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The impact of breast cancer on physical activity from midlife to early older adulthood and predictors of change post-diagnosis

机译:乳腺癌对中草生体育活动的影响到诊断后老年人的早期成年和预测因子

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Purpose To examine physical activity (PA) patterns from pre- to post-diagnosis, and compare these changes to women without breast cancer. To determine pre-diagnosis predictors of PA change, post-diagnosis, in breast cancer survivors (BCS). Methods Data were from 2314 Study of Women's Health Across the Nation (SWAN) participants, average age of 46.4 +/- 2.7 years at baseline (1996-1997). In Pink SWAN, 151 women who reported an incident breast cancer diagnosis over 20 years were classified as BCS; the remaining 2163 women were controls. LOESS plots and linear mixed models were used to illustrate and compare PA changes (sports/exercise [primary measure] and total PA) from pre- to post-diagnosis (or corresponding period) in BCS versus controls. Adjusted linear regression models were used to determine pre-diagnosis predictors of at-risk post-diagnosis PA change patterns (consistently low and decreased PA). Results No differences in pre- to post-diagnosis PA (or corresponding period) were observed in BCS versus controls. Among BCS, the odds of at-risk post-diagnosis PA change patterns was 2.50 (95% CI 0.96-6.48) times higher for those who reported sleep problems at >= 50% (compared to 0%) of pre-diagnosis visits and 3.49 (95% CI 1.26-9.65) times higher for those who were overweight or obese at all (compared to no) pre-diagnosis visits. No other statistically significant predictors were noted. Conclusions Age-related declines in PA were not amplified by a breast cancer diagnosis. Given the beneficial role of PA across the cancer control continuum, efforts to increase or maintain adequate PA, post-diagnosis, should be continued.
机译:目的检查从诊断前后检查身体活动(PA)模式,并将这些变化与没有乳腺癌的妇女进行比较。确定乳腺癌幸存者(BCS)中PA变化,诊断后PA变化预测的预测因子。方法数据来自2314年对国家妇女健康的研究(天鹅)参与者,平均年龄在基线(1996-1997)。在粉红色的天鹅中,报告20年超过20年的事故乳腺癌诊断的151名妇女被归类为BCS;剩下的2163名妇女被控制。黄土地图和线性混合模型用于说明并比较PA变化(运动/运动[主要测量]和总PA)从BCS与控制的诊断后(或相应的时期)。调整后的线性回归模型用于确定诊断后诊断后诊断后PA变化模式的预测预测因子(始终如一的低和减少PA)。结果在BCS与对照中观察到诊断后PA(或相应期间)的差异。在BCS中,诊断后诊断后PA变化模式的几率为2.50(95%CI 0.96-6.48),对于那些报告睡眠问题> = 50%(与0%)的预诊断前访问和3.49(95%CI 1.26-9.65),对于那些超重或肥胖的人(与NO)预先诊断进行了较高的次数。没有注意到其他统计学上的预测因子。结论乳腺癌诊断不扩增PA的年龄相关的下降。鉴于PA对癌症控制连续体的有益作用,应继续努力增加或维持足够的PA,诊断后。

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