A social ecological assessment of physical activity among urban adolescents

American Journal of Health Behavior

Volumn 38, Issue 3, 2014, Pages 379-391

  Yan, Alice Fang ^a   Voorhees, Carolyn C ^b   Beck, Kenneth H ^b   Wang, Min Qi ^b  

^a UNIVERSITY OF WISCONSIN MILWAUKEE   (United States)

^b UNIVERSITY OF MARYLAND   (United States)

Author keywords

African American; High school students; Neighborhood environment; Physical activity contexts; Social ecological assessment

Indexed keywords

ADOLESCENT; AFRICAN AMERICAN; ARTICLE; CAUCASIAN; CONFIDENCE INTERVAL; DEMOGRAPHY; EXERCISE; FEMALE; HEALTH BEHAVIOR; HUMAN; MALE; RISK; SEX DIFFERENCE; SOCIAL ENVIRONMENT; STATISTICAL MODEL; UNITED STATES; URBAN POPULATION;

ADOLESCENT; AFRICAN AMERICANS; BALTIMORE; CONFIDENCE INTERVALS; EUROPEAN CONTINENTAL ANCESTRY GROUP; EXERCISE; FEMALE; HEALTH BEHAVIOR; HUMANS; LIKELIHOOD FUNCTIONS; LOGISTIC MODELS; MALE; ODDS RATIO; RESIDENCE CHARACTERISTICS; SEX FACTORS; SOCIAL ENVIRONMENT; URBAN POPULATION;

EID: 84892576181     PISSN: 10873244     EISSN: 19457359     Source Type: Journal    
DOI: 10.5993/AJHB.38.3.7     Document Type: Article

References (71)

