Have a personal or library account? Click to login
Scrutinizing Physical Activity as Economic Behavior and the Possibilities of Neuromarketing Cover

Scrutinizing Physical Activity as Economic Behavior and the Possibilities of Neuromarketing

Physical Activity and Health
Volume 7 (2023): Issue 1
By: Laura Vainio and  Jarmo Heinonen  
Open Access
|Aug 2023

References

  1. 1Acland, D., & Levy, M. R. (2015). Naivete, Projection Bias, and Habit Formation in Gym Attendance. Management Science [Online], 61(1), pp. 146–160. DOI: 10.1287/mnsc.2014.2091
    Back to article
  2. 2Anderson, L. R., & Mellor, J. M. (2008). Predicting Health Behaviors with an Experimental Measure of Risk Preference. Journal of health economics [Online], 27(5) September, pp. 1260–1274. DOI: 10.1016/j.jhealeco.2008.05.011
    Back to article
  3. 3Baker, H. K., Kumar, S., Goyal, N., & Gaur, V. (2019). How Financial Literacy and Demographic Variables Relate to Behavioral Biases. Managerial Finance, 45(1), pp. 124–146. DOI: 10.1108/MF-01-2018-0003
    Back to article
  4. 4Baklouti, I. (2015). On the Role of Loan Officers’ Psychological Traits in Predicting Microcredit Default Accuracy. Qualitative Research in Financial Markets, 7(3), pp. 264–289. DOI: 10.1108/QRFM-04-2014-0011
    Back to article
  5. 5Bayer, Y. M., Shtudiner, Z., Suhorukov, O., & Grisaru, N. (2019). Time and Risk Preferences, and Consumption Decisions of Patients with Clinical Depression. Journal of Behavioral and Experimental Economics [Online], 78(January), pp. 138–145. DOI: 10.1016/j.socec.2019.01.003
    Back to article
  6. 6Bezyak, J. L., Berven, N. L., & Chan, F. (2011). Stages of Change and Physical Activity Among Individuals With Severe Mental Illness. Rehabilitation Psychology, 56(3), pp. 182–190. DOI: 10.1037/a0024207
    Back to article
  7. 7Biddle, S. J. H., Ciaccioni, S., Thomas, G., & Vergeer, I. (2019). Physical Activity and Mental Health in Children and Adolescents: An Updated Review of Reviews and an Analysis of Causality. Psychology of Sport and Exercise [Online], 42(May 2018), pp. 146–155. DOI: 10.1016/j.psychsport.2018.08.011
    Back to article
  8. 8Camerer, C., Babcock, L., Loewenstein, G., & Thaler, R. (1997). Labor Supply of New York City Cabdrivers: One Day at a Time. Source: The Quarterly Journal of Economics, 112(2), pp. 407–441. DOI: 10.1162/003355397555244
    Back to article
  9. 9Centers for Disease Control and Prevention. (2023). Adults Meeting Aerobic and Muscle Strengthening Guidelines in 2019 [Online]. Available from: <https://nccd.cdc.gov/dnpao_dtm/rdPage.aspx?rdReport=DNPAO_DTM.ExploreByTopic&islClass=PA&islTopic=PA1&go=GO>
    Back to article
  10. 10Charness, G., & Gneezy, U. (2009). Incentives to Exercise. Econometrica [Online], 77(3), pp. 909–931. DOI: 10.3982/ECTA7416
    Back to article
  11. 11Chekroud, S. R., Gueorguieva, R., Zheutlin, A. B., Paulus, M., Krumholz, H. M., Krystal, J. H., & Chekroud, A. M. (2018). Association between Physical Exercise and Mental Health in 1·2 Million Individuals in the USA between 2011 and 2015: A Cross-Sectional Study. The Lancet Psychiatry [Online], 0366(18), pp. 1–7. DOI: 10.1016/S2215-0366(18)30227-X
    Back to article
  12. 12Concina, L. (2014). Risk Attitude & Economics [Online]. 2014–01. Toulouse: Foundation for an industrial safety culture (Foncsi). Available from: <https://www.foncsi.org/fr/publications/collections/regards/risk-attitude-and-economics/Viewpoint-risk-attitude-economics.pdf>
    Back to article
  13. 13Conell-Price, L., & Jamison, J. (2015). Predicting Health Behaviors with Economic Preferences & Locus of Control. Journal of Behavioral and Experimental Economics [Online], 54, pp. 1–9. DOI: 10.1016/j.socec.2014.10.003
    Back to article
