Department of Surgery, Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA.
Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.
J Gastrointest Cancer. 2022 Mar;53(1):170-178. doi: 10.1007/s12029-020-00564-z. Epub 2021 Jan 6.
Socioeconomic status (SES) is a known risk factor for gastric cancer (GC). This study seeks to examine education, income, and occupation variables separately to identify the single variable that can be best used to assess SES risk for GC.
Data from a case-control survey study were used. Logistic regression models were created for education, income, and occupation adjusted for age, sex, and race. Models were compared using AIC, c-statistics, and pseudo-R square to determine the model that had the highest risk predictive ability.
GC cases had lower education levels and more commonly held jobs in unskilled labor. Annual household income was lower in cases compared to controls. Age, gender, race, education, and occupation were associated with increased risk of GC. The education model adjusted for age, gender, and race found < high school (HS) education to have an OR of 3.18 (95% CI 1.09-9.25) for GC compared to > HS education. The occupation model demonstrated that employment in unskilled labor had OR of 4.32 (95% CI 1.05-17.76) for GC compared to professional occupation. Model fit was best for the education model (AIC: 113.583, lower AIC is better) compared to income (117.562) or occupation (117.032). Education contributed the most to model variability (% delta pseudo-R square (4.7%)) compared to occupation (4.0%) or income (3.8%).
Education level was the single most reliable measure of GC risk among 3 SES variables and can be employed as an ideal single indicator of SES-related GC risk when multiple SES factors cannot be obtained.
社会经济地位(SES)是胃癌(GC)的已知危险因素。本研究旨在分别检查教育、收入和职业变量,以确定可用于评估 GC 的 SES 风险的最佳单一变量。
使用病例对照调查研究的数据。为调整年龄、性别和种族后,为教育、收入和职业创建了逻辑回归模型。使用 AIC、C 统计量和伪 R 平方来比较模型,以确定具有最高风险预测能力的模型。
GC 病例的受教育程度较低,从事非熟练劳动力的工作更为常见。与对照组相比,病例的家庭年收入较低。年龄、性别、种族、教育和职业与 GC 风险增加相关。调整年龄、性别和种族的教育模型发现,与高中学历(HS)相比,未完成 HS 教育的 OR 为 3.18(95%CI 1.09-9.25)。职业模型表明,与专业职业相比,从事非熟练劳动的就业 OR 为 4.32(95%CI 1.05-17.76)。与收入(117.562)或职业(117.032)相比,教育模型的拟合度最佳(AIC:113.583,AIC 越低越好)。与职业(4.0%)或收入(3.8%)相比,教育对模型变异性的贡献最大(%Delta 伪 R 平方(4.7%))。
在 3 个 SES 变量中,教育水平是 GC 风险的唯一最可靠指标,当无法获得多个 SES 因素时,可以将其用作 SES 相关 GC 风险的理想单一指标。