Psychology 2013. Vol.4, No.1, 59-66 Published Online January 2013 in SciRes (http://www.scirp.org/journal/psych) http://dx.doi.org/10.4236/psych.2013.41008 Copyright © 2013 SciRes. 59 Hunger and Reduced Self-Control in the Laboratory and across the World: Reducing Hunger as a Self-Control Panacea Matthew T. Gailliot Psychology Department, Stephen F. Austin State University, Nacogdoches, USA Email: mgailliot@gmail.com Received August 23rd, 2012; revised October 16th, 2012; accepted November 10th, 2012 Ten studies link hunger to reduced self-control. Higher levels of hunger—as assessed by self-report, time since last eating, or physiology—predicted reduced self-control, as indicated by increased racial prejudice, (hypothetical) sexual infidelity, passivity, accessibility of death thoughts and perceptions of task difficulty, as well as impaired Stroop performance and decreased self-monitoring. Increased rates of hunger across 200 countries predicted increased war killings, suggestive of reduced aggressive restraint. In a final ex- periment, self-reported hunger mediated the effect of hungry (v fed) participants performing worse on the Stroop task, suggesting a causal relationship of hunger reducing self-control. Keywords: Self-Control; Self-Regulation; Hunger; Glucose; Executive Functioning Introduction Hunger may be a serious problem. Hunger has been reported to afflict one billion people—nearly one-sixth of the world po- pulation (Food and Agricultural Organization, 2009). A person dies from starvation every second, a child every five sec- onds—accounting for nearly 60% of all deaths (Food and Agri- culture Organization, Economic and Social Department, 2005). The current work examined whether hunger might have a dele- terious effect on human psychology—namely, on self-control. Hunger occurs both temporarily and chronically, and both may hamper good self-control. Self-control is important. Good self-control contributes to many benefits throughout the lifespan, including better social relationships, mental health, and intellect, and less criminality (Finkel & Campbell, 2001; Gottfredson & Hirschi, 1990; Shoda, Mischel, & Peake, 1990; Tangney, Baumeister, & Boone, 2004). Self-control may have evolved on the basis of its foster- ing social cooperation and harmony (Baumeister, 2005). Poor self-control thus contributes to many ills both individually and societally. Hunger therefore could thwart many desirable out- comes both occasionally and chronically. Humans are metabolic entities. One of our most important capacities—self-control—is metabolically expensive yet re- quires having adequate metabolic energy (Gailliot & Baumeis- ter, 2007a; Gailliot et al., 2007). One supporting idea is that hunger is a state in which reductions in energy availability pre- clude optimal self-control. Ten studies link hunger to reduced self-control. This conclu- sion is strengthened in that a variety of indicators were used to assess indices of both hunger (self-reported hunger, time since last eating, physiology, societal hunger) and self-control (Stroop performance, sexual behavior, aggression, prejudice, death-thought accessibility, passivity, self-monitoring, percep- tions of task difficulty). The work includes data from the labo- ratory, the field, and across large populations, incorporating both correlational and experimental methods. Harmful Effects Hunger—Mig ht Hunger Impair Self-Control? Both temporary and chronic hungers have many harmful psychological effects. Hunger worsens mental health, increases interpersonal conflict, harms many cognitive abilities (e.g., verbal fluency, memory, learning, intelligence), and increases absenteeism, tardiness, discipline problems, and nurse visits among schoolchildren (Alaimo, Olson, Edward, & Frongillo, 2001; Barrett, Radke-Yarrow, & Klein, 1982; Howard, 2008; Lopez-Sobaler, Ortega, Quintas, Navia, & Requejo, 2003; Murphy, 2007). Self-control has been linked to the same, and similar, abilities, such as intelligence, attention control, and memory (Duckworth & Seligman, 2005; Schmeichel, 2007; Schmeichel, Vohs, & Baumeister, 2003; Tangney, Baumeister, & Boone, 2004). One especially relevant study found that in- creased food insecurity predicted worse self-control among schoolchildren, as assessed by teacher ratings (Howard, 2008). This suggests that hunger might harm self-control generally. Research on glucose provides one basis to suggest an influ- ence of hunger on self-control. Low blood-glucose occurs dur- ing hunger (Campfield & Smith, 1986; Ciampolini et al., 2008; Ciampolini & Bianchi, 2006; De Graaf, Blom, Smeets, Stafleu, & Hendriks, 2004; Gavin, 2001; Elliot, Keim, Stern, Teff, & Havel, 2002; Merimee & Tyson, 1974) and has been linked to reduced self-control (DeWall, Baumeister, Gailliot, & Maner, 2008; DeWall, Gailliot, Deckman, & Bushman, 2009; Fair- clough & Houston, 2004; Gailliot et al., 2007; Gailliot & Bau- meister, 2007a; Gailliot, Peruche, Plant, & Baumeister, 2009; Masicampo & Baumeister, 2008). Likewise, cognitive effects of hunger have been linked to low glucose (Benton & Sargent, 1992; Pollitt, Leibel, & Greenfield, 1981; Pollitt, Lewis, Garza, & Schulman, 1982; Pollitt & Mathews, 1998). It may be unlikely that changes in glucose account entirely for any influ- ence of hunger—that is, that hunger is only a proxy for glucose. A relatively large number of studies have found that impair- ments caused by hunger are not due to glucose (Pollitt, Cueto, & Jacoby, 1996; Cueto et al., 1995, unpublished data, as cited
M. T. GAILLIOT in Pollitt, 1995). The Current Work Ten studies assessed the relationship between hunger and self-control. Their purpose is to relate hunger to indices of re- duced self-control across a variety of domains. The prediction is that increased hunger will accompany reductions in self- control. Hunger could potentially influence self-control via changes in mood. Being hungry might be aversive and increase negative mood, or it might increase or decrease arousal by making peo- ple jittery or tired. Providing a test of these ideas, several of the studies include measures of mood and arousal. Study 1: Self-Reported Hunger Predicts Stroop Performance The hypothesis for Study 1 was that higher self-reported hunger would predict worse performance on the Stroop task, which requires self-control in the form of overriding the auto- matic tendency to read words and instead to focus on their font color. Method Nineteen undergraduates (15 women, 4 men) participated for a course requirement. Participants first reported their current