Published on in Vol 8, No 2 (2019): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11718, first published .
Rationale and Design of a Remote Web-Based Daily Diary Study Examining Sexual Minority Stress, Relationship Factors, and Alcohol Use in Same-Sex Female Couples Across the United States: Study Protocol of Project Relate

Rationale and Design of a Remote Web-Based Daily Diary Study Examining Sexual Minority Stress, Relationship Factors, and Alcohol Use in Same-Sex Female Couples Across the United States: Study Protocol of Project Relate

Rationale and Design of a Remote Web-Based Daily Diary Study Examining Sexual Minority Stress, Relationship Factors, and Alcohol Use in Same-Sex Female Couples Across the United States: Study Protocol of Project Relate

Protocol

1Department of Psychology, Old Dominion University, Norfolk, VA, United States

2Virginia Consortium Program in Clinical Psychology, Norfolk, VA, United States

Corresponding Author:

Kristin E Heron, PhD

Department of Psychology

Old Dominion University

250 Mills Godwin Building

Norfolk, VA, 23529

United States

Phone: 1 7576835214

Email: kheron@odu.edu


Background: The Healthy People 2020 initiative aims to reduce health disparities, including alcohol use, among sexual minority women (SMW; eg, lesbian, bisexual, queer, and pansexual). Compared with heterosexual women, SMW engage in more hazardous drinking and report more alcohol-related problems. Sexual minority stress (ie, the unique experiences associated with stigmatization and marginalization) has been associated with alcohol use among SMW. Among heterosexuals, relationship factors (eg, partner violence and drinking apart vs together) have also been associated with alcohol use. Negative affect has also been identified as a contributor to alcohol use. To date, most studies examining alcohol use among SMW have used cross-sectional or longitudinal designs.

Objective: Project Relate was designed to increase our understanding of alcohol use among young SMW who are at risk for alcohol problems. The primary objectives of this study are to identify daily factors, as well as potential person-level risk and protective factors, which may contribute to alcohol use in SMW. Secondary objectives include examining other physical and mental concerns in this sample (eg, other substance use, eating, physical activity, and stress).

Methods: Both partners of a female same-sex couple (aged 18-35 years; n=150 couples) are being enrolled in the study following preliminary screening by a market research firm that specializes in recruiting sexual minority individuals. Web-based surveys are being used to collect information about the primary constructs of interest (daily experiences of alcohol use, sexual minority stress, relationship interactions, and mood) as well as secondary measures of other physical and mental health constructs. Data are collected entirely remotely from women across the United States. Each member of eligible couples completes a baseline survey and then 14 days of daily surveys each morning. Data will be analyzed using multilevel structural equation modeling.

Results: To date, 208 women (ie, 104 couples) were successfully screened and enrolled into the study. In total, 164 women have completed the 14-day daily protocol. Compliance with completing the daily diaries has been excellent, with participants on average completing 92% of the daily diaries. Data collection will be completed in fall 2018, with results published as early as 2019 or 2020.

Conclusions: Project Relate is designed to increase our understanding of between- and within-person processes underlying hazardous drinking in understudied, at-risk SMW. The study includes a remote daily diary methodology to provide insight into variables that may be associated with daily hazardous alcohol use. Before the development of programs that address hazardous alcohol use among young SMW, there is a need for better understanding of individual and dyadic variables that contribute to risk in this population. The unique challenges of recruiting and enrolling SMW from across the United States in a daily diary study are discussed.

International Registered Report Identifier (IRRID): DERR1-10.2196/11718

JMIR Res Protoc 2019;8(2):e11718

doi:10.2196/11718

Keywords



Background

One of the goals of Healthy People 2020 [1], a science-based report issued by the US Office of Disease Prevention and Health Promotion that identifies national objectives for improving the health of Americans, is to specifically improve the health and well-being of lesbian, gay, bisexual, and transgender (LGBT) individuals. Compared with heterosexual women, sexual minority women (SMW; eg, lesbian, bisexual, queer, and pansexual) engage in more heavy drinking and have lower rates of abstention from drinking [2-4]. SMW also experience more negative alcohol-related consequences than heterosexual women, such as driving under the influence of alcohol, having unplanned sex, having suicidal thoughts during or after drinking, fighting or arguing with someone, and engaging in sexual harassment during/after drinking [5,6]. Despite evidence for health disparities between heterosexual women and SMW in alcohol use, much remains to be learned regarding why some SMW in particular are at risk. The goal of this study, Project Relate, was to increase the understanding of hazardous drinking among SMW who are in same-sex relationships using an entirely remote Web-based data collection procedure, including a daily diary component. This approach permits examination of research questions at multiple levels, allowing us to consider between-couple characteristics (ie, couple-level; answering the question: which couples drink more), between-person characteristics (ie, person-level; answering the question: who drinks more), and within-person processes (ie, daily level; answering the question: when does one drink more). The primary objective of this study is to examine the daily associations between hazardous alcohol use and sexual minority stress, affect, and relationship factors among young same-sex female couples. The theoretical framework and existing empirical evidence that contributed to the development of this study are described below.

Sexual Minority Stress and Alcohol Use

Members of minority groups experience unique stressors related to their stigmatized and marginalized social status in society. Stigmatization and marginalization based on sexual identity or orientation is known as sexual minority stress [7-9]. Specifically, Meyer’s [9] model of sexual minority stress involves experiences of harassment or discrimination related to sexual identity/sexual orientation (ie, heterosexism), the expectation of and vigilance toward these events, concealment of sexual identity, and the internalization of negative societal attitudes toward one’s sexual identity (eg, internalized heterosexism). Together, these experiences create additional stressors beyond those experienced by majority of individuals. There is ample evidence that sexual minority stress is associated with negative health behaviors, such as alcohol use, through emotion regulation and coping strategies [8,10-14] as well as through less perceived social support [12] and more social constraints and social isolation [13]. Although these studies provide important information regarding how minority stress is associated with negative affect and alcohol use at the between-person level, it is important to note that these studies used primarily cross sectional (ie, single assessment points) and traditional longitudinal designs (ie, using repeated assessments over weeks, months, or years). These types of designs limit our understanding of within-person processes by either studying processes as a between-person variable (ie, using cross-sectional designs) or by studying long-term within-person differences (ie, using traditional longitudinal designs). A handful of studies have used daily or momentary assessment of stress and alcohol use among sexual minorities. For example, in research of young men who have sex with men, alcohol use was greater on days when men indicated they were drinking to cope with stress [15] and on days when general stress was reported [16]. Furthermore, in a 9-day daily diary study, the interaction of structural stigma (eg, state policies that promote discrimination) and rejection sensitivity was associated with alcohol use among young men who have sex with men. Most relevant to this study was the finding that discrimination was associated with contemporaneous and prospective substance use in a group of sexual and gender minority individuals [17]. However, the question of how daily experiences of sexual minority stress and negative affect contribute to SMW’s hazardous drinking remains. In this study, we will test whether greater daily sexual minority stress is directly associated with more alcohol use and associated problems as well as examine indirect associations through negative affect.

Relationship Factors and Alcohol Use

In addition to the link between sexual minority stressors, negative affect, and alcohol use, it is important to consider the associations between relationship factors and alcohol use. A review of studies on heterosexual couples concluded that unpartnered individuals drank more compared with those in serious romantic relationships and that drinking is associated with poorer relationship quality as well as conflict and violence [18]. Among SMW, several studies have demonstrated associations between partner violence and alcohol use and related problems in samples of SMW. For example, in a study of lesbian couples who experienced intimate partner violence, approximately 64% of both batterers and victims report using alcohol or drugs before the violent incidents [19]. Alcohol use was also associated with SMW’s nonphysical domestic violence (eg, verbal threats and damage to property) [20]. Research also suggests that intimate partner violence among SMW is associated with hazardous alcohol use [21], which may stem from emotional distress [22] or sexual minority stressors [23].

