113 related articles for article (PubMed ID: 24603010)
21. Active travel to work in New South Wales 2005-2010, individual characteristics and association with body mass index.
Rissel C; Greenaway M; Bauman A; Wen LM
Aust N Z J Public Health; 2014 Feb; 38(1):25-9. PubMed ID: 24494941
[TBL] [Abstract][Full Text] [Related]
22. Active transportation as a way to increase physical activity among children.
Morency C; Demers M
Child Care Health Dev; 2010 May; 36(3):421-7. PubMed ID: 19961503
[TBL] [Abstract][Full Text] [Related]
23. Physical activity levels of children who walk, cycle, or are driven to school.
Cooper AR; Andersen LB; Wedderkopp N; Page AS; Froberg K
Am J Prev Med; 2005 Oct; 29(3):179-84. PubMed ID: 16168866
[TBL] [Abstract][Full Text] [Related]
24. Longitudinal effects of urban green space on walking and cycling: A fixed effects analysis.
Hogendorf M; Oude Groeniger J; Noordzij JM; Beenackers MA; van Lenthe FJ
Health Place; 2020 Jan; 61():102264. PubMed ID: 32329730
[TBL] [Abstract][Full Text] [Related]
25. Measuring the Destination Accessibility of Cycling Transfer Trips in Metro Station Areas: A Big Data Approach.
Wu X; Lu Y; Lin Y; Yang Y
Int J Environ Res Public Health; 2019 Jul; 16(15):. PubMed ID: 31344883
[TBL] [Abstract][Full Text] [Related]
26. Walking trips to parks: exploring demographic, environmental factors, and preferences for adults with children in the household.
Tilt JH
Prev Med; 2010 Jan; 50 Suppl 1():S69-73. PubMed ID: 19744514
[TBL] [Abstract][Full Text] [Related]
27. A pilot study using global positioning systems (GPS) devices and surveys to ascertain older adults' travel patterns.
Yen IH; Leung CW; Lan M; Sarrafzadeh M; Kayekjian KC; Duru OK
J Appl Gerontol; 2015 Apr; 34(3):NP190-201. PubMed ID: 24652872
[TBL] [Abstract][Full Text] [Related]
28. Comparison of methods to estimate water access: a pilot study of a GPS-based approach in low resource settings.
Pearson AL
Int J Health Geogr; 2016 Sep; 15(1):33. PubMed ID: 27649755
[TBL] [Abstract][Full Text] [Related]
29. Geographic regions for assessing built environmental correlates with walking trips: A comparison using different metrics and model designs.
Tribby CP; Miller HJ; Brown BB; Smith KR; Werner CM
Health Place; 2017 May; 45():1-9. PubMed ID: 28237743
[TBL] [Abstract][Full Text] [Related]
30. Relationship between Objectively Measured Transportation Behaviors and Health Characteristics in Older Adults.
Takemoto M; Carlson JA; Moran K; Godbole S; Crist K; Kerr J
Int J Environ Res Public Health; 2015 Oct; 12(11):13923-37. PubMed ID: 26528999
[TBL] [Abstract][Full Text] [Related]
31. Mobility assessment of a rural population in the Netherlands using GPS measurements.
Klous G; Smit LAM; Borlée F; Coutinho RA; Kretzschmar MEE; Heederik DJJ; Huss A
Int J Health Geogr; 2017 Aug; 16(1):30. PubMed ID: 28793901
[TBL] [Abstract][Full Text] [Related]
32. Health impact of motorised trips that could be replaced by walking.
Olabarria M; Pérez K; Santamariña-Rubio E; Novoa AM; Racioppi F
Eur J Public Health; 2013 Apr; 23(2):217-22. PubMed ID: 22406462
[TBL] [Abstract][Full Text] [Related]
33. Exploring Factors Regarding Transit-related Walking and Walking Duration.
Yu CY; Lin HC
J Phys Act Health; 2016 Nov; 13(11):1220-1229. PubMed ID: 27633619
[TBL] [Abstract][Full Text] [Related]
34. Combining GPS, GIS, and accelerometry: methodological issues in the assessment of location and intensity of travel behaviors.
Oliver M; Badland H; Mavoa S; Duncan MJ; Duncan S
J Phys Act Health; 2010 Jan; 7(1):102-8. PubMed ID: 20231761
[TBL] [Abstract][Full Text] [Related]
35. Capturing fine-scale travel behaviors: a comparative analysis between personal activity location measurement system (PALMS) and travel diary.
Kang M; Moudon AV; Hurvitz PM; Saelens BE
Int J Health Geogr; 2018 Dec; 17(1):40. PubMed ID: 30509275
[TBL] [Abstract][Full Text] [Related]
36. Active commuting from youth to adulthood and as a predictor of physical activity in early midlife: the young Finns study.
Yang X; Telama R; Hirvensalo M; Tammelin T; Viikari JS; Raitakari OT
Prev Med; 2014 Feb; 59():5-11. PubMed ID: 24201092
[TBL] [Abstract][Full Text] [Related]
37. Assessing patterns of spatial behavior in health studies: their socio-demographic determinants and associations with transportation modes (the RECORD Cohort Study).
Perchoux C; Kestens Y; Thomas F; Van Hulst A; Thierry B; Chaix B
Soc Sci Med; 2014 Oct; 119():64-73. PubMed ID: 25150652
[TBL] [Abstract][Full Text] [Related]
38. Youth walking and biking rates vary by environments around 5 Louisiana schools.
Gustat J; Richards K; Rice J; Andersen L; Parker-Karst K; Cole S
J Sch Health; 2015 Jan; 85(1):36-42. PubMed ID: 25440451
[TBL] [Abstract][Full Text] [Related]
39. Transport-related walking among young adults: when and why?
Assemi B; Zahnow R; Zapata-Diomedi B; Hickman M; Corcoran J
BMC Public Health; 2020 Feb; 20(1):244. PubMed ID: 32070313
[TBL] [Abstract][Full Text] [Related]
40. 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 Jan; 30(1):45-51. PubMed ID: 16414423
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]