Habits may be a mechanism linking environmental variables with active commuting. This study investigated the role of habit strength in the explanation of active commuting across profiles based on current active commuting, motivation, and habit strength within the framework of the theory of planned behavior (TPB).
Design.
Cross-sectional survey using validated questionnaires.
Setting.
Undergraduate students who participated for course credits.
Subjects.
Five hundred and thirty-eight students (mean age = 21.19 [SD = 2.57]; 28.45% males; response rate = 86.36%).
Measures.
Questionnaire included TPB items, underlying beliefs, and a validated measure of habit strength. Active commuting was assessed with relevant items from the International Physical Activity Questionnaire.
Analysis.
Hierarchical regression and interaction analyses, discriminant function analysis, and analyses of variance.
Results.
Habit strength was the strongest correlate of active commuting and interacted with intention: at low and medium levels of habit strength, the intention–bicycle use relationship was more than twice as strong as at high levels. Beliefs regarding situational barriers were amongst the most discriminating beliefs, whereas beliefs regarding health benefits did not distinguish profiles.
Conclusions.
Stronger active commuting habits are associated with a lower association between intention and bicycle use. Persuasive health campaigns might more usefully instill a sense of confidence in various commuting situations rather than merely emphasizing health benefits of active commuting. (Am J Health Promot 2011;25[3]:e27–e36.)
CooperARWedderkoppNJagoRLongitudinal associations of cycling to school with adolescent fitness. Prev Med. 2008;47:324–328.
2.
KromhoutDBloembergBSeidellJCPhysical activity and dietary fiber determine population body fat levels: The Seven Country Studies. Int J Obes Relat Metab Disord. 2001;25:301–306.
3.
WesterterpKR.Pattern and intensity of physical activity. Nature. 2001;410:539.
4.
JagoRBaranowskiT.Non-curricular approaches for increasing physical activity in youth: A review. Prev Med. 2004;39:157–163.
5.
FaulknerGEJBuliungRNFloraPKFuscoC.Active school transport, physical activity levels and body weight of children and youth: A systematic review. Prev Med. 2009;48:3–8.
6.
DobsonR.Active commuting is important in raising exercise levels. BMJ. 2006;332:1352.
7.
BerriganDDoddKTroianoRP,Active transportation increases adherence to activity recommendations. Am J Prev Med. 2006;31:210–216.
8.
Van der PloegHPMeromDCorpuzGBaumanAE.Trends in Australian children traveling to school 1971–2003: Burning petrol or carbohydrates?Prev Med. 2008;46:60–62.
9.
CDC. Guidelines for school and community programs to promote lifelong physical activity among young people. MMWR Recomm Rep. 1998; 46:1–36.
10.
RaffertyAPMcGeeHBPetersmarckKAMillerCE.Proportion of trips made by walking: Estimating a state-level baseline for Healthy People 2010 Objective 22-14. Am J Health Promot. 2004;18:387–391.
11.
GodinGKokG.The theory of planned behavior: A review of its applications to health-related behaviors. Am J Health Promot. 1996;11:87–98.
12.
De BruijnGJKremersSPJSchaalmaHDeterminants of adolescent bicycle use for transportation and snacking behavior. Prev Med. 2005;40:658–667.
13.
GreenLWRichardLPotvinL.Ecological foundations of health promotion. Am J Health Promot. 1996;10:270–281.
14.
EggerGSwinburnB.An ecological approach to the obesity pandemic. BMJ. 1997;315:477–480.
15.
HillJOPetersJC.Environmental contributions to the obesity epidemic. Science. 1998;280:1371–1374.
16.
O'DonnellMP.Social ecological approach to health promotion. Am J Health Promot. 1996;10:244.
17.
ZiotAISchmidTL.Relationships among community characteristics and walking and bicycling for transportation and recreation. Am J Health Promot. 2005;19:314–317.
18.
SissonSBLeeSMBurnsEKTudor-LockeCSuitability of commuting by bicycle to Arizona elementary schools. Am J Health Promot. 2006;20:210–213.
19.
Wendel-VosGCWSchuitAJDe NietRFactors of the physical environment associated with walking and bicycling. Med Sci Sports Exerc. 2004;13:725–730.
20.
BrugJVan LentheFJ.Environmental Determinants and Interventions for Physical Activity, Nutrition, and Smoking: A Review. Rotterdam, The Netherlands: Erasmus Medical Center; 2005.
21.
Giles-CortiBDonovanRJ.The relative influence of individual, social and physical environment determinants of physical activity. Soc Sci Med. 2002;54:1793–1812.
22.
OwenNHumpelNLeslieEUnderstanding environmental influences on walking: Review and research agenda. Am J Prev Med. 2004;27:67–76.
