Improving adult eating behaviours by manipulating time perspective: a systematic review and meta-analysis

References

• Andre, L., van Vianen, A. E., Peetsma, T. T., & Oort, F. J. (2018). Motivational power of future time perspective: Meta-analyses in education, work, and health. Plos One, 13(1), e0190492. https://doi.org/10.1371/journal.pone.0190492
   PubMed Web of Science ®Google Scholar
• Athamneh, L. N., Stein, M. D., Lin, E. H., Stein, J. S., Mellis, A. M., Gatchalian, K. M., Epstein, L. H., & Bickel, W. K. (2021). Setting a goal could help you control: Comparing the effect of health goal versus general episodic future thinking on health behaviors among cigarette smokers and obese individuals. Experimental and Clinical Psychopharmacology, 29(1), 59–72. https://doi.org/10.1037/pha0000351
   PubMed Web of Science ®Google Scholar
• Baird, H., M., Webb, T., L., Sirois, F., M., & Gibson-Miller, J. (2021). Understanding the effects of time perspective: A meta-analysis testing a self-regulatory framework. Psychological Bulletin, 147(3), 233–267. https://doi.org/10.1037/bul0000313
   PubMed Web of Science ®Google Scholar
• Bernstein, M. H., Wood, M. D., & Erickson, L. R. (2016). The effectiveness of message framing and temporal context on college student alcohol use and problems: A selective e-mail intervention. Alcohol and Alcoholism, 51(1), 106–116. https://doi.org/10.1093/alcalc/agv091
   PubMed Web of Science ®Google Scholar
• Brockmeyer, T., Simon, J. J., Becker, A., & Friederich, H. C. (2017). Reward-related decision making and long-term weight loss maintenance. Physiology & Behavior, 181(2017), 69–74. https://doi.org/10.1016/j.physbeh.2017.09.008
   PubMedGoogle Scholar
• Chang, B. P., Claassen, M. A., & Klein, O. (2020). The time is ripe: Thinking about the future reduces unhealthy eating in those with a higher BMI. Foods, 9(10), 1391. https://doi.org/10.3390/foods9101391
   PubMed Web of Science ®Google Scholar
• Chew, H. S. J., & Chng, S. (2021). COVID-19 pandemic response behaviors: A Singapore experience of the “circuit breaker”. Translational Behavioral Medicine, 11(3), 808–813. https://doi.org/10.1093/tbm/ibaa135
   PubMed Web of Science ®Google Scholar
• Chew, H. S. J., Sim, K. L. D., & Choi, K. C. (2020). Relationship between self-care adherence, time perspective, readiness to change and executive function in patients with heart failure. Journal of Behavioral Medicine, 43(4), 1–11.
   Google Scholar
• Chew, H. S. J., Sim, K. L. D., Choi, K. C., & Chair, S. Y. (2021). Effectiveness of a nurse-led temporal self-regulation theory-based program on heart failure self-care: A randomized controlled trial. International Journal of Nursing Studies, 115, 103872. https://doi.org/10.1016/j.ijnurstu.2021.103872
   PubMed Web of Science ®Google Scholar
• Chew, H., & S. J., Achananuparp, P. (2022). Perceptions and needs of artificial intelligence in health care to increase adoption: Scoping review. Journal of Medical Internet Research, 24(1), e32939. https://doi.org/10.2196/32939
   PubMed Web of Science ®Google Scholar
• Churchill, S., Good, A., & Pavey, L. (2014). Promoting the avoidance of high-calorie snacks. The role of temporal message framing and eating self-efficacy. Appetite, 80, 131–136. https://doi.org/10.1016/j.appet.2014.05.008
