Methodological issues in assessing the association between periodontitis and caries among adolescents

Nascimento, Gustavo G.; Bælum, Vibeke; Dahlén, Gunnar; López, Rodrigo

doi:10.1111/cdoe.12367

Cited by 20 publications

(26 citation statements)

References 23 publications

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“…Findings concerning the relationship between periodontitis and dental caries are contradictory. Prior research on this association has been heterogeneous, some has documented a positive association [56], however, recent research showed a negative correlation between the severity of periodontitis and caries prevalence [57], which is consistent with our findings. A possible explanation for the lower decay score among the periodontitis group (see Table 2), could be our finding of a lower consumption rate of sweets in the periodontitis group (see Table 3) that had been demonstrated in the study.…”

Section: Discussionsupporting

confidence: 91%

Diet Practices, Body Mass Index, and Oral Health-Related Quality of Life in Adults with Periodontitis- A Case-Control Study

Almoznino

Gal

Levin

et al. 2020

IJERPH

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Objectives: To assess and compare diet practices, body mass index (BMI), and oral health-related quality of life (OHRQoL) in adults with and without periodontitis. Methods: Demographics, health-related behaviors, BMI, dental and periodontal parameters, diet practices, and Oral Health Impact Profile-14 (OHIP-14) were collected from 62 periodontitis patients and 100 controls without periodontitis. Results: Having periodontitis was positively associated with male sex (p = 0.004), older age (p < 0.001), smoking pack-years (p = 0.006), weight (p = 0.008), BMI (p = 0.003), number of meals per day (p < 0.001) and had a negative association with decayed teeth (p = 0.013), alcohol (p = 0.006), and sweets (p = 0.007) consumption. Periodontitis patients were more likely to avoid carbonated beverages (p = 0.028), hot (p = 0.003), and cold drinks (p = 0.013), cold (p = 0.028), hard textured (p = 0.002), and fibrous foods (p = 0.02) than the controls, and exhibited higher global OHIP-14 (p < 0.001) and most domain scores. Age (p < 0.001), BMI (p =0.045), number of meals per day (p = 0.024), and global OHIP-14 score (p < 0.001) remained positively associated with periodontitis in the multivariate analysis. Conclusions: Periodontitis patients exhibited higher BMI and altered diet practices and OHRQoL as compared to controls. Assessment of diet practices, BMI, and OHRQoL should be part of periodontal work-up. Dentists and dietitians should collaborate to design strategies to address these challenges.

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Section: Discussionsupporting

confidence: 91%

Diet Practices, Body Mass Index, and Oral Health-Related Quality of Life in Adults with Periodontitis- A Case-Control Study

Almoznino

Gal

Levin

et al. 2020

IJERPH

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“…These constructs were determined according to the loading of related clinical features, indicating that the different dimensions of the disease were properly grouped. While the latent periodontal variables were differently associated to dental caries, the use of an observed categorical periodontal variable failed to detect an association . These findings, thus, suggest that a broader approach should be considered when investigating the relationship between conditions with multiple dimensions, such as MetS and periodontitis.…”

Section: Introductionmentioning

confidence: 89%

Metabolic syndrome and periodontitis: A structural equation modeling approach

Nascimento

Leite

Peres

et al. 2018

Journal of Periodontology

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Background: This study aimed to investigate the association between metabolic syndrome (MetS) and periodontitis among young adults, and also to compare results using observed and latent variables for MetS and periodontitis.Methods: Data from the 1982 Pelotas Birth Cohort, Brazil, were used. Metabolic syndrome at the age of 23 years was measured using clinical and biochemical analysis and set as the main exposure. Periodontitis at the age of 31 years was clinically measured and set as the outcome. Confounding variables included sex and maternal education, assessed at birth, family income at 23 years, and smoking status at the age of 23 and 30 years. Factor analyses (exploratory and confirmatory) were performed to define latent variables for MetS and periodontitis. In addition, both conditions were also defined as categorical observed variables. The association between MetS and periodontitis was tested in structural equation models.Results: Two latent periodontal variables were identified: "initial" and "advanced" periodontitis, while one latent variable was identified for MetS. Metabolic syndrome is positively associated with "advanced" (coefficient 0.11; P value < 0.01), but not with "initial" (coefficient -0.01; P value = 0.79) periodontitis. When MetS and periodontitis were set as observed variables in the structural equation models, no association was found irrespective of the criteria used for periodontitis classification. Conclusions:There was a positive association between metabolic syndrome and "advanced" periodontitis, when the multiple dimensions of both diseases were accounted in latent variables. Nevertheless, when MetS and periodontitis were treated as observed variables, no association was detected irrespective of the criteria used for periodontitis classification. K E Y W O R D Scohort studies, longitudinal studies, methods, periodontal diseases INTRODUCTIONMetabolic syndrome (MetS) is a cluster of metabolic abnormalities including abdominal obesity, hypertension, insulin resistance, and atherogenic dyslipidemia, associated with increased risk of diabetes and cardiovascular events. 1 The supposed link between MetS and periodontitis may be related to increased levels of proinflammatory cytokines, oxidative stress, 2 abdominal obesity, 3 and hyperglycemia. 4 Furthermore, common risk factors including health behaviors, such as smoking, unhealthy diet, and low socioeconomic position 5,6 may also be responsible for this association. A meta-analysis J Periodontol. 2019;90:655-662.

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“…Model fit was estimated using CFI, TLI, RMSEA, and CMIN / DF. Values of CFI and TLI close to .95 or higher are an indication of good fit (Nascimento, Baelum, Dahlen, & Lopez, 2018), a CMIN / DF ratio lower than 3 is considered a good fit (Eckhaus & Davidovitch, 2019;Wu, Chen, & Yuan, 2018). RMSEA values should be ≤ .06 (Hu & Bentler, 1999).…”

Section: Survey Analysismentioning

confidence: 99%

Potential for Blocking Advancement: Teaching Surveys for Student Evaluation of Lecturers

Eckhaus¹,

Davidovitch²

2019

INT J EDUC METHODOL

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In the current study we examined the relationships between student evaluations of lecturers (teaching surveys) and faculty members' perceptions of these surveys as capable of blocking and limiting their professional advancement. Faculty members are judged and evaluated by academic authorities for their academic performance in research and teaching. 178 questionnaires were collected from the faculty of several academic institutions. We employ a mix method analysis, and form a model that reflects the factors perceived by faculty members as having the potential to block their professional advancement in academia. The research findings show that lecturers are of the opinion that teaching load has a detrimental effect on students' evaluations in the surveys. Lecturers at the beginning of their academic life, those in lower ranks: senior teacher and senior lecturer, address the negative aspects of the surveys more than others. The research findings indicate that although more hours are taught in colleges than at universities, it is harder to receive positive survey ratings at colleges. Moreover, since in Israeli academia research is still the main criterion for promotion-faculty members born in Israel were found to teaching less than those born elsewhere. Hence, faculty members think that student surveys are destructive and entail risks for their professional advancement. Assuming that students' voice and opinions on teaching are important-how can a balance be achieved between the research achievements of faculty members and student satisfaction?

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Methodological issues in assessing the association between periodontitis and caries among adolescents

Cited by 20 publications

References 23 publications

Diet Practices, Body Mass Index, and Oral Health-Related Quality of Life in Adults with Periodontitis- A Case-Control Study

Diet Practices, Body Mass Index, and Oral Health-Related Quality of Life in Adults with Periodontitis- A Case-Control Study

Metabolic syndrome and periodontitis: A structural equation modeling approach

Potential for Blocking Advancement: Teaching Surveys for Student Evaluation of Lecturers

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