Abstract
During adolescence, physical activity (PA) decreases with potentially serious, long-term consequences for physical and mental health. Although barriers have been identified as an important PA correlate in adults, research on adolescents’ PA barriers is lacking. Thus reliable, valid scales to measure adolescents’ PA barriers are needed. We present two studies describing a broad range of PA barriers relevant to adolescents with a multidimensional approach. In Study 1, 124 adolescents (age range = 12 – 24 years) reported their most important PA barriers. Two independent coders categorized those barriers. The most frequent PA barriers were incorporated in a multidimensional questionnaire. In Study 2, 598 adolescents (age range = 13 – 21 years) completed this questionnaire and reported their current PA, intention, self-efficacy, and negative outcome expectations. Seven PA barrier dimensions (leisure activities, lack of motivation, screen-based sedentary behavior, depressed mood, physical health, school workload, and preconditions) were confirmed in factor analyses. A multidimensional approach to measuring PA barriers in adolescents is reliable and valid. The current studies provide the basis for developing individually tailored interventions to increase PA in adolescents.
Im Jugendalter sinkt die körperliche Aktivität mit potenziell schwerwiegenden, langfristigen Konsequenzen für die körperliche und psychische Gesundheit. Obwohl Barrieren als wichtiges Korrelat körperlicher Aktivität von Erwachsenen gelten, sind sie bei Jugendlichen kaum untersucht. Eine Quantifizierung der Barrieren Jugendlicher durch reliable, valide Messinstrumente ist folglich unabdingbar. In zwei Studien wurde ein breites Spektrum von Barrieren körperlicher Aktivität von Jugendlichen anhand eines mehrdimensionalen Ansatzes untersucht. In Studie 1 berichteten 124 Jugendliche (Altersbereich: 12 – 24 Jahre) die für sie wichtigsten Barrieren körperlicher Aktivität. Diese wurden von zwei unabhängigen Kodierern kategorisiert. Die am häufigsten genannten Barrieren gingen in die Konstruktion des mehrdimensionalen Fragebogens ein. In Studie 2 beantworteten 598 Jugendliche (Altersbereich: 13 – 21 Jahre) diesen Fragebogen; zudem berichteten sie ihre aktuelle körperliche Aktivität, Intention, Selbstwirksamkeit und negativen Konsequenzerwartungen. Sieben Barrieren-Dimensionen wurden mittels Faktorenanalysen bestätigt (Freizeitaktivitäten, mangelnde Motivation, Medienkonsum, depressive Stimmung, körperliche Gesundheit, schulische Arbeitsbelastung, Voraussetzungen). Die Ergebnisse zeigen, dass im Jugendalter Barrieren körperlicher Aktivität anhand eines mehrdimensionalen Ansatzes reliabel und valide erfasst werden können. Die vorliegenden Studien bilden die Grundlage, um individuell auf die Barrieren von Jugendlichen zugeschnittene Interventionen zur Steigerung ihrer körperlichen Aktivität zu entwickeln.
References
2009). A comparison of indirect versus direct measures for assessing physical activity in the pediatric population: A systematic review. International Journal of Pediatric Obesity, 4, 2 – 27.
(1985). From intentions to actions: A theory of planned behavior. In J. KuhlJ. BeckmannEds., Action control: From cognition to behavior (pp. 11 – 40). Berlin, Germany: Springer.
(1999). Perceived barriers to physical activity among high school students. Preventive Medicine, 28, 608 – 615.
(1997). Self-efficacy: The exercise of control. New York, NY: Freeman.
(2004). Health promotion by social cognitive means. Health Education and Behavior, 31, 143 – 164.
(2006). Guide for constructing self-efficacy scales. In F. PajaresT. C. UrdanEds., Self-efficacy beliefs of adolescents (pp. 307 – 337). Greenwich, CT: IAP.
(2012). Correlates of physical activity: why are some people physically active and others not? Lancet, 380, 258 – 271.
(2005). Simulation study on fit indices in confirmatory factor analysis based on data with slightly distorted simple structure. Structural Equation Modeling, 12, 41 – 75.
(2011). Correlates of physical activity in youth: A review of quantitative systematic reviews. International Review of Sport and Exercise Psychology, 4, 25 – 49.
(2009). A longitudinal study of the relationship between leisure time physical activity and depressed mood among adolescents. Psychology of Sport and Exercise, 10, 25 – 34.
