Evidence map›Paper›PMID 37960158›Full record

ArticleNutrients2023

Association between Mineral Intake and Cognition Evaluated by Montreal Cognitive Assessment (MoCA): A Cross-Sectional Study.

Ana M Lorenzo-Mora, Ana M López-Sobaler, Laura M Bermejo, Liliana G González-Rodríguez, Esther Cuadrado-Soto, África Peral-Suárez, María Dolores Salas-González, María Luisa Delgado-Losada, Inmaculada C Rodríguez-Rojo, Ana Barabash and 2 more

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 8% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 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

12 authors at 1 institution in 2 countries.

Ana M Lorenzo-MoraDepartment of Nutrition and Food Science, Faculty of Pharmacy, Complutense University of Madrid, 28040 Madrid, Spain.
Ana M López-SobalerDepartment of Nutrition and Food Science, Faculty of Pharmacy, Complutense University of Madrid, 28040 Madrid, Spain.ORCID 0000-0002-4133-1450
Laura M BermejoDepartment of Nutrition and Food Science, Faculty of Pharmacy, Complutense University of Madrid, 28040 Madrid, Spain.ORCID 0000-0001-6826-0181
Liliana G González-RodríguezDepartment of Nutrition and Food Science, Faculty of Pharmacy, Complutense University of Madrid, 28040 Madrid, Spain.ORCID 0000-0002-7741-5488
Esther Cuadrado-SotoDepartment of Nutrition and Food Science, Faculty of Pharmacy, Complutense University of Madrid, 28040 Madrid, Spain.ORCID 0000-0002-4169-9925
África Peral-SuárezDepartment of Nutrition and Food Science, Faculty of Pharmacy, Complutense University of Madrid, 28040 Madrid, Spain.ORCID 0000-0002-2023-0298
María Dolores Salas-GonzálezDepartment of Nutrition and Food Science, Faculty of Pharmacy, Complutense University of Madrid, 28040 Madrid, Spain.ORCID 0000-0002-6110-7456
María Luisa Delgado-LosadaVALORNUT Research Group, Complutense University of Madrid, 28040 Madrid, Spain.ORCID 0000-0001-8808-4613
Inmaculada C Rodríguez-RojoCenter for Cognitive and Computational Neuroscience, Complutense University of Madrid, 28223 Madrid, Spain.ORCID 0000-0003-2781-3004
Ana BarabashFaculty of Medicine, Department of Medicine, Complutense University of Madrid, 28040 Madrid, Spain.ORCID 0000-0003-2383-1563
Fernando Maestú-UnturbeSan Carlos Health Research Institute (IdISSC), 28040 Madrid, Spain.ORCID 0000-0002-3195-0071
Aránzazu AparicioDepartment of Nutrition and Food Science, Faculty of Pharmacy, Complutense University of Madrid, 28040 Madrid, Spain.ORCID 0000-0001-8500-9802
Universidad Complutense de Madrid · ES

Funding

Complutense University of Madrid (UCM) Project GR3/14Complutense University Research Group VALORNUT-920030 FEI16/127Predoctoral contract financed by the Complutense University of Madrid and Banco Santander CT63/19-CT64/19Spanish Ministry of Economy and Competitiveness PSI2015-68793-C3-1-R
6 · The paper itself

Abstract

backgroundMineral intake may protect against cognitive impairment (CI) and all-cause dementia, which affects a large number of adults worldwide. The aim of this study was to investigate the association between mineral intake and Montreal Cognitive Assessment (MoCA), which is a sensitive and specific test.

methodsIn total, 201 adults were included in a cross-sectional study. They completed a three-day dietary record to estimate their average daily intake of minerals. Contributions to dietary reference intakes (DRIs) were also calculated. The participants were divided into tertiles according to their mineral intake. CI classifications were determined via the MoCA (score < 26). Apolipoprotein E (APOE) genotyping was carried out, and the patients' anthropometric measurements and physical activity, health and personal data were collected.

resultsThe prevalence of CI in this selective sample was 54.2% (34.3% females and 19.9% males). In women, being in the third tertiles of iron and manganese intake was associated with lower odds of having CI (OR [95% CI]: 0.32 [0.11 ± 0.93]; 0.33 [0.12 ± 0.93],

conclusionsThese findings suggest that a low mineral intake, especially low iron and manganese intake in women, is associated with a worse cognition as assessed by MoCA.

Indexed as

Cognitive DysfunctionManganeseAdultCognitionCross-Sectional StudiesFemaleHumansIronMaleMental Status and Dementia TestsMineralsNeuropsychological TestsIronManganeseMineralsadultsmild cognitive impairmentminerals intakeMoCA

Identifiers

PMID37960158
PMCPMC10648921
OpenAlexW4387909520

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.