- Research article
- Open Access
- Open Peer Review
Interactions between risky decisions, impulsiveness and smoking in young tattooed women
- Semion Kertzman†1, 2Email author,
- Alex Kagan†3,
- Michael Vainder4,
- Rina Lapidus5 and
- Abraham Weizman2, 6, 7
© Kertzman et al.; licensee BioMed Central Ltd. 2013
- Received: 25 September 2012
- Accepted: 24 September 2013
- Published: 1 November 2013
According to previous studies, one of the common problems of everyday life of persons with tattoos is risky behavior. However, direct examination of the decision making process, as well as factors which determine women’s risk-taking decisions to get tattoos, have not been conducted. This study investigates whether risk taking decision-making is associated with the self-assessment impulsiveness in tattooed women.
Young women (aged 18–35 years) with (N = 60) and without (N = 60) tattoos, performed the Iowa Gambling Task (IGT), as a measure of decision-making processes, as well as completing the Barratt Impulsivity Scale (BIS-11).
Tattooed women showed significantly higher scores in the BIS-11 and preference for disadvantageous decks on the IGT compared to non-tattooed women. There was no significant correlation between risky decision-making in the IGT and BIS-11 impulsivity measures. A significantly higher rate of smoking was observed in the tattooed women. However, the analysis did not reveal a group effect after adjustment for smoking in the IGT and the BIS-11 measures.
The present study was specifically designed to resolve questions regarding associations between impulsiveness and risky decision-making in tattooed women. It shows that in tattooed women, risky decisions are not a direct result of their self-reported impulsiveness. Smoking does not explain the psychometric differences between tattooed women and controls.
- The Iowa Gambling Task
Tattooing is s phenomenon becoming increasingly common among individuals . Although tattooing is often suggested to be a masculine trait [2, 3] it has been reported that women make up to 45-65% of the tattooed population [4, 5]. Though the popularity of body modification increases, psychosocial data about tattooing behavior are few and controversial [6, 7].
Why do some women get tattoos despite possible negative consequences?
It was suggested by some physicians that finding a tattoo during physical examination should alert to the possibility of an underlying wide range of psychopathological conditions [8–10]. Tattoos are associated with personality characteristics  such “sensation seeking” and impulsiveness [12–15] and with cluster B personality disorders [16, 17]. Tattooed subjects rated themselves as more adventurous, creative, artistic, individualistic, attractive and risk-takers than those without tattoos [15, 18, 19]. Participants who experienced sexual abuse often stated that they use tattoos to overcome certain traumatic experiences, and those with high numbers of tattoos were characterized by an addiction-like drive to continue body modification .
Tattooing was also found to be associated with a wide range of impulsivity-related behaviors such as: violence, weekly alcohol consumption, illicit drug use, dropping out of school, greater numbers of lifetime sexual partners, unprotected sex, suicidal attempts, death by homicide [20–28] and shoplifting . According to previous studies, one of the common problems of everyday life of persons with tattoos is risk-taking behavior [12, 29, 30] leading to medical complications (e.g., potential diseases, allergies, or infections after tattooing; , especially the transmission of hepatitis C . High tattoo prevalence was found among unemployed young women who do not live in a stable partnership .
However, direct examinations of the decision-making process, as well as factors that determine the risk-taking decision to get tattoos, have not been conducted amongst women.
Decision-making is a cognitive function concerned with the process of reflecting on the consequences of a certain choice . Despite evidence of a range of behavioral deficits as the precursors of getting tattooed, the basis for the risk-taking behavior has not been completely characterized. The basis of decision strategy in tattooed subjects was not previously investigated.
Most existing theories suggest impulsiveness as the main reason for getting a tattoo. It seems plausible to assume that impaired decision making reflects a variety of impulse control problems . However, the association between the decision-making process and impulsivity is unclear [36, 37] and their role in tattooed populations has not been investigated.
The Iowa Gambling Test (IGT) is designed as a measure of risky decision making . This task is the most popular measure of decision-making processes (for a review, see ) that mimics real-life decisions . In IGT, each choice is ambiguous, at least initially, with regard to the outcome. Effective performance on the IGT depends on the ability to learn to avoid risky card decks and instead develop a preference for safe ones [41, 42].
Risky decision-making may be a predictor of tattooing behavior, because both result from interacting impulsiveness traits. Some authors found an association between self-reported impulsiveness and decision making performance [36, 43–46]. However, no such association was found by others between impulsivity and risky decision-making [47–53]. If indeed impulsivity and risky decision-making decompose into two independent constructs - then each can predict tattooing behavior.
