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Time as a Reward Associated with Differing Participation in Physical Activity and Screen Time? By: Tyler Kybartas Committee: Emily H Guseman, Kinesiology and Health Mark Byra, Kinesiology and Health Christine Wade, Family and Consumer Sciences

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Page 1: Thesis Defense Presentation

Is The Use of Screen Time as a Reward Associated

with Differing Participation in Physical Activity and

Screen Time?By: Tyler Kybartas

Committee:

Emily H Guseman, Kinesiology and Health

Mark Byra, Kinesiology and Health

Christine Wade, Family and Consumer Sciences

Page 2: Thesis Defense Presentation

Outline Literature Review

Purpose

Methods

Results

Discussion

Conclusion

Page 3: Thesis Defense Presentation

Obesity in Children

32% of children and adolescents in the US are overweight or obese (Ogden et al., 2012)

Consequences of pediatric obesity (Stamatakis et al., 2013; Thorp et al., 2011) Chronic disease risk

Socioemotional difficulties

Possible causes Sedentary habits

Physical activity

Page 4: Thesis Defense Presentation

Physical Activity

Current recommendations (US Department of Health and Human Services) One hour moderate to vigorous activity (MVPA) on each day

of the week

Vigorous physical activity and muscle/bone strengthening on at least three of those days

Prevalence of those meeting recommendations (NHANES; Troiano et al., 2008)

42% aged 6-11 y

8% of adolescents

Page 5: Thesis Defense Presentation

Screen Time

Screen time Screen time is the main contributor to sedentary time

Televisions, computers, video games, and cell phone usage

Less than 2 hours a day is recommended (Huhman et al., 2012; Kozub & Farmer, 2011)

Many children exceed this recommendation

Page 6: Thesis Defense Presentation

Rewards and Motivation (Goldfield, 2012; He et al., 2010; Ryan & Deci, 2000; Deci, Koestner, & Ryan, 1999; Deci, 1992; Deci, Benware, & Landy, 1972)

The use of rewards Role of motivation

Possible shift from extrinsic to intrinsic motivation How does this shift occur?

Page 7: Thesis Defense Presentation

Decreasing Excessive Media Usage While Increasing Physical Activity: A Single-Subject Research Study (Larwin & Larwin, 2008)

Subject: 14 year old girl; poor exercise motivation; excessive ST

5 week intervention with 2 follow ups (5 weeks and 1 Year)

Phase 1

2 weeks

1 mile TM = 1 h ST

Phase 2

3 weeks

1.5 miles TM = 1.5 h ST

Findings: Decreased ST & increased PA at follow-up (5 weeks and 1 Year)

Implications: use of ST as a reward could be a key factor to a positive behavior shift to increase exercise and decrease ST

Page 8: Thesis Defense Presentation

Purpose

The purpose of this study was to determine whether the use of screen time as a reward is associated with habitual physical activity among Wyoming children

Page 9: Thesis Defense Presentation

Methods - Subjects

Boys and girls ages 5-18 y Recruited from a local pediatric clinic

Recruitment Annual well-child visits

Page 10: Thesis Defense Presentation

Methods - Assessments

Lifestyle survey

Page 11: Thesis Defense Presentation

Data Analysis – Subject Characteristics

Subject Characteristics Age, gender

Independent samples t-test (rewards groups)

Frequencies Percent playing sports, percent in season

Main outcome: ANCOVA (sex)

Page 12: Thesis Defense Presentation

Results

Participant Characteristics

49 Participants completed the survey

2 Exclusions-incomplete survey

3 Exclusions-Statistical outliers (MVPA ± 3 SD)

44 Total participants included

17 Males

12 Females

15 Unknown

Page 13: Thesis Defense Presentation

Results – Screen Time

    + Rewards - Rewards Total Sample    n=16 n=28 n=44Television (h/day)

Total 2.08 (1.51) 2.61 (2.40) 2.42 (2.12)Video Games (h/day)

Total 1.11 (1.16) 0.81 (1.18) 0.92 (1.17)Computer (h/day)

Total 0.69 (0.75) 0.76 (1.10) 0.74 (0.98)Total Screen Time (h/day)

3.88 (1.89) 4.19 (3.29) 4.08 (2.84)Meeting recommendations (n) 4 5 9  Percent  25.0% 17.9% 20.5%

Table 4-3. Differences in screen time behaviors by reward group. Values are mean (SD) unless otherwise indicated.

Page 14: Thesis Defense Presentation

Results – Physical Activity

    + Rewards - Rewards Total Sample

    n=16 n=28 n=44

Physical Activity (h/day)

Weekdays 1.73 (0.88) 1.34 (0.84) 1.49 (0.87)

Weekends 2.53 (1.56) 1.53 (0.90) 1.89 (1.27)

Total 1.96 (0.89)* 1.39 (0.80)* 1.60 (0.87)

Meeting recommendations (n) 14 20 34

Percent 87.50% 74.07% 77.27%

Table 4-4. Differences in physical activity patterns between reward groups. Values are mean (SD) unless otherwise indicated.

