- Open Access
Subjective socioeconomic status and cigarette smoking interact to delay discounting
© Ishii. 2015
- Received: 14 July 2015
- Accepted: 21 September 2015
- Published: 28 September 2015
People generally discount future outcomes, and accordingly accept immediate but smaller gain. This research examined whether this tendency (i.e., delay discounting) is associated with socioeconomic status (SES) and smoking status, and hypothesized that the influence of SES on delay discounting would be moderated by smoking status. Using an Internet survey, 206 participants made choices between receiving hypothetical monetary rewards immediately or with a delay of 1 year. As predicted, the rates of delay discounting were higher as subjective socioeconomic status indicating one’s relative position and standing in a society was lower. Moreover, the tendency was clearer in smokers than in non-smokers, suggesting that cigarette smoking has a moderating effect. In contrast, there was no effect of objective socioeconomic status representing how individuals are able to access valued goods and services.
- Socioeconomic status
- Social class rank
- Delay discounting
- Cigarette smoking
People generally discount future outcomes and accordingly accept immediate but smaller gain. The tendency of delay discounting has been explained by some psychological factors such as impulsivity and lack of self-control (for a review, see Green and Myerson 2004; Teuscher and Mitchell 2011). Additionally, the social contexts that individuals live in, such as socioeconomic status (SES), influence delay discounting (e.g., de Wit et al. 2007; Reimers et al. 2009). In this research, I suggest an association between subjective SES, which is indicated by an individual’s judgment of his or her relative rank compared to others in the social hierarchy, and delay discounting. Moreover, I explore the possibility that dependence on nicotine, which is thought to be associated with impulsive behaviors (e.g., Bickel et al. 1999; Ohmura et al. 2005), moderates the association between subjective SES and delay discounting.
Previous findings have shown that higher SES is associated with lower discounting (de Wit et al. 2007; Reimers et al. 2009). These findings usually rely on educational attainment and income as indicators of social status. This reflects an assumption that material resources can be accessed by a combination of education, income, and occupation. Thus, previous findings suggest that people with lower material resources are less likely to take the long-term consequences of their behavior into account.
In addition to these objective indicators, researchers have focused on an individual’s judgment of one’s own rank relative to others as a subjective indicator of social class (see Kraus et al. 2012, for a review). Although objective and subjective indicators are related, they are also independent in that material resources indicated by objective SES factors represent how individuals are able to access valued goods and services, whereas rank indicated by subjective SES characterizes one’s relative position and standing in a society (Kraus et al. 2012). They are indeed positively correlated, but the effect size is moderate (Kraus et al. 2009).
Whereas there is clear evidence of an association between objective SES factors (such as education and income) and delay discounting, little is known about an association between subjective SES and delay discounting. On a related note, Joshi and Fast (2013) demonstrated that power is associated with reduced delay discounting. Given that power is defined as the capacity to control others and outcomes based on the availability of resources (French and Raven 1959) and is rooted in both objective and subjective indicators of SES, it is expected that the association between higher SES and lower discounting would be found even in the case of subjective SES.
Moreover, past research has investigated relationships between substance use, impulsive behaviors, and delay discounting. There is robust evidence that dependence on nicotine is associated with impulsive choices in delay discounting (e.g., Bickel et al. 1999; Ohmura et al. 2005). Thus, smokers are more likely than non-smokers to discount future gain. However, not much is known about the possibility that SES and dependence on nicotine interact to delay discounting. One exception is a study by Jaroni et al. (2004). They found that less educated smokers are more likely to discount future gain compared to more educated smokers. However, because there was no control group (e.g., non-smokers), the study did not address the possibility that the impact of SES indicated by education was affected by dependence on nicotine. Given past research suggesting that a lack of the sense of control is associated with substance use (e.g., Wills et al. 1994) and lower SES (Kraus et al. 2009), discounting behavior would be prevalent in smokers with lower SES.
This research thus examined whether delay discounting is associated with subjective and objective indicators of SES and smoking status, and whether the association between SES and delay discounting is moderated by smoking status. The tendency that lower SES increases delayed discounting would be heightened in smokers rather than non-smokers.
Two hundred six Japanese adults (125 females and 81 males, M age = 44.0 years, SD = 12.4) were recruited from a website posted on Micromill, a Japanese web survey company, to participate in the study. Three participants who switched back and forth more than once in response to a series of choices were excluded in the following analyses. Data from the remaining 203 participants are reported here. The participants were compensated with a small amount of money.
