Predictors of healthier and more sustainable school travel mode profiles among Hong Kong adolescents.


Journal

The international journal of behavioral nutrition and physical activity
ISSN: 1479-5868
Titre abrégé: Int J Behav Nutr Phys Act
Pays: England
ID NLM: 101217089

Informations de publication

Date de publication:
28 05 2019
Historique:
received: 10 01 2019
accepted: 03 05 2019
entrez: 30 5 2019
pubmed: 30 5 2019
medline: 19 11 2019
Statut: epublish

Résumé

Adolescent travel mode choices to/from school vary in their physical activity (PA) component and environmental sustainability. Research has typically focussed on correlates of active travel, the most healthy and sustainable mode, in comparison to other modes combined. Under the premise that a small shift from less to more healthy/sustainable modes may be a more feasible than a shift to 'pure' active travel (e.g., walking), we examined potential correlates of the odds of undertaking more vs. less healthy/sustainable modes. Hong Kong adolescents attending secondary school and a parent/caregiver (n = 1299 dyads) participated in this cross-sectional study. Latent profile analyses identified groups of adolescents with different transport mode profiles to/from school. Profiles were ranked based on relative PA/sustainability outcomes. Multilevel logistic regression identified environmental, social and psychological factors associated with more vs. less PA/sustainable transport mode profiles to/from school. Most frequent transport modes were walking and public transport. Latent profile analysis resulted in a 7-profile model (walk (n = 430); walk & public transport (n = 93); public transport (n = 486); bicycle, car & taxi (n = 60); school bus to & public transport from school (n = 54); school bus (n = 106); car to & car/public transport from school (n = 70)). All profile comparisons were associated with at least one environmental variable. School proximity, access to services and parent transport-related PA were generally associated with higher odds of healthier-more sustainable transport modes. Adolescent-perceived distance and effort barriers to walking and cycling were generally associated with lower odds of more healthy/sustainable modes. Most adolescents engaged in relatively healthy/sustainable travel modes to/from school. Public transport to walking and school bus to public transport mode shifts are likely to have the biggest impact towards more healthy/sustainable modes. Encouraging parent-related transport PA may positively influence adolescent mode choice. Relatively dense, destination-rich neighbourhoods may encourage more healthy/sustainable transport modes to/from school by providing easy access to schools and services. Government policy encouraging enrolment in the closest local school and private school encouragement of public transport rather than school buses may have the greatest impact on shifts to more healthy/sustainable transport modes to/from school in Hong Kong adolescents.

Sections du résumé

BACKGROUND
Adolescent travel mode choices to/from school vary in their physical activity (PA) component and environmental sustainability. Research has typically focussed on correlates of active travel, the most healthy and sustainable mode, in comparison to other modes combined. Under the premise that a small shift from less to more healthy/sustainable modes may be a more feasible than a shift to 'pure' active travel (e.g., walking), we examined potential correlates of the odds of undertaking more vs. less healthy/sustainable modes.
METHODS
Hong Kong adolescents attending secondary school and a parent/caregiver (n = 1299 dyads) participated in this cross-sectional study. Latent profile analyses identified groups of adolescents with different transport mode profiles to/from school. Profiles were ranked based on relative PA/sustainability outcomes. Multilevel logistic regression identified environmental, social and psychological factors associated with more vs. less PA/sustainable transport mode profiles to/from school.
RESULTS
Most frequent transport modes were walking and public transport. Latent profile analysis resulted in a 7-profile model (walk (n = 430); walk & public transport (n = 93); public transport (n = 486); bicycle, car & taxi (n = 60); school bus to & public transport from school (n = 54); school bus (n = 106); car to & car/public transport from school (n = 70)). All profile comparisons were associated with at least one environmental variable. School proximity, access to services and parent transport-related PA were generally associated with higher odds of healthier-more sustainable transport modes. Adolescent-perceived distance and effort barriers to walking and cycling were generally associated with lower odds of more healthy/sustainable modes.
DISCUSSION
Most adolescents engaged in relatively healthy/sustainable travel modes to/from school. Public transport to walking and school bus to public transport mode shifts are likely to have the biggest impact towards more healthy/sustainable modes. Encouraging parent-related transport PA may positively influence adolescent mode choice. Relatively dense, destination-rich neighbourhoods may encourage more healthy/sustainable transport modes to/from school by providing easy access to schools and services.
CONCLUSION
Government policy encouraging enrolment in the closest local school and private school encouragement of public transport rather than school buses may have the greatest impact on shifts to more healthy/sustainable transport modes to/from school in Hong Kong adolescents.

