Latent transition analysis of time-varying cannabis use motives to inform adaptive interventions.

OBJECTIVE: The rising prevalence of daily cannabis use among older adolescents and young adults in the United States has significant public health implications. As a result, more individuals may be seeking or in need of treatment for adverse outcomes (e.g., cannabis use disorder) arising from excessive cannabis use. Our objective was to explore the potential of self-reported motives for cannabis use as a foundation for developing adaptive interventions tailored to reduce cannabis consumption over time or in certain circumstances. We aimed to understand how transitions in these motives, which can be collected with varying frequencies (yearly, monthly, daily), predict the frequency and adverse outcomes of cannabis use. METHOD: We conducted secondary analyses on data collected at different frequencies from four studies: the Medical Cannabis Certification Cohort Study (n = 801, biannually), the Cannabis, Health, and Young Adults Project (n = 359, annually), the Monitoring the Future Panel Study (n = 7,851, biennially), and the Text Messaging Study (n = 87, daily). These studies collected time-varying motives for cannabis use and distal measures of cannabis use from adolescents, young adults, and adults. We applied latent transition analysis with random intercepts to analyze the data. RESULTS: We identified the types of transitions in latent motive classes that are predictive of adverse outcomes in the future, specifically transitions into or staying in classes characterized by multiple motives. CONCLUSIONS: The identification of such transitions has direct implications for the development of adaptive interventions designed to prevent adverse health outcomes related to cannabis use. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Does the approach used to measure sexual identity affect estimates of health disparities differently by race? A randomized experiment from the National Survey of Family Growth.

The inclusion of "something else" as a response option for survey questions about sexual identity has been shown to significantly moderate estimated differences between sexual identity subgroups in the distributions of various health outcomes in national health surveys, specifically for substance use/misuse and reproductive health. This moderation effect may be larger depending on the respondent's race, possibly due to the intersectionality of multiple minority identities and compounding minority stressors. To test this hypothesis, we conducted secondary analyses of data from five consecutive years of the National Survey of Family Growth (2015-2019) [n = 18,903 (8510 males, 10,393 females)] in the United States, where respondents were randomly assigned to receive either a four-category version of the sexual identity question that included "something else" as a response option along with lesbian/gay, bisexual, and heterosexual, or a three-category version that omitted "something else." We focused on model-based estimates of distributions of health outcomes across subgroups defined by both race and sexual identity and tested the race moderation hypothesis using three-way interactions involving sexual identity, question type received (four-category vs. three-category), and race (Black, White, and other). Based on this randomized experiment, we found evidence of significant differences between the four-category and three-category question versions of sexual identity, in terms of the associations between sexual identity and several health outcomes, along with moderation of these differences by the respondent's race. For some outcomes, such as wanting a child or another child, the magnitudes of the estimated sexual identity differences among racial minority individuals, specifically between bisexual and heterosexual women, were sensitive to the measurement of sexual identity. These results further suggest a need for improved sexual minority measurement, especially among racial minorities. These differences were also mostly found among women, suggesting further intersectionality of groups exposed to specific stressors.

How a "Something Else" Response Option for Sexual Identity Affects National Survey Estimates of Associations Between Sexual Identity, Reproductive Health, and Substance Use.

This randomized experiment tested whether the inclusion of a "something else" response option for a question about sexual identity in a national health survey would significantly moderate estimated differences between sexual identity subgroups in terms of various health outcomes, including substance use and reproductive health. We conducted secondary analyses of data from five consecutive years of the National Survey of Family Growth (NSFG; 2015-2019), where two large national half-samples were randomly assigned to receive one of two different versions of a question about sexual identity (a four-category version that included a "something else" response option or a three-category version omitting this option). We focused on national estimates of differences between subgroups defined by sexual identity. Multivariable models indicated that the estimated subgroup differences changed in a statistically significant fashion when using the four-category version of the sexual identity question for several measures, including 16% of male measures (household size, past-year cigarette use, and past-year illicit drug use) and 15% of female measures (wanting a/another child, ever had a sexually transmitted disease, and past-year marijuana use). The absence of a "something else" response option for questions about sexual identity in national health surveys may cause respondents to select options that do not accurately describe their identities, and this can have a significant effect on national estimates of differences between sexual identity subgroups in terms of selected health outcomes.

