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Stephanie M. George, Catherine M. Alfano, Ashley Wilder Smith, Melinda L. Irwin, Anne McTiernan, Leslie Bernstein, Kathy B. Baumgartner and Rachel Ballard-Barbash

Background:

Many cancer survivors experience declines in health-related quality of life (HRQOL) and increases in fatigue as a result of cancer and its treatment. Exercise is linked to improvements in these outcomes, but little is known about the role of sedentary behavior. In a large, ethnically-diverse cohort of breast cancer survivors, we examined the relationship between sedentary time, HRQOL, and fatigue, and examined if that relationship differed by recreational moderate-vigorous physical activity (MVPA) level.

Methods:

Participants were 710 women diagnosed with stage 0-IIIA breast cancer in the Health, Eating, Activity, and Lifestyle Study. Women completed questionnaires at approximately 30-months postdiagnosis (sedentary time; recreational MVPA) and 41-months postdiagnosis (HRQOL; fatigue). In multivariate models, we regressed these outcomes linearly on quartiles of daily sedentary time, and a variable jointly reflecting sedentary time quartiles and MVPA categories (0; >0 to <9; ≥9 MET-hrs/wk).

Results:

Sedentary time was not independently related to subscales or summary scores of HRQOL or fatigue. In addition, comparisons of women with high vs. low (Q4:Q1) sedentary time by MVPA level did not result in significant differences in HRQOL or fatigue.

Conclusion:

In this breast cancer survivor cohort, self-reported sedentary time was not associated with HRQOL or fatigue, 3.5 years postdiagnosis.

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Amy A. Eyler, Aaron Hipp, Cheryl Ann Valko, Ramya Ramadas and Marissa Zwald

time and include supports for physical and mental health, as well as active living 12 and decreased sedentary time. 11 As it is estimated that Americans spend about 90% of their time indoors, 13 designing buildings in ways that enhance health and provide opportunities for PA should be considered

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Margina Ruiter, Charly Eielts, Sofie Loyens and Fred Paas

). 2 – 6 In light of the negative consequences of inactivity and sedentary behavior on physical health, there is increasing interest in exploring methods to reduce sedentary time in children. 6 , 7 The classroom, where children spend no less than 6 to 8 hours in seated academic instruction per day, 8

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Rhona Martin-Smith, Duncan S. Buchan, Julien S. Baker, Mhairi J. Macdonald, Nicholas F. Sculthorpe, Chris Easton, Allan Knox and Fergal M. Grace

, it is well known that school-aged children and adolescents can accumulate a substantial amount of sedentary time during school hours ( 20 , 28 ), with findings from Scotland estimating that 3.8 to 5.6 hours per day are spent being sedentary ( 42 ). Therefore, given this decline in PA levels among

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Kenneth E. Powell, Abby C. King, David M. Buchner, Wayne W. Campbell, Loretta DiPietro, Kirk I. Erickson, Charles H. Hillman, John M. Jakicic, Kathleen F. Janz, Peter T. Katzmarzyk, William E. Kraus, Richard F. Macko, David X. Marquez, Anne McTiernan, Russell R. Pate, Linda S. Pescatello and Melicia C. Whitt-Glover

 al. 31 TV indicates television. Sedentary time, light physical activity, and MVPA interact within a finite, 24-hour day. A heat map developed by the 2018 PAGAC committee depicts the risk of all-cause mortality associated with various combinations of sitting time (in hours) and MVPA (in minutes) (Figure

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Aline Mendes Gerage, Tânia Rosane Bertoldo Benedetti, Raphael Mendes Ritti-Dias, Ana Célia Oliveira dos Santos, Bruna Cadengue Coêlho de Souza and Fábio Araujo Almeida

during the study. Only 23 VAMOS participants and 26 CG participants had validated accelerometer data at preintervention and postintervention. Table 3 Sedentary Time and Physical Activity of Both Groups at Preintervention and Postintervention   VAMOS (n = 23) CG (n = 26) Effects Group Time Interaction SED

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Salih A. Salih, Nancye M. Peel, Di Enright and Wendy Marshall

capacity to perform. This relationship between MBI and walking time in the community has not been reported before. Promoting PA and aiming to achieve a clinically meaningful improvement in PA level in older persons has been shown to be challenging, as it requires changing behavior to reduce sedentary time

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Salomé Aubert, Julien Aucouturier, Jeremy Vanhelst, Alicia Fillon, Pauline Genin, Caroline Ganière, Corinne Praznoczy, Benjamin Larras, Julien Schipman, Martine Duclos and David Thivel

Despite concerted efforts to promote physical activity and the development of strategies to reduce sedentary time, scientific data continue to reveal insufficient levels of physical activity 1 – 5 and increasing time devoted to sedentary behaviors 1 , 4 , 6 – 8 among children and youth

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Abigail L. Gilbert, Jungwha Lee, Madeleine Ma, Pamela A. Semanik, Loretta DiPietro, Dorothy D. Dunlop and Rowland W. Chang

Background:

Sedentary behavior is associated with increased risk of functional decline and disability. Individuals with rheumatoid arthritis (RA) spend more time sedentary than healthy adults. Self-reported assessment of sedentary behavior has not been well-developed in this patient population.

Methods:

172 adults with RA wore an accelerometer for 7 days and completed a modified version of the Yale Physical Activity Survey (YPAS). YPAS-derived sedentary estimates included 1) daily sitting categories (<3, 3 to 6, 6 to 8, >8 hours/day), 2) continuous daily sedentary time calculated by subtracting hours spent sleeping or in physical activity from a 24-hour day, and 3) rank order of YPAS-derived continuous daily sedentary time. Each estimate was compared with objective accelerometer-derived sedentary time using linear regression and Bland-Altman analysis.

Results:

A significant relationship was observed between accelerometer-derived sedentary time and all 3 estimates. Bland-Altman plot demonstrated systematic bias, however Bland-Altman plot of rank-order demonstrated that the ranked YPAS-derived continuous estimate was an unbiased predictor of ranked accelerometer sedentary time though limits of agreement were wide.

Conclusions:

This patient-reported approach using the YPAS shows promise to be a useful tool to identify the most sedentary patients. Providing a practical and accurate tool may increase the frequency sedentary behavior is assessed by clinicians.

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Valerie Carson, Michelle Stone and Guy Faulkner

To make robust conclusions regarding the association between accelerometer-measured sedentary time and overweight and obesity among children, several gaps in the literature must be addressed. The purpose of this study was to examine associations between sedentary time, weekday sedentary time, weekend sedentary time, sedentary bouts, sedentary breaks, and BMI z-score among children and by low (bottom 50%) and high (top 50%) moderate- to vigorous-intensity physical activity (MVPA) participation. Results are based on 787 children aged 11 years living in Toronto, Canada. Children’s physical activity and sedentary time were objectively assessed using ActiGraph accelerometers in 2010/11. Height and weight were measured and BMI z-scores were calculated based on the World Health Organization growth standards. When participants were stratified into low and high MVPA groups, sedentary bouts of 5–9 (β = 0.22 [95% CI: 0.01, 0.43]) and 10–19 (0.30 [−0.05, 0.55]) minutes for total days were associated with BMI z-score in the low MVPA group only. Similar trends were observed with the weekday but not the weekend variables. Therefore, in addition to increasing MVPA, reducing time spent in 5- to 19-min sedentary bouts may have important implications for weight status particularly for children with lower MVPA participation during the week.