Evidence map›Paper›PMID 38001518›Full record

ArticleBMC oral health2023

Factors predicting different times for brushing teeth during the day: multilevel analyses.

Hwa-Young Lee, Nam-Hee Kim, Jin-Young Jeong, Sun-Jung Shin, Hee-Jung Park, Ichiro Kawachi

Open access · goldAbstract read
In one paragraph

Article in BMC oral health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 35% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

6 authors at 5 institutions in 2 countries.

Hwa-Young LeeGraduate School of Public Health and Healthcare Management, The Catholic University of Korea, Seoul, South Korea.
Nam-Hee KimDepartment of Dental Hygiene, Mirae Campus, Yonsei University, Wonju, South Korea. nami71@yonsei.ac.kr.
Jin-Young JeongHallym Research Institute of Clinical Epidemiology, Hallym University, Chuncheon, South Korea.
Sun-Jung ShinDepartment of Dental Hygiene, College of Dentistry, Gangneung Wonju National University, Gangneung, South Korea.
Hee-Jung ParkDepartment of Dental Hygiene, College of Health Science, Kangwon National University, Samcheok, South Korea.
Ichiro KawachiHarvard T.H. Chan School of Public Health, Boston, USA.
Yonsei University · KRGangneung–Wonju National University · KRHallym University · KRHarvard University · USKangwon National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe most effective and simple intervention for preventing oral disease is toothbrushing. However, there is substantial variation in the timing of brushing teeth during the day. We aimed to identify a comprehensive set of predictors of toothbrushing after lunch and after dinner and estimated contextual (i.e., geographic) variation in brushing behavior at different times of the day.

methodsWe constructed a conceptual framework for toothbrushing by reviewing health behavior models. The main data source was the 2017 Community Health Survey. We performed a four-level random intercept logistic regression to predict toothbrushing behavior. (individual, household, Gi/Gun/Gu, and Si/Do).

resultsIndividuals under 30 years of age had higher likelihood of brushing after lunch, while brushing after dinner was higher among those aged 40-79 years. People engaged in service/sales, agriculture/fishing/labor/mechanics, as well as student/housewife/unemployed were 0.60, 0.41, and 0.49 times less likely to brush their teeth after lunch, respectively, compared to those working in the office, but the gap narrowed to 0.97, 0.96, 0.94 for brushing after dinner. We also found significant area-level variations in the timing of brushing.

conclusionsDifferent patterns in association with various factors at individual-, household- and Si/Gun/Gu-levels with toothbrushing after lunch versus toothbrushing after dinner suggests a need for tailored interventions to improve toothbrushing behavior depending on the time of day.

Indexed as

Health BehaviorToothbrushingAdultHumansMultilevel AnalysisHealth behaviorMultilevel modelingOral healthToothbrushing

Identifiers

PMID38001518
PMCPMC10668384
OpenAlexW4388977654

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.