23.
DuncanMJSpenceJCMummeryWK.Perceived environment and physical activity: A meta-analysis of selected environmental characteristics. Int J Behav Nutr Phys Act. 2005;2:11.
24.
KremersSPJDe BruijnGJDroomersMModerators of environmental interventions effects on diet and activity in youth. Am J Prev Med. 2007;32:163–172.
25.
SaelensBESallisJFFrankLD.Environmental correlates of walking and cycling: Findings from the transportation, urban design, and planning literatures. Ann Behav Med. 2003;25:80–91.
26.
KremersSPJDe BruijnGJVisscherTLSEnvironmental influences on energy balance-related behaviors: A dual-process view. Int J Behav Nutr Phys Act. 2006;3:9.
27.
SaelensBEHandySL.Built environment correlates of walking: A review. Med Sci Sports Exerc. 2008;40:s550–s566.
28.
BaranowskiTCullenKWNicklasTAre current health behavioral change models helpful in guiding prevention of weight gain efforts?Obes Res. 2003;11:s23–s43.
29.
GardnerB.Modelling motivation and habit in stable travel mode contexts. Transp Res F Traffic Psychol Behav. 2009;12:68–76.
30.
OuelletteJAWoodW.Habit and intention in everyday life: The multiple processes by which past behavior predicts future behavior. Psychol Bull. 1998;124:54–74.
31.
AartsHDijksterhuisA.The automatic activation of goal-directed behaviour: The case of travel habit. J Environ Psychol. 2000;20:75–82.
32.
De BruijnGJKremersSPJSinghAAdult active transportation: Adding habit strength to the Theory of Planned Behavior. Am J Prev Med. 2009;36:189–194.
33.
VerplankenBAartsHVan KnippenbergA.Habit, information acquisition, and the process of making travel mode choices. Eur J Soc Psychol. 1997;27:539–560.
34.
AartsHVerplankenBVan KnippenbergAHB.Predicting behavior from actions in the past: Repeated decision making or a matter of habit?J Appl Soc Psychol. 1998;28:1355–1374.
35.
VerplankenBWoodW.Interventions to break and create consumer habits. J Public Policy Mark. 2006;25:90–103.
36.
KahnEBRamseyLTBrownsonRCThe effectiveness of interventions to increase physical activity. Am J Prev Med. 2002;22:73–107.
37.
De BruijnGJ.Understanding college students' fruit consumption: Integrating habit strength in the Theory of Planned Behaviour. Appetite. 2010;54:16–22.
38.
BaumanABellewBOwenNVitaP.Impact of an Australian mass media campaign targeting physical activity in 1998. Am J Prev Med. 2001;21:41–47.
39.
BeaudoinCEFernandezeCWallJLFarleyTA.Promoting healthy eating and physical activity: Short-term effects of a mass media campaign. Am J Prev Med. 2007;3:217–223.
40.
NoarSMBenacCNHarrisMS.Does tailoring matter? Meta-analytic review of tailored print health behaviour change interventions. Psychol Bull. 2007;133:673–693.
41.
Van den PutteBDhondtG.Developing successful communication strategies: A test of an integrated framework for effective communication. J Appl Soc Psychol. 2005;35:2399–2420.
42.
FishbeinMCappellaJN.The role of theory in developing effective health communications. J Commun. 2006;56:s1–s17.
43.
AjzenI.The theory of planned behavior. Organ Behav Hum Decis Process. 1991;50:179–211.
44.
CraigCLMarshallAJSjöströmMInternational Physical Activity Questionnaire: 12-country reliability and validity. Med Sci Sports Exerc. 2003;35:1381–1395.
45.
VerplankenBOrbellS.Reflections of past behavior: A self-report index of habit strength. J Appl Soc Psychol. 2003;33:1313–1330.
RhodesREPlotnikoffRC.Understanding action control: Predicting physical activity intention-behavior profiles across six months in a Canadian sample. Health Psychol. 2006;25:292–299.
48.
RhodesREPlotnikoffRCCourneyaKS.Predicting the physical activity intention-behaviour profiles of adopters and maintainers using three social cognition models. Ann Behav Med. 2008;36:244–252.
49.
SheeranP.Intention-behavior relations: A conceptual and empirical review. Eur Rev Soc Psychol. 2002;12:1–36.
50.
CohenJ.Statistical Power Analysis for the Behavioral Sciences. Hillsdale, NJ: Lawrence Erlbaum Associates; 1988.
51.
MeromDRisselCAjsaMBaumanAE.Process evaluation of the New South Wales Walk Safely to School Day. Health Promot J Austr. 2005;16:100–106.