Another important characteristic when studying relationships and hazardous alcohol use is the degree to which partners drink together versus separately. Among heterosexuals, drinking together has been associated with more intimacy and fewer negative partner behaviors than drinking apart [24]. Conversely, drinking apart is associated with more negative relationship events [24] as well as less satisfaction, more conflict, and marital dissolution [18,25]. Among lesbian women, when controlling for physical and psychological aggression, discrepant drinking (ie, differences in partners’ drinking quantity) is associated with poorer relationship adjustment [26]. Furthermore, in a longitudinal examination of discrepant drinking and intimate partner violence among lesbian partners, a cyclical pattern of alcohol use and violence occurred such that discrepant drinking predicted psychological aggression 6 months later, which in turn predicted later discrepant drinking. Physical violence also predicted subsequent discrepant drinking 6 months later [27]. Considering the small body of work connecting alcohol use to relationship variables in SMW, in this study, we will examine how instances of partners drinking together versus apart and discrepant drinking are associated with relationship functioning on the same day and subsequent days and in turn, how relationship functioning may then be associated with drinking on subsequent days.

Protective Factors

The impact of minority stress and negative relationship factors may be modifiable at the couple- or individual-level [9,28], but more information is needed to understand what factors may protect SMW from problematic alcohol use [29]. Therefore, the final aim of this research is to investigate societal-, couple-, and person-level characteristics that could be associated with daily experiences of sexual minority stress, relationship quality, and drinking or that may strengthen or weaken the associations among them. For example, connection to the sexual minority community, a stronger sexual minority identity, and social support may all protect against the deleterious effects of sexual minority stress and related negative mental and behavioral outcomes [30-32]. Similarly, being in a legally recognized relationship may also be a protective factor against sexual minority stress and negative health outcomes [33-35]. Although marriage between same-sex individuals is now legal in all states in the United States, other protections (eg, housing, employment, and health care benefits) are not federally mandated and, thus, vary by state. The lack of these state protections (ie, structural stigma) has been associated with health outcomes. For example, in a study published in 2014, sexual minority individuals who lived in states without protections for sexual minorities (eg, in housing and employment benefits) and that banned same sex marriage had a higher prevalence of psychiatric disorders than those who lived in states with such protections [36]. In this study, we will assess a variety of potential factors that may protect against hazardous drinking, including both factors specific to the person or couple (eg, connection to sexual minority community and being in a committed relationship), as well as structural factors (eg, living in a state with protections for people in same-sex relationships). Identification of potentially modifiable individual risk and protective factors can facilitate development of culturally tailored inventions to reduce hazardous drinking. Furthermore, identification of structural (societal) risk and protective factors may suggest important directions for advocacy efforts.

Study Objectives

The primary objective of Project Relate is to increase our understanding of hazardous drinking among SMW. Using a daily diary methodology, this project investigates the associations among sexual minority stress, affect, relationship factors, and alcohol use. The development of this study was guided by minority stress theories [7-9] that offer a way to understand the unique stressors that SMW experience related to their marginalized societal status. In addition, because relationship factors are important correlates of alcohol use among heterosexual couples [18], we consider how relationship characteristics are associated with alcohol use among young adult same-sex female couples. In addition, we also look at potential protective factors. Collecting information on sexual minority stressors, emotional functioning, relationship experiences, and alcohol use from both partners will allow us to assess the interactions among these variables as they enhance or reduce the quality of life of SMW. Extensive background information, including personality characteristics, social support, history of discrimination, and community context, will provide information on personal and contextual factors that moderate these associations. A secondary objective of Project Relate is to examine other physical and mental health concerns, including other substance use, eating, physical activity, and general mental health and well-being among SMW. The opportunity to examine daily-, individual-, and couple-level effects is a particular strength of the study methodology.


Project Overview

Project Relate is an ongoing daily diary study of same-sex female couples. Young adult SMW (aged 18-35 years) are the target sample for this study because in community samples they frequently endorse indicators of hazardous drinking [3]. Both partners of the romantic relationship are enrolled to capture information about the relationship from both members’ perspectives. Participants are recruited from across the United States, and data collection is occurring remotely via Web-based surveys. Both women in each couple complete a comprehensive baseline survey and then a brief daily survey each morning for the following 14 days. Each member of the couple begins the daily survey on the same day to ensure we have corresponding daily data for each couple. The Old Dominion University Institutional Review Board approved all study procedures (Project #839097).

Power Analysis

A power analysis to determine the sample size needed for planned analyses was conducted in 2 steps. First, a power analysis was conducted for traditional structural equation modeling using Monte Carlo simulation methods [37], focusing on powering the hardest effects to detect (the small indirect effects, beta=.10). Similar models were conducted incorporating a small-to-medium effect–moderating variable (beta=.20). Monte Carlo simulation methods indicated that for the effect size expected, a sample size of 200 cases yields sufficient power (0.808) to detect the relevant effects. This, however, assumes no correlation among residuals, which we know is not true in nested designs. To determine how to appropriately account for the correlated observations and identify the minimum number of participants needed for power of .8 in the multilevel design, a formula taking into account the expected intraclass correlation coefficients (ICCs), or degree of relatedness within couples, for key variables was used [38]. Assuming an average of 11 days of assessments (80% response rate to account for attrition) and 150 couples, an ICC up to approximately .70 would yield the necessary number of cases to maintain a power of .80. Previous daily diary alcohol research suggests we can expect to see lower ICCs, likely ranging from .4 to .7 [39], yielding more power. Therefore, recruiting 150 couples (N=300 people) is more than adequate to provide sufficient power.

Participant Selection

Recruiting large samples of sexual minorities is difficult to do in many localities, and therefore, we are recruiting participants from across the United States. We partnered with Community Marketing and Insights (CMI), a leading market research firm specializing in Web-based research with the LGBT community. CMI maintains a proprietary research-only panel of over 90,000 individuals who identify as sexual minorities and regularly take part in market research and health research (although psychological research studies are less common). CMI recruits participants to take part in this study from their existing panel and potential new panel members who may be interested in participating in research studies. CMI is consistently recruiting new research panel members through LGBT print, digital, and event outreach activities as well as LGBT-specific outreach on social media sites (eg, Facebook, Craigslist, and sexual minority-specific social media).

To be eligible for the study, both partners have to meet the following eligibility criteria: (1) aged 18 to 35 years, (2) self-identify as a cisgender woman (meaning self-identify as a woman and was assigned female at birth, ie, she is not transgender), (3) currently in a romantic relationship with a woman for at least 3 months, (4) see partner in person at least once per week, and (5) able to respond to daily surveys between 6 am and 12 pm for 2 weeks. In addition to these 5 criteria that must be met by all participants, at least one person in the couple must also meet the following 3 criteria: (6) only or mostly attracted to women, (7) drank alcohol at least 3 days in the previous 2 weeks, (8) drank 4 or more standard alcoholic drinks in 1 sitting at least once in the previous 2 weeks (ie, met criteria for a binge drinking episode).

These inclusion criteria were developed for several reasons. First, although we recognize that people with other gender identities (eg, transgender and nonbinary gender) and sexual identities (eg, bisexual women not in a relationship with a woman) are also at risk for experiencing both sexual minority stress and hazardous alcohol use, individuals with different gender and sexual identities likely experience stressors that differ from one another [29]. In other words, a transgender and cisgender woman’s or a lesbian and bisexual woman’s daily experiences might differ from each other. Thus, this study focuses solely on individuals who identify as cisgender female and are in a relationship with a woman. Second, we require the couples to see each other in-person at least once a week to avoid potential confounds related to being in a long-distance relationship. Third, although 1 participant has to report only or mostly attracted to women, her partner can describe her attraction in other ways (eg, attracted to men and women equally); this criterion was used both to obtain a sample size large enough to test study aims and to have some variability in attraction (eg, attracted to men and women) and identity (eg, lesbian, bisexual, and queer) that can be explored statistically. Finally, the alcohol inclusion criteria for 1 participant is used to identify participants belonging to the desired at-risk alcohol use population of interest and to increase the likelihood of enrolling couples in which at least 1 partner drinks with some frequency, resulting in occurrence of drinking during the 14-day daily diary reporting period.

