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

[1]  E. Cerin,et al.  Associations of socio-demographic, perceived environmental, social and psychological factors with active travel in Hong Kong adolescents: the iHealt(H) cross-sectional study. , 2019, Journal of transport & health.

[2]  E. Cerin,et al.  Relative contribution and interactive effects of psychological, social, and environmental correlates of physical activity, sedentary behaviour, and dietary behaviours in Hong Kong adolescents. , 2019, Hong Kong medical journal = Xianggang yi xue za zhi.

[3]  A. Clark,et al.  Understanding child and parent perceptions of barriers influencing children’s active school travel , 2018, BMC Public Health.

[4]  M. Brauer,et al.  Integrating travel behavior with land use regression to estimate dynamic air pollution exposure in Hong Kong. , 2018, Environment international.

[5]  Hyo-Kyoung Nam,et al.  Daily sitting time associated with the risk of metabolic syndrome in Korean adolescents , 2018, Journal of pediatric endocrinology & metabolism : JPEM.

[6]  Man Sing Wong,et al.  Understanding heat patterns produced by vehicular flows in urban areas , 2017, Scientific Reports.

[7]  J. Sallis,et al.  Reliability of self-report measures of correlates of obesity-related behaviours in Hong Kong adolescents for the iHealt(H) and IPEN adolescent studies , 2017, Archives of Public Health.

[8]  S. Mandic,et al.  Enrolling in the Closest School or Not? Implications of school choice decisions for active transport to school , 2017 .

[9]  C. Vandelanotte,et al.  The influence of parental modelling on children’s physical activity and screen time: Does it differ by gender? , 2016, European journal of public health.

[10]  Wichor M Bramer,et al.  Levels of ambient air pollution according to mode of transport: a systematic review. , 2017, The Lancet. Public health.

[11]  D. Hoelscher,et al.  Transit Use by Children and Adolescents: An Overlooked Source of and Opportunity for Physical Activity? , 2016, Journal of physical activity & health.

[12]  E. Cerin,et al.  Associations between the neighbourhood environment characteristics and physical activity in older adults with specific types of chronic conditions: the ALECS cross-sectional study , 2016, International Journal of Behavioral Nutrition and Physical Activity.

[13]  Caterina G. Roman,et al.  Parental and Adolescent Perceptions of Neighborhood Safety Related to Adolescents' Physical Activity in Their Neighborhood , 2016, Research quarterly for exercise and sport.

[14]  Mintesnot G. Woldeamanuel.  Younger teens' mode choice for school trips: Do parents' attitudes toward safety and traffic conditions along the school route matter? , 2016 .

[15]  T. Tammelin,et al.  Active commuting to school in Finland, the potential for physical activity increase in different seasons , 2016, International journal of circumpolar health.

[16]  C. Vandelanotte,et al.  Psychosocial and Environmental Correlates of Walking, Cycling, Public Transport and Passive Transport to Various Destinations in Flemish Older Adolescents , 2016, PloS one.

[17]  T. Tammelin,et al.  Active commuting to school in Finland, the potential for physical activity increase in different seasons. , 2016 .

[18]  Ying Sun,et al.  Associations Between Active Commuting to School, Body Fat, and Mental Well-being: Population-Based, Cross-Sectional Study in China. , 2015, The Journal of adolescent health : official publication of the Society for Adolescent Medicine.

[19]  S. Barquera,et al.  Active Commuting to School in Mexican Adolescents: Evidence From the Mexican National Nutrition and Health Survey. , 2015, Journal of physical activity & health.

[20]  Melanie Middlemiss,et al.  Personal, social and environmental correlates of active transport to school among adolescents in Otago, New Zealand. , 2015, Journal of science and medicine in sport.

[21]  Meghan Winters,et al.  School-travel by public transit: Rethinking active transportation , 2015, Preventive medicine reports.

[22]  Anna Broberg,et al.  School travel mode choice and the characteristics of the urban built environment: The case of Helsinki, Finland , 2015 .

[23]  José Cazuza de Farias Júnior,et al.  Physical activity and social support in adolescents: a systematic review. , 2014, Health education research.

[24]  E. Cerin,et al.  Repeatability of self-report measures of physical activity, sedentary and travel behaviour in Hong Kong adolescents for the iHealt(H) and IPEN – Adolescent studies , 2014, BMC Pediatrics.

