The effects of Present Hedonistic Time Perspective and Past Negative Time Perspective on substance use consequences

Drug and Alcohol Dependence

Volumn 152, Issue , 2015, Pages 39-46

  Chavarria, Jesus ^a   Allan, Nicholas P ^a   Moltisanti, Allison ^a   Taylor, Jeanette ^a  

^a FLORIDA STATE UNIVERSITY   (United States)

Author keywords

Past Negative Time Perspective; Present Hedonistic Time Perspective; Substance use; Substance use consequences; Time perspective

Indexed keywords

ILLICIT DRUG;

ADULT; AGED; ALCOHOL CONSUMPTION; ARTICLE; BOOTSTRAPPING; CONTROLLED STUDY; CORRELATIONAL STUDY; DESCRIPTIVE RESEARCH; DRUG USE; FEMALE; HUMAN; MAJOR CLINICAL STUDY; MALE; PAST NEGATIVE TIME PERSPECTIVE; PREDICTIVE VALUE; PRESENT HEDONISTIC TIME PERSPECTIVE; PRIORITY JOURNAL; RISK FACTOR; STATISTICAL MODEL; STRUCTURAL EQUATION MODELING; SUBSTANCE ABUSE; TOXICOLOGICAL PARAMETERS; YOUNG ADULT; DRINKING BEHAVIOR; MIDDLE AGED; PHILOSOPHY; PSYCHOLOGY; TIME PERCEPTION;

ALCOHOL DRINKING; DRUG USERS; FEMALE; HUMANS; MALE; MIDDLE AGED; PHILOSOPHY; RISK FACTORS; TIME PERCEPTION;

EID: 84930477210     PISSN: 03768716     EISSN: 18790046     Source Type: Journal    
DOI: 10.1016/j.drugalcdep.2015.04.027     Document Type: Article

References (64)

