PURPOSE: Sedentary behavior has been previously shown, in a cross-sectional study, to have deleterious associations with biomarkers of postmenopausal breast cancer risk. We examined the associations of change in sedentary behavior [daily television (TV) viewing time, h/day] over a 5-year period with putative markers of postmenopausal breast cancer risk. METHODS: The analytic cohort consisted of 1,001 postmenopausal women from the Australian Diabetes, Obesity and Lifestyle (AusDiab) study (1999-2005). Multivariate linear regression models were used to examine associations of change in TV viewing time with biomarkers of the following risk mechanisms: adiposity (body mass index [BMI], waist circumference); metabolic dysfunction (fasting plasma glucose, 2-h plasma glucose, fasting insulin, insulin resistance [homeostasis model assessment of insulin resistance (HOMA-IR)]); and inflammation (high-sensitivity C-reactive protein (hs-CRP)). All analyses were adjusted for age, baseline TV viewing, and potential confounders. RESULTS: Hourly increments of change in TV viewing time were positively associated with BMI (β = 0.50, 95% CI 0.20, 0.81; p = 0.001), waist circumference (β = 1.18, 95% CI 0.49, 1.87; p = 0.001), fasting insulin (β = 38.13%, 95% CI 37.08, 39.20; p = 0.01) and HOMA-IR (β = 37.93%, 95% CI 36.92, 38.98; p = 0.03) in fully adjusted models. Significant associations with BMI, waist circumference, fasting insulin and HOMA-IR were also present in analyses using categories of change in TV viewing time (reduced, same, increased). CONCLUSIONS: The findings suggest that increasing habitual sedentary behavior over time could increase breast cancer risk among postmenopausal women. Further investigation into the role of sedentary behavior in breast cancer etiology is warranted.
PURPOSE: Sedentary behavior has been previously shown, in a cross-sectional study, to have deleterious associations with biomarkers of postmenopausal breast cancer risk. We examined the associations of change in sedentary behavior [daily television (TV) viewing time, h/day] over a 5-year period with putative markers of postmenopausal breast cancer risk. METHODS: The analytic cohort consisted of 1,001 postmenopausal women from the Australian Diabetes, Obesity and Lifestyle (AusDiab) study (1999-2005). Multivariate linear regression models were used to examine associations of change in TV viewing time with biomarkers of the following risk mechanisms: adiposity (body mass index [BMI], waist circumference); metabolic dysfunction (fasting plasma glucose, 2-h plasma glucose, fasting insulin, insulin resistance [homeostasis model assessment of insulin resistance (HOMA-IR)]); and inflammation (high-sensitivity C-reactive protein (hs-CRP)). All analyses were adjusted for age, baseline TV viewing, and potential confounders. RESULTS: Hourly increments of change in TV viewing time were positively associated with BMI (β = 0.50, 95% CI 0.20, 0.81; p = 0.001), waist circumference (β = 1.18, 95% CI 0.49, 1.87; p = 0.001), fasting insulin (β = 38.13%, 95% CI 37.08, 39.20; p = 0.01) and HOMA-IR (β = 37.93%, 95% CI 36.92, 38.98; p = 0.03) in fully adjusted models. Significant associations with BMI, waist circumference, fasting insulin and HOMA-IR were also present in analyses using categories of change in TV viewing time (reduced, same, increased). CONCLUSIONS: The findings suggest that increasing habitual sedentary behavior over time could increase breast cancer risk among postmenopausal women. Further investigation into the role of sedentary behavior in breast cancer etiology is warranted.
Authors: Sarah J O Nomura; Chiranjeev Dash; Lynn Rosenberg; Julie Palmer; Lucile L Adams-Campbell Journal: Cancer Causes Control Date: 2016-09-08 Impact factor: 2.506
Authors: Sarah K Keadle; David E Conroy; Matthew P Buman; David W Dunstan; Charles E Matthews Journal: Med Sci Sports Exerc Date: 2017-08 Impact factor: 5.411
Authors: Sarah J O Nomura; Chiranjeev Dash; Vanessa B Sheppard; Deborah Bowen; Matthew Allison; Wendy Barrington; Rowan Chlebowski; Mace Coday; Lifang Hou; Barbara Howard; Michael LaMonte; JoAnn E Manson; Marian L Neuhouser; Electra Paskett; Maryam Sattari; Marcia Stefanick; Jean Wactawski-Wende; Lucile L Adams-Campbell Journal: Cancer Causes Control Date: 2017-10-03 Impact factor: 2.506
Authors: Jeanette M Garcia; Andrea T Duran; Joseph E Schwartz; John N Booth; Steven P Hooker; Joshua Z Willey; Ying Kuen Cheung; Chorong Park; Stephen K Williams; Mario Sims; Daichi Shimbo; Keith M Diaz Journal: J Am Heart Assoc Date: 2019-06-26 Impact factor: 5.501
Authors: Christine M Friedenreich; Sarah MacLaughlin; Heather K Neilson; Frank Z Stanczyk; Yutaka Yasui; Aalo Duha; Brigid M Lynch; Ciara Kallal; Kerry S Courneya Journal: BMC Cancer Date: 2014-12-06 Impact factor: 4.430