hunger level on a scale from 1 (not at all hungry) to 7 (very hungry). Participants later completed the Brief Mood Introspec- tion Scale (BMIS) as a measure of mood and arousal (Mayer & Gaschke, 1988). Afterward, they completed the Stroop task. Participants completed 100 trials in which they saw a color word (red, blue, or green) and were asked to state aloud its incongruent font color (red, blue, or green) as quickly and ac- curately as possible. Results and Discussion Higher self-reported hunger predicted more errors on the Stroop task, r(19) = .42, p < .05 (one-tailed), but was unre- lated to completion time, ns. The relationship between hunger and errors remained when controlling for mood valence, arousal, and completion time, r(14) = .49, p = .05. Study 2: Physiological Hunger Predicts Stroop Performance Rather than relying on a self-report measure of hunger, Study 2 included a physiological measure. Past work indicates that hunger, whether or not consciously perceived, initiates when blood-glucose levels are at or below 81.8 mg/dL (Ciampolini et al., 2008), or perhaps 87 mg/dL (Ciampolini & Bianchi, 2006). Study 2 therefore tested whether self-control would be impaired at or below 81.8 mg/dL or 87 mg/dL, with the 81.8 mg/dL measure taking precedence over the 87 mg/dL measure due to its being better supported (Ciampolini et al., 2008). The work includes assessment of whether the relationship between hunger and self-control was predicted by linear glucose levels so as to separate any influence of glucose from that of hunger. The hypothesis was that activated physiological hunger would pre- dict impaired Stroop performance, and that this relationship would be separated from linear glucose levels. The study in- cludes two separate samples. Method Twenty-nine (19 women, 10 men; sample 1) and forty-two (31 women, 11 men; sample 2) undergraduates participated for a course requirement. Participants first had their glucose levels assessed, using single-use blood sampling lancets and an Accu-chek compact meter. Next, they completed the UWIST Mood Adjective Checklist as a measure of hedonic tone, tense- arousal, and energetic-arousal (Matthews, Jones, & Chamber- lain, 1990; sample 1) or BMIS (sample 2) and the Stroop task. Participants in the first sample completed the same Stroop pro- cedure used in Study 1, whereas those in the second sample performed the task for 3 minutes. Results and Discussion Participants in the first sample who scored in the hunger group (i.e., those who had glucose levels at or below 81.8 mg/dL) made more errors on (M = 3.14, SD = 1.47) and took longer to complete (in seconds; M = 94.77, SD = 12.92) the Stroop than did those in the no-hunger group (for errors, M = 1.82, SD = 1.47; for completion time, M = 72.18, SD = 22.90), F(1, 27) = 4.33, p < .05, d = .90, r = .41 (for errors), F(1, 27) = 16.23, p < .001, d = 1.22, r = .52 (for completion time), when controlling for hedonic tone, tense-arousal, and energetic- arousal. Linear glucose levels predicted neither errors nor com- pletion time, ps > .17. Among participants in the second sample, hunger was de- fined by glucose levels at or below 87 mg/dL because the sam- ple was too small to use the 81 mg/dL criterion. Participants in the hungry group completed fewer trials (M = 204.71, SD = 41.59) than did those in the nonhungry group (M = 233.94, SD = 41.57), F(1, 39) = 2.87, p < .05, d = −.70, r = −.33 (one- tailed), when controlling for mood valence, arousal, and errors on the Stroop (the two groups did not differ in errors, p = .26). Linear glucose levels did not predict completion time, p = .62. These results indicate that the presence or absence of hunger is related to self-control. It is unclear why hunger would relate inconsistently to either speed or accuracy, though one explana- tion is that, lacking self-control, participants may trade off one capacity for the other, and that hungry participants devoted themselves more to accuracy. That the Stroop task measures domain general self-control raises the hypothesis tested in the subsequent studies, namely that hunger is associated with impaired self-control across mul- tiple domains. Study 3: Self-Reported Hunger Predicts Sexual Infidelity People sometimes control their sexual thoughts and behavior, which requires self-control (Barth & Kinder, 1987; Carnes, 1983; Coleman, 1992; Earle & Crow, 1990; Gold & Heffner, 1998; Wiederman, 2004). Reduced self-control is associated with increased sexuality (Armentrout & Hauer, 1978; Exner, Meyer-Bahlburg, Ehrhardt, 1992; Giotakos, Vaidakis, Mar- kianos, & Chrisodoulou, 2003; Hanson & Bussiere, 1998; Her- nandez & DiClemente, 1992; Kalichman et al., 1994; Koepp, Schildbach, Schmager, & Rohner, 1993; McGrath, 1991; Wills, Gibbons, Gerrard, Murry, & Brody, 2003; Zanarini et al., 1998; Copyright © 2013 SciRes. 60
M. T. GAILLIOT Gailliot & Baumeister, 2007b). The hypothesis for Study 3 was that higher self-reported hunger would predict an increased likelihood of sexual infidel- ity, indicating reduced self-control. The idea is that people in committed romantic relationships sometimes desire to engage in sexual acts outside of their relationship but that they use self-control to avoid doing so. Method Forty undergraduates (32 women, 8 men) participated for a course requirement. Participants first reported their current hunger level. Next, they completed the UWIST Mood Adjec- tive Checklist. Participants later responded to two hypothetical scenarios in which they were to imagine being in a committed romantic relationship and to indicate their likelihood of kissing or having sex with a person other than their partner, using a scale from 1 (not at all likely) to 9 (very likely). Last, partici- pants completed 14 items from the Marlowe-Crowne Social Desirability Scale (Crowne & Marlowe, 1960). Results and Discussion Higher self-reported hunger predicted an increased likelihood of sexual infidelity across the two scenarios, r(40) = .40, p < .05. The relationship remained when controlling for hedonic tone, tense-arousal, energetic-arousal, and social desirability scores, r(34) = .33, p = .05. Study 4: Societal Hunger Predicts War Killings Poor self-control and factors that undermine self-control (i.e., metabolic problems) increase aggressive thought and behavior (DeWall et al., 2007; Gailliot & Baumeister, 2007a; Stucke & Baumeister, 2006). Likewise, some evidence links hunger to aggression (Gray, 1986; Howard, 2008; Kleinman et al., 1998; Murphy, Wehler et al., 1998; Reid, 2000). The hypothesis was that hunger levels, among both