1. US Department of Health and Human Services. Physical Activity Guidelines for Americans. Washington, DC: US Department of Health and Human Services; 2008.
2. van der Ploeg HP, Merom D, Chau JY, et al. Advances in population surveillance for physical activity and sedentary behavior: reliability and validity of time use surveys. Am J Prev Med. 2010;172(10):1199-1207.
3. Kimm S, Glynn N, Kriska AM, Barton B. Decline in physical activity in black girls and white girls during adolescence. N Engl J Med. 2002;347(10):709-715.
4. National Center for Health Statistics. Health, United States, 2002. Hyattsville, MD: National Center for Health Statistics; 2002.
5. Romero A. Low-income neighborhood barriers and resources for adolescents' physical activity. J Adolesc Health. 2005;36:253-259.
6. Sallis JF, Cervero R, Ascher W, et al. An ecological approach to creating active living communities. Annu Rev Public Health. 2006;27:297-322.
7. Stokols D. Social ecology and behavioral medicine: implications for training, practice, and policy. Behav Med. 2000;26:129-138.
8. Stokols D. Translating social ecological theory into guidelines for community health promotion. Am J Health Promot. 1996;10:282-298.
9. Cohen J. Statistical Power Analysis for the Behavioral Sciences. 2nd ed. Hillsdale, NJ: Lawrence Erlbaum; 1988.
10. Zhu W. Physical activity space: an overview. American Alliance for Health, Physical Education, Recreation and Dance (AAHPERD) National Convention & Exposition; New Orleans, LA; 2004:601-608.
11. Saarloos D, Kim J-E, Timmermans H. The built environment and health: introducing individual space-time behavior. Int J Environ Res Public Health. 2009;6:1724-1743.
12. de Farias Júnior JC, da Silva Lopes A, Mota J, et al. Perception of the social and built environment and physical activity among Northeastern Brazil adolescents. Prev Med. 2011;52(2):114-119.
13. Booth ML, Bauman A, Owen N, Gore CJ. Physical activity preferences, preferred sources of assistance, and perceived barriers to increased activity among physically inactive Australians. Prev Med. 1997;26(1):131-137.
14. Fitzgerald A, Fitzgerald N, Aherne C. Do peers matter? A review of peer and/or friends' influence on physical activity among American adolescents. J Adolesc. 2012;35(4):941-958.
15. Myers L, Strikmiller PK, Webber LS, Berenson GS. Physical and sedentary activity in school children grades 5-8: the Bogalusa Heart Study. Med Sci Sports Exerc. 1996;28:852-859.
16. Ross JG, Gilbert GG. The national children and youth fitness study: a summary of findings. J Physical Educ Recreat Dance. 1985;56(Suppl 1):45-50.
17. Courneya KS, McAuley E. Are there different determinants of the frequency, intensity, and duration of physical activity? Behav Med. 1994;20(2):84-90.
18. Eaton DK, Kann L, Kinchen S, et al. Youth risk behavior surveillance -United States, 2011. MMWR Surveill Summ. 2012;61(4):1-162.
19. US Department of Health and Human Services. Healthy People 2020 (online). Available at: http://www.healthypeople. gov/2020/topicsobjectives2020/overview. aspx?topicid=33. Accessed June 12, 2013.
20. Sallis JF, Linton LS, Kraft MK. The first Active Living Research Conference: growth of a transdisciplinary field. Am J Prev Med. 2005;28(2) :93-95.
21. Ainsworth BE, Haskell WL, Whitt MC, et al. Compendium of physical activities: an update of activity codes and MET intensities. Med Sci Sports Exerc. 2000;32(suppl 9):S498-S516.
22. Dunton GF, Whalen CK, Jamner LD, Floro JN. Mapping the social and physical contexts of physical activity across adolescence using ecological momentary assessment. Ann Behav Med. 2007;34(2):144-153.
23. Anderson CB, Hagströmer M, Yngve A. Validation of the PDPAR as an adolescent diary: effect of accelerometer cut points. Med Sci Sports Exerc. 2005;37(7):1224-1230.
24. Purslow L, Hill C, Saxton J, et al. Differences in physical activity and sedentary time in relation to weight in 8-9 year old children. Int J Behav Nutr Phys Act. 2008;5(1):67.
25. McLeroy KR, Bibeau D, Steckler A, Glanz K. An ecological perspective on health promotion programs. Health Educ Q. 1988;15:351-377.
26. Yan AF, Voorhees CC, Zhang GY, et al.. A multilevel investigation on the socio-demographic and urban neighborhood effects on out of school physical activity among inner city minority adolescents. American Journal of Health Studies. 2011;26(3):121-130.
27. Yan AF, Voorhees CC, Clifton KJ, Burnier C. "Do you see what I see?" -Correlates of multidimensional measures of neighborhood form and perceived physical activity related neighborhood barriers and facilitators in minority youth. Prev Med. 2010;50:S18-S23.
28. Voorhees CC, Catellier DJ, Ashwood JS, et al. Neighborhood socioeconomic status and non school physical activity and body mass index in adolescent girls. J Phys Act Health. 2009;6:731-740.
29. Ries AV, Voorhees CC, Gittelsohn J, et al. Adolescents' perceptions of environmental influences on physical activity. Am J Health Behav. 2008;32(1):26-39.
30. Pate R, Ross R, Dowda M, et al. Validation of a 3-day physical activity recall instrument in female youth. Pediatr Exerc Sci. 2003;15:257-265.
31. Stanley R, Boshoff K, Dollman J. The concurrent validity of the 3-day physical activity recall questionnaire administered to female adolescents aged 12-14 years. Aust Occup Ther J. 2007;54:294-302.
32. Lee KS, Trost SG. validity and reliability of the 3-day physical activity recall in Singaporean adolescents. Res Q Exerc Sport. 2005;76(1):101-106.
33. Rachele JN, McPhail SM, Washington TL, Cuddihy TF. Practical physical activity measurement in youth: a review of contemporary approaches. World J Pediatr. 2012;8(3):207-216.
34. Pietro LD, Dziura J, Blair SN. Estimated change in physical activity level (PAL) and prediction of 5-year weight change in men: the Aerobics Center Longitudinal Study. Int J Obes. 2004;28:1541-1547.
35. Del Duca GF, Nahas MV, de Sousa TF, et al. Clustering of physical inactivity in leisure, work, commuting and household domains among Brazilian adults. Public Health. 2013;127(6):530-537.
36. Trost SG, Sallis JF, Pate RR, et al. Evaluating a model of parental influence on youth physical activity. Am J Prev Med. 2003;25(4):277-282.
