Information-motivation-behavioral skills (IMB) model: Testing direct and mediated treatment effects on condom use among women in low-income housing

Background: The Information-Motivation-Behavioral Skills (IMB) model of HIV preventive behavior (1–4) specifies that treatment effects on behavior occur largely as the result of treatment effects on behavioral skills, which follow from effects on information and motivation.Purpose: The objective was to determine whether the variables specified by the IMB model of HIV preventive behavior (1–4) accounted for the relation between an IMB-based treatment and resulting HIV preventive behavior (condom use).Method:Women (n = 557) living in 18 low-income housing developments in 5 geographically dispersed cities were recruited to participate in an HIV-prevention study. Women (within housing developments) were randomly assigned to receive an IMB-based, HIV risk-avoidance intervention or a comparison intervention. Baseline andposttreatment (16 months after baseline) data were collected on condom use information, motivation (social norms, attitudes, intentions, and perceived risk), enactment of behavioral skills (condom negotiation and procurement), and rates of condom use in the past 2 months.Results: The IMB intervention led to a 12% to 16% increase in condom use rates over the course, whereas the comparison intervention led to 2% decrease. In addition, the IMB treatment led to greater increases in condom use information, in the intentions and social norms components of motivation and the condom procurement and condom conversations components of behavioral skills. The IMB model provided an acceptable fit to the data (root mean square error of approximation < .05) and accounted for 50% of the variance inposttreatment condom use among the sample. Treatment effects on condom use were almost entirely mediated by the IMB variables; specifically, motivation and enactment of behavioral skills mediated the intervention’s impact on condom use.Conclusions: These results provide supporting evidence as to how theoretical variables operate to effect change within a theory-based intervention and provide evidence as to the applicability of a prevailing theory of HIV risk behavior among low-income minority women

[1]  Blair T. Johnson,et al.  Enhancing motivation to reduce the risk of HIV infection for economically disadvantaged urban women. , 1997 .

[2]  W A Fisher,et al.  Changing AIDS risk behavior: effects of an intervention emphasizing AIDS risk reduction information, motivation, and behavioral skills in a college student population. , 1996, Health psychology : official journal of the Division of Health Psychology, American Psychological Association.

[3]  Rex B. Kline,et al.  Principles and Practice of Structural Equation Modeling , 1998 .

[4]  M. Carey,et al.  Effects of a brief, theory-based STD-prevention program for female college students. , 2001, The Journal of adolescent health : official publication of the Society for Adolescent Medicine.

[5]  Angela D. Bryan,et al.  Predicting Breast Self‐Examination: A Test of the Information‐Motivation‐Behavioral Skills Model1 , 2003 .

[6]  Craig K. Enders,et al.  The impact of nonnormality on full information maximum-likelihood estimation for structural equation models with missing data. , 2001, Psychological methods.

[7]  William A. Fisher,et al.  Understanding AIDS Risk Behavior Among Sexually Active Urban Adolescents: An Empirical Test of the Information–Motivation–Behavioral Skills Model , 1999, AIDS and Behavior.

[8]  S A Maisto,et al.  Using information, motivational enhancement, and skills training to reduce the risk of HIV infection for low-income urban women: a second randomized clinical trial. , 2000, Health psychology : official journal of the Division of Health Psychology, American Psychological Association.

[9]  William A. Fisher,et al.  Theoretical Approaches to Individual-Level Change in HIV Risk Behavior , 2000 .

[10]  A Shirley,et al.  Cognitive-behavioral intervention to reduce African American adolescents' risk for HIV infection. , 1995, Journal of consulting and clinical psychology.

[11]  K. Hawkins,et al.  Continuation of high-risk behavior by HIV-positive drug users. Treatment implications. , 2000, Journal of substance abuse treatment.

[12]  R. Winett,et al.  Outcomes of a randomized community-level HIV prevention intervention for women living in 18 low-income housing developments. , 2000, American journal of public health.

[13]  J. Fisher,et al.  Tests of the mediational role of preparatory safer sexual behavior in the context of the theory of planned behavior. , 2002, Health psychology : official journal of the Division of Health Psychology, American Psychological Association.

[14]  W A Fisher,et al.  Empirical tests of an information-motivation-behavioral skills model of AIDS-preventive behavior with gay men and heterosexual university students. , 1994, Health psychology : official journal of the Division of Health Psychology, American Psychological Association.

[15]  J. Jemmott,et al.  Applying the Theory of Reasoned Action to AIDS Risk Behavior: Condom Use among Black Women , 1991, Nursing research.

[16]  Jonathan L. Blitstein,et al.  Design and analysis of group-randomized trials: a review of recent methodological developments. , 2004, American journal of public health.

[17]  W A Fisher,et al.  Changing AIDS-risk behavior. , 1992, Psychological bulletin.

[18]  R. Winett,et al.  Predictors of Condom Use and Human Immunodeficiency Virus Test Seeking Among Women Living in Inner‐City Public Housing Developments , 1996, Sexually transmitted diseases.

[19]  J. Catania,et al.  A test of the AIDS risk reduction model: psychosocial correlates of condom use in the AMEN cohort survey. , 1994, Health psychology : official journal of the Division of Health Psychology, American Psychological Association.

[20]  R. Hoffmann,et al.  HIV Risk Characteristics of Young Adult, Adult, and Older Adult Women Who Live in Inner-City Housing Developments: Implications for Prevention , 1995 .

[21]  D. A. Kenny,et al.  The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. , 1986, Journal of personality and social psychology.

[22]  E. Anderson,et al.  Multiple partners, risky partners and HIV risk among low-income urban women. , 1995, Family planning perspectives.

[23]  Karl G. Jöreskog,et al.  Lisrel 8: Structural Equation Modeling With the Simplis Command Language , 1993 .

[24]  D. Hopkins Prevention of HIV infection. , 1987, JAMA.

[25]  Jessica B. Janega,et al.  Design and analysis of group-randomized trials: a review of recent practices. , 2004, American journal of public health.

[26]  R. Steketee,et al.  HIV in the United States at the turn of the century: an epidemic in transition. , 2001, American journal of public health.

[27]  Jeffrey D Fisher,et al.  Information-motivation-behavioral skills model-based HIV risk behavior change intervention for inner-city high school youth. , 2002, Health psychology : official journal of the Division of Health Psychology, American Psychological Association.

[28]  G. Holmbeck Toward terminological, conceptual, and statistical clarity in the study of mediators and moderators : examples from the child-clinical and pediatric psychology literatures , 1997 .

[29]  R. Winett,et al.  HIV risk behaviors among women living in low-income, inner-city housing developments. , 1996, American journal of public health.