Evidence map›Paper›PMID 29181690›Full record

ArticleFrontiers of medicine2018

Association of maternal depression with dietary intake, growth, and development of preterm infants: a cohort study in Beijing, China.

Han Wang, Hong Zhou, Yan Zhang, Yan Wang, Jing Sun

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Article in Frontiers of medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

5 authors.

Han WangDepartment of Maternal and Child Health, School of Public Health, Peking University, Beijing, 100191, China.
Hong ZhouDepartment of Maternal and Child Health, School of Public Health, Peking University, Beijing, 100191, China.
Yan ZhangDepartment of Maternal and Child Health, School of Public Health, Peking University, Beijing, 100191, China.
Yan WangDepartment of Maternal and Child Health, School of Public Health, Peking University, Beijing, 100191, China. wangyan@bjmu.edu.cn.
Jing SunMenzies Health Institute Queensland, Griffith University, Gold Coast, Queensland, QLD 4222, Australia. j.sun@griffith.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to explore the association of maternal depression with nutrient intake, growth, and development of preterm infants. A cohort study of 201 infants was conducted in Beijing. Based on the gestational age of an infant and status of the mother, the infants were divided into four groups: non-depression-fullterm (64), non-depression-preterm (70), depression-fullterm (36), and depression-preterm (31). Data on sociodemographic characteristics, nutritional intake, growth, and developmental status of children at 8 months (corrected ages) were collected using a quantitative questionnaire, a 24-Hour Dietary Recall, anthropometric measurements, and the Bayley-III scale. A multivariate analysis was used to evaluate the effects of maternal depression and preterm birth on infant growth and development. The energy, protein, and carbohydrate intake in the depression group was lower than the recommended amounts. The depression preterm groups indicated the lowest Z-scores for length and weight and the lowest Bayley-III scores. Preterm infants of depressed mothers are at high risks of poor growth and development delay.

Indexed as

Child DevelopmentInfant Nutritional Physiological PhenomenaMother-Child RelationsAdultAnthropometryBeijingCohort StudiesDepressive DisorderFeeding BehaviorFemaleGestational AgeHumansInfantInfant, NewbornInfant, PrematureMaledevelopmentgrowthinfantmaternal depressionnutritionpreterm

Identifiers

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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.