Objective: This article outlines for family scholars and researchers designing surveys or searching for data on sexual and gender-diverse (SGD) families the latest methodological advancements in United States population-based surveys for studying SGD partnerships by reviewing five recently collected, publicly available, population-representative data sets. Background: LGBTQIA+ adults and SGD partnerships are an expanding demographic group in the United States. Yet, measurement limitations have restricted studies of these partnerships that use population-based studies. To address this issue, researchers designing population-representative data collections have adopted new strategies to measure SGD partnerships accurately. However, most population representative surveys continue to lack data on growing segments of the LGBTQIA+ population by relying solely on the sex of partners or limited sexual and gender identity measures. Conclusion: We recommend expanding population-based surveys to incorporate inclusive measures of sexual and gender identity, directly asking about the gender composition of a couple and measurement of cohabiting and other nonmarital relationships. These approaches are especially important for understanding relationships among younger populations who do not follow heteronormative relationship trajectories and hold diverse gender and sexual identities. Implications: Although the research opportunities on SGD individuals and partnerships are expanding; researchers must remain mindful of the limitations of current data sets and advocate for updates to the United States population data infrastructure.

We tested the prospective associations between coparenting relationship quality and breastfeeding duration among 164 dual-earner, cisgender, heterosexual couples identifying as mothers and fathers at the transition to parenthood. We hypothesized that mothers who perceived higher quality (more supportive and less undermining) coparenting relationships would breastfeed for a longer duration. At 3 months after childbirth, mothers reported their perceptions of coparenting relationship quality using the Coparenting Relationship Scale. Mothers reported their breastfeeding behaviors at four time points—when their infant was 3, 6, 9 months and 12–36 months old. Survival analysis revealed that higher quality coparenting relationships were associated with longer breastfeeding duration. This association was only observed among families of girls. This study highlights the interactive role of coparenting relationship quality and infant sex as proximal contexts that may shape breastfeeding practices.

Emotional support, particularly support from family and friends, is essential to health outcomes especially for marginalized communities. Although emotional support is recognized as a critical resource, especially during the COVID-19 pandemic, to date no research has examined access to support during the pandemic for sexual diverse populations. This study aims to apply minority stress theory by drawing on a new population-based data source of 3,642 respondents, the National Couples’ Health and Time Study (NCHAT), which oversampled sexual and gender diverse populations during the pandemic. We focus on two sources of emotional support: family members and friends. Exclusively heterosexual respondents relied more on emotional support from family than respondents who identified as exclusively gay/lesbian, bisexual including pan, omni, and queer, and those reporting another sexual identity or multiple sexual identities. However, respondents who did not identify as heterosexual relied more on emotional support from friends compared to exclusively heterosexual respondents. There were no significant differences among respondents with sexual minority identities in regard to family or friend support. Other factors, such as outness to friends and family, identity centrality, aggressions, and relationship satisfaction are found to be associated support from friends and family. The findings presented here add to a growing body of work on social support while adding sexual minority-specific factors that may affect receipt of, need for, and outcomes relating to support. This work contributes to understanding of the social climate and resources available to sexual diverse populations during a major public health crisis.

The National Couples’ Health and Time Study (NCHAT) is the first fully-powered, population-representative study of couples in America containing large samples of sexual, gender, and racial and ethnic diverse individuals. Drawn from the Gallup Panel and the Gallup Recontact Sample, when weighted, the data are population representative of individuals in the United States who 1) are married or cohabiting, 2) are between 20 and 60, 3) speak English or Spanish, and 4) have internet access. The data were collected between September 2020 and April 2021 in the midst of a global pandemic as well as racial and political upheaval. NCHAT includes surveys of 3,642 main respondents and 1,515 partners along with time diaries. We describe the sampling process, challenges weighting a diverse population-representative samples, and sociodemographic characteristics of the NCHAT. These data will provide opportunities for new research on the health and well-being of American families.