The participants were asked to read a hypothetical scenario in which they had just won the lottery and could choose between receiving 25,000 yen (approximately $250) immediately and receiving a different amount of money after 1 year. The amount of money given after 1 year varied from 23,000 to 41,000 yen in increments of 2000 yen in ascending order. The participants were presented with and completed 10 binary choices in total. Following Hardisty and Weber (2009) and Joshi and Fast (2013), this research developed the scenario and used a titration procedure to obtain the indifference point at which future gain was subjectively equivalent to immediate gain. Additionally, following the above-mentioned studies, this research chose the hyperbolic-discounting formula V = A/(1 + kD), where V is the subjective value of a reward, D is the length of the delay, A is the reward amount available at delay D, and k is a free parameter that represents the discount rate. A larger value for k indicates that future outcomes are more discounted and the individual prefers more immediate outcomes. The discount rate was estimated for each participant.
Demographic information of yearly income
≥ 14,000,000 yen
The mean scores of the measures and correlations among them
1. Subjective SES
2. Objective SES
3. Smoking status
4. Discount rate
The results of a series of multiple regressions predicting discount rate
Subj SES × smoking
Obje SES × smoking
This research demonstrated that lower subjective SES increased delay discounting. This suggests an association between subjective SES and how people wait for larger future rewards. Moreover, to the best of my knowledge, this study offers the first evidence that the slope of subjective SES is steeper in smokers than in non-smokers, and that discounting behavior is apparent in smokers with lower SES. Although the association between smoking behavior and impulsive choice in delay discounting is consistent with previous findings (e.g., Bickel et al. 1999; Ohmura et al. 2005), this study suggests a need to assess the association with an individual’s social class, particularly one indicated by class and hierarchy.
Whereas subjective SES was associated with delay discounting, no effect of objective SES was found. The unexpected findings on objective SES might result from the fact that the present research adopted a categorical measure of yearly income with 8 points in increments of 2,000,000 yen and did not ask for the participants’ exact income. Because the distribution was indeed positively skewed (see Table 1), asking about monthly income and using a categorical measure with a smaller range of money in smaller increments would be more appropriate to detect a relationship between income and delay discounting. Future work testing for samples with a wide range of income is needed.
Past studies have suggested a strong correlation between subjective SES and health indicators such as chronic illness, hypertension, and exercise habits. In addition, a correlation is usually found even if objective SES is controlled for (e.g., Adler et al. 2008). Researchers have assumed that this relationship between SES and health suggests that individuals with lower subjective standing are more vulnerable and have greater responsiveness to stress, reflecting their lack of resources to handle it (e.g., Adler and Snibbe 2003). Moreover, given that social status is associated with serotonergic function fostering impulsive and aggressive behaviors (e.g., Edwards and Kravitz 1997), and that the association leads to poor health behaviors (e.g., Matthews et al. 2010), the current findings demonstrating the relationship between lower subjective SES and delay discounting might align broadly with the findings of past studies on subjective SES and health outcomes in that impulsivity underlies the relationships.
Impulsivity also underlies an association between smoking and delay discounting (Bickel et al. 1999; Ohmura et al. 2005). Nevertheless, the subjective SES and smoking status interaction on delay discounting behavior in this research suggests that smokers and non-smokers do not differ in the behavior when their subjective SES is high. This may result from a sense of control, which is higher in people with higher subjective SES (Kraus et al. 2009), moderates an impulsive choice. However, given that previous studies on the relationship between smoking and discounting have mainly focused on heavy smokers who consume no less than 20 cigarettes per a day (e.g., Bickel et al. 1999), that there is no difference in discounting behavior between non-smokers and mild smokers (Ohmura et al. 2005), and that in the current study only 40 % (17 out of 42) of the smokers are defined as heavy ones, the effect of impulsivity induced by daily nicotine exposure might be weak so that the difference between smokers and non-smokers becomes negligible particularly in people with higher subjective SES.
Although the present research just focused on the effects of demographic factors (SES and smoking status) in delay discounting based on correlations among these factors, it is crucial to explore the underlying mechanisms in future work. The key factors would be impulsivity and sense of control. Future work should examine the role of these factors in the relationships among SES, smoking, and delay discounting and clarify the causal relationships.
There are some shortcomings to the present research. First, it was based on a hypothetical scenario. Although previous studies found no difference between real and hypothetical rewards in terms of delay discounting (e.g., Johnson and Bickel 2002), the effects of SES and smoking might be different if the individuals have to make a choice about real monetary rewards. Second, because this study did not manipulate the participants’ assessment of their relative socioeconomic rank in addition to the cross-sectional nature of the data, the possibility that several factors (e.g., the features of the community where the individuals live) that intervene in the perception of subjective SES may have produced an association with delay discounting cannot be denied. Further investigations that manipulate relative socioeconomic rank (e.g., Piff et al. 2010) will be needed to improve the current findings based on correlations. Finally, this study did not address the effects of SES and smoking on monetary losses, although typically, only monetary gains are examined in most studies. Discount rate for losses tends to be lower than discount rate for gains. Does the difference for outcome effect influence how SES and smoking status interact to delay discounting? In future research, it would be important to see whether the current findings could be extended to the discounting of monetary losses.
