Department of Oncology, Georgetown University School of Medicine, Washington, District of Columbia.
Department of Pharmaceutical Health Services Research, University of Maryland School of Pharmacy, Baltimore, Maryland.
Am J Prev Med. 2019 Mar;56(3):e85-e94. doi: 10.1016/j.amepre.2018.10.014. Epub 2019 Jan 15.
In the U.S., limited epidemiologic studies have investigated associations between BMI and physical inactivity and Pap test use among Asian women. The aim was to disentangle associations using data from the Behavioral Risk Factor Surveillance System between 2014 and 2016.
In the Behavioral Risk Factor Surveillance System, BMI was categorized into four levels (<18.5, 18.5 to <25, 25 to <30, and ≥30) and inactivity was defined as having no physical activity in addition to the individual's regular job during the past month. Analyses were conducted in June 2018. Weighted percentages of covariates were used to descriptively summarize the data. Multivariable logistic regression corrected for sampling weight was used to estimate associations between BMI and inactivity and Pap test use. Subgroup analysis was conducted by income and education.
The analysis included 9,424 women and 59.6% of them had their last Pap test within 3 years. OR in the mutually adjusted model suggested underweight (BMI <18.5 compared with normal weight) was inversely associated with Pap test use within the last 3 years (OR=0.56, 95% CI=0.36, 0.88). Inactivity (compared with activity) was not associated with Pap test use within the last 3 years (OR=0.80, 95% CI=0.60, 1.06). Different association patterns of BMI and inactivity were observed by education.
This study suggests that being underweight, rather than overweight or obesity, is associated with a lower rate of Pap test use in U.S. Asian women. Health interventions to facilitate Pap test use in Asian women should explore other potential targets, not aiming to just prevent obesity or change physical inactivity.
在美国,有限的流行病学研究调查了 BMI 和身体活动不足与亚洲女性巴氏试验使用之间的关联。本研究旨在使用 2014 年至 2016 年期间行为风险因素监测系统的数据来解开这些关联。
在行为风险因素监测系统中,BMI 分为四个水平(<18.5、18.5-<25、25-<30 和 ≥30),不活动被定义为除了个体在过去一个月中的常规工作之外没有任何体力活动。分析于 2018 年 6 月进行。使用加权百分比的协变量来描述性地总结数据。使用多变量逻辑回归校正抽样权重来估计 BMI 和不活动与巴氏试验使用之间的关联。按收入和教育进行亚组分析。
该分析包括 9424 名女性,其中 59.6%的人在过去 3 年内进行了最后一次巴氏试验。在相互调整的模型中,OR 表明体重过轻(BMI<18.5 与正常体重相比)与过去 3 年内的巴氏试验使用呈负相关(OR=0.56,95%CI=0.36,0.88)。不活动(与活动相比)与过去 3 年内的巴氏试验使用无关(OR=0.80,95%CI=0.60,1.06)。BMI 和不活动的关联模式在教育程度上有所不同。
本研究表明,在美国的亚裔女性中,体重过轻,而不是超重或肥胖,与巴氏试验使用率较低相关。促进亚裔女性巴氏试验使用的健康干预措施应探索其他潜在目标,而不是仅仅旨在预防肥胖或改变身体不活动。