Previous studies showed that tattooing behavior was associated with higher smoking rates as compared to the general population [15, 54]. A large body of research has examined the association of cigarette use with individual differences in the decision making processes and impulsivity. A review of this literature suggests that both risky decision-making  and impulsiveness  constitute important correlates of tobacco use. Tobacco use can be a significant confounder that mediates among risky decision-making, impulsiveness and tattooing behavior. Such association between tattooing behavior and smoking may be largely related to non-rational decision making and non-planning behavior. The present study aimed to evaluate the association of risky decision-making and impulsiveness with tobacco use in tattooed women. We hypothesized that measures of risky decisions and impulsiveness would be associated with tattooing behavior, but that these associations are independent of tobacco use.
The major issues of the present study were: (1) Do personality trait such as impulsiveness and risky decision-making interact in predicting tattooing behavior? (2) Which of them is the best predictor for tattooing behavior?
To this end, we compared the level of impulsiveness as measured by the Barratt Impulsivity Scale (BIS-11) and by the IGT, in healthy tattooed women with that of healthy untattooed women. We predicted that: (1) women with tattoos would report higher impulsiveness scores on the BIS-11 than women without tattoos; (2) women with tattoos would perform worse than women without tattoos on the IGT; (3) there would be a significant correlation between the BIS-11score and the IGT performance among women with tattoos, and (4) Motor, non-planning and attentional impulsiveness factors of the BIS-11 as expressions of specific facets of impulsivity would be related to specific neuropsychological mechanisms of risky decision-making in young tattooed women (5) smoking status, however, would not explain these associations in the tattooed women.
All participants (tattooed women and control women) were recruited by means of advertisements posted at universities, through personal contacts and via social networks (Facebook), to take part in a research project investigating decision making styles between tattooed women and those without tattoos. All participants were recruited throughout the Tel Aviv area between March 2012 and July 2012. The participants in both groups (research and control) were either employed or students or graduates and belonged to similar socioeconomic backgrounds. The participation in the study was voluntary and without payment. As compensation for participating in the study participants received free charge consultation regarding their decision-making style as well as professional advice regarding the results of the neuro-cognitive and personality assessments. Individual sessions were conducted for the purpose of the study. Participants were given an explanation regarding the research aims and signed a consent form indicating their willingness to participate in the research which included the computerized neuropsychological examination, the personality tests, and a special questionnaire covering extensive background information. The duration of each individual session was up to an hour and a half, with the entire research process taking place over a period of five months.
Sixty women volunteers with tattoos aged 18 to 35 years (M = 28.4, SD = 5.95) were included in the study. Fifty eight percents of the tattooed women had more than one tattoo. All the participants were tattooed at the time of the study (women with removed tattoos were not included). The participants were either employed or students with the following education level: high school diploma or lower – 46.7%, undergraduate university degree – 25%, Master’s university degree– 23.3%, or Doctoral degree – 5%.
We analyzed only tattooed women in order to avoid gender differences on the IGT performance . We expected that comorbid neurological problems, alcohol use disorders and drug dependence would result in an additive effect on neuro-cognitive deficiencies . Thus, the exclusion criteria were neurological disorders, mental retardation, alcohol and substance abuse/dependence (other than tobacco smoking), major psychiatric disorders and treatment with any psychiatric medication. It was established that 55% of participants from the tattooed group were smokers. A semi-structured interview of 20-items to measure the tattooed women’s characteristics was administered by one of the researchers (AK).
The control group included 60 healthy volunteers in a similar age range as the study group, namely 18–35 years old (M = 28.5, SD = 5.43) and recruited from the same area. Education level in the control group was as follows: high school diploma or lower – 25%, undergraduate university degree – 28.3%, Master’s degree – 41.7% and Doctoral degree – 5%. All participants completed a screening interview, which covered the following areas: medical history, illicit drug use, family and personal psychiatric history. None of the subjects received any psychopharmacological treatment. Exclusion criteria for the untattooed control women (C) included any current or past DSM-IV-TR axis I psychiatric disorder. Only 10% of participants from this group smoked regularly.
The study was approved by the Bar-Ilan University Ethics Review Board (Ramat Gan, Israel).
Decision making measures: computerized animated variant of the Iowa Gambling Task (IGT)
We applied a modified computerized animated time-unlimited version of the IGT  - Casino task (AnimaScan Ltd, Ashdod, Israel, 2000), for details see . Briefly, the IGT requires individuals to select cards from four different decks, called A, B, C, and D. Two of the decks, A and B, often result in high gains ($100) but also carry a high risk of large losses thus leading to a cumulative long-term loss. Therefore, these decks are disadvantageous (“bad”). The remaining two decks (labeled C & D) typically result in lower rewards ($50), but also generate lower losses, resulting in a cumulative long-term gain and are therefore advantageous (“better”).
Prior to starting the IGT, the participants were told that the goal of the game was to win as much money as possible and avoid losses to the best of their abilities. They were told that they may choose cards from any deck, and that they may switch decks at any time. Participants were also informed that some of the decks are more advantageous than others, and in order to win, one must avoid the “bad” decks and stick to the “better” ones , but they had to find out by themselves which decks were “bad” and which “better”.
