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Objectively Measured Sedentary Time and its Association With Physical Function in Older Adults

Mark G. Davis, Kenneth R. Fox, Afroditi Stathi, Tanya Trayers, Janice L. Thompson, and Ashley R. Cooper

The relationship of objectively measured sedentary time (ST), frequency of breaks in ST, and lower extremity function (LEF) was investigated in a diverse sample aged ≥ 70 years (n = 217). Physical activity (PA) was assessed by accelerometry deriving moderate-vigorous PA (MVPA) minutes per registered hour (MVPA min · hr−1), registered ST (ST min · hr−1), and breaks in ST min · hr−1 (breaks · hr−1). LEF was assessed by the Short Physical Performance Battery. Univariate associations with overall LEF were MVPA (r = .523), ST (r = −.499), and breaks (r = .389). Adjusted linear regression including MVPA min · hr−1, ST min · hr−1, and breaks · hr−1 explained 41.5% of LEF variance. Each additional break · hr−1 was associated with 0.58 point increase in LEF. Breaks and MVPA had strongest independent associations with LEF. Promoting regular breaks might be useful in maintaining or increasing LEF and later life independence. This novel finding is important for the design of effective lifestyle interventions targeting older adults.

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Comparing the Actical and ActiGraph Approach to Measuring Young Children’s Physical Activity Levels and Sedentary Time

Leigh M. Vanderloo, Natascja A. Di Cristofaro, Nicole A. Proudfoot, Patricia Tucker, and Brian W. Timmons

Young children’s activity and sedentary time were simultaneously measured via the Actical method (i.e., Actical accelerometer and specific cut-points) and the ActiGraph method (i.e., ActiGraph accelerometer and specific cut-points) at both 15-s and 60-s epochs to explore possible differences between these 2 measurement approaches. For 7 consecutive days, participants (n = 23) wore both the Actical and ActiGraph side-by-side on an elastic neoprene belt. Device-specific cut-points were applied. Paired sample t tests were conducted to determine the differences in participants’ daily average activity levels and sedentary time (min/h) measured by the 2 devices at 15-s and 60-s time sampling intervals. Bland-Altman plots were used to examine agreement between Actical and ActiGraph accelerometers. Regardless of epoch length, Actical accelerometers reported significantly higher rates of sedentary time (15 s: 42.7 min/h vs 33.5 min/h; 60 s: 39.4 min/h vs 27.1 min/h). ActiGraph accelerometers captured significantly higher rates of moderate-to-vigorous physical activity (15 s: 9.2 min/h vs 2.6 min/h; 60 s: 8.0 min/h vs 1.27 min/h) and total physical activity (15 s: 31.7 min/h vs 22.3 min/h; 60 s: = 39.4 min/h vs 25.2 min/h) in comparison with Actical accelerometers. These results highlight the present accelerometry-related issues with interpretation of datasets derived from different monitors.

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Epidemiological Transition in Physical Activity and Sedentary Time in Children

Tiago V. Barreira, Stephanie T. Broyles, Catrine Tudor-Locke, Jean-Philippe Chaput, Mikael Fogelholm, Gang Hu, Rebecca Kuriyan, Estelle V. Lambert, Carol A. Maher, José A. Maia, Timothy Olds, Vincent Onywera, Olga L. Sarmiento, Martyn Standage, Mark S. Tremblay, Peter T. Katzmarzyk, and for the ISCOLE Research Group*

(particularly MVPA) and sedentary time can be associated with household income, and this relationship may differ by a country’s level of human development. Some studies have documented associations between family SES and physical activity among children, 12 but the majority of those studies used questionnaire

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Sedentary Time in Male and Female Masters and Recreational Athletes Aged 55 and Older

Heather McCracken and Shilpa Dogra

Sedentary time, that is, any activity conducted in a seated or reclined posture that requires low energy expenditure ( Sedentary Behaviour Research Network, 2012 ), is emerging as an important determinant of health among adults ( Owen et al., 2011 ) and older adults ( Dogra & Stathokostas, 2012

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Physical Activity Intervention Effects on Sedentary Time in Spanish-Speaking Latinas

Sheri J. Hartman, Dori Pekmezi, Shira I. Dunsiger, and Bess H. Marcus

as cardiovascular events. 2 – 5 While many of these studies relied on self-report data (eg, time spent sitting, watching TV, etc), objectively measured sedentary time (<100 accelerometer counts per minute) has also been positively correlated with waist circumference, 2-hour glucose, and carotid

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Comparison of Sedentary Time Between Thigh-Worn and Wrist-Worn Accelerometers

Kristin Suorsa, Anna Pulakka, Tuija Leskinen, Jaana Pentti, Andreas Holtermann, Olli J. Heinonen, Juha Sunikka, Jussi Vahtera, and Sari Stenholm

Sedentary behavior refers to waking behavior while sitting, reclining, or lying down with energy expenditure no more than 1.5 metabolic units (METs) ( Tremblay et al., 2017 ). Daily sedentary time during waking hours has been estimated to be considerable, 7.7 to 9.4 hr among adults in Western

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Correlates of Sedentary Time Among Children and Adolescents in Ethiopia: A Cross-Sectional Study

Sibhatu Biadgilign, Tennyson Mgutshini, Bereket Gebremichael, Demewoz Haile, Lioul Berhanu, Stanley Chitekwe, and Peter Memiah

positive association between sedentary time of spending ≥3 hours a day sitting and overweight/obesity ( 29 ). A recent study in Urban Sharkia Governorate, Egypt, reported a substantial association between obesity and longer duration of watching television per day and eating while watching television ( 44

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Longitudinal Changes of Physical Activity and Sedentary Time in the Middle-Aged and Older Japanese Population: The Hisayama Study

Koji Yonemoto, Takanori Honda, Hiro Kishimoto, Daigo Yoshida, Jun Hata, Naoko Mukai, Mao Shibata, Yoichiro Hirakawa, Toshiharu Ninomiya, and Shuzo Kumagai

Physical inactivity is an established risk factor for noncommunicable diseases and the fourth leading cause of death worldwide. 1 – 3 In recent years, a systematic review and meta-analysis showed that sedentary time is an independent risk factor for type 2 diabetes, cardiovascular disease, and

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Replacing Sedentary Time With Light or Moderate–Vigorous Physical Activity Across Levels of Frailty

Judith Godin, Joanna M. Blodgett, Kenneth Rockwood, and Olga Theou

weight gain, whereas 30 min of brisk walking that replaced slow walking or TV watching was associated with weight loss ( Mekary, Willett, Hu, & Ding, 2009 ). Here, we examined sedentary time as the target behavior to be replaced because of the three activity levels we considered (i.e., sedentary, light

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Patterns of Sedentary Time in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) Youth

Carolina M. Bejarano, Linda C. Gallo, Sheila F. Castañeda, Melawhy L. Garcia, Daniela Sotres-Alvarez, Krista M. Perreira, Carmen R. Isasi, Martha Daviglus, Linda Van Horn, Alan M. Delamater, Kimberly L. Savin, Jianwen Cai, and Jordan A. Carlson

Evidence suggests that sedentary time is related to poor physical and psychosocial health outcomes, such as poor cardiometabolic health and depressive symptoms in youth. 1 – 5 Furthermore, health behaviors established during childhood or adolescence, such as sedentary time and physical activity