Social Ecological Influences on Nicotine/Tobacco Use Among Gender-Varying and Gender-Stable Adolescents and Adults in the USA.

BACKGROUND AND PURPOSE: Our study examined individual-, interpersonal-, community-, and policy-level associations with nicotine/tobacco use among gender-varying and gender-stable U.S. individuals. METHODS: Data from Waves 2-4 (2014/15-2016/18) of the Population Assessment of Tobacco and Health (n = 33,197 U.S. adolescents and adults aged ≥14 years) and state-level gender minority policy data were used. Using multivariable logistic regression, the odds of past-30-day nicotine/tobacco use at W4 were estimated as a function of gender stability/variability, psychological distress, number of tobacco products used by family/friends, anti-tobacco marketing exposure, and change in gender minority-related policies from 2015 to 2017. RESULTS: Gender-varying individuals had higher odds of nicotine/tobacco use compared with gender-stable individuals (AOR range = 1.7-2.3, p < .01). In the overall sample, positive change in gender minority policy protections (tallied from medium to high) was associated with lower odds of any nicotine/tobacco, other tobacco, and poly-tobacco use (AOR = 0.8, p < .05) compared to states with no change in their negative policies. Anti-tobacco marketing exposure was associated with lower odds of any tobacco, cigarette, e-cigarette, and poly-tobacco use compared with those who had no anti-tobacco marketing exposure (AOR = 0.9, p < .05). Higher psychological distress (AOR range = 1.7-2.4, p < .001) and an increasing number of tobacco products used by family/friends (AOR range = 1.1-1.3, p < .001) were associated with increased odds of nicotine/tobacco use. CONCLUSIONS: Multilevel prevention and intervention strategies are needed to reduce the risk of nicotine/tobacco use among gender-varying and gender-stable individuals.

Prior work has shown that individuals whose gender identity changes over time (i.e., gender-varying) have higher risk for nicotine/tobacco use compared with individuals whose gender identity remains consistent over time (i.e., gender-stable). This study examined individual-, interpersonal-, community-, and policy-level associations with nicotine/tobacco use among gender-varying and gender-stable U.S. adolescents and adults. We analyzed data from Waves 2­4 (2014/15­2016/18) of the Population Assessment of Tobacco and Health study (n = 33,197 U.S. adolescents and adults aged 14 years and above) and state-level gender identity policy data from the Movement Advancement Project. Among the overall sample, we found that a positive change in state-level policy protections was associated with lower odds of any nicotine/tobacco, other tobacco, and poly-tobacco use compared with states that had no change in their negative policies. Exposure to anti-tobacco marketing was associated with lower odds of any tobacco, cigarette, e-cigarette, and poly-tobacco use compared with those who had no exposure to anti-tobacco marketing. Higher psychological distress and an increasing number of tobacco products used by close friends and family were associated with increased odds of nicotine/tobacco use. Multilevel prevention and intervention strategies are needed to reduce the risk of nicotine/tobacco use among gender-varying and gender-stable individuals.

An experimental evaluation of a stopping rule aimed at maximizing cost-quality trade-offs in surveys.

Surveys face difficult choices in managing cost-error trade-offs. Stopping rules for surveys have been proposed as a method for managing these trade-offs. A stopping rule will limit effort on a select subset of cases to reduce costs with minimal harm to quality. Previously proposed stopping rules have focused on quality with an implicit assumption that all cases have the same cost. This assumption is unlikely to be true, particularly when some cases will require more effort and, therefore, more costs than others. We propose a new rule that looks at both predicted costs and quality. This rule is tested experimentally against another rule that focuses on stopping cases that are expected to be difficult to recruit. The experiment was conducted on the 2020 data collection of the Health and Retirement Study (HRS). We test both Bayesian and non-Bayesian (maximum-likelihood or ML) versions of the rule. The Bayesian version of the prediction models uses historical data to establish prior information. The Bayesian version led to higher-quality data for roughly the same cost, while the ML version led to small reductions in quality with larger reductions in cost compared to the control rule.