Each participant chose 100 cards which were then analyzed by dividing them into 5 blocks of 20 cards each. We calculated a net score for each block by subtracting the number of advantageous cards from the number of disadvantageous ones [(C + D) - (A + B)] for each of the 20 card blocks. A score below 0 signified that subjects adopted an overall disadvantageous strategy (more card selections in decks A and B), while a score above 0 implied a more advantageous deck preference (more card selections in decks C and D).
Barratt impulsiveness scale (BIS-11)
The Barratt Impulsiveness Scale (BIS-11) is a 30 item self-report instrument designed to assess the personality/behavioral construct of impulsiveness . Participants rate the 30 statements on a 4-point Likert scale ranging from 1–4: 1 = never/rarely, 2 = sometimes, 3 = frequently and 4 = almost always/always. The higher the total score, the higher the self-reported level of impulsivity (total scores range from 30 to 120). The BIS-11 is the most commonly administered self-report measure for the assessment of impulsiveness in both research and clinical settings .
Factor analysis of the BIS-11 reveals three subscales: motor impulsiveness, which reflects action without forethought (i.e. I do things without thinking); non-planning impulsiveness, reflecting the focus being on the present (i.e. I am more interested in the present than the future); and attentional impulsiveness that reflects reduced ability to maintain attention on a stimulus (i.e., I do not 'pay attention’; See  for a list of items comprising BIS-11 subscales).
The data was analyzed using the SAS v9.1 statistical software package for Windows (SAS Institute Inc., Cary, NC, USA). The first step examined the difference between groups on socio-demographic variables (age, education and smoking habit). T-test was used to analyze numerical variables (age and education) and a chi-square (χ 2) test for the categorical variable (smoking habit). In the second step Pearson’s correlation test was used to assess the relationships between the demographic characteristics, self-report measures of the BIS-11 and the IGT performance.
In the third step MANCOVA was used to examine the influence of the group (tattooed or control) on common self-report measures of impulsiveness (BIS-11 subscales) while controlling for socio-demographic characteristics. To analyze the effect of group differences in the decision making process (the five blocks of the IGT), repeated measures ANCOVA was performed with socio-demographic characteristics as covariates. Since ANCOVA assumes that a dependent variable is linearly related to the covariates, correlation analysis was performed to evaluate the relationship between socio-demographic characteristics and behavioral measurements.
Between-group comparison of the socio-demographic characteristics
Descriptive statistics of demographic characteristics, measures of the Barratt Impulsiveness Scale -11 and the Iowa Gambling Task performance in women with and without tattoos
Tattooed (n = 60)
Non-tatooed (n = 60)
Block 1 (1–20)
Block 2 (21–40)
Block 3 (41–60)
Block 4 (61–80)
Block 5 (81–100)
Correlations between demographic characteristics, Barratt Impulsiveness Scale (BIS-11) measures and Iowa Gambling Task (IGT) performance
Block 1 (1–20)
Block 2 (21–40)
Block 3 (41–60)
Block 4 (61–80)
Block 5 (81–100)
Between-group comparison of the IGT performance
Interaction between each group and Iowa Gambling Test’s blocks: pairwise comparisons of performance measures
Block 1 (1–20)
Block 2 (21–40)
Block 3 (41–60)
Block 4 (61–80)
Block 5 (81–100)
Between-group comparison of the barratt BIS-11 measures
Analysis of Covariance (MANCOVA) on impulsivity measures
Smoking x Gr
Smoking x Gr
Smoking x Gr
No overall smoking effect was found on BIS measures as shown by Wilk’s Lambda = 0.93, F(3,114) = 2.68, p = 0.05. Neither was an overall “smoking x group” interaction effect found, as shown by Wilk’s Lambda = 0.97, F(3,114) = 1.3, p = 0.28. As expected, examination of the BIS-11 subscales separately, using univariate test, showed that women with tattoos self-rated themselves significantly higher on all impulsivity domains than controls (Table 4). Smoking habit was significant only for Motor Impulsivity (F = 7.90, p = 0.0058). Interaction between smoking habit and group was not significant on all measures. The adjusted means of impulsivity measures were slightly larger than unadjusted means (Table 4).
Association between risky decision-making and impulsiveness measures
Table 2 shows absence of association between self-assessed impulsivity measures on the BIS-11 scales and risky decision-making on the IGT, indicating that these two measures assess different aspects of risk taking behavior.
The purpose of this study was to determine if measures of impulsivity (the BIS-11) and risky decision-making (the IGT) are associated with tattoo-related behavior in a sample of young healthy women. Our hypothesis was that both self-reported impulsiveness (BIS-11) and risky decisions in IGT, can predict independently the tattoo-related behavior. Our results indicate that both impulsivity (as measured by a questionnaire) and risk-taking decisions (as measured by a behavioral task) predicted presence of tattoos.
