Skip to main content
Hauptrubriken
CME Facharzt-Training Webinare Zeitschriften Bücher e.Medpedia Podcast
Service
Jobbörse Info & Hilfe
Fachgebiete
Anästhesiologie Allgemeinmedizin Arbeitsmedizin Augenheilkunde Chirurgie Dermatologie Gynäkologie und Geburtshilfe HNO Innere Medizin Kardiologie Neurologie Onkologie und Hämatologie Orthopädie und Unfallchirurgie Pädiatrie Pathologie Psychiatrie Radiologie Rechtsmedizin Urologie Zahnmedizin
Themen
Klimawandel und Gesundheit Neues aus dem Markt COVID-19 Praxis und Beruf Seltene Erkrankungen GOÄ & EBM Panorama
Sammlungen
Kasuistiken Algorithmen & Infografiken Blickdiagnosen Arthropedia FlapFinder (für Dermatochirurgen) Videos Kongressberichterstattung Medizin für Apothekerinnen und Apotheker Für Ärztinnen und Ärzte in Weiterbildung Für Medizinstudierende

Live-Webinar: Aktuelle Leitlinien bei Herz-Kreislauf-Erkrankungen

Konkret geht es um den Diabetes-Patienten mit kardiovaskulären Erkrankungen oder Risiken, die Herzinsuffizienz sowie die kardiovaskuläre Primär- und Sekundärprävention. Sind Sie hier schon auf dem neuesten Stand? Unsere Experten beleuchten, wo und warum das bisherige Procedere geändert werden soll und was in der Praxis sinnvoll ist. Holen Sie sich Ihr Update und 2 CME-Punkte beim MMW-Webinar am 24. April von 17.30 bis 19 Uhr. 
Erweiterte Suche
Anmelden
nach oben
Translational Behavioral Medicine
Erschienen in: Translational Behavioral Medicine 2/2014

01.06.2014 | Original research

Process evaluation and proximal impact of an affect-based exercise intervention among adolescents

verfasst von: Margaret Schneider, PhD

Erschienen in: Translational Behavioral Medicine | Ausgabe 2/2014

Einloggen, um Zugang zu erhalten

ABSTRACT

The objective of this study was to evaluate the implementation and proximal impact of an intervention designed to enhance adolescents’ affective experience during Physical Education (PE). Healthy adolescents (N = 74) were randomly assigned to an affect-based or a traditional exercise prescription. Intervention logs, observations and interviews documented the implementation of the intervention. Participants completed a 30-min exercise task at an intensity that felt “good” to them before and after the intervention. Study procedures were implemented successfully and students enjoyed study participation. The intervention had no impact on exercise intensity during PE or during the “feels-good” exercise task. Among adolescents who manifested a negative affective response to moderate-intensity exercise at baseline, the selected intensity during the “feels-good” task increased over time. The intervention may have been too weak to impact behavior over and above a high-quality PE program. The results do suggest, however, that reluctant exercisers may choose to exercise at a higher intensity after experiencing a high-quality PE program in combination with heart rate monitoring.
Fußnoten
1
Originally, we intended to use a procedure analogous to that used by Rose and Parfitt [26], who instructed adults to exercise at an intensity equivalent to a “3” on the Feeling Scale. Pilot testing revealed that if we used this instruction then adolescents would consistently report a Feeling Scale rating of “3” during the task without variation. We therefore modified the instructions to ask adolescents to exercise at a level that felt “good”.
 
2
We added the buffer of 10 beats above the maximum achieved during the feels-good task because early experience with the intervention revealed that some students were exceeding their maximum simply by walking from the changing room to the field.
 