Visible Cash, a Second Incentive, and Priority Mail? An Experimental Evaluation of Mailing Strategies for a Screening Questionnaire in a National Push-to-Web/Mail Survey.

In push-to-web surveys that use postal mail to contact sampled cases, participation is contingent on the mail being opened and the survey invitations being delivered. The design of the mailings is crucial to the success of the survey. We address the question of how to design invitation mailings that can grab potential respondents' attention and sway them to be interested in the survey in a short window of time. In the household screening stage of a national survey, the American Family Health Study, we experimentally tested three mailing design techniques for recruiting respondents: (1) a visible cash incentive in the initial mailing, (2) a second incentive for initial nonrespondents, and (3) use of Priority Mail in the nonresponse follow-up mailing. We evaluated the three techniques' overall effects on response rates as well as how they differentially attracted respondents with different characteristics. We found that all three techniques were useful in increasing the screening response rates, but there was little evidence that they had differential effects on sample subgroups that could help to reduce nonresponse biases.

Evaluating Pre-election Polling Estimates Using a New Measure of Non-ignorable Selection Bias.

Among the numerous explanations that have been offered for recent errors in pre-election polls, selection bias due to non-ignorable partisan nonresponse bias, where the probability of responding to a poll is a function of the candidate preference that a poll is attempting to measure (even after conditioning on other relevant covariates used for weighting adjustments), has received relatively less focus in the academic literature. Under this type of selection mechanism, estimates of candidate preferences based on individual or aggregated polls may be subject to significant bias, even after standard weighting adjustments. Until recently, methods for measuring and adjusting for this type of non-ignorable selection bias have been unavailable. Fortunately, recent developments in the methodological literature have provided political researchers with easy-to-use measures of non-ignorable selection bias. In this study, we apply a new measure that has been developed specifically for estimated proportions to this challenging problem. We analyze data from 18 different pre-election polls: 9 different telephone polls conducted in 8 different states prior to the US presidential election in 2020, and nine different pre-election polls conducted either online or via telephone in Great Britain prior to the 2015 general election. We rigorously evaluate the ability of this new measure to detect and adjust for selection bias in estimates of the proportion of likely voters that will vote for a specific candidate, using official outcomes from each election as benchmarks and alternative data sources for estimating key characteristics of the likely voter populations in each context.

Video in Survey Interviews: Effects on Data Quality and Respondent Experience.

This study investigates the extent to which video technologies - now ubiquitous - might be useful for survey measurement. We compare respondents' performance and experience (n = 1,067) in live video-mediated interviews, a web survey in which prerecorded interviewers read questions, and a conventional (textual) web survey. Compared to web survey respondents, those interviewed via live video were less likely to select the same response for all statements in a battery (non-differentiation) and reported higher satisfaction with their experience but provided more rounded numerical (presumably less thoughtful) answers and selected answers that were less sensitive (more socially desirable). This suggests the presence of a live interviewer, even if mediated, can keep respondents motivated and conscientious but may introduce time pressure - a likely reason for increased rounding - and social presence - a likely reason for more socially desirable responding. Respondents "interviewed" by a prerecorded interviewer, rounded fewer numerical answers and responded more candidly than did those in the other modes, but engaged in non-differentiation more than did live video respondents, suggesting there are advantages and disadvantages for both video modes. Both live and prerecorded video seem potentially viable for use in production surveys and may be especially valuable when in-person interviews are not feasible.

Methods for improving participation rates in national self-administered web/mail surveys: Evidence from the United States.

