 2141, Australia. acap7726@uni.sydney.edu.au.ORCID 0000-0001-8748-8202
Sonia ChengFaculty of Health Sciences, The University of Sydney, Lidcombe 2141, Australia. sonia.cheng@sydney.edu.au.
Emmanuel StamatakisCharles Perkins Centre, The University of Sydney, Sydney 2006, Australia. emmanuel.stamatakis@sydney.edu.au.
Jimmy LouieCharles Perkins Centre, The University of Sydney, Sydney 2006, Australia. jimmyl@hku.hk.ORCID 0000-0001-7736-605X
N Wah CheungCharles Perkins Centre, The University of Sydney, Sydney 2006, Australia. wah.cheung@sydney.edu.au.
Tania MarkovicCharles Perkins Centre, The University of Sydney, Sydney 2006, Australia. tania.markovic@sydney.edu.au.
Glynis RossRoyal Prince Alfred Hospital, Sydney Local Health District, Camperdown 2050, Australia. glynis.ross@health.nsw.gov.au.
Alistair SeniorCharles Perkins Centre, The University of Sydney, Sydney 2006, Australia. alistair.senior@sydney.edu.au.
Jennie C Brand-MillerCharles Perkins Centre, The University of Sydney, Sydney 2006, Australia. jennie.brandmiller@sydney.edu.au.ORCID 0000-0002-6797-8754
Victoria M FloodCharles Perkins Centre, The University of Sydney, Sydney 2006, Australia. vicki.flood@sydney.edu.au.
The University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rising rates of gestational diabetes mellitus (GDM) and related complications have prompted calls to identify potentially modifiable risk factors that are associated with gestational diabetes mellitus (GDM). We systematically reviewed the scientific literature for observational studies examining specific dietary and/or physical activity (PA) factors and risk of GDM. Our search included PubMed, Medline, CINAHL/EBSCO, Science Direct and EMBASE, and identified 1167 articles, of which 40 met our inclusion criteria (e.g., singleton pregnancy, reported diet or PA data during pre-pregnancy/early pregnancy and GDM as an outcome measure). Studies were assessed for quality using a modified Quality Criteria Checklist from American Dietetic Association. Of the final 40 studies, 72% obtained a positive quality rating and 28% were rated neutral. The final analysis incorporated data on 30,871 pregnant women. Dietary studies were categorised into either caffeine, carbohydrate, fat, protein, calcium, fast food and recognized dietary patterns. Diets such as Mediterranean Diet (MedDiet), Dietary Approaches to Stop Hypertension (DASH) diet and Alternate Healthy Eating Index diet (AHEI) were associated with 15–38% reduced relative risk of GDM. In contrast, frequent consumption of potato, meat/processed meats, and protein (% energy) derived from animal sources was associated with an increased risk of GDM. Compared to no PA, any pre-pregnancy or early pregnancy PA was associated with 30% and 21% reduced odds of GDM, respectively. Engaging in >90 min/week of leisure time PA before pregnancy was associated with 46% decreased odds of GDM. We conclude that diets resembling MedDiet/DASH diet as well as higher PA levels before or in early pregnancy were associated with lower risks or odds of GDM respectively. The systematic review was registered at PROSPERO (www.crd.york.ac.uk/PROSPERO) as CRD42016027795.

Indexed as

Diet, MediterraneanEvidence-Based MedicineExerciseHealthy LifestylePrenatal Nutritional Physiological PhenomenaDiabetes, GestationalDietary Approaches To Stop HypertensionDiet, HealthyFemaleHumansMaternal Nutritional Physiological PhenomenaPreconception CarePregnancyProtective Factorsdietexercisegestational diabetesphysical activitypregnancypre-pregnancy

Identifiers

PMID29849003
PMCPMC6024719
OpenAlexW2807504557

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.