Risky decision-making among tattooed women
To the best of our knowledge this is the first experimental study of the decision making process in tattooed women. It was found that risky decision-making was associated with the selection of big gains albeit with maximal losses (the disadvantageous decks). In contrast, non-risky decision-making was associated with shifting selections to smaller gain but minimizing losses (the advantageous decks). The development of successful decision-making strategies after multiple evaluations of winning and losing are associated with higher net scores .
In the initial phase of the IGT the subjects make choices in conditions of maximal uncertainty. The decisions in the “ambiguity” phase were most likely made without awareness to the probabilities of reward or loss . Decisions in the initial phase of the IGT did not differ between tattooed women and controls. This result is expected since random responses are a common strategy in uncertain situations .
The second part of the IGT performance constitutes “decision-making under risk” , in which subjects become more knowledgeable on the risks associated with each deck. The performance of the tattooed women differed significantly only at this stage: controls gradually shifted to advantageous decisions while the tattooed women continued to make disadvantageous decision as the task progressed (see Figure 1). Risky decision-making by tattooed women may result from their impaired ability to learn from the association between the actions and subsequent negative outcomes.
Association between impulsivity and risky decision-making among tattooed women
The main hypothesis of the study was that tattooed women make risky decisions as a result of their impulsiveness. Trait impulsivity, as measured by BIS-11, is associated with learning impairment in problem solving situations . The BIS-11 measures the tendency of individuals to consider negative consequences before acting . Buelow and Suhr  found that riskier IGT performance is related to higher levels of sensation seeking and impulsivity. Risky performance in the IGT may result from a personality trait that causes participants to minimize their consideration of future consequences, either positive or negative . Thus, the high self-reported impulsiveness on the BIS-11 scale is expected to reflect the risky decision-making on the IGT. The use of multifactorial impulsivity scales enables detection of specific facets of impulsivity, related to risky decision making (Table 2). This is the first study that uses a neurocognitive measurement of risky decision making and shows that, in contrast to our hypothesis, risky decision making in tattooed women is not a result of self-reported impulsiveness. According to Bechara  impulsiveness is fundamentally different from risky decision-making. The latter involves choosing wrongly when presented with several alternatives, while impulsivity represents inhibition dysregulation. A decision process requires weighing the pros and cons of various choices against each other and acting based on the results of this comparison. Although there is some overlap between trait impulsiveness and risky decision-making , it appears that they may represent separate independent entities. Our findings are consistent with previous studies indicating that the dimensions of impulsiveness are distinct and uncorrelated to risky decision-making [47–53].
Association between tattoos and smoking in women
Similar to previous studies, we found a significant association between tattooing and smoking [15, 54]. High impulsivity and risky decision-making in the tattoo group may be related to smoking as a confounding factor. Previous studies clearly implicate impulsivity as a precursor for smoking [see [68–71]]. In addition, association between tattooing and smoking may be related to the fact that both may have addictive characteristics [see for review: ]. Non-smoking tattooed women were more impulsive than non-smoking controls, as assessed by the BIS-11. In contrast, in smoking participants the between-group differences in the BIS-11 scores were lost. Thus it seems that impulsivity measures in tattooed women are smoking-independent. Namely, the smoking status is not a direct mediator of tattooing behavior.
Certain limitations impact the interpretation of our results. First, we did not examine comorbid Axis II disorders in the tattooed women, which may account for the neuropsychological findings. Future studies on this topic should assess personality psychopathology using appropriate structured clinical interviews. Second, this study was conducted among women with relatively small numbers of tattoos and without piercings who may be less impulsive than heavily tattooed or body pierced women [73, 74]. Third, participants with alcohol and drug use comorbidity were excluded. The presence of both tattoos and substance use disorders may have exerted additive effects on the IGT performance in the disadvantageous direction.
The present study was specifically designed to resolve questions regarding associations between impulsiveness and risky decision-making in tattooed women. It found that in this case, risky decisions are not a direct result of their self-reported impulsiveness.
Women with tattoos show substantial differences in decision-making from women without tattoos. Women with tattoos exhibited higher scores in the BIS-11, and failed in decision making tasks such as the IGT. But their impairments do not provide definitive evidence against a close association between impulsiveness and decision making. The association between impulsiveness and tattooing behavior was found to be independent of smoking status. There are a variety of environmental, social and psychological variables that lead to tattooing in young people. Our study highlights that impulsiveness and risky decision-making may be key factors in identifying individuals who are at risk for tattooing behavior. Identifying contributing factors could limit risky decisions associated with tattooing. The complex relationship among tattooing, impulsiveness, risky decision-making, Axis I and II psychopathology, gender, substance use disorders, sociodemographic charachteristics and particular brain mechanisms underlying the impaired decision making process merits large-scale investigation.