Literatur
1.
Butcher K, Sallis JF, Mayer JA, Woodruff S. Correlates of physical activity guideline compliance for adolescents in 100 U.S. Cities. J Adolesc Health. 2008; 42(4): 360-368.PubMedCentralPubMedCrossRef
2.
Eaton DK, Kann L, Kinchen S, et al. Youth risk behavior surveillance–United States, 2007. MMWR Surveill Summ. 2008; 57(4): 1-131.PubMed
3.
Troiano RP, Berrigan D, Dodd KW, Masse LC, Tilert T, McDowell M. Physical activity in the United States measured by accelerometer. Med Sci Sports Exerc. 2008; 40(1): 181-188.PubMedCrossRef
4.
Eaton DK, Kann L, Kinchen S, et al. Youth risk behavior surveillance - United States, 2011. MMWR Surveill Summ. 2012; 61(4): 1-162.PubMed
5.
6.
Brown WJ, Burton NW, Rowan PJ. Updating the evidence on physical activity and health in women. Am J Prev Med. 2007; 33(5): 404-411.PubMedCrossRef
7.
USDHHS. Physical Activity Guidelines for Americans Mid-course Report: Strategies to Increase Physical Activity Among Youth (Draft for public comment). In: USDHHS, ed2012.
8.
Ekkekakis P, Dafermos M. Exercise is a many-splendored thing but for some it does not feel so splendid: Staging a resurgence of hedonistic ideas in the quest to understand exercise behavior. In: Acevedo EO, ed. Oxford handbook of exercise psychology. New York: Oxford University Press; 2012.
9.
Schneider M, Dunn A, Cooper D. Affect, exercise, and physical activity among healthy adolescents. J Sport Exerc Psychol. 2009; 31(6): 706-723.PubMedCentralPubMed
10.
Williams DM, Dunsiger S, Ciccolo JT, Lewis BA, Albrecht AE, Marcus BH. Acute Affective Response to a Moderate-intensity Exercise Stimulus Predicts Physical Activity Participation 6 and 12 Months Later. Psychol Sport Exerc. 2008; 9(3): 231-245.PubMedCentralPubMedCrossRef
11.
Ekkekakis P, Parfitt G, Petruzzello SJ. The Pleasure and Displeasure People Feel When they Exercise at Different Intensities Decennial Update and Progress towards a Tripartite Rationale for Exercise Intensity Prescription. Sports Med. 2011; 41(8): 641-671.PubMedCrossRef
12.
Parfitt G, Blisset A, Rose EA, Eston R. Physiological and perceptual responses to affect-regulated exercise in healthy young women. Psychophysiology. 2012; 49(1): 104-110.PubMedCrossRef
13.
Parfitt G, Eston R, Connolly D. Psychological affect at different ratings of perceived exertion in high- and low-active women: a study using a production protocol. Percept Mot Skills. 1996; 82(3 Pt 1): 1035-1042.PubMedCrossRef
14.
Stych K, Parfitt G. Exploring affective responses to different exercise intensities in low-active young adolescents. J Sport Exerc Psychol. 2011; 33(4): 548-568.PubMed
15.
Parfitt G, Hughes S. The Exercise Intensity-Affect Relationship: Evidence and Implications for Exercise Behavior. J Exerc Sci Fit. 2009; 7(2): S34-S41.CrossRef
16.
Schneider ML, Graham DJ. Personality, physical fitness, and affective response to exercise among adolescents. Med Sci Sports Exerc. 2009; 41(4): 947-955.PubMedCentralPubMedCrossRef
17.
Rose EA, Parfitt G. Exercise experience influences affective and motivational outcomes of prescribed and self-selected intensity exercise. Scand J Med Sci Sports. 2012; 22(2): 265-277.PubMedCrossRef
18.
Rose EA, Parfitt G. Pleasant for some and unpleasant for others: a protocol analysis of the cognitive factors that influence affective responses to exercise. Int J Behav Nutr Phys Act. 2010; 7: 15.PubMedCentralPubMedCrossRef
19.
Davidsion R. Emotion and Affective Style: Hemispheric Substrates. Psychol Sci. 1992; 3: 39-43.CrossRef
20.
Schneider M, Graham D, Grant A, King P, Cooper D. Regional brain activation and affective response to physical activity among healthy adolescents. Biol Psychol. 2009; 82(3): 246-252.PubMedCentralPubMedCrossRef
21.
22.
Carver CS, Sutton S, Scheier M. Action, emotion, and personality: Emerging conceptual integration. Personal Soc Psychol Bull. 2000; 26: 741-751.CrossRef
23.
Sutton S, Davidsion R. Resting pre-frontal asymmetry: A biological substrate of the behavioral approach and behavioral inhibition systems. Psychol Sci. 1997; 8: 204-210.CrossRef
24.
Maxwell JS, Davidson RJ. Emotion as motion: Asymmetries in approach and avoidant actions. Psychol Sci. 1992; 18(12): 1113-1119.CrossRef
25.
Parfitt G, Alrumh A, Rowlands AV. Affect-regulated exercise intensity: does training at an intensity that feels ‘good’ improve physical health? J Sci Med Sport. 2012; 15(6): 548-553.PubMedCrossRef
26.
Rose EA, Parfitt G. Can the feeling scale be used to regulate exercise intensity? Med Sci Sports Exerc. 2008; 40(10): 1852-1860.PubMedCrossRef
27.