  14. 14Coppola, M. (2014). Eliciting Risk-Preferences in Socio-Economic Surveys: How Do Different Measures Perform? Journal of Socio-Economics [Online], 48, pp. 1–10. DOI: 10.1016/j.socec.2013.08.010
    Back to article
  15. 15Dearden, J. S., & Sheahan, S. L. (2002). Counseling Middle-Aged Women about Physical Activity Using the Stages of Change. Journal of the American Academy of Nurse Practitioners [Online], 14(11), pp. 492–497. Available from: <http://search.ebscohost.com/login.aspx?direct=true&AuthType=sso&db=ccm&AN=106802225&site=ehost-live&scope=site&custid=ns206789>. DOI: 10.1111/j.1745-7599.2002.tb00081.x
    Back to article
  16. 16DiClemente, C. C., Prochaska, J. O., Fairhurst, S. K., Velicer, W. F., Velasquez, M. M., & Rossi, J. S. (1991). The Process of Smoking Cessation: An Analysis of Precontemplation, Contemplation, and Preparation Stages of Change. Journal of Consulting and Clinical Psychology, 59(2), pp. 295–304. DOI: 10.1037/0022-006X.59.2.295
    Back to article
  17. 17Dolan, P., Hallsworth, M., Halpern, D., King, D., Metcalfe, R., & Vlaev, I. (2012). Influencing Behaviour: The Mindspace Way. Journal of Economic Psychology, 33(1), pp. 264–277. DOI: 10.1016/j.joep.2011.10.009
    Back to article
  18. 18Dumith, S. C., Gigante, D. P., & Domingues, M. R. (2007). Stages of Change for Physical Activity in Adults from Southern Brazil: A Population-Based Survey. Notes, 4(25), pp. 1–10. DOI: 10.1186/1479-5868-4-25
    Back to article
  19. 19Ert, E., & Haruvy, E. (2017). Revisiting Risk Aversion: Can Risk Preferences Change with Experience? Economics Letters [Online], 151, pp. 91–95. DOI: 10.1016/j.econlet.2016.12.008
    Back to article
  20. 20European Institute for Gender Equality. (2022). Time Spent on Health-Enhancing (Non-Work-Related) Aerobic Physical Activity by Sex, Age and Educational Attainment Level [Online]. Available from: <https://eige.europa.eu/it/gender-statistics/dgs/indicator/ta_timeuse_soclesact_sport__hlth_ehis_pe2e/bar/year:2019/geo:EU28,EU27_2020/duration:MN0/unit:PC/isced11:TOTAL/sex:T,M,W/age:TOTAL>
    Back to article
  21. 21Fagerland, M. W., & Hosmer, D. W. (2017). How to Test for Goodness of Fit in Ordinal Logistic Regression Models. Stata Journal, 17(3), pp. 668–686. DOI: 10.1177/1536867X1701700308
    Back to article
  22. 22Falk, E., & Scholz, C. (2018). Persuasion, Influence, and Value: Perspectives from Communication and Social Neuroscience. Annual Review of Psychology, 69(1), pp. 329–356. DOI: 10.1146/annurev-psych-122216-011821
    Back to article
  23. 23Faralla, V., Novarese, M., & Ardizzone, A. (2017). Framing Effects in Intertemporal Choice: A Nudge Experiment. Journal of Behavioral and Experimental Economics [Online], 71, pp. 13–25. Available from: <http://linkinghub.elsevier.com/retrieve/pii/S2214804317301003>. DOI: 10.1016/j.socec.2017.09.002
    Back to article
  24. 24Fugate, D. L. (2007). Neuromarketing: A Layman’s Look at Neuroscience and Its Potential Application to Marketing Practice. Journal of Consumer Marketing, 24(7), pp. 385–394. DOI: 10.1108/07363760710834807
    Back to article
  25. 25Garber, C. E., Allsworth, J. E., Marcus, B. H., Hesser, J., & Lapane, K. L. (2008). Correlates of the Stages of Change for Physical Activity in a Population Survey. American Journal of Public Health, 98(5), pp. 897–904. DOI: 10.2105/AJPH.2007.123075
    Back to article
  26. 26Gardner, B., Bruijn, G. J. De., & Lally, P. (2011). A Systematic Review and Meta-Analysis of Applications of the Self-Report Habit Index to Nutrition and Physical Activity Behaviours. Annals of Behavioral Medicine, 42(2), pp. 174–187. DOI: 10.1007/s12160-011-9282-0
    Back to article
  27. 27Gardner, B., Lally, P., & Wardle, J. (2012). Making Health Habitual: The Psychology of ‘habit Formation’ and General Practice. British Journal of General Practice, 62(605), pp. 664–666. DOI: 10.3399/bjgp12X659466