(1998). Problems in assessing perceived barriers to exercise: Confusing obstacles with attributions and excuses. In J. L. DudaEd., Advances in measurement in sport and exercise psychology (pp. 337 – 350). Morgantown, WV: Fitness Information Technology.
(2005). Measuring perceived benefits and perceived barriers for physical activity. American Journal of Health Behavior, 29, 107 – 116.
(2011). Active travel in Germany and the US. Contributions of daily walking and cycling to physical activity. American Journal of Preventive Medicine, 41, 241 – 250.
(2011). Einführung in die Test- und Fragebogenkonstruktion [Introduction to test construction and questionnaire development]. Munich, Germany: Pearson Studium.
(2003). International physical activity questionnaire: 12-country reliability and validity. Medicine & Science in Sports & Exercise, 35, 1381 – 1395.
(2002). Relative contribution of psychosocial variables to the explanation of physical activity in three population-based adult samples. Preventive Medicine, 34, 279 – 288.
(2002). Tracking and explanation of physical activity in young adults over a 7-year period. Research Quarterly for Exercise and Sport, 73, 376 – 385.
(2011). How physical activity shapes, and is shaped by, adolescent friendships. Social Science & Medicine, 73, 719 – 728.
(2013). Do psychosocial factors moderate the association between neighborhood walkability and adolescents’ physical activity? Social Science & Medicine, 81, 1 – 9.
(1985). Entwicklungsaufgaben im Jugendalter: Bedeutsamkeit und Bewältigungskonzepte [Developmental tasks in adolescence: Meaning and coping concepts]. In D. LiepmannA. StiksrudEds., Entwicklungsaufgaben und Bewältigungsprobleme in der Adoleszenz [Developmental tasks and coping problems in adolescence] (pp. 56 – 70). Göttingen, Germany: Hogrefe.
(2006). Adolescent girls perceived barriers to participation in physical activity. Adolescence, 41, 75 – 89.
(2012). Moderate to vigorous physical activity and sedentary time and cardiometabolic risk factors in children and adolescents. Journal of the American Medical Association, 307, 704 – 712.
(1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4, 272 – 299.
(1994). Konsequenzerwartungen als Determinante des Sport- und Bewegungsverhaltens [Outcome expectations as a determinant of physical exercise]. Zeitschrift für Gesundheitspsychologie, 2, 269 – 291.
(2006). Asthma as a barrier to children’s physical activity: Implications for body mass index and mental health. Pediatrics, 118, 2443 – 2449.
(2009). Using community-based participatory research to identify potential interventions to overcome barriers to adolescents’ healthy eating and physical activity. Journal of Behavioral Medicine, 32, 491 – 502.
(2004). Coping with barriers to vigorous physical activity during transition to university. Family & Community Health, 27, 130 – 142.
(2006). An ecologically based examination of barriers to physical activity in students from grade seven through first-year university. Journal of Adolescent Health, 38, 704 – 711.
(1948). Developmental task and education. Chicago, IL: University of Chicago.
(2006). Using Rasch modeling to re-evaluate three scales related to physical activity: Enjoyment, perceived benefits and perceived barriers. Health Education Research, 21, 58 – 72.
(1988). Leisure constraints: A survey of past research. Leisure Sciences, 10, 203 – 215.
(2010). Systematic review of the health benefits of physical activity and fitness in school-aged children and youth. International Journal of Behavioral Nutrition and Physical Activity, 7 (40).
(1984). The health belief model: A decade later. Health Education Quarterly, 11, 1 – 47.
(2012). Prevalence and socio-demographic correlates of the compliance with the physical activity guidelines in children and adolescents in Germany. BMC Public Health, 12 (714).
(2014). Barrieren, gesundheitsbezogene [Barriers, health-related]. In M. A. WirtzEd., Dorsch–Lexikon der Psychologie [Dorsch–Encyclopedia of psychology] (pp. 238). Bern, Switzerland: Huber.
(2010). Barrieren und Barrierenmanagement im Prozess der Sportteilnahme: Zwei neue Messinstrumente [Barriers and barrier management in physical exercise: Introduction of two new assessment instruments]. Zeitschrift für Gesundheitspsychologie, 18, 170 – 182.
(2011). Validity of the International Physical Activity Questionnaire Short Form (IPAQ-SF): A systematic review. International Journal of Behavioral Nutrition and Physical Activity, 8(115).
