nach oben

AIDS and Behavior

Erschienen in:

18.03.2016 | Original Paper

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

verfasst von: H. Jonathon Rendina, Ana Ventuneac, Brian Mustanski, Christian Grov, Jeffrey T. Parsons

Erschienen in: AIDS and Behavior | Ausgabe 8/2016

Einloggen, um Zugang zu erhalten

Abstract

Daily diary and other intensive longitudinal methods are increasingly being used to investigate fluctuations in psychological and behavioral processes. To inform the development of this methodology, we sought to explore predictors of and patterns in diary compliance and behavioral reports. We used multilevel modeling to analyze data from an online daily diary study of 371 gay and bisexual men focused on sexual behavior and substance use. We found that greater education and older age as well as lower frequency of substance use were associated with higher compliance. Using polynomial and trigonometric functions, we found evidence for circaseptan patterns in compliance, sexual behavior, and substance use, as well as linear declines in compliance and behavior over time. The results suggest potential sources of non-random patterns of missing data and suggest that trigonometric terms provide a similar but more parsimonious investigation of circaseptan rhythms than do third-order polynomial terms.

Bolger N, Davis A, Rafaeli E. Diary methods: capturing life as it is lived. Annu Rev Psychol. 2003;54:579–616.CrossRefPubMed

Wheeler L, Reis HT. Self-recording of everyday life events: origins, types, and uses. J Pers. 1991;59:339–54.CrossRef

Mehl MR, Conner TS. Handbook of research methods for studying daily life. New York: The Guilford Press; 2012.

Abu-Hasaballah K, James A, Aseltine RH Jr. Lessons and pitfalls of interactive voice response in medical research. Contemp Clin Trials. 2007;28(5):593–602.CrossRefPubMed

Cranford JA, Tennen HA, Zucker RA. Feasibility of using interactive voice response to monitor daily drinking, moods, and relationship processes on a daily bais on alcoholic couples. Alcohol Clin Exp Res. 2010;34(3):499–508.CrossRefPubMed

Haberer JE, Kiwanuka J, Nansera D, Wilson IB, Bangsberg DR. Challenges in using mobile phones for collection of antiretroviral therapy adherence data in a resource-limited setting. AIDS Behav. 2010;14:1294–301.CrossRefPubMedPubMedCentral

Kobak KA, Greist JH, Jefferson JW, Mundt JC, Katzelnick DJ. Computerized assessment of depression and anxiety over the telephone using interactive voice response. MD Comput. 1999;16(3):64–8.PubMed

Lieberman G, Naylor MR. Interactive voice response technology for symptom monitoring and as an adjunct to the treatment of chronic pain. Transl Behav Med. 2012;2(1):93–101.CrossRefPubMedPubMedCentral

Newes-Adeyi G, Greece J, Bozeman S, Walker DK, Lewis F, Gidudu J. Active surveillance for influenza vaccine adverse events: the integrated vaccine surveillance system. Vaccine. 2012;30(6):1050–5.CrossRefPubMed

10.

Piette JD. Interactive voice response systems in the diagnosis and management of chronic disease. Am J Manag Care. 2000;6(7):817–27.PubMed

11.

Schroder KE, Johnson CJ. Interactive voice response technology to measure HIV-related behavior. Curr HIV/AIDS Rep. 2009;6(4):210–6.CrossRefPubMed

12.

Toll BA, Conney NL, McKee SA, O’Malley SS. Do daily interactive voice response reports of smoking behavior correspond with retrospective reports? Psychol Addict Behav. 2005;19(3):291–5.CrossRefPubMedPubMedCentral

13.

Tucker JA, Foushee HR, Black BC, Roth DL. Agreement between prospective IVR self-monitoring and structured retrospective reports of drinking and contextual variables during natural resolution attempts. J Stud Alcohol Drugs. 2007;68:538–42.CrossRefPubMed

14.

Tucker JA, Simpson CA, Huan J, Roth DL, Stewart KE. Utility of an interactive voice response system to assess antiretroviral pharmacotherapy adherence among substance users living with HIV/AIDS in the rural south. AIDS Patient Care STDs. 2013;27(5):280–6.CrossRefPubMedPubMedCentral

15.

