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Edward H. Ip, Santiago Saldana, Grisel Trejo, Sarah A. Marshall, Cynthia K. Suerken, Wei Lang, Thomas A. Arcury and Sara A. Quandt

Background:

Obesity disproportionately affects children of Latino farmworkers. Further research is needed to identify patterns of physical activity (PA) in this group and understand how PA affects Body Mass Index (BMI) percentile.

Methods:

Two hundred and forty-four participants ages 2.5 to 3.5 in the Niños Sanos longitudinal study wore accelerometers that measured daily PA. Several PA-related parameters formed a profile for conducting hidden Markov modeling (HMM), which identified different states of PA.

Results:

Latino farmworker children were generally sedentary. Two different states were selected using HMM—less active and more active. In the more active state; members spent more minutes in moderate-vigorous physical activity (MVPA). Most children were in the less active state at any given time; however, switching between states occurred commonly. One variable—mother’s concern regarding lack of PA—was a marginally significant predictor of membership in the more active state. State did not predict BMI or weight percentile after adjusting for caloric intake.

Conclusion:

Most children demonstrated high amounts of sedentary behavior, and rates of MVPA fell far below recommended levels for both states. The lack of statistically significant results for risk factors and PA state on weight-related outcomes is likely due to the homogeneous behaviors of the children.

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Meredith C. Peddie, Matthew Reeves, Millie K. Keown, Tracy L. Perry and C. Murray Skeaff

breaks of the appropriate intensity could be challenging in free-living studies as currently it would appear that the optimal intensity sits somewhere between the established cut-offs for light and moderate intensity activity identified for accelerometer data ( Freedson, Melanson, & Sirard, 1998

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Chelsea Steel, Carolina Bejarano and Jordan A. Carlson

Concurrent use of multiple person-worn sensors, such as combining data from Global Positioning Systems (GPS) trackers and accelerometers, is becoming more common in field-based physical activity research. The use of GPS trackers combined with accelerometers has been particularly useful in the

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Sarah G. Sanders, Elizabeth Yakes Jimenez, Natalie H. Cole, Alena Kuhlemeier, Grace L. McCauley, M. Lee Van Horn and Alberta S. Kong

accelerometers are commonly used to measure activity amount and intensity in epidemiological studies. When measured by self-report, a large percentage of adolescents fail to meet activity recommendations: Only 27.1% high school students nationwide reported at least 60 minutes per day of moderate to vigorous

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Anna Pulakka, Eric J. Shiroma, Tamara B. Harris, Jaana Pentti, Jussi Vahtera and Sari Stenholm

Wearing the accelerometer on the (non-dominant) wrist is gaining popularity as an alternative to hip placement ( Doherty et al., 2017 ; Schrack et al., 2016 ; Troiano, McClain, Brychta, & Chen, 2014 ). Wrist-worn accelerometers have been shown to be valid in estimating physical activity energy

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Reed D. Gurchiek, Hasthika S. Rupasinghe Arachchige Don, Lasanthi C. R. Pelawa Watagoda, Ryan S. McGinnis, Herman van Werkhoven, Alan R. Needle, Jeffrey M. McBride and Alan T. Arnholt

than 3 m/s, and it is unknown how a similar approach might perform for sprinting. Thus, in this study, we investigated the concurrent validity of estimating v 0 and τ using an automated ML approach and wearable accelerometer data. An accelerometer-only method was pursued because removing the

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Kosuke Tamura, Jeffrey S. Wilson, Robin C. Puett, David B. Klenosky, William A. Harper and Philip J. Troped

accelerometers and global positioning system (GPS) units can be used to quantify PA occurring on trails and thereby provide a better understanding of how community trails can support regular PA. 23 , 24 To date, researchers have concurrently used these devices to objectively assess how much PA occurs at home

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Katja Krustrup Pedersen, Esben Lykke Skovgaard, Ryan Larsen, Mikkel Stengaard, Søren Sørensen and Kristian Overgaard

Accelerometry is a widely used method for assessing quantity and quality of physical activity (PA), which is essential in all PA research ( Troiano, McClain, Brychta, & Chen, 2014 ). One of the more commonly used accelerometers in PA research is the ActiGraph, and this device has most frequently

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Gregory Knell, Deborah Salvo, Kerem Shuval, Casey Durand, Harold W. Kohl III and Kelley P. Gabriel

provided accelerometers to participants by mail. Postal service administration of data collection materials can reduce costs, participant burden, and logistic challenges associated with in-person data collection, yet it necessitates allocation of other resources to optimize protocol compliance and data

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Xihe Zhu and Justin A. Haegele

Wearable devices such as accelerometers and pedometers are commonly used in research to measure physical activity ( Cain, Sallis, Conway, Van Dyck, & Calhoon, 2013 ). One concern with using wearable devices is reactivity, which refers to the phenomenon in which research participants alter their