In the United States, increasing access to the internet, the increasing costs of large-scale face-to-face data collections, and the general reluctance of the public to participate in intrusive in-person data collections all mean that new approaches to nationally representative surveys are urgently needed. The COVID-19 pandemic accelerated the need for faster, higher-quality alternatives to face-to-face data collection. These trends place a high priority on the evaluation of innovative web-based data collection methods that are convenient for the U.S. public and yield scientific information of high quality. The web mode is particularly appealing because it is relatively inexpensive, it is logistically flexible to implement, and it affords a high level of privacy and confidentiality when correctly implemented. With this study, we aimed to conduct a methodological evaluation of a sequential mixed-mode web/mail data collection protocol, including modular survey design concepts, which was implemented on a national probability sample in the U.S. in 2020-2021. We implemented randomized experiments to test theoretically-informed hypotheses that 1) the use of mail and increased incentives to follow up with households that did not respond to an invitation to complete a household screening questionnaire online would help to recruit different types of households; and 2) the use of modular survey design, which involves splitting a lengthy self-administered survey up into multiple parts that can be completed at a respondent's convenience, would improve survey completion rates. We find support for the use of mail and increased incentives to follow up with households that have not responded to a web-based screening questionnaire. We did not find support for the use of modular design in this context. Simple descriptive analyses also suggest that attempted telephone reminders may be helpful for the main survey.

Forced intercourse in America: a pandemic update.

BACKGROUND: Measures of forced intercourse from the U.S. National Center for Health Statistics (NCHS) indicate high prevalence among U.S. women, which is likely to produce unintended pregnancies. However, NCHS did not measure forced intercourse during the pandemic, limiting knowledge of recent prevalence rates. METHODS: We use multiple nationally-representative, cross-sectional surveys representing the U.S. population from 2011 to 2022 to document these trends. This includes measures from the National Survey of Family Growth, the Panel Study of Income Dynamics Transition into Adulthood Supplement, and the American Family Health Study (AFHS) to provide population estimates of forced intercourse. RESULTS: Reports of forced intercourse remained high during the pandemic, with more than 25% of U.S. females over 40 reporting lifetime forced intercourse in the AFHS (number of females in AFHS: 1,042). There was a significant increase among females aged 24-28 (p < 0.05) and rates are highest for those who did not complete college. Among females 24-28, 32.5% (S.E. = 5.7%) with less than 4 years of college reported forced intercourse, a significantly (p < 0.05) higher rate than among those with a higher level of education. CONCLUSIONS: Rates of forced intercourse among U.S. women remained high during the pandemic, increasing significantly in early adulthood. This exposure to forced intercourse is likely to produce an increase in unintended pregnancies and other sexual, reproductive, and mental health problems.

Ethnic Discrimination, Sexual Orientation Discrimination, and DSM-5 Alcohol Use Disorder Among U.S. Latino or Hispanic Adults.

We aimed to assess the probability of past-year DSM-5 alcohol use disorder (AUD) and past-year moderate-to-severe DSM-5 AUD as a function of past-year ethnic discrimination among U.S. Latino/Hispanic adults and as a function of past-year discrimination types among Latino/Hispanic sexual minorities (SM). We used data from the 2012-2013 National Epidemiological Survey on Alcohol and Related Conditions-III (n = 36,309 U.S. adults aged ≥18 years). Our sample consisted of 6,954 Latino/Hispanic adults. Multivariable logistic regression analyses estimated the association of past-year ethnic discrimination with past-year AUD and past-year moderate-to-severe AUD among the overall Latino/Hispanic population. We tested the association between discrimination types (i.e. none, ethnic or sexual orientation discrimination, both) with AUD and moderate-to-severe AUD among Latino/Hispanic SM adults. Among Latino/Hispanic adults, 13.4% met criteria for past-year AUD and 6.4% met criteria for past-year moderate-to-severe AUD. Ethnic discrimination was significantly associated with AUD (AOR = 1.09, 95% CI = 1.07-1.12) and moderate-to-severe AUD (AOR = 1.10, 95% CI = 1.06-1.13). Latino/Hispanic SMs who experienced both ethnic and sexual orientation discrimination were more likely to meet criteria for AUD (AOR = 3.44, 95% CI = 1.97-6.03) and moderate-to-severe AUD (AOR = 2.69, 95% CI = 1.25-5.82) compared to those who did not experience discrimination. Discrimination is a risk factor for AUD and moderate-to-severe AUD among Latino/Hispanic overall and SM populations.

