Development and psychometric properties of the Y-PASS questionnaire to assess correlates of lunchtime and after-school physical activity in children

BMC Public Health

Volumn 14, Issue 1, 2014, Pages

  Stanley, Rebecca M ^a   Ridley, Kate ^b   Olds, Timothy S ^a   Dollman, James ^a  

^a UNIVERSITY OF SOUTH AUSTRALIA   (Australia)

^b School of Education   (Australia)

Author keywords

After school; Children; Lunchtime; Physical activity; Psychometric properties; Questionnaire development; Reliability; Validity

Indexed keywords

ATTITUDE; AUSTRALIA; CHILD; ENVIRONMENT; EXERCISE; FACTORIAL ANALYSIS; FEMALE; HUMAN; INFORMATION PROCESSING; MALE; MEAL; MOTOR ACTIVITY; POLICY; PSYCHOLOGY; PSYCHOMETRY; QUESTIONNAIRE; REPRODUCIBILITY; SCHOOL; SOCIAL ENVIRONMENT; STANDARDS; VALIDATION STUDY;

ATTITUDE; AUSTRALIA; CHILD; DATA COLLECTION; ENVIRONMENT; EXERCISE; FACTOR ANALYSIS, STATISTICAL; FEMALE; HUMANS; LUNCH; MALE; MOTOR ACTIVITY; POLICY; PSYCHOMETRICS; QUESTIONNAIRES; REPRODUCIBILITY OF RESULTS; SCHOOLS; SOCIAL ENVIRONMENT;

EID: 84902011157     PISSN: None     EISSN: 14712458     Source Type: Journal    
DOI: 10.1186/1471-2458-14-412     Document Type: Article

References (72)