    Back to article
  28. 28Gifford, R. D., & Chen, A. K. S. (2017). Why Aren’t We Taking Action? Psychological Barriers to Climate-Positive Food Choices. Climatic Change [Online], 140(2), pp. 165–178. DOI: 10.1007/s10584-016-1830-y
    Back to article
  29. 29Golsteyn, B. H. H., Grönqvist, H., & Lindahl, L. (2014). Adolescent Time Preferences Predict Lifetime Outcomes. Economic Journal, 124(580), pp. F739–F761. DOI: 10.1111/ecoj.12095
    Back to article
  30. 30Gurgu, E., Gurgu, I.-A., & Tonis, R. B. M. (2020). Neuromarketing for a Better Understanding of Consumer Needs and Emotions. Independent Journal of Management & Production, 11(1), p. 208. DOI: 10.14807/ijmp.v11i1.993
    Back to article
  31. 31Guthold, R., Stevens, G. A., Riley, L. M., & Bull, F. C. (2018). Worldwide Trends in Insufficient Physical Activity from 2001 to 2016: A Pooled Analysis of 358 Population-Based Surveys with 1·9 Million Participants. The Lancet Global Health [Online], 6(10), pp. e1077–e1086. DOI: 10.1016/S2214-109X(18)30357-7
    Back to article
  32. 32Haas, S., & Nigg, C. R. (2009). Construct Validation of the Stages of Change with Strenuous, Moderate, and Mild Physical Activity and Sedentary Behaviour among Children. Journal of Science and Medicine in Sport, 12(5), pp. 586–591. DOI: 10.1016/j.jsams.2008.11.001
    Back to article
  33. 33Hanneman. (2012). Logistic Regression Analysis.
    Back to article
  34. 34Harris, J. M., Ciorciari, J., & Gountas, J. (2018). Public Health Social Media Communications and Consumer Neuroscience. Cogent Psychology [Online], 5(1). DOI: 10.1080/23311908.2018.1434058
    Back to article
  35. 35Holopainen, M., & Pulkkinen, P. (2013). Tilastolliset Menetelmät. 5th–8th ed. Helsinki: Sanoma PRO.
    Back to article
  36. 36Holt, C., & Laury, S. (2002). Risk Aversion and Incentive Effects. The American Economic Review, 92(5), pp. 1644–1655. DOI: 10.1257/000282802762024700
    Back to article
  37. 37Howard, G. (2016). On Linking Risk Preferences and Time Preferences When Estimating Incentive Effects. Economics Letters [Online], 143, pp. 87–89. DOI: 10.1016/j.econlet.2016.04.001
    Back to article
  38. 38Hubert, M., Hubert, M., Linzmajer, M., Riedl, R., & Kenning, P. (2018). Trust Me If You Can – Neurophysiological Insights on the Influence of Consumer Impulsiveness on Trustworthiness Evaluations in Online Settings. European Journal of Marketing, 52(1–2), pp. 118–146. DOI: 10.1108/EJM-12-2016-0870
    Back to article
  39. 39Husu, P., Sievänen, H., Tokola, K., Suni, J., Vähä-Ypyä, H., Mänttäri, A., & Vasankari, T. (2018). Suomalaisten objektiivisesti mitattu fyysinen aktiivisuus, paikallaanolo ja fyysinen kunto [Online]. Helsinki: Finnish Ministry of Education and Culture. Available from: <http://urn.fi/URN:ISBN:978-952-263-585-3>
    Back to article
  40. 40Husu, P., Suni, J., Vähä-Ypyä, H., Sievänen, H., Tokola, K., Valkeinen, H., Mäki-Opas, T., & Vasankari, T. (2016). Objectively Measured Sedentary Behavior and Physical Activity in a Sample of Finnish Adults: A Cross-Sectional Study. BMC Public Health [Online], 16(1), pp. 1–11. DOI: 10.1186/s12889-016-3591-y
    Back to article
  41. 41Israel, A., Rosenboim, M., & Shavit, T. (2014). Using Priming Manipulations to Affect Time Preferences and Risk Aversion: An Experimental Study. Journal of Behavioral and Experimental Economics [Online], 53, pp. 36–43. DOI: 10.1016/j.socec.2014.08.006
    Back to article
  42. 42Kahneman, D., & Tversky, A. (1979). Prospect Theory: An Analysis of Decision under Risk. Econometrica, 47(2), pp. 263-. DOI: 10.2307/1914185
    Back to article
  43. 43Kang, M. Il., & Ikeda, S. (2016). Time Discounting, Present Biases, and Health-Related Behaviors: Evidence from Japan. Economics and Human Biology [Online], 21, pp. 122–136. DOI: 10.1016/j.ehb.2015.09.005