Study Procedures

Recruitment

CMI initiates the recruitment process by contacting potential participants via email and providing them with a link to a Web-based screening survey. The potential participant is also asked if she thinks her partner would be interested in participating, and if so, to provide her email address. CMI then screens her partner for interest and eligibility, and once potentially eligible couples are identified, CMI provides the researchers with the email addresses of potential participants and their partners. Upon receiving contact information for potentially eligible couples, the researchers conduct a second set of screening assessments (using the criteria described above) to ensure eligibility of the couple.

Study Description and Informed Consent

Once eligibility and interest are verified for both people in the couple, they are emailed separately with introductory information about the study. Given that data collection is occurring entirely remotely, and daily assessment procedures are likely new to these participants, we developed detailed written and video materials describing the study purpose, procedures, risks, and benefits. The professionally developed videos consist of 5 brief (1-3 min) videos of the study investigators and research assistants describing the study. Corresponding written materials were also developed. Given that developing these videos took additional time and resources above what was required to develop the written materials, we built in a design feature to assess the video utility. Specifically, couples were randomized in blocks of 6 to 1 of 2 introductory information groups: (1) videos plus written materials (video+written) or (2) written materials only (written-only). Couples are randomized (instead of individual participants) to limit contamination between partners. Those in the video+written group receive a Qualtrics survey Web link that guides participants through the series of 5 videos explaining the purpose and procedures of the study; the written material is also available below the video. Couples assigned to the written-only group receive a similar Qualtrics survey link where they review the same information presented in the videos, but in text form only. The written materials provided for participants can be found in Multimedia Appendix 1. The length of time participants spend reviewing the materials (including time spent on each individual video and corresponding written text) is automatically tracked. Immediately after reviewing the study information, participants are presented with the informed consent document. If participants do not consent within 2 to 3 days of the initial email, they are sent 2 additional email reminders (approximately 2-3 days apart) regarding the study and consent procedures. Both women in the couple must provide consent before either can begin the study.

Baseline Survey

After both members of the couple provide consent, the couple is enrolled in the study. At that time, each participant receives an email via Qualtrics with an individual link to her baseline survey. The survey takes approximately 30 min to complete. In the email, participants are asked to complete the baseline survey within 3 days. Similar to the consent procedures, if participants do not complete the baseline survey within 2 to 3 days, 2 email reminders are sent approximately 2 to 3 days apart. Both members of the couple must complete the baseline survey to move on to the daily survey. If only 1 partner completes the baseline survey and her partner does not, she is thanked, compensated for completing the baseline survey, and informed that her participation is complete (without being told her partner did not complete the baseline survey).

Daily Surveys

Once both members of the couple complete the baseline survey, they are notified separately via email of the starting date of the daily survey (which ideally occurs the day after they complete the baseline survey). Each person in the couple is sent separate automated emails through the Qualtrics survey system, with an individual link to their brief daily survey each morning at 6:00 am for the following 14 days. We selected a 14-day assessment period based on research demonstrating daily sexual minority stressors [40,41] and alcohol use [17,42] occur over this length of time as well as our screening criteria requiring binge drinking (in at least 1 partner) during the previous 2 weeks. Thus, using a 14-day daily assessment period should appropriately balance both participants’ burdens while ensuring the study is of sufficient duration to capture the experiences and behaviors of interest in daily life. Each daily survey takes approximately 5 min to complete. Participants are instructed to complete the survey independently from their partner using their own personal computer, tablet, or mobile device by 12:00 pm each day. The participants receive a reminder email after 2 consecutive days of missing or incomplete surveys.

Consistent with other daily diary studies of alcohol use [43,44], we elected to have participants complete surveys each morning (about the previous day) instead of at the end of the day (about that day) because our primary research questions of interest were regarding alcohol use, and end of day surveys could present 3 concerns. First, we were concerned we could miss reports of drinking if participants elected to complete the survey in the evening before drinking (or before they finished drinking). Second, some of our questions were regarding alcohol use consequences, and some consequences (eg, being hungover) may not emerge until many hours after drinking stops. Third, on days when participants were drinking, if we asked them to complete a survey in the evening, we were concerned they could be intoxicated while completing the daily survey. We realize that by asking participants to report on their previous day each morning (vs current day each evening) requires some additional retrospection; however, given the focus on alcohol use in this study, any concerns regarding additional retrospective bias were outweighed by the alcohol-related concerns noted above.

End of Study Survey

On the day after the final daily survey, participants receive an email with a link to take a survey specifically designed for this study about their reactions as a study participant. Additional details regarding this measure can be found in the Measures section.

Compensation

Participants and their partners each receive US $25 for completing the baseline survey and US $3 each for each daily survey, with a US $10 bonus for completing at least 80% of the daily surveys (ie, more than 11 days). Thus, each participant can earn a maximum of US $77 via their choice of check or gift card.

Measures

All measures included in the baseline survey are described in Table 1. The measures are organized by those designed to test the primary study aims described above and secondary measures that will supplement testing of the primary aims. For each measure, we provide a brief description of the construct assessed. In addition, several modifications to measures were made and are worth noting. First, most measures in the baseline survey referencing a specific time frame were adapted to 3 months to be consistent throughout the survey and ensure we could examine these constructs during similar time periods. The time frames of the following measures were not adapted: the Conflict Tactics Scale [45], the Psychological Maltreatment of Women Inventory [46], the physical health questions Short Form-20 [47], the Daily Heterosexist Experience Questionnaire [48], and the Modified Eating Disorder Examination Questionnaire [49,50]. These measures were not changed to a 3-month time frame because their original time frames (eg, last year and last month) were more appropriate for addressing the study aims. Second, changes were made to several of the measures to be appropriate for same-sex female couples. These adaptions included changing male or gender-neutral pronouns to female pronouns and modifying sexual behavior items that require male partners. Finally, because of the length of the baseline survey, attention check items were added to ensure that participants are paying attention and selecting their answers carefully. Attention check items are included as items in some of the longer measures as well as stand-alone questions. Rationale for inclusion of these items is discussed in more detail in the Discussion section below.

Table 1. Baseline measures.
Construct and descriptionMeasure name
Demographic information

PersonAge, ethnicity, race, sexual orientation (identity, attraction, and behavior), gender, height, and weightDeveloped for this study

RelationshipStatus, length, and living situationDeveloped for this study

ContextEmployment status, education, income, and residenceDeveloped for this study
Primary measures

Relationship functioningPsychological and physical violence toward or from a partnerConflict Tactics Scale (CTS2)—physical assault and sexual coercion subscales (modified to be appropriate for same-sex relationships) [45]


Maltreatment in an intimate relationship (emotional/verbal and domination/isolation)Psychological Maltreatment of Women Inventory-short version [46]


Satisfaction with the relationship and perceptions about partners’ satisfaction, commitment, and security with the relationshipNo scale name [51]


Report of partners’ behavior (hostile, jealous, and emotionally supportive)Reports of partners’ behavior [51]


Commitment to romantic relationshipCommitment subscale from the Investment Model [52]


Feelings of jealousy toward romantic partnerMultidimensional Jealousy Scale- cognitive subscale [53]


Anxious expectations of potential rejection from others, generallyAdult Rejection Sensitivity Questionnaire [54]

Alcohol useIdentification of at-risk drinkers (hazardous alcohol use, dependence symptoms, and harmful alcohol use)Alcohol Use Disorders Identification Test [55]


Typical weekly alcohol consumptionDaily Drinking Questionnaire [56]


Importance of certain reasons in someone’s decision not to drinkReasons for Not Drinking [57]


Alcohol consequences experienced by young adult drinkersBrief Young Adult Alcohol Consequences Questionnaire [58]


Drinking behavior related to partner interactionPartner drinking questions [59]


Drinking motives (social, coping, enhancement, and conformity)Drinking Motives Questionnaire [60]

Sexual minority stressSexual minority identity and psychosocial functioningLesbian, Gay, Bisexual Identity Scale [61]


Openness about sexual identity and orientationSingle item openness question [62]


Anxious expectations of potential rejection from others as a result of sexual minority identitySexual Minority Women Rejection Sensitivity [63]


Experiences of sexual stigmaDaily Heterosexist Experiences Questionnaire—all subscales except parenting and HIV/AIDS [48]