Identifiants

pubmed: 31138203
doi: 10.1186/s12966-019-0807-4
pii: 10.1186/s12966-019-0807-4
pmc: PMC6537196
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

48

Subventions

Organisme : NHLBI NIH HHS
ID : R01 HL111378
Pays : United States

Références

Int J Circumpolar Health. 2016 Dec 05;75:33319
pubmed: 27924739
Prev Med Rep. 2015;2:65-70
pubmed: 26793430
BMJ. 1995 Jan 21;310(6973):170
pubmed: 7833759
Health Educ Res. 2007 Jun;22(3):438-49
pubmed: 16987942
J Phys Act Health. 2012 Jul;9(5):617-25
pubmed: 22733866
Sci Rep. 2017 Nov 24;7(1):16309
pubmed: 29176562
Prev Med. 2009 Aug-Sep;49(2-3):213-8
pubmed: 19632263
Lancet. 1996 Oct 26;348(9035):1152-3
pubmed: 8888172
Health Educ Res. 2014 Oct;29(5):822-39
pubmed: 24812148
J Phys Act Health. 2016 Aug;13(8):861-6
pubmed: 26999722
PLoS One. 2016 Jan 19;11(1):e0147128
pubmed: 26784933
Am J Prev Med. 2007 Nov;33(5):387-95
pubmed: 17950404
Eur J Public Health. 2010 Feb;20(1):85-90
pubmed: 19587226
J Adolesc Health. 2015 Dec;57(6):679-85
pubmed: 26592335
J Phys Act Health. 2015 Aug;12(8):1088-95
pubmed: 25247894
Annu Rev Public Health. 2006;27:297-322
pubmed: 16533119
Res Q Exerc Sport. 2016 Jun;87(2):191-9
pubmed: 27030158
Int J Behav Nutr Phys Act. 2008 Jun 23;5:34
pubmed: 18573196
Int J Behav Nutr Phys Act. 2016 Apr 21;13:53
pubmed: 27105954
J Abnorm Child Psychol. 1978 Jun;6(2):271-80
pubmed: 670592
Environ Int. 2011 May;37(4):766-77
pubmed: 21419493
Arch Public Health. 2017 Sep 25;75:38
pubmed: 29021899
Public Health Nutr. 2011 Mar;14(3):443-50
pubmed: 20939939
Hong Kong Med J. 2019 Feb;25 Suppl 2(1):34-39
pubmed: 30674706
Int J Behav Nutr Phys Act. 2010 Nov 25;7:84
pubmed: 21108800
Lancet Public Health. 2017 Jan;2(1):e23-e34
pubmed: 29249477
Eur J Public Health. 2012 Apr;22(2):209-14
pubmed: 21521708
BMC Pediatr. 2014 Jun 06;14:142
pubmed: 24903156
Int J Behav Nutr Phys Act. 2010 Apr 15;7:28
pubmed: 20398320
J Pediatr Endocrinol Metab. 2018 Jan 26;31(1):63-69
pubmed: 29329105
Res Q Exerc Sport. 2005 Sep;76(3):315-23
pubmed: 16270708
J Transp Health. 2019 Mar;12:336-348
pubmed: 31534907
BMC Public Health. 2018 Aug 22;18(1):1053
pubmed: 30134889
Eur J Public Health. 2017 Feb 1;27(1):152-157
pubmed: 28177458
Environ Int. 2018 Apr;113:100-108
pubmed: 29421398
Psychol Methods. 2005 Mar;10(1):21-39
pubmed: 15810867
J Phys Act Health. 2014 Jan;11(1):206-27
pubmed: 23250273
J Phys Act Health. 2008 May;5(3):430-44
pubmed: 18579920
J Sci Med Sport. 2015 Jul;18(4):432-7
pubmed: 25027770

Auteurs

Anthony Barnett (A)

Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia. Anthony.Barnett@acu.edu.au.

Muhammad Akram (M)

Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia.

Cindy Hui-Ping Sit (CH)

Department of Sports Science and Physical Education, Faculty of Education, The Chinese University of Hong Kong, Hong Kong, China.

Robin Mellecker (R)

Center for Information and Technology, Faculty of Education, The University of Hong Kong, Hong Kong, China.

Alison Carver (A)

Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia.

Ester Cerin (E)

Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia.
School of Public Health, The University of Hong Kong, Hong Kong, China.

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Classifications MeSH