- Tiggemann M, Golder F: Tattooing: an expression of uniqueness in the appearance domain. Body Image. 2006, 3 (4): 309-315. 10.1016/j.bodyim.2006.09.002.View ArticlePubMedGoogle Scholar
- Armstrong M, Owen D, Roberts A, Koch J: College tattooing: more than skin deep. Dermatol Nurs. 2002, 14 (5): 317-323.PubMedGoogle Scholar
- Armstrong M, Murphy K, Sallee A, Watson M: Tattooed army soldiers: examining the incidence, behavior, and risk. Mil Med. 2000, 165 (2): 135-141.PubMedGoogle Scholar
- Armstrong M: Career-oriented women with tattoos image. J Nurs Scholarship. 1991, 23 (4): 215-220. 10.1111/j.1547-5069.1991.tb00674.x.View ArticleGoogle Scholar
- Laumann A, Derrick A: Tattoos and body piercings in the United States: a national data set. J Am Acad Dermatol. 2006, 55 (3): 413-421. 10.1016/j.jaad.2006.03.026.View ArticlePubMedGoogle Scholar
- Stirn A, Oddo S, Peregrinova L, Philipp S, Hinz A: Motivations for body piercings and tattoos the role of sexual abuse and the frequency of body modifications. Psychiatry Res. 2011, 190 (2–3): 359-363.View ArticlePubMedGoogle Scholar
- Latreille J, Levy J, Guinot C: Decorative tattoos and reasons for their removal: a prospective study in 151 adults living in South of France. J Eur Acad Dermatol Venereol. 2011, 25 (2): 181-187. 10.1111/j.1468-3083.2010.03738.x.View ArticlePubMedGoogle Scholar
- Cossio ML, Giesen LF, Araya G, Perez-Cotapos ML: Association between tattoos, piercings and risk behaviors in adolescents. Rev Med Chil. 2012, 140 (2): 198-206. 10.4067/S0034-98872012000200008.View ArticlePubMedGoogle Scholar
- Manuel L, Retzlaff PD: Psychopathology and tattooing among prisoners. Int J Offender Ther Comp Criminol. 2002, 46 (5): 522-531. 10.1177/030662402236738.View ArticlePubMedGoogle Scholar
- Borokhov A, Bastiaans R, Lerner V: Tattoo designs among drug abusers. Isr J Psychiatry Relat Sci. 2006, 43 (1): 28-33.PubMedGoogle Scholar
- Degelman D, Price ND: Tattoos and ratings of personal characteristics. Psychol Rep. 2002, 90 (2): 507-514. 10.2466/pr0.2002.90.2.507.View ArticlePubMedGoogle Scholar
- Armstrong M, Pace-Murphy K: Tattooing: another risk-behavior in adolescents warranting national health teaching. Appl Nurs Res. 1997, 10 (4): 181-189. 10.1016/S0897-1897(97)80560-5.View ArticlePubMedGoogle Scholar
- Farrow J, Schwartz R, Vanderleeuw J: Tattooing behavior in adolescence. Am J Dis Child. 1991, 145 (2): 184-187. 10.1001/archpedi.1991.02160020076021.View ArticlePubMedGoogle Scholar
- Irwin C, Millstein S: Biopsychosocial correlates of risk-taking behaviors during adolescence. J Adolesc Health Care. 1986, 7: 82-93.Google Scholar
- Drews DR, Allison CK, Probst JR: Behavioral and self-concept differences in tattooed and nontattooed college students. Psychol Rep. 2000, 86 (2): 475-481. 10.2466/pr0.2000.86.2.475.View ArticlePubMedGoogle Scholar
- Raspa RF, Cusack J: Psychiatric implications of tattoos. Am Fam Physician. 1990, 41 (5): 1481-1486.PubMedGoogle Scholar
- Manuel L, Retzlaff P: Psychopathology and tattooing among prisoners. Int J Offender Ther. 2002, 46 (5): 522-531. 10.1177/030662402236738.View ArticleGoogle Scholar
- Antoszewski B, Sitek A, Fijałkowska M, Kasielska A, Kruk-Jeromin J: Tattooing and body piercing–what motivates you to do it?. Int J Soc Psychiatry. 2010, 56 (5): 471-479. 10.1177/0020764009106253.View ArticlePubMedGoogle Scholar
- Swami V: Marked for life? A prospective study of tattoos on appearance anxiety and dissatisfaction, perceptions of uniqueness, and self-esteem. Body Image. 2011, 8 (3): 237-244. 10.1016/j.bodyim.2011.04.005.View ArticlePubMedGoogle Scholar
- Blackburn J, Cleveland J, Griffin R, Davis GG, Lienert J, McGwin G: Tattoo frequency and types among homicides and other deaths, 2007–2008: a matched case–control study. Am J Forensic Med Pathol. 2012, 33 (3): 202-205. 10.1097/PAF.0b013e318221b67d.View ArticlePubMedGoogle Scholar
