2020
DOI: 10.1186/s12903-020-1057-1
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Contextual and individual determinants of tooth loss in adults: a multilevel study

Abstract: Background: Tooth loss represents a known marker of health inequality. The association between tooth loss and unfavorable socioeconomic conditions is evident when analyzed at an individual level. However, the effects of contextual characteristics on tooth loss need to be better investigated and understood. The objective of this study was to analyze tooth loss among Brazilian adults (35-44 years of age), in accordance with individual and contextual social characteristics. Methods: This was a multilevel cross-se… Show more

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Cited by 18 publications
(34 citation statements)
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“…Considering the number of residual teeth as an outcome, low income was found to be a risk factor of tooth loss. This concept was expressed as the average number of teeth per capita (23.4 SD2.6 vs. 26.7 SD 1.1, p < 0.01; 36,506 participants) [ 151 , 152 ], as the average difference in number of teeth (MD −0.279 [−3.48 to −2.10] p < 0.05; 5084 participants) [ 153 ] and, in addiction, as the probability of having a reduced number of teeth in terms of mean ratio (MR 0.93 [0.93–0.94], p < 0.001; 9564 participants) [ 154 ] or risk ratio (RR0.79 [95% CI 0.75–0.83], p < 0.05) [ 155 ]. The prevalence of severe tooth loss (<10 remaining teeth) also appeared to be conditioned by a low level of education, with similar scores in both men (OR 2.71 [95% CI 2.27–3.24], p < 0.001) and women (OR 3.00 [95% CI 2.31–3.90], p < 0.001) as reported in a study involving 34,975 participants [ 156 ].…”
Section: Resultsmentioning
confidence: 99%
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“…Considering the number of residual teeth as an outcome, low income was found to be a risk factor of tooth loss. This concept was expressed as the average number of teeth per capita (23.4 SD2.6 vs. 26.7 SD 1.1, p < 0.01; 36,506 participants) [ 151 , 152 ], as the average difference in number of teeth (MD −0.279 [−3.48 to −2.10] p < 0.05; 5084 participants) [ 153 ] and, in addiction, as the probability of having a reduced number of teeth in terms of mean ratio (MR 0.93 [0.93–0.94], p < 0.001; 9564 participants) [ 154 ] or risk ratio (RR0.79 [95% CI 0.75–0.83], p < 0.05) [ 155 ]. The prevalence of severe tooth loss (<10 remaining teeth) also appeared to be conditioned by a low level of education, with similar scores in both men (OR 2.71 [95% CI 2.27–3.24], p < 0.001) and women (OR 3.00 [95% CI 2.31–3.90], p < 0.001) as reported in a study involving 34,975 participants [ 156 ].…”
Section: Resultsmentioning
confidence: 99%
“…In terms of the number of residual teeth, low-income people were more likely to show fewer teeth than control group individuals (24.48 SD 0.05 vs. 21.81 SD 0.13, p < 0.001; 36,026 participants) [ 152 ]. This increased tooth loss was also expressed in terms of mean difference (MD −0.69 [–1.22 to –0.15], p < 0.05) [ 153 ] and of higher probability (mean ratio 1.97, [CI 1.76–2.20], p < 0.001; 9564 participants) [ 154 ].…”
Section: Resultsmentioning
confidence: 99%
“…Other research on social inequalities of tooth loss has used different methodological approaches to assess contextual socioeconomic conditions. Some studies have used a single measure of income inequality (e.g., Gini Index) [10,13], while another assessed the relationship between multiple contextual measures and tooth loss at the same time [12,14,15]. Due to possible similarities between the different area-level socioeconomic status measures, one study used component analysis to extract a single factor in order to aggregate different measures of socioeconomic status avoiding multicolinearity [11].…”
Section: Discussionmentioning
confidence: 99%
“…The relationship between HDI, tooth loss and completed denture need has been shown [12,14,15]. Chalub et al observed that the prevalence rates of four definitions of functional dentition were greater among adults living in cities with very high HDI (≥ 0.800) than those from very low, low and medium (≤ 0.699) HDI [12].…”
Section: Discussionmentioning
confidence: 99%
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