德克萨斯州医疗服务不足地区和农村地区低收入无保险人群中乳腺 X 光检查结果异常的相关因素。

IF 1.6 Q3 OBSTETRICS & GYNECOLOGY Women's health reports (New Rochelle, N.Y.) Pub Date : 2024-09-06 eCollection Date: 2024-01-01 DOI:10.1089/whr.2024.0048
Wen Hsin Chen, Arica Brandford, Rosaleen Bloom, Gang Han, Scott Horel, Marivel Sanchez, Anna Lichorad, Jane Bolin
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引用次数: 0

摘要

背景:本研究调查了德克萨斯州中部指定卫生专业人员短缺地区的邻里特征、乡村、民族/种族与乳腺癌筛查结果之间的潜在关联。获得预防性医疗服务的机会有限会影响筛查率和筛查结果。以往关于农村、社区社会经济地位和教育水平等因素对癌症预防行为影响的研究结果并不一致:我们分析了一项由州政府资助的乳腺癌和宫颈癌筛查项目的数据,该项目针对弱势群体和医疗服务不足者。我们使用混合效应逻辑回归模型来评估居住地特征(农村、教育程度、失业和贫困)对异常乳腺癌筛查结果的影响,并以个人水平(年龄、民族、种族和教育程度)作为控制变量:在研究期间,共有 1 139 名妇女接受了筛查,发现了 134 张异常乳房 X 光照片。在 0.05 的水平上,驻地特征与乳房 X 光检查异常结果无明显关联。然而,个人因素与异常筛查结果密切相关。与西班牙裔或拉丁裔妇女相比,非西班牙裔或拉丁裔白人妇女出现临床结果异常的几率更高(OR = 2.03,CI 1.25-3.28;P = 0.004)。此外,与大学毕业率低于15%的县相比,居住在大学毕业率超过30%的县的妇女乳房X光检查结果异常的几率更高(OR = 2.89,CI 0.99-8.38;P = 0.051):本研究发现,地区教育特征与乳腺 X 光检查结果异常之间存在明显的相关性。未来的研究应探索影响乳腺癌发生的环境风险因素,并为这一人群制定有针对性的干预措施。
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Factors Associated with Abnormal Mammogram Results Among Low-Income Uninsured Populations in Medically Underserved And Rural Texas Regions.

Background: This study investigated the potential associations between neighborhood characteristics, rurality, ethnicity/race, and breast cancer screening outcomes in designated Health Professional Shortage Areas in Central Texas. Limited access to preventive medical care can impact screening rates and outcomes. Previous research on the effects of factors such as rurality, neighborhood socioeconomic status, and education level on cancer prevention behaviors has yielded inconsistent results.

Materials and methods: We analyzed data from a state-funded breast and cervical cancer screening programs for disadvantaged and medically underserved individuals. A mixed-effects logistic regression model was used to assess the impact of residency characteristics (rurality, educational attainment, unemployment, and poverty) on abnormal breast cancer screening outcomes, with individual level (age, ethnicity, race, and education) as control variables.

Results: During the studied time, there were 1,139 women screened and 134 abnormal mammograms found. Residency characteristics were not significantly associated with abnormal mammography outcomes at 0.05. However, individual factors are strongly associated with abnormal screening results. Non-Hispanic or Latino white women had increased odds of abnormal clinical outcomes compared with Hispanic or Latino women (OR = 2.03, CI 1.25-3.28; p = 0.004). Additionally, women residing in counties with more than 30% of the population completing college had increased odds of abnormal mammogram outcomes compared with counties with less than 15% college attainment (OR = 2.89, CI 0.99-8.38; p = 0.051).

Conclusions: This study found a significant correlation between area-level educational characteristics and abnormal mammography outcomes. Future research should explore the contextual risk factors influencing breast cancer occurrence and develop targeted interventions for this population.

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来源期刊
CiteScore
1.30
自引率
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审稿时长
18 weeks
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