1. Understanding physical activity environmental correlates: increased specificity for ecological models. Giles-Corti B, Timperio A, Bull F, Pikora T, Exerc Sport Sci Rev 2005 33 175 181 10.1097/00003677-200510000-00005 16239834 (Pubitemid 41513201)
2. Social support for youth physical activity: importance of siblings, parents, friends and school support across a segmented school day. Hohepa M, Scragg R, Schofield G, Kolt GS, Schaaf D, Int J Behav Nutr Phys Act 2007 4 54 10.1186/1479-5868-4-54 17996070
3. Psycho-social and environmental correlates of location-specific physical activity among 9- and 15- year-old Norwegian boys and girls: the European Youth Heart Study. Ommundsen Y, Klasson-Heggebo L, Anderssen SA, Int J Behav Nutr Phys Act 2006 3 32 10.1186/1479-5868-3-32 16999865 (Pubitemid 44541893)
4. Toward a better understanding of the influences on physical activity: the role of determinants, correlates, causal variables, mediators, moderators, and confounders. Bauman AE, Sallis JF, Dzewaltowski DA, Owen N, Am J Prev Med 2002 23 5 14 10.1016/S0749-3797(02)00469-5 12133733 (Pubitemid 34831668)
5. Mediating variable framework in physical activity interventions. How are we doing? How might we do better? Baranowski T, Anderson C, Carmack C, Am J Prev Med 1998 15 266 297 10.1016/S0749-3797(98)00080-4 9838973 (Pubitemid 28521117)
6. A review of correlates of physical activity of children and adolescents. Sallis JF, Prochaska JJ, Taylor WC, Med Sci Sports Exerc 2000 32 963 975 10795788 (Pubitemid 30230679)
7. Environmental influences on exercise intensity and duration in a U.S. time use study. Dunton GF, Berrigan D, Ballard-Barbash R, Graubard BI, Atienza AA, Med Sc Sports Exerc 2009 41 1698 1705 10.1249/MSS.0b013e3181a06c9b
8. Development and reliability of a self-report questionnaire to examine children's perceptions of the physical activity environment at home and in the neighbourhood. Hume C, Ball K, Salmon J, Int J Behav Nutr Phys Act 2006 3 16 10.1186/1479-5868-3-16 16846519 (Pubitemid 44251874)
9. Environmental and safety barriers to youth physical activity in neighborhood parks and streets: reliability and validity. Durant N, Kerr J, Harris S, Saelens B, Norman GJ, Sallis J, Ped Exerc Sci 2009 21 86 99
10. Development of a questionnaire assessing school physical activity environment. Robertson-Wilson J, Levesque L, Holden RR, Meas Phys Educ Exerc Sci 2007 11 93 107 10.1080/10913670701294088 (Pubitemid 46883956)
11. Girls' perception of physical environmental factors and transportation: Reliability and association with physical activity and active transport to school. Evenson KR, Birnbaum AS, Bedimo-Rung AL, Sallis JF, Voorhees CC, Ring K, Elder JP, Int J Behav Nutr Phys Act 2006 3 28 34 10.1186/1479-5868-3-28 16972999 (Pubitemid 44566651)
12. Scale construction for measuring adolescent boys' and girls' attitudes, beliefs, perception of control, and intention to engage in leisure-time physical activity. Kerner MS, Kalinski MI, Percept Mot Skills 2002 95 109 117 10.2466/pms.2002.95.1.109 12365245
13. Development of a questionnaire to measure achievement orientations in physical education. Papaioannou A, Res Q Exerc Sport 1994 65 11 20 10.1080/02701367.1994.10762203 8184207
14. Physical activity: what do high school students think? Hohepa M, Schofield G, Kolt GS, J Adolesc Health 2006 39 328 336 10.1016/j.jadohealth. 2005.12.024 16919793 (Pubitemid 44224125)
15. Multiple methods in qualitative research with children: more insight or just more? Darbyshire P, MacDougall C, Schiller W, Qual Res 2005 5 417 436 10.1177/1468794105056921 (Pubitemid 41622721)
16. Children as respondents: methods for improving data quality. Scott J, Survey Measurement and Process Quality New York, USA: Wiley, Lyberg L, 1997 331 350
17. The Youth Physical Activity Promotion Model: a conceptual bridge between theory and practice. Welk G, Quest 1999 15 5 23
18. Effects of physical activity interventions in youth: review and synthesis. Stone EJ, McKenzie TL, Welk GJ, Booth ML, Am J Prev Med 1998 15 298 315 10.1016/S0749-3797(98)00082-8 9838974 (Pubitemid 28521118)
19. Sociocultural correlates of physical activity in children and adolescents: findings from the Danish arm of the European Youth Heart study. McMinn AM, van Sluijs EM, Wedderkopp N, Froberg K, Griffin SJ, Pediatr Exerc Sci 2008 20 319 332 18714121
20. Factorial invariance and latent mean structure of questionnaires measuring social-cognitive determinants of physical activity among black and white adolescent girls. Dishman RK, Motl RW, Saunders RP, Dowda M, Felton G, Ward DS, Pate RR, Prev Med 2002 34 100 108 10.1006/pmed.2001.0959 11749102 (Pubitemid 34971529)
21. Cross-cultural, age and gender validation of a computerised questionnaire measuring personal, social and environmental associations with children's physical activity: the European Youth Heart Study. Ommundsen Y, Page A, Ku PW, Cooper AR, Int J Behav Nutr Phys Act 2008 5 29 10.1186/1479-5868-5-29 18489736 (Pubitemid 351877812)
