Evidence map›Paper›PMID 38468455›Full record

ArticleGerodontology2024

Dentition and weight status in community-dwelling older adults.

Rena Zelig, Amy Lyon, Riva Touger-Decker, Steven R Singer, Hamed Samavat

Abstract read
In one paragraph

Article in Gerodontology, 2024. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

5 authors.

Rena ZeligDepartment of Clinical and Preventive Nutrition Sciences, Rutgers School of Health Professions, Newark, New Jersey, USA.ORCID https://orcid.org/0000-0003-0003-1205
Amy LyonDepartment of Clinical and Preventive Nutrition Sciences, Rutgers School of Health Professions, Newark, New Jersey, USA.
Riva Touger-DeckerDepartment of Clinical and Preventive Nutrition Sciences, Rutgers School of Health Professions, Newark, New Jersey, USA.
Steven R SingerDepartment of Diagnostic Sciences, Rutgers School of Dental Medicine, Newark, New Jersey, USA.
Hamed SamavatDepartment of Clinical and Preventive Nutrition Sciences, Rutgers School of Health Professions, Newark, New Jersey, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectiveTooth loss is common among older adults and can affect dietary intake and weight status. This study investigated associations between dentition status and body mass index (BMI) in older adults. MATERIALS AND

methodsThis was a cross-sectional study of data from a convenience sample of older adults (65-89 years) treated at an urban U.S. dental school clinic. Clinical and demographic data were obtained from electronic health records. Dentition status was determined based on data from odontograms. Multinomial logistic regression was used to estimate the odds ratio (OR) and 95% confidence interval (CI) of having a non-normal weight status for each measure of dentition status, after adjusting for covariates.

resultsPatients (n = 1765) were 54.1% female, 51.5% White, 41.6% African American and 22.5% Hispanic/Latino. The median (interquartile range [IQR]) age was 71 (67.0-75.0) years; the mean (±SD) BMI was 28.5 (±5.7) kg/m

conclusionOlder adults with tooth loss - especially loss of posterior occlusion and lack of a functional dentition - were more likely to be obese than of normal weight.

Indexed as

Body Mass IndexDentitionIndependent LivingTooth LossAgedAged, 80 and overBody WeightCross-Sectional StudiesFemaleHumansMaleObesityOverweightageingbody mass indexgeriatricsnutritional statusocclusionoral healthtooth loss

Identifiers

PMID38468455
PMCPMC11671718

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.