Income and wealth as correlates of socioeconomic disparity in dentist visits among adults aged 20 years and over in the United States, 2011-2014

Abstract Background Most studies in the United States (US) have used income and education as socioeconomic indicators but there is limited information on other indicators, such as wealth. We aimed to assess how two socioeconomic status measures, income and wealth, compare as correlates of socioecono...

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Main Authors: Alexander Kailembo (Author), Carlos Quiñonez (Author), Gabriela V. Lopez Mitnik (Author), Jane A. Weintraub (Author), Jennifer Stewart Williams (Author), Raman Preet (Author), Timothy Iafolla (Author), Bruce A. Dye (Author)
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Published: BMC, 2018-08-01T00:00:00Z.
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042 |a dc 
100 1 0 |a Alexander Kailembo  |e author 
700 1 0 |a Carlos Quiñonez  |e author 
700 1 0 |a Gabriela V. Lopez Mitnik  |e author 
700 1 0 |a Jane A. Weintraub  |e author 
700 1 0 |a Jennifer Stewart Williams  |e author 
700 1 0 |a Raman Preet  |e author 
700 1 0 |a Timothy Iafolla  |e author 
700 1 0 |a Bruce A. Dye  |e author 
245 0 0 |a Income and wealth as correlates of socioeconomic disparity in dentist visits among adults aged 20 years and over in the United States, 2011-2014 
260 |b BMC,   |c 2018-08-01T00:00:00Z. 
500 |a 10.1186/s12903-018-0613-4 
500 |a 1472-6831 
520 |a Abstract Background Most studies in the United States (US) have used income and education as socioeconomic indicators but there is limited information on other indicators, such as wealth. We aimed to assess how two socioeconomic status measures, income and wealth, compare as correlates of socioeconomic disparity in dentist visits among adults in the US. Methods Data from the National Health and Nutrition Examination Survey (NHANES) 2011-2014 were used to calculate self-reported dental visit prevalence for adults aged 20 years and over living in the US. Prevalence ratios using Poisson regressions were conducted separately with income and wealth as independent variables. The dependent variable was not having a dentist visit in the past 12 months. Covariates included sociodemographic factors and untreated dental caries. Parsimonious models, including only statistically significant (p < 0.05) covariates, were derived. The Akaike Information Criterion (AIC) measured the relative statistical quality of the income and wealth models. Analyses were additionally stratified by race/ethnicity in response to statistically significant interactions. Results The prevalence of not having a dentist visit in the past 12 months among adults aged 20 years and over was 39%. Prevalence was highest in the poorest (58%) and lowest wealth (57%) groups. In the parsimonious models, adults in the poorest and lowest wealth groups were close to twice as likely to not have a dentist visit (RR 1.69; 95%CI: 1.51-1.90) and (RR 1.68; 95%CI: 1.52-1.85) respectively. In the income model the risk of not having a dentist visit were 16% higher in the age group 20-44 years compared with the 65+ year age group (RR 1.16; 95%CI: 1.04-1.30) but age was not statistically significant in the wealth model. The AIC scores were lower (better) for the income model. After stratifying by race/ethnicity, age remained a significant indicator for dentist visits for non-Hispanic whites, blacks, and Asians whereas age was not associated with dentist visits in the wealth model. Conclusions Income and wealth are both indicators of socioeconomic disparities in dentist visits in the US, but both do not have the same impact in some populations in the US. 
546 |a EN 
690 |a Disparities 
690 |a Inequalities 
690 |a Socioeconomic position 
690 |a Income 
690 |a Wealth 
690 |a Dental utilization, Dental visits 
690 |a Dentistry 
690 |a RK1-715 
655 7 |a article  |2 local 
786 0 |n BMC Oral Health, Vol 18, Iss 1, Pp 1-10 (2018) 
787 0 |n http://link.springer.com/article/10.1186/s12903-018-0613-4 
787 0 |n https://doaj.org/toc/1472-6831 
856 4 1 |u https://doaj.org/article/8f604d38daa248e18ef1da73b3a2df0c  |z Connect to this object online.