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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
Authors:H. Jonathon Rendina  Ana Ventuneac  Brian Mustanski  Christian Grov  Jeffrey T. Parsons
Affiliation:1.The Center for HIV/AIDS Educational Studies & Training (CHEST),New York,USA;2.Department of Medical Social Sciences,Northwestern University Feinberg School of Medicine,Chicago,USA;3.CUNY Graduate School of Public Health and Health Policy,New York,USA;4.Department of Psychology,Hunter College of the City University of New York (CUNY),New York,USA;5.Health Psychology and Clinical Sciences Doctoral Program,The Graduate Center of the City University of New York (CUNY),New York,USA
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.
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