children and adults, would pre- dict war killings across 200 countries, which may potentially arise from reductions in the self-control of aggressive restraint. Method Data used included rates of undernourishment in 2000 (United Nations, 2004) and of children enrolled in primary and secondary education in 2002 (United Nations, 2004), estima- tions of the number of people killed in war in 2002 (World Health Organization, 2004), the human poverty indices for 2002 (United Nations, 2004), and gross national product for 2002 (United Nations, 2004) across 200 countries. Results and Discussion Greater undernourishment predicted increased war killings, r(200) = .37, p < .001. Undernourishment predicted war killings when controlling for enrollment in primary and secondary edu- cation, poverty, and gross national product (b = 3.07), t(1, 194) = 3.79, p < .001. Thus, the more hunger was common to a country, the more likely war killings were in that country. One limitation is that the hunger data were from two years prior to the other data, though hunger tends to be temporally stable (e.g., undernourishment rates for 1990 and 2000 correlate highly, r(200) = .81, p < .001, despite the 10-year time span). One alternative possibility is that the targets of the killing or other people experienced hunger, rather than the actor. Study 5: Self-Reported Hunger Predicts Prejudice Hunger relates to negativity toward others in the form of killing, perhaps too for prejudice and bias. Stereotypes and prejudice arise automatically, and so self-control allows one to avoid their salience and influence (Devine, 1989). Several studies are consistent with the idea that impaired self-control increases prejudice (Gailliot, Plant, Butz, & Baumeister, 2007; Gordijn, Hindriks, Koomen, Dijksterhuis, & Van Knippenberg, 2004; Govorun & Payne 2006; Inzlicht et al., 2006; Johns, In- zlicht, & Schmader, 2008; Ketterman, 2004; Muraven, 2008; Richeson, Trawalter, & Shelton, 2005). The hypothesis for Study 5 was that higher self-reported hunger would predict higher prejudice, indicative of reduced self-control. Method Ninety-four undergraduates (71 women, 23 men) participated for a course requirement. Participants first reported their current hunger level. They later completed the 14-item measure of social desirability and UWIST Mood Adjective Checklist. Afterward, participants read two descriptions of crimes that had been committed and viewed images of a Black and White suspect. Participants indicated the extent to which they per- ceived each suspect as being hostile, aggressive, dangerous, and reckless (negative traits), as well as intelligent, careful, sensi- tive, and responsible (positive traits) on a scale from 1 (not at all) to 9 (a lot). Results and Discussion Greater self-reported hunger predicted less positive trait rat- ings for the Black, r(94) = −.17, p < .05 (one-tailed), but not White, r(94) = −.10, p = .35, suspect. This links hunger to prejudice. Hunger was unrelated to negative trait ratings for either the White or Black suspect, ps > .6. The relationship between hunger and positive trait ratings for the Black suspect was significant, or marginally significant, when controlling for either hedonic tone, tense-arousal, energetic arousal, or social desirability, rs < −.16, ps < .06 (one-tailed). Study 6: Time Since Last Eating Predicts Death Thought Accessibility Another domain relevant to self-control is the accessibility of thoughts related to death. A variety of stimuli and situations activate thoughts related to death. When death thoughts arise, people may use self-control to suppress them or to think about something else (Arndt, Greenberg, Solomon, Pyszczynski, & Simon, 1997; Gailliot, Schmeichel, & Baumeister, 2006; Pollak, 1979, 1980; Pyszczynski, Greenberg, & Solomon, 1999). The hypothesis was that more time since last having eaten—sug- gesting increased hunger—would predict reduced self-control in the form of increased death thought accessibility. Method Fifty-four undergraduates (39 women, 15 men) participated for a course requirement. Participants first estimated the amount Copyright © 2013 SciRes. 61
M. T. GAILLIOT of time since they had last eaten. They next completed the 14- item measure of social desirability and the UWIST Mood Ad- jective Checklist. They later were given 6 word fragments (e.g., SK_LL) that could be completed with a word either related (e.g., SKULL) or unrelated (e.g., SKILL) to death. Results and Discussion Recalling more time since last having eaten predicted in- cluding more death-related words in one’s responses, r(54) = .35, p < .05, suggesting increased death-thought accessibil- ity and the reduced self-controlled suppression thereof. This relationship remained when controlling for hedonic tone, tense- arousal, energetic-arousal, and social desirability scores, r(48) = .32, p < .05. Study 7: Self-Reported Hunger Predicts Passivity There is high overlap between impaired self-control and in- creased passivity (Baumeister, Bratslavsky, Muraven, & Tice, 1998; Vohs & Gailliot, 2006). The link may be that both are caused by lacking energy needed for effortful thought and be- havior. Hunger has been linked to passivity, such as to in- creased television watching and reductions in initiating social contact, being physically active, and exerting less effort at school (Alaimo et al., 2001; Chavez & Martinez, 1979; Pollitt, Golub, & Gorman, 1996; Sigman et al., 2005). The hypothesis was that higher self-reported hunger would predict greater pas- sivity, suggesting reduced self-control. Method One-hundred sixty-two people walking through a subway terminal in Amsterdam, Holland participated on a voluntary basis. As participants approached the terminal exit, a research assistant asked whether they had eaten breakfast and recorded whether participants exited via the escalator (the passive option) or the adjacent stairs. Results and Discussion A chi-square analysis indicated that participants who had not eaten breakfast were more likely to use the escalator than the stairs, whereas participants who had eaten breakfast were more likely to use the stairs than the escalator, χ2 = 2.89, p < .05 (one-tailed; see Figure 1). Hunger may be linked to increased passivity (using the stairs) because energy is low during hunger and passivity helps conserve energy (see Muraven & Slessareva, 2003; Muraven et al., 2006). Study 8: Physiological Hunger Predicts Passivity Whereas Study 7 linked passivity to self-reported hunger, Study 8 assessed the relationship of passivity and tendencies toward physiological hunger on a standardized examination—a glucose tolerance test (i.e., an assessment of blood-glucose levels after a 9-hour fast at night and ingestion of a glucose drink in the morning). The prediction was that a greater likely- hood of hunger (using the criterion used in Study 2) would predict increased passivity during the past month in the form of less physical activity. 