Shiffman S, Hufford M, Hickcox M, Paty JA, Gnys M, Kassel JD. Remember that? A comparison of real-time versus retrospective recall of smoking lapses. J Consult Clin Psychol. 1997;65(2):292.CrossRefPubMed

16.

Fortenberry JD, Temkit MH, Tu W, Graham CA, Katz BP, Orr DP. Daily mood, partner support, sexual interest, and sexual activity among adolescent women. Health Psychol. 2005;24(3):252.CrossRefPubMed

17.

Mustanski B. Are sexual partners met online associated with HIV/STI risk behaviours? Retrospective and daily diary data in conflict. AIDS Care. 2007;19(6):822–7.CrossRefPubMed

18.

Newcomb ME. Moderating effect of age on the association between alcohol use and sexual risk in MSM: evidence for elevated risk among younger MSM. AIDS Behav. 2013;17(5):1746–54.CrossRefPubMedPubMedCentral

19.

Newcomb ME, Mustanski B. Diaries for observation or intervention of health behaviors: factors that predict reactivity in a sexual diary study of men who have sex with men. Ann Behav Med. 2014;47(3):325–34.CrossRefPubMedPubMedCentral

20.

Parsons JT, Rendina HJ, Grov C, Ventuneac A, Mustanski B. Accuracy of highly sexually active gay and bisexual men’s predictions of their daily likelihood of anal sex and its relevance for intermittent event-driven HIV pre-exposure prophylaxis. J Acquir Immune Defic Syndr. 2015;68(4):449–55.CrossRefPubMedPubMedCentral

21.

Rendina HJ, Moody RL, Ventuneac A, Grov C, Parsons JT. Aggregate and event-level associations between substance use and sexual behavior among gay and bisexual men: comparing retrospective and prospective data. Drug Alcohol Depend. 2015;154:199–207.CrossRefPubMed

22.

Schroder KE, Johnson CJ, Wiebe JS. Interactive voice response technology applied to sexual behavior self-reports: a comparison of three methods. AIDS Behav. 2007;11:313–23.CrossRefPubMed

23.

Glick SN, Winer RL, Golden MR. Web-based sex diaries and young adult men who have sex with men: assessing feasibility, reactivity, and data agreement. Arch Sex Behav. 2013;42(7):1327–35.CrossRefPubMed

24.

Green AS, Rafaeli E, Bolger N, Shrout PE, Reis HT. Paper or plastic? Data equivalence in paper and electronic diaries. Psychol Methods. 2006;11(1):87–105.CrossRefPubMed

25.

Grov C, Golub SA, Mustanski B, Parsons JT. Sexual compulsivity, state affect, and sexual risk behavior in a daily diary study of gay and bisexual men. Psychol Addict Behav. 2010;24(3):487.CrossRefPubMed

26.

Horvath KJ, Beadnell B, Bowen AM. A daily web diary of the sexual experiences of men who have sex with men: comparisons with a retrospective recall survey. AIDS Behav. 2007;11(4):537–48.CrossRefPubMed

27.

Mundt JC, Perrine MW, Searles JS, Walter D. An application of interactive voice response (IVR) technology to longitudinal studies of daily behavior. Behav Res Methods Instrum Comput. 1995;27(3):351–7.CrossRef

28.

Gunthert KC, Wenze SJ. Daily diary methods. In: Mehl MR, Conner TS, editors. Handbook of research methods for studying daily life. New York: The Guilford Press; 2012.

29.

Gatehouse CS, Tennen HA, Feinn RS, Abu-Hasaballah KS, Lalla RV. Association between interactive voice response adherence and subject retention in a randomized controlled trial. Contemp Clin Trials. 2012;33(4):589–92.CrossRefPubMedPubMedCentral

30.

Courvoisier DS, Eid M, Lischetzke T. Compliance to a cell phone-based ecological momentary assessment study: the effect of time and personality characteristics. Psychol Assess. 2012;24(3):713.CrossRefPubMed

31.