    Back to article
  44. 44Khan, U., & Dhar, R. (2006). Licensing Effect in Consumer Choice. Journal of Marketing Research, 43(2), pp. 259–266. DOI: 10.1509/jmkr.43.2.259
    Back to article
  45. 45Kokko, S., Mehtälä, A., Villberg, J., Ng, K., & Hämylä, R. (2016). Itsearvioitu liikunta-aktiivisuus, istuminen ja ruutuaika sekä liikkumisen seurantalaitteet ja -sovellukset [Online]. In: S. Kokko, & A Mehtälä (Eds.), Lasten ja nuorten liikuntakäyttäytyminen Suomessa. LIITU-tutkimuksen tuloksia. Helsinki: Finnish National Sports Council, pp. 10–15. Available from: <https://www.liikuntaneuvosto.fi/wp-content/uploads/2019/09/LIITU_2016.pdf>
    Back to article
  46. 46Komlos, J., Smith, P. K., & Bogin, B. (2004). Obesity and the Rate of Time Preference: Is There a Connection? Journal of Biosocial Science [Online], 36(2), pp. 209–219. Available from: <https://www.cambridge.org/core/product/identifier/S0021932003006205/type/journal_article>. DOI: 10.1017/S0021932003006205
    Back to article
  47. 47Kosteas, V. D. (2015). Physical Activity and Time Preference. International Journal of Health Economics and Management, 15(4), pp. 361–386. DOI: 10.1007/s10754-015-9173-1
    Back to article
  48. 48LeComte, R. S., Sofis, M. J., & Jarmolowicz, D. P. (2020). Independent Effects of Ideal Body Image Valuation and Delay Discounting on Proximal and Typical Levels of Physical Activity. Psychological Record, 70(1), pp. 75–82. DOI: 10.1007/s40732-019-00369-y
    Back to article
  49. 49Lee, N., Chamberlain, L., & Brandes, L. (2018). Welcome to the Jungle! The Neuromarketing Literature through the Eyes of a Newcomer. European Journal of Marketing, 52(1–2), pp. 4–38. DOI: 10.1108/EJM-02-2017-0122
    Back to article
  50. 50Leonard, T., & Shuval, K. (2017). Behavioral Economics: Tools for Promotion of Physical Activity. In: Y. Hanoch, A. Barnes, & T. Rice (Eds.), Behavioral Economics and Healthy Behaviors. Key Concepts and Current Research. 1st ed. New York: Routledge, pp. 70–89. DOI: 10.4324/9781315637938-5
    Back to article
  51. 51Leonard, T., Shuval, K., Oliveira, A. de, Skinner, C. S., Eckel, C., & Murdoch, J. (2013). Health Behavior and Behavioral Economics: Economic Preferences and Physical Activity Stages of Change in a Low-Income African American Community. American Journal of Health promotion, 27(4), pp. 211–221. DOI: 10.4278/ajhp.110624-QUAN-264
    Back to article
  52. 52Lichters, M., Brunnlieb, C., Nave, G., Sarstedt, M., & Vogt, B. (2016). The Influence Serotonin Deficiency on Choice Deferral and the Compromise. Journal of Marketing Research, 53(2), pp. 183–198. DOI: 10.1509/jmr.14.0482
    Back to article
  53. 53Lim, M. S. M., & Rogers, R. D. (2017). Chinese Beliefs in Luck Are Linked to Gambling Problems via Strengthened Cognitive Biases: A Mediation Test. Journal of Gambling Studies, 33(4), pp. 1325–1336. DOI: 10.1007/s10899-017-9690-6
    Back to article
  54. 54Marcus, B. H., Rossi, Joseph, S., Selby, V. C., Niaura, R. S., & Abrams, D. B. (1992). The Stages and Processes of Exercise Adoption and Maintenance in a Worksite Sample. Health Psychology [Online], 11(6), pp. 386–395. Available from: <http://ovidsp.ovid.com/ovidweb.cgi?T=JS&PAGE=reference&D=emed2&NEWS=N&AN=1286658>. DOI: 10.1037/0278-6133.11.6.386
    Back to article
  55. 55Masterson, T. D., Stein, W. M., Beidler, E., Bermudez, M., English, L. K., & Keller, K. L. (2019). Brain Response to Food Brands Correlates with Increased Intake from Branded Meals in Children: An FMRI Study. Brain Imaging and Behavior, 13(4), pp. 1035–1048. DOI: 10.1007/s11682-018-9919-8
    Back to article
  56. 56Metsämuuronen, J. (2008). Monimuuttujamenetelmien Perusteet. Helsinki: International Methelp.