25 50 75 Number of People Stairs Escalator Ate Breakfast Did Not Eat Breakfast Figure 1. Number of people who used the stairs or escalator as a function of having eaten breakfast (Study 7). Method Data were from the Third National Health and Nutrition Examination Survey (NHANES III) 1988-1994 from the Na- tional Center for Health Statistics. It included 2945 participants (1475 women, 1475 men). Participants completed a glucose to- lerance test. They also reported the number of times they had walked or bicycled during the past 30 days—used as the meas- ure of passivity in the current study. Education level and house- hold and family income levels were obtained. Results and Discussion Participants in the hungry group (<81.8 mg/dL) reported having walked or bicycled less (M = 1.60, SD = .50) than did those in the non-hungry group (M = 1.70, SD = .51), F(1, 2945) = 11.67, p = .001, d = −.20, r = −.10, controlling for education and income levels. Increased tendencies to experience hunger during a glucose tolerance test therefore predicted greater pas- sivity during the prior month. Linear glucose levels predicted the extent of walking and bi- cycling, r(2950) = .11, p < .001, though both glucose level and hunger group predicted walking and bicycling when simul- taneously included in a regression model. In this case, both hunger and linear glucose levels might contribute to passivity, if the relationships are causal. Of note, other data from NHANES III that allows the test of related hypotheses using different data may support null or contrary conclusions. A more nuanced understanding may be more accurate. Study 9: Self-Reported Hunger Predicts Self-Monitoring and Perceived Task Difficulty Study 9 tested the hypotheses that greater hunger would pre- dict two other factors related to reduced self-control—percep- tions of task difficulty and self-monitoring. Good self-monitor- ing—paying attention to the self, such as to meet standards for thought and behavior—is coupled with good self-control (Bau- meister, Heatherton, & Tice, 1994). If hunger relates negatively to self-control, then it might relate to reduced monitoring. When energy is low or capacity is reduced, perceptual biases Copyright © 2013 SciRes. 62
M. T. GAILLIOT can emerge such that tasks seem more effortful (Bhalla & Proffitt, 1999; McCloskey, Ebeling, & Goodwin, 1974; Proffitt, Stefanucci, Banton, & Epstein, 2003). To the extent that hunger is associated with low energy availability for tasks or reduced self-control capacity, then hunger might be associated with stronger perceptions of the extent to which a given task requires effort. Method Twenty-two undergraduates (15 women, 7 men) participated for extra credit toward a course grade. Participants first watched a boring, 6-minute video (without sound) of a woman talking. At its end, they were asked to indicate how difficult it was to watch the video, using a scale from 1 (not at all) to 7 (very). Next, participants completed the BMIS as a measure of mood and arousal. Participants later completed a task in which they were given star-shaped stickers and asked to use them to create a pattern on a sheet of paper. Participants later were asked to recall the number of stickers they had used (a measure of self-monitoring) and to indicate the extent to which they had been paying atten- tion to the number of stickers they used, using a scale from 1 (not at all) to 7 (very much). Results and Discussion Greater self-reported hunger predicted increased perceptions of task difficulty, r(22) = .38, p < .05 (one-tailed). Greater hunger also predicted larger underestimations of the number of stickers one used relative to the number of stickers one recalled having used (reduced self-monitoring), r(22) = −.36, p < .05 (one-tailed). Good self-monitoring improves self-control, and so it is possible that hunger relates to self-control via changes in self-monitoring. Hunger was unrelated to reports of having paid attention to the numbers of stickers one had used, p > .77. This indicates that hunger was related to reduced self-monitoring and that participants were unaware of any reductions in self-monitoring. Hunger was not related to mood valence or arousal, ps > .15. Study 10: Hunger Impairs and Food Improves Stroop Performance Studies 1-9 present correlational evidence linking hunger to self-control, yet experimental evidence is required to draw any causal conclusion. The final study manipulated and measured hunger in an experiment designed to assess for causal evidence that hunger impairs self-control, relative to eating restoring it. Method Twenty-five undergraduates (18 women, 7 men) participated for a course requirement and were instructed to arrive hungry without having eaten beforehand. As part of a different experi- mental test, they first watched a 6-minute video (without sound) of a woman talking with words appearing in the corner of the screen. Participants were asked to use self-control by avoiding looking at the words instead to focus on the woman’s face. Afterwards, participants randomly assigned to the fed condition ate a muffin breakfast bar, whereas those in the hunger condi- tion did not receive food. Participants then completed the BMIS and indicated their current hunger level in an embedded item. Last, participants completed the Stroop task (using the same procedure that was used among the second sample of partici- pants in Study 2). Results and Discussion Participants in the hungry condition made more errors on the Stroop task (M = 14.48, SD = 14.86) than did those in the fed condition (M = 3.44, SD = 14.86), F(1, 19) = 3.13, p < .05, d = .74, r = .35 (one-tailed), when controlling for mood valence, arousal, and completion time on the Stroop. The difference in completion time between conditions was nonsignificant, p = .98. Hunger thus impaired self-control performance. Hungry participants indicated being more hungry (M = 3.08, SD = 1.73) than did fed participants (M = 1.46, SD = .78), F(1, 23) = 9.40, p = .005, d = 1.21, r = .52. Hungry and fed par- ticipants did not differ in Stroop errors when controlling for hunger levels, p = .18. Likewise, a Goodman (1960) test of mediation indicated that