Background:This study aims to evaluate the potential relationship between county-level social determinants of health (SDOH)—specifically education and job status—and cancer mortality.Methods: We utilized Social Determinants of Health (SDOH) data from the Agency for Healthcare Quality (AHRQ) 2015 county database for a cross-sectional study investigating the primary independent variables—low education and low employment status—and the outcome of cancer mortality.Results: Out of 3134 counties, 906 exhibited poor employment levels, while 467 showed low educational attainment. The age-adjusted cancer death rate for non-low-education counties was 172.90 [157.00, 188.40], but for low-education counties it was 186.20 [161.72, 209.33],p< 0.001. Conversely, this was 169.15 [154.00, 183.50], compared to 189.80 [171.90, 207.10],p< 0.001, for counties with low employment. The adjusted analysis indicated that counties with low education levels were correlated with elevated age-adjusted cancer mortality (7.68, 95% CI: 5.06–10.31), and similarly, counties with low employment rates were linked to increased age-adjusted cancer mortality (4.69, 95% CI: 2.58–6.79).Conclusions: Our findings indicate that counties characterized by low educational attainment and poor employment levels are associated with elevated age-adjusted cancer death rates.
背景：本研究旨在评估县级健康社会决定因素（SDOH）——特别是教育程度与就业状况——与癌症死亡率之间的潜在关联。 方法：我们利用医疗质量研究机构（AHRQ）2015年县级数据库中的健康社会决定因素（SDOH）数据，开展了一项横断面研究，主要考察低教育水平与低就业状况这两个独立变量与癌症死亡率之间的关系。 结果：在3134个县中，有906个县就业水平较低，467个县教育程度偏低。非低教育水平县的年龄调整癌症死亡率为172.90 [157.00, 188.40]，而低教育水平县为186.20 [161.72, 209.33]，p < 0.001。相比之下，非低就业水平县的死亡率为169.15 [154.00, 183.50]，而低就业水平县为189.80 [171.90, 207.10]，p < 0.001。调整后的分析显示，低教育水平县与较高的年龄调整癌症死亡率相关（7.68, 95% CI: 5.06–10.31），同样，低就业率县也与较高的年龄调整癌症死亡率相关（4.69, 95% CI: 2.58–6.79）。 结论：我们的研究结果表明，教育程度低和就业水平差的县与较高的年龄调整癌症死亡率相关。
肿瘤(癌症)患者之家