- Braithwaite R, Robillard A, Woodring T, Stephens T, Arriola KJ: Tattooing and body piercing among adolescent detainees: relationship to alcohol and other drug use. J Subst Abuse. 2001, 13 (1–2): 5-16.View ArticlePubMedGoogle Scholar
- Carroll L, Anderson R: Body piercing, tattooing, self-esteem, and body investment in adolescent girls. Adolescence. 2002, 37 (147): 627-637.PubMedGoogle Scholar
- Forbes G: College students with tattoos and piercings: motives, family experiences, personality factors, and perception by others. Psychol Rep. 2001, 89 (3): 774-786. 10.2466/pr0.2001.89.3.774.View ArticlePubMedGoogle Scholar
- Heywood W, Patrick K, Smith AM, Simpson JM, Pitts MK, Richters J, Shelley JM: Who gets tattoos? Demographic and behavioral correlates of ever being tattooed in a representative sample of men and women. Ann Epidemiol. 2012, 22 (1): 51-56. 10.1016/j.annepidem.2011.10.005.View ArticlePubMedGoogle Scholar
- Kuczkowski K: Diagnostic tattoo in a parturient with «ecstasy» use. Anaesthesia. 2003, 58 (12): 1251-1252.View ArticlePubMedGoogle Scholar
- Stephens M: Behavioral risks associated with tattooing. Fam Med. 2003, 35 (1): 52-54.PubMedGoogle Scholar
- Pozgain I, Barkic J, Filakovic P: Tattoo and personality traits in croatian veterans. Yonsei Med J. 2004, 45 (2): 300-305.View ArticlePubMedGoogle Scholar
- Yen CF, Hsiao RC, Yen JY, Yeh YC, Wang PW, Lin HC, Ko CH: Tattooing among high school students in southern Taiwan: the prevalence, correlates and associations with risk-taking behaviors and depression. Kaohsiung J Med Sci. 2012, 28 (7): 383-389. 10.1016/j.kjms.2011.10.008.View ArticlePubMedGoogle Scholar
- Anderson R: Tattooing should be regulated. New Engl J Med. 1992, 326 (3): 207-PubMedGoogle Scholar
- Sсhiffmacher H: 1000 Tatoos. 1996, TaschenGoogle Scholar
- Long G, Rickman L: Infectious complications of tattoos. Clin Infect Dis. 1994, 18 (4): 610-619. 10.1093/clinids/18.4.610.View ArticlePubMedGoogle Scholar
- Nishioka S de A, Gyorkos TW: Tattoos as risk factors for transfusion-transmitted diseases. Int J Infect Dis. 2001, 5 (1): 27-34. 10.1016/S1201-9712(01)90045-1.View ArticlePubMedGoogle Scholar
- Stirn A: “My body belongs to me”- cultural history and psychology of piercings and tattoos. Ther Umsch. 2007, 64 (2): 115-119. 10.1024/0040-5918.104.22.168.View ArticlePubMedGoogle Scholar
- Bechara A: Decision making, impulse control and loss of willpower to resist drugs: a neurocognitive perspective. Nat Neurosci. 2005, 8 (11): 1458-1463. 10.1038/nn1584.View ArticlePubMedGoogle Scholar
- Morgan M, Impallomeni L, Pirona A, Rogers R: Elevated impulsivity and impaired decision-making in abstinent ecstasy (MDMA) users compared to polydrug and drug-naive controls. Neuropsychopharmacol. 2006, 31 (7): 1562-1573. 10.1038/sj.npp.1300953.View ArticleGoogle Scholar
- Franken I, Strien J, Muris P: Impulsivity is associated with behavioral decision- making deficits. Psychiat Res. 2008, 158 (2): 155-163. 10.1016/j.psychres.2007.06.002.View ArticleGoogle Scholar
- Upton DJ, Bishara AJ, Ahn W-Y, Stout JC: Propensity for risk taking and trait impulsivity in the Iowa Gambling Task. Pers Individ Dif. 2011, 50 (4): 492-495. 10.1016/j.paid.2010.11.013.View ArticlePubMedPubMed CentralGoogle Scholar
- Bechara A: Iowa gambling task professional manual. 2007, Lutz: Psychological Assessment ResourcesGoogle Scholar
- Buelow MT, Suhr JA: Construct validity of the Iowa Gambling Task. Neuropsychol Rev. 2009, 19 (1): 102-114. 10.1007/s11065-009-9083-4.View ArticlePubMedGoogle Scholar
- Bowman CH, Turnbull OH: Real versus facsimile reinforcers on the Iowa Gambling Task. Brain Cognition. 2003, 53 (2): 207-210. 10.1016/S0278-2626(03)00111-8.View ArticlePubMedGoogle Scholar