(2013). Physical activity in adolescents: Examining influence of the best friend dyad. Journal of Adolescent Health, 52, 752 – 756.
(2012). Effectiveness of intervention on physical activity of children: Systematic review and meta-analysis of controlled trials with objectively measured outcomes. British Medical Journal, 345 (e5888).
(1998 – 2012). Mplus user’s guide (7th ed.). Los Angeles, CA: Muthén & Muthén.
(2008). Moderate-to-vigorous physical activity from ages 9 to 15 years. Journal of the American Medical Association, 300, 295 – 305.
(2011). Overcoming barriers to physical activity: Helping youth be more active. ACSM’s Health and Fitness Journal, 15, 7 – 12.
(2008). A comparison of direct versus self-report measures for assessing physical activity in adults: A systematic review. International Journal of Behavioral and Nutrition and Physical Activity, 5 (56).
(2008). Reliability and validity of two frequently used self-administered physical activity questionnaires in adolescents. BMC Medical Research Methodology, 8 (47).
(2012). Dynamic psychological and behavioral changes in the adoption and maintenance of exercise. Health Psychology, 31, 306 – 315.
(2013). Linking depression symptom trajectories in adolescence to physical activity and team sports participation in young adults. Preventive Medicine, 56, 95 – 98.
(2008). Ecological models of health behavior. In K. GlanzB. K. RimerK. ViswanathEds., Health behavior and health education: Theory, research, and practice (pp. 465 – 485). San Francisco, CA: Wiley.
(2000). A review of correlates of physical activity of children and adolescents. Medicine & Science in Sports & Exercise, 32, 963 – 975.
(2001). A scaled difference χ2 test statistic for moment structure analysis. Psychometrika, 66, 507 – 514.
(2012). Adolescence: A foundation for future health. Lancet, 379, 1630 – 1640.
(2002). Physical activity levels among urban adolescent females. Journal of Pediatric and Adolescent Gynecology, 15, 279 – 284.
(2005). Predicting physical exercise in cardiac rehabilitation: The role of phase-specific self-efficacy beliefs. Journal of Sport & Exercise Psychology, 27, 135 – 151.
(1992). Self-efficacy in the adoption and maintenance of health behaviors: Theoretical approaches and a new model. In R. SchwarzerEd., Self-efficacy: Thought control of action (pp. 217 – 243). Washington, DC: Hemisphere.
(2008). Modeling health behavior change: How to predict and modify the adoption and maintenance of health behaviors. Applied Psychology: An International Review, 57, 1 – 29.
(2011). Mechanisms of health behavior change in persons with chronic illness or disability: The Health Action Process Approach (HAPA). Rehabilitation Psychology, 56, 161 – 170.
(2000). Social-cognitive predictors of health behavior: Action self-efficacy and coping self-efficacy. Health Psychology, 19, 487 – 495.
(2009). Activity and barriers in girls (8 – 16 yr) based on grade and maturity status. Medicine & Science in Sports & Exercise, 41, 87 – 95.
(2010). “Uncool to do sport”: A focus group study of adolescent girls’ reasons for withdrawing from physical activity. Psychology of Sports and Exercise, 11, 619 – 626.
(2009). Physical activity in women: Effects of a self-regulation intervention. American Journal of Preventive Medicine, 36, 29 – 34.
(2008). Physical activity in the United States measured by accelerometer. Medicine & Science in Sports & Exercise, 40, 181 – 188.
(2011). Determinants of physical activity and sedentary behaviour in young people: A review and quality synthesis of prospective studies. British Journal of Sports Medicine, 45, 896 – 905.
(2007). A brief review on correlates of physical activity and sedentariness in youth. Medicine & Science in Sports & Exercise, 39, 1241 – 1250.
(2008). Adolescent girls’ perceptions of physical activity: A focus group study. European Physical Education Review, 14, 243 – 262.
(2011). Why some do but most don’t. Barriers and enablers to engaging low-income groups in physical activity programmes: A mixed methods study. BMC Public Health, 11 (507).
(2010). Adolescents’ physical activity: Competition between perceived neighborhood sport facilities and home media resources. International Journal of Pediatric Obesity, 5, 169 – 176.
(2010). Global recommendations on physical activity for health. Geneva, Switzerland: World Health Organization.
(