Multimorbidity patterns of oral clinical conditions, social position, and oral health-related quality of life in a population-based survey of 12-yr-old children

Abstract

The aim of this study was to describe the patterns of multimorbidities of oral clinical conditions in children. The association between social position and number of oral clinical conditions, and the relationship of social position and number of oral clinical conditions with oral health‐related quality of life [OHRQoL, measured using the Brazilian Child‐Oral Impacts on Daily Performance (Child‐OIDP)] were also investigated. The study analysed data on 7,208 children, 12 yr of age, from the Brazilian Oral Health Survey (SBBrasil Project). Cluster analysis based on the observed/expected (O/E) ratios identified six significant clusters of oral clinical conditions: (i) dental caries and missing teeth; (ii) dental caries and dental trauma; (iii) dental trauma and gingivitis; (iv) dental caries, missing teeth, and dental trauma; (v) dental caries, dental trauma, and gingivitis; and (vi) all oral clinical conditions. Ordinal regression showed that poor social position was associated with a large number of oral clinical conditions. Poisson regression demonstrated that low social position and greater number of oral clinical conditions increased the likelihood of poor OHRQoL (Child‐OIDP extent). The four oral clinical conditions clustered into six distinct clusters among Brazilian children. Multimorbidity of oral clinical conditions predicted poor OHRQoL. Social position was of high relevance to multimorbidity of oral clinical conditions and children′s OHRQoL.

Socio‐economic status, social support, social network, dental status, and oral health reported outcomes in adolescents

“…The number of permanent incisors with score ≥1 were summed with a final score ranging from 0 to 8. The latent variable dental clinical status was used as previous research has reported a significant clustering of decayed teeth, missing teeth, and dental trauma in adolescents . This suggests the use of a combined measure to characterize adolescents’ oral clinical status.…”

Prevalence and patterns of multimorbidity among the elderly in China: a cross-sectional study using national survey data

“…The relative risk of comorbidity for individual chronic conditions was also calculated. Relative risk of comorbidity (RR) is the ratio of the number of people with a certain chronic condition who suffer from multimorbidity to the number of patients with the same disease who do not suffer from multimorbidity 11 12. In other words, a higher RR value means a higher probability that the disease coexists with other diseases.…”

Changing dominance in mixed profession groups: putting theory into practice

“…Changing demographics (e.g., Baumgartner, Schimmel, & Müller, 2015;Thistlethwaite, 2012;WHO, 2012), increasing the complexity of work (e.g., Hood, 2012;Koné Pefoyo et al, 2015;Vettore, Meira, Rebelo, Rebelo Vieira, & Machuca, 2016) and fragmentation through increasing specialization (e.g., Agha, Frandsen, & Rebitzer, 2017;Teece & Abdulrahman, 2011;Tsoukas & Vladimirou, 2001) are three important reasons that increase the necessity to integrate services. The challenge of integrating services of different disciplines and organizations is prominent in health care (Hood, 2012;Xyrichis, Reeves, & Zwarenstein, 2017), social work (e.g., Archibald & Estreet, 2017;Bolin, 2016) and information technology (e.g., Bryan Jean, Sinkovics, & Kim, 2014;Gal, Blegind Jensen, & Lyytinen, 2014).…”