Parental leave has been linked to numerous positive child and family outcomes, yet little is known about which new mothers and fathers take longer parental leaves. Using structural equation modeling, we examined the financial, demographic, identity-relevant, and job characteristics that predict the duration of maternity and paternity leave in a community sample of 130 U.S. dual-earner couples who were followed across their transition to parenthood in 2008–2009. The findings show that financial characteristics, especially paid leave, are important for leave duration for both parents. In addition, identity-relevant and demographic characteristics mattered to length of paternity leave, whereas job characteristics were relevant to length of maternity leave. For fathers, longer leaves were associated with a greater proportion of paid leave, older paternal age, having a less planned pregnancy, and lower endorsement of maternal essentialism. For mothers, longer leaves were associated with a greater proportion of paid leave, higher household income, and lower job satisfaction. Together, these predictors explained 21% of the variance in maternity leave duration and 30% of the variance in paternity leave duration. In order for all U.S. parents, including fathers and low-income mothers, to reap the benefits of parental leave, financially incentivized leave would be most beneficial.

This study examined the longitudinal associations between fathers’ observed parenting behaviors and father-infant attachment (n = 58 father-infant dyads). Fathers were observed playing with their infants at 9 months postpartum and were assessed for stimulating behaviors (i.e. physical and/or object stimulation), as well as their sensitivity and intrusiveness. When the infants were 12 to 18 months of age, fathers and infants participated together in the Strange Situation Procedure (SSP) to assess father-infant attachment security. Logistic regression analyses revealed that higher levels of paternal stimulation at 9 months postpartum were associated with greater odds of classification as a secure father-infant dyad. Additionally, fathers’ observed intrusiveness at 9 months postpartum moderated this association; greater paternal stimulation was associated with significantly greater odds of father-infant attachment security at low and average levels of paternal intrusiveness, but not at high levels of paternal intrusiveness. This study provides new insight into the paternal behaviors that may foster secure father-infant attachment.

This tutorial shows how to implement time-dependent cohort state-transition models (cSTMs) to conduct cost-effectiveness analyses (CEA) in R, where transition probabilities and rewards vary by time. We account for two types of time dependency: time since the start of the simulation (simulation-time dependency) and time spent in a health state (state residence dependency). We illustrate how to conduct a CEA of multiple strategies based on a time-dependent cSTM using a previously published cSTM, including probabilistic sensitivity analyses. We also demonstrate how to compute various epidemiological outcomes of interest from the outputs generated from the cSTM, such as survival probability and disease prevalence. We demonstrate both the mathematical notation and the R code to execute the calculations. This tutorial builds upon an introductory tutorial that introduces time-independent cSTMs using a CEA example in R. We provide an up-to-date public code repository for broader implementation.

As divorce and cohabitation dissolution in the US have increased, partnering has expanded to the point that sociologists describe a merry-go-round of partners in American families. Could one driver of the increase in the number of partners be an intergenerational transmission of partnering? We discuss three theoretical perspectives on potential mechanisms that would underlie an intergenerational transmission of partnering: the transmission of economic hardship, the transmission of marriageable characteristics and relationship skills, and the transmission of relationship commitment. Using the National Longitudinal Survey of Youth 1979 Child and Young Adult study (NLSY79 CYA) and their mothers in the National Longitudinal Survey of Youth 1979 (NLSY79), we examined the intergenerational transmission of partnering, including both marital and cohabitating unions, using prospective measures of family and economic instability as well as exploiting sibling data to try to identify potential mechanisms. Even after controlling for maternal demographic characteristics and socioeconomic factors, the number of maternal partners was positively associated with offspring's number of partners. Hybrid sibling Poisson regression models that examined sibling differential experiences of maternal partners indicated that there were no differences between siblings who witnessed more or fewer maternal partners. Overall, results suggested that the transmission of poor marriageable characteristics and relationship skills from mother to child may warrant additional attention as a potential mechanism through which the number of partners continues across generations.

