Experience-Induced Change of Alcohol-Related Risk Perception in Patients with Alcohol Use Disorders

Sarah Klepper, Michael Odenwald, Susanne Rösner, Smeralda Senn, Hans Menning, Devi Pereyra-Kröll, Brigitte Rockstroh, Sarah Klepper, Michael Odenwald, Susanne Rösner, Smeralda Senn, Hans Menning, Devi Pereyra-Kröll, Brigitte Rockstroh

Abstract

The role of alcohol-related risk perception for effective treatment of alcohol use disorders (AUD) is still unclear. The present study on 101 alcohol-dependent patients undergoing a 10-week AUD treatment protocol investigated the relationship between alcohol-related risk perception and alcohol use with the hypotheses that (1) risk perception changes across treatment, (2) changes vary with treatment-related experiences of abstinence/relapse indicating 'risk reappraisal,' and (3) adjustment of perceived own vulnerability according to 'risk reappraisal hypothesis' predicts abstinence during follow-up. Abstinence during treatment was related to a decrease, and relapse during treatment to a slight increase in perceived own risks. Abstinence during the 3-month follow-up varied with experience-induced risk reappraisal. The results show an impact of risk reappraisal on alcohol use and hence advocate a focus on risk reappraisal in AUD treatment.

Keywords: alcohol addiction; feedback; risk perception; risk reappraisal; treatment.

Figures

FIGURE 1
FIGURE 1
Flowchart of participants across different points of assessment. N = 62 participated in T1 and T3. T2 denotes the point in time, when information about alcohol use during treatment was available from patient files of all 101 participants, so that n = 101 data sets were submitted to hypotheses testing.
FIGURE 2
FIGURE 2
Linear functions of fixed predicted values (multivariate linear mixed model) to visualize the change in the FAR subscales (A) POV, (B) PV, (C) AR, and (D) PE over a treatment episode by relapse/abstinence. Solid line: patients who relapsed during treatment. Dashed line: patients who successfully abstained from alcohol during treatment. POV, perceived own vulnerability; PV, peer vulnerability; AR, affective risk perception; PE, precaution effectiveness.

