OBJECTIVES: Poor diet due to poor oral health was proposed as a potential mediator of the association between poor oral health and frailty. This study explores the cross-sectional associations between poor oral health, poor diet, and frailty in Canadian adults, aged 45 to 85 years, and then tests whether the expected oral health-frailty association is changed by taking into account the pathway through poor diet. DESIGN: Cross-sectional study. SETTING: The baseline wave of the Canadian Longitudinal Study on Aging, a nationally representative population study. PARTICIPANTS: Data from 28 738 community-dwelling participants, aged 45 to 85 years. MEASUREMENTS: We characterized poor oral health (cumulative count of 24 items of oral health problems), poor diet (scale of poor food consumption from 7 healthy foods groups), and frailty (cumulative frailty index of 76 items). Regression-based path analyses were used to investigate associations between poor oral health, poor diet, and frailty, adjusted for age group, sex, income, smoking, living alone, education, physical activity, social support, and dental visit. RESULTS: Poorer oral health was associated with low income, smoking, low physical activity, low social support, and no dental visit. There were associations between poorer oral health and poorer diet (effect size β adjusted = .40; 95% confidence interval [CI] = .20-.61) and between poorer oral health and increased frailty (β adjusted = .85; 95% CI = .68-1.02). The indirect effect through the path of poor diet was approximately 0.01 (95% CI = 0.01-0.02) (ie, explaining 1% of the effect of poor oral health on frailty). CONCLUSIONS: Poor oral health was associated with poor diet and frailty. Each additional oral health problem was associated with an increase of approximately 1 frailty index point, even after full adjustment for poor diet. The indirect effect of poor oral health through poor diet was modest. Though poor oral health was associated with poorer diet quality, a more direct effect of poor oral health on increasing frailty may be indicated. J Am Geriatr Soc 68:959-966, 2020.
BACKGROUND: A clinical practice guideline (CPG) reporting checklist is used to assist CPG developers in recording what content should be provided in a CPG report. Recently, two checklists have become available on the Enhancing the QUAlity and Transparency Of health Research Network website: AGREE (Appraisal of Guidelines, Research and Evaluation) published in 2016 and RIGHT (Reporting Items for practice Guidelines in HealThcare) published in 2017. The objective of this study was to describe the advantages and disadvantages of these two CPG reporting checklists. METHODS: Two epidemiologists who lacked experience using both AGREE and RIGHT but were familiar with evidence-based medicine methodology independently compared AGREE with RIGHT on an item-by-item basis. Their assessments were compiled on a pre-designed data form and any disagreements were resolved through discussion. Three other co-authors independently compared AGREE with RIGHT and decided if they agreed with the results of comparison of the two CPG reporting checklists from the first two co-authors. Finally, another co-author reviewed the comparison results to ensure that the description was clear and understandable. RESULTS: The following six relationships between the two checklists were observed: (1) 11 items from AGREE completely matched with 12 items from RIGHT; (2) four items were listed in AGREE only; (3) 12 items were listed in RIGHT only; (4) three items in AGREE were partially covered by three items in RIGHT; (5) six items in RIGHT were partially covered by three items in AGREE; and (6) two items intersected across AGREE and RIGHT. Based on the comparison results, the potential impact analysis of selecting either checklist is described. DISCUSSION: We recommend that CPG developers use either AGREE plus items unique to RIGHT or RIGHT plus items unique to AGREE.
The FI is a feasible method to evaluate frailty and capture frailty-related heterogeneity in populations aged 45-85 years. In this study, the FI had good construct validity in middle-aged and older adults, showing expected correlations with sociodemographic factors consistently across age groups. This method can be easily reproduced in similar datasets, making the FI a generalisable instrument.
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