The Mode Effect of Web-Based Surveying on the 2018 U.S. Health and Retirement Study Measure of Cognitive Functioning.

OBJECTIVES: Measuring cognition in an aging populabtion is a public health priority. A move towards survey measurement via the web (as opposed to phone or in-person) is cost-effective but challenging as it may induce bias in cognitive measures. We examine this possibility using an experiment embedded in the 2018 wave of data collection for the U.S. Health and Retirement Study (HRS). METHODS: We utilize techniques from multiple group item response theory to assess the effect of survey mode on performance on the HRS cognitive measure. We also study the problem of attrition by attempting to predict dropout and via approaches meant to minimize bias in subsequent inferences due to attrition. RESULTS: We find evidence of an increase in scores for HRS respondents who are randomly assigned to the web-based mode of data collection in 2018. Web-based respondents score higher in 2018 than experimentally matched phone-based respondents, and they show much larger gains relative to 2016 performance and subsequently larger declines in 2020. The differential in favor of web-based responding is observed across all items, but is most pronounced for the Serial 7 task and numeracy items. Due to the relative ease of the web-based mode, we suggest a cutscore of 12 being used to indicate CIND (cognitively impaired but not demented) status when using the web-based version rather than 11. DISCUSSION: The difference in mode may be nonignorable for many uses of the HRS cognitive measure. In particular, it may require reconsideration of some cutscore-based approaches to identify impairment.

Deriving Priors for Bayesian Prediction of Daily Response Propensity in Responsive Survey Design: Historical Data Analysis Versus Literature Review.

Responsive survey design (RSD) aims to increase the efficiency of survey data collection via live monitoring of paradata and the introduction of protocol changes when survey errors and increased costs seem imminent. Daily predictions of response propensity for all active sampled cases are among the most important quantities for live monitoring of data collection outcomes, making sound predictions of these propensities essential for the success of RSD. Because it relies on real-time updates of prior beliefs about key design quantities, such as predicted response propensities, RSD stands to benefit from Bayesian approaches. However, empirical evidence of the merits of these approaches is lacking in the literature, and the derivation of informative prior distributions is required for these approaches to be effective. In this paper, we evaluate the ability of two approaches to deriving prior distributions for the coefficients defining daily response propensity models to improve predictions of daily response propensity in a real data collection employing RSD. The first approach involves analyses of historical data from the same survey, and the second approach involves literature review. We find that Bayesian methods based on these two approaches result in higher-quality predictions of response propensity than more standard approaches ignoring prior information. This is especially true during the early-to-middle periods of data collection, when survey managers using RSD often consider interventions.

Forced Intercourse in America: A Pandemic Update.

Background : Measures of forced intercourse from the U.S. National Center for Health Statistics (NCHS) indicate this a high prevalence among U.S. women that is likely to produce unintended pregnancies. However, NCHS did not measure forced intercourse during the pandemic, limiting knowledge of recent prevalence rates. Methods : We use multiple nationally-representative, cross-sectional surveys representing the U.S. population from 2011 to 2022 to document these trends. This includes measures from the National Survey of Family Growth, the Panel Study of Income Dynamics Transition into Adulthood Supplement, and the American Family Health Study (AFHS) to provide population estimates of forced intercourse. Results : Reports of forced intercourse remained high during the pandemic, with more than 25% of U.S. females over 40 reporting lifetime forced intercourse in the AFHS (number of females in AFHS: 1,042). There was a significant increase among females aged 24-28 (p<.05) and rates are highest for those who did not complete college. Among females 24-28, 32.5% (S.E. = 5.7%) with less than 4 years of college reported forced intercourse, a significantly (p<.05) higher rate than among those with higher education. Conclusions : Rates of forced intercourse among U.S. women remained high during the pandemic, increasing significantly in early adulthood. This exposure to forced intercourse is likely to produce an increase in unintended pregnancies and other sexual, reproductive, and mental health problems.