- Dunn BD, Dalgleish T, Lawrence AD: The somatic marker hypothesis: a critical evaluation. Neurosci Biobehav Rev. 2006, 30 (2): 239-271. 10.1016/j.neubiorev.2005.07.001.View ArticlePubMedGoogle Scholar
- Fellows LK: The cognitive neuroscience of human decision making: a review and conceptual framework. Behav Cogn Neurosci Rev. 2004, 3 (3): 159-172. 10.1177/1534582304273251.View ArticlePubMedGoogle Scholar
- Crone E, Vendel I, Van der Molen M: Decision making in disinhibited adolescents and adults: insensitivity to future consequences or driven by immediate reward?. Pers Indiv Differ. 2003, 35 (7): 1625-1641. 10.1016/S0191-8869(02)00386-0.View ArticleGoogle Scholar
- Suhr J, Tsanadisa J: Affect and personality correlates of the Iowa Gambling Task. Pers Indiv Differ. 2007, 43 (1): 27-36. 10.1016/j.paid.2006.11.004.View ArticleGoogle Scholar
- Sweitzer MM, Allen PA, Kaut KP: Relation of individual differences in impulsivity to nonclinical emotional decision making. J Int Neuropsychol Soc. 2008, 14 (5): 878-882.View ArticlePubMedGoogle Scholar
- Zermatten A, Van der Linden M, d’Acremont M, Jermann F, Bechara A: Impulsivity and decision making. J Nerv Ment Dis. 2005, 193 (10): 647-650. 10.1097/01.nmd.0000180777.41295.65.View ArticlePubMedGoogle Scholar
- Brand M, Recknor EC, Grabenhorst F, Bechara A: Decisions under ambiguity and decisions under risk: Correlations with executive functions and comparisons of two different gambling tasks with implicit and explicit rules. J Clin Exp Neuropsyc. 2007, 29 (1): 86-99. 10.1080/13803390500507196.View ArticleGoogle Scholar
- Bazanis E, Rogers RD, Dowson JH, Taylor P, Meux C, Staley C, Nevinson-Andrews D, Taylor C, Robbins TW, Sahakian BJ: Neurocognitive deficits in decision-making and planning of patients with DSM-III-R borderline personality disorder. Psychol Med. 2002, 32 (8): 1395-1405.View ArticlePubMedGoogle Scholar
- Jollant F, Bellivier F, Leboyer M, Astruc B, Torres S, Verdier R, Castelnau D, Malafosse A, Courtet P: Impaired decision making in suicide attempters. Am J Psychiat. 2005, 162 (2): 304-310. 10.1176/appi.ajp.162.2.304.View ArticlePubMedGoogle Scholar
- Glicksohn J, Naor-Ziv R, Leshem R: Impulsive decision-making: Learning to gamble wisely?. Cognition. 2007, 105 (1): 195-205. 10.1016/j.cognition.2006.08.003.View ArticlePubMedGoogle Scholar
- Goudriann AE, Grekin ER, Sher KJ: Decision making and binge drinking: a longitudinal study. Alcohol Clin Exp Res. 2007, 31 (6): 928-938. 10.1111/j.1530-0277.2007.00378.x.View ArticleGoogle Scholar
- Kertzman S, Lidogoster H, Aizer A, Kotler M, Dannon PN: Risk-taking decisions in pathological gamblers is not a result of their impaired inhibition ability. Psychiat Res. 2011, 188 (1): 71-77. 10.1016/j.psychres.2011.02.021.View ArticleGoogle Scholar
- Petry NM: Substance abuse, pathological gambling, and impulsiveness. Drug Alcohol Depen. 2001, 63 (1): 29-38. 10.1016/S0376-8716(00)00188-5.View ArticleGoogle Scholar
- Bosello R, Favaro A, Zanetti T, Soave M, Vidotto G, Huon G, Santonastaso P: Tattoos and piercings in adolescents: family conflicts and temperament. Riv Psichiatr. 2010, 45 (2): 102-106.PubMedGoogle Scholar
- Xiao L, Bechara A, Cen S, Grenard J, Stacy A, Gallaher P, Wei Y, Jia Y, Anderson Johnson C: Affective decision-making deficits, linked to a dysfunctional ventromedial prefrontal cortex, revealed in 10th-grade Chinese adolescent smokers. Nicotine Tob Res. 2008, 10 (6): 1085-1097. 10.1080/14622200802097530.View ArticlePubMedPubMed CentralGoogle Scholar
- Hogarth L, Stillwell D, Tunney R: BIS impulsivity and acute nicotine exposure are associated with discounting global consequences in the Harvard game. Hum Psychopharmacol. 2013, 28 (1): 72-79. 10.1002/hup.2285.View ArticlePubMedGoogle Scholar
- Reavis R, Overman WH: Adult sex differences on a decision-making task previously shown to depend on the orbital prefrontal cortex. Behav Neurosci. 2001, 115 (1): 196-206.View ArticlePubMedGoogle Scholar