self-reported hunger mediated the effect of food (v hunger) on Stroop errors, z = 3.61, p < .001. These results show direction and causality. Hunger impairs self-control. Eating improves it. General Discussion Across 10 studies, hunger—assessed using multiple meas- ures—was linked to reduced self-control, as suggested by in- creased sexual behavior, aggression, prejudice, death-thought accessibility, passivity, and perceptions of task difficulty, as well as impaired Stroop performance and reduced self-moni- toring. Hunger is therefore linked to many important outcomes, including war killings across the world. A final study demon- strated causality. Aside from the three studies that used the Stroop—which clearly require self-control—much of the work rests on the as- sumption that self-control was involved in the observed phe- nomena. The individuals may have experienced little self-con- trol conflict over their sexual, aggressive, or prejudicial behave- ior, for example. Another assumption is the direction of the relationship between hunger and self-control. For example, though hunger may cause killing, so too may killing cause hun- ger (Nafziger & Auvinen, 2002), such as among warriors cutoff from the food supply following attack. Or, other variables may account for the relationship—individuals prone to skip meals, for example, may be more likely to demonstrate hunger and re- duced self-control. Thoughts of death may arise with hunger because of increased cultural factors or increased accessibility of negative constructs (e.g., increased salience of phrases such as, “dying from hunger” or “I am starving”). Though hunger was defined in various ways, the work did not assess for mediation (cf. potential mediation by self-moni- toring and task difficulty, Study 9). Hormones, such as leptin or grehlin (Malik, McGlone, Bedrossian, & Dagher, 2008; OMIM, 2009), or multiple sources of metabolite, such as glycogen in the brain or liver (Gailliot, 2008; Gailliot & Baumeister, 2007a), might be influential. Conservation mechanisms could occur that attenuate effort or resource expenditure (Muraven & Slessareva, 2003; Muraven, Shmueli, & Burkley, 2006) during hunger. Other potential mediators include self-control failure providing emotional relief (Tice, Baumeister, Shmueli, & Muraven, 2007; Tice, Bratslavsky, & Baumeister, 2001) or escape from the self (Heatherton & Baumeister, 1991), assuming that hunger is at Copyright © 2013 SciRes. 63
M. T. GAILLIOT least somewhat aversive or that it might increase self-awareness. The majority of the current studies included measures of mood and arousal, yet little evidence emerged to support their having influence. Self-control might involve increased glucose use in the brain (Richeson et al., 2003), suggesting that hunger’s re- ducing self-control may involve provision or conservation of cerebral glucose (see Messier & White, 1987). It is unclear whether hunger impairs self-control or reduces its use. Perhaps increased motivation can overcome the effects of hunger (Mu- raven & Slessareva, 2003). Overeating and failures in dieting may be the most common example of impaired self-control because people sacrifice die- tary goals so as to maintain self-control energy in other ways. If one must fail at self-control, then it is best to fail at dietary goals so as to uphold other standards. Hunger may be relevant to the phenomena of self-control use depleting glucose and impairing subsequent self-control (Gail- liot & Baumeister, 2007a; Gailliot et al., 2007). Perhaps glu- cose depletion activates hunger sensations that function to re- plenish energy needed for self-control. Indeed, attentional bi- ases to food have been found to occur after self-control use (Gailliot, 2009). More comprehensive conclusions may be made when mak- ing connections among individual studies. Hunger was linked to increased death thoughts (Study 6), prejudice (Study 4), and war killings (Study 4). Hunger could impair self-control so as to increase death thought and prejudice, thereby predisposing toward aggression against outgroups (see Pyszczynski et al., 1999). Energy for biological and psychological processes is limited, with high activity for one process potentially reducing energy available for others (Gailliot, Hildebrandt, Eckel, & Baumeister, 2010). To the extent that hunger impairs self-control because of reduced energy availability, then it is plausible that hunger may influence energy-consuming processes other than self-control, such as immune activity or reproduction. A null, or even posi- tive, relationship between hunger and self-control may be ac- counted for by reductions in other processes, such as good self- control being maintained during times of hunger at the expense of comprised immune functioning. One conundrum is how people suffering from anorexia (self- starvation) maintain the self-control to avoid eating. Anorexia is associated with increased dopamine in the brain (Barry & Klawans, 1976) and opioid activity in cerebrospinal fluid (Kaye, Pickar, Naber, & Ebert, 1982). Both dopamine and opioids increase positive feelings, which might help to sustain extreme eating restraint despite incurred hunger (see Tice, Baumeister, Shmueli, & Muraven, 2007). Self-control is among the most distinctively human and im- portant capacities. Hunger might impair life in both trivial and significant ways—for one billion people chronically and seven billion at least temporarily. Broken promises, hate, and fighting may be the result. The, perhaps hyperbolical, action of ensuring adequate distribution of food across the globe could prove to be a self-control panacea. REFERENCES Alaimo, K., Olson, C. M., Edward, A., & Frongillo, J. (2001). Food insufficiency and America’s school-aged children’s cognitive, aca- demic, and psychosocial development. Pediatrics, 108, 44-53. Armentrout, J. A., & Hauer, A. L. (1978). MMPIs of rapists of adults, rapists of children, and non-rapist sex offenders. Journal of Clinical Psychology, 34, 330-332. doi:10.1002/1097-4679(1978 04)34:2<330::AID -JCLP2270340213> 3.0.CO;2-R Arndt, J., Greenberg, J., Solomon, S., Pyszczynski, T., & Simon, L. (1997). Suppression, accessibility of death-related thoughts, and cul- tural worldview defense: Exploring the psychodynamics of terror management. Journal of Personality and Social Psychology, 73, 5-18. doi:10.1037/0022-3514.73.1.5 Barrett, D. E., Radke-Yarrow, M., & Klein, R. E. (1982). Chronic mal- nutrition and childbehavior: Effects of early caloric supplementation on social and emotional functioning at school