Evidence map›Paper›PMID 39490798›Full record

ArticleThe Journal of nutrition2024

Food Records Show Daily Variation in Diet during Pregnancy: Results from the Temporal Research in Eating, Nutrition, and Diet during Pregnancy Study.

Samantha Kleinberg, James D Pleuss, Andrea L Deierlein

Abstract read
In one paragraph

Article in The Journal of nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Observational
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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

3 authors.

Samantha KleinbergDepartment of Computer Science, Stevens Institute of Technology, Hoboken, NJ, United States. Electronic address: samantha.kleinberg@stevens.edu.
James D PleussDepartment of Computer Science, Stevens Institute of Technology, Hoboken, NJ, United States.
Andrea L DeierleinSchool of Global Public Health, New York University, New York, NY, United States.

Funding

Project 4: Virtual Public Health Precision Nutrition LaboratoryU54TR004279 · NCATS · GRADUATE SCHOOL OF PUBLIC HEALTH AND HEALTH POLICY · PI Bruce Y Lee · 2022 to 2026
$5.4M
Harnessing Patient Generated Data to Find Causes and Effects of Diet in Pregnancy R01LM013308 · NLM · THE TRUSTEES OF THE STEVENS INSTITUTE OF TECHNOLOGY · PI DEIERLEIN, ANDREA L, KLEINBERG, SAMANTHA · 2019 to 2022
$864k
NCATS NIH HHS U54 TR004279NLM NIH HHS R01 LM013308
6 · The paper itself

Abstract

backgroundDiet is critical for pregnant individuals and their offspring, but insight into diet during pregnancy mainly comes from questionnaires and recalls.

objectivesTo obtain detailed real-time dietary data during pregnancy to evaluate intra- and interindividual variation in intakes.

methodsPregnant individuals were recruited from a New York City health system December 2020-June 2023. Participants collected dietary intakes for 14 d (mean gestational weeks = 17.6) and again roughly 4 wk later (mean gestational weeks = 24.5). Participants logged each eating occasion using a smartphone and study-developed app, and wore a smartwatch capturing physiologic data.

resultsIn total, 150 individuals completed ≥1 data collection round, with 134 completing both rounds. Mean daily eating window was 10.82 h, with weekends having a significantly shorter window than weekdays (P < 0.001). Eating window was correlated with energy intake (r = 0.401, P < 0.001), driven by later last eating occasions. There was high intraindividual variation in macro- and micronutrient intakes [intraclass correlation coefficient (ICC), range 0.11-0.40] and food type (ICC range: 0.08-0.34), and differences between weekdays and weekends (less protein and micronutrients on weekends). Few participants' mean intakes met daily recommended dietary allowances for key micronutrients (under 15% for iron, magnesium, vitamin D, and vitamin E; under 30% for calcium, folate, zinc, and vitamin A).

conclusionsDietary intakes varied substantially within and between individuals, and mean nutrient intake estimates did not capture nutrient adequacy for individuals or populations. Future work that examines individual daily dietary intakes throughout pregnancy among diverse populations is needed.

Indexed as

DietDiet RecordsAdultEnergy IntakeFeeding BehaviorFemaleHumansNew York CityNutritional StatusPregnancyYoung Adultdietary guidelinesfood intakephoto food recordspregnancyreal-time dietary records

Identifiers

PMID39490798
PMCPMC11662238

What OpenQuestion holds

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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.