References

    1. Agricola C. (2015). Entwicklung und Validieren einer Kurzversion eines Fragebogens zur Erfassung Alkoholassoziierter Risikowahrnehmung – Untersuchung an einer Stichprobe Alkoholkranker und Gesunder Personen. Master’s thesis, University of Konstanz, Konstanz.
    1. Alhakami A. S., Slovic P. (1994). A psychological study of the inverse relationship between perceived risk and perceived benefit. Risk Anal. 141085–1096. 10.1111/j.1539-6924.1994.tb00080.x
    1. Arolt V., Driessen M. (1996). Alcoholism and psychiatric comorbidity in general hospital inpatients. Gen. Hosp. Psychiatry 18 271–277. 10.1016/0163-8343(96)00021-7
    1. Bandura A. (1976). Lernen am Modell: Ansätze zu einer sozial-kognitiven Lerntheorie. Stuttgart: Klett.
    1. Borrelli B., Hayes R. B., Dunsiger S., Fava J. L. (2010). Risk perception and smoking behavior in medically ill smokers: a prospective study. Addiction 105 1100–1108. 10.1111/j.1360-0443.2010.02900.x
    1. Brewer N. T., Chapman G. B., Gibbons F. X., Gerrard M., McCaul K. D., Weinstein N. D. (2007). Meta-analysis of the relationship between risk perception and health behavior: the example of vaccination. Health Psychol. 26 136–145. 10.1037/0278-6133.26.2.136
    1. Brewer N. T., Weinstein N. D., Cuite C. L., Herrington J. E. (2004). Risk perceptions and their relation to risk behavior. Ann. Behav. Med. 27 125–130. 10.1207/s15324796abm2702_7
    1. Carey K. B. (1997). Reliability and validity of the time-line follow-back interview among psychiatric outpatients: a preliminary report. Psychol. Addict. Behav. 11 26–33. 10.1037/0893-164X.11.1.26
    1. Fox-Wasylyshyn S. M., El-Masri M. M. (2005). Handling missing data in self-report measures. Res. Nurs. Health 28 488–495. 10.1002/nur.20100
    1. Gerrard M., Gibbons F. X., Benthin A. C., Hessling R. M. (1996). A longitudinal study of the reciprocal nature of risk behaviors and cognitions in adolescents: what you do shapes what you think, and vice versa. Health Psychol. 15 344–354. 10.1037/0278-6133.15.5.344
    1. Glenn B. A., Herrmann A. K., Crespi C. M., Mojica C. M., Chang L. C., Maxwell A. E., et al. (2011). Changes in risk perceptions in relation to self-reported colorectal cancer screening among first-degree relatives of colorectal cancer cases enrolled in a randomized trial. Health Psychol. 30 481–491. 10.1037/a0024288
    1. Greenfield T. K., Rogers J. D. (1999). Alcoholic beverage choice, risk perception and self-reported drunk driving: effects of measurement on risk analysis. Addiction 94 1735–1743. 10.1046/j.1360-0443.1999.9411173510.x
    1. Grevenstein D., Nagy E., Kroeninger-Jungaberle H. (2015). Development of risk perception and substance use of tobacco, alcohol and cannabis among adolescents and emerging adults: evidence of directional influences. Subst. Use Misuse 50 376–386. 10.3109/10826084.2014.984847
    1. Halpern-Felsher B. L., Millstein S. G., Ellen J. M., Adler N. E., Tschann J. M., Biehl M. (2001). The role of behavioral experience in judging risks. Health Psychol. 20 120–126. 10.1037/0278-6133.20.2.120
    1. Jacobson N. S., Truax P. (1991). Clinical significance: a statistical approach to defining meaningful change in psychotherapy research. J. Consult. Clin. Psychol. 59 12–19. 10.1037/0022-006X.59.1.12
    1. Klepper S., Odenwald M., Rockstroh B. (2016). Risikowahrnehmung und alkoholabhängigkeit. SUCHT 62 374–382. 10.1024/0939-5911/a000457
    1. Kraus L., Baumeister S. E., Pabst A., Orth B. (2009). Association of average daily alcohol consumption, binge drinking and alcohol-related social problems: results from the German epidemiological surveys of substance abuse. Alcohol. Alcohol. 44 314–320. 10.1093/alcalc/agn110
    1. Little R. J. (1988). A test of missing completely at random for multivariate data with missing values. J. Am. Stat. Assoc. 83 1198–1202. 10.1080/01621459.1988.10478722
    1. Loewenstein G. F., Weber E. U., Hsee C. K., Welch N. (2001). Risk as feelings. Psychol. Bull. 127 267–286. 10.1037/0033-2909.127.2.267
    1. Lundborg P., Lindgren B. (2002). Risk perceptions and alcohol consumption among young people. J. Risk Uncertain. 25 165–183. 10.1023/A:1020695730192
    1. Miller W. R., Rollnick S. (2012). Motivational Interviewing: Helping People Change. New York, NY: Guilford press.
    1. Miller W. R., Walters S. T., Bennett M. E. (2001). How effective is alcoholism treatment in the United States? J. Stud. Alcohol. 62 211–220. 10.15288/jsa.2001.62.211
    1. Monahan S. C., Finney J. W. (1996). Explaining abstinence rates following treatment for alcohol abuse: a quantitative synthesis of patient, research design and treatment effects. Addiction 91 787–805. 10.1111/j.1360-0443.1996.tb03575.x
    1. O’Leary M. R., Donovan D. M., Chaney E. F., Walker R. D. (1979). Cognitive impairment and treatment outcome with alcoholics: preliminary findings. J. Clin. Psychiatry 40 397–398.
    1. Renner B., Schupp H. T. (2005). “Gesundheitliche risiken: wahrnehmung und verarbeitung,” in Gesundheitspsychologie. Enzyklopädie der Psychologie ed. Schwarzer R. (Göttingen: Hogrefe; ), 173–193.
    1. Renner B., Schüz B., Sniehotta F. F. (2008). Preventive health behavior and adaptive accuracy of risk perceptions. Risk Anal. 28 741–748. 10.1111/j.1539-6924.2008.01047.x
    1. Room R., Babor T., Rehm J. (2005). Alcohol and public health. Lancet 365 519–530. 10.1016/S0140-6736(05)70276-2
    1. Rosenstock I. M., Strecher V. J., Becker M. H. (1988). Social learning theory and the health belief model. Health Educ. Behav. 15 175–183. 10.1177/109019818801500203
    1. Sjöberg L. (1998). Risk perception of alcohol consumption. Alcohol. Clin. Exp. Res. 22(7 Suppl.), 277S–284S. 10.1111/j.1530-0277.1998.tb04380.x
    1. Slovic P., Peters E. (2006). Risk perception and affect. Curr. Dir. Psychol. Sci. 15 322–325. 10.1111/j.1467-8721.2006.00461.x
    1. Sobell L. C., Sobell M. B. (1992). “Timeline follow-back,” in Measuring Alcohol Consumption, eds Allen J., Litten R. Z. (Totowa, NJ: Humana Press; ), 41–72. 10.1007/978-1-4612-0357-5_3
    1. Substance Abuse and Mental Health Services Administration (2009). Perceptions of Risk from Substance Use Among Adolescents. The NSDUH Report. Rockville, MD: Substance Abuse and Mental Health Services Administration.
    1. Van de Mortel T. F. (2008). Faking it: social desirability response bias in self-report research. Aust. J. Adv. Nurs. 25:40.
    1. Weinberger A. H., Mazure C. M., McKee S. A. (2010). Perceived risks and benefits of quitting smoking in non-treatment seekers. Addict. Res. Theory 18 456–463. 10.3109/16066350903145072
    1. Weinstein N. D., Sandman P. M., Blalock S. J. (2008). “The precaution adoption process model,” in Health Behavior and Health Education: Theory, Research and Practice, eds Glanz K., Rimer B. K., Viswanath K. (San Francisco, CA: Jossey-Bass; ), 123–148.
    1. Wild T. C., Cunningham J. (2001). Psychosocial determinants of perceived vulnerability to harm among adult drinkers. J. Stud. Alcohol. 62 105–113. 10.15288/jsa.2001.62.105
    1. Wild T. C., Hinson R., Cunningham J., Bacchiochi J. (2001). Perceived vulnerability to alcohol-related harm in young adults: independent effects of risky alcohol use and drinking motives. Exp. Clin. Psychopharmacol. 9 117–125. 10.1037/1064-1297.9.1.117
    1. Youngstrom E. A. (2014). A primer on receiver operating characteristic analysis and diagnostic efficiency statistics for pediatric psychology: we are ready to ROC. J. Pediatr. Psychol. 39 204–221. 10.1093/jpepsy/jst062

Source: PubMed

3
S'abonner