A Comparative Analysis of Oral Health and Self-Rated Health: ‘All of Us Research Program’ vs. ‘Health and Retirement Study’ DOI Open Access
Jane A. Weintraub, Kevin Moss, Tracy L. Finlayson

et al.

International Journal of Environmental Research and Public Health, Journal Year: 2024, Volume and Issue: 21(9), P. 1210 - 1210

Published: Sept. 13, 2024

Poor oral health can impact overall health. This study assessed the association between dental factors (dentate status and utilization) self-rated (S-RH) among older adults in two cross-sectional datasets: (1) NIH "All of Us (AoU) Research Program" (May 2018-July 2022 release) (2) U.S. nationally representative "Health Retirement Study" (HRS) 2018 wave. Participants aged ≥ 51 years were included these analyses if from AoU, they had clinical medical data electronic records (EHRs) surveys (n = 5480), HRS, socio-demographic survey 14,358). S-RH was dichotomized (fair/poor vs. better) analyzed with logistic regression. Sample weights for HRS stratification averaging AoU results used weighted race-ethnicity age distribution standardized respective to population. Fair/poor reported by 32.6% 28.6% HRS. Dentate information available 7.7% EHRs. In population-standardized analyses, lack service use increased odds fair/poor OR (95% CI) 1.28 (1.11-1.48), 1.45 (1.09-1.94), as did having diabetes, less education, ever being a smoker. Having no natural teeth not statistically associated S-RH. Lack positively both datasets. More better are needed.

Language: Английский

Modelling Predictors of Homophily on Perceived Oral Health Status Among Social Network Ties in a Population of Public Housing Residents DOI Creative Commons
Sharon M. Casey, Mabeline Velez, Robert McDonough

et al.

Community Dentistry And Oral Epidemiology, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 26, 2025

ABSTRACT Purpose Individual behaviours are often shared within social networks (homophily), suggesting network‐level interventions hold promise for health promotion. Yet, little is known about oral homophily. This study aimed to identify individual‐ and network‐based predictors of homophily among individual's (ego) public housing residents. Methods Respondents self‐reported demographics, status associated risk ( n = 277). They named contacts (alters), reported on relationship attributes, demographics behavioural characteristics 889). Hypothesised included attributes (e.g., contact frequency), respondent‐level characteristics. Oral was modelled using multilevel (hierarchical) logistic regression evaluating model (AIC) determine gains in explanatory power. Results Relationship strength, including high frequency meals contact, with higher odds (OR [95% CI]: 1.92 [1.05, 3.52] 1.62 [1.00, 2.63], respectively). The best performing daily respondent age, smoking status. Conclusions predicted by strength ‘excellent/very good/good’ health. poorer a history were less homophilous Multilevel targeting outcomes may benefit from accounting relationships.

Language: Английский

Citations

0

Evaluation of the psychometric properties of the Oral Health Behavior Social Support (OHBSS) Scales in English and Spanish for Mexican-origin young adults DOI Creative Commons
Tracy L. Finlayson, Cristian Garcia‐Alcaraz, Vanessa L. Malcarne

et al.

BMC Oral Health, Journal Year: 2025, Volume and Issue: 25(1)

Published: April 10, 2025

Valid, reliable measures of psychosocial constructs are needed in oral health research. This study quantitatively evaluated the psychometric properties nine new Oral Health Behavior Social Support (OHBSS) scales, which measured support for three behaviors (brushing, flossing, dental care), queried each sources (family, providers, others/friends). Young Mexican-origin adults southwestern United States-Mexico border region completed an online survey, English or Spanish (N = 502). Survey items included: OHBSS general social behaviors, self-rated status, anxiety, acculturation and socio-demographics. Subsample 1 participants also a exam 41). 2 repeat survey two-to-six weeks later 56). Psychometric were tabulated, overall by language preference (English Spanish). Convergent divergent validity via correlations between dental-specific scores from validated scales expected to be largely unrelated (acculturation, anxiety). Correlations examined predictive self-reported clinical outcomes. Test-retest reliability was assessed intraclass correlation coefficients 2. Of 502 participants, 60% preferred speaking English, 37% single, 21% male. indicated that providers then family provided most all while others/friends did not provide much support. speakers tended have higher than speakers. followed patterns supported convergent validity, full sample across languages. exhibited many significant weak-moderate positive (r 0.10-0.38) with scales. Few (11/108) (< -0.16) observed acculturation, anxiety. some health-promoting behaviors. associated good test-retest Spanish. acceptable both versions. The valid tools assessing family, others/friends. Not applicable.

Language: Английский

Citations

0

A Comparative Analysis of Oral Health and Self-Rated Health: ‘All of Us Research Program’ vs. ‘Health and Retirement Study’ DOI Open Access
Jane A. Weintraub, Kevin Moss, Tracy L. Finlayson

et al.

International Journal of Environmental Research and Public Health, Journal Year: 2024, Volume and Issue: 21(9), P. 1210 - 1210

Published: Sept. 13, 2024

Poor oral health can impact overall health. This study assessed the association between dental factors (dentate status and utilization) self-rated (S-RH) among older adults in two cross-sectional datasets: (1) NIH "All of Us (AoU) Research Program" (May 2018-July 2022 release) (2) U.S. nationally representative "Health Retirement Study" (HRS) 2018 wave. Participants aged ≥ 51 years were included these analyses if from AoU, they had clinical medical data electronic records (EHRs) surveys (n = 5480), HRS, socio-demographic survey 14,358). S-RH was dichotomized (fair/poor vs. better) analyzed with logistic regression. Sample weights for HRS stratification averaging AoU results used weighted race-ethnicity age distribution standardized respective to population. Fair/poor reported by 32.6% 28.6% HRS. Dentate information available 7.7% EHRs. In population-standardized analyses, lack service use increased odds fair/poor OR (95% CI) 1.28 (1.11-1.48), 1.45 (1.09-1.94), as did having diabetes, less education, ever being a smoker. Having no natural teeth not statistically associated S-RH. Lack positively both datasets. More better are needed.

Language: Английский

Citations

0