Stone AA, Broderick JE, Schwartz JE, Shiffman S, Litcher-Kelly L, Calvanese P. Intensive momentary reporting of pain with an electronic diary: reactivity, compliance, and patient satisfaction. Pain. 2003;104(1):343–51.CrossRefPubMed

32.

Black AC, Harel O, Matthews G. Techniques for analyzing intensive longitudinal data with missing values. In: Mehl MR, Conner TS, editors. Handbook of research methods for studying daily life. New York: Guilford; 2012. p. 339–56.

33.

Broderick JE, Schwartz JE, Shiffman S, Hufford MR, Stone AA. Signaling does not adequately improve diary compliance. Ann Behav Med. 2003;26(2):139–48.CrossRefPubMed

34.

Stone AA, Shiffman S. Capturing momentary, self-report data: a proposal for reporting guidelines. Ann Behav Med. 2002;24(3):236–43.CrossRefPubMed

35.

Stone AA, Shiffman S, Schwartz JE, Broderick JE, Hufford MR. Patient non-compliance with paper diaries. Br Med J. 2002;324:1193–4.CrossRef

36.

Stone AA, Shiffman S, Schwartz JE, Broderick JE, Hufford MR. Patient compliance with paper and electronic diaries. Control Clin Trials. 2003;24(2):182–99.CrossRefPubMed

37.

Heyer GL, Rose SC. Which factors affect daily compliance with an internet headache diary among youth with migraine? Clin J Pain. 2015;31:1075–9.CrossRefPubMed

38.

Lewandowski AS, Palermo TM, Kirchner HL, Drotar D. Comparing diary and retrospective reports of pain and activity restriction in children and adolescents with chronic pain conditions. Clin J Pain. 2009;25(4):299.CrossRefPubMedPubMedCentral

39.

Kiene SM, Tennen H, Armeli S. Today I’ll use a condom, but who knows about tomorrow: a daily process study of variability in predictors of condom use. Health Psychol. 2008;27(4):463.CrossRefPubMedPubMedCentral

40.

Edwards S, Evans P, Hucklebridge F, Clow A. Association between time of awakening and diurnal cortisol secretory activity. Psychoneuroendocrinology. 2001;26(6):613–22.CrossRefPubMed

41.

Nater UM, Hoppmann CA, Scott SB. Diurnal profiles of salivary cortisol and alpha-amylase change across the adult lifespan: evidence from repeated daily life assessments. Psychoneuroendocrinology. 2013;38(12):3167–71.CrossRefPubMed

42.

Jobin J, Wrosch C, Scheier MF. Associations between dispositional optimism and diurnal cortisol in a community sample: when stress is perceived as higher than normal. Health Psychol. 2014;33(4):382.CrossRefPubMed

43.

DeSantis AS, Adam EK, Hawkley LC, Kudielka BM, Cacioppo JT. Racial and ethnic differences in diurnal cortisol rhythms: are they consistent over time? Psychosom Med. 2015;77(1):6–15.CrossRefPubMed

44.

Doane LD, Mineka S, Zinbarg RE, Craske M, Griffith JW, Adam EK. Are flatter diurnal cortisol rhythms associated with major depression and anxiety disorders in late adolescence? The role of life stress and daily negative emotion. Dev Psychopathol. 2013;25(03):629–42.CrossRefPubMed

45.

Dawkins L, Powell JH, Pickering A, Powell J, West R. Patterns of change in withdrawal symptoms, desire to smoke, reward motivation and response inhibition across 3 months of smoking abstinence. Addiction. 2009;104(5):850–8.CrossRefPubMedPubMedCentral

46.

McCarthy DE, Piasecki TM, Fiore MC, Baker TB. Life before and after quitting smoking: an electronic diary study. J Abnorm Psychol. 2006;115(3):454.CrossRefPubMed

47.

Stolwijk A, Straatman H, Zielhuis G. Studying seasonality by using sine and cosine functions in regression analysis. J Epidemiol Commun Health. 1999;53(4):235–8.CrossRef

48.