    Back to article
  57. 57Milkman, K. L., Rogers, T., & Bazerman, M. H. (2008). Harnessing Our Inner Angels and Demons. Perspectives on Psychological Science, 3(4), pp. 324–338. DOI: 10.1111/j.1745-6924.2008.00083.x
    Back to article
  58. 58Miura, T. (2019). Does Time Preference Affect Smoking Behavior. A Dynamic Panel Analysis. Journal of Behavioral and Experimental Economics, 78(C), pp. 170–180. DOI: 10.1016/j.socec.2018.11.001
    Back to article
  59. 59Modica, E., Rossi, D., Cartocci, G., Perrotta, D., Feo, P. di, Mancini, M., Aricò, P., Inguscio, B. M. S., & Babiloni, F. (2018). Neurophysiological Profile of Antismoking Campaigns. Computational Intelligence and Neuroscience, 2018. DOI: 10.1155/2018/9721561
    Back to article
  60. 60Monin, B., & Miller, D. T. (2001). Moral Credentials and the Expression of Prejudice. Journal of Personality and Social Psychology, 81(1), pp. 33–43. DOI: 10.1037/0022-3514.81.1.33
    Back to article
  61. 61Mostafa, M. M. (2014). Functional Neuroimaging Applications in Marketing: Some Methodological and Statistical Considerations: Qualitative Market Research, 17(4), pp. 343–372. DOI: 10.1108/QMR-06-2011-0003
    Back to article
  62. 62National Advisory Board on Research Ethics. (2009). Ethical Principles of Research in the Humanities and Social and Behavioural Sciences and Proposals for Ethical Review [Online]. Available from: <https://tenk.fi/sites/tenk.fi/files/ethicalprinciples.pdf>
    Back to article
  63. 63Ng, K., Sainio, P., & Sit, C. (2019). Physical Activity of Adolescents with and without Disabilities from a Complete Enumeration Study (N = 128,803): School Health Promotion Study 2017. International Journal of Environmental Research and Public Health, 16(17), pp. 1–13. DOI: 10.3390/ijerph16173156
    Back to article
  64. 64Nummenmaa, L. (2009). Käyttäytymistieteiden Tilastolliset Menetelmät. Helsinki: Tammi.
    Back to article
  65. 65Nummenmaa, L., Holopainen, M., & Pulkkinen, P. (2019). Tilastollisten Menetelmien Perusteet. 1st–5th ed. Helsinki: Sanoma PRO.
    Back to article
  66. 66Obrien, K., Agostino, J., Ciszek, K., & Douglas, K. A. (2020). Physical Activity and Risk of Behavioural and Mental Health Disorders in Kindergarten Children: Analysis of a Series of Cross-Sectional Complete Enumeration (Census) Surveys. BMJ Open, 10(3). DOI: 10.1136/bmjopen-2019-034847
    Back to article
  67. 67Patterson, E., McGeough, D., Cannon, E., Hagströmer, M., Bergman, P., Kearney, J., & Sjöström, M. (2006). Self-Efficacy, Stages of Change and Physical Activity in Irish College Students. Journal of Public Health, 14(2), pp. 81–86. DOI: 10.1007/s10389-006-0028-6
    Back to article
  68. 68Petit, O., Merunka, D., Anton, J. L., Nazarian, B., Spence, C., Cheok, A. D., Raccah, D., & Oullier, O. (2016). Health and Pleasure in Consumers’ Dietary Food Choices: Individual Differences in the Brain’s Value System. PLoS ONE, 11(7), pp. 1–15. DOI: 10.1371/journal.pone.0156333
    Back to article
  69. 69Plotnikoff, R. C., Lippke, S., Johnson, S. T., & Courneya, K. S. (2010). Physical Activity and Stages of Change: A Longitudinal Test in Types 1 and 2 Diabetes Samples. Annals of Behavioral Medicine, 40(2), pp. 138–149. DOI: 10.1007/s12160-010-9193-5
    Back to article
  70. 70Pol, M. van der, Hennessy, D., & Manns, B. (2017). The Role of Time and Risk Preferences in Adherence to Physician Advice on Health Behavior Change. European Journal of Health Economics, 18(3), pp. 373–386. DOI: 10.1007/s10198-016-0800-7
    Back to article
