Tag Archives: environmental cues

Wennekers, A. M., Holland, R. W., Wigboldus, D. H. J., & van Knippenberg, A. (2012). Duistere vooroordelen: Hoe een donkere omgeving negatieve associaties met Marokkanen kan versterken. [Prejudice in the dark: How darkness enhances negative associations with Moroccans]. In M. Strick, M. Baas, L. van Dillen, R. Dotsch, D. Lakens, & M. de Vries (Eds.), Jaarboek Sociale Psychologie 2012 (pp. 251-254). Groningen: ASPO pers.

Nagelhout, G. E., Willemsen, M. C., Gebhardt, W. A., van den Putte, B., Hitchman, S. C., Crone, M. R., Fong, G. T., van der Heiden, S., & de Vries, H. (2012). Does smoke-free legislation and smoking outside bars increase feelings of stigmatization among smokers: Findings from the International Tobacco Control (ITC) Netherlands Survey. Health & Place, 18, 1436-1440. doi: http://dx.doi.org/10.1016/j.healthplace.2012.08.001

Continue reading >>

Kort, M. de, & Velthuijsen, A. S. (2011). Handen wassen na het plassen. Jong geleerd, oud gedaan? Een onderzoek naar het communiceren van de injunctieve en descriptieve norm, en het uitoefenen van informationele en normatieve sociale invloed op het handenwasgedrag van toiletbezoekers.Tijdschrift voor Communicatiewetenschap, 39(3), 41-64

Nelissen, R. M. A., & Meijers, M. H. C. (2011). Social benefits of luxury brands as costly signals of wealth and status. Evolution and Human Behavior. 32, 343-355. DOI:10.1016/j.evolhumbehav.2010.12.002

Continue reading >>

De Bruijn, G. J., & Gardner, B. D. (2011). Active commuting and habit strength: an interactive and discriminant analyses approach. American Journal of Health Promotion, 25(3), 27-36.

Continue reading >>

Kerkhof, P., & Van Noort, G. (2010). Third party internet seals: Reviewing the effects on online consumer trust. Encyclopedia of E-Business Development and Management in the Global Economy, 2, 701-708.

Van Rompay, T. J. L., Vonk, D. J., & Fransen, M. L. (2009). The eye of the camera: Effects of security cameras on pro-social behavior. Environment and Behavior, 41, 60-74. DOI: 10.1177/0013916507309996

Continue reading >>

Nohlen, H., Hendriks, H., Brandtmeyer, T., & Holland, R. W. (2009). For scent-imental reasons: Het koppelen van geuren aan specifiek gedrag. Aspo Pers.

Continue reading >>

Hendriks, H., Van Hal, J., Veling, H., & Holland, R. W. (2009). The sound of music: Het effect van omgevingsvariabelen op de selectie van middelen in doelgericht gedrag. Aspo Pers.

Continue reading >>

Meijers, M. H. C., & Nelissen, R. M. A. (2008). Kleren maken de man. In R. Custers, B. Beersma, H. van de Berg, F. Harinck & M. van Zomeren (Eds.), Jaarboek Sociale Psychologie 2008 (pp. 280–286). Groningen: ASPO Pers.

Van Noort, G., Kerkhof, P., & Fennis, B. M. (2008). The persuasiveness of online safety cues: The impact of prevention focus compatibility of web content on consumers’ risk perceptions and attitudes and intentions. Journal of Interactive Marketing, 22(4), 58-72. (impact score = 2.600)

Continue reading >>

Kremers, S. P. J., De Bruijn, G. J., Droomers, M., Van Lenthe, F., & Brug, J. (2007). Moderators of environmental intervention effects on diet and activity in youth. American Journal of Preventive Medicine, 32, 163-172.

Abstract:
Background: The complexity of the relationship between environmental factors on the one hand and dietary behavior and physical activity on the other necessitates the search for moderators of environmental influences. The current evidence base is reviewed regarding potential moderating factors in the effectiveness of environmental interventions aimed at diet and/or physical activity of children and adolescents.
Methods: The following databases were used: (1) Medline, (2) PubMed, (3) PsychInfo, (4) Web of Science, and (5) ERIC. Additionally, all potentially relevant references in recent reviews were checked.
Results: Of the 41 studies included in the review, only seven studies (17%) were identified that reported tests of potential moderators of intervention effects. Gender proved to be the most frequently studied potential moderator. Additionally, race, age, and site have been studied regarding their potential role in modifying the effect of environmental interventions.
Discussion: The small number of studies identified in this review prohibited us from attempting to formulate a conclusion on differential environment-behavior relationships in distinct subgroups. Rather than being an exception, it is argued that tests of effect modifiers should become common practice in behavioral nutrition and physical activity research to increase our understanding of mechanisms of behavior change and to optimize interventions.

Link: http://www.ncbi.nlm.nih.gov/pubmed/17197152

De Bruijn, G. J., Kremers, S. P. J., De Vries, H., Van Mechelen, W., & Brug, J. (2007). Associations of social-environmental and individual-level factors with adolescent soft drink consumption: results from the SMILE study. Health Education Research, 22, 227-237.

Continue reading >>

Kremers, S. P. J., De Bruijn, G. J., Visscher, T. L., Van Mechelen, W., De Vries, N. K., & Brug, J. (2006). Environmental influences on energy balance-related behaviors: A dual-process view. International Journal of Behavioral Nutrition and Physical Activity, 15, 3.

Abstract:
Background: Studies on the impact of the ‘obesogenic’ environment have often used non-theoretical approaches. In this journal’s debate and in other papers authors have argued the necessity of formulating conceptual models for differentiating the causal role of environmental influences on behavior.
Discussion: The present paper aims to contribute to the debate by presenting a dual-process view on the environment–behavior relationship. This view is conceptualized in the EnRG framework (Environmental Research framework for weight Gain prevention). In the framework, behavior is postulated to be the result of a simultaneous influence of conscious and unconscious processes. Environmental influences are hypothesized to influence behavior both indirectly and directly. The indirect causal mechanism reflects the mediating role of behavior-specific cognitions in the influence of the environment on behavior. A direct influence reflects the automatic, unconscious, influence of the environment on behavior. Specific personal and behavioral factors are postulated to moderate the causal path (i.e., inducing either the automatic or the cognitively mediated environment – behavior relation). In addition, the EnRG framework applies an energy balance-approach, stimulating the integrated study of determinants of diet and physical activity.
Conclusion: The application of a dual-process view may guide research towards causal mechanisms linking specific environmental features with energy balance-related behaviors in distinct populations. The present paper is hoped to contribute to the evolution of a paradigm that may help to disentangle the role of ‘obesogenic’ environmental factors.

Link: http://www.ncbi.nlm.nih.gov/pubmed/16700907

De Bruijn, G. J., Kremers, S. P. J., Lensvelt-Mulders, G., De Vries, H., Van Mechelen W, & Brug J. (2006). Modeling individual and physical environmental factors with adolescent physical activity. American Journal of Preventive Medicine, 30, 507-512.

Continue reading >>