Socio-Emotional Status, Education, and Time-Discounting in Japanese Non-Smoking Population: A Multi-Generational Study
Shoko Yamane, Taiki Takahashi, Akiko Kamesaka, Yoshiro Tsutsui, Fumio Ohtake
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DOI: 10.4236/psych.2013.42018   PDF    HTML     5,125 Downloads   8,758 Views   Citations

Abstract

Recent studies in behavioral economics and neuroeconomics have revealed that emotion affects impulsivity in intertemporal choice. We examined the roles of socio-emotional status (i.e., perceived stress, depression, quality of sleep, loneliness) in temporal discounting behavior by Japanese non-smokers in a generation-specific manner (20 - 70 s) with a relatively large sample size (N = 3450). We observed that 1) both men and women are the most impulsive in their 60 s; 2) education has a negative impact on impulsivity in men aged 40 - 49 and women aged 50 - 59; 3) perceived stress has a negative impact on impulsivity in men aged 60 - 69; and 4) sleeplessness has negative and positive impacts on impulsivity in men aged 40 - 49 and women aged 30 - 39, respectively. Biological and social factors underlying observed findings are discussed.


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Yamane, S. , Takahashi, T. , Kamesaka, A. , Tsutsui, Y. & Ohtake, F. (2013). Socio-Emotional Status, Education, and Time-Discounting in Japanese Non-Smoking Population: A Multi-Generational Study. Psychology, 4, 124-132. doi: 10.4236/psych.2013.42018.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] Acheson, A., Richards, J. B., & de Wit, H. (2007). Effects of sleep deprivation on impulsive behaviors in men and women. Physiology & Behavior, 91, 579-587. doi:10.1016/j.physbeh.2007.03.020
[2] Arulampalam, W., Booth, A. L., & Bryan, M. L. (2007). Is there a glass ceiling over Europe? Exploring the gender pay gap across the wages distribution. Industrial and Labor Relations Review, 60, 163-186.
[3] Azmat, G., Guell, M., & Manning, A. (2006). Gender gaps in unemployment rates in OECD countries. Journal of Labor Economics, 24, 1-37. doi:10.1086/497817
[4] Becker, G. S., & Mulligan, C. B. (1997). The endogenous determination of time preference. Quarterly Journal of Economics, 112, 729- 758. doi:10.1162/003355397555334
[5] Berns, G. S., Laibson, D., & Loewenstein, G. (2007). Intertemporal choice: Toward an integrative framework. Trends in Cognitive Sciences, 11, 482-488. doi:10.1016/j.tics.2007.08.011
[6] Bickel, W. K., & Marsch, L. A. (2001). Toward a behavioral economic understanding of drug dependence: Delay discounting processes. Ad- diction, 96, 73-86. doi:10.1046/j.1360-0443.2001.961736.x
[7] Bonsang, E., Adam, S., & Perelman, S. (2012). Does retirement affect cognitive functioning? Journal of Health Economics, 31, 490-501. doi:10.1016/j.jhealeco.2012.03.005
[8] Chabris, C. F., Laibson, D., Morris, C. L., Schuldt, J. P., & Taubinsky, D. (2008). Individual laboratory-measured discount rates predict field behavior. Journal of Risk and Uncertainty, 37, 237-269. doi:10.1007/s11166-008-9053-x
[9] Coe, N. B., & Zamarro, G., (2011). Retirement effects on health in Europe. Journal of Health Economics, 30, 77-86. doi:10.1016/j.jhealeco.2010.11.002
[10] Daly, M., & Wilson, M. (2005). Carpe diem: Adaptation and devaluing the future. The Quarterly Review of Biology, 80, 55-61. doi:10.1086/431025
[11] Ernst, M. (2012). The usefulness of neuroeconomics for the study of depression across adolescence into adulthood. Biological Psychiatry, 72, 84-86. doi:10.1016/j.biopsych.2012.02.027
[12] Fehr-Duda, H., De Gennaro, M., & Schubert, R. (2006). Gender, financial risk, and probability weights. Theory and Decision, 60, 283-313. doi:10.1007/s11238-005-4590-0
[13] Frederick, S., Loewenstein, G., & O’Donoghue, T. (2002). Time dis- counting and time preference: A critical review. Journal of Economic Literature, 40, 351-401. doi:10.1257/002205102320161311
[14] Fujisawa, T. X., Nishitani, S., Ishii, S., & Shinohara, K. (2011). Dif- ferential modulation of impulsive behavior by loneliness and testos- terone in adolescent females. Neuro Endocrinology Letters, 32, 836- 840.