Social support and resilienceSupport from family, friends, and significant othersMultidimensional Scale of Perceived Social Support [64]


Ability to recover from stress or “bounce back”Brief Resilience Scale [65]
Secondary measures

Physical healthGeneral health, bodily pain, and activity limitations20-Item Short Form Survey Instrument [47]

Mental healthAggression (physical aggression, verbal aggression, anger, and hostility)Buss-Perry Aggression Questionnaire Short Form [66]


Psychological distress and well-being (anxiety, depression, behavioral control, and positive affect)Mental Health Inventory [67]


Suicidal behaviors and thoughtsInventory of Depression and Anxiety Symptoms- Suicidality Subscale [68]

FamilyExposure to interparental violenceItems adapted from CTS2 [45]

Drug useHistory of marijuana use and form of ingestionMarijuana use [69]

Disordered eatingEating pathology (body dissatisfaction, binge eating, cognitive restraint, purging, restricting, and excessive exercise)Eating Pathology Symptoms Inventory [70,71]


Diagnostic criteria for eating disorder behaviorsModified Eating Disorder Examination Questionnaire [49,50]

The daily survey measures are described in Table 2 and are similarly organized by primary and secondary constructs of interest. Most of the primary and secondary measures included in the daily survey were adapted from existing daily diary or ecological momentary assessment (EMA) studies or were developed for this study to assess daily behaviors, particularly drinking behaviors and sexual minority stressors. Of note, when adapting items from existing scales, for example, to assess daily sexual minority stressors, we selected and edited items to be appropriate for a daily time frame (ie, would vary day-to-day). To balance the survey length on days when a participant did not drink or interact with her partner, filler items regarding media use, time management, and general social interactions were developed and are administered on nondrinking and noninteraction days. Finally, the format of the survey was optimized for mobile delivery. For example, visual analog slider scales are used instead of matrix tables in some cases so that all response options are visible to the participant when using a smaller screen (eg, on a smartphone). Additional details regarding the daily survey measures can be found in Table 2, and all daily survey items can be found in Multimedia Appendix 2.

The end-of-study survey contains questions concerning whether the participant believed her experiences were captured by the questions asked (eg, “While answering questions related to your gender and/or sexual identity, did you think that the questions you answered were inclusive of the way you describe yourself?”) as well as what was her preferred method of accessing the survey materials (ie, computer, tablet, or smartphone). Participants are also asked about their motivation to improve their health and whether they would be comfortable using mobile technology to monitor their physical and mental health. Survey items are included in Multimedia Appendix 3. The feedback gathered from the end-of-study survey will be used to gauge the participant experience in this study as well as provide an opportunity to improve future studies and survey materials.

Data Analysis Plan

The data being collected in this study are inherently multilevel in nature, with days (level 1) nested within individuals (level 2) nested within couples (level 3). In addition, our research questions incorporate aspects of mediation and moderated mediation. As such, we will utilize an approach that combines multilevel modeling (MLM) [86,87] with mediation pathways available through structural equation modeling. This combined approach, multilevel structural equation modeling (MSEM) [88], allows for bootstrapping of the models, which can accommodate non-normal underlying distributions, particularly relevant for alcohol use outcomes and indirect effects [89,90] such as those incorporated in our proposed models. Regarding missing data, like MLM, MSEM is robust to missing data (eg, skipped observations). In addition, analyses will be conducted in Mplus [91] using maximum likelihood estimation, which allows for the estimation of parameters using all available cases (ie, no listwise deletion for missing variables within a time point). Participants with complete data will be compared with participants with missing data to identify potential attrition biases, and significant predictors will be included as covariates in all subsequent analyses. The MSEM approach allows for the simultaneous examination of level 1 (daily variation), level 2 (person-specific levels), and level 3 (couple factor) associations among variables, including moderating effects that strengthen or weaken those associations.

Table 2. Daily measures.
ConstructDescriptionMeasure name and/or reference
Primary measures

Daily relationship functioningRelationship quality and satisfactionItems adapted from the Daily Positive Relationship Quality Composite [72,73]


Intimacy and conflictItems adapted [74]


Positive and negative partner behaviorsItems adapted from the Interpersonal Qualities Scale [75]


Partner aggressionItems adapted [76]

Daily alcohol useQuantity, duration, interactions, and locationItems developed for the study to assess daily drinking behaviors


Daily alcohol consequencesItems adapted from the Brief Young Adult Consequences Questionnaire for daily administration [77]


Drinking motives (social, coping, enhancement, and conformity)Items adapted from the Drinking Motives Questionnaire—social, enhancement, and conformity were combined to a single item per factor [60]


Nondrinking questionsItems developed for the study to balance drinking questions


Daily-level reasons for not drinkingItems adapted for the daily level from the Reasons for Not Drinking [78]


Drinking intentionsItem developed for the study to assess drinking likelihood in the next 24 hours


Partner drinkingItems developed for the study to assess partner drinking

Daily sexual minority stressorsDaily sexual minority stressorsLesbian Women’s Daily Sexual Minority Stressors Scale [41]


Sexual minority discriminationItems adapted from the Heterosexist Harassment, Rejection, and Discrimination Scale [79]


Sexual identity concealmentItems adapted from the Nebraska Outness Scale [80]

AffectPositive and negative affectItems adapted from different versions of the Positive and Negative Affect Schedule
Secondary measures

Drug useSmoking and marijuana useItems adapted [69]

Eating and body imageDisordered eatingItems adapted from the Eating Attitudes Test [81] and the Eating Disorder Examination Questionnaire [49,50]


Body dissatisfactionItems developed to assess current satisfaction with body

General stress and copingStressful or unpleasant experiencesItems adapted from the Daily Inventory of Stressful Events [82]

Physical activitySitting, walking, moderate activities, and vigorous activitiesItems adapted from the International Physical Activity Questionnaire [83]

About the surveyLocation of survey completion, type of device used, and perceived privacyItems developed for the study to improve future research
Filler items

General social interactionsImportance and pleasantness of social interactionsItems developed for the study to balance questions about partner interactions


Positive social exchangesItems adapted from the Daily Social Exchanges Checklist [84]

Media useTelevision, internet, and social media useItems developed for the study to balance drinking questions

Time managementShort-range planning and time attitudesItems adapted from the Time-Management Questionnaire [85]

To date, 228 women (114 couples) have been successfully screened and been identified as eligible to participate in the study. Of these eligible women, 208 women (104 couples) have consented to participate and, thus, have been enrolled in the study. During the consent process, to date we have had to send reminder emails about consenting to 26% of women (59/228); 49 of these 59 women (83%) completed the consent within several days of the email reminder. A total of 6 participants discontinued participation after beginning the study but before the 14-day daily diary surveys. Of the remaining 202 participants, 44 are actively completing the daily surveys, and 164 have completed the study. Of those participants who have completed the study, compliance with the daily diaries has been excellent; on average, participants have completed 92% of the surveys (or 13 of 14 days). In reviewing the distribution of compliance rates by participants, nearly all participants (97.6%, 160/164) have completed at least half of the daily surveys. Data collection and enrollment is ongoing and expected to conclude in fall 2018.


Drawing from the literatures on sexual minority specific processes (eg, sexual minority stress) and general processes (negative affect and relationship factors), the primary objective of Project Relate is to increase our understanding of between- and within-person processes underlying hazardous drinking in the understudied, at-risk population of SMW. A daily diary methodology is being used to gain insight into the affective, behavioral, and relationship experiences of female same-sex couples working toward the goal of reducing health disparities and improving the health of SMW.

Methodological Challenges and Considerations

Recruitment of couples into research endeavors is always a challenge, and recruiting same-sex couples creates additional challenges. Consequently, we devoted substantial effort to develop and refine processes for participant recruitment and retention. Below, we discuss the challenges faced when designing and implementing Project Relate.

