Feasibility and utility of momentary sampling of sex events in young couples

REMIT: Development of a mHealth theory-based intervention to decrease heavy episodic drinking among college students

mHealth apps are an effective means of delivering health interventions, and the college-age population is particularly proficient at using apps. Informed by current theories of Ecological Momentary Interventions (EMI), Motivational Interviewing (MI), and the Transtheoretical Model (TTM) of Change, investigators have developed a self-monitoring app-Reductions through Ecological Momentary/Motivational Intervention/Transtheoretical (REMIT)-with the aim of reducing hazardous drinking among college students. The app was developed using the Integrate, Design, Assess, and Share (IDEAS) framework. This step-by-step process for developing digital behavior change interventions was conducted in five phases to: (1) understand the users, (2) determine target behavior, (3) base the intervention in behavioral theory; (4) create delivery strategies, and (5) develop the REMIT prototype. REMIT uses assessments (informed by EMI) and components of MI and TTM to guide administration of nine modules designed to engage users in reducing alcohol use and related problems. REMIT users self-monitor their alcohol consumption and develop strategies to change drinking behaviors using a range of easy-to-use features, such as the Virtual Coach, automated text messages, interactive gaming mechanisms (gamification), drink consumption tracking, and Blood Alcohol Concentration (BAC) calculators. mHealth interventions have been shown to reduce alcohol use among college students when they are applied in real-life, real-time contexts. REMIT is a theory-based app that incorporates user-friendly features to reduce hazardous drinking among college students. The next step is to conduct a pilot trial to test the efficacy of the app and enhance the REMIT prototype.

Negative affect as a moderator of the relationship between hookup motives and hookup consequences

OBJECTIVE

The current study examined the extent to which negative affect moderates the relationships between distinct hookup motives and hookup consequences.

PARTICIPANTS

Data were collected from 271 heavy-drinking undergraduate college students.

METHODS

Students from 3 US universities completed online surveys assessing hooking up-related motives, behaviors, and consequences.

RESULTS

The results showed that conformity motives to hookup and negative affect predicted hookup consequences. Furthermore, negative affect moderated the relationship between hooking up for relationship reasons and hookup consequences. Specifically, among students with high negative affect, hooking up to secure a long-term relationship was positively associated with hookup consequences whereas among students with low negative affect, securing a long-term relationship was negatively associated with hookup consequences.

CONCLUSIONS

These findings highlight the role that motives and negative affect play in the prediction of negative hookup consequences. Moreover, the findings from the current study have the potential to inform prevention efforts designed to reduce hookup consequences.

Momentary Desire for Sexual Intercourse and Momentary Emotional Intimacy Associated With Perceived Relationship Quality and Physical Intimacy in Heterosexual Emerging Adult Couples

Sexual desire and emotional intimacy are central to relationships, yet little is known about how these feelings vary within and between partners or relate to dyad functioning. We explored magnitude and stability of momentary sexual desire and emotional intimacy in relation to quality and functioning of heterosexual relationships. After reporting perceived relationship quality and physical intimacy enjoyment, members of 18 emerging adult heterosexual couples reported momentary partner-specific sexual desire and emotional intimacy several times a day for two weeks (2,224 reports). Mean and mean squared successive difference (MSSD) characterized magnitude and stability, respectively, of the momentary states. Regression models of relationship outcomes examined influence of the male versus female partner having greater or more stable desire and intimacy. Sexual desire and emotional intimacy magnitude and stability were associated with relationship quality and physical intimacy enjoyment differently for men versus women. Gender-specific differences between partners also predicted relationship outcomes. Men particularly perceived higher relationship quality and enjoyed physical intimacy more when they had higher and more stable sexual desire and their female partners had more stable emotional intimacy. Partner differences in momentary sexual desire and emotional intimacy may contribute to understanding quality and functioning of heterosexual relationships.

Real-time, contextual intervention using mobile technology to reduce marijuana use among youth: a pilot study

We evaluated the feasibility, acceptability, and potential efficacy of MOMENT, an intervention to reduce youth marijuana use that combines brief motivational enhancement therapy with mobile self-monitoring and responsive messaging. At baseline, primary care patients ages 15-24 who used marijuana frequently (at least 3 times per week) completed a recall assessment, then 1 week of mobile momentary and daily reports on use-related factors. For the intervention, youth participated in two motivational enhancement therapy sessions, during which they identified their top-3 social and emotional triggers for use and discussed healthy ways to manage them. They then completed two weeks of mobile reports. Upon reporting a top-3 trigger for use, desire to use, or recent use, they received a message supporting self-efficacy and prompting consideration of coping strategies. Generalized estimating equations examined changes in momentary-, daily-, and individual-level measures on 3-month recall and mobile assessments. Twenty-seven youth (M=19.2 years, 70% female) enrolled; there were 377-677 momentary and 50-106 daily reports per study phase. Participants reported reading the messages and finding them motivating, being comfortable with participation, and not experiencing the study as burdensome. Although proportion of momentary reports of being in a top-3 trigger context did not change (36%-43%), marijuana desire in a top-3 trigger context and marijuana use after top-3 trigger exposure decreased over the study (p<.0001 and p=.03, respectively). Daily- and individual-level measures showed similar, non-significant, improvements. The MOMENT intervention appears feasible, well-accepted, and potentially efficacious for youth who use marijuana frequently.

Methods for the design and analysis of relationship and partner effects on sexual health

Sexual intercourse involves two people and many aspects of sexual health are influenced by, if not dependent on, interpersonal processes. Yet, the majority of sexual health research involves the study of individuals. The collection and analysis of dyadic data present additional complexities compared to the study of individuals. The aim of this article was to describe methods for the study of dyadic processes related to sexual health. One-sided designs, including the PLM, involve a single individual reporting on the characteristics of multiple romantic or sexual relationships and the associations of these factors with sexual health outcomes are then estimated. This approach has been used to study how relationship factors, such as if the relationship is serious or casual, are associated with engagement in HIV risk behaviors. Such data can be collected cross-sectionally, longitudinally or through the use of diaries. Two-sided designs, including the actor-partner interdependence model, are used when data are obtained from both members of the dyad. The goal of such approaches is to disentangle intra- and inter-personal effects on outcomes (e.g., the ages of an individual and his partner may influence sexual frequency). In distinguishable datasets, there is some variable that allows the analyst to differentiate between partners within dyads, such as HIV status in a serodiscordant couple. When analyzing data from these dyads, effects can be assigned to specific types of partners. In exchangeable dyadic datasets, no variable is present that distinguishes between couple members across all dyads. Extensions of these approaches are described.