Accelerometer Assessment of Children s Physical Activity Levels at Summer Camps

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Accelerometer Assessment of Children s Physical Activity Levels at Summer Camps Jessica L. Barrett, Angie L. Cradock, Rebekka M. Lee, Catherine M. Giles, Rosalie J. Malsberger, Steven L. Gortmaker Active Living Research Annual Conference March 12, 2014

Why summer camps? 14.3 million American children and youth attend summer day camps 1 for up to 10 hours/day for up to 12 weeks. Some summer camps are operated by school based afterschool programs Nationally and locally, afterschool programs have adopted standards for physical activity and healthy eating, 2,3 with some evidence of success. 4,5,6,7 Fitness gains and body weight reductions achieved from school based interventions may not be maintained during the summer months. 8,9

Physical Activity in Summer Camps Two assessments using systematic observation found that 20 25% 10 and 28% 11 of children were engaged in walking or vigorous activity at any time during camp hours. However, no known studies to date have assessed daily summer camp activity levels using accelerometers.

Objectives To assess baseline levels of physical activity via accelerometer among elementary school children attending summer camps. To inform adaptation of an evidence based afterschool obesity prevention program [Out of School Nutrition and Physical Activity (OSNAP) Initiative] to the summer camp setting. For more information about the OSNAP initiative, visit our website at: osnap.org

Methods Design: Cross sectional and repeated measures design Setting & Population: Children ages 5 12 attending 5 summer camps in Boston, Massachusetts. Measures: Children wore accelerometers (Actigraph GT3X/GT3X+, Pensacola, FL) for one week (5 days) in July or August 2013 during camp hours, except swimming periods. Data collectors visited camps each day to observe activities. Outcomes: Daily minutes of moderate, vigorous, and light physical activity and sedentary time, accumulated overall and occurring in bouts (modified 10 minute bouts).

Methods Data Reduction: Vertical axis intensity counts captured using the lowfrequency extension were converted into minutes spent in moderate & vigorous physical activity using the Freedson 12 age specific 1 minute cut points for children, at thresholds of 4 and 6 METs, respectively. A sedentary cut point of 100 counts/minute was used. 13 Analysis: Linear regression analysis was used to estimate differences in daily activity levels according to demographic characteristics and amount and types of physical activity provided in the camp setting. Adjusted for weather characteristics (temperature, dew point, and precipitation) and clustering of days within children and children within camps.

Characteristics of Participating Children At 5 Summer Camps in Boston, MA, July August 2013 (N=142) Characteristic N (%) Sex Male 76 (54%) Female 66 (46%) Race/Ethnicity White, non Hispanic 12 (8%) Black, non Hispanic 51 (36%) Hispanic/Latino 37 (26%) Multiracial/other/unknown 42 (30%) Age 5 6 years 21 (15%) 7 8 years 101 (71%) 9 10 years 12 (8%) 11 12 years 8 (6%)

Camp 2

Camp 3

Camp Practices Daily Minutes of Physical Activity Types Offered To Children at 5 Summer Camps in Boston, MA, July August 2013 240 Minutes per Day 210 180 150 120 90 60 30 0 Swimming Walking for Travel Outdoor Free Play Outdoor Structured Play Indoor Free Play Indoor Structured Play

Camp Practices Daily Proportion of Time Physical Activity Offered To Children at 5 Summer Camps in Boston, MA, July August 2013 100% 90% % Minutes per Day 80% 70% 60% 50% 40% 30% 20% 10% 0% 27% 24% 40% 17% 22% 34% Total Time in Other Activities Total Physical Activity Time

Child Behaviors Daily Minutes of Physical Activity Accumulated Overall By Children at 5 Summer Camps in Boston, MA, July August 2013 % Minutes per Day 100% 90% 80% 70% 60% 50% 40% 30% 20% 10% 0% 86 minutes MVPA per day overall Sedentary Light Physical Activity Moderate Physical Activity Vigorous Physical Activity *MVPA: Moderate to Vigorous Physical Activity

Child Behaviors Daily Minutes of Physical Activity Accumulated in Bouts By Children at 5 Summer Camps in Boston, MA, July August 2013 % Minutes per Day 100% 90% 80% 70% 60% 50% 40% 30% 20% 10% 0% 43 minutes MVPA per day in bouts Other Sedentary Sedentary Bouts Other Light Physical Activity Light Physical Activity Bouts Other MVPA MVPA Bouts *MVPA: Moderate to Vigorous Physical Activity

What Influences Child Activity Levels? Predictors of Daily Minutes Accumulated Overall in Activity Levels At 5 Summer Camps in Boston, MA, July August 2013 (N=585 Child Days) Moderate to Vigorous Physical Activity Vigorous Physical Activity Sedentary Characteristic Difference (SE) Difference (SE) Difference (SE) Female (vs. Male) 9.99 (4.73)* 1.88 (2.24) 1.12 (7.35) Age (years) 9.22 (1.82)*** 3.94 (0.87)*** 1.97 (2.85) Minutes of Physical Activity Offered Indoor Free Play 0.05 (0.05) 0.01 (0.02) 0.34 (0.11)** Indoor Structured Play 0.16 (0.05)** 0.04 (0.02) 0.30 (0.10)** Outdoor Free Play 0.20 (0.04)*** 0.05 (0.02)** 0.01 (0.08) Outdoor Structured Play 0.38 (0.08)*** 0.09 (0.03)* 0.46 (0.15)** Active Transport 0.45 (0.08)*** 0.09 (0.04)* 0.32 (0.16)* * p<.05 ** p<.01 *** p<.001 Models also adjusted for daily minutes of monitor wear, percent deviation from average annual temperature, precipitation, dew point, and nesting of days within students and students within camps.

