Evidence map›Paper›PMID 37528831›Full record

ArticleJournal of nutritional science2023

Nutrient intakes from complementary foods are associated with cardiometabolic biomarkers among undernourished Peruvian children.

Gwenyth O Lee, Laura E Caulfield, Maribel Paredes-Olortegui, Pablo Penataro-Yori, Mery Sigas Salas, Margaret N Kosek

Abstract read
In one paragraph

Article in Journal of nutritional science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Gwenyth O LeeRutgers Global Health Institute and Department of Biostatistics and Epidemiology, School of Public Health, Rutgers University, New Brunswick, NJ, USA.ORCID 0000-0002-7889-3852
Laura E CaulfieldDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Maribel Paredes-OlorteguiAsociación Benéfica PRISMA, Iquitos, Peru.
Pablo Penataro-YoriUniversity of Virginia Division of Infectious Diseases and International Health, Charlottesville, VA, USA.
Mery Sigas SalasAsociación Benéfica PRISMA, Iquitos, Peru.
Margaret N KosekUniversity of Virginia Division of Infectious Diseases and International Health, Charlottesville, VA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Relatively little is known about how the diet of chronically undernourished children may impact cardiometabolic biomarkers. The objective of this exploratory study was to characterise relationships between dietary patterns and the cardiometabolic profile of 153 3-5-year-old Peruvian children with a high prevalence of chronic undernutrition. We collected monthly dietary recalls from children when they were 9-24 months old. At 3-5 years, additional dietary recalls were collected, and blood pressure, height, weight, subscapular skinfolds and fasting plasma glucose, insulin and lipid profiles were assessed. Nutrient intakes were expressed as average density per 100 kcals (i) from 9 to 24 months and (ii) at follow-up. The treelet transform and sparse reduced rank regress'ion (RRR) were used to summarize nutrient intake data. Linear regression models were then used to compare these factors to cardiometabolic outcomes and anthropometry. Linear regression models adjusting for subscapular skinfold-for-age

Indexed as

Cardiovascular DiseasesBiomarkersChildChild, PreschoolCholesterolEatingHumansInfantInsulinPeruBiomarkersCholesterolInsulinCardiometabolic biomarkersComplementary foodsHAZ, height-for-age Z-score, based on the WHO reference standardHDL-c, high-density lipoprotein cholesterolHDLZ, sd of mean HDL-c, based on the distribution of the sampleHOMA-IR, homeostatic model assessment-insulin resistanceINZ, sd of insulin, based on the distribution of the sampleLDC-c, low-density lipoprotein cholesterolMAPZ, sd of mean arterial blood pressure, based on the distribution of the sampleMFP, meat, fish or poultryNutrient intakePCA, principal components analysisPeruRRR, reduced rank regressionStuntingTC, total cholesterolTG, triglyceridesTGZ, sd of triglycerides, based on the distribution of the samplevLDL-c, very low-density lipoprotein cholesterolWAZ, weight-for-age Z-score, based on the WHO reference standardWHZ, weight-for-height Z-score, based on the WHO reference standard

Identifiers

PMID37528831
PMCPMC10388437

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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.