Evidence map›Paper›PMID 38674893›Full record

ArticleNutrients2024

Nutritional Habits of Hungarian Older Adults.

Rita Soós, Csilla Bakó, Ádám Gyebrovszki, Mónika Gordos, Dávid Csala, Zoltán Ádám, Márta Wilhelm

Abstract read
In one paragraph

Article in Nutrients, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
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

7 authors.

Rita SoósDoctoral School of Health Sciences, Faculty of Health Sciences, University of Pécs, 7621 Pécs, Hungary.
Csilla BakóInstitute of Sport Sciences and Physical Education, Faculty of Sciences, University of Pécs, 7624 Pécs, Hungary.
Ádám GyebrovszkiDoctoral School of Biology and Sportbiology, Faculty of Sciences, University of Pécs, 7624 Pécs, Hungary.
Mónika GordosDoctoral School of Biology and Sportbiology, Faculty of Sciences, University of Pécs, 7624 Pécs, Hungary.ORCID 0000-0003-0741-9878
Dávid CsalaDoctoral School of Biology and Sportbiology, Faculty of Sciences, University of Pécs, 7624 Pécs, Hungary.
Zoltán ÁdámDepartment of Pharmaceutical Biotechnology, Faculty of Pharmacy, University of Pécs, 7624 Pécs, Hungary.
Márta WilhelmInstitute of Sport Sciences and Physical Education, Faculty of Sciences, University of Pécs, 7624 Pécs, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are many nutritional changes that come with aging, mostly as consequences of health regression. Malnutrition and overweight often start with inadequate food consumption, followed by alterations in biochemical indices and body composition. In our study, we aimed to analyze the feeding habits and energy and nutrient intake of a Hungarian elderly population, focusing on macronutrient, water, fruit, and vegetable consumption while searching for possible nutritional factors leading to NCD and many other chronic diseases in this population. Two questionnaires were used. These were the Mini Nutritional Assessment (MNA) and one asking about nutritional habits, and a 3-day feeding diary was also filled. Subjects (

Indexed as

Feeding BehaviorMalnutritionNutritional StatusAgedAged, 80 and overBody Mass IndexDietEnergy IntakeFemaleFruitHumansHungaryMaleMiddle AgedNutrition AssessmentOverweightelderlyfruit and vegetable consumptionmacronutrient consumptionmalnutritionnutritional habits

Identifiers

PMID38674893
PMCPMC11053580

What OpenQuestion holds

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LicenceCC BY
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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.