An Experimental Evaluation of Two Approaches for Improving Response to Household Screening Efforts in National Mail/Web Surveys.

Survey researchers have carefully modified their data collection operations for various reasons, including the rising costs of data collection and the ongoing Coronavirus disease (COVID-19) pandemic, both of which have made in-person interviewing difficult. For large national surveys that require household (HH) screening to determine survey eligibility, cost-efficient screening methods that do not include in-person visits need additional evaluation and testing. A new study, known as the American Family Health Study (AFHS), recently initiated data collection with a national probability sample, using a sequential mixed-mode mail/web protocol for push-to-web US HH screening (targeting persons aged 18-49 years). To better understand optimal approaches for this type of national screening effort, we embedded two randomized experiments in the AFHS data collection. The first tested the use of bilingual respondent materials where mailed invitations to the screener were sent in both English and Spanish to 50 percent of addresses with a high predicted likelihood of having a Spanish speaker and 10 percent of all other addresses. We found that the bilingual approach did not increase the response rate of high-likelihood Spanish-speaking addresses, but consistent with prior work, it increased the proportion of eligible Hispanic respondents identified among completed screeners, especially among addresses predicted to have a high likelihood of having Spanish speakers. The second tested a form of nonresponse follow-up, where a subsample of active sampled HHs that had not yet responded to the screening invitations was sent a priority mailing with a $5 incentive, adding to the $2 incentive provided for all sampled HHs in the initial screening invitation. We found this approach to be quite valuable for increasing the screening survey response rate.

Why weight? Analytic approaches for large-scale population neuroscience data.

Population-based neuroimaging studies that feature complex sampling designs enable researchers to generalize their results more widely. However, several theoretical and analytical questions pose challenges to researchers interested in these data. The following is a resource for researchers interested in using population-based neuroimaging data. We provide an overview of sampling designs and describe the differences between traditional model-based analyses and survey-oriented design-based analyses. To elucidate key concepts, we leverage data from the Adolescent Brain Cognitive Development℠ Study (ABCD Study®), a population-based sample of 11,878 9-10-year-olds in the United States. Analyses revealed modest sociodemographic discrepancies between the target population of 9-10-year-olds in the U.S. and both the recruited ABCD sample and the analytic sample with usable structural and functional imaging data. In evaluating the associations between socioeconomic resources (i.e., constructs that are tightly linked to recruitment biases) and several metrics of brain development, we show that model-based approaches over-estimated the associations of household income and under-estimated the associations of caregiver education with total cortical volume and surface area. Comparable results were found in models predicting neural function during two fMRI task paradigms. We conclude with recommendations for ABCD Study® users and users of population-based neuroimaging cohorts more broadly.

Identifying latent classes of Relative Energy Deficiency in Sport (RED-S) consequences in a sample of collegiate female cross country runners.

OBJECTIVE: The purpose of this study was to identify patterns of clustering of the 10 health consequences identified in the Relative Energy Deficiency in Sport (RED-S) framework among collegiate female Cross-Country runners. We also assessed risk characteristics associated with each cluster. METHODS: This randomly sampled population included 211 current National Collegiate Athletics Association (NCAA) Division I (DI) female cross country runners who completed a quantitative survey. We used latent class analysis (LCA) to group athletes into mutually exclusive classes based on shared response patterns of RED-S consequences. We computed descriptive statistics to identify demographics, personal characteristics, disordered eating and emotional health characteristics associated with each class. RESULTS: The average age of the sample was 21 years with mean body mass index 20.4 kg/m2. The LCA identified three unique classes of potential RED-S presentations: (1) low probability of RED-S consequences; (2) complex physical and psychological concerns with a higher burden of cardiovascular concern and (3) very high probability of anxiety with high burden of menstrual disturbance, bone injury and gastrointestinal concern. All classes were characterised by high levels of menstrual disturbance and distinguished by the number and burden of other potential RED-S consequences and in reported abuse history, emotional regulation and perfectionism. CONCLUSION: This study identified a high burden of menstrual disturbance in NCAA D1 cross country runners, and three unique presentations of RED-S consequences. Future research is warranted to better understand how early prevention and intervention strategies may mitigate RED-S consequences in distance runners.

