Evidence map›Paper›PMID 41788897›Full record

ArticleFrontiers in oral health2026

Gingival bleeding and lower number of natural teeth are predictive factors of low muscle strength in obese adults: a cross-sectional study.

Karina Sarno Paes Alves Dias, Virgílio Santana-Júnior, Luciana Mara Barbosa Pereira, Hérika Maria Silveira Ruas, Felipe Oliveira Bittencourt, Gefter Thiago Batista Correa, Stênio Fernando Pimentel Duarte, Juciane Fagundes Durães Benitez, Renato Sobral Monteiro Junior, Sérgio Henrique Sousa Santos and 2 more

Abstract read
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Article in Frontiers in oral health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Karina Sarno Paes Alves DiasGraduate Program in Health Sciences, Health Research Institute, State University of Montes Claros, Montes Claros, Brazil.
Virgílio Santana-JúniorGraduate Program in Health Sciences, Health Research Institute, State University of Montes Claros, Montes Claros, Brazil.
Luciana Mara Barbosa PereiraGraduate Program in Health Sciences, Health Research Institute, State University of Montes Claros, Montes Claros, Brazil.
Hérika Maria Silveira RuasGraduate Program in Health Sciences, Health Research Institute, State University of Montes Claros, Montes Claros, Brazil.
Felipe Oliveira BittencourtGraduate Program in Health Sciences, Health Research Institute, State University of Montes Claros, Montes Claros, Brazil.
Gefter Thiago Batista CorreaDepartments of Dentistry and Physiotherapy, Faculdade Independente do Nordeste, Vitória da Conquista, Brazil.
Stênio Fernando Pimentel DuarteInstitute of Research and Extension (INPES), Vitória da Conquista, Brazil.
Juciane Fagundes Durães BenitezGraduate Program in Health Sciences, Health Research Institute, State University of Montes Claros, Montes Claros, Brazil.
Renato Sobral Monteiro JuniorGraduate Program in Health Sciences, Health Research Institute, State University of Montes Claros, Montes Claros, Brazil.
Sérgio Henrique Sousa SantosGraduate Program in Health Sciences, Health Research Institute, State University of Montes Claros, Montes Claros, Brazil.
Desirée Sant'Ana HaikalGraduate Program in Health Sciences, Health Research Institute, State University of Montes Claros, Montes Claros, Brazil.
Alfredo Maurício Batista de PaulaGraduate Program in Health Sciences, Health Research Institute, State University of Montes Claros, Montes Claros, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Obesity is a systemic chronic disease associated with age-related skeletal muscle weakness, particularly in older adults. Chronic oral diseases share risk factors with critical non-communicable, chronic systemic diseases, including obesity. Poor oral health, increased fat mass, and muscle weakness are linked to adverse health outcomes and substantial economic burdens worldwide. This study developed predictive models of skeletal muscle strength (SMS) based on demographic characteristics, anthropometric and body composition measurements, blood biochemical examinations, and oral health parameters in obese adults. Methods: This cross-sectional study was conducted between 2022 and 2024 and included 122 Brazilian obese adults (mean age: 41.1 ± 12.8 years; 66.4% female) who received care in primary public health services. Standard methods were used to obtain appendicular and overall anthropometric measurements. Fat, non-fat, and skeletal muscle mass were assessed with bioelectrical impedance method. Handgrip strength was measured with a hydraulic handheld dynamometer. Low SMS was defined as sex-specific HGS test values fell below the 25th percentile. Blood counts and circulating biochemical variables were measured using enzymatic, chromatographic, and mass spectrometric methods. The oral health exams evaluated dental and periodontal status. Multiple linear regression analysis was employed to identify the associations between SMS and independent variables. Results: Low SMS was identified in 35.2% of obese adults. The predictive model yielded an adjusted R-squared of 0.607 and a root mean square error of 5.182. Reduced SMS included female sex ( Conclusion: This study developed and validated a predictive model for low SMS in obese adults in a public healthcare setting, utilizing demographic characteristics, anthropometric measurements, body composition assessments, clinical parameters, blood biochemical examinations, and oral health parameters. Poor oral health, characterized by gingival bleeding and tooth loss findings, is associated with a higher risk of SMS in obese adults. Multiprofessional integrated care strategies may facilitate the early identification of muscle weakness in this population within public health care settings.

Indexed as

anthropometrybioelectrical impedance analysischronic metabolic diseasehandgrip strengthinflammatory biomarkersmultivariate modelingoral health statuspreventive screening

Identifiers

PMID41788897
PMCPMC12957195

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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.