Page 15: Thesis Defense Presentation

Results

Figure 4-1. MVPA differences between reward groups adjusted for sex.

*

Page 16: Thesis Defense Presentation

Discussion

There was a significant difference in PA levels but not ST levels between the two reward groups

ST as a reward may increase extrinsic, and later intrinsic, motivation to exercise

Page 17: Thesis Defense Presentation

ST and PA

80% of children exceeded the ST recommendation in this study

77% of children met the PA recommendation in the sample

Only 18.8% met both PA and ST recommendations

20.4% met neither PA nor ST recommendations

Sedentary time and PA are independent predictors of health (Eisenmann et al., 2008; Hamilton, Hamilton, & Zderic, 2007; Healy, et al., 2008; Rosenberg et al., 2008)

High childhood ST increases the likelihood of becoming overweight or obese (Huhman et al., 2012; Kozub & Farmer, 2011)

Page 18: Thesis Defense Presentation

ST and PA Inverse relationship between ST and PA

Results inconsistent with other findings (Huhman et al., 2012; Maher et al., 2012; Olds et al., 2012; Sandercock et al., 2012; Serrano-Sanchez et al., 2011)

Results consistent with Laurson and colleagues in 2008

Rural states

Number, size, and access to state and national parks

Urban versus rural play (Burdette & Whitaker, 2005; Lederbogen et al., 2011)

Page 19: Thesis Defense Presentation

ST as a reward for PA

Comparison to Larwin & Larwin’s 2008 case study

No difference in ST between the groups

Difference in PA levels

ST as a reward for PA may play a key role in increasing PA levels

Use of extrinsic rewards might promote a shift to intrinsic motivation to participate in PA

Shown previously (Hardman et al., 2011; Horne et al., 2009)

Page 20: Thesis Defense Presentation

Conclusion

Limitations

Small sample

Unable to collect anthropometric data

Cannot extend our findings to potential impacts on obesity rates

Cross-sectional design

Self-reported measured of PA and ST

Future study

Randomized control trial comparing 3 groups (control, + rewards, - rewards)

Objective measures of PA and ST

Page 21: Thesis Defense Presentation

References Burdette, H. L. & Whitaker, R. C. (2005). Resurrecting free play in young children: looking beyond fitness and fatness to attention, affiliation and affect. Arch Pediatric Adolescent

Medical. 159(1), 46-50. Deci, E. (1992). On the nature and functions of motivation theories. Psychological Science, 3(3), 167–171. Deci, E. L., Benware, C., & Landy, D. (1974). The attribution of motivation as a function of output and rewards. Journal of Personality, 42(4), 652–667. Deci, E. L., Koestner, R., & Ryan, R. M. (1999). A meta-analytic review of experiments examining the effects of extrinsic rewards on intrinsic motivation. Psychological Bulletin,

125(6), 627–68; discussion 692–700. Eisenmann, J. C., Bartee, R. T., Smith, D. T., Welk, G. J., & Fu, Q. (2008). Combined influence of physical acitivity and tevlevision viewing on the risk of overweight in US youth.

Medicine Science Sports and Exercise, 32(1), 613-618. Faith, M. S., Berman, N., Heo, M., Pietrobelli, A., Gallagher, D., Epstein, L. H., … Allison, D. B. (2001). Effects of contingent television on physical activity and television viewing in

obese children. Pediatrics, 107(5), 1043–8. Goldfield, G. S. (2012). Making access to TV contingent on physical activity: effects on liking and relative reinforcing value of TV and physical activity in overweight and obese

children. Journal of Behavioral Medicine, 35(1), 1–7. Hamilton, M. T., Hamilton, D. G., Zderic T. W. (2007). Role of low energy expenditure and sitting in obesity, metabolic syndrome, type 2 diabetes, and cardiovacular disease.

Diabetes, 56(1), 2655-2667. Hardman, C. a, Horne, P. J., & Fergus Lowe, C. (2011). Effects of rewards, peer-modelling and pedometer targets on children’s physical activity: a school-based intervention study.