Conclusions Elementary school children attending summer camps in Boston, Massachusetts achieved, on average, daily recommended levels of MVPA during camp hours. Males: 93.6 minutes/day; Females 76.6 minutes/day Similar to national estimates 14 of regular MVPA among 6 11 year old males (95.4) and females (75.2) Additional MVPA from swimming ~ 11 minutes/day. 39% of children achieved 60 or more MVPA minutes on all days present (range 11 79% by camp).

Conclusions Activity levels differed by camp, but not after controlling for weather Camp practices impacted children s activity levels Walking for Travel / Active Travel 15 minutes of active travel translated to 7 extra minutes of MVPA per day Outdoor & Structured Activities 30 minutes of outdoor structured play translated to 11 extra minutes of MVPA, While 30 minutes of outdoor free play only resulted in 6 extra MVPA minutes

Implications for Practice and Policy Summer day camps are active Targeted activities may help engage females and older children in physical activity In urban camps, the highest physical activity levels may be achieved when camps provide: Structured outdoor activity Opportunities to walk to and from destinations around the city In Boston, academic and city agency partners are using these results to inform dissemination of the OSNAP intervention via the REACH Obesity and Hypertension Demonstration Project REACH: Racial and Ethnic Approaches to Community Health http://www.cdc.gov/nccdphp/dch/programs/reach/

Thank You We are grateful to the summer camp staff and children who participated in data collection, and to the research assistants who collected these data. Support for this project was provided by cooperative agreements with the Centers for Disease Control and Prevention [CDC U48DP001946]. The content is solely the responsibility of the authors and does not necessarily represent the official views of the Centers for Disease Control and Prevention. Contact: jbarrett@hsph.harvard.edu

References 1. Afterschool Alliance. America After 3PM Special Report on Summer: Missed Opportunities, Unmet Demand. Washington, DC: Afterschool Alliance; 2010. 2. YMCA of the USA. First Ever National Healthy Eating and Physical Activity Standards Developed for Afterschool Programs. Available at: http://www.ymca.net/news releases/20110809 afterschool standards.html. Accessed March 4, 2014. 3. Boys & Girls Clubs of America. Boys & Girls Clubs of America and National Recreation and Park Association Join Partnership for a Healthier America. Available at: http://www.bgca.org/newsevents/pressreleases/pages/partnershipforahealthieramerica.aspx. Accessed March 4, 2014. 4. Giles CM, Kenney EL, Gortmaker SL, et al. Increasing water availability during afterschool snack: evidence, strategies, and partnerships from a group randomized trial. Am J Prev Med. 2012 Sep;43(3 Suppl 2):S136 42. doi: 10.1016/j.amepre.2012.05.013. 5. Gortmaker SL, Lee RM, Mozaffarian RS, et al. Effect of an after school intervention on increases in children's physical activity. Med Sci Sports Exerc. 2012 Mar;44(3):450 7. doi: 10.1249/MSS.0b013e3182300128. 6. Dzewaltowski DA, Rosenkranz RR, Geller KS, et al. HOP'N afterschool project: an obesity prevention randomized controlled trial. Int J Behav Nutr Phys Act 2010;7(1):90. 7. Beets MW, Huberty J, Beighle A. Systematic observation of physical activity in afterschool programs: preliminary findings from Movin Afterschool intervention. J Phys Act Health. 2013 Sep;10(7):974 81. 8. Carrel AL, Clark RR, Peterson S, Eickhoff J, Allen DB. School based fitness changes are lost during the summer vacation. Arch Pediatr Adolesc Med. 2007;161(6):561 564. 9. Gutin B, Yin Z, Johnson M, Barbeau P. Preliminary findings of the effect of a 3 year after school physical activity intervention on fitness and body fat: The Medical College of Georgia Fitkid Project. International Journal of Pediatric Obesity: IJPO. 2008;3(Suppl 1):3 9. 10. Beets MW, Weaver RG, Beighle A, Webster C, Pate RR. How physically active are children attending summer day camps? J Phys Act Health. 2013;10:850 855. 11. Zarrett N, Sorensen C, Skiles B. Environmental and social motivational contextual factors related to youth physical activity: systematic observations of summer day camps. International Journal of Behavioral Nutrition and Physical Activity. 2013;10:63. 12. Freedson P, Pober D, Janz KF. Calibration of accelerometer output for children. Med Sci Sports Exerc. 2005;37(11):S523 S530. 13. Trost SG, Loprinzi PD, Moore R, Pfeiffer KA. Comparison of accelerometer cut points for predicting activity intensity in youth. Med Sci Sports Exerc. 2011;43:1360 1368. 14. Troiano RP, Berrigan D, Dodd KW, Masse LC, Tilert T, McDowell M. Physical activity in the United States measured by accelerometer. Med Sci Sport Exerc. 2008;40(1):181 188.