Ethan Gotlieb Wilcox, Tiago Pimentel, Clara Meister, Ryan Cotterell
An information-theoretic analysis of targeted regressions during reading
Cognition
existing studies multimorbidity largely excluded oral diseases multimorbidity prevalence estimates reason behind somewhat unclear chronic oral conditions highly prevalent affecting half global population address gap examined relationship social disadvantage multimorbidity stratifying inclusion exclusion oral conditions participants aged 30 n 3693 crosssectional analysis carried using us national health nutrition survey 20132014 multimorbidity defined 2 chronic conditions five medical conditions examined diabetes asthma arthritis cardiovascular disease depression well 4 oral health conditions caries periodontal disease number teeth edentulousness education income poverty ratio selected measures social disadvantage multimorbidity prevalence estimates according social disadvantage analyzed absolute relative scale using inverse probability treatment weighting iptw adjusting age sex ethnicity inclusion oral health conditions assessment multimorbidity increased overall prevalence multimorbidity 208 534 findings iptw analysis demonstrated clear social gradients multimorbidity estimates stratified exclusion oral conditions upon inclusion oral conditions prevalence multimorbidity higher across social groups education income stratifying inclusion oral conditions mean probability multimorbidity 27 95 confidence interval ci 2330 higher loweducation group compared higheducation group similarly mean probability multimorbidity 44 95 ci 4048 higher lowincome group relative scale low education associated 152 times 95 ci 144161 higher prevalence multimorbidity compared high education low income associated 218 95 ci 199239 higher prevalence multimorbidity novel study strongly supports impact chronic oral conditions multimorbidity prevalence estimates