[15] Green, L., Fry, A. F., & Myerson, J. (1994). Discounting of delayed rewards: A life-span comparison. Psychological Science, 5, 33-36. doi:10.1111/j.1467-9280.1994.tb00610.x
[16] Green, L., Myerson, J., & Ostaszewski, P. (1999). Discounting of delayed rewards across the life span: Age differences in individual discounting functions. Behavioural Processes, 46, 89-96. doi:10.1016/S0376-6357(99)00021-2
[17] Hajali, V., Sheibani, V., Esmaeili-Mahani, S., & Shabani, M. (2012). Female rats are more susceptible to the deleterious effects of paradoxical sleep deprivation on cognitive performance. Behavioural Brain Research, 228, 311-318. doi:10.1016/j.bbr.2011.12.008
[18] Ifcher, J., & Zarghamee, H. (2011). Happiness and time preference: The effect of positive affect in a random-assignment experiment. American Economic Review, 101, 3109-3129. doi:10.1257/aer.101.7.3109
[19] Ikeda, S., Kang, M. I., & Ohtake, F. (2010). Hyperbolic discounting, the sign effect, and the body mass index. Journal of Health Econom- ics, 29, 268-284. doi:10.1016/j.jhealeco.2010.01.002
[20] Kimball, M. S., Sahm, C. R., & Shapiro, M. D. (2008). Imputing risk tolerance from survey responses. Journal of the American Statistical Association, 103, 1028-1038. doi:10.1198/016214508000000139
[21] Kimmo, K., & Brent, S. (2010). Emotional reactions to losing explain gender differences in entering a risky lottery. Judgment and Decision Making, 5, 159-163.
[22] Kinari, Y., Ohtake, F., & Tsutsui, Y. (2009). Time discounting: De- clining impatience and interval effect. Journal of Risk and Uncertainty, 39, 87-112. doi:10.1007/s11166-009-9073-1
[23] Kirby, K. N., & Marakovic, N. N. (1996). Delay-discounting probabilistic rewards: Rates decrease as amounts increase. Psychonomic Bul- letin & Review, 3, 100-104. doi:10.3758/BF03210748
[24] Kirby, C., Winston, G., & Santiesteban, M. (2005). Impatience and grades: Delay-discount rates correlate negatively with college GPA. Learning and Individual Differences, 15, 213-222. doi:10.1016/j.lindif.2005.01.003
[25] L?ckenhoff, C. E. (2011). Age, time, and decision making: from processing speed to global time horizons. Annals of the New York Academy of Sciences, 1235, 44-56. doi:10.1111/j.1749-6632.2011.06209.x
[26] L?ckenhoff, C. E., O’Donoghue, T., & Dunning, D. (2011). Age differences in temporal discounting: The role of dispositional affect and anticipated emotions. Psychology and Aging, 26, 274-284. doi:10.1037/a0023280
[27] Loewenstein, G. (1996). Out of control: Visceral influences on behavior. Organizational Behavior and Human Decision Processes, 65, 272-292. doi:10.1006/obhd.1996.0028
[28] Loewenstein, G., Rick, S., & Cohen, J. D. (2008). Neuroeconomics. Annual Review of Psychology, 59, 647-672. doi:10.1146/annurev.psych.59.103006.093710
[29] McClure, S. M., Laibson, D. I., Loewenstein, G., & Cohen, J. D. (2004). Separate neural systems value immediate and delayed monetary rewards. Science, 306, 503-507. doi:10.1126/science.1100907
[30] Menz, M. M., Buchel, C., & Peters, J. (2012). Sleep deprivation is associated with attenuated parametric valuation and control signals in the midbrain during value-based decision making. The Journal of Neuroscience, 32, 6937-6946. doi:10.1523/JNEUROSCI.3553-11.2012
[31] Ohmura, Y., Takahashi, T., & Kitamura, N. (2005). Discounting delayed and probabilistic monetary gains and losses by smokers of cigarette. Psychopharmacology, 182, 508-515. doi:10.1007/s00213-005-0110-8
[32] Peters, J., & Büchel, C. (2010). Episodic future thinking reduces reward delay discounting through an enhancement of prefrontal-mediotemporal interactions. Neuron, 66, 138-148. doi:10.1016/j.neuron.2010.03.026
[33] Phillips, P. E., Kim, J. J., & Lee, D. (2012). Neuroeconomics. Frontiers in Behavioral Neuroscience, 6 . doi:10.3389/fnbeh.2012.00015
[34] Read, D., & Read, N. L. (2004). Time discounting over the lifespan. Organizational Behavior and Human Decision Processes, 94, 22-32. doi:10.1016/j.obhdp.2004.01.002
[35] Reynolds, B., & Schiffbauer, R. M. (2004a). Impulsive choice and workplace safety: A new area of inquiry for research in occupational settings. The Behavior Analyst, 27, 239-246.
