Evidence map›Paper›PMID 31199783›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2019

Role of Maternal Nutrition in the Health Outcomes of Mothers and Their Children: A Retrospective Analysis.

Ping Zhang, Jingguo Wu, Nan Xun

Abstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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3 · Its place in the literature

Who cites it

7 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

3 authors.

Ping ZhangDepartment of General Practice, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China (mainland).
Jingguo WuDepartment of General Practice, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China (mainland).
Nan XunDepartment of Endocrinology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China (mainland).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND Low nutrition status of mothers plays an important role in increasing the prevalence of poor pregnancy outcomes. Poor pregnancy outcomes are the most common in the Guangzhou region of China. The objective of the study was to evaluate the role of maternal nutrition in the improvement of health outcomes for mothers and their children in the Guangzhou region of China. MATERIAL AND METHODS In this study, pregnancy medical records of women were analyzed. Data related to questionnaires which had been provided during hospital stays for nutritional consumption were gathered. Demographic characteristics and health outcomes of mothers and their children were recorded. Correlations of health outcomes with maternal nutrition were tested with respect to Z-scores at 95% confidence level. RESULTS Based on the health outcomes of mothers and their children, the study divided participants into 2 groups. The first group was mothers and their children with good health outcomes (live births with weighing ≥2.5 kg; the GHO group, n=130) and the second group was mothers and their children with poor health outcomes (miscarriage or premature birth with weighing less than 2.5 kg; the PHO group, n=70). These results showed positive correlation between financial status of the mother (salaried, P<0.001), maternal body mass index (P=0.001), maternal nutrition (P<0.001), maternal education (in years, P<0.001), and maternal age (P=0.004)) with health outcomes of mothers and their children. CONCLUSIONS The financial status of the mother, maternal nutrition, maternal age, and maternal education were the key determinants for predicting health outcomes of mothers and their children.

Indexed as

AdolescentAdultBirth WeightBody Mass IndexChildChild, PreschoolChinaFemaleHumansInfantInfant, NewbornMaleMaternal AgeMaternal Nutritional Physiological PhenomenaMothersNutritional Status

Identifiers

PMID31199783
PMCPMC6589047

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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.