This research reveals an association between relative social class and delay discounting, moderated by smoking status. Future research is needed to focus on impulsivity and the sense of control, which would be linked to these factors, and to seek out an underlying mechanism. Additional insights provided by further investigations based on the current findings would be beneficial for a better understanding of the underlying factors that moderate delay discounting and its consequences.
The research was supported by Grant-in-Aid for Scientific Research on Innovative Areas “The Science of Mental Time” (#26119518) from the Ministry of Education, Culture, Sports, Science and Technology of Japan.
Compliance with ethical guidelines
Competing interests The author declares no competing interest.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
- Adler NE, Boyce T, Chesney MA, Cohen S, Folkman S, Kahn RL, Syme SL (1994) Socioeconomic status and health: the challenge of the gradient. Am Psychol 49:15–24View ArticleGoogle Scholar
- Adler NE, Snibbe AC (2003) The role of psychosocial processes in explaining the gradient between socioeconomic status and health. Curr Dir Psychol Sci 12:119–123View ArticleGoogle Scholar
- Adler N, Singh-Manoux A, Schwartz J, Stewart J, Matthews K, Marmot MG (2008) Social status and health: a comparison of British civil servants in Whitehall-II with European-and African-Americans in CARDIA. Soc Sci Med 66:1034–1045View ArticleGoogle Scholar
- Bickel WK, Odum AL, Madden GJ (1999) Impulsivity and cigarette smoking: delay discounting in current, never, and ex-smokers. Psychopharmacology 146:447–454View ArticleGoogle Scholar
- de Wit H, Flory JD, Acheson A, McCloskey M, Manuck SB (2007) IQ and nonplanning impulsivity are independently associated with delay discounting in middle-aged adults. Pers Individ Differ 42:111–121View ArticleGoogle Scholar
- Edwards DH, Kravitz EA (1997) Serotonin, social status and aggression. Curr Opin Neurobiol 7:812–819View ArticleGoogle Scholar
- French JRP, Raven B (1959) The bases of social power. In: Cartwright D (ed) Studies in social power. Institute for Social Research, Ann Arbor, pp 150–167Google Scholar
- Green L, Myerson J (2004) A discounting framework for choice with delayed and probabilistic rewards. Psychol Bull 130:769–792View ArticleGoogle Scholar
- Hardisty DJ, Weber EU (2009) Discounting future green: money versus the environment. J Exp Psychol Gen 138:329–340View ArticleGoogle Scholar
- Jaroni JL, Wright SM, Lerman C, Epstein LH (2004) Relationship between education and delay discounting in smokers. Addict Behav 29:1171–1175View ArticleGoogle Scholar
- Johnson MW, Bickel WK (2002) Within-subject comparison of real and hypothetical money rewards in delay discounting. J Exp Anal Behav 77:129–146View ArticleGoogle Scholar
- Joshi PD, Fast NJ (2013) Power and reduced temporal discounting. Psychol Sci 24:432–438View ArticleGoogle Scholar
- Kraus MW, Piff PK, Keltner D (2009) Social class, sense of control, and social explanation. J Pers Soc Psychol 97:992–1004View ArticleGoogle Scholar
- Kraus MW, Piff PK, Mendoza-Denton R, Rheinschmidt ML, Keltner D (2012) Social class, solipsism, and contextualism: how the rich are different from the poor. Psychol Rev 119:546–572View ArticleGoogle Scholar
- Matthews KA, Gallo LC, Taylor SE (2010) Are psychosocial factors mediators of socioeconomic status and health connections? Ann N Y Acad Sci 1186:146–173View ArticleGoogle Scholar
- Ohmura Y, Takahashi T, Kitamura N (2005) Discounting delayed and probabilistic monetary gains and losses by smokers of cigarettes. Psychopharmacology 182:508–515View ArticleGoogle Scholar
- Piff PK, Kraus MW, Côté S, Cheng BH, Keltner D (2010) Having less, giving more: the influence of social class on prosocial behavior. J Pers Soc Psychol 99:771–784View ArticleGoogle Scholar
- Reimers S, Maylor EA, Stewart N, Chater N (2009) Associations between a one-shot delay discounting measure and age, income, education and real-world impulsive behavior. Pers Individ Differ 47:973–978View ArticleGoogle Scholar
- Teuscher U, Mitchell SH (2011) Relation between time perspective and delay discounting: a literature review. Psychol Rec 61:613–632Google Scholar
- Wills TA, Vaccaro D, McNamara G (1994) Novelty seeking, risk taking, and related constructs as predictors of adolescent substance use: an application of Cloninger’s theory. J Subst Abuse 6:1–20View ArticleGoogle Scholar