Participant Recruitment Decisions and Issues

Several challenges emerged when designing and implementing this study regarding identifying and enrolling participants. First, working with a market research firm to recruit has advantages but also presents challenges. CMI has a large SMW panel who regularly complete Web-based surveys and access to other recruitment resources. The CMI employees are knowledgeable about best practices for Web-based recruitment and survey completion and contribute important ideas to assist with recruitment and retention of participants (eg, length of survey, compensation, and phrasing). At the same time, because CMI does relatively less social science research (compared with traditional market research for products), it was necessary to figure out how to “speak the same language” so that we could be faithful to the best social science practices (eg, measurement fidelity and human subjects’ protections). For this study, CMI is recruiting both through their proprietary panel of individuals who identify as LGBT and through digital and event outreach activities, including on social media sites such as Facebook, Craigslist, and sexual minority-specific sites. By using multiple recruitment sources, it is our goal to recruit a sample of SMW who are diverse in terms of their race/ethnicity and in other ways (eg, education and socioeconomic status). However, it is already a challenge to recruit young sexual minorities for research studies, and therefore, we recognize that to recruit a sufficient sample, it is possible that our sample will be limited in demographic characteristics.

Second, early in the study recruitment process, we observed a trend in the way in which young SMW label their sexual identity, which seemed to suggest that they were not identifying as lesbian as frequently as we had expected. In consultation with CMI, we learned that younger SMW whose attraction and behavior are consistent with the traditional definition of the “lesbian” label (ie, attracted to women or romantically involved with women) are either choosing to identify in other ways (eg, queer or pansexual) or are resisting labels altogether. Our initial planned inclusion criteria required at least 1 partner to identify as lesbian, but as a result of this consultation with CMI as well as internal discussions among our investigators, within the first month of recruitment, we changed this inclusionary criterion to “only or mostly attracted to women” described in the Methods section above. As researchers, our drive toward internal validity encourages us to recruit a homogeneous sample of 1 type of SMW (ie, lesbian women) that we can describe clearly; however, this group may not accurately represent the larger population of SMW, which is quite heterogeneous. This issue of how to appropriately define and describe sexual minority individuals is not new [92-94] and will likely continue to be a challenge for researchers as labels evolve over time and is something we will continue to attend to when designing future studies in this line of work.

Third, given that we are recruiting couples, we were very intentional in our protocol design regarding how and when we contacted participants to ensure privacy, confidentiality, and data fidelity. For example, when communicating with participants, we always contact individuals, never both people in the couple together (eg, in the same email). It is important that no participant feels coerced to participate because of her partner’s interest in the project. However, given this is a study of couples, both partners have to consent and complete the baseline survey before continuing in the study and must begin the daily diaries on the same day. In the rare instances when 1 partner does not wish to continue, we thank the other partner for her participation and compensate her for the portions of the study she completed but do not mention her partner’s noncompliance. In addition, to try to ensure we are getting independent responses from each participant, in all of our enrollment materials, we instructed participants not to complete the surveys together; we send them individualized survey links daily, and at the end of the daily survey, we enquire about the level of privacy each individual had when completing the survey. These privacy and data fidelity challenges are not unique to studies with sexual minorities but are experienced by researchers studying couples, and the concerns about collecting independent reports are likely more apparent in daily diary or EMA studies because of the frequent, repeated assessments in daily life.

Informational and Training Videos

To our knowledge, this study is one of the first to recruit same-sex couples for a completely remote Web-based daily diary collections, and thus, we decided to develop a series of videos to explain the research. To evaluate the efficacy of these videos, couples were randomized to either a written-only or a video+written group to examine whether the videos improve recruitment, attrition, and/or compliance. The videos are considered part of the informed consent process and, thus, are presented before the consent form, allowing us to examine whether consent rates, study attrition, and compliance with the study protocol differ by group. Evaluating the added utility (or lack thereof) of the video instructions for participants in this way can help to inform the design of future daily diary or EMA studies that use remote data collection methods with young adult participants.

Inclusion of Attention Check Items

As this project relies completely on remote Web-based data collection, we were concerned that for the longer baseline survey, participants could begin to respond randomly, without fully reading each question. To attempt to identify if this is occurring, in the baseline survey, we included a series of attention check items, sometimes called “instructional manipulation checks” [95]. These are items embedded in the larger survey with instructions to select a particular answer (eg, “Please choose ‘Frequently’”) or questions that have factual answers (eg, “Which of the following is the largest number?”) and are similar in format to other items in the survey. The attention checks are only included in the baseline survey, given its length (approximately 30 min). The daily surveys are much shorter (approximately 5 min), so we are less concerned about maintaining attention, and instead worried that including attention check items every day could be excessively burdensome and irritating for participants.

Research shows that including participants who fail attention checks leads to reduced power to detect study aims [95]. Although some have questioned if the inclusion of attention checks can adversely affect scale validity, recent studies have shown that they do not [96,97], and in fact, the inclusion of attention checks can improve performance on subsequent survey items [98]. For this study, we are not interested in eliminating participants who are inattentive but rather helping them to become attentive. Thus, we introduce to participants in the survey instructions (and videos) that these attention checks are embedded to help maintain their attention. Moreover, after failing an attention check, the survey automatically provides feedback stating that we detected the participant was not fully reading the instructions and asking her to respond again. This feedback is repeated as necessary until she answers correctly. This type of real-time feedback on attention checks has been shown to improve subsequent performance [95].

Future Research Areas

EMA studies of health behaviors [99], as well as EMA studies conducted in the context of couples or families (eg, in which more than one person in a couple/family reports EMA data) [100], are rapidly increasing in popularity because they can examine more nuanced associations that consider individual, dyadic, and contextual variables that may influence behavior within people and couples over time. Despite growing interest in daily health factors and related stressors such as minority stress and alcohol use, research on daily experiences of sexual minority individuals lags far behind [101]. There are 2 important challenges that researchers are facing when conducting this work. First, as has been discussed at length elsewhere with respect to health behavior theories [102], existing theories may need to be refined or redeveloped to be able to guide our understanding of within-person processes that occur over relatively short time frames (eg, minutes, days, and weeks). Minority stress theories, including those that guided the development of Project Relate [8,9] at times, suggest predictions that involve within-person processes that may occur over short time frames but have largely been tested using cross-sectional designs (testing between-person processes) or traditional longitudinal designs (testing longer-term within-person processes). Project Relate is designed such that it will be able to test aspects of minority stress theories and presents an opportunity to extend and refine these theories to further the understanding of within-person processes in daily life.

A second challenge we encountered when designing Project Relate is the relative lack of well-established, validated measures that are appropriate for daily assessments. In Table 2, we provide a description of where we adapted measures from, based on either previous daily diary research with heterosexual couples or from existing retrospective measures. Importantly for Project Relate, we were unable to identify a measure of sexual minority stress that was appropriate for daily administration and, thus, created a daily sexual minority stressor measure [41] to use in this study. The lack of validated measures that are appropriate for daily or EMA studies highlights the importance for future work in this area to create new measures.

At present, the ability to provide education, mental health counseling, and interventions that are optimally effective for SMW is limited by our lack of understanding of key variables to incorporate in these efforts. Furthermore, the limited data available about relationship factors and alcohol use among SMW are typically derived from 1 respondent who provides information about herself and her partner. To address this limitation, our approach requiring both partners to participate is generating higher quality data on both partners’ affective, behavioral, and relationship experiences. In addition, we are including other variables both specific to SMW and heterosexual couples that may impact hazardous alcohol use. We believe it is critical to consider how couple-level dynamics/variables may impact hazardous alcohol use and related issues. In addition, we believe that understanding both daily and between-subjects’ mechanisms that may increase risk for hazardous alcohol is critical as is identifying protective factors that may attenuate this risk. By testing an empirically informed model that articulates probable within- and between-person factors and relationship variables that increase hazardous alcohol use, we believe this work will provide a necessary intermediary step toward informing culturally tailored prevention and intervention studies for SMW and contribute to a goal of the Healthy People 2020 initiative to improve the health and well-being of SMW.

Acknowledgments

Research reported in this publication was supported by the National Institute on Alcohol Abuse and Alcoholism of the National Institutes of Health under award number R15AA20424, and author ALB was supported by NIAAA award number K01 AA023849. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

Conflicts of Interest

None declared.

Multimedia Appendix 1

Project Relate study introduction information for participants.