22. A structural model of health behavior: a pragmatic approach to explain and influence health behaviors at the population level. Cohen DA, Scribner RA, Farley TA, Prev Med 2000 30 146 154 10.1006/pmed.1999.0609 10656842 (Pubitemid 30094246)
23. Toward a comprehensive model of physical activity. Spence JC, Lee RE, Psych of Sport Ex 2003 4 7 24 10.1016/S1469-0292(02)00014-6
24. Ecological models of health behaviour. Sallis J, Owen N, Fisher E, Health Behaviour and Health Education: Theory, Research, and Practice San Francisco: Jossey-Bass Publishers, Glanz K, Rimer B, Viswanath K, Orleans C, 2008 465 485
25. Development of questionnaires to measure physical activity cognitions among Taiwanese adolescents. Wu TY, Ronis DL, Pender N, Jwo JL, Prev Med 2002 35 54 64 10.1006/pmed.2002.1049 12079441 (Pubitemid 34762086)
26. How can we stay healthy when you're throwing all of this in front of us? Findings from focus groups and interviews in middle schools on environmental influences on nutrition and physical activity. Bauer KW, Yang YW, Austin SB, Health Educ Behav 2004 31 34 46 10.1177/1090198103255372 14768656 (Pubitemid 38581739)
27. Research methods in sport and exercise psychology: quantitative and qualitative issues. Biddle SJ, Markland D, Gilbourne D, Chatzisarantis NL, Sparkes AC, J Sports Sci 2001 19 777 809 10.1080/026404101317015438 11561674 (Pubitemid 32825578)
28. Emerging measurement and statistical methods in physical activity research. Masse LC, Dassa C, Gauvin L, Giles-Corti B, Motl R, Am J Prev Med 2002 23 44 s55 10.1016/S0749-3797(02)00473-7 (Pubitemid 34831672)
29. Children's physical activity during recess and outside of school. Beighle A, Morgan CF, Le Masurier G, Pangrazi RP, J Sch Health 2006 76 516 520 10.1111/j.1746-1561.2006.00151.x 17096825 (Pubitemid 44707095)
30. Patterns of daily physical activity during school days in children and adolescents. Mota J, Santos P, Guerra S, Ribeiro J, Duarte J, Am J Hum Biol 2003 15 547 553 10.1002/ajhb.10163 12820196 (Pubitemid 36818003)
31. Sample size in factor analysis. MacCallum RC, Widaman KF, Zhang S, Hong S, Psychol Methods 1999 4 84 99
32. Hutcheson G, Sofroniou N, The Multivariate Social Scientist: Introductory Statistics using Generalized Linear Models Thousand Oaks, CA: Sage Publications 1999
33. Lawley DN, Maxwell AE, Factor Analysis as a Statistical Method London: Butterworth and Co 1971
34. Test-retest reliability of a preadolescent environmental access to physical activity questionnaire. Erwin HE, J Phys Act Health 2008 5 62 s72 18364526
35. Comparability and reliability of paper- and computer-based measures of psychosocial constructs for adolescent physical activity and sedentary behaviors. Norman GJ, Sallis JF, Gaskins R, Res Q Exerc Sport 2005 76 315 323 10.1080/02701367.2005.10599302 16270708 (Pubitemid 41445153)
36. Frazer L, Lawley M, Questionnaire Design and Administration John Wiley & Sons Australia, Ltd: Milton, Queensland 2000
37. DeVellis RF, Scale Development: Theory and Applications Thousand Oaks, CA: Sage Publications 2003
38. Streiner D, Norman GR, Health Measurement Scales: A Practical Guide to their Development and Use New York: Oxford University Press Inc 4 2008
39. Correlates of children's time-specific physical activity: A review of the literature. Stanley RM, Ridley K, Dollman J, Int J Behav Nutr Phys Act 2012 9 50 10.1186/1479-5868-9-50 22546218
40. A qualitative exploration of the «critical window»: factors affecting Australian children's after school physical activity. Stanley RM, Boshoff K, Dollman J, J Phys Act Health 2012 10 33 41 22397802
41. Voices in the playground: a qualitative exploration of the barriers and facilitators of lunchtime play. Stanley RM, Boshoff K, Dollman J, J Sci Med Sport 2012 15 44 51 21940211
42. Development of scales to assess children's perceptions of friend and parental influences on physical activity. Jago R, Fox K, Page A, Brockman R, Thompson J, Int J Behav Nutr Phys Act 2009 6 67 10.1186/1479-5868-6-67 19821970
43. Development and validation of psychosocial determinants measures of physical activity among Iranian adolescent girls. Pirasteh A, Hidarnia A, Asghari A, Faghihzadeh S, Ghofranipour F, BMC Public Health 2008 8 150 10.1186/1471-2458-8-150 18462488 (Pubitemid 351749366)
44. Development of questionnaires to measure psychosocial influences on children's physical activity. Saunders RP, Pate RR, Felton G, Dowda M, Weinrich MC, Ward DS, Parsons MA, Baranowski T, Prev Med 1997 26 241 247 10.1006/pmed.1996.0134 9085394 (Pubitemid 27184613)
45. Validation of a maternal questionnaire on correlates of physical activity in preschool children. McMinn AM, van Sluijs EM, Harvey NC, Cooper C, Inskip HM, Godfrey KM, Griffin SJ, Int J Behav Nutr Phys Act 2009 6 81 10.1186/1479-5868-6-81 19954524