The theory of the second demographic transition argues that as educated Americans began valuing self-actualization and individual autonomy, delays in union formation spread through the US. The accelerated adulthood theory suggests that socioeconomic disadvantage distinguishes young adulthood such that those with fewer resources have shorter, more informal (i.e. cohabitation) unions, and those with more resources delay but achieve marriage and have greater union stability. We use two large, nationally representative samples of young adults collected about twenty years apart, the National Longitudinal Surveys of Youth 1979 and 1997 cohorts to examine cohort differences in union formation and dissolution and test interaction effects in demographic and socioeconomic correlates. We found that the NLSY97 cohort 1) entered into unions earlier than the NLSY79 cohort, 2) entered direct marriage (marriage without premarital cohabitation) later than the NLSY79 cohort, and 3) entered cohabiting unions earlier than the NLSY79 cohort. A greater proportion of young adults in the NLSY97 cohort dissolved their first union between ages 16 and 30. We found that socioeconomically disadvantaged young adults had earlier unions by some indicators (e.g. lower maternal education) and later unions by other indicators (e.g. unemployment) in both cohorts. We also found that in both cohorts, socioeconomic disadvantage undermined union stability. We also found evidence for interaction effects; some indicators of socioeconomic disadvantage (e.g. income, employment, and maternal education) had exacerbated effects on union formation and stability in the NLSY97 as compared to the NLSY79 cohorts perhaps because inequality grew over the twenty years between cohorts.

High-quality father involvement in childrearing is associated with positive child outcomes. Yet, variability between fathers in parenting quality remains. The present study examined associations between maternal gatekeeping and fathers’ observed parenting quality in 182 dual-earner families who transitioned to parenthood in 2008–2009. Maternal gatekeeping, or beliefs and behaviors that may serve to discourage (gate close) or encourage (gate open) father involvement in childrearing, was measured using fathers’ reports at 3- and 9-months postpartum. Fathers’ parenting quality was assessed during a brief observational task at 3- and 9-months postpartum. A cross-lagged structural equation model, which included repeated measures of maternal gate closing, gate opening, and fathers’ parenting quality (i.e., sensitivity, detachment, and positive regard) at 3- and 9-months postpartum, revealed associations between maternal gatekeeping and fathers’ parenting quality. In particular, fathers who experienced greater gate closing at 3-months postpartum showed greater relative declines in parenting quality at 9-months postpartum. Of note, maternal gate opening at 3-months postpartum was not associated with fathers’ parenting quality at 9-months postpartum. Additionally, paths from fathers’ parenting quality at 3-months postpartum to maternal gatekeeping at 9-months postpartum were not significant. This is the first study to examine longitudinal associations between maternal gatekeeping and fathers’ parenting quality.

SYNOPSIS: Objective. To better understand the antecedents of fathers’ positive engagement and child externalizing behaviors, we examined the roles of maternal coparenting attitudes and fathers’ prenatal intuitive parenting behaviors in predicting fathers’ positive engagement and toddler externalizing behaviors. Design. One hundred and eighty-two dual-earner families residing in Columbus, Ohio, were recruited when parents were expecting their first child. They were followed across the transition to parenthood and assessed at the third trimester (Time 1), 3 months postpartum (Time 2), 9 months postpartum (Time 3), and when the child reached approximately 27 months of age (Time 4). Mothers reported their perceptions of their partners’ parenting competence (i.e., coparenting attitudes) and their children’s externalizing behaviors at Times 2 and 4, respectively. Fathers reported their own positive engagement at Times 2 and 3. Fathers’ intuitive parenting behaviors were observed at Time 1. Results. After controlling for fathers’ positive engagement at Time 2, maternal endorsement of fathers’ parenting competence positively predicted fathers’ positive engagement at Time 3, especially for fathers who displayed average or high levels of prenatal intuitive parenting behaviors. For families with fathers who displayed average or above-average intuitive parenting behaviors, maternal endorsement of fathers’ parenting competence was negatively associated with children’s externalizing behaviors through its positive association with fathers’ positive engagement. Conclusions. Maternal coparenting attitudes in conjunction with fathers’ prenatal intuitive parenting predicted toddler externalizing behaviors through their association with fathers’ positive engagement.

