Patterns and Predictors of Compliance in a Prospective Diary Study of Substance Use and Sexual Behavior in a Sample of Young Men Who Have Sex With Men

Abstract

Behavioral diaries are used for observing health-related behaviors prospectively. Little is known about patterns and predictors of diary compliance to better understand differential attrition. An analytic sample of 241 young men who have sex with men (YMSM) from a 2-month diary study of substance use and sexual behavior were randomized to complete daily or weekly timeline followback diaries. Latent class growth analyses were used to analyze data. Weekly and daily diary groups produced similar compliance patterns: high, low, and declining compliance groups. Black YMSM were more likely to be in the declining compared with the high compliance group. YMSM who were randomly assigned to receive automated feedback about risk behaviors did not differ in compliance rate compared with those who did not. Risk behavior engagement did not predict compliance in the daily condition, but some substances predicted compliance in the weekly condition. Implications for observational and behavior change methods are discussed.

Keywords

behavioral diary methods differential attrition substance use sexual risk behavior young men who have sex with men

Get full access to this article

View all access options for this article.

References

Adamson

S. J.

Kay-Lambkin

F. J.

Baker

A. L.

Lewin

T. J.

Thornton

Kelly

B. J.

Sellman

J. D.

(2010). An improved brief measure of cannabis misuse: The Cannabis Use Disorders Identification Test-Revised (CUDIT-R). Drug and Alcohol Dependence, 110, 137-143. doi:10.1016/j.drugalcdep.2010.02.017

Bandura

(1991). Social cognitive theory of self-regulation. Organizational Behavior and Human Decision Processes, 50, 248-287.

Bolger

Davis

Rafaeli

(2003). Diary methods: Capturing life as it is lived. Annual Review of Psychology, 54, 579-616.

Bolla

K. I.

Brown

Eldreth

Tate

Cadet

J. L.

(2002). Dose-related neurocognitive effects of marijuana use. Neurology, 59, 1337-1343.

Brunner

Stallone

Juneja

Bingham

Marmot

(2001). Dietary assessment in Whitehall II: Comparison of 7 d diet diary and food-frequency questionnaire and validity against biomarkers. British Journal of Nutrition, 86, 405-414.

Burton

Weller

Sharpe

(2007). Are electronic diaries useful for symptoms research? A systematic review. Journal of Psychosomatic Research, 62, 553-561. doi:10.1016/j.jpsychores.2006.12.022

Centers for Disease Control and Prevention. (2015). Diagnoses of HIV infection in the United States and dependent areas, 2013 (Vol. 25). Atlanta, GA: Author.

Compton

W. M.

Saha

T. D.

Conway

K. P.

Grant

B. F.

(2009). The role of cannabis use within a dimensional approach to cannabis use disorders. Drug and Alcohol Dependence, 100, 221-227. doi:10.1016/j.drugalcdep.2008.10.009

Courvoisier

D. S.

Eid

Lischetzke

(2012). Compliance to a cell phone-based ecological momentary assessment study: The effect of time and personality characteristics. Psychological Assessment, 24, 713-720. doi:10.1037/a0026733

10.

De Castro

J. M

. (1994). Methodology, correlational analysis, and interpretation of diet diary records of the food and fluid intake of free-living humans. Appetite, 23, 179-192. doi:10.1006/appe.1994.1045

11.

Dempster

A. P.

Laird

N. M.

Rubin

D. B.

(1977). Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 39, 1-38.

12.

Enders

C. K.

(2010). Applied missing data analysis. New York, NY: Guilford Press.

13.

Enders

C. K.

Bandalos

D. L.

(2001). The relative performance of full information maximum likelihood estimation for missing data in structural equation models. Structural Equation Modeling, 8, 430-457.

14.

Given

J. E.

O’Kane

M. J.

Bunting

B. P.

Coates

V. E.

(2013). Comparing patient-generated blood glucose diary records with meter memory in diabetes: A systematic review. Diabetic Medicine, 30, 901-913. doi:10.1111/dme.12130

15.