52.
MeromDBaumanAEVitaPCloseG.An environmental intervention to promote walking and cycling—the impact of a newly constructed Rail Trail in Western Sydney. Prev Med. 2003;36:235–242.
53.
MeromDMillerYDVan der PloegHBaumanAE.Predictors of initiating and maintaining active commuting to work using transport and public health perspectives in Australia. Prev Med. 2008;47:342–346.
54.
WilliamsDMMatthewsCERuttCNapolitanoME.Interventions to increase walking behaviour. Med Sci Sports Exerc. 2008;40:s567–s572.
55.
MeromDCheyTChauJAre messages about lifestyle walking being heard? Trends in walking for all purposes in New South Wales (NSW), Australia. Prev Med. 2009;48:341–344.
56.
McGuireWJ.Theoretical foundations of campaigns. In: RiceRE,AtkinCK, eds. Public Communication Campaigns. Newbury Park, Calif: Sage; 1989:43–65.
57.
De BruijnGJKremersSPJDe VetEDoes habit strength moderate the intention-behaviour relationship in the Theory of Planned Behaviour? The case of fruit consumption. Psychol Health. 2007;22:899–916.
58.
De BruijnGJKroezeWOenemaABrugJ.Saturated fat consumption and the Theory of Planned Behaviour: Additive and interaction effects of habit strength. Appetite. 2008;51:318–323.
59.
KremersSPJBrugJ.Habit strength of physical activity and sedentary behavior among children and adolescents. Pediatr Exerc Sci. 2008;20:5–17.
60.
AartsHVerplankenBVan KnippenbergA.Habit and information use in travel mode choices. Acta Psychol. 1997;96:1–14.
61.
AartsHDijksterhuisA.Habits as knowledge structures: Automaticity in goal-directed behavior. J Pers Soc Psychol. 2000;78:53–63.
62.
EaglyAHChaikenS.The Psychology of Attitudes. Fort Worth, Tex: Harcourt Brace Jovanovich;1993.
63.
BrugJVan LentheFJKremersSPJ.Revisiting Kurt Lewin: How to gain insight into environmental correlates of obesogenic behaviors. Am J Prev Med. 2006;31:525–529.
64.
GollwitzerPM.Implementation intentions: Strong effects of simple plans. Am Psychol. 1999;54:493–503.
65.
KwakLKremersSPJVan BeekMABrugJ.Formation of implementation intentions promotes stair use. Am J Prev Med. 2007;32:254–255.
66.
WebbTLSheeranPLuszczynskaA.Planning to break unwanted habits: Habit strength moderates implementation intention effects on behaviour change. Br J Soc Psychol. 2009;48:507–523.
67.
BuddRJ.Response bias and the theory of reasoned action. Soc Cogn. 1987;5:95–107.
68.
LiskaAE.A critical examination of the causal structure of the Fishbein/Ajzen attitude-behavior model. Soc Psychol Q. 1984;47:61–74.
69.
De BruijnGJDe GrootRVan den PutteBRhodesRE.Conscientiousness, extroversion, and action control: Comparing moderate and vigorous physical activity. J Sports Exerc Psychol. 2009;31:724–742.
70.
MaddisonRNi MhurchuCJiangYInternational Physical Activity Questionnaire (IPAQ) and New Zealand Physical Activity Questionnaire (NZPAQ): A doubly labelled water validation. Int J Behav Nutr Phys Act. 2007;4:62.
71.
SchwarzN.Self-reports: How the question shapes the answers. Am Psychol. 1999;54:93–102.
72.
Van LentheFJBrugJMackenbachJP.Neighbourhood inequalities in physical inactivity: The role of neighborhood attractiveness, proximity to local facilities, and safety in the Netherlands. Soc Sci Med. 2005;60:763–775.
73.
GrowHMSaelensBEKerrJWhere are youth active? Roles of proximity, active transport, and built environment. Med Sci Sports Exerc. 2008;40:2071–2079.
74.
DuncanMMummeryK.Psychosocial and environmental factors associated with physical activity among city dwellers in regional Queensland. Prev Med. 2005;40:363–372.
75.
BereEVan der HorstKOenemaASocio-demographic factors as correlates of active commuting to school in Rotterdam, the Netherlands. Prev Med. 2008;47:412–416.
76.
GordonLarsen PMcMurrayRGPopkinBM.Determinants of adolescent physical activity and inactivity patterns. Pediatrics. 2000;105:83.
77.
PabayoRGauvinL.Proportions of students who use various modes of transportation to and from school in a representative population-based sample of children and adolescents, 1999. Prev Med. 2008;46:63–66.
