Abstract
Past research has shown a negative relationship between time spent watching television (TV) and several indicators of hedonic well-being—including positive affect (PA). However, cross-sectional designs employed in most of these studies do not allow for inferences regarding the direction of the link between TV watching and PA. Present research aimed to address this gap by using daily diary data from a large national sample of U.S. adults (N = 1668, age = 33–83 years). Respondents reported time spent watching TV as well as PA for eight consecutive days. Results of multilevel modeling analyses showed that duration of TV watching on the previous day did not significantly predict changes in PA on the next day. However, PA on the previous day significantly predicted decreases in duration of TV watching the following day. The results held after controlling for factors known to predict duration of TV watching and PA (i.e., age, gender, income level, employment status, marital status, health status, and personality traits). The present research goes beyond past cross-sectional work by shedding light on the direction of the link between TV watching and PA. Our findings indicate that watching TV does not seem to diminish PA—as critics of TV proclaim—but individuals seem to watch TV to a greater extent whenever they experience reduced PA.
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Notes
We estimated the mean level using a null multilevel model. Given that duration of TV watching was measured daily, multilevel modeling provides a better estimate of the mean than the arithmetic average of all observations combined. In a null (or also called intercept-only) model, the intercept is the sample average of the outcome—in this case, duration of TV watching. Mean PA was also estimated using the same approach.
The number of Level 1 units in the lagged outcome analyses was less than that in the concurrent analyses because by definition Day 1 observations do not have a lagged value and hence are missing from the analyses. In addition, for a given day to be included in the analyses, the respondent should provide data both for that particular day and the previous day.
Another possibility is that the effects of TV viewing follow a nonlinear pattern with adverse effects on PA observed only after a certain duration of TV watching is surpassed. We repeated the analyses by adding a quadratic term of TV watching duration to the models as an additional predictor. The quadratic effect of TV watching duration did not significantly predict PA regardless of inclusion of covariates in the model (all ps > 0.396).
We repeated all analyses by replacing PA with negative affect (NA). There was no significant concurrent association between duration of TV watching and NA. In addition, duration of TV watching or the quadratic effect of duration of TV watching on the previous day did not significantly predict changes in NA from the previous day to the next. Finally, NA on the previous day did not significantly predict changes in duration of TV watching from the previous day to the next regardless of inclusion of covariates in the model (all ps > 0.406).
References
Anastassea-Vlachou, K., Fryssira-Kanioura, H., Papathanasiou-Klontza, D., et al. (1996). The effects of television viewing in Greece, and the role of the paediatrician: A familiar triangle revisited. European Journal of Pediatrics, 155(12), 1057–1060. https://doi.org/10.1007/BF02532531.
Bachmann, O., Grunschel, C., & Fries, S. (2018). Multitasking and feeling good? Autonomy of additional activities predicts affect. Journal of Happiness Studies. https://doi.org/10.1007/s10902-018-9973-3.
Bradburn, N. M. (1969). The structure of psychological well-being. Chicago: Aldine.
Bratman, G. N., Daily, G. C., Levy, B. J., & Gross, J. J. (2015). The benefits of nature experience: Improved affect and cognition. Landscape and Urban Planning, 138, 41–50. https://doi.org/10.1016/j.landurbplan.2015.02.005.
Bruni, L., & Stanca, L. (2008). Watching alone: Relational goods, television and happiness. Journal of Economic Behavior & Organization, 65(3–4), 506–528. https://doi.org/10.1016/j.jebo.2005.12.005.
Bureau of Labor Statistics. (2015). Time spent in leisure activities in 2014, by gender, age and educational attainment. Retrieved from United States Department of Labor website: https://www.bls.gov/opub/ted/2015/time-spent-in-leisure-activities-in-2014-by-gender-age-and-educational-attainment.htm. Accessed 19 June 2017.
Cacioppo, J. T., Hawkley, L. C., & Thisted, R. A. (2010). Perceived social isolation makes me sad: 5-year cross-lagged analyses of loneliness and depressive symptomatology in the Chicago Health, Aging, and Social Relations Study. Psychology and Aging, 25(2), 453–463. https://doi.org/10.1037/a0017216.