Glick

S. N.

Winer

R. L.

Golden

M. R.

(2013). Web-based sex diaries and young adult men who have sex with men: Assessing feasibility, reactivity, and data agreement. Archives of Sexual Behavior, 42, 1327-1335. doi:10.1007/s10508-012-9984-9

16.

Gordon

E. J.

Prohaska

T. R.

Gallant

M. P.

Siminoff

L. A.

(2007). Adherence to immunosuppression: A prospective diary study. Transplant Proceedings, 39, 3081-3085. doi:10.1016/j.transproceed.2007.02.100

17.

Greenfield

T. K.

(2000). Ways of measuring drinking patterns and the difference they make: Experience with graduated frequencies. Journal of Substance Abuse, 12, 33-49.

18.

Hankin

B. L.

Fraley

R. C.

Abela

J. R.

(2005). Daily depression and cognitions about stress: Evidence for a traitlike depressogenic cognitive style and the prediction of depressive symptoms in a prospective daily diary study. Journal of Personality and Social Psychology, 88, 673-685. doi:10.1037/0022-3514.88.4.673

19.

Heyer

G. L.

Rose

S. C.

(2015). Which factors affect daily compliance with an Internet headache diary among youth with migraine? Clinical Journal of Pain, 31, 1075-1079. doi:10.1097/AJP.0000000000000208

20.

Horvath

K. J.

Beadnell

Bowen

A. M.

(2007). A daily web diary of the sexual experiences of men who have sex with men: Comparisons with a retrospective recall survey. AIDS and Behavior, 11, 537-548. doi:10.1007/s10461-007-9206-y

21.

Huber

L. R.

Broel

E. C.

Mitchelides

A. N.

Dmochowski

Dulin

Scholes

(2013). Comparison of prospective daily diaries and retrospective recall to measure oral contraceptive adherence. Contraception, 88, 492-497. doi:10.1016/j.contraception.2013.02.007

22.

Leigh

B. C.

Gillmore

M. R.

Morrison

D. M.

(1998). Comparison of diary and retrospective measures for recording alcohol consumption and sexual activity. Journal of Clinical Epidemiology, 51, 119-127.

23.

Luke

H. D.

(1999). The origins of the sampling theorem. IEEE Communications Magazine, April, 106-108.

24.

Marshal

M. P.

Friedman

M. S.

Stall

King

K. M.

Miles

Gold

M. A.

. . . Morse

J. Q.

(2008). Sexual orientation and adolescent substance use: A meta-analysis and methodological review. Addiction, 103, 546-556.

25.

Morren

van Dulmen

Ouwerkerk

Bensing

(2009). Compliance with momentary pain measurement using electronic diaries: A systematic review. European Journal of Pain, 13, 354-365. doi:10.1016/j.ejpain.2008.05.010

26.

Mushtag

Raij

Ganesan

Kumar

Shiffman

(2011, September). Exploring micro-incentive strategies for participant compensation in high-burden studies. Paper presented at the 13th International Conference on Ubiquitous Computing, Beijing, China.

27.

Mustanski

(2007). The influence of state and trait affect on HIV risk behaviors: A daily diary study of MSM. Health Psychology, 26, 618-626.

28.

Mustanski

Starks

Newcomb

M. E.

(2014). Methods for the design and analysis of relationship and partner effects on sexual health. Archives of Sexual Behavior, 43, 21-33. doi:10.1007/s10508-013-0215-9

29.

Mustanski

B. S.

(2007). Are sexual partners met online associated with HIV/STI risk behaviours? Retrospective and daily diary data in conflict. Aids Care, 19, 822-827. doi:10.1080/09540120701237244

30.

Newcomb

M. E.

(2013). Moderating effect of age on the association between alcohol use and sexual risk in MSM: Evidence for elevated risk among younger MSM. AIDS and Behavior, 17, 1746-1754. doi:10.1007/s10461-013-0470-8

31.

