Exploring Gender Differences in Predicting Physical Activity Among Elementary Aged Children: An Application of the Integrated Behavioral Model

References

• U.S. Department of Health and Human Services, Office of Disease Prevention and Health Promotion. Health People 2020. http://www.healthypeople.gov/2020/topics-objectives/topic/physical-activity. Updated April 12, 2015. Accessed July 9, 2015.
   Google Scholar
• U.S. Department of Health and Human Services, Office of Disease Prevention and Health Promotion. 2008. Physical activity guidelines for American. http://www.health.gov/paguidelines/pdf/paguide.pdf. Published October 2008. Accessed July 9, 2015.
   Google Scholar
• Ogden CL, Carroll MD, Kit BK, et al. Prevalence of childhood and adult obesity in the United States, 2011–2012. JAMA. 2014;311:806‐814.
   PubMed Web of Science ®Google Scholar
• Hill JO, Wyatt HR, Reed GW, et al. Obesity and the environment: where do we go from here? Science. 2003;299:853‐855.
   PubMed Web of Science ®Google Scholar
• Strong WB, Malina RM, Blimkie CJ, et al. Evidence based physical activity for school-age youth. J Pediatr. 2005;146:732‐737.
   PubMed Web of Science ®Google Scholar
• Warburton DE, Nicol CW, Bredin SS. Health benefits of physical activity: the evidence. CMAJ. 2006;174:801‐809.
   PubMed Web of Science ®Google Scholar
• Camero M, Hobbs C, Stringer M, et al. A review of physical activity interventions on determinants of mental health in children and adolescents. Int J Ment Health Promot. 2012;14:196‐206.
   Google Scholar
• Kelder SH, Perry CL, Klepp KI, et al. Longitudinal tracking of adolescent smoking, physical activity, and food choice behaviors. Am J Public Health. 1994;84:1121‐1126.
   PubMed Web of Science ®Google Scholar
• Centers for Disease Control and Prevention. Physical activity levels among children aged 9–13 years—United States, 2002. MMWR Morb Mortal Wkly Rep. 2003;52:785‐788.
   PubMedGoogle Scholar
• Troiano RP, Berrigan D, Dodd KW, et al. Physical activity in the United States measured by accelerometer. Med Sci Sports Exerc. 2008;40:181‐188.
   PubMed Web of Science ®Google Scholar
• Centers for Disease Control and Prevention. Youth risk behavior surveillance—United States, 2009. MMWR Morb Mortal Wkly Rep. 2010;59(SS-8):1‐20.
   PubMedGoogle Scholar
• Lenhart CM, Hanlon A, Kang Y, et al. Gender disparity in structured physical activity and overall activity level in adolescence: evaluation of youth risk behavior surveillance data. Int Sch Res Notices. 2012;2012:1‐8.
   Google Scholar
• Mota J, Santos P, Guerra S, et al. Patterns of daily physical activity during school days in children and adolescents. Am J Hum Biol. 2003;15:547‐553.
   PubMed Web of Science ®Google Scholar
• Michie S, Prestwich A. Are interventions theory-based? Development of a theory coding scheme. Health Psychol. 2010;29:1‐8.
   PubMed Web of Science ®Google Scholar
• Fishbein M, Middlestadt SE, Hitchcock PJ. Using information to change sexually transmitted disease–related behaviors: an analysis based on the theory of reasoned action. In: Diclemente RJ, Peterson JL, eds. Preventing AIDS: Theories and Methods of Behavioral Interventions. New York, NY: Plenum Press; 1994;61‐78.
   Google Scholar
• Rosenstock IM, Strecher VJ, Becker MH. The health belief model and HIV risk behavior change. In: Diclemente RJ, Peterson JL, eds. Preventing AIDS: Theories and Methods of Behavioral Interventions. New York, NY: Plenum Press; 1994;5‐24.
   Google Scholar
• Montano DE, Kasprzyk D. Theory of reasoned action, theory of planned behavior, and the integrated behavioral model. In: Glanz K, Rimer BK, Viswanath K, eds. Health Behavior and Health Education: Theory, Research and Practice 4th ed. San Francisco, CA: Jossey-Bass; 2008;67‐92.
   Google Scholar
• DiClemente RJ, Crosby RA, Kegler M. Emerging Theories in Health Promotion Practice and Research 2nd ed. San Francisco, CA: John Wiley & Sons; 2009.
   Google Scholar
• Fishbein M, Ajzen I. Predicting and Changing Behavior: The Reasoned Action Approach 1st ed. New York, NY: Psychological Press; 2010.
   Google Scholar
• Rimer BK, Brewer NT. Introduction to health behavior theories that focus on individuals. In: Glanz K, Rimer BK, Viswanath K, eds. Health Behavior: Theory, Research and Practice 5th ed. San Francisco, CA: Jossey-Bass; 2015;67‐74.
   Google Scholar
• Glanz K, Rimer BK, Viswanath K, eds. Health Behavior and Health Education: Theory, Research, and Practice 4th ed. San Francisco, CA: Jossey-Bass; 2008.
   Google Scholar
• Head KJ, Noar SM. Facilitating progress in health behavior theory development and modification: the reasoned action approach as a case study. Health Psychol Rev. 2014;8:34‐52.
   PubMed Web of Science ®Google Scholar
• McEachan R, Conner M, Taylor NJ, et al. Prospective prediction of health-related behaviors with the theory of planned behavior: a meta-analysis. Health Psychol Rev. 2011;5(2):97‐144.