1. Bentler P.M. Comparative fit indexes in structural models. Psychol. Bull. 1990, 107:238-246.
2. Berinsky A.J., Huber G.A., Lenz G.S. Evaluating online labor markets for experimental research: Amazon.com's Mechanical Turk. Polit. Anal. 2012, 20:351-368.
3. Buhrmester M., Kwang T., Gosling S.D. Amazon's Mechanical Turk a new source of inexpensive, yet high-quality, data?. Perspect. Psychol. Sci. 2011, 6:3-5.
4. Cappell H., Greeley J. Alcohol tension reduction: an update on research and theory. Psychological Theories of Drinking and Alcoholism 1987, 15-54. Guillford Press, New York, NY. H.T. Blane, K.E. Leonard (Eds.).
5. Chassin L., Flora D.B., King K.M. Trajectories of alcohol and drug use and dependence from adolescence to adulthood: the effects of familial alcoholism and personality. J. Abnorm. Psychol. 2004, 113:483.
6. Chen C.Y., Lin K.M. Health consequences of illegal drug use. Curr. Opin. Psychiatry 2009, 22:287-292.
7. Chen F., Curran P.J., Bollen K.A., Kirby J., Paxton P. An empirical evaluation of the use of fixed cutoff points in RMSEA test statistic in structural equation models. Sociol. Method Res. 2008, 36:462-494.
8. Cheung G.W., Lau R.S. Testing mediation and suppression effects of latent variables bootstrapping with structural equation models. Organ. Res. Methods 2008, 11:296-325.
9. Colder C.R., Campbell R.T., Ruel E., Richardson J.L., Flay B.R. A finite mixture model of growth trajectories of adolescent alcohol use: predictors and consequences. J. Consult. Clin. Psychol. 2002, 70:976.
10. Cyders M.A., Flory K., Rainer S., Smith G.T. The role of personality dispositions to risky behavior in predicting first-year college drinking. Addiction 2009, 104:193-202.
11. Fox H.C., Parrott A.C., Turner J.D. Ecstacy use: cognitive deficits related to dosage rather than self-reported problematic use of the drug. J. Psychopharmacol. 2001, 15:273-281.
12. Gonzalez A., Zimbardo P.G. Time Perspective: a Psychology Today survey report. Psychol. Today 1985, 21-26.
13. Henry K.L. Academic achievement and adolescent drug use: an examination of reciprocal effects and correlated growth trajectories. J. Sch. Health 2010, 80:38-43.
14. Henry K.L., Thornberry T.P. Truancy and escalation of substance use during adolescence. J. Stud. Alcohol Drugs 2010, 71:115.
15. Henson J.M., Carey M.P., Carey K.B., Maisto S.A. Associations among health behaviors and time perspective in young adults: model testing with boot-strapping replication. J. Behav. Med. 2006, 29:127-137.
16. Hodgins D.C., Engel A. Future time perspective in pathological gamblers. J. Nerv. Ment. Dis. 2002, 190:775-780.
17. Hu L., Bentler P.M. Fit indeces in covariance structure modeling: sensitivity to underparametereized model misspecification. Psychol. Methods 1998, 3:424-453.
18. Hu L., Bentler P.M. Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct. Equ. Model. 1999, 7:92-110.
19. Jacobi C., Hayward C., de Zwaan M., Kraemer H.C., Agras W.S. Coming to terms with risk factors for eating disorders: application of risk terminology and suggestings for a general taxonomy. Psychol. Bull. 2004, 130:19-65.
20. Kahler C.W., Hustad J., Barnett N.P., Strong D.R., Borsari B. Validation of the 30-day version of the Brief Young Adult Alcohol Consequences Questionnaire for use in longitudinal studies. J. Stud. Alcohol Drugs 2008, 69:611-615.
21. Kahler C.W., Strong D.R., Read J.P. Toward efficient and comprehensive measurement of the alcohol problems continuum in college students: the Brief Young Adult Alcohol Consequences Questionnaire. Alchohol. Clin. Exp. Res. 2005, 29:1180-1189.
22. Kaiser A.J., Milich R., Lynam D.R., Charnigo R.J. Negative urgency, distress tolerance, and substance abuse among college students. Addict. Behav. 2012, 37:1075-1083.
23. Kassel J.D., Jackson S.I., Unrod M. Generalized expectancies for negative mood regulation and problem drinking among college students. J. Stud. Alcohol Drugs 2000, 61:332.
24. Kenny D.A., McCoach D.B. Effect of the number of variables on measures of fit in structural equation modeling. Struct. Equ. Model. 2003, 10:333-351.
25. Keough K.A., Zimbardo P.G., Boyd J.N. Who's smoking, drinking, and using drugs? Time perspective as a predictor of substance use. Basic Appl. Soc. Psychol. 1999, 21:149-164.
26. Kline R.B. Principles and Practice of Structural Equation Modeling 2011, Guilford, New York, NY. third ed.
27. Kosara R., Ziemkiewicz C. Do Mechanical Turks Dream of square pie charts?. Proceedings of the Third BELIV'10 Workshop: Beyond Time And Errors: Novel Evaluation Methods For Information Visualization 2010, 63-70.
28. Kraemer H.C., Kazdin A.E., Offord D.R., Kessler R.C., Jensen P.S., Kupfer D.J. Coming to terms with the terms of risk. Arch. Gen. Psychiatry 1997, 54:337-343.
29. Kushner M.G., Mackenzie T.B., Fiszdon J., Valentiner D.P., Foa E., Anderson N., Wangensteen D. The effects of alcohol consumption on laboratory-induced panic and state anxiety. Arch. Gen. Psychiatry 1996, 53:264.
30. Levenson R.W., Sher K.J., Grossman L.M., Newman J., Newlin D.B. Alcohol and stress response dampening: pharmacological effects, expectancy, and tension reduction. J. Abnorm. Psychol. 1980, 89:528-538.
31. Mackinnon D.P., Lockwood C.M., Williams J. Confidence limits for the indirect effect: distribution of the product and resampling methods. Multivar. Behav. Res. 2004, 39:99.
32. Miller W.R., Tonigan J.S., Longabaugh R. The Drinker Inventory of Consequences (DrInC): An Instrument for Assessing Adverse Consequences of Alcohol Abuse: Test Manual 1995, US Department of Health and Human Services, Public Health Service, National Institutes of Health, National Institute on Alcohol Abuse and Alcoholism.
