Abstract P1-17-02: Relationship of lifestyle habits to quality of life of recently diagnosed breast cancer between younger and older women in China
Authors: Chao Zheng, Liyuan Liu, Shude Cui, Fuguo Tian, Zhimin Fan, Cuizhi Geng, Xuchen Cao, Zhenlin Yang, Xiang Wang, Hong Liang, Shu Wang, Hongchuan Jiang, Xuening Duan, Haibo Wang, Guolou Li, Qitang Wang, Jianguo Zhang, Feng Jin, Jinhai Tang, Liang Li, Shiguang Zhu, Wenshu Zuo, Fei Wang, Lixiang Yu, Fei Zhou, Yujuan Xiang, Mingming Guo, Yongjiu Wang, Shuya Huang, Zhongbing Ma, Liang Li, Dezong Gao, Qiang Zhang, Qinye Fu, Zhigang Yu
Journal: Cancer Research (2020)

Abstract Background: Breast cancer is the most common cancer among women in China. Hence, how best to live with and improve the quality of life (QOL) of this growing population of women is thus becoming of great public health importance. The aim of the study was to evaluate the relationship of lifestyle habits to QOL among younger and older women who were initially diagnosed with breast cancer within the first two weeks, determine the contribution of lifestyle habits factors on QOL. Methods: A multi-center, hospital-based, case control study was conducted among breast cancer women from 21 hospitals in 11 provinces or municipalities in northern and eastern China from April 2012 to April 2013. The Functional Assessment of Cancer Therapy-Breast Cancer (FACT-B) simplified Chinese version 4 was used to measure QOL. Chi-square test, t-test and Generalized Linear Models were conducted to verify differences in QOL between two groups and to evaluate the contribution of lifestyle habits factors (including smoking, passive smoking, alcohol intake, Tea, Coffee, Sleep satisfaction, Current life satisfaction, Physical activity, BMI) on QOL of breast cancer patients. Results: 1199 eligible breast cancer patients were used for analysis as appropriate. Younger women (age &amp;lt;50 years) at diagnosis of breast cancer appeared to be related to lower scores than older women (age ≥50 years) in QOL subscales including emotional well being (p=0.003), functional well being (p=0.006), breast cancer subscale (p=0.038), and FACT-B Total scores (p=0.028). The relationships of the 9 lifestyle habit items to QOL were different between younger and older women. Firstly, very satisfied to sleep satisfaction and current life satisfaction at diagnosis were associated with higher scores in all the women with breast cancer. Secondly, tea (p=0.009) and alcohol drinking (p=0.001) women showed a significantly higher score in younger age group, while drink coffee (p=0.009) showed a significantly lower score in older age group. Thirdly, compare to the younger age group, often participate in physical activities in older age group was associated with higher QOL overall (p=0.002). And smoking showed worse QOL in the older age group (p=0.045). No other significant items of lifestyle habits were observed associated with FACT-B Total scores. Generalized Linear Models were estimated for the total FACT-B score to identify characteristics that were most strongly associated with these QOL scores. Conclusion: Younger patients (&amp;lt;50 years) showed significantly lower QOL than older patients (≥50 years). Tea and alcohol drinking, very satisfied to sleep satisfaction and current life satisfaction were the strongest predictors of higher QOL in China women when diagnosed with breast cancer at younger age. Meanwhile, no coffee, often participate in physical activities and very satisfied to sleep satisfaction and current life satisfaction were the key predictors of higher QOL in older breast cancer women. Focusing on those predictors may present an especially worthwhile endeavor to enhance the long-term breast cancer survivors’ QOL. The mean scores of the FACT-B Total between two age groupsVariable&amp;lt;50≥50Scores(mean)PScores(mean)PCigarette smoking0.0500.045Yes91.10±17.02977.67±15.080No83.80±16.41885.79±16.894Passive smoking0.0580.722Yes82.59±16.53185.61±16.851No85.67±17.57786.43±18.928Alcohol drinking0.0010.662Yes89.06±19.72986.23±17.958No83.26±15.82085.17±16.834Tea0.0090.053Yes87.22±16.17888.31±18.895No83.21±16.51084.55±16.447Coffee0.0970.009Yes88.81±18.54175.50±10.081No83.77±16.44485.70±17.150Sleep satisfaction0.0010.012Very satisfied89.63±17.63389.69±18.659Satisfied82.67±15.89483.68±15.668Dissatisfied84.89±16.87888.15±18.804Current life satisfaction&amp;lt;0.001&amp;lt;0.001Very satisfied89.10±19.50593.05±20.578Satisfied84.75±15.73586.57±16.390Dissatisfied79.24±15.84077.41±14.562Physical activity0.0550.002Often83.93±17.14589.51±19.928Occasionally85.53±17.02384.97±16.064Never82.01±14.88782.36±14.589BMI (kg/m2) 0.1370.239&amp;lt;24.084.73±16.41785.97±17.51624.0-28.082.25±15.85984.52±15.862&amp;gt;28.084.82±17.04588.41±17.180 Generalized Linear Models ResultsVariableBS.E.95% C.I.walddfPLowerUpper&amp;lt;50Alcohol drinking6.0301.78432.5339.52711.42310.001Tea3.5241.52180.5416.5075.36310.021Very satisfied to Sleep satisfaction4.6042.26340.1689.0404.13710.042Very satisfied to Current life satisfaction9.3762.24594.97413.77817.4291&amp;lt;0.001≥50Coffee-9.4623.6877-16.609-2.2346.58310.010Often participate in physical activities7.1161.97803.23910.99312.9431&amp;lt;0.001Very satisfied to Sleep satisfaction4.0951.96180.2507.9404.35810.037Very satisfied to Current life satisfaction15.4383.26238.95421.74222.1341&amp;lt;0.001 Citation Format: Chao Zheng, Liyuan Liu, Shude Cui, Fuguo Tian, Zhimin Fan, Cuizhi Geng, Xuchen Cao, Zhenlin Yang, Xiang Wang, Hong Liang, Shu Wang, Hongchuan Jiang, Xuening Duan, Haibo Wang, Guolou Li, Qitang Wang, Jianguo Zhang, Feng Jin, Jinhai Tang, Liang Li, Shiguang Zhu, Wenshu Zuo, Fei Wang, Lixiang Yu, Fei Zhou, Yujuan Xiang, Mingming Guo, Yongjiu Wang, Shuya Huang, Zhongbing Ma, Liang Li, Dezong Gao, Qiang Zhang, Qinye Fu, Zhigang Yu. Relationship of lifestyle habits to quality of life of recently diagnosed breast cancer between younger and older women in China [abstract]. In: Proceedings of the 2019 San Antonio Breast Cancer Symposium; 2019 Dec 10-14; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2020;80(4 Suppl):Abstract nr P1-17-02.