PDF File (Adobe PDF File), 185KB

Multimedia Appendix 2

Daily diary survey items.

PDF File (Adobe PDF File), 174KB

Multimedia Appendix 3

End of study survey items.

PDF File (Adobe PDF File), 32KB

  1. Office of Disease Prevention and Health Promotion. Lesbian, Gay, Bisexual and Transgender Health   URL: https:/​/www.​healthypeople.gov/​2020/​topics-objectives/​topic/​lesbian-gay-bisexual-and-transgender-health?topicid=25 [accessed 2018-10-18] [WebCite Cache]
  2. Green KE, Feinstein BA. Substance use in lesbian, gay, and bisexual populations: an update on empirical research and implications for treatment. Psychol Addict Behav 2012 Jun;26(2):265-278 [FREE Full text] [CrossRef] [Medline]
  3. Hughes TL, Wilsnack SC, Szalacha LA, Johnson T, Bostwick WB, Seymour R, et al. Age and racial/ethnic differences in drinking and drinking-related problems in a community sample of lesbians. J Stud Alcohol 2006 Jul;67(4):579-590. [CrossRef] [Medline]
  4. McCabe SE, Hughes TL, Bostwick WB, West BT, Boyd CJ. Sexual orientation, substance use behaviors and substance dependence in the United States. Addiction 2009 Aug;104(8):1333-1345 [FREE Full text] [CrossRef] [Medline]
  5. Drabble L, Midanik LT, Trocki K. Reports of alcohol consumption and alcohol-related problems among homosexual, bisexual and heterosexual respondents: results from the 2000 National Alcohol Survey. J Stud Alcohol 2005 Jan;66(1):111-120. [CrossRef] [Medline]
  6. McCabe SE, Boyd C, Hughes T, d'Arcy H. Sexual identity and substance use among undergraduate students. Subst Abus 2003 Jun;24(2):77-91. [CrossRef] [Medline]
  7. Brooks V. Minority Stress and Lesbian Women. Lexington, MA: Lexington Books; 1981.
  8. Hatzenbuehler ML. How does sexual minority stigma "get under the skin"? A psychological mediation framework. Psychol Bull 2009 Sep;135(5):707-730 [FREE Full text] [CrossRef] [Medline]
  9. Meyer IH. Prejudice, social stress, and mental health in lesbian, gay, and bisexual populations: conceptual issues and research evidence. Psychol Bull 2003 Sep;129(5):674-697 [FREE Full text] [CrossRef] [Medline]
  10. Calhoun D, Mason T, Lewis R. Sexual minority stress and alcohol use: Drinking to cope as a response to stress. 2014 Presented at: 122nd American Psychological Association Annual Convention; August 7-10, 2014; Washington, DC.
  11. Hatzenbuehler ML, Corbin WR, Fromme K. Discrimination and alcohol-related problems among college students: a prospective examination of mediating effects. Drug Alcohol Depend 2011 Jun 01;115(3):213-220 [FREE Full text] [CrossRef] [Medline]
  12. Lehavot K, Simoni JM. The impact of minority stress on mental health and substance use among sexual minority women. J Consult Clin Psychol 2011 Apr;79(2):159-170 [FREE Full text] [CrossRef] [Medline]
  13. Lewis RJ, Winstead BA, Mason TB, Lau-Barraco C. Social factors linking stigma-related stress with alcohol use among lesbians. J Soc Issues 2017 Sep;73(3):545-562. [CrossRef] [Medline]
  14. Pascoe EA, Smart Richman L. Perceived discrimination and health: a meta-analytic review. Psychol Bull 2009 Jul;135(4):531-554 [FREE Full text] [CrossRef] [Medline]
  15. Feinstein BA, Newcomb ME. Event-level associations among drinking motives, alcohol consumption, and condomless anal sex in a sample of young men who have sex with men. AIDS Behav 2017 Jul;21(7):1904-1913 [FREE Full text] [CrossRef] [Medline]
  16. Mereish EH, Kuerbis A, Morgenstern J. A daily diary study of stressful and positive events, alcohol use, and addiction severity among heavy drinking sexual minority men. Drug Alcohol Depend 2018 Dec 01;187:149-154. [CrossRef] [Medline]
  17. Livingston NA, Flentje A, Heck NC, Szalda-Petree A, Cochran BN. Ecological momentary assessment of daily discrimination experiences and nicotine, alcohol, and drug use among sexual and gender minority individuals. J Consult Clin Psychol 2017 Dec;85(12):1131-1143 [FREE Full text] [CrossRef] [Medline]
  18. Fischer JL, Wiersma JD. Romantic relationships and alcohol use. Curr Drug Abuse Rev 2012 Jun;5(2):98-116. [CrossRef] [Medline]
  19. Schilit R, Lie GY, Montagne M. Substance use as a correlate of violence in intimate lesbian relationships. J Homosex 1990 Aug 23;19(3):51-66. [CrossRef]
  20. Bimbi DS, Palmadessa NA, Parsons JT. Substance use and domestic violence among urban gays, lesbians and bisexuals. J LGBT Health Res 2007 Oct;3(2):1-7. [CrossRef] [Medline]
  21. Lewis RJ, Milletich RJ, Kelley ML, Woody A. Minority stress, substance use, and intimate partner violence among sexual minority women. Aggress Violent Behav 2012 May;17(3):247-256. [CrossRef]
  22. Lewis RJ, Padilla MA, Milletich RJ, Kelley ML, Winstead BA, Lau-Barraco C, et al. Emotional distress, alcohol use, and bidirectional partner violence among lesbian women. Violence Against Women 2015 Aug;21(8):917-938 [FREE Full text] [CrossRef] [Medline]
  23. Lewis RJ, Mason TB, Winstead BA, Kelley ML. Empirical investigation of a model of sexual minority specific and general risk factors for intimate partner violence among lesbian women. Psychol Violence 2017 Jan;7(1):110-119 [FREE Full text] [CrossRef] [Medline]
  24. Levitt A, Cooper ML. Daily alcohol use and romantic relationship functioning: evidence of bidirectional, gender-, and context-specific effects. Pers Soc Psychol Bull 2010 Dec;36(12):1706-1722. [CrossRef] [Medline]
  25. Homish GG, Leonard KE. The drinking partnership and marital satisfaction: the longitudinal influence of discrepant drinking. J Consult Clin Psychol 2007 Feb;75(1):43-51 [FREE Full text] [CrossRef] [Medline]
  26. Kelley ML, Lewis RJ, Mason TB. Discrepant alcohol use, intimate partner violence, and relationship adjustment among lesbian women and their relationship partners. J Fam Violence 2015 Nov 01;30(8):977-986 [FREE Full text] [CrossRef] [Medline]
  27. Lewis RJ, Winstead BA, Braitman AL, Hitson P. Discrepant drinking and partner violence perpetration over time in lesbians' relationships. Violence Against Women 2018 Dec;24(10):1149-1165. [CrossRef] [Medline]
  28. Cohen S, Wills TA. Stress, social support, and the buffering hypothesis. Psychol Bull 1985;98(2):310-357. [CrossRef]
  29. Institute of Medicine, Board on the Health of Select Populations, Gay, Bisexual, and Transgender Health Issues and Research Gaps and Opportunities Committee on Lesbian. The Health of Lesbian, Gay, Bisexual, and Transgender People. Washington, DC: National Academies Press; 2011.
  30. Doty ND, Willoughby BL, Lindahl KM, Malik NM. Sexuality related social support among lesbian, gay, and bisexual youth. J Youth Adolesc 2010 Oct;39(10):1134-1147. [CrossRef] [Medline]
  31. Fingerhut AW, Peplau LA, Gable SL. Identity, minority stress and psychological well-being among gay men and lesbians. Psychol Sex 2010 Jun 03;1(2):101-114. [CrossRef]
  32. Herek GM, Garnets LD. Sexual orientation and mental health. Annu Rev Clin Psychol 2007 Apr;3:353-375. [CrossRef] [Medline]
  33. Riggle ED, Rostosky SS, Horne SG. Psychological distress, well-being, and legal recognition in same-sex couple relationships. J Fam Psychol 2010 Feb;24(1):82-86. [CrossRef] [Medline]
