Evidence map›Paper›PMID 31888175›Full record

ArticleNutrients2019

Dietary Carbohydrates and Insulin Resistance in Adolescents from Marginalized Areas of Chiapas, México.

Itandehui Castro-Quezada, Elena Flores-Guillén, Pilar E Núñez-Ortega, César A Irecta-Nájera, Xariss M Sánchez-Chino, Orquidia G Mendez-Flores, Zendy E Olivo-Vidal, Rosario García-Miranda, Roberto Solís-Hernández, Héctor Ochoa-Díaz-López

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-weighted citation impact, top 24% of its field
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

9 citing papers in PubMed, 15 citations in OpenAlex.

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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

10 authors at 2 institutions in 1 country.

Itandehui Castro-QuezadaHealth Department, El Colegio de la Frontera Sur, Carr. Panamericana y Periférico Sur s/n, Barrio de María Auxiliadora, San Cristóbal de las Casas, Chiapas 29290, Mexico.ORCID 0000-0003-4419-5690
Elena Flores-GuillénHealth Department, El Colegio de la Frontera Sur, Carr. Panamericana y Periférico Sur s/n, Barrio de María Auxiliadora, San Cristóbal de las Casas, Chiapas 29290, Mexico.
Pilar E Núñez-OrtegaHealth Department, El Colegio de la Frontera Sur, Carr. Panamericana y Periférico Sur s/n, Barrio de María Auxiliadora, San Cristóbal de las Casas, Chiapas 29290, Mexico.ORCID 0000-0002-3103-6837
César A Irecta-NájeraHealth Department, El Colegio de la Frontera Sur, Carr. A Reforma Km. 15.5 s/n, RA. Guineo 2da. Sección, Villahermosa, Tabasco 86280, Mexico.ORCID 0000-0001-9914-1230
Xariss M Sánchez-ChinoCátedra-CONACyT, Health Department, El Colegio de la Frontera Sur, Unidad Villahermosa, Carretera a Reforma Km. 15.5 s/n, RA. Guineo 2da. Sección, Villahermosa, Tabasco 86280, Mexico.
Orquidia G Mendez-FloresCátedra-CONACyT, Health Department, El Colegio de la Frontera Sur, Carr. Panamericana y Periférico Sur s/n, Barrio de María Auxiliadora, San Cristóbal de las Casas, Chiapas 29290, Mexico.
Zendy E Olivo-VidalHealth Department, El Colegio de la Frontera Sur, Carr. A Reforma Km. 15.5 s/n, RA. Guineo 2da. Sección, Villahermosa, Tabasco 86280, Mexico.
Rosario García-MirandaHealth Department, El Colegio de la Frontera Sur, Carr. Panamericana y Periférico Sur s/n, Barrio de María Auxiliadora, San Cristóbal de las Casas, Chiapas 29290, Mexico.
Roberto Solís-HernándezHealth Department, El Colegio de la Frontera Sur, Carr. Panamericana y Periférico Sur s/n, Barrio de María Auxiliadora, San Cristóbal de las Casas, Chiapas 29290, Mexico.
Héctor Ochoa-Díaz-LópezHealth Department, El Colegio de la Frontera Sur, Carr. Panamericana y Periférico Sur s/n, Barrio de María Auxiliadora, San Cristóbal de las Casas, Chiapas 29290, Mexico.
El Colegio de la Frontera Sur · MXUniversidad de Ciencias y Artes de Chiapas · MX

Funding

Consejo Nacional de Ciencia y Tecnología 1676
6 · The paper itself

Abstract

Evidence of the role that dietary carbohydrates (total carbohydrates, dietary fiber, total sugars, dietary glycemic index (GI) and glycemic load (GL)) exerts on insulin levels in adolescents is controversial. Thus, the aim of this study was to assess the association between dietary carbohydrates and insulin resistance in adolescents from Chiapas, México. A cross-sectional study was conducted in 217 adolescents. Sociodemographic, anthropometric, dietary and biochemical data were obtained. Total carbohydrates, dietary fiber, total sugars, dietary GI and GL were calculated from 24 h recalls. Two validated cut-off points for the homeostasis model assessment of insulin resistance (HOMA-IR) were used as surrogates of insulin resistance. Fasting insulin levels ≥ 14.38 μU/mL were considered as abnormal. Multivariate logistic regression models were fitted to assess the association between tertiles of dietary carbohydrates and insulin resistance or hyperinsulinemia. In our study, adolescents with the highest dietary fiber intake had lower odds of HOMA-IR > 2.97 (OR = 0.34; 95% CI: 0.13-0.93) when adjusted for sex, age, body fat percentage and saturated fatty acids intake. No significant associations were found for the rest of the carbohydrate variables. In summary, high-fiber diets reduce the probability of insulin resistance in adolescents from marginalized areas of Chiapas, México.

Indexed as

Insulin ResistanceAdolescentCross-Sectional StudiesDietDietary CarbohydratesDietary FiberDiet SurveysFemaleGlycemic IndexGlycemic LoadHumansHyperinsulinismInsulinLogistic ModelsMaleMexicoDietary CarbohydratesDietary FiberInsulinadolescentscarbohydratesChiapasdietary fiberglycemic indexglycemic loadinsulininsulin resistanceMéxicosugars

Identifiers

PMID31888175
PMCPMC6950049
OpenAlexW2996085360

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.