Psychology & Health, 26(1), 3–21. He, M., Piché, L., Beynon, C., & Harris, S. (2010). Screen-related sedentary behaviors: children’s and parents' attitudes, motivations, and practices. Journal of Nutrition Education

and Behavior, 42(1), 17–25. Healy, G. N., Dunstan D. W., Salmon, J., Shaw, J. E., Zimmet, P. Z., Owen, N. (2008). Television time and continuous metabolic risk in physically active adults. Medicine Science of

Sports and Exercise, 40(1), 639-645. Horne, P. J., Hardman, C. a, Lowe, C. F., & Rowlands, a V. (2009). Increasing children’s physical activity: a peer modelling, rewards and pedometer-based intervention. European

Journal of Clinical Nutrition, 63(2), 191–8. How much physical activity do children need? (2011). Centers for Disease Control and Prevention. Retrieved from

http://www.cdc.gov/physicalactivity/everyone/guidelines/children.html Huhman, M., Lowry, R., Lee, S. M., Fulton, J. E., Carlson, S. a, & Patnode, C. D. (2012). Physical activity and screen time: trends in U.S. children aged 9-13 years, 2002-2006.

Journal of Physical Activity & Health, 9(4), 508–15. Kowal, J., & Fortier, M. (1999). Motivational determinants of flow: Contributions from self-determination theory. The Journal of Social Psychology, 139(3), 355–368. Kozub, F., & Farmer, J. (2011). Free Time Motivation and Physical Activity in Middle School Children. Physical Educator, 68(1), 18–29. Kuczmarski RJ, Ogden CL, Guo SS, et al. 2000 CDC Growth Charts for the United States: methods and development. Vital Health Stat 11. 2002 May(246):1-190. Larwin, K. H., & Larwin, D. a. (2008). Decreasing excessive media usage while increasing physical activity: a single-subject research study. Behavior Modification, 32(6), 938–56. Laurson, K., Eisenmann, J. C., & Moore, S. (2008). Lack of association between television viewing, soft drinks, physical activity and body mass index in children. Acta Paediatrica

(Oslo, Norway : 1992), 97(6), 795–800. Lederbogen, F., Kirsch, P., Haddad, L., Streit, F., Tost, H., Schuch, P., et al. (2011). City living and urban upbringing affect neural social stress processing in humans. Nature,

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Page 22: Thesis Defense Presentation

References Lubans, D. R., Morgan, P. J., Weaver, K., Callister, R., Dewar, D. L., Costigan, S. A., … Plotnikoff, R. C. (2012). Rationale and study protocol for the supporting children’s

outcomes using rewards, exercise and skills (SCORES) group randomized controlled trial: a physical activity and fundamental movement skills intervention for primary schools in low-income communiti. BMC Public Health, 12(June), 427.

Maher, C., Olds, T. S., Eisenmann, J. C., & Dollman, J. (2012). Screen time is more strongly associated than physical activity with overweight and obesity in 9- to 16-year-old Australians. Acta Paediatrica (Oslo, Norway : 1992), 101(11), 1170–4.

Ogden, C. L., Carroll, M. D., Kit, B. K., & Flegal, K. M. (2012). Prevalence of obesity and trends in body mass index among US children and adolescents, 1999-2010. JAMA : The Journal of the American Medical Association, 307(5), 483–90.

Olds, T., Ferrar, K. E., Gomersall, S. R., Maher, C., & Walters, J. L. (2012). The elasticity of time: associations between physical activity and use of time in adolescents. Health Education & Behavior : The Official Publication of the Society for Public Health Education, 39(6), 732–6.

Pate, R. R., O’Neill, J. R., & Lobelo, F. (2008). The evolving definition of “sedentary”. Exercise and Sport Sciences Reviews, 36(4), 173–8. Ryan, R., & Deci, E. (2000). Intrinsic and Extrinsic Motivations: Classic Definitions and New Directions. Contemporary Educational Psychology, 25(1), 54–67. Robinson, T. N., & Borzekowski, D. L. G. (2006). Effects of the SMART Classroom Curriculum to Reduce Child and Family Screen Time. Journal of Communication, 56(1) 1–26. Rosenberg, D. E., Bull, F. C., Marshall, A. L., Sallis, J. F., Bauman, A. E. (2008). Assessment of sedentary behavior with the international physical activity questionnaire. Journal

of Physical Activity and Health, 5(suppl. 1), S30-S44. Sandercock G, R. H., Ogunleye, A., & Voss, C. (2012). Screen time and physical activity in youth: thief of time or lifestyle choice? Journal of Physical Activity & Health, 9(7),

977–84. Serrano-Sanchez, J. a, Martí-Trujillo, S., Lera-Navarro, A., Dorado-García, C., González-Henríquez, J. J., & Sanchís-Moysi, J. (2011). Associations between screen time and

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Journal of Preventive Medicine, 44(1), 48–55. Stamatakis, E., Coombs, N., Jago, R., Gama, A., Mourão, I., Nogueira, H., … Padez, C. (2013). Type-specific screen time associations with cardiovascular risk markers in

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Page 23: Thesis Defense Presentation

Questions