The relationship of oral health literacy with oral health-related quality of life in a multi-racial sample of low-income female caregivers
The relationship of oral health literacy with oral health-related quality of life in a multi-racial sample of low-income female caregivers
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DOI：
10.1186/1477-7525-9-108
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发表时间：
2011-12-01
影响因子：
3.6
通讯作者：
Vann, William F., Jr.
中科院分区：
文献类型：
--
作者：
Divaris, Kimon;Lee, Jessica Y.;Vann, William F., Jr.
背景：调查口腔健康素养(OHL)与口腔健康相关生活质量(OHRQOL)的关系，并探讨低收入社区女性WIC参与者之间的种族差异。方法：参加卡罗莱纳口腔健康素养(COHL)研究的受试者(N=1,405)完成了口腔健康影响概况指数(OHIP-14)和RealD-30(单词再认识字测试)的简表。社会人口统计和自我报告的牙科就诊数据是通过结构化访谈收集的。严重程度(OHIP-14累计得分)和影响程度(相当/经常报告的项目数)得分被计算为人力厅生活质量的衡量标准。以RealD-30累计评分评定OHL。采用描述性和可视化的方法研究OHL与OHRQOL的关系，并使用Spearman‘s Rho和零膨胀负二项模型进行量化。结果：研究组包括相当数量的非裔美国人(AA=41%)和美国印第安人(AI=20%)。样本中的大多数人受过高中或高中以下教育，平均年龄为26.6岁。三分之一的参与者报告至少有一次对口腔健康的影响。OHIP-14的严重程度和程度平均得分分别为10.6[95%可信区间=10.0，11.2]和1.35(95%可信区间=1.21，1.50)。OHL评分服从正态分布，RealD-30平均(标准差，SD)为15.8(5.3)。OHL与OHRQOL的相关性较弱：患病率Rho=-0.14(95%CL=-0.20，-0.08)；程度Rho=-0.14(95%CL=-0.19，-0.09)；严重程度Rho=-0.10(95%CL=-0.16，-0.05)。“低”OHL(定义为13 RealD-30评分)与更差的OHRQOL相关，OHIP-14影响的患病率从严重程度的11%到程度的34%不等。在多变量分析中，OHL与OHIP-14影响的反向关联持续存在：OHL中一次SD改变的问题比率(PRR)=0.91(95%CL=0.86，0.98)。按种族分层显示效果-测量修正：白人-PRR=1.01(95%CL=0.91，1.11)；AA-PRR=0.86(95%CL=0.77，0.96)。结论：尽管在整个样本中，OHL和OHRQOL之间的负关联很弱，但低OHL组的受试者报告的OHRQOL影响显著多于文化程度较高的受试者。我们的发现表明，OHL和OHRQOL之间的关联可能会被种族改变。
Background: To investigate the association between oral health literacy (OHL) and oral health-related quality of life (OHRQoL) and explore the racial differences therein among a low-income community-based group of female WIC participants.Methods: Participants (N = 1,405) enrolled in the Carolina Oral Health Literacy (COHL) study completed the short form of the Oral Health Impact Profile Index (OHIP-14, a measure of OHRQoL) and REALD-30 (a word recognition literacy test). Socio-demographic and self-reported dental attendance data were collected via structured interviews. Severity (cumulative OHIP-14 score) and extent of impact (number of items reported fairly/very often) scores were calculated as measures of OHRQoL. OHL was assessed by the cumulative REALD-30 score. The association of OHL with OHRQoL was examined using descriptive and visual methods, and was quantified using Spearman's rho and zero-inflated negative binomial modeling.Results: The study group included a substantial number of African Americans (AA = 41%) and American Indians (AI = 20%). The sample majority had a high school education or less and a mean age of 26.6 years. One-third of the participants reported at least one oral health impact. The OHIP-14 mean severity and extent scores were 10.6 [95% confidence limits (CL) = 10.0, 11.2] and 1.35 (95% CL = 1.21, 1.50), respectively. OHL scores were distributed normally with mean (standard deviation, SD) REALD-30 of 15.8 (5.3). OHL was weakly associated with OHRQoL: prevalence rho = -0.14 (95% CL = -0.20, -0.08); extent rho = -0.14 (95% CL = -0.19, -0.09); severity rho = -0.10 (95% CL = -0.16, -0.05). "Low" OHL (defined as < 13 REALD-30 score) was associated with worse OHRQoL, with increases in the prevalence of OHIP-14 impacts ranging from 11% for severity to 34% for extent. The inverse association of OHL with OHIP-14 impacts persisted in multivariate analysis: Problem Rate Ratio (PRR) = 0.91 (95% CL = 0.86, 0.98) for one SD change in OHL. Stratification by race revealed effect-measure modification: Whites-PRR = 1.01 (95% CL = 0.91, 1.11); AA-PRR = 0.86 (95% CL = 0.77, 0.96).Conclusions: Although the inverse association between OHL and OHRQoL across the entire sample was weak, subjects in the "low" OHL group reported significantly more OHRQoL impacts versus those with higher literacy. Our findings indicate that the association between OHL and OHRQoL may be modified by race.