   Web of Science ®Google Scholar
• Beville JM, Umstattd Meyer MR, Usdan SL, et al. Gender differences in college leisure time physical activity: application of the theory of planned behavior and integrated behavioral model. J Am Coll Health. 2014;62(3):173‐184.
   PubMed Web of Science ®Google Scholar
• National Center for Educational Statistics. CCD Public school district data for the 2012–2013, 2013–2014 school years for Norman Public School District. http://nces.ed.gov/ccd/districtsearch/district_detail.asp?Search = 2&details = 1&ID2 = 4021720&DistrictID = 4021720. Published 2015. Accessed July 9, 2015.
   Google Scholar
• Canavera M, Sharma M, Murnan J. Development and pilot testing a social cognitive theory based intervention to prevent childhood obesity among elementary students in rural Kentucky. Int Q Community Health Educ. 2009;29:57‐70.
   Google Scholar
• Cottrell L, Harris CV, Bradlyn A, et al. Identifying the people and factors that influence children's intentions to make lifestyle changes. Health Promot Pract. 2012;13(2):183‐189.
   PubMedGoogle Scholar
• Branscum P, Crowson HM. Using the integrative model to predict physical and sedentary activities of elementary children. Paper presented at: American Public Health Association 2013 Annual Conference; November, 2013; Boston, MA. https://apha.confex.com/apha/141am/webprogramadapt/Paper279024.html. Accessed May 18, 18, 2016.
   Google Scholar
• Branscum P, Sharma M. Comparing the utility of the theory of planned behavior between boys and girls for predicting snack food consumption implications for practice. Health Promot Pract. 2014;15:134‐140.
   PubMedGoogle Scholar
• Ajzen I. The theory of planned behaviour: reactions and reflections. Psychol Health. 2011;26:1113‐1127.
   PubMed Web of Science ®Google Scholar
• Webb OJ, Benjamin CC, Gammon C, et al. Physical activity, sedentary behaviour and physical self-perceptions in adolescent girls: a mediation analysis. Ment Health Phys Act. 2013;6:24‐29.
   Web of Science ®Google Scholar
• Mendonça G, Cheng LA, Mélo EN, et al. Physical activity and social support in adolescents: a systematic review. Health Educ Res. 2014;29:822‐839.
   PubMed Web of Science ®Google Scholar
• Beets MW, Pitetti KH, Forlaw L. The role of self-efficacy and referent specific social support in promoting rural adolescent girls’ physical activity. Am J Health Behav. 2007;31:227‐237.
   PubMed Web of Science ®Google Scholar
• Shephard RJ. Limits to the measurement of habitual physical activity by questionnaires. Br J Sports Med. 2003;37(3):197‐206.
   PubMed Web of Science ®Google Scholar
• Loprinzi PD, Cardinal BJ. Measuring children's physical activity and sedentary behaviors. J Exerc Sci Fit. 2011;9:15‐23.
   Web of Science ®Google Scholar
• Buhi ER, Goodson P, Neilands TB, et al. Adolescent sexual abstinence: a test of an integrative theoretical framework. Health Educ Behav. 2011;38:63‐79.
   PubMed Web of Science ®Google Scholar
• Hull SJ, Hennessy M, Bleakley A, et al. Identifying the causal pathways from religiosity to delayed adolescent sexual behavior. J Sex Res. 2011;48:543‐553.
   PubMed Web of Science ®Google Scholar
• Dillard JP. An application of the integrative model to women's intention to be vaccinated against HPV: implications for message design. Health Commun. 2011;26:479‐486.
   PubMed Web of Science ®Google Scholar
• Atwell K, Abraham C, Duka T. A parsimonious, integrative model of key psychological correlates of UK university students’ alcohol consumption. Alcohol Alcohol. 2011;46:253‐260.
   PubMed Web of Science ®Google Scholar
• Zhao X, Sayeed S, Cappella J, et al. Targeting norm-related beliefs about marijuana use in an adolescent population. Health Commun. 2006;19(3):187‐196.
   PubMed Web of Science ®Google Scholar
• Smith-McLallen A, Fishbein M, Hornik RC. Psychosocial determinants of cancer-related information seeking among cancer patients. J Health Commun. 2011;16:212‐225.
   PubMed Web of Science ®Google Scholar
• Brage S, Wedderkopp N, Ekelund U, et al. Features of the metabolic syndrome are associated with objectively measured physical activity and fitness in Danish children. The European Youth Heart Study (EYHS). Diabetes Care. 2004;27:2141‐2148.
   PubMed Web of Science ®Google Scholar
• Meredith MD, Welk GJ, eds. Fitnessgram/Activitygram: Test Administration Manual. Champaign, IL: Human Kinetics; 2007.
   Google Scholar
• Robbins R, Niederdeppe J. Using the integrative model of behavioral prediction to identify promising message strategies to promote healthy sleep behavior among college students. Health Commun. 2015;30:26‐38.
   PubMed Web of Science ®Google Scholar
• Sheeran P, Trafimow D, Finlay KA, et al. Evidence that the type of person affects the strength of the perceived behavioural control-intention relationship. Br J Soc Psychol. 2002;41:253‐270.
   PubMed Web of Science ®Google Scholar
• Hornik R, Woolf KD. Using cross-sectional surveys to plan message strategies. Soc Mar Q. 1999;5:34‐41.
   Google Scholar
• Ajzen I. Behavioral interventions: design and evaluation guided by the theory of planned behavior. In: Mark M, Donaldson SI, Campbell B, eds. Social Psychology and Evaluation. New York, NY: Guilford Press; 2011;74‐100.
   Google Scholar