age. Developmental Psychology, 18, 541-556. doi:10.1037/0012-1649.18.4.541 Barry, V. C., & Klawans, H. L. (1976). One the role of dopamine in the pathophysiology of anorexia nervosa. Journal of Neural Transmis- sion, 38, 107-122. doi:10.1007/BF01262969 Barth, R. J., & Kinder, B. N. (1987). The mislabeling of sexual impul- sivity. Journal of Sex and Marital Therapy, 13, 15-23. doi:10.1080/00926238708403875 Baumeister, R. F., Bratslavsky, E., Muraven, M., & Tice, D. M. (1998). Ego depletion: Is the active self a limited resource? Journal of Per- sonality and Social P sychology, 74, 1252-1265. doi:10.1037/0022-3514.74.5.1252 Baumeister, R. F. (2005). The cultural animal: Human nature, meaning, and social life. New York: Oxford University Press. Baumeister, R. F., Heatherton, T. F., & Tice, D. M. (1994). Losing con- trol: How and why people fail at self-regulation. San Diego, CA: Academic Press. Benton, D., & Sargent, J. (1992). Breakfast blood glucose and memory. Biological Psychology, 33, 207-221. doi:10.1016/0301-0511(92)90032-P Bhalla, M., & Proffitt, D. R. (1999). Visual-motor recalibration in geo- graphical slant perception. Journal of Experimental Psychology: Human Perception and Performance, 25, 1076-1096. doi:10.1037/0096-1523.25.4.1076 Campfield, L. A., & Smith, F. J. (1986). Functional coupling between transient declines in blood glucose and feeding behavior: Temporal relationships. B ra in Research Bulletin, 17, 427-433. doi:10.1016/0361-9230(86)90250-9 Carnes, P. (1983). Out of the shadows: Understanding sexual addiction. Minneapolis: CompCare. Chavez, A., & Martinez, M. (1979). Consequences of insufficient nu- triation on childcharacteristics and behavior. In D. A. Levitsky (Ed.), Malnutrition, environment and behavior (pp. 238-255). Ithaca, NY: Cornell University Press. Ciampolini, M., & Bianchi, R. (2006). Training to estimate blood glu- cose and to formassociations with initial hunger. Nutrition and Me- tabolism, 3, 42. doi:10.1186/1743-7075-3-42 Ciampolini, M., Bianchi, R., de Pont, B., Lovell-Smith, D., Sifone, M., van Weeren, M. et al. (2008). Sustained self-regulation of energy in- take: Initial hunger is associated with low pre-meal blood glucose and prevents energy accumulation. http://win.aegov.com/public/2763_NC%2012%20Dic%2008.doc Coleman, E. (1992). Is your patient suffering from compulsive sexual behavior? Psychiatric Annals, 22, 320-325. Crowne, D. P., & Marlowe, D. (1960). A new scale of social desirabil- ity independent of psychopathology. Journal of Consulting Psychol- ogy, 24, 349-354. doi:10.1037/h0047358 De Graaf, C., Blom, W. A. M., Smeets, P. A. M., Stafleu, A., & Hen- driks, H. F. J. (2004). Biomarkers of satiation and satiety. American Journal of Clinical Nutrition, 79, 946-961. Devine, P. G. (1989). Stereotypes and prejudice: Their automatic and controlled components. Journal of Personality and Social Psychol- ogy, 56, 5-18. doi:10.1037/0022-3514.56.1.5 DeWall, C. N., Baumeister, R. F., Gailliot, M. T., & Maner, J. K. (2008). Depletion makes the heart grow less helpful: Helping as a function of self-regulatory energy and genetic relatedness. Personal- ity and Social Psychology Bullet in , 34, 1653-1662. doi:10.1177/0146167208323981 DeWall, C. N., Baumeister, R. F., Stillman, T. F., & Gailliot, M. T. (2007). Violence restrained: Effects of self-regulation and its deple- Copyright © 2013 SciRes. 64
M. T. GAILLIOT tion on aggression. Journal of Experimental Social Psychology, 43, 62-76. doi:10.1016/j.jesp.2005.12.005 DeWall, C. N., Gailliot, M. T., Deckman, T., & Bushman, B. J. (2009). Sweetened blood cools hot tempers: Physiological self-control and aggression. Aggressive Behavior, 37, 73-78. doi:10.1002/ab.20366 Duckworth, A. L., & Seligman, M. E. P. (2005). Self-discipline outdoes IQ in predicting academic performance of adolescents. Psychological Science, 16, 939-944. doi:10.1111/j.1467-9280.2005.01641.x Earle, R. H., & Crow, G. M. (1990). Sexual addiction: Understanding the phenomenon. Contemporary Family Therapy, 12, 89-104. doi:10.1007/BF00892488 Exner, T. M., Meyer-Bahlburg, H. F. L., & Ehrhardt, A. A. (1992). Sexual self-control as a mediator of high risk sexual behavior in a New York City cohort of HIV+ and HIV− gay men. Journal of Sex Research, 29, 389-406. doi:10.1080/00224499209551655 Fairclough, S. H., & Houston, K. (2004). A metabolic measure of men- tal effort. Biologica l Psychology, 66, 177-119. doi:10.1016/j.biopsycho.2003.10.001 Finkel, E. J., & Campbell, W. K. (2001). Self-control and accommoda- tion in close relationships: An interdependence analysis. Journal of Personality and Social P s y chology, 81, 263-277. doi:10.1037/0022-3514.81.2.263 Food and Agriculture Organization (2009). The state of food insecurity in the world 2009: Economic crises—impacts and lessons learned. Food and Agriculture Organization of the United Nations. Food and Agriculture Organization of the United Nations Economic and Social Department (2005). The state of food insecurity in the world 2005: Eradicating world hunger—Key to achieving the mil- lennium development goals. Food and Agriculture Organization of the United Nations. Gailliot, M. T. (2009). Having used self-control increases attention to food: A functional bias in the management of metabolic energy and a bias toward indulgence. Unpublished manuscript. Gailliot, M. T., Peruche, B. M., Plant., E. A., & Baumeister, R. F. (2009). Stereotypes and prejudice in the blood: Sucrose drinks re- duce prejudice and stereotyping. Journal of Experimental Social Psychology, 45, 288-290. doi:10.1016/j.jesp.2008.09.003 Gailliot, M. T. (2008). Unlocking the energy dynamics of executive functioning: Linkingexecutive functioning to brain glycogen. Per- spectives on Psychological Science, 3, 245-263. doi:10.1111/j.1745-6924.2008.00077.x Gailliot, M. T., & Baumeister, R. F. (2007a). The physiology of will- power: Linking blood glucose to self-control. Personality and Social Psychology Review, 11, 303-327. doi:10.1177/1088868307303030 Gailliot, M. T., & Baumeister, R. F. (2007b). Self-regulation and sexual restraint: Dispositionally and temporarily poor self-regulatory abili- ties contribute to failures at restraining sexual behavior. Personality and Social Psychology Bulletin, 33, 173-186. doi:10.1177/0146167206293472 Gailliot, M. T., Baumeister, R. F., DeWall, C. N., Maner, J. K., Plant, E. A., Tice, D. M., Brewer, L. E., & Schmeichel, B. J. (2007). Self- control relies on glucose as a limited energy source: Willpower is more than a metaphor. Journal of Personality and Social Psycho logy, 92, 325-336. doi:10.1037/0022-3514.92.2.325 