33. Moshagen M. The model size effect in SEM: inflated goodness-of-fit statistics are due to the size of the covariance matrix. Struct. Equ. Model. 2012, 19:86-98.
34. Mulaik S. There is a place for approximate fit in structural equation modeling. Pers. Indiv. Differ. 2007, 42:883-891.
35. Muthen B.O., Muthen K.L. Mplus User's Guide 1998-2012, Muthen & Muthen, Los Angelas, CA. seventh ed.
36. Paolacci G., Chandler J. Inside the Turk understanding Mechanical Turk as a participant pool. Curr. Dir. Psychol. Sci. 2014, 23:184-188.
37. Patrick C.J., Curtin J.J., Tellegen A. Development and validation of a brief form of the Multidimensional Personality Questionnaire. Psychol. Assess. 2002, 14:150-163.
38. Pearson M.R., Kite B.A., Henson J.M. Unique direct effects of impulsivity-like traits on alcohol-related outcomes via protective behavioral strategies. J. Drug Educ. 2012, 42:425-446.
39. Petry N.M., Bickel W.K., Arnett M. Shortened time horizons and insensitivity to future consequences in heroin addicts. Addiction 1998, 93:729-738.
40. Preacher K.J., Hayes A.F. Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behav. Res. Methods 2008, 40:879-891.
41. Rehm J., Mathers C., Popova S., Thavorncharoensap M., Teerawattananon Y., Patra J. Global burden of disease and injury and economic cost attributable to alcohol use and alcohol-use disorders. Lancet 2009, 373:2223-2233.
42. Room R., Babor T., Rehm J. Alcohol and public health. Lancet 2005, 365:519-530.
43. Rothspan S., Read S.J. Present versus future time perspective and HIV risk among heterosexual college students. Health Psychol. 1996, 15:131.
44. Rutledge P.C., Sher K.J. Heavy drinking from the freshman year into early young adulthood: the roles of stress, tension-reduction drinking motives, gender and personality. J. Stud. Alcohol 2001, 62:457-466.
45. Settles R.E., Fischer S., Cyders M.A., Combs J.L., Gunn R.L., Smith G.T. Negative urgency: a personality predictor of externalizing behavior characterized by neuroticism, low conscientiousness, and disagreeableness. J. Abnorm. Psychol. 2012, 121:160.
46. Shapiro D.N., Chandler J., Mueller P.A. Using Mechanical Turk to study clinical populations. Clin. Psychol. Sci. 2013, 1:213-220.
47. Sinha R. Chronic stress, drug use, and vulnerability to addiction. Ann. N.Y. Acad. Sci. 2008, 1141:105-130.
48. Sinha R., Li C. Imaging stress-and cue-induced drug and alcohol craving: association with relapse and clinical implications. Drug Alcohol Rev. 2007, 26:25-31.
49. Steiger J.H. Structural model evaluation and modification: an interval estimation approach. Multivar. Behav. Res. 1990, 25:173-180.
50. Stein J.A., Newcomb M.D., Bentler P.M. Structure of drug use behaviors and consequences among young adults: multitrait-multimethod assessment of frequency, quantity, work site, and problem substance use. J. Appl. Psychol. 1988, 73:595-605.
51. Stolarski M., Matthews G., Postek S., Zimbardo P.G., Bitner J. How we feel is a matter of time: relationships between time perspectives and mood. J. Happiness Stud. 2013, 1-19.
52. Stuart G.L., Temple J.R., Follansbee K.W., Bucossi M.M., Hellmuth J.C., Moore T.M. The role of drug use in a conceptual model of intimate partner violence in men and women arrested for domestic violence. Psychol. Addict. Behav. 2008, 22:12-24.
53. Takagi M., Lubman D.I., Cotton S., Fornito A., Baliz Y., Tucker A., Yuecel M. Executive control among adolescent inhalant and cannabis users. Drug Alcohol Rev. 2011, 30:629-637.
54. Tucker L.R., Lewis C. A reliability coefficient for maximum liklihood factor analysis. Psychometrika 1973, 38:1-10.
55. U.S.Department of Health and Human Services Substance Abuse and Mental Health Services Administration Mental Health Services Administration. Results from the 2012 National Survey on Drug Use and Health: Summary of National Findings 2013, Substance Abuse and Mental Health Services Administration, Rockville, MD.
56. United States Department of Justice, National Drug Intelligence Center National Threat Assessment: The Economic Impact of Illicit Drug Use on American Society 2010, US Department of Justice (Ed.), Washington, DC.
57. van Beek W., Berghuis H., Kerkhof A., Beekman A. Time perspective, personality and psychopathology: Zimbardo's time perspective inventory in psychiatry. Time Soc. 2011, 20:364-374.
58. Verster J.C., Herwijnen J.V., Olivier B., Kahler C.W. Validation of the Dutch version of the Brief Young Adult Alcohol Consequences Questionnaire (B-YAACQ). Addict. Behav. 2009, 34:411-414.
59. Wills T.A., Sandy J.M., Shinar O., Yaeger A. Contributions of positive and negative affect to adolescent substance use: test of a bidimensional model in a longitudinal study. Psychol. Addict. Behav. 1999, 13:327.
60. Wills T.A., Sandy J.M., Yaeger A.M. Time perspective and early-onset substance use: a model based on stress-coping theory. Psychol. Addict. Behav. 2001, 15:118.
61. Yuan K.-H. Fit indices versus test statistics. Multivar. Behav. Res. 2005, 40:115-148.
62. Zapolski T.C., Cyders M.A., Smith G.T. Positive urgency predicts illegal drug use and risky sexual behavior. Psychol. Addict. Behav. 2009, 23:348.
63. Zimbardo P.G., Boyd J.N. Putting time in perspective: a valid, reliable individual-differences metric. J. Pers. Soc. Psychol. 1999, 77:1271-1288.
64. Zimbardo P.G., Keough K.A., Boyd J.N. Present time perspective as a predictor of risky driving. Pers. Indiv. Differ. 1997, 23:1007-1023.