Evidence map›Paper›PMID 36429979›Full record

ArticleInternational journal of environmental research and public health2022

Modelling Analysis on Dietary Patterns and Oral Health Status among Adolescents.

Huay Woon You

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
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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

1 author at 1 institution in 1 country.

Huay Woon YouPusat GENIUS@Pintar Negara, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia.ORCID 0000-0003-0305-0911
National University of Malaysia · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adolescence is a crucial stage between childhood and adulthood during which an individual learns new behaviours and practices including dietary patterns. This study aimed to examine the diet and oral health status among adolescents, and employed a structured questionnaire with three sections, namely, demographic, Adolescents' Food Habits Checklist (AFHC) and the Kayser-Jones Brief Oral Health Status Examination (BOHSE). The AFHC was formulated consisting of 23 items to collect information about dietary patterns with respect to food purchase, preparation and consumption habits. Meanwhile, the BOHSE contained nine items to evaluate the oral conditions of adolescents. The relationship between dietary pattern and oral health in adolescents was investigated. A total of 160 adolescents were randomly selected in this study. The data analysis was presented in the form of tables. This study adhered to the STROBE checklist's Guidelines for Systematic Reporting of Examination. According to the findings, food consumption dietary patterns among adolescents had the highest mean score (4.475). This demonstrates that adolescents practiced healthy food consumption. A significant positive correlation was found between food purchase, food preparation, food consumption and dietary patterns. Moreover, females had a slightly higher mean score than males, showing that females have a healthier diet status than males. This study can serve as points of reflection and recommendations on dietary patterns and oral health status.

Indexed as

Feeding BehaviorOral HealthAdolescentDietDiet, HealthyFemaleHumansMaleResearchadolescentsdietary patternsmodelling analysisoral health

Identifiers

PMID36429979
PMCPMC9690391
OpenAlexW4309787077

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.