美国的社会劣势和包括口腔疾病在内的多病症。

Journal of dental research Pub Date : 2024-05-01 Epub Date: 2024-03-19 DOI:10.1177/00220345241228834
A Mirza, R G Watt, A Heilmann, M Stennett, A Singh
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引用次数: 0

摘要

现有的多病症研究在估算多病症患病率时大多不包括口腔疾病。这背后的原因尚不清楚,因为慢性口腔疾病的发病率很高,影响着全球一半以上的人口。为了填补这一空白,我们研究了社会不利条件与多病症之间的关系,并根据口腔疾病的纳入和排除情况进行了分层。我们利用美国国家健康与营养调查(2013-2014 年)对 30 岁及以上的参与者(n = 3,693 人)进行了横断面分析。多病症的定义是患有 2 种或 2 种以上慢性疾病。研究对象包括五种疾病:糖尿病、哮喘、关节炎、心血管疾病和抑郁症,以及四种口腔健康状况:龋齿、牙周病、牙齿数量和无牙。教育程度和收入贫困率被选为衡量社会不利条件的指标。使用反概率处理加权法(IPTW)对社会不利条件下的多病症患病率估计值进行了绝对和相对分析,并对年龄、性别和种族进行了调整。将口腔健康状况纳入多病评估后,多病的总体患病率从 20.8% 增加到 53.4%。IPTW 分析结果显示,在排除口腔疾病的情况下,多病症估计值的社会梯度非常明显。在纳入口腔疾病后,所有社会群体的多病症患病率在教育程度和收入方面都较高。根据口腔状况进行分层,与高学历群体相比,低学历群体的多病患病平均概率高出 27%(95% 置信区间 [CI],23%-30%)。同样,低收入组患多病的平均概率比高学历组高 44%(95% 置信区间,40%-48%)。相对而言,与高学历相比,低学历者的多病症患病率要高出 1.52 倍(95% CI,1.44-1.61)。低收入与多病症患病率高出 2.18 倍(95% CI,1.99-2.39)有关。这项新颖的研究有力地证明了慢性口腔疾病对多病患病率估计的影响。
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Social Disadvantage and Multimorbidity Including Oral Conditions in the United States.

Existing studies on multimorbidity have largely excluded oral diseases in multimorbidity prevalence estimates. The reason behind this is somewhat unclear, as chronic oral conditions are highly prevalent, affecting over half the global population. To address this gap, we examined the relationship between social disadvantage and multimorbidity, stratifying by the inclusion and exclusion of oral conditions. For participants aged 30 y and over (n = 3,693), cross-sectional analysis was carried out using the US National Health and Nutrition Survey (2013-2014). Multimorbidity was defined as having 2 or more chronic conditions. Five medical conditions were examined: diabetes, asthma, arthritis, cardiovascular disease, and depression, as well as 4 oral health conditions: caries, periodontal disease, number of teeth, and edentulousness. Education and income poverty ratio were selected as measures of social disadvantage. Multimorbidity prevalence estimates according to social disadvantage were analyzed on an absolute and relative scale using inverse probability treatment weighting (IPTW), adjusting for age, sex, and ethnicity. The inclusion of oral health conditions in the assessment of multimorbidity increased the overall prevalence of multimorbidity from 20.8% to 53.4%. Findings from IPTW analysis demonstrated clear social gradients for multimorbidity estimates stratified by the exclusion of oral conditions. Upon inclusion of oral conditions, the prevalence of multimorbidity was higher across all social groups for both education and income. Stratifying by the inclusion of oral conditions, the mean probability of multimorbidity was 27% (95% confidence interval [CI], 23%-30%) higher in the low-education group compared to the high-education group. Similarly, the mean probability of multimorbidity was 44% (95% CI, 40%-48%) higher in the low-income group. On a relative scale, low education was associated with a 1.52 times (95% CI, 1.44-1.61) higher prevalence of multimorbidity compared to high education. Low income was associated with a 2.18 (95% CI, 1.99-2.39) higher prevalence of multimorbidity. This novel study strongly supports the impact of chronic oral conditions on multimorbidity prevalence estimates.

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