[25]  M. Tremblay,et al.  Associations between active school transport and physical activity, body composition, and cardiovascular fitness: a systematic review of 68 studies. , 2014, Journal of physical activity & health.

[26]  L. Andersen,et al.  Cycling to school is associated with lower BMI and lower odds of being overweight or obese in a large population-based study of Danish adolescents. , 2012, Journal of physical activity & health.

[27]  Lucie Laflamme,et al.  Active commuting to and from school among Swedish children--a national and regional study. , 2012, European journal of public health.

[28]  Luc Int Panis,et al.  Improving health through policies that promote active travel: a review of evidence to support integrated health impact assessment. , 2011, Environment international.

[29]  Alvin Mejia,et al.  Walkability and Pedestrian Facilities in Asian Cities State and Issues , 2011 .

[30]  E. Cerin,et al.  Reliable and valid NEWS for Chinese seniors: measuring perceived neighborhood attributes related to walking , 2010, The international journal of behavioral nutrition and physical activity.

[31]  E. Cerin,et al.  Examining the validity and reliability of the Chinese version of the International Physical Activity Questionnaire, long form (IPAQ-LC) , 2010, Public Health Nutrition.

[32]  C. Braun-Fahrländer,et al.  Trend in active transportation to school among Swiss school children and its associated factors: three cross-sectional surveys 1994, 2000 and 2005 , 2010, The international journal of behavioral nutrition and physical activity.

[33]  S. Biddle,et al.  The prevalence of sedentary behaviours and physical activity in Hungarian youth. , 2010, European journal of public health.

[34]  Jacqueline Kerr,et al.  Neighborhood Environment Walkability Scale for Youth (NEWS-Y): reliability and relationship with physical activity. , 2009, Preventive medicine.

[35]  Andrew P. Jones,et al.  Environmental determinants of active travel in youth: A review and framework for future research , 2008, The international journal of behavioral nutrition and physical activity.

[36]  David Crawford,et al.  Perceptions of neighborhood safety and physical activity among youth: the CLAN study. , 2008, Journal of physical activity & health.

[37]  J. D. Lisle.  Choosing a Secondary School , 2008 .

[38]  Tony Jung,et al.  An introduction to latent class growth analysis and growth mixture modeling. , 2008 .

[39]  A. Bauman,et al.  Neighborhood walkability and the walking behavior of Australian adults. , 2007, American journal of preventive medicine.

[40]  B. Muthén,et al.  Deciding on the Number of Classes in Latent Class Analysis and Growth Mixture Modeling: A Monte Carlo Simulation Study , 2007 .

[41]  Duncan J. Macfarlane,et al.  Measuring perceived neighbourhood walkability in Hong Kong , 2007 .

[42]  Deborah I Thompson,et al.  Social desirability is associated with some physical activity, psychosocial variables and sedentary behavior but not self-reported physical activity among adolescent males. , 2006, Health education research.

[43]  Dena A. Pastor,et al.  A latent profile analysis of college students’ achievement goal orientation , 2007 .

[44]  J. Sallis,et al.  An ecological approach to creating active living communities. , 2006, Annual review of public health.

[45]  G. Norman,et al.  Comparability and Reliability of Paper- and Computer-Based Measures of Psychosocial Constructs for Adolescent Physical Activity and Sedentary Behaviors , 2005, Research quarterly for exercise and sport.

[46]  B. Muthén,et al.  Investigating population heterogeneity with factor mixture models. , 2005, Psychological methods.

[47]  M. Shima.  Health effects of traffic-related air pollution. , 2005 .

[48]  Bengt Muthén,et al.  Latent Variable Analysis: Growth Mixture Modeling and Related Techniques for Longitudinal Data , 2004 .

[49]  H. Kong.  The Government of the Hong Kong Special Administrative Region , 2002 .

[50]  B. Rosner,et al.  Data trawling: to fish or not to fish , 1996, The Lancet.

[51]  D. Altman,et al.  Multiple significance tests: the Bonferroni method , 1995, BMJ.

[52]  C. Reynolds,et al.  What i think and feel: A revised measure of children's manifest anxiety , 1978, Journal of abnormal child psychology.

[53]  H. Akaike.  A new look at the statistical model identification , 1974 .

[54]  J. Hair.  Multivariate data analysis , 1972 .