  34. Rostosky SS, Riggle ED. Same-sex couple relationship strengths: a review and synthesis of the empirical literature (2000–2016). Psychol Sex Orientat Gend Divers 2017;4(1):1-13. [CrossRef]
  35. Wight RG, Leblanc AJ, Lee Badgett MV. Same-sex legal marriage and psychological well-being: findings from the California Health Interview survey. Am J Public Health 2013 Feb;103(2):339-346. [CrossRef] [Medline]
  36. Hatzenbuehler ML, Link BG. Introduction to the special issue on structural stigma and health. Soc Sci Med 2014 Feb;103:1-6. [CrossRef] [Medline]
  37. Muthén LK, Muthén BO. How to use a Monte Carlo study to decide on sample size and determine power. Struct Equ Modeling 2002 Oct;9(4):599-620. [CrossRef]
  38. West SG, Ryu E, Kwok O, Cham H. Multilevel modeling: current and future applications in personality research. J Pers 2011 Feb;79(1):2-50. [CrossRef] [Medline]
  39. Boynton MH, Richman LS. An online daily diary study of alcohol use using Amazon's Mechanical Turk. Drug Alcohol Rev 2014 Jul;33(4):456-461 [FREE Full text] [CrossRef] [Medline]
  40. Hatzenbuehler ML, Dovidio JF, Nolen-Hoeksema S, Phills CE. An implicit measure of anti-gay attitudes: prospective associations with emotion regulation strategies and psychological distress. J Exp Soc Psychol 2009 Nov 01;45(6):1316-1320 [FREE Full text] [CrossRef] [Medline]
  41. Heron KE, Braitman AL, Lewis RJ, Shappie AT, Hitson PT. Measuring sexual minority stressors in lesbian women’s daily lives: initial scale development. Psychol Sex Orientat Gend Divers 2018 Jun 25;5(3):387-395. [CrossRef]
  42. Dworkin ER, Cadigan J, Hughes T, Lee C, Kaysen D. Sexual identity of drinking companions, drinking motives, and drinking behaviors among young sexual minority women: an analysis of daily data. Psychol Addict Behav 2018 Dec;32(5):540-551. [CrossRef] [Medline]
  43. Littlefield AK, Talley AE, Jackson KM. Coping motives, negative moods, and time-to-drink: exploring alternative analytic models of coping motives as a moderator of daily mood-drinking covariation. Addict Behav 2012 Dec;37(12):1371-1376 [FREE Full text] [CrossRef] [Medline]
  44. Lau-Barraco C, Linden-Carmichael AN. A daily diary study of drinking and nondrinking days in nonstudent alcohol users. Subst Use Misuse 2018 Jul 02:1-8 Epub ahead of print(forthcoming). [CrossRef] [Medline]
  45. Straus MA, Hamby SL, Boney-McCoy S, Sugarman DB. The revised conflict tactics scales (CTS2) development and preliminary psychometric data. J Fam Issues 1996;17(3):283-316. [CrossRef]
  46. Tolman RM. The validation of the Psychological Maltreatment of Women Inventory. Violence Vict 1999;14(1):25-37. [Medline]
  47. Ware JE, Sherboure CD, Davies AR. Developing and testing the MOS 20-item Short-Form Health survey: a general population application. In: Stewart AL, Ware, Jr JE, editors. Measuring Functioning and Well-Being: The Medical Outcomes Study Approach. Durham, NC: Duke University Press; 1992:277-290.
  48. Balsam KF, Beadnell B, Molina Y. The daily heterosexist experiences questionnaire: measuring minority stress among lesbian, gay, bisexual, and transgender adults. Meas Eval Couns Dev 2013 Jan;46(1):3-25 [FREE Full text] [CrossRef] [Medline]
  49. Fairburn CG, Beglin SJ. Assessment of eating disorders: interview or self-report questionnaire? Int J Eat Disord 1994 Dec;16(4):363-370. [Medline]
  50. Fairburn CG, Beglin SJ. Eating disorder examination questionnaire. In: Fairburn C, editor. Cognitive Behavior Therapy and Eating Disorders. New York: Guilford Press; 2008.
  51. Downey G, Feldman SI. Implications of rejection sensitivity for intimate relationships. J Pers Soc Psychol 1996;70(6):1327-1343. [CrossRef]
  52. Rusbult CE, Martz JM, Agnew CR. The Investment Model Scale: measuring commitment level, satisfaction level, quality of alternatives, and investment size. Pers Relatsh 1998 Dec;5(4):357-387. [CrossRef]
  53. Pfeiffer SM, Wong PT. Multidimensional jealousy. J Soc Pers Relat 1989;6(2):181-196. [CrossRef]
  54. Berenson KR, Gyurak A, Ayduk O, Downey G, Garner MJ, Mogg K, et al. Rejection sensitivity and disruption of attention by social threat cues. J Res Pers 2009;43(6):1064-1072 [FREE Full text] [CrossRef] [Medline]
  55. Babor TF, Higgins-Biddle J, Saunders JB, Monteiro MG, World Health Organization. AUDIT: The Alcohol Use Disorders Identification Test: Guidelines for Use in Primary Care. Geneva, Switzerland: World Health Organization; 2001.
  56. Collins RL, Parks GA, Marlatt GA. Social determinants of alcohol consumption: the effects of social interaction and model status on the self-administration of alcohol. J Consult Clin Psychol 1985;53(2):189-200. [CrossRef] [Medline]
  57. Johnson TJ, Cohen EA. College students’ reasons for not drinking and not playing drinking games. Subst Use Misuse 2004 Dec 07;39(7):1137-1160. [CrossRef]
  58. Kahler CW, Strong DR, Read JP. Toward efficient and comprehensive measurement of the alcohol problems continuum in college students: the Brief Young Adult Alcohol Consequences Questionnaire. Alcohol Clin Exp Res 2005;29(7):1180-1189. [CrossRef]
  59. Levitt A, Leonard KE. Relationship-specific alcohol expectancies and relationship-drinking contexts: reciprocal influence and gender-specific effects over the first 9 years of marriage. Psychol Addict Behav 2013 Dec;27(4):986-996 [FREE Full text] [CrossRef] [Medline]
  60. Cooper ML. Motivations for alcohol use among adolescents: development and validation of a four-factor model. Psychol Assess 1994;6(2):117-128. [CrossRef]
  61. Mohr JJ, Kendra MS. Revision and extension of a multidimensional measure of sexual minority identity: the Lesbian, Gay, and Bisexual Identity Scale. J Couns Psychol 2011 Apr;58(2):234-245. [CrossRef] [Medline]
  62. Franke R, Leary MR. Disclosure of sexual orientation by lesbians and gay men: a comparison of private and public processes. J Soc Clin Psychol 1991 Sep;10(3):262-269. [CrossRef]
  63. Dyar C, Feinstein BA, Eaton NR, London B. Development and initial validation of the sexual minority women rejection sensitivity scale. Psychol Women Q 2015 Sep 24;40(1):120-137. [CrossRef]
  64. Zimet GD, Dahlem NW, Zimet SG, Farley GK. The multidimensional scale of perceived social support. J Pers Assess 1988 Mar;52(1):30-41. [CrossRef]
  65. Smith BW, Dalen J, Wiggins K, Tooley E, Christopher P, Bernard J. The brief resilience scale: assessing the ability to bounce back. Int J Behav Med 2008 Sep;15(3):194-200. [CrossRef] [Medline]
  66. Bryant FB, Smith BD. Refining the architecture of aggression: a measurement model for the Buss-Perry aggression questionnaire. J Res Pers 2001 Jun;35(2):138-167. [CrossRef]
  67. Veit CT, Ware JE. The structure of psychological distress and well-being in general populations. J Consult Clin Psychol 1983;51(5):730-742. [CrossRef]
  68. Watson D, O'Hara MW, Simms LJ, Kotov R, Chmielewski M, McDade-Montez EA, et al. Development and validation of the Inventory of Depression and Anxiety Symptoms (IDAS). Psychol Assess 2007 Sep;19(3):253-268. [CrossRef] [Medline]
  69. White HR, Mun EY, Morgan TJ. Do brief personalized feedback interventions work for mandated students or is it just getting caught that works? Psychol Addict Behav 2008 Mar;22(1):107-116 [FREE Full text] [CrossRef] [Medline]