Parfitt G, Evans H, Eston R. Perceptually regulated training at RPE13 is pleasant and improves physical health. Med Sci Sports Exerc. 2012; 44(8): 1613-1618.PubMedCrossRef
28.
Sallis JF, McKenzie TL. Physical education’s role in public health. Res Q Exerc Sport. 1991; 62(2): 124-137.PubMedCrossRef
29.
Wallhead T, Buckworth J. The role of physical education in the promotion of physical activity. Quest. 2004; 56: 285-301.CrossRef
30.
31.
Blumberg RS, Dittel B, Hafler D, von Herrath M, Nestle FO. Unraveling the autoimmune translational research process layer by layer. Nat Med. 2012; 18(1): 35-41.PubMedCrossRef
32.
Whipp B, Davis J, Torres F, Wasserman K. A test to determine parameters of aerobic function during exercise. J Appl Physiol. 1981; 50: 217-221.PubMed
33.
Lee MC, Gorelick M. Validity of the Smarthealth Watch to Measure Heart Rate During Rest and Exercise. Meas Phys Educ Exerc Sci. 2011; 15: 18-25.CrossRef
34.
35.
Hardy C, Rejeski W. Not what, but how one feels: the measurement of affect during exercise. J Sport Exerc Psychol. 1989; 11: 304-317.
36.
Sheppard KE, Parfitt G. Acute affective responses to prescribed and self-selected exercise intensities in young adolescent boys and girls. Pediatr Exerc Sci. 2008; 20(2): 129-141.PubMed
37.
Robbins LB, Gretebeck KA, Kazanis AS, Pender NJ. Girls on the move program to increase physical activity participation. Nurs Res. 2006; 55(3): 206-216.PubMedCrossRef
38.
Borg G. Borg’s perceived exertion and pain scales. Champaign, IL: Human Kinetics; 1998.
39.
Freedson PS, Melanson E, Sirard J. Calibration of the Computer Science and Applications, Inc. accelerometer. Med Sci Sports Exerc. 1998; 30(5): 777-781.PubMedCrossRef
40.
Pruessner JC, Kirschbaum C, Meinlschmid G, Hellhammer DH. Two formulas for computation of the area under the curve represent measures of total hormone concentration versus time-dependent change. Psychoneuroendocrinology. 2003; 28(7): 916-931.PubMedCrossRef
41.
Schneider M, Cooper DM. Enjoyment of exercise moderates the impact of a school-based physical activity intervention. Int J Behav Nutr Phys Act. 2011; 8: 64.PubMedCentralPubMedCrossRef
42.
Fairclough S, Stratton G. Improving health-enhancing physical activity in girls’ physical education. Health Educ Res. 2004; 20(4): 448-457.PubMedCrossRef
43.
Hall WJ, Zeveloff A, Steckler A, et al. Process evaluation results from the HEALTHY physical education intervention. Health Educ Res. 2012; 27(2): 307-318.PubMedCentralPubMedCrossRef
44.
Rhodes RE, Fiala B, Conner M. A review and meta-analysis of affective judgments and physical activity in adult populations. Ann Behav Med. 2009; 38(3): 180-204.PubMedCrossRef
45.
Nasuti G, Rhodes RE. Affective Judgment and Physical Activity in Youth: Review and Meta-Analyses. Ann Behav Med. 2013; 45: 357-376.PubMedCrossRef
46.
Deci E, Ryan R. Intrinsic motivation and self-determination in human behavior. New York: Plenum; 1985.CrossRef
47.
Schneider M, Kwan B. Psychological Need Satisfaction, Intrinsic Motivation and Affective Response to Exercise in Adolescents. Psychol Sport Exerc. 2013; 14(5): 776-785.PubMedCrossRef
48.
Teixeira PJ, Carraca EV, Markland D, Silva MN, Ryan RM. Exercise, physical activity, and self-determination theory: a systematic review. Int J Behav Nutr Phys Act. 2012; 9: 78.PubMedCentralPubMedCrossRef
49.
Song M, Carroll DD, Fulton JE. Meeting the 2008 physical activity guidelines for americans among U.S. youth. Am J Prev Med. 2013; 44(3): 216-222.PubMedCrossRef
Metadaten
Titel
Process evaluation and proximal impact of an affect-based exercise intervention among adolescents
verfasst von
Margaret Schneider, PhD
Publikationsdatum
01.06.2014
Verlag
Springer US
Erschienen in
Translational Behavioral Medicine / Ausgabe 2/2014
Print ISSN: 1869-6716
Elektronische ISSN: 1613-9860
DOI
https://doi.org/10.1007/s13142-013-0249-5

Weitere Artikel der Ausgabe 2/2014

Translational Behavioral Medicine 2/2014 Zur Ausgabe

original research

Translating the Diabetes Prevention Program in Native Hawaiian and Pacific Islander communities: the PILI ‘Ohana Project

Original research

Using qualitative comparative analysis to understand and quantify translation and implementation

Original Research

Development and application of an electronic health record information extraction tool to assess quality of pain management in primary care

Original Research

School factors as barriers to and facilitators of a preventive intervention for pediatric type 2 diabetes

News from NIH

News from the NIH: research to evaluate “natural experiments” related to obesity and diabetes

original research

Translation and sustainability of an HIV prevention intervention in Lusaka, Zambia