37. Ainsworth BE, Wilcox S, Thompson WW, et al. Personal, social, and physical environmental correlates of physical activity in African-American women in South Carolina. Am J Prev Med. 2003;25(3, Supplement 1):S23-S29.
38. Pate RR, Freedson PS, Sallis J, et al. Complicance with physical activity guidelines: prevalence in a population of children and youth. Ann Epidemiol. 2002;12:303-308.
39. Treuth MS, Schmitz KH, Catellier DJ. Defining accelerometer thresholds for activity intensities in adolescent girls. Med Sci Sports Exerc. 2004;36(7):1259-1266.
40. Trost SG, Loprizi PD, Moore R, Pfeiffer KA. Comparison of accelerometer cut points for predicting activity intensity in youth. Med Sci Sports Exerc. 2011;43(7):1360-1368.
41. Mâsse LC, Fuemmeler BF, Anderson CB, et al. Accelerometer data reduction: a comparison of four reduction algorithms on select outcome variables. Med Sci Sports Exerc. 2005;37(11 Suppl):S544-S554.
42. Saksvig BI, Catellier DJ, Pfeiffer K, et al. Travel by walking before and after school and physical activity among adolescent girls. Arch Pediatr Adolesc Med. February 2007;161(2):153-158.
43. Jackson DM, Reilly JJ, Kelly LA, et al. Objectively measured physical activity in a representative sample of 3-to 4-year-old children. Obes Res. 2003;11:420-425.
44. Gordon C, Chumlea WC, Roche AF. Stature, Recumbent Length, and Weight. Champaign: IL: Human Kinetics; 1988.
45. Kuczmarski RJ, Ogden CL, Guo SS, et al. 2000 CDC growth charts for the United States: methods and development. Vital Health Stat. 2002;11(246):1-190.
46. Kuo J, Schmitz K, Evenson K, et al. Physical and social contexts of physical activities among adolescent girls. J Phys Act Health. 2009;6:144-152.
47. LeCheminant J, Tucker L, Russell K. Physical activity and c-reactive protein levels: the confounding role of body fat. J Phys Act Health.2011;8(4):481-487.
48. Plotnikoff RC, Johnson ST, Loucaides CA, et al. Population-based estimates of physical activity for adults with type 2 diabetes: a cautionary tale of potential confounding by weight status. J Obes. 2011;2011:1-5.
49. Liang KY, Zeger SL. Longitudinal data analysis using generalized linear models. Biometrika. 1986;73:13-22.
50. Ma Y, Mazumdar M, Memtsoudis SG. Beyond repeated-measures analysis of variance: advanced statistical methods for the analysis of longitudinal data in anesthesia research. Reg Anesth Pain Med. 2012;37(1):99-105.
51. DeSouza CM, Legedza AT, Sankoh AJ. An overview of practical approaches for handling missing data in clinical trials. J Biopharm Stat. 2009;19(6):1055-1073.
52. Ries AV, Yan AF, Voorhees CC. The neighborhood recreational environment and physical activity among urban youth: an examination of public and private recreational facilities. J Community Health. 2011;36:640-649.
53. Whitt-Glover MC, Taylor WC, Floyd M, et al. Disparities in physical activity and sedentary behaviors among us children and adolescents: prevalence, correlates, and intervention implications. J Public Health Policy. 2009;30:S309-S334.
54. Odoms-Young AM, Fitzgibbon M. Familial and environmental factors that contribute to pediatric overweight in African American population: Implications for prevention and treatment. Prog Pediatr Cardiol. 2008;25:147-151.
55. Nelson N, Foley E, O'Gorman D, et al. Active commuting to school: how far is too far? Int J Behav Nutr Phys Act. 2008;5(1):1.
56. Boarnet MG, Anderson CL, Day K, et al. Evaluation of the California Safe Routes to School legislation: urban form changes and children's active transportation to school. Am J Prev Med. 2005;28(2):134-140.
57. Carver A, Timperio AF, Hesketh KD, et al. How is active transport associated with children's and adolescents' physical activity over time? Int J Behav Nutr Phys Act. 2011;8.
58. Dowda M, Pfeiffer K, Dishman RK, Pate RR. Associations among physical activity, health indicators, and employment in 12th grade girls. J Womens Health. 2007;16(9):1331-1339.
59. Ries AV, Gittelsohn J, Voorhees CC, et al. The environment and urban adolescents' use of recreational facilities for physical activity: a qualitative study. Am J Health Promot. 2008;23(1):43-50.
60. Motl RW, Dishman RK, Saunders RP, et al. Perceptions of physical and social environment variables and selfefficacy as correlates of self-reported physical activity among adolescent girls. J Pediatr Psychol. January 1, 2007;32(1):6-12.
61. Jago R, Baranowski T, Baranowski JC. Observed, GIS, and self-reported environmental features and adolescent physical activity. Am J Health Promot. 2006;20:422-428.
62. Trost SG, Pate RR, Sallis JF, et al. Age and gender differences in objectively measured physical activity in youth. Med Sci Sports Exerc. 2002;34(2):350-355.
63. Weston AT, Petosa R, Pate RR. Validity of an instrument for measurement of physical activity in youth. Med Sci Sports Exerc. 1997;29(1):138-143.
64. Westerterp KR. Obesity and physical activity. Int J Obes Relat Metab Disord. 1999;23:59-64.
65. Hsu YW, Belcher BR, Ventura EE, et al. Physical activity, sedentary behavior, and the metabolic syndrome in minority youth. Med Sci Sports Exerc. 2011;43(12):2307-2313.
66. Trost SG, Pate RR, Freedson PS, et al. Using objective physical activity measures with youth: how many days are needed? Med Sci Sports Exerc. 2000;32:426-431.
67. Varni J, Limbers C, Burwinkle T. How young can children reliably and validly self-report their health-related quality of life?: An analysis of 8,591 children across age subgroups with the PedsQLTM 4.0 Generic Core Scales. Health Qual Life Outcomes. 2007;5(1):1.
68. Staunton CE, Hubsmith D, Kallins W. Promoting safe walking and biking to school: the Marin County success story. Am J Public Health. 2003;93(9):1431- 1434.
69. Cooper AR, Andersen LB, Wedderkopp N, et al. Physical activity levels of children who walk, cycle, or are driven to school. Am J Prev Med. 2005;29(3):179-184.
70. Alexander LM, Inchley J, Todd J, et al. The broader impact of walking to school among adolescents: seven day accelerometry based study. BMJ. 2005;331(7524):1061-1062.
71. Hager E, Witherspoon DO, Gormley C, et al. The Perceived and Built Environment Surrounding Urban Schools and Physical Activity Among Adolescent Girls. Ann Behav Med. 2013;45(Suppl 1):S68-S75.