46. Item nonresponse in questionnaire research with children. Borgers N, Hox J, J Official Stats 2001 17 321 335
47. Correlates of vigorous physical activity for children in grades 1 through 12: comparing parent-reported and objectively measured physical activity. Sallis J, Taylor W, Dowda M, Pediatr Exerc Sci 2002 14 30 44 (Pubitemid 34127010)
48. Index aims for fair ranking of scientists. Ball P, Nature 2005 436 900 10.1038/436900a 16107806 (Pubitemid 41191649)
49. Pretesting questionnaires for children and adolescents. De Leeuw E, Borgers N, Smits A, Methods for Testing and Evaluating Survey Questionnaires Hoboken, NJ, USA: John Wiley & Sons, Inc, Presser S, Rothgeb JM, Couper MP, Lessler JT, Martin E, Martin J, Singer E, 2004
50. Methods for testing and evaluating survey questions. Presser S, Couper MP, Lessler JT, Martin E, Martin J, Rothgeb JM, Singer E, Public Opin Q 2004 68 109 130 10.1093/poq/nfh008 (Pubitemid 38750631)
51. A new readability yardstick. Flesch R, J Appl Psychol 1948 32 221 233 18867058
52. The application of electronic computers to factor analysis. Kaiser HF, Educ Psychol Meas 1960 20 141 151 10.1177/001316446002000116
53. The scree test for the number of factors. Cattell RB, Multivariate Behav Res 1966 1 245 276 10.1207/s15327906mbr0102-10
54. The sources of four commonly reported cutoff criteria: what did they really say? Lance CE, Butts MM, Michaels LC, Organ Res Meth 2006 9 202 220 10.1177/1094428105284919 (Pubitemid 43907720)
55. Hair J, Anderson R, Tatham R, Black W, Multivariate Data Analysis New Jersey: Prentice-Hall Ince 5 1998
56. Pett M, Lackey N, Sullivan J, Making Sense of Factor Analysis: The Use of Factor Analysis for Instrument Development in Health Care Research Thousand Oaks, California: SAGE Publications 2003
57. Norman GR, Streiner DL, Biostatistics: the Bare Essentials St Louis: People's Medical Publishing House 1994
58. An application of hierarchical kappa-type statistics in the assessment of majority agreement among multiple observers. Landis JR, Koch GG, Biometrics 1977 33 363 374 10.2307/2529786 884196 (Pubitemid 8131514)
59. Altman D, Practical Statistics for Medical Research London, UK: Chapman & Hall 1991
60. Pallant J, SPSS Survival Manual Australia: Allen & Unwin 4 2011
61. Tabachnick BG, Fidell LS, Using Multivariate Statistics Boston: Allyn & Bacon 4 2001
62. Nunnally JC, Psychometric Theory New York: McGraw-Hill 2 1978
63. Portney L, Watkins M, Foundations fo Clinical Research: Applications to Practice New Jersey, U.S.A: Prentice-Hall Inc 2000
64. Reliability and validity of a school-based physical activity questionnaire. Wong SL, Leatherdale ST, Manske SR, Med Sci Sports Exerc 2006 38 1593 1600 10.1249/01.mss.0000227539.58916.35 16960520 (Pubitemid 44373778)
65. Evaluation of a community-based intervention to promote physical activity in youth: Lessons from active winners. Pate RR, Saunders RP, Ward DS, Felton G, Trost SG, Dowda M, Am J Health Promot 2003 17 171 182 10.4278/0890-1171-17.3. 171 12545585 (Pubitemid 36091355)
66. A prospective study of the determinants of physical activity in rural fifth-grade children. Trost SG, Pate RR, Saunders R, Ward DS, Dowda M, Felton G, Prev Med 1997 26 257 263 10.1006/pmed.1996.0137 9085396 (Pubitemid 27184615)
67. Development of a questionnaire to assess knowledge, attitudes, and behaviors in American Indian children. Stevens J, Cornell CE, Story M, French SA, Levin S, Becenti A, Gittelsohn J, Going SB, Reid R, Am J Clin Nutr 1999 69 773 781
68. Children as respondents in survey research: Cognitive development and response quality. Borgers N, de Leeuw E, Hox J, Bull Methodol Sociol 2000 66 60 75 10.1177/075910630006600106
69. Factorial validity and invariance of questionnaires measuring social-cognitive determinants of physical activity among adolescent girls. Motl RW, Dishman RK, Trost SG, Saunders RP, Dowda M, Felton G, Ward DS, Pate RR, Prev Med 2000 31 584 594 10.1006/pmed.2000.0735 11071840
70. Personal, family, social, and environmental correlates of active commuting to school. Timperio A, Ball K, Salmon J, Roberts R, Giles-Corti B, Simmons D, Baur LA, Crawford D, Am J Prev Med 2006 30 45 51 10.1016/j.amepre. 2005.08.047 16414423 (Pubitemid 43083544)
71. Psychometric assessment of the adolescent physical activity perceived benefits and barriers scales. Robbins LB, Wu TY, Sikorskii A, Morley B, J Nurs Meas 2008 16 98 112 10.1891/1061-3749.16.2.98 18939715
72. The relationship between unsupervised time after school and physical activity in adolescent girls. Rushovich BR, Voorhees CC, Davis CE, Neumark-Sztainer D, Pfeiffer KA, Elder JP, Going S, Marino VG, Int J Behav Nutr Phys Act 2006 3 20 29 10.1186/1479-5868-3-20 16879750 (Pubitemid 44309015)