Gailliot, M. T., Hildebrandt, B., Eckel, L. A., & Baumeister, R. F. (2010). A theory of limited metabolic energy and premenstrual syn- drome (PMS) symptoms—Increased metabolic demands during the luteal phase divert metabolic resources from and impair self-control. Review of General Psychology, 1 4 , 269-282. doi:10.1037/a0018525 Gailliot, M. T., Plant, E. A., Butz, D. A., & Baumeister, R. F. (2007). Increasing self-regulatory strength can reduce the depleting effect of suppressing stereotypes. Personality and Social Psychology Bulletin, 33, 281-294. doi:10.1177/0146167206296101 Gailliot, M. T., Schmeichel, B. J., & Baumeister, R. F. (2006). Self- regulatory processes defend against the threat of death: Effects of self-control depletion and trait self-control on thoughts and fears of dying. Journal of Personality and So cial Psychology, 91, 49-62. doi:10.1037/0022-3514.91.1.49 Gavin, J. R. (2001). Pathophysiologic mechanisms of postprandial hyperglycemia. Am erican Jo urnal of Cardiology, 88, 4-8. doi:10.1016/S0002-9149(01)01830-6 Giotakos, O., Vaidakis, N., Markianos, M, & Chrisodoulou, G. N. (2003). Personalitycharacteristics of sexual offenders. Psychiatriki, 14, 189-190. Gold, S. N., & Heffner, C. L. (1998). Sexual addiction: Many concep- tions, minimal data. Cl i ni ca l Psychology Review, 18, 367-381. doi:10.1016/S0272-7358(97)00051-2 Goodman, L. A. (1960). On the exact variance of products. Journal of the American Statistical As so c i at i o n, 55, 708-713. doi:10.1080/01621459.1960.10483369 Gordijn, E. H., Hindriks, I., Koomen, W., Dijksterhuis, A., & Van Knippenberg, A. (2004). Consequences of stereotype suppression and internal suppression motivation: A selfregulation approach. Per- sonality and Social Psychology Bulletin, 30, 212-224. doi:10.1177/0146167203259935 Gottfredson, M. R., & Hirschi, T. (1990). A general theory of crime. Stanford, CA: Stanford University Press. Govorun, O., & Payne, B. K. (2006). Ego-depletion and prejudice: Se- parating automatic and controlled components. Social Cognition, 24, 111-136. doi:10.1521/soco.2006.24.2.111 Gray, G. E. (1986). Diet, crime and delinquency: A critique. Nutritional Review, 44, 89-94. doi:10.1111/j.1753-4887.1986.tb07683.x Hanson, R. K., & Bussiere, M. T. (1998). Predicting relapse: A meta- analysis of sexual offender recidivism studies. Journal of Consulting and Clinical Psychology, 66, 348-362. doi:10.1037/0022-006X.66.2.348 Heatherton, T. F., & Baumeister, R. F. (1991). Binge eating as escape from self-awareness. Psychological Bulletin, 11 0 , 86-108. doi:10.1037/0033-2909.110.1.86 Hernandez, J. T., & DiClemente, R. J. (1992). Self-control and ego identity development as predictors of unprotected sex in late adoles- cent males. Journal of Adolescence, 15, 437-447. doi:10.1016/0140-1971(92)90073-E Howard, L. L. (2008). Does food insecurity at home affect noncogni- tive performance at school? A longitudinal analysis of elementary student classroom behavior. http://business.fullerton.edu/Economics/larryhoward/food_insecurity 2008.pdf Inzlicht, M., McKay, L., & Aronson, J. (2006). Stigma as ego depletion: How being the target of prejudice affects self-control. Psychological Science, 17, 262-269. doi:10.1111/j.1467-9280.2006.01695.x Johns, M., Inzlicht, M., & Schmader, T. (2008). Stereotype threat and executive resourcedepletion: Examining the influence of emotion regulation. Journal of Experimental Psychology: General, 137, 691- 705. doi:10.1037/a0013834 Kalichman, S. C., Johnson, J. R., Adair, V., Rompa, D., Multhauf, K., & Kelly, J. A. (1994). Sexual sensation seeking: Scale development and predicting AIDS-risk behavior among homosexually active men. Journal of Personality Assessment, 62, 385-397. doi:10.1207/s15327752jpa6203_1 Kaye, W. H., Pickar, D., Naber, D., & Ebert, M. H. (1982). Cerebro- spinal fluid opioid activity in anorexia nervosa. American Journal of Psychiatry, 139, 643-645. Ketterman, R. L. (2004). Stereotype suppression effects on self-control of alcohol consumption. Masters Thesis, Tallahassee, FL: Florida State University. Kleinman, R. E., Murphy, J. M., Little, M., Pagano, M., Wehler, C. A., Regal, K., & Jellinek, M. S. (1998). Hunger in children in the United States: Potential behavioral and emotional correlates. Pediatrics, 101, 1-6. doi:10.1542/peds.101.1.e3 Kochanska, G., Murray, K. T., & Harlan, E. T. (2000). Effortful control in early childhood: Continuity and change, antecedents, and implica- tions for social development. Developmental Psychology, 36, 220- 232. doi:10.1037/0012-1649.36.2.220 Koepp, W., Schildbach, S., Schmager, C., & Rohner, R. (1993). Bor- derline diagnosis andsubstance abuse in female patients with eating disorders. Internationa l Jo urnal of Eating Disorders, 14, 107-111. doi:10.1002/1098-108X(199307)14:1<107::AID-EAT2260140114>3. 0.CO;2-Q Lopez-Sobaler, A. M., Ortega, R. M., Quintas, M. E., Navia, B., & Requejo, A. M. (2003). Relationship between habitual breakfast and intellectual performance (logical reasoning) in well-nourished scho- Copyright © 2013 SciRes. 65
M. T. GAILLIOT Copyright © 2013 SciRes. 66 olchildren of Madrid (Spain). European Journal of Clinical Nutrition, 57, 49-53. doi:10.1038/sj.ejcn.1601815 Malik, S., McGlone, F., Bedrossian, D., & Dagher, A. (2008). Ghrelin modulates brain activity in areas that control appetitive behavior. Cell Metabolism, 7, 400-409. doi:10.1016/j.cmet.2008.03.007 Masicampo, E. J., & Baumeister, R. F. (2008). Toward a physiology of dual-process reasoning and judgment: Lemonade, willpower, and expensive rule-based analysis. Psychological Science, 19, 255-260. doi:10.1111/j.1467-9280.2008.02077.x Matthews, G., Jones, D. M., & Chamberlain, A. G. (1990). Refining the measurement of mood: The UWIST mood adjective checklist. British Journal of Psychology, 81, 17-42. doi:10.1111/j.2044-8295.1990.tb02343.x Mayer, J. D., & Gaschke, Y. N. (1988). The experience and meta- experience of mood. Journal of Personality and Social Psychology, 55, 102-111. doi:10.1037/0022-3514.55.1.102 McCloskey, D. I., Ebeling, P., & Goodwin, G. M. (1974). Estimation of weights and tensions and apparent involvement of a “sense of effort”. Experimental Neurology, 42, 220-232. doi:10.1016/0014-4886(74)90019-3 McGrath, R. J. (1991). Sex-offender risk assessment and disposition planning: A review of empirical and clinical findings. International Journal of Offender Therapy & Comparative Criminology, 35, 328- 335. Merimee, T. J., & Tyson, J. E. (1974). Stabilization of plasma glucose during fasting. Normal variations in two separate studies. New Eng- land