  71. 71Post, T., Assem, M. van den, Baltussen, G., & Thaler, R. H. (2008). Deal or No Deal? Decision Making under Risk in a Large-Stake TV Game Show and Related Experiments. American Economic Review [Online], 98(1), pp. 38–71. DOI: 10.1257/aer.98.1.38
    Back to article
  72. 72Prinsen, S., Evers, C., & Ridder, D. T. D. de. (2019). Justified Indulgence: Self-Licensing Effects on Caloric Consumption. Psychology and Health [Online], 34(1), pp. 24–43. DOI: 10.1080/08870446.2018.1508683
    Back to article
  73. 73Prochaska, J. O., & DiClemente, C. C. (1983). Stages and Processes of Self-Change of Smoking: Toward an Integrative Model of Change. Journal of Consulting and Clinical Psychology, 51(3), pp. 390–395. DOI: 10.1037/0022-006X.51.3.390
    Back to article
  74. 74Rabin, M., & O’Donoghue, T. (1999). Doing It Now or Later. American Economic Review [Online], 89(1), pp. 103–124. Available from: <http://ideas.repec.org/a/aea/aecrev/v89y1999i1p103-124.html>. DOI: 10.1257/aer.89.1.103
    Back to article
  75. 75Reimann, M., Castaño, R., Zaichkowsky, J., & Bechara, A. (2012). How We Relate to Brands: Psychological and Neurophysiological Insights into Consumer-Brand Relationships. Journal of Consumer Psychology [Online], 22(1), pp. 128–142. DOI: 10.1016/j.jcps.2011.11.003
    Back to article
  76. 76Rhodes, S. D., Bowie, D. A., & Hergenrather, K. C. (2003). Collecting Behavioural Data Using the World Wide Web: Considerations for Researchers. Journal of Epidemiology and Community Health, 57(1), pp. 68–73. DOI: 10.1136/jech.57.1.68
    Back to article
  77. 77Riebe, D., Garber, C. E., Rossi, J. S., Greaney, M. L., Nigg, C. R., Lees, F. D., Burbank, P. M., & Clark, P. G. (2005). Physical Activity, Physical Function, and Stages of Change in Older Adults. American Journal of Health Behavior [Online], 29(1), pp. 70–80. Available from: <http://search.ebscohost.com/login.aspx?direct=true&db=rzh&AN=106633732&site=ehost-live>. DOI: 10.5993/AJHB.29.1.6
    Back to article
  78. 78Roberto, C. A., & Kawachi, I. (2014). Use of Psychology and Behavioral Economics to Promote Healthy Eating. American Journal of Preventive Medicine [Online], 47(6), pp. 832–837. DOI: 10.1016/j.amepre.2014.08.002
    Back to article
  79. 79Rosenkilde, M., Auerbach, P., Reichkendler, M. H., Ploug, T., Stallknecht, B. M., & Sjödin, A. (2012). Body Fat Loss and Compensatory Mechanisms in Response to Different Doses of Aerobic Exercise—a Randomized Controlled Trial in Overweight Sedentary Males. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, 303(6), pp. R571–R579. DOI: 10.1152/ajpregu.00141.2012
    Back to article
  80. 80Sahi, S. K. (2017). Psychological Biases of Individual Investors and Financial Satisfaction. Journal of Consumer Behaviour, 16(6), pp. 511–535. DOI: 10.1002/cb.1644
    Back to article
  81. 81Samuelson, A., & Zeckhouser, R. (1988). Status Quo Bias in Decision Making. pp. 7–59. DOI: 10.1007/BF00055564
    Back to article
  82. 82Scopelliti, I., Morewedge, C. K., Mccormick, E., Min, H. L., Lebrecht, S., & Kassam, K. S. (2015). Bias Blind Spot: Structure, Measurement, and Consequences. Management Science, 61(10), pp. 2468–2486. DOI: 10.1287/mnsc.2014.2096
    Back to article
  83. 83Shiv, B., Bechara, A., Levin, I., Alba, J. W., Bettman, J. R., Dube, L., Isen, A., Mellers, B., Smidts, A., Grant, S. J., & McGraw, A. P. (2005). Decision Neuroscience. Marketing Letters [Online], 16(3/4), pp. 375–386. Available from: <https://faculty.fuqua.duke.edu/~jrb12/bio/Jim/shivetalchoiceconf.pdf>. DOI: 10.1007/s11002-005-5899-8
    Back to article