   PubMed Web of Science ®Google Scholar
• Daly, M., Hall, P. A., & Allan, J. L. (2019). Time perspective and all-cause mortality: Evidence from the English longitudinal study of ageing. Annals of Behavioral Medicine, 53(5), 486–492. https://doi.org/10.1093/abm/kay046
   PubMed Web of Science ®Google Scholar
• Daniel, T. O., Stanton, C. M., & Epstein, L. H. (2013). The future is now: Reducing impulsivity and energy intake using episodic future thinking. Psychological science, 24(11), 2339–2342. https://doi.org/10.1177/0956797613488780
   PubMed Web of Science ®Google Scholar
• Dassen, F. C. M., Jansen, A., Nederkoorn, C., & Houben, K. (2016). Focus on the future: Episodic future thinking reduces discount rate and snacking. Appetite, 96, 327–332. https://doi.org/10.1016/j.appet.2015.09.032
   PubMed Web of Science ®Google Scholar
• de Bruijn, G. J., & Budding, J. (2016). Temporal consequences, message framing, and consideration of future consequences: Persuasion effects on adult fruit intake intention and resolve. Journal of Health Communication, 21(8), 944–953. https://doi.org/10.1080/10810730.2016.1179366
   PubMed Web of Science ®Google Scholar
• de Bruijn, G. J., Spaans, P., Jansen, B., & Van ‘t Riet, J. (2016). Testing the effects of a message framing intervention on intentions towards hearing loss prevention in adolescents. Health education Research, 31(2), 161–170. https://doi.org/10.1093/her/cyw00
   PubMed Web of Science ®Google Scholar
• DeHart, W. B., Snider, S. E., Pope, D. A., & Bickel, W. K. (2020). A reinforcer pathology model of health behaviors in individuals with obesity. Health Psychology, 39(11), 966–974. https://doi.org/10.1037/hea0000995
   PubMed Web of Science ®Google Scholar
• Egger, G., & Dixon, J. (2014). Beyond obesity and lifestyle: A review of 21st century chronic disease determinants. BioMed Research International, 2014, 1–12. https://doi.org/10.1155/2014/731685
   Web of Science ®Google Scholar
• Forcano, L., Mata, F., de la Torre, R., & Verdejo-Garcia, A. (2018). Cognitive and neuromodulation strategies for unhealthy eating and obesity: Systematic review and discussion of neurocognitive mechanisms. Neuroscience and Biobehavioral Reviews, 87, 161–191. https://doi.org/10.1016/j.neubiorev.2018.02.003
   PubMed Web of Science ®Google Scholar
• Gerend, M. A., & Cullen, M. (2008). Effects of message framing and temporal context on college student drinking behaviour. Journal of Experimental Social Psychology, 44(4), 1167–1173. https://doi.org/10.1016/j.jesp.2008.02.007
   Web of Science ®Google Scholar
• Gunstad, J., Sanborn, V., & Hawkins, M. (2020). Cognitive dysfunction is a risk factor for overeating and obesity. The American Psychologist, 75(2), 219–234. https://doi.org/10.1037/amp0000585
   PubMed Web of Science ®Google Scholar
• Hall, P. A., & Fong, G. T. (2007). Temporal self-regulation theory: A model for individual health behavior. Health Psychology Review, 1(1), 6–52. https://doi.org/10.1080/17437190701492437
   Google Scholar
• Hall, P. A., & Fong, G. T. (2015). Temporal self-regulation theory: A neurobiologically informed model for physical activity behavior. Frontiers in Human Neuroscience, 9, 117.
