Evidence map›Paper›PMID 34908233›Full record

ArticleMaternal & child nutrition2022

Dietary diversity and diet quality with gestational weight gain and adverse birth outcomes, results from a prospective pregnancy cohort study in urban Tanzania.

Jiaxi Yang, Molin Wang, Deirdre K Tobias, Janet W Rich-Edwards, Anne-Marie Darling, Ajibola I Abioye, Ramadhani A Noor, Isabel Madzorera, Wafaie W Fawzi

Open access · goldAbstract read
In one paragraph

Article in Maternal & child nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 4 pooled it
3.3field-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

25 citing papers in PubMed, 4 syntheses or guidelines pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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 4 institutions in 2 countries.

Jiaxi YangDepartment of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA.ORCID 0000-0002-4497-9615
Molin WangDepartment of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA.
Deirdre K TobiasDepartment of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA.
Janet W Rich-EdwardsDepartment of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA.
Anne-Marie DarlingDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Ajibola I AbioyeDepartment of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA.ORCID 0000-0002-6632-613X
Ramadhani A NoorUnited Nations Children's Fund (UNICEF), Dar es Salaam, Tanzania.
Isabel MadzoreraDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.ORCID 0000-0001-7226-5997
Wafaie W FawziDepartment of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA.
Harvard University · USBrigham and Women's Hospital · USHarvard Global Health Institute · USWWF Tanzania · TZ

Funding

Prenatal Iron Supplements: Safety & Efficacy in TanzaniaU01HD061232 · NICHD · HARVARD SCHOOL OF PUBLIC HEALTH · PI FAWZI, WAFAIE W · 2009 to 2014
$1.6M
NICHD NIH HHS U01 HD061232
6 · The paper itself

Abstract

Healthy maternal diets during pregnancy are an important protective factor for pregnancy-related outcomes, including gestational weight gain (GWG) and birth outcomes. We prospectively examined the associations of maternal dietary diversity and diet quality, using Minimum Dietary Diversity for Women (MDD-W) and Prime Diet Quality Score (PDQS), with GWG and birth outcomes among women enrolled in a trial in Tanzania (n = 1190). MDD-W and PDQS were derived from a baseline food frequency questionnaire. Women were monthly followed until delivery, during which weight was measured. GWG was classified based on the 2009 Institute of Medicine guidelines. Adverse birth outcomes were classified as low birth weight (LBW), small for gestational age, large for gestational age, and preterm birth. 46.2% participants had MDD-W ≥ 5. Mean score of PDQS was 23.3. Maternal intakes of nuts, poultry, and eggs were low, whereas intakes of sugar-sweetened beverages and refined grains were high. MDD-W was not associated with GWG or birth outcomes. For PDQS, compared to the lowest tertile, women in the highest tertile had lower risk of inappropriate GWG (risk ratio [RR] = 0.93, 95% confidence interval [CI]: 0.87-1.00). Women in the middle tertile group of PDQS (RR = 0.72, 95% CI: 0.51-1.00) had lower risk of preterm birth. After excluding women with prior complications, higher PDQS was associated with lower risk of LBW (middle tertile: RR = 0.55, 95% CI: 0.31-0.99, highest tertile: RR = 0.52, 95% CI: 0.29-0.94; continuous per SD: RR = 0.77, 95% CI: 0.60-0.99). Our findings support continuing efforts to improve maternal diet quality for optimal GWG and infant outcomes among Tanzanian women.

Indexed as

Gestational Weight GainPregnancy ComplicationsPremature BirthBirth WeightCohort StudiesDietFemaleHumansInfant, NewbornMalePregnancyPregnancy OutcomeProspective StudiesTanzaniabirth outcomesgestational weight gainlow birth weightmaternal dietminimum dietary diversity for womenpreterm birthprime diet quality scoreTanzania

Identifiers

PMID34908233
PMCPMC8932689
OpenAlexW4200563303

What Socratic 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 Socratic graph.