Is it all in the family? Sexual identity differences in DSM-5 alcohol and other drug use disorders and associations with alcohol and other drug misuse history among parents, offspring, and other relatives.

Background: The objectives of this study were to: (1) estimate the prevalence of family history of alcohol and other drug (AOD) misuse (positive family history [FH+]) in first- and second-degree relatives across sexual identity subgroups (i.e., lesbian, gay, bisexual, heterosexual); (2) compare AOD misuse among offspring of sexual minority and heterosexual parents; and (3) examine the relationships between FH+ and the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) alcohol use disorder (AUD) and other drug use disorder (ODUD) across sexual identity subgroups. Methods: Data were from the National Epidemiologic Survey on Alcohol and Related Conditions-III (n = 36,309 non-institutionalized U.S. adults aged ≥ 18 years). Data collection occurred in households using structured diagnostic face-to-face interviews during 2012-2013. Results: The presence of FH+ in first- and second-degree relatives was most prevalent among bisexual women relative to all other sexual orientation subgroups. Multivariable regression analyses indicated that the odds of AUD and ODUD were higher among FH+ adults relative to negative family history (FH-) adults. Lesbian and bisexual women had higher odds of AUD compared to heterosexual women, controlling for any FH+; this sexual identity difference was not found for men. There were no significant differences in ODUD between heterosexual FH- men and gay FH- men. We found differences in AOD misuse among offspring of bisexual parents, but not gay or lesbian parents compared to heterosexual parents. Conclusions: Health professionals should consider the higher likelihood of a family history of AOD misuse among sexual minorities, especially bisexual women, when treating these individuals. The lack of differences in AOD misuse among offspring of gay or lesbian parents relative to heterosexual parents warrants attention for legal, policy, and clinical decisions.

An empirical evaluation of alternative approaches to adjusting for attrition when analyzing longitudinal survey data on young adults' substance use trajectories.

OBJECTIVES: Longitudinal survey data allow for the estimation of developmental trajectories of substance use from adolescence to young adulthood, but these estimates may be subject to attrition bias. Moreover, there is a lack of consensus regarding the most effective statistical methodology to adjust for sample selection and attrition bias when estimating these trajectories. Our objective is to develop specific recommendations regarding adjustment approaches for attrition in longitudinal surveys in practice. METHODS: Analyzing data from the national U.S. Monitoring the Future panel study following four cohorts of individuals from modal ages 18 to 29/30, we systematically compare alternative approaches to analyzing longitudinal data with a wide range of substance use outcomes, and examine the sensitivity of inferences regarding substance use prevalence and trajectories as a function of college attendance to the approach used. RESULTS: Our results show that analyzing all available observations in each wave, while simultaneously accounting for the correlations among repeated observations, sample selection, and attrition, is the most effective approach. The adjustment effects are pronounced in wave-specific descriptive estimates but generally modest in covariate-adjusted trajectory modeling. CONCLUSIONS: The adjustments can refine the precision, and, to some extent, the implications of our findings regarding young adult substance use trajectories.

A Web-Based Event History Calendar Approach for Measuring Contraceptive Use Behavior.

Event history calendars (EHCs) are frequently used in social measurement to capture important information about the time ordering of events in people's lives, and enable inference about the relationships of the events with other outcomes of interest. To date, EHCs have primarily been designed for face-to-face or telephone survey interviewing, and few calendar tools have been developed for more private, self-administered modes of data collection. Web surveys offer benefits in terms of both self-administration, which can reduce social desirability bias, and timeliness. We developed and tested a web application enabling the calendar-based measurement of contraceptive method use histories. These measures provide valuable information for researchers studying family planning and fertility behaviors. This study describes the development of the web application, and presents a comparison of data collected from online panels using the application with data from a benchmark face-to-face survey collecting similar measures (the National Survey of Family Growth).