PDF(Pubmed)
Abstract：
The purpose of this cross-sectional study was to investigate the relationship between Body Mass Index (BMI), cholesterol, and cancer in United States (US) adults. Data were collected from the 2020 Medical Expenditure Panel Survey (MEPS). Eligible participants were US adults (≥18 years) with data on BMI, cholesterol, and cancer status, who were alive at the end of the data collection period. An adjusted logistic regression model assessed associations between eight possible combinations of BMI and cholesterol status (independent variable) with cancer diagnosis (dependent variable). Among 27,805 individuals in the 2020 MEPS data, 20,818 met the eligibility criteria (weighted N = 252,340,615). Of these 2668 (weighted N = 29,770,359) had cancer and 18,150 (weighted N = 222,570,256) did not have cancer. In the adjusted logistic regression model, underweight and normal weight individuals with high cholesterol were associated with higher odds of cancer (odds ratio, OR = 2.002, and 95% confidence interval, CI = 1.032-3.885, and OR = 1.326 and 95% CI = 1.047-1.681, respectively), while obese individuals with normal cholesterol were associated with lower odds of cancer (OR = 0.681; 95% CI = 0.543-0.853) compared to normal weight individuals with normal cholesterol. This study offers insights into specific groups of individuals who may be prioritized for cancer prevention. Further research is required to investigate these findings in additional subpopulations.
摘要：
这项横断面研究的目的是调查身体质量指数（BMI），胆固醇,和美国（US）成年人的癌症。数据来自2020年医疗支出小组调查(MEPS)。符合条件的参与者是美国成年人（≥18岁），有BMI数据，胆固醇,和癌症状态，在数据收集期结束时还活着。调整后的逻辑回归模型评估了BMI和胆固醇状态（自变量）的八种可能组合与癌症诊断（因变量）之间的关联。在2020年MEPS数据中的27805个人中，20,818符合资格标准（加权N=252,340,615）。其中2668（加权N=29,770,359）患有癌症，18,150（加权N=222,570,256）没有癌症。在调整后的逻辑回归模型中，体重过轻和体重正常的高胆固醇个体与较高的癌症几率相关(比值比，OR=2.002，95%置信区间，CI=1.032-3.885，OR=1.326和95%CI分别=1.047-1.681），而与胆固醇正常的体重正常的个体相比,胆固醇正常的肥胖个体患癌症的几率较低(OR=0.681;95%CI=0.543~0.853).这项研究提供了对可能优先预防癌症的特定人群的见解。需要进一步的研究来调查其他亚群中的这些发现。