- Bechara A, Damasio A, Damasio H, Anderson W: Insensitivity to future consequences following damage to human prefrontal cortex. Cognition. 1994, 50 (1–3): 7-15.View ArticlePubMedGoogle Scholar
- Patton J, Stanford S, Barratt E: Factor Structure of the Barratt Impulsiveness Scale. J Clin Psychol. 1995, 51 (6): 768-774. 10.1002/1097-4679(199511)51:6<768::AID-JCLP2270510607>3.0.CO;2-1.View ArticlePubMedGoogle Scholar
- Stanford MS, Mathias CW, Dougherty DM, Lake SL, Anderson NE, Patton JH: Fifty years of the barratt impulsiveness scale: an update and review. Pers Indiv Differ. 2009, 47 (5): 385-395. 10.1016/j.paid.2009.04.008.View ArticleGoogle Scholar
- Ernst M, Bolla K, Mouratidis M, Contoreggi C, Matochik JA, Kurian V, Cadet JL, Kimes AS, London ED: Decision-making in a risk-taking task. A PET Study. Neuropsychopharmacol. 2002, 26 (5): 682-691. 10.1016/S0893-133X(01)00414-6.View ArticleGoogle Scholar
- Tversky A, Kahneman D: Beliefs in the law of small numbers. Psychol Bull. 1971, 76 (2): 105-110.View ArticleGoogle Scholar
- McMurran M, Blair M, Egan V: An investigation of the correlations between aggression, impulsiveness, social problem-solving, and alcohol use. Aggressive Behav. 2002, 28 (6): 439-445. 10.1002/ab.80017.View ArticleGoogle Scholar
- Miller E, Joseph S, Tudway J: Assessing the component structure of four self-report measures of impulsivity. Pers Indiv Differ. 2004, 37 (2): 349-358. 10.1016/j.paid.2003.09.008.View ArticleGoogle Scholar
- Bechara A, Tranel D, Damasio H: Characterization of the decision-making deficit of patients with ventromedial prefrontal cortex lesions. Brain. 2000, 123 (11): 2189-2202. 10.1093/brain/123.11.2189.View ArticlePubMedGoogle Scholar
- Bechara A: Risky business: Emotion, decision-making, and addiction. J Gambl Stud. 2003, 19 (1): 23-51. 10.1023/A:1021223113233.View ArticlePubMedGoogle Scholar
- Busemeyer JR, Stout JC: A contribution of cognitive decision models to clinical assessment: decomposing performance on the Bechara gambling task. Psychol Assess. 2002, 14 (3): 253-262.View ArticlePubMedGoogle Scholar
- Kvaavik E, Rise J: How do impulsivity and education relate to smoking initiation and cessation among young adults?. J Stud Alcohol Drugs. 2012, 73 (5): 804-810.View ArticlePubMedGoogle Scholar
- Pitts SR, Leventhal AM: Associations of functional and dysfunctional impulsivity to smoking characteristics. J Addict Med. 2012, 6 (3): 226-232. 10.1097/ADM.0b013e31825e2a67.View ArticlePubMedPubMed CentralGoogle Scholar
- Terracciano A, Costa PT: Smoking and the five-factor model of personality. Addiction. 2004, 99 (4): 472-481. 10.1111/j.1360-0443.2004.00687.x.View ArticlePubMedPubMed CentralGoogle Scholar
- Yakir A, Rigbi A, Kanyas K, Pollak Y, Kahana G, Karni O, Eitan R, Kertzman S, Lerer B: Why do young women smoke? III. Attention and impulsivity as neurocognitive predisposing factors. Eur Neuropsychopharmacol. 2007, 17 (5): 339-351. 10.1016/j.euroneuro.2006.09.004.View ArticlePubMedGoogle Scholar
- Wohlrab S, Stahl J, Kappeler PM: Modifying the body: motivations for getting tattooed and pierced. Body Image. 2007, 4: 87-95. 10.1016/j.bodyim.2006.12.001.View ArticlePubMedGoogle Scholar
- Beauregard J: Embodied identities: College women’s perspectives on body piercing using developmental models of psychology (dissertation doctoral). 2001, George Mason UniversityGoogle Scholar
- Tate J, Shelton B: Personality correlates of tattooing and body piercing in a college sample: the kids are alright. Pers Indiv Differ. 2008, 45: 281-285. 10.1016/j.paid.2008.04.011.View ArticleGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://0-www.biomedcentral.com.brum.beds.ac.uk/1471-244X/13/278/prepub
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