Caprariello, P. A., & Reis, H. T. (2013). To do, to have, or to share? Valuing experiences over material possessions depends on the involvement of others. Journal of Personality and Social Psychology, 104(2), 199–215. https://doi.org/10.1037/a0030953.
Christensen, C. G., Bickham, D., Ross, C. S., & Rich, M. (2015). Multitasking with television among adolescents. Journal of Broadcasting and Electronic Media, 59(1), 130–148. https://doi.org/10.1080/08838151.2014.998228.
Cunado, J., & Perez de Gracia, F. (2012). Does media consumption make us happy? Evidence for Spain. Journal of Media Economics, 25(1), 8–34. https://doi.org/10.1080/08997764.2012.651052.
Depp, C. A., Schkade, D. A., Thompson, W. K., & Jeste, D. V. (2010). Age, affective experience, and television use. American Journal of Preventive Medicine, 39(2), 173–178. https://doi.org/10.1016/j.amepre.2010.03.020.
Erber, R. (1996). The self-regulation of moods. In L. L. Martin & A. Tesser (Eds.), Striving and feeling: Interactions among goals, affect, and self-regulation (pp. 251–275). Oxford: Psychology Press.
Fazio, A. (1977). A concurrent validational study of the NCHS general well-being schedule. Vital and health statistics, series 2, no. 73. Washington, DC: U.S. Government Printing Office. Retrieved from http://www.cdc.gov/nchs/data/series/sr_02/sr02_073.pdf. Accessed 1 Feb 2018.
Fredrickson, B. L. (2004). The broaden-and-build theory of positive emotions. Philosophical Transactions-Royal Society of London Series B Biological Sciences, 359(1449), 1367–1378. https://doi.org/10.1098/rstb.2004.1512.
Fredrickson, B. L., & Branigan, C. (2005). Positive emotions broaden the scope of attention and thought action repertoires. Cognition and Emotion, 19(3), 313–332. https://doi.org/10.1080/02699930441000238.
Frey, B. S., Benesch, C., & Stutzer, A. (2007). Does watching TV make us happy? Journal of Economic Psychology, 28(3), 283–313. https://doi.org/10.1016/j.joep.2007.02.001.
Gilbert, D. T., Pinel, E. C., Wilson, T. D., Blumberg, S. J., & Wheatley, T. P. (1998). Immune neglect: A source of durability bias in affective forecasting. Journal of Personality and Social Psychology, 75(3), 617–638. https://doi.org/10.1037/0022-3514.75.3.617.
Gomillion, S., Gabriel, S., Kawakami, K., & Young, A. F. (2017). Let’s stay home and watch TV: The benefits of shared media use for close relationships. Journal of Social and Personal Relationships, 34(6), 855–874. https://doi.org/10.1177/0265407516660388.
Goodwin, P. E., Intrieri, R. C., & Papini, D. R. (2005). Older adults’ affect while watching television. Activities, Adaptation & Aging, 29(2), 55–74. https://doi.org/10.1300/J016v29n02_04.
Gunaydin, G., Selcuk, E., & Ong, A. D. (2016). Trait reappraisal predicts affective reactivity to daily positive and negative events. Frontiers in Psychology, 7, 1000. https://doi.org/10.3389/fpsyg.2016.01000.
Hills, P., & Argyle, M. (1998). Positive moods derived from leisure and their relationship to happiness and personality. Personality and Individual Differences, 25(3), 523–535. https://doi.org/10.1016/S0191-8869(98)00082-8.
Isen, A. M., & Reeve, J. (2005). The influence of positive affect on intrinsic and extrinsic motivation: Facilitating enjoyment of play, responsible work behavior, and self-control. Motivation and Emotion, 29(4), 295–323. https://doi.org/10.1007/s11031-006-9019-8.
Jordan, A. B., & Robinson, T. N. (2008). Children, television viewing, and weight status: Summary and recommendations from an expert panel meeting. The Annals of the American Academy of Political and Social Science, 615(1), 119–132. https://doi.org/10.1177/0002716207308681.
Kataria, M., & Regner, T. (2011). A note on the relationship between television watching and individual happiness. The Journal of Socio-Economics, 40(1), 53–58. https://doi.org/10.1016/j.socec.2010.06.016.