  84. 84Shuval, K., Drope, J., Stoklosa, M., Yaroch, A. L., Pachucki, M. C., & Harding, M. (2017). Time Preferences and Physical Activity: Insights from Behavioral Economics. Health Behavior and Policy Review [Online], 4(1), pp. 53–59. Available from: <http://www.ingentaconnect.com/content/10.14485/HBPR.4.1.6>. DOI: 10.14485/HBPR.4.1.6
    Back to article
  85. 85Shuval, K., Si, X., Nguyen, B., & Leonard, T. (2015). Utilizing Behavioral Economics to Understand Adherence to Physical Activity Guidelines Among a Low-Income Urban Community. Journal of Physical Activity and Health [Online], 12(7), pp. 947–953. DOI: 10.1123/jpah.2014-0203
    Back to article
  86. 86Smith, P. K., Bogin, B., & Bishai, D. (2005). Are Time Preference and Body Mass Index Associated? Evidence from the National Longitudinal Survey of Youth. Economics and Human Biology, 3(2 SPEC. ISS.), pp. 259–270. DOI: 10.1016/j.ehb.2005.05.001
    Back to article
  87. 87Sniehotta, F. F., Scholz, U., & Schwarzer, R. (2005). Bridging the Intention-Behaviour Gap: Planning, Self-Efficacy, and Action Control in the Adoption and Maintenance of Physical Exercise. Psychology and Health, 20(2), pp. 143–160. DOI: 10.1080/08870440512331317670
    Back to article
  88. 88Steenbergh, T. A., Meyers, A. W., May, R. K., & Whelan, J. P. (2002). Development and Validation of the Gamblers’ Beliefs Questionnaire. Psychology of Addictive Behaviors, 16(2), pp. 143–149. DOI: 10.1037/0893-164X.16.2.143
    Back to article
  89. 89Stoklosa, M., Shuval, K., Drope, J., Tchernis, R., Pachucki, M., Yaroch, A., & Harding, M. (2018). The Intergenerational Transmission of Obesity: The Role of Time Preferences and Self-Control. Economics and Human Biology [Online], 28, pp. 92–106. DOI: 10.1016/j.ehb.2017.12.004
    Back to article
  90. 90Suomen Telecenter Oy. (2017). Financial Statement and Audit Report.
    Back to article
  91. 91Tappe, K. A., & Glanz, K. (2013). Measurement of Exercise Habits and Prediction of Leisure-Time Activity in Established Exercise. Psychology, Health and Medicine, 18(5), pp. 601–611. DOI: 10.1080/13548506.2013.764458
    Back to article
  92. 92Telpaz, A., Webb, R., & Levy, D. J. (2015). Using EEG to Predict Consumers’ Future Choices. Journal of Marketing Research, 52(4), pp. 511–529. DOI: 10.1509/jmr.13.0564
    Back to article
  93. 93Thaler, R. H., Sunstein, C. R., & Balz, J. P. (2010). Choice Architecture. Social Science Research Network [Online]. DOI: 10.2139/ssrn.1583509
    Back to article
  94. 94Thorgeirsson, T., & Kawachi, I. (2013). Behavioral Economics: Merging Psychology and Economics for Lifestyle Interventions. American Journal of Preventive Medicine [Online], 44(2), pp. 185–189. DOI: 10.1016/j.amepre.2012.10.008
    Back to article
  95. 95Tversky, A., & Kahneman, D. (1991). Loss Aversion in Riskless Choice. A Reference-Dependent Mod. The Quarterly Journal of Economics, pp. 1039–1061. DOI: 10.2307/2937956
    Back to article
  96. 96Tversky, A., & Kahneman, D. (1992). Advances in Prospect-Theory – Cumulative Representation of Uncertainty. Journal of Risk and Uncertainty, 5(4), pp. 297–323. DOI: 10.1007/BF00122574
    Back to article
  97. 97UCLA Institute for Digital Research and Education. (2021). Statistical Consulting. Ordered Logistic Regression. [Online]. Available from: <https://stats.idre.ucla.edu/spss/output/ordered-logistic-regression/> [Accessed 15 August 2021].
    Back to article
  98. 98UKK Institute. (2021). Physical Activity Pie 2021 [Online]. UKK Institute Products & Services. Available from: <https://ukkinstituutti.fi/en/products-services/physical-activity-pie/> [Accessed 13 May 2021].