Steinberg DM, Levine EL, Lane I, et al. Adherence to self-monitoring via interactive voice response technology in an eHealth intervention targeting weight gain prevention among Black women: randomized controlled trial. J Med Intern Res. 2014;16(4):e114.

49.

Pachankis JE, Rendina HJ, Ventuneac A, Grov C, Parsons JT. The role of maladaptive cognitions in hypersexuality among highly sexually active gay and bisexual men. Arch Sex Behav. 2014;43(4):669–83.CrossRefPubMedPubMedCentral

50.

Parsons JT, Rendina HJ, Ventuneac A, Cook KF, Grov C, Mustanski B. A psychometric investigation of the hypersexual disorder screening inventory among highly sexually active gay and bisexual men: an item response theory analysis. J Sex Med. 2013;10(12):3088–101.CrossRefPubMed

51.

Ventuneac A, Rendina HJ, Grov C, Mustanski B, Parsons JT. An item response theory analysis of the sexual compulsivity scale and its correspondence with the hypersexual disorder screening inventory among a sample of highly sexually active gay and bisexual men. J Sex Med. 2015;12(2):481–93.CrossRefPubMed

52.

Mustanski B. The influence of state and trait affect on HIV risk behaviors: a daily diary study of MSM. Health Psychol. 2007;26(5):618.CrossRefPubMed

53.

Shiffman S. Ecological momentary assessment (EMA) in studies of substance use. Psychol Assess. 2009;21(4):486.CrossRefPubMedPubMedCentral

Titel: 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
verfasst von: H. Jonathon Rendina
Ana Ventuneac
Brian Mustanski
Christian Grov
Jeffrey T. Parsons
Publikationsdatum: 18.03.2016
Verlag: Springer US
Erschienen in: AIDS and Behavior / Ausgabe 8/2016
Print ISSN: 1090-7165
Elektronische ISSN: 1573-3254
DOI: https://doi.org/10.1007/s10461-016-1359-0

Leitlinien kompakt für die Innere Medizin

Mit medbee Pocketcards sicher entscheiden.

^{Seit 2022 gehört die medbee GmbH zum Springer Medizin Verlag}

Kostenlos registrieren

Neu im Fachgebiet Innere Medizin

24.04.2024 | DGIM 2024 | Kongressbericht | Nachrichten

Update Innere Medizin

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.

Newsletter bestellen

Springer Medizin

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

Abstract

Leitlinien kompakt für die Innere Medizin

Neu im Fachgebiet Innere Medizin

Metformin rückt in den Hintergrund

Myokarditis nach Infekt – richtig schwierig wird es bei Profisportlern

Thrombophiliescreening – Wenn, dann richtig und nur bei therapeutischer Konsequenz

Bei Senioren mit Prostatakarzinom auf Anämie achten!

Update Innere Medizin

Springer Medizin

Abstract

Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten

Weitere Artikel der Ausgabe 8/2016

The Meaning of ‘Regular Partner’ in HIV Research Among Gay and Bisexual Men: Implications of an Australian Cross-Sectional Survey

Modeling a Theory-Based Approach to Examine the Influence of Neurocognitive Impairment on HIV Risk Reduction Behaviors Among Drug Users in Treatment

The Importance of the Family: A Longitudinal Study of the Predictors of Depression in HIV Patients in South Africa

Developing Measures of Pathways that May Link Macro Social/Structural Changes with HIV Epidemiology

A Systematic Review of Published Respondent-Driven Sampling Surveys Collecting Behavioral and Biologic Data

The Feasibility and Acceptability of Using Technology-Based Daily Diaries with HIV-Infected Young Men Who have Sex with Men: A Comparison of Internet and Voice Modalities

Leitlinien kompakt für die Innere Medizin

Neu im Fachgebiet Innere Medizin

Metformin rückt in den Hintergrund

Myokarditis nach Infekt – richtig schwierig wird es bei Profisportlern

Thrombophiliescreening – Wenn, dann richtig und nur bei therapeutischer Konsequenz

Bei Senioren mit Prostatakarzinom auf Anämie achten!

Update Innere Medizin