   Google Scholar
• Henry, H., Zacher, H., & Desmette, D. (2017). Future time perspective in the work context: A systematic review of quantitative studies. Frontiers in Psychology, 8(413), 413–422. https://doi.org/10.3389/fpsyg.2017.00413
   PubMedGoogle Scholar
• Higgins, J. P., Thomas, J., Chandler, J., Cumpston, M., Li, T., Page, M. J., & Welch, V. A. (2019). Cochrane handbook for systematic reviews of interventions. Wiley. https://doi.org/10.1002/9781119536604
   Google Scholar
• Hing Lo, S., Smith, S., Taylor, M., Good, A., & Von Wagner, C. (2012). The effect of temporal framing on behavioural intentions, expectations, and behaviour: The case of healthy eating. Journal of Applied Biobehavioural Research, 17(3), 202–213. https://doi.org/10.1111/j.1751-9861.2012.00085.x
   Google Scholar
• Hollis-Hansen, K., Seidman, J., O’Donnell, S., & Epstein, L. H. (2020b). Mothers’ DASH diet adherence and food purchases after week-long episodic future thinking intervention. Appetite, 154(2020), 104757. https://doi.org/10.1016/j.appet.2020.104757
   PubMedGoogle Scholar
• Hollis-Hansen, K., Seidman, J., O’Donnell, S., Wedderburn, A., Stanar, S., Brande, S., & Epstein, L. H. (2020a). An ecological momentary episodic future thinking intervention on mother’s weekly food purchases. Health Psychology, 39(2), 159–167. https://doi.org/10.1037/hea0000817
   PubMed Web of Science ®Google Scholar
• IntHout, J., Ioannidis, J., & Borm, G. F. (2014). The Hartung-Knapp-Sidik-Jonkman method for random effects meta-analysis is straightforward and considerably outperforms the standard DerSimonian-Laird method. BMC Medical Research Methodology, 14(1), 1–12. http://www.biomedcentral.com/1471-2288/14/25 https://doi.org/10.1186/1471-2288-14-25
   PubMedGoogle Scholar
• Joanna Briggs Institute. (2017). Critical appraisal checklist for quasi-experimental studies. The Joanna Briggs Institute critical appraisal tools for use in JBI systematic reviews, 1–7. https://jbi.global/sites/default/files/2019-05/JBI_Quasi-Experimental_Appraisal_Tool2017_0.pdf
   Google Scholar
• Kahneman, D., & Tversky, A. (1979). On the interpretation of intuitive probability: A reply to Jonathan Cohen.
   Google Scholar
• Kakoschke, N., Hawker, C., Castine, B., de Courten, B., & Verdejo-Garcia, A. (2018). Smartphone-based cognitive bias modification training improves healthy food choice in obesity: A pilot study. European Eating Disorders Review, 26(5), 526–532. https://doi.org/10.1002/erv.2622
   PubMed Web of Science ®Google Scholar
• Kooij, D. T., Kanfer, R., Betts, M., & Rudolph, C. W. (2018). Future time perspective: A systematic review and meta-analysis. The Journal of Applied Psychology, 103(8), 867–893. https://doi.org/10.1037/apl0000306
   PubMed Web of Science ®Google Scholar
• Laureiro-Martinez, D., Trujillo, C. A., & Unda, J. (2017). Time perspective and age: A review of age associated differences. Frontiers in Psychology, 8(101), 101–108. https://doi.org/10.3389/fpsyg.2017.00101
   PubMedGoogle Scholar
• Lewin, K. (1942). Time perspective and morale. In G. Watson (Ed.), Civilian morale: Second yearbook of the society for the psychological study of social issues (pp. 48–70). Houghton Mifflin Company. https://doi.org/10.1037/13983-004
   Google Scholar
• Moreno-Padilla, M., Fernández-Serrano, M. J., & Reyes Del Paso, G. A. (2018). Risky decision-making after exposure to a food-choice task in excess weight adolescents: Relationships with reward-related impulsivity and hunger. PloS one, 13(8), e0202994. https://doi.org/10.1371/journal.pone.0202994
   PubMed Web of Science ®Google Scholar
• Nystrand, B. T., Olsen, S. O., & Tudoran, A. A. (2021). (2021). Individual differences in functional food consumption: The role of time perspective and the Big Five personality traits. Appetite, 156, 104979–104911. https://doi.org/10.1016/j.appet.2020.104979
   PubMed Web of Science ®Google Scholar
• O’Neill, J., Daniel, T. O., & Epstein, L. H. (2016). Episodic future thinking reduces eating in a food court. Eating Behaviors, 20, 9–13. https://doi.org/10.1016/j.eatbeh.2015.10.002
   PubMed Web of Science ®Google Scholar
• Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., & Moher, D. (2021). Updating guidance for reporting systematic reviews: Development of the PRISMA 2020 statement. Journal of Clinical Epidemiology, 134, 103–112. https://doi.org/10.1016/j.jclinepi.2021.02.003
   PubMed Web of Science ®Google Scholar
• Peters, J., & Büchel, C. (2010). Episodic future thinking reduces reward delay discounting through an enhancement of prefrontal-mediotemporal interactions. Neuron, 66(1), 138–148. https://doi.org/10.1016/j.neuron.2010.03.026
   PubMed Web of Science ®Google Scholar
• Price, M., Higgs, S., & Lee, M. (2017). Self-control mediates the relationship between time perspective and BMI. Appetite, 108, 156–160. https://doi.org/10.1016/j.appet.2016.09.034
   PubMed Web of Science ®Google Scholar
• Rothman, A. J., & Salovey, P. (1997). Shaping perceptions to motivate healthy behavior: The role of message framing. Psychological Bulletin, 121(1), 3.