Newcomb

M. E.

Birkett

Corliss

H. L.

Mustanski

(2014). Sexual orientation, gender, and racial differences in illicit drug use in a sample of US high school students. American Journal of Public Health, 104, 304-310. doi:10.2105/AJPH.2013.301702

32.

Newcomb

M. E.

Mustanski

(2013). Racial differences in same-race partnering and the effects of sexual partnership characteristics on HIV Risk in MSM: A prospective sexual diary study. Journal of Acquired Immune Deficiency Syndromes, 62, 329-333. doi:10.1097/QAI.0b013e31827e5f8c

33.

Newcomb

M. E.

Mustanski

(2014). Cognitive influences on sexual risk and risk appraisals in men who have sex with men. Health Psychology, 33, 690-698. doi:10.1037/hea0000010

34.

Pachankis

J. E.

Westmaas

J. L.

Dougherty

L. R.

(2011). The influence of sexual orientation and masculinity on young men’s tobacco smoking. Journal of Consulting and Clinical Psychology, 79, 142-152. doi:10.1037/a0022917

35.

Pope

H. G.

Jr. Yurgelun-Todd

(1996). The residual cognitive effects of heavy marijuana use in college students. Journal of the American Medical Association, 275, 521-527.

36.

Rast

Hofer

S. M.

(2014). Longitudinal design considerations to optimize power to detect variances and covariances among rates of change: Simulation results based on actual longitudinal studies. Psychological Methods, 19, 133-154. doi:10.1037/a0034524

37.

Rendina

H. J.

Ventuneac

Mustanski

Grov

Parsons

J. T.

(2016). Prospective measurement of daily health behaviors: Modeling temporal patterns in missing data, sexual behavior, and substance use in an online daily diary study of gay and bisexual men. AIDS and Behavior,20, 1730-1743. doi:10.1007/s10461-016-1359-0

38.

Rubin

D. B.

(1987). Multiple imputation for nonresponse in surveys. New York, NY: Wiley.

39.

Saunders

J. B.

Aasland

O. G.

Babor

T. F.

de la Fuente

J. R.

Grant

(1993). Development of the Alcohol Use Disorders Identification Test (AUDIT): WHO collaborative project on early detection of persons with harmful alcohol consumption–II. Addiction, 88, 791-804.

40.

Serre

Fatseas

Debrabant

Alexandre

J. M.

Auriacombe

Swendsen

(2012). Ecological momentary assessment in alcohol, tobacco, cannabis and opiate dependence: A comparison of feasibility and validity. Drug and Alcohol Dependence, 126, 118-123. doi:10.1016/j.drugalcdep.2012.04.025

41.

Shiffman

Stone

A. A.

Hufford

M. R.

(2008). Ecological momentary assessment. Annual Review of Clinical Psychology, 4, 1-32.

42.

Shrier

L. A.

Shih

M. C.

Beardslee

W. R.

(2005). Affect and sexual behavior in adolescents: A review of the literature and comparison of momentary sampling with diary and retrospective self-report methods of measurement. Pediatrics, 115, e573-e581. doi:10.1542/peds.2004-2073

43.

Sokolovsky

A. W.

Mermelstein

R. J.

Hedeker

(2014). Factors predicting compliance to ecological momentary assessment among adolescent smokers. Nicotine & Tobacco Research, 16, 351-358. doi:10.1093/ntr/ntt154

44.

Stalgaitis

Glick

S. N.

(2014). The use of web-based diaries in sexual risk behaviour research: A systematic review. Sexually Transmitted Infections, 90, 374-381. doi:10.1136/sextrans-2013-051472

45.

Stephens

R. S.

Wertz

J. S.

Roffman

R. A.

(1993). Predictors of marijuana treatment outcomes: The role of self-efficacy. Journal of Substance Abuse, 5, 341-353.

46.

Stone

A. A.

Broderick

J. E.

Shiffman

S. S.

Schwartz

J. E.

(2004). Understanding recall of weekly pain from a momentary assessment perspective: Absolute agreement, between- and within-person consistency, and judged change in weekly pain. Pain, 107, 61-69.