[36] Reynolds, B., & Schiffbauer, R. (2004b). Measuring state changes in human delay discounting: an experiential discounting task. Behavioural Processes, 67, 343-356.
[37] Rogers, A. R. (1994). Evolution of time preference by natural selection. American Economic Review, 84, 460-481.
[38] Sapienza, P., Zingales, L., & Maestripieri, D. (2009). Gender differences in financial risk aversion and career choices are affected by testosterone. Proceedings of the National Academy of Sciences, 106, 15268-15273. doi:10.1073/pnas.0907352106
[39] Scholten, M., & Read, D. (2010). The psychology of intertemporal tradeoffs. Psychological Review, 117, 925-944. doi:10.1037/a0019619
[40] Schweighofer, N., Bertin, M., Shishida, K., Okamoto, Y., Tanaka, S. C., Yamawaki, S., & Doya, K. (2008). Low-serotonin levels increase delayed reward discounting in humans. The Journal of Neuroscience, 28, 4528-4532. doi:10.1523/JNEUROSCI.4982-07.2008
[41] Steinberg, L., Graham, S., O’Brien, L., Woolard, J., Cauffman, E., & Banish, M. (2009). Age differences in future orientation and delay discounting. Child Development, 80, 28-44. doi:10.1111/j.1467-8624.2008.01244.x
[42] Takahashi, T. (2004). Cortisol levels and time-discounting of monetary gain in humans. Neuroreport, 15, 2145-2147. doi:10.1097/00001756-200409150-00029
[43] Takahashi, T. (2005). Loss of self-control in intertemporal choice may be attributable to logarithmic time-perception. Medical Hypotheses, 65, 691-693. doi:10.1016/j.mehy.2005.04.040
[44] Takahashi, T. (2009). Theoretical frameworks for neuroeconomics of intertemporal choice. Journal of Neuroscience, Psychology, and Economics, 2, 75-90. doi:10.1037/a0015463
[45] Takahashi, T., Ohmura, Y., Oono, H., & Radford, M. (2009). Alcohol use and discounting of delayed and probabilistic gain and loss. Neuroendocrinology Letters, 30, 749-752.
[46] Takahashi, T., Oono, H., Inoue, T., Boku, S., Kako, Y., Kitaichi, Y., Kusumi, I., Masui, T., Nakagawa, S., Suzuki, K., Tanaka, T., Koyama, T., & Radford, M. H. (2008a). Depressive patients are more impulsive and inconsistent in intertemporal choice behavior for monetary gain and loss than healthy subjects—An analysis based on Tsallis’ statistics. Neuroendocrinology Letters, 29, 351-358.
[47] Takahashi, T., Oono, H., & Radford, M. H. (2008b). Psychophysics of time perception and intertemporal choice models. Physica A, 387, 2066-2074. doi:10.1016/j.physa.2007.11.047
[48] Takahashi, T., Sakaguchi, K., Oki, M., Homma, S., & Hasegawa, T. (2006). Testosterone levels and discounting delayed monetary gains and losses in male humans. Neuroendocrinology Letters, 27, 439- 444.
[49] Takahashi, T., Shinada, M., Inukai, K., Tanida, S., Takahashi, C., Mi- fune, N., Takagishi, H., Horita, Y., Hashimoto, H., Yokota, K., Ka- meda, T., & Yamagishi, T. (2010). Stress hormones predict hyperbolic time-discount rates six months later in adults. Neuroendocrinology Letters, 31, 616-621.
[50] Venkatraman, V., Huettel, S. A., Chuah, L. Y., Payne, J. W., & Chee, M. W. (2011). Sleep deprivation biases the neural mechanisms underlying economic preferences. The Journal of Neuroscience, 31, 3712-3718. doi:10.1523/JNEUROSCI.4407-10.2011

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