Kessler, R. C., Andrews, G., Colpe, L. J., Hiripi, E., Mroczek, D. K., Normand, S. L., et al. (2002). Short screening scales to monitor population prevalences and trends in non-specific psychological distress. Psychological Medicine, 32(6), 959–976. https://doi.org/10.1017/S0033291702006074.
Kross, E., & Ayduk, O. (2008). Facilitating adaptive emotional analysis: Distinguishing distanced-analysis of depressive experiences from immersed-analysis and distraction. Personality and Social Psychology Bulletin, 34(7), 924–938. https://doi.org/10.1177/0146167208315938.
Kubey, R., & Csikszentmihalyi, M. (1990). Television and the quality of life: How viewing shapes everyday experience. Hillsdale, NJ: Erlbaum.
Lachman, M. E., & Weaver, S. L. (1997). The Midlife Development Inventory (MIDI) personality scales: Scale construction and scoring. Waltham, MA: Brandeis University.
Litt, A., Reich, T., Maymin, S., & Shiv, B. (2011). Pressure and perverse flights to familiarity. Psychological Science, 22(4), 523–531. https://doi.org/10.1177/0956797611400095.
McIlwraith, R. D. (1998). “I’m addicted to television”: The personality, imagination, and TV watching patterns of self-identified TV addicts. Journal of Broadcasting & Electronic Media, 42(3), 371–386. https://doi.org/10.1080/08838159809364456.
Moskalenko, S., & Heine, S. J. (2003). Watching your troubles away: Television viewing as a stimulus for subjective self-awareness. Personality and Social Psychology Bulletin, 29(1), 76–85. https://doi.org/10.1177/0146167202238373.
Nisbet, E. K., & Zelenski, J. M. (2011). Underestimating nearby nature: Affective forecasting errors obscure the happy path to sustainability. Psychological Science, 22(9), 1101–1106. https://doi.org/10.1177/0956797611418527.
Nisbet, E. K., Zelenski, J. M., & Murphy, S. A. (2011). Happiness is in our nature: Exploring nature relatedness as a contributor to subjective well-being. Journal of Happiness Studies, 12(2), 303–322. https://doi.org/10.1007/s10902-010-9197-7.
OECD. (2016). Time use across the world. Retrieved from OECD website: https://www.oecd.org/gender/data/OECD_1564_TUSupdatePortal.xls. Accessed 19 June 2017.
Park, J., & Banaji, M. R. (2000). Mood and heuristics: The influence of happy and sad states on sensitivity and bias in stereotyping. Journal of Personality and Social Psychology, 78(6), 1005–1023. https://doi.org/10.1037//0022-3514.78.6.1005.
Perse, E. M., & Rubin, A. M. (1990). Chronic loneliness and television use. Journal of Broadcasting & Electronic Media, 34(1), 37–53. https://doi.org/10.1080/08838159009386724.
Proulx, T., & Heine, S. J. (2006). Death and black diamonds: Meaning, mortality, and the meaning maintenance model. Psychological Inquiry, 17(4), 309–318. https://doi.org/10.1080/10478400701366985.
Qian, X. L., Yarnal, C. M., & Almeida, D. M. (2014). Is leisure time availability associated with more or less severe daily stressors? An examination using eight-day diary data. Leisure Sciences, 36(1), 35–51. https://doi.org/10.1080/01490400.2014.860782.
Raudenbush, S. W., Bryk, A. S., Cheong, Y. F., Congdon, R. T., Jr., & du Toit, M. (2011). HLM 7: Hierarchical linear and nonlinear modeling. Lincolnwood, IL: Scientific Software International.
Robinson, J. P., & Martin, S. (2008). What do happy people do? Social Indicators Research, 89(3), 565–571. https://doi.org/10.1007/s11205-008-9296-6.
Rosenblatt, P. C., & Cunningham, M. R. (1976). Television watching and family tensions. Journal of Marriage and the Family, 38(1), 105–111. https://doi.org/10.2307/350554.
Ryff, C. D., & Almeida, D. M. (2010). National survey of midlife in the United States (MIDUS II): Daily Stress Project, 2004–2009. ICPSR26841-v1. Ann Arbor, MI: Inter-University Consortium for Political and Social Research [distributor], 02-26.
Ryff, C., Almeida, D. M., Ayanian, J. S., Carr, D. S., Cleary, P. D., Coe, C., et al. (2007). Midlife development in the United States (MIDUS II), 2004–2006. Ann Arbor, MI: Inter-University Consortium for Political and Social Research.
