Article: Reductions in drug use among young people living with HIV

ZIP models were used to detect reductions in drug abuse among young people living with HIV (YPLH) over 15 months when most young people abstain from use. YPLH (n = 171) aged 16 to 29 years were randomly assigned to an 18 session intervention or a delayed-intervention condition. The ZIP models showed significant reductions in abuse of multiple substances over time in the non-delayed intervention. Previous analyses did not find significant reductions. Intervention efficacy often cannot be detected if there are highly skewed distributions of outcomes, such as drug abuse. ZIP modeling offers an opportunity to more reliably detect behavioral changes.

Citing Articles

Designing Evidence-Based Preventive Interventions That Reach More People, Faster, and with More Impact in Global Contexts.

Rotheram-Borus M Annu Rev Clin Psychol. 2021; 17:551-575.

PMID: 33962538 PMC: 10015738. DOI: 10.1146/annurev-clinpsy-081219-120453.

Mobile Phone Ecological Momentary Assessment of Daily Stressors Among People Living With HIV: Elucidating Factors Underlying Health-Related Challenges in Daily Routines.

Farmer S, Mindry D, Comulada W, Swendeman D J Assoc Nurses AIDS Care. 2017; 28(5):737-751.

PMID: 28549526 PMC: 5572472. DOI: 10.1016/j.jana.2017.04.001.

Smartphone self-monitoring to support self-management among people living with HIV: perceived benefits and theory of change from a mixed-methods randomized pilot study.

Swendeman D, Ramanathan N, Baetscher L, Medich M, Scheffler A, Comulada W J Acquir Immune Defic Syndr. 2015; 69 Suppl 1:S80-91.

PMID: 25867783 PMC: 4485442. DOI: 10.1097/QAI.0000000000000570.

Reliability and validity of daily self-monitoring by smartphone application for health-related quality-of-life, antiretroviral adherence, substance use, and sexual behaviors among people living with HIV.

Swendeman D, Comulada W, Ramanathan N, Lazar M, Estrin D AIDS Behav. 2014; 19(2):330-40.

PMID: 25331266 PMC: 4344409. DOI: 10.1007/s10461-014-0923-8.

Some considerations for excess zeroes in substance abuse research.

Bandyopadhyay D, DeSantis S, Korte J, Brady K Am J Drug Alcohol Abuse. 2011; 37(5):376-82.

PMID: 21854280 PMC: 3297079. DOI: 10.3109/00952990.2011.568080.

References

1.

Hall D . Zero-inflated Poisson and binomial regression with random effects: a case study. Biometrics. 2000; 56(4):1030-9. DOI: 10.1111/j.0006-341x.2000.01030.x. View

2.

Rotheram-Borus M, Lee M, Murphy D, Futterman D, Duan N, Birnbaum J . Efficacy of a preventive intervention for youths living with HIV. Am J Public Health. 2001; 91(3):400-5. PMC: 1446609. DOI: 10.2105/ajph.91.3.400. View

3.

Rotheram-Borus M, Lee M, Zhou S, OHara P, Birnbaum J, Swendeman D . Variation in health and risk behavior among youth living with HIV. AIDS Educ Prev. 2001; 13(1):42-54. DOI: 10.1521/aeap.13.1.42.18923. View

4.

Comulada W, Swendeman D, Rotheram-Borus M, Mattes K, Weiss R . Use of HAART among young people living with HIV. Am J Health Behav. 2003; 27(4):389-400. PMC: 2819811. DOI: 10.5993/ajhb.27.4.11. View

5.

Rotheram-Borus M, Swendeman D, Comulada W, Weiss R, Lee M, Lightfoot M . Prevention for substance-using HIV-positive young people: telephone and in-person delivery. J Acquir Immune Defic Syndr. 2004; 37 Suppl 2:S68-77. PMC: 2843590. DOI: 10.1097/01.qai.0000140604.57478.67. View

6.

Johnson R . Drug abuse. Pediatr Rev. 1995; 16(5):197-9. DOI: 10.1542/pir.16-5-197. View

7.

Stormshak E, Comeau C, Shepard S . The relative contribution of sibling deviance and peer deviance in the prediction of substance use across middle childhood. J Abnorm Child Psychol. 2005; 32(6):635-49. DOI: 10.1023/b:jacp.0000047212.49463.c7. View

8.

Choi L, Dominici F, Zeger S, Ouyang P . Estimating treatment efficacy over time: a logistic regression model for binary longitudinal outcomes. Stat Med. 2005; 24(18):2789-805. DOI: 10.1002/sim.2147. View

9.

Lee A, Wang K, Scott J, Yau K, McLachlan G . Multi-level zero-inflated poisson regression modelling of correlated count data with excess zeros. Stat Methods Med Res. 2006; 15(1):47-61. DOI: 10.1191/0962280206sm429oa. View

10.

Hernandez-Avila C, Song C, Kuo L, Tennen H, Armeli S, Kranzler H . Targeted versus daily naltrexone: secondary analysis of effects on average daily drinking. Alcohol Clin Exp Res. 2006; 30(5):860-5. DOI: 10.1111/j.1530-0277.2006.00101.x. View

11.

Nie L, Wu G, Brockman F, Zhang W . Integrated analysis of transcriptomic and proteomic data of Desulfovibrio vulgaris: zero-inflated Poisson regression models to predict abundance of undetected proteins. Bioinformatics. 2006; 22(13):1641-7. DOI: 10.1093/bioinformatics/btl134. View

Reductions in Drug Use Among Young People Living with HIV