Denial, Daily Hassles and Distress in HIV Positive Individuals
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Transcript of Denial, Daily Hassles and Distress in HIV Positive Individuals
Center for Psychosocial Health
Denial, Daily Hassles and Distress in HIV Positive
Individuals
Brooke Gomez, Thomas DeSena M.A., James Miller M.A., Kyle Deaton B.A., & John Ridings B.A., Mark
Vosvick PhD University of North Texas
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BACKGROUND• Health Distress is associated with lower
Quality of Life, higher anxiety, depression and general emotional distress in people living with HIV/AIDS (Lightfoot, et. al. ,2005).
• Denial is a significant predictor of lowering treatment initiation and retention in mental health care (Ortega, Bicaldo, 2005). Illness denial is a major indicator of nonresponsiveness and nonadherence of treatment (Sperry, 2009).
• Daily Hassles can be more influential than a major life event as they occur more frequently (Landreville, 1992). In the HIV+ population, it is predicted that the intensity of these hassles will predict lowered quality of life.
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Social Cognitive Theory (Bandura, 1997)Person (Cognition)
Health Distress
Environment
Daily Hassles
BehaviorDenial Coping
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Theoretical model
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Hypotheses
1. Daily Hassles are negatively associated with Health Distress.
2. Denial is negatively associated with Health Distress.
3. Daily Hassles and Denial explain a significant portion of variance in Health Distress.
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Participants• Participants were recruited from the
Dallas/Fort Worth metroplex• Participants received a $15 incentive• Participants were 18 years or over, HIV+ and
English speaking• Participants signed informed consent and IRB
approval was obtained
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DemographicsN= 221
Variable N % M(SD) Range
Female 111
50.2%
African American
116
52.5%
European American
36 16.3%
Latino 66 29.9%Other 3 1.4%Age 41.6
(8.5)19-68
Education (years)
12.1 (2.5)
1-19
Income < $10,000
152
68.8%Center for Psychosocial Health
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Procedures• Participants were given an electronic survey at either
the Dallas Resource Center or the Samaritan House in Fort Worth.
• Each survey took approximately 1.5-2 hours to complete.
• Participants were given an ID number to ensure confidentiality.
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measuresDaily Hassles Scale
(Kanner, et al., 1980) Intensity subscale; 3 point likert-type scale;
anchors 1 (somewhat extreme) to 3 (extremely extreme); higher scores denote a
higher intensity of daily hassles Example of item: “Problems with your
children”
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MeasuresBrief Cope Scale
(Carver, 1997)Denial subscale; α= .54; 3 point likert-type scale; anchors 0 (I haven’t been doing this at all) and 3 (I’ve been doing this a lot); higher scores indicate higher use of denial coping;
concurrent validity (Carver 1997)
Example of item: “I’ve been saying to myself ‘this isn’t real’
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MeasuresMOS-HIV Scale
(Wu et al., 1991) Health Distress Subscale; α =.91; 6 point likert-
type scale; anchors 1 (all the time) and 6 (none of the time), with higher scores
denoting less health distress; construct validity (Wu et al., 1991)
Example of item: “How often in the last four weeks were you discouraged by your health
problems?”Center for Psychosocial Health
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Mean(SD) Possible Range
Actual Range
Calculated α
Daily Hassles 1.8 (.52) 1-3 1-3 .97Denial 3.7 (1.90) 2-8 2-8 .76Health
Distress51.7
(24.61)0-100 0-83.3 .94
Data analysisUnivariate
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Data was first cleaned and checked for normalcy.
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Data analysis
1. 2. 3. 4. 5. 6. 71. Age -2.Education .08 -3. Female .12* .04 -4. African American
.13* .07 -.03 -
5. <10,000 -.02 -.09 -.16** .08 -6. Daily Hassles
-.04 .01 -.08 .10 .01 -
7. Denial .01 -.07 -.01 .07 .05 .32** -8. Health Distress
.13 -.03 .02 .06 .06 -.03 .01
Bivariate p<.05*, p<.01**
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Data Analysis
IV β t p Tol VIFDaily Hassles .39 -6.18 <.001 .90 1.1
Denial .44 -7.18 <.001 .90 1.1African
American-.20 -2.17 <.05 .98 1.0
AgeEducationIncome < $10,000Female
Hierarchical Regression Analysis
F(7,213)= 27.96, adj. R² =.25, p<.001
Out come variable: Health Distress
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discussion
1. Daily Hassles are negatively associated with Health Distress: Not supported
2. Denial is negatively associated with Health Distress: Not supported
3. Daily Hassles and Denial explain a significant portion of variance in Health Distress: Supported
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discussion• Denying HIV status creates a barrier for
treatment. Patients may avoid health care or deny taking medication (Luseno, Wechsberg, Kline, Ellerson, 2010).
• Quality of life can be increased by using an alternative coping strategy such as acceptance (Gray & Hedge, 1999).
• In addition to our hypothesized variables, being of African American ethnicity also serves as a predictor of health distress.
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Clinical implications• Cognitive-behavioral therapy can be used to
find more constructive forms of coping.• Clinicians can focus on finding the daily
hassles in a client’s life and finding a more effective way of handling the stress that comes with these hassles.
• Since African American ethnicity is a significant indicator of variance in health distress, giving greater attention to this community would serve to be beneficial.
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limitations
• Some responses may be influenced by self report bias.
• Limited generalizability due to sample’s demographics (ethnicity, locations, etc.).
• Due to cross sectional correlational design, causation cannot be inferred.
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acknowledgements
We would like to thank the Center for Psychosocial Health Research’s members and
faculty, the HIV community, the Dallas Resource Center and the Samaritan House of
Fort Worth.
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Questions?
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References • Gray, J., & Hedge, B. (1999). Psychological distress and coping in the partners of gay men
with HIV-related disease. British Journal of Health Psychology, 4(Part 2), 117-126. doi:10.1348/135910799168515
• Landreville, P., & Vézina, J. (1992). A comparison between daily hassles and major life events as correlates of well-being in older adults. Canadian Journal on Aging, 11(2), 137-149. Retrieved from EBSCOhost.
• Lightfoot, M., Swendeman, D., Rotheram-Borus, M., Comulada, W., & Weiss, R. (2005). Risk Behaviors of Youth Living with HIV: Pre- and Post-HAART. American Journal of Health Behavior, 29(2), 162-171. Retrieved from EBSCOhost.
• Luseno, W. K., Wechsberg, W. M., Kline, T. L., & Ellerson, R. (2010). Health services utilization among South African women living with HIV and reporting sexual and substance-use risk behaviors. AIDS Patient Care and STDs, 24(4), 257-264. doi:10.1089/apc.2009.0213
• Ortega, N. L., Bicaldo, B. F., Sobritchea, C. C., & Tan, M. L. (2005). Exploring the realities of HIV/AIDS-related discrimination in Manila, Philippines. AIDS Care, 17(Suppl2), S153-S164. doi:10.1080/09540120500119833
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