Selcuk, E., Gunaydin, G., Ong, A. D., & Almeida, D. A. (2016). Does partner responsiveness predict hedonic and eudaimonic well-being? A 10-year longitudinal study. Journal of Marriage and Family, 78(2), 311–325. https://doi.org/10.1111/jomf.12272.
Selcuk, E., Zayas, V., Gunaydin, G., Hazan, C., & Kross, E. (2012). Mental representations of attachment figures facilitate emotional recovery following upsetting autobiographical memory recall. Journal of Personality and Social Psychology, 103(2), 362–378. https://doi.org/10.1037/a0028125.
Sheldon, K. M., Ryan, R., & Reis, H. T. (1996). What makes for a good day? Competence and autonomy in the day and in the person. Personality and Social Psychology Bulletin, 22(12), 1270–1279. https://doi.org/10.1177/01461672962212007.
Slatcher, R. B., & Selcuk, E. (2017). A social psychological perspective on the links between close relationships and health. Current Directions in Psychological Science, 26(1), 16–21. https://doi.org/10.1177/0963721416667444.
Taquet, M., Quoidbach, J., de Montjoye, Y. A., Desseilles, M., & Gross, J. J. (2016). Hedonism and the choice of everyday activities. Proceedings of the National Academy of Sciences, 113(35), 9769–9773. https://doi.org/10.1073/pnas.1519998113.
Tasfiliz, D., Selcuk, E., Gunaydin, G., Slatcher, R. B., Corriero, E., & Ong, A. D. (2018). Cultural patterns of partner responsiveness and well-being in Japan and the United States. Journal of Family Psychology. https://doi.org/10.1037/fam0000378.
Thinkbox. (2013). Screen life: TV in demand. Retrieved from Thinkbox website: https://www.thinkbox.tv/Research/Thinkbox-research/Screen-Life-TV-in-demand. Accessed 10 Apr 2017.
Tkach, C., & Lyubomirsky, S. (2006). How do people pursue happiness? Relating personality, happiness-increasing strategies and well-being. Journal of Happiness Studies, 7(2), 183–225. https://doi.org/10.1007/s10902-005-4754-1.
Tsai, J. L. (2007). Ideal affect: Cultural causes and behavioral consequences. Perspectives on Psychological Science, 2(3), 242–259. https://doi.org/10.1111/j.1745-6916.2007.00043.x.
Tsai, J. L., Knutson, B. K., & Fung, H. H. (2006). Cultural variation in affect valuation. Journal of Personality and Social Psychology, 90(2), 288–307. https://doi.org/10.1037/0022-3514.90.2.288.
Valdesolo, P., & DeSteno, D. (2006). Manipulations of emotional context shape moral judgment. Psychological Science, 17(6), 476–477. https://doi.org/10.1111/j.1467-9280.2006.01731.x.
Watson, D., Clark, L. A., & Tellegen, A. (1988). Development and validation of brief measures of positive and negative affect: The PANAS scales. Journal of Personality and Social Psychology, 54(6), 1063–1070. https://doi.org/10.1037/0022-3514.54.6.1063.
Webb, T. L., Miles, E., & Sheeran, P. (2012). Dealing with feeling: A meta-analysis of the effectiveness of strategies derived from the process model of emotion regulation. Psychological Bulletin, 138(4), 775–808. https://doi.org/10.1037/a0027600.
Wilson, T. D., & Gilbert, D. T. (2005). Affective forecasting: Knowing what to want. Current Directions in Psychological Science, 14(3), 131–134. https://doi.org/10.1111/j.0963-7214.2005.00355.x.
Ye, Y. (2010). Beyond materialism: The role of health-related beliefs in the relationship between television viewing and life satisfaction among college students. Mass Communication and Society, 13(4), 458–478. https://doi.org/10.1080/15205430903296069.
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Bayraktaroglu, D., Gunaydin, G., Selcuk, E. et al. A Daily Diary Investigation of the Link Between Television Watching and Positive Affect. J Happiness Stud 20, 1089–1101 (2019). https://doi.org/10.1007/s10902-018-9989-8
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DOI: https://doi.org/10.1007/s10902-018-9989-8