Journal of Medicine, 291, 1275-1278. doi:10.1056/NEJM197412122912404 Messier, C., & White, N. M. (1987). Memory improvement by glucose, fructose, and two glucose analogs: A possible effect on peripheral glucose transport. B ehavioral and Neural Biology, 48, 104-127. doi:10.1016/S0163-1047(87)90634-0 Muraven, M. (2008). Prejudice as self-control failure. Journal of Ap- plied Social Psychology, 38, 314-333. doi:10.1111/j.1559-1816.2007.00307.x Muraven, M., & Slessareva, E. (2003). Mechanisms of self-control failure: Motivation and limited resources. Personality and Social Psychology Bulletin, 29, 894-906. doi:10.1177/0146167203029007008 Muraven, M., Shmueli, D., & Burkley, E. (2006). Conserving self- control strength. Journal of Personality and Social Psychology, 91, 524-537. doi:10.1037/0022-3514.91.3.524 Murphy, J. M. (2007). Breakfast and learning: An updated review. Current Nutrition and Food Science, 3, 3-36. doi:10.2174/1573401310703010003 Murphy, J. M., Wehler, C. A., Pagano, M. E., Little, M., Kleinman, R. F., & Jellinek, M. S. (1998). Relationship between hunger and psy- chosocial functioning in low-income American children. Journal of the American Academy of Child and Adolescent Psychiatry, 37, 163- 170. doi:10.1097/00004583-199802000-00008 Nafziger, E. W., & Auvinen, J. (2002). Economic development, ine- quality, war, and stateviolence. World Development, 30, 153-163. doi:10.1016/S0305-750X(01)00108-5 Pollak, J. M. (1979-1980). Correlates of death anxiety: A review of empirical studies. Omega: J ourna l of D eath and D ying, 10, 97-121. doi:10.2190/4KG5-HBH0-NNME-DM58 Pollitt, E. (1995). Does breakfast make a difference in school? Journal of the American Dietetic As so c i at i o n, 95, 1134-1139. doi:10.1016/S0002-8223(95)00306-1 Pollitt, E., & Mathews, R. (1998). Breakfast and cognition: An integra- tive summary. American Journal of Clinical Nutrition, 67, 804-813. Pollitt, E., Cueto, S., & Jacoby, E. R. (1998). Fasting and cognition in well- and undernourished schoolchildren: A review of three experi- mental studies. American Journa l o f Clinical Nutrition, 67, 779-784. Pollitt, E., Golub, M., & Gorman, K. (1996). A reconceptualization of the effects ofundernutrition on children’s biological, psychosocial, and behavioral development. Social Policy Report, 1 0, 1-21. Pollitt, E., Leibel, R. L., & Greenfield, R. L. (1981). Brief fasting and cognition in children. American Journal of Clinical Nutrition, 34, 1526-1533. Pollitt, E., Lewis, N., Garza, C., & Schulman, R. J. (1982). Fasting and cognitive function. Journal of Psychiatry Research, 17, 169-174. doi:10.1016/0022-3956(82)90018-8 Proffitt, D. R., Stefanucci, J., Banton, T., & Epstein, W. (2003). The role of effort in perceiving distance. Psychological Science, 14, 106- 112. doi:10.1111/1467-9280.t01-1-01427 Pyszczynski, T., Greenberg, J., & Solomon, S. (1999). A dual process model of defense against conscious and unconscious death-related thoughts: An extension of terror management theory. Psychological Review, 106, 835-845. doi:10.1037/0033-295X.106.4.835 Reid, L. L. (2000). The consequences of food insecurity for child well- being: An analysis of children’s school achievement, psychological well-being, and health. JCPR Working Paper #137, Chicago, IL: Joint Center for Poverty Research, Northwestern University/Univer- sity of Chicago. Richeson, J. A., Trawalter, S., & Shelton, J. N. (2005). African Ameri- cans’ implicit racial attitudes and the depletion of executive function after interracial interactions. Social Co g n i t i o n , 23, 336-352. doi:10.1521/soco.2005.23.4.336 Schmeichel, B. J. (2007). Attention control, memory updating, and emotion regulationtemporarily reduce the capacity for executive con- trol. Journal of Experimental Psycholog y: General, 136, 241-255. doi:10.1037/0096-3445.136.2.241 Schmeichel, B. J., Vohs, K. D., & Baumeister, R. F. (2003). Intellectual performance and ego depletion: Role of the self in logical reasoning and other information processing. Journal of Personality and Social Psychology, 85, 33-46. doi:10.1037/0022-3514.85.1.33 Shoda, Y., Mischel, W., & Peake, P. K. (1990). Predicting adolescent cognitive and self-regulatory competencies from preschool delay of gratification: Identifying diagnostic conditions. Developmental Psy- chology, 26, 978-986. doi:10.1037/0012-1649.26.6.978 Sigman, M., Whaley, S. E., Neumann, C. G., Bwibo, N., Guthrie, D., Weiss, R. E. et al. (2005). Diet quality affects the playground activi- ties of Kenyan children. Fo od a n d Nutrition Bulletin, 26, 202-212. Stucke, T. S., & Baumeister, R. F. (2006). Ego depletion and aggressive behavior: Is theinhibition of aggression a limited resource? European Journal of Social Psychology, 36, 1-13. doi:10.1002/ejsp.285 Tangney, J. P., Baumeister, R. F., & Boone, A. L. (2004). High self- control predicts goodadjustment, less pathology, better grades, and interpersonal success. Journal of Personality, 72, 271-322. doi:10.1111/j.0022-3506.2004.00263.x Tice, D. M., Baumeister, R. F., Shmueli, D., & Muraven, M. (2007). Restoring the self: Positive affect helps improve self-regulation fol- lowing ego depletion. Journal of Experimental Social Psychology, 43, 379-384. doi:10.1016/j.jesp.2006.05.007 Tice, D. M., Bratslavsky, E., & Baumeister, R. F. (2001). Emotional distress regulation takes precedence over impulse control: If you feel bad, do it! Journal of Personality and Social Psychology, 80, 53-67. doi:10.1037/0022-3514.80.1.53 United Nations (2004). United Nations Development Program’s 2004 Human Development Report. Vohs, K. D., & Gailliot, M. T. (2006). Using or losing self-control: Antecedents of regulatory strength and regulatory depletion. Paper presented at the Annual Meeting of the Association for Consumer Research, Orlando. Wiederman, M. W. (2004). Self-control and sexual behavior. In R. F. Baumeister & K. D. Vohs (Eds.), Handbook of self-regulation: Re- search, theory, and applicatio ns. New York: Guilford Press. Wills, T. A., Gibbons, F. X., Gerrard, M., Murry, V. M., & Brody, G. H. (2003). Familycommunication and religiosity related to substance use and sexual behavior in early adolescence: A test for pathways through self-control and prototype perceptions. Psychology of Addic- tive Behaviors, 17, 312-323. doi:10.1037/0893-164X.17.4.312 Zanarini, M. C., Frankenburg, F. R., Dubo, E. D., Sickel, A. E., Trikha, A., Levin, A., & Reynolds, V. (1998). Axis I comorbidity of border- line personality disorder. American Journal of Psychiatr y, 155, 1733- 1739.
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