Evidence map›Paper›PMID 39203750›Full record

ReviewNutrients2024

Maternal Malnutrition and Elevated Disease Risk in Offspring.

Kent L Thornburg, Amy M Valent

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Nutrients, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
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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

2 authors.

Kent L ThornburgOHSU Bob and Charlee Moore Institute for Nutrition and Wellness, School of Medicine, Oregon Health & Science University, Portland, OR 97239, USA.
Amy M ValentOHSU Bob and Charlee Moore Institute for Nutrition and Wellness, School of Medicine, Oregon Health & Science University, Portland, OR 97239, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

US populations have seen dramatic increases in the prevalence of chronic disease over the past three generations. Rapid increases in type 2 diabetes and obesity have occurred in all the states but have been particularly striking in the Deep South. These increases have contributed to decreases in life expectancy and to painful elevations in health care costs. The causes of worsening population health are complex and incompletely understood. However, there is strong evidence that vulnerability to chronic conditions is determined in early life. Most chronic diseases are developmentally driven. There are specific stressors experienced in early life that influence epigenetic and structural changes during development. These include malnutrition, severe levels of social stress, toxic chemicals, and low oxygen levels. Most US populations have experienced a decrease in the quality of the food they consume as industrial foods have replaced garden-grown foods. Thus, the consumption of too few nutrients before and during pregnancy and during lactation influences the growth of the placenta and fetal organs and their level of resilience when faced with stresses in postnatal life and particularly as adults. Animal studies have shown that the effects of poor nutrition can be passed on to future generations. The most powerful way that the current epidemics of obesity and insulin resistance can be reversed is by providing key nutrients to prospective mothers and those already pregnant.

Indexed as

MalnutritionMaternal Nutritional Physiological PhenomenaPrenatal Exposure Delayed EffectsAnimalsChronic DiseaseDiabetes Mellitus, Type 2FemaleHumansObesityPregnancyPregnancy ComplicationsRisk Factorschronic disease epidemicdevelopmental origins of health and diseaseembryo developmentepigeneticsfetal developmentmaternal nutrition

Identifiers

PMID39203750
PMCPMC11357549

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.