Predictors of pessimistic breast cancer risk perceptions in a primary care population
Predictors of pessimistic breast cancer risk perceptions in a primary care population
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DOI：
10.1111/j.1525-1497.2004.20801.x
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发表时间：
2004-04-01
影响因子：
5.7
通讯作者：
Nattinger, AB
中科院分区：
文献类型：
--
作者：
Davids, SL;Schapira, MM;Nattinger, AB
目的：确定与终生和5年乳腺癌风险感知准确性独立相关的社会人口学特征、计算水平和乳腺癌危险因素。设计：横断面调查。使用概率量表来测量终生和5年的风险感知。计算感知风险和Gail模型乳腺癌风险之间的绝对差异。建立线性回归模型预测终生和5年乳腺癌风险估计误差。环境：初级保健内科实践（N = 2）。参与者：254名40至85岁的女性。结果：平均寿命和5年计算乳腺癌风险分别为8.4% （SD[标准差]6.1）和1.5% （SD 1.3）。受试者终生和5年风险的平均估计误差分别为29.5% （SD 22.9）和24.8% （SD 23.9）。在多变量分析中，较低的计算分数（0.005）、较高的乳腺活检次数（0.016）和较高的一级亲属数量（0.054）预示着终生乳腺癌风险的估计误差较大。白人（0.014）、教育程度较低（0.009）、既往乳腺活检次数较多（0.008）和一级亲属数量较多（0.014）是5年风险估计误差较大的预测因素。结论：在初级保健人群中，乳腺癌危险因素可能比其他因素更一致地与终生和5年时间跨度内对乳腺癌风险的悲观看法相关。初级保健医生应该考虑就个体乳腺癌风险因素和风险随时间的变化向患者提供咨询。
OBJECTIVE: To identify sociodemographic characteristics, numeracy level, and breast cancer risk factors that are independently associated with the accuracy of lifetime and 5-year breast cancer risk perceptions.DESIGN: Cross-sectional survey. A probability scale was used to measure lifetime and 5-year risk perceptions. The absolute difference between perceived risk and the Gail model risk of breast cancer was calculated. Linear regression models were built to predict lifetime and 5-year breast cancer risk estimation error.SETTING: Primary care internal medicine practices (N = 2).PARTICIPANTS: Two hundred fifty-four women 40 to 85 years of age.RESULTS: The mean lifetime and 5-year calculated breast cancer risk was 8.4% (SD [standard deviation] 6.1) and 1.5% (SD 1.3), respectively. Subjects had a mean estimation error for lifetime and 5-year risk of 29.5% (SD 22.9) and 24.8% (SD 23.9), respectively. In multivariate analyses, lower numeracy scores (0.005), higher number of previous breast biopsies (0.016), and a higher number of first-degree relatives (0.054) were predictive of larger estimation error for lifetime breast cancer risk. White race (0.014), lower educational levels (0.009), higher number of previous breast biopsies (0.008), and higher number of first-degree relatives (0.014) were predictive of larger estimation error for 5-year risk.CONCLUSION: Among a primary care population, breast cancer risk factors may be more consistently associated with pessimistic perceptions of breast cancer risk than other factors studied during a lifetime and 5-year time span. Primary care physicians should consider counseling patients about individual breast cancer risk factors and risk over time.