   Google Scholar
• Schacter, D. L., Benoit, R. G., & Szpunar, K. K. (2017). Episodic future thinking: Mechanisms and functions. Current Opinion in Behavioral Sciences, 17(2017), 41–50. https://doi.org/10.1016/j.cobeha.2017.06.002
   PubMedGoogle Scholar
• Schaumberg, K., Anderson, D. A., Anderson, L. M., Reilly, E. E., & Gorrell, S. J. C. O. (2016). Dietary restraint: What’s the harm? A review of the relationship between dietary restraint, weight trajectory and the development of eating pathology. Clinical Obesity, 6(2), 89–100. https://doi.org/10.1111/cob.12134
   PubMedGoogle Scholar
• Segovia, M. S., Palma, M. A., & Nayga, R. M.Jr, (2020). Can episodic future thinking affect food choices? Journal of Economic Behavior & Organization, 177, 371–389. https://doi.org/10.1016/j.jebo.2020.06.019
   PubMed Web of Science ®Google Scholar
• Sze, Y. Y., Daniel, T. O., Kilanowski, C. K., Collins, R. L., & Epstein, L. H. (2015). Web-based and mobile delivery of an episodic future thinking intervention for overweight and obese families: A feasibility study. JMIR mHealth and uHealth, 3(4), e97. https://doi.org/10.2196/mhealth.4603
   PubMedGoogle Scholar
• Sze, Y. Y., Stein, J. S., Bickel, W. K., Paluch, R. A., & Epstein, L. H. (2017). Bleak present, bright future: Online episodic future thinking, scarcity, delay discounting, and food demand. Clinical Psycholological Science, 5(4), 683–697. https://doi.org/10.1177/2167702617696511
   PubMed Web of Science ®Google Scholar
• Team, R. (2022). RStudio: Integrated development environment for R. RStudio. PBC. http://www.rstudio.com/
   Google Scholar
• Van ‘t Riet, J., Cox, A. D., Cox, D., Zimet, G. D., De Bruijn, G.-J., Van den Putte, B., De Vries, H., Werrij, M. Q., & Ruiter, R. A. C. (2016). Does perceived risk influence the effects of message framing? Revisiting the link between prospect theory and message framing. Health psychology Review, 10(4), 447–459. https://doi.org/10.1080/17437199.2016.1176865
   PubMed Web of Science ®Google Scholar
• Yang, Y., Shields, G. S., Guo, C., & Liu, Y. (2018). Executive function performance in obesity and overweight individuals: A meta-analysis and review. Neuroscience and Biobehavioral Reviews, 84(2018), 225–244. https://doi.org/10.1016/j.neubiorev.2017.11.020
   PubMedGoogle Scholar
• Zimmerman, A. R., Ferriday, D., Davies, S. R., Martin, A. A., Rogers, P. J., Mason, A., & Brunstrom, J. M. (2017). “What time is my next meal?” Delay-discounting individuals choose smaller portions under conditions of uncertainty. Appetite, 116, 284–290. https://doi.org/10.1016/j.appet.2017.05.019
   PubMed Web of Science ®Google Scholar
• Zimmerman, A. R., Mason, A., Rogers, P. J., & Brunstrom, J. M. (2018). Obese and overweight individuals are less sensitive to information about meal times in portion-size judgements. International Journal of Obesity, 42(4), 905–910. https://doi.org/10.1038/ijo.2017.275
   Web of Science ®Google Scholar