    Back to article
  99. 99U. S. Department of Health and Human Services. (2018). Physical Activity Guidelines for Americans. [Online]. Available from: <https://health.gov/sites/default/files/2019-09/Physical_Activity_Guidelines_2nd_edition.pdf>
    Back to article
  100. 100Volpp, K. G., & Asch, D. A. (2017). Make the Healthy Choice the Easy Choice: Using Behavioral Economics to Advance a Culture of Health. Qjm, 110(5), pp. 271–275. DOI: 10.1093/qjmed/hcw190
    Back to article
  101. 101Walton, J. A., Hoerr, S. M., & Heine, L. D. (1999). Stages of Change and Physical Activity Following After-School Intervention in Fifth and Sixth Graders. Medicine & Science in Sports & Exercise, 31(Supplement), p. S91. DOI: 10.1097/00005768-199905001-00300
    Back to article
  102. 102Webb, T. L., & Sheeran, P. (2006). Does Changing Behavioral Intentions Engender Behavior Change? A Meta-Analysis of the Experimental Evidence. Psychological Bulletin, 132(2), pp. 249–268. DOI: 10.1037/0033-2909.132.2.249
    Back to article
  103. 103Wood, W., & Neal, D. T. (2009). The Habitual Consumer. Journal of Consumer Psychology [Online], 19(4), pp. 579–592. DOI: 10.1016/j.jcps.2009.08.003
    Back to article
  104. 104World Health Organization. (2010). Body Mass Index – BMI [Online]. Available from: <https://www.who.int/europe/news-room/fact-sheets/item/a-healthy-lifestyle---who-recommendations> [Accessed 1 August 2023].
    Back to article
  105. 105World Health Organization. (2022). Physical Activity. [Online]. Available from: <https://www.who.int/news-room/fact-sheets/detail/physical-activity> [Accessed 20 January 2023].
    Back to article
  106. 106Xiao, J. J., & Porto, N. (2019). Present Bias and Financial Behavior. Financial Planning Review, 2(2), pp. 1–14. DOI: 10.1002/cfp2.1048
    Back to article
  107. 107Yokum, S., Gearhardt, A. N., Harris, J. L., Brownell, K. D., & Stice, E. (2014). Individual Differences in Striatum Activity to Food Commercials Predict Weight Gain in Adolescents. Obesity, 22(12), pp. 2544–2551. DOI: 10.1002/oby.20882
    Back to article
  108. 108YTJ – The Business Information System. (2020). Suomen Telecenter Oy (Soldem) [Online]. Available from: <https://tietopalvelu.ytj.fi/yritys/2264755-0> [Accessed 1 August 2023].
    Back to article
  109. 109Zhang, L., & Rashad, I. (2008). Obesity and Time Preference: The Health Consequences of Discounting the Future. Journal of Biosocial Science, 40(1), pp. 97–113. DOI: 10.1017/S0021932007002039
    Back to article
  110. 110Zhang, W., Zhao, W., Gao, Y., & Xiao, Z. (2020). How Do Managerial Ties Influence the Effectuation and Causation of Entrepreneurship in China? The Role of Entrepreneurs’ Cognitive Bias. Asia Pacific Business Review [Online], 26(5), pp. 613–641. DOI: 10.1080/13602381.2020.1765537
    Back to article
  111. 111Zhang, Y., Cui, L., Zhang, G., Sarasvathy, S., & Anusha, R. (2019). An Exploratory Study of Antecedents of Entrepreneurial Decision-Making Logics: The Role of Self-Efficacy, Optimism, and Perspective Taking. Emerging Markets Finance and Trade [Online], 55(4), pp. 781–794. DOI: 10.1080/1540496X.2018.1478283
    Back to article
  112. 112Zimmerman, F. J. (2009). Using Behavioral Economics to Promote Physical Activity. Preventive Medicine [Online], 49(4), pp. 289–291. DOI: 10.1016/j.ypmed.2009.07.008
    Back to article
DOI: https://doi.org/10.5334/paah.255 | Journal eISSN: 2515-2270
Journal RSS Feed
Language: English
Submitted on: Jan 21, 2023
Accepted on: Jun 3, 2023
Published on: Aug 8, 2023
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
economic preference,
risk- and time-based decision-making,
physical activity,
stages of change model,
neuromarketing

© 2023 Laura Vainio, Jarmo Heinonen, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.

Previous articleVolume 7 (2023): Issue 1Next article