  70. Forbush KT, Wildes JE, Pollack LO, Dunbar D, Luo J, Patterson K, et al. Development and validation of the Eating Pathology Symptoms Inventory (EPSI). Psychol Assess 2013 Sep;25(3):859-878. [CrossRef] [Medline]
  71. Forbush KT, Wildes JE, Hunt TK. Gender norms, psychometric properties, and validity for the Eating Pathology Symptoms Inventory. Int J Eat Disord 2014 Jan;47(1):85-91. [CrossRef] [Medline]
  72. Young V, Curran M, Totenhagen C. A daily diary study: working to change the relationship and relational uncertainty in understanding positive relationship quality. J Soc Pers Relat 2012 Jul 31;30(1):132-148. [CrossRef]
  73. Totenhagen CJ, Butler EA, Ridley CA. Daily stress, closeness, and satisfaction in gay and lesbian couples. Pers Relatsh 2012;19:219-233. [CrossRef]
  74. Laurenceau JP, Troy AB, Carver CS. Two distinct emotional experiences in romantic relationships: effects of perceptions regarding approach of intimacy and avoidance of conflict. Pers Soc Psychol Bull 2005 Aug;31(8):1123-1133. [CrossRef] [Medline]
  75. Oishi S, Sullivan HW. The predictive value of daily vs retrospective well-being judgments in relationship stability. J Exp Soc Psychol 2006 Jul;42(4):460-470. [CrossRef]
  76. Testa M, Derrick JL. A daily process examination of the temporal association between alcohol use and verbal and physical aggression in community couples. Psychol Addict Behav 2014 Mar;28(1):127-138 [FREE Full text] [CrossRef] [Medline]
  77. Braitman A, Kelley M, Heron K, Lewis R, Pearson M. Developing a Daily assessment of alcohol-related consequences: Examining intra-individual variability. 2016 Presented at: Annual meeting of the Association for Psychological Sciences; May 2016; Chicago, IL.
  78. O'Hara RE, Armeli S, Tennen H. College students' daily-level reasons for not drinking. Drug Alcohol Rev 2014 Jul;33(4):412-419 [FREE Full text] [CrossRef] [Medline]
  79. Szymanski DM. Does internalized heterosexism moderate the link between heterosexist events and lesbians' psychological distress? Sex Roles 2006 Feb;54(3-4):227-234. [CrossRef]
  80. Meidlinger PC, Hope DA. Differentiating disclosure and concealment in measurement of outness for sexual minorities: the Nebraska Outness Scale. Psychol Sex Orientat Gend Divers 2014;1(4):489-497. [CrossRef]
  81. Garner DM, Olmsted MP, Bohr Y, Garfinkel PE. The eating attitudes test: psychometric features and clinical correlates. Psychol Med 2009 Jul 9;12(4):871-878. [CrossRef] [Medline]
  82. Almeida DM, Wethington E, Kessler RC. The daily inventory of stressful events: an interview-based approach for measuring daily stressors. Assessment 2002 Mar;9(1):41-55. [CrossRef] [Medline]
  83. Craig CL, Marshall AL, Sjöström M, Bauman AE, Booth ML, Ainsworth BE, et al. International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc 2003 Aug;35(8):1381-1395. [CrossRef] [Medline]
  84. Rook KS. Emotional health and positive versus negative social exchanges: a daily diary analysis. Appl Dev Sci 2001 Apr;5(2):86-97. [CrossRef]
  85. Britton BK, Tesser A. Effects of time-management practices on college grades. J Educ Psychol 1991;83(3):405-410. [CrossRef]
  86. Raudenbush SW, Bryk AS. Hierarchical Linear Models: Applications and Data Analysis Methods. Newbury Park, CA: SAGE Publications; 2002.
  87. Snijders TA, Bosker RJ. Multilevel Analysis: An Introduction To Basic And Advanced Multilevel Modeling. Thousand Oaks, CA: SAGE Publications; 1999.
  88. Preacher KJ, Zyphur MJ, Zhang Z. A general multilevel SEM framework for assessing multilevel mediation. Psychol Methods 2010 Sep;15(3):209-233. [CrossRef] [Medline]
  89. Preacher KJ, Hayes AF. SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behav Res Methods Instrum Comput 2004 Nov;36(4):717-731. [CrossRef]
  90. Preacher KJ, Hayes AF. Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behav Res Methods 2008 Aug;40(3):879-891. [CrossRef] [Medline]
  91. Muthén LK, Muthén BO. Mplus: Statistical Analysis With Latent Variables: User's Guide. Los Angeles, CA: Muthén & Muthén; 1998.
  92. Savin-Williams RC, Joyner K, Rieger G. Prevalence and stability of self-reported sexual orientation identity during young adulthood. Arch Sex Behav 2012 Feb;41(1):103-110. [CrossRef] [Medline]
  93. Talley AE, Stevens JE. Sexual orientation self-concept ambiguity: scale adaptation and validation. Assessment 2017 Jul;24(5):632-645 [FREE Full text] [CrossRef] [Medline]
  94. Young RM, Meyer IH. The trouble with “MSM” and “WSW”: erasure of the sexual-minority person in public health discourse. Am J Public Health 2005 Jul;95(7):1144-1149. [CrossRef] [Medline]
  95. Oppenheimer DM, Meyvis T, Davidenko N. Instructional manipulation checks: detecting satisficing to increase statistical power. J Exp Soc Psychol 2009 Jul;45(4):867-872. [CrossRef]
  96. Hauser DJ, Sunderrajan A, Natarajan M, Schwarz N. Prior exposure to instructional manipulation checks does not attenuate survey context effects driven by satisficing or gricean norms. Methods, Data, Analyses 2016;10:195-220 [FREE Full text] [CrossRef]
  97. Kung FY, Kwok N, Brown DJ. Are attention check questions a threat to scale validity? Appl Psycho 2017 Aug 24;67(2):264-283. [CrossRef]
  98. Hauser DJ, Schwarz N. It’s a trap! Instructional manipulation checks prompt systematic thinking on “tricky” tasks. SAGE Open 2015 May 22;5(2):215824401558461. [CrossRef]
  99. Smyth J, Heron K. Health Psychology. In: Mehl MR, Connor TS, editors. Handbook of Research Methods for Studying Daily Life. New York: Guilford Press; 2012:569-584.
  100. Heron KE, Miadich SA, Everhart RS, Smyth JM. Ecological momentary assessment and related intensive longitudinal designs in family and couples research. In: Fiese B, Deater-Deckard K, Celano M, Joyriles E, Whisman M, editors. APA handbook of contemporary family psychology. Washington DC: American Psychological Association; 2018.
  101. Livingston NA. Avenues for future minority stress and substance use research among sexual and gender minority populations. J LGBT Issues Couns 2017 Feb;11(1):52-62. [CrossRef]
  102. Riley WT, Rivera DE, Atienza AA, Nilsen W, Allison SM, Mermelstein R. Health behavior models in the age of mobile interventions: are our theories up to the task? Transl Behav Med 2011 Mar;1(1):53-71 [FREE Full text] [CrossRef] [Medline]


CMI: Community Marketing and Insights
EMA: ecological momentary assessment
ICCs: intraclass correlation coefficients
LGBT: lesbian, gay, bisexual, and transgender
MLM: multilevel modeling
MSEM: multilevel structural equation modeling
SMW: sexual minority women


Edited by N Kuter, G Eysenbach; submitted 27.07.18; peer-reviewed by C Veldhuis, E Mereish, M Nomali; comments to author 12.09.18; revised version received 24.10.18; accepted 31.10.18; published 04.02.19

Copyright

©Kristin E Heron, Robin J Lewis, Alexander T Shappie, Charlotte A Dawson, Rachel Amerson, Abby L Braitman, Barbara A Winstead, Michelle L Kelley. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 04.02.2019.

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