Evidence map›Paper›PMID 38317129›Full record

ArticleBMC oral health2024

Relationship between oral health and depression: data from the National Health Survey 2016-2017.

Tomás Palomer, Valeria Ramírez, Duniel Ortuño

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in BMC oral health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
6.8field-weighted citation impact, top 3% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Tomás PalomerUniversidad de los Andes, Santiago, Chile.
Valeria RamírezPontificia Universidad Católica de Chile, Santiago, Chile. vramirez@uandes.cl.
Duniel OrtuñoUniversidad de los Andes, Santiago, Chile.
Universidad de Los Andes, Chile · CLPontificia Universidad Católica de Chile · CL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the relationship between oral health status, self-perception of oral health, and depression.

methodsThis cross-sectional study included 2953 individuals that were ≥ 18 years of age and participated in the Chilean National Health Survey (NHS), 2016-2017. Information on oral, dental, and mental health, and the presence or absence of depressive symptoms was collected. Secondary data analysis was carried out using STATA and included logistic regression models adjusted for sex, age, and educational level. The analyses factored in the expansion weights to estimate representative prevalences of the entire population.

resultsParticipants experiencing frequent dental or prosthesis-related discomfort while speaking (OR: 1.57; 95% CI: 1.01-2.43) were related with exhibiting suspected depression. Removable upper denture users were at a higher risk of exhibiting suspected (OR: 2.04; 95% CI: 1.11-3.74) than those not using them. Participants diagnosed with depression in the past 12 months had a similar number of teeth (median = 24) compared to those without depression (median = 25) (OR: 0.99; 95% CI: 0.96-1.02).

conclusionExperiencing dental or prosthesis-related difficulties in speaking is related to suspected depression or a diagnosis of depression. These findings highlight the importance of developing comprehensive healthcare approaches that consider mental health in the context of oral health.

Indexed as

DepressionOral HealthCross-Sectional StudiesDenturesHealth SurveysHumansDepressionHealth surveysMental healthOral healthSelf-assessment

Identifiers

PMID38317129
PMCPMC10845575
OpenAlexW4391531786

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.