Marriage has significantly changed since Becker proposed his specialization model yet some scholars maintain that specialization characterizes modern couples. Specialization occurs when one partner, traditionally the man, concentrates on market work while the other partner, traditionally the woman, focuses on nonmarket work such as housework or childcare. Using innovative time diary data from primarily highly-educated, White, dual-earner U.S. couples, we examine how couples manage their time in market and household work and leisure across a momentous, gendered life course turning point—the transition to parenthood. We find little evidence of specialization, but stronger evidence of nonspecialization where both partners concurrently engaged in market work or leisure. Yet gender still mattered. Men enjoyed more leisure time, particularly on nonworkdays, whereas their partners performed more nonmarket work. Our study is the first known to uncover exactly what men were doing while women performed additional minutes of housework and childcare. On nonworkdays, fathers engaged in leisure 47% and 35% of the time during which mothers performed childcare and routine housework, respectively. Mothers engaged in leisure only about 16% to 19% of the time that fathers performed childcare and routine housework. In sum, although our study challenges economic theories of specialization by suggesting that nonspecialization is the norm for new parents’ time among highly-educated, dual-earner couples, persistent gender inequalities continue to characterize family work and leisure time.

Microsimulation models are becoming increasingly common in the field of decision modeling for health. Because microsimulation models are computationally more demanding than traditional Markov cohort models, the use of computer programming languages in their development has become more common. R is a programming language that has gained recognition within the field of decision modeling. It has the capacity to perform microsimulation models more efficiently than software commonly used for decision modeling, incorporate statistical analyses within decision models, and produce more transparent models and reproducible results. However, no clear guidance for the implementation of microsimulation models in R exists. In this tutorial, we provide a step-by-step guide to build microsimulation models in R and illustrate the use of this guide on a simple, but transferable, hypothetical decision problem. We guide the reader through the necessary steps and provide generic R code that is flexible and can be adapted for ...

Genome-wide association studies (GWAS) have identified >250 loci for body mass index (BMI), implicating pathways related to neuronal biology. Most GWAS loci represent clusters of common, noncoding variants from which pinpointing causal genes remains challenging. Here we combined data from 718,734 individuals to discover rare and low-frequency (minor allele frequency (MAF) < 5%) coding variants associated with BMI. We identified 14 coding variants in 13 genes, of which 8 variants were in genes (ZBTB7B, ACHE, RAPGEF3, RAB21, ZFHX3, ENTPD6, ZFR2 and ZNF169) newly implicated in human obesity, 2 variants were in genes (MC4R and KSR2) previously observed to be mutated in extreme obesity and 2 variants were in GIPR. The effect sizes of rare variants are ~10 times larger than those of common variants, with the largest effect observed in carriers of an MC4R mutation introducing a stop codon (p.Tyr35Ter, MAF = 0.01%), who weighed ~7 kg more than non-carriers. Pathway analyses based on the variants associated with BMI confirm enrichment of neuronal genes and provide new evidence for adipocyte and energy expenditure biology, widening the potential of genetically supported therapeutic targets in obesity.

As the complexity of health decision science applications increases, high-level programming languages are increasingly adopted for statistical analyses and numerical computations. These programming languages facilitate sophisticated modeling, model documentation, and analysis reproducibility. Among the high-level programming languages, the statistical programming framework R is gaining increased recognition. R is freely available, cross-platform compatible, and open source. A large community of users who have generated an extensive collection of well-documented packages and functions supports it. These functions facilitate applications of health decision science methodology as well as the visualization and communication of results. Although R’s popularity is increasing among health decision scientists, methodological extensions of R in the field of decision analysis remain isolated. The purpose of this article is to provide an overview of existing R functionality that is applicable to the various stages o...

Understanding the determinants of marital timing is critical because it has implications for marital functioning and divorce. One salient predictor of marital timing is youth's desires for marriage timing. To shine light on predictors of both desires for marital timing and the timing of marriage itself, we examine offspring marital desires and maternal marriage characteristics in the National Longitudinal Survey of Youth, 1979 (NLSY79) cohort and 1979 Child and Young Adult cohort (NLSY79-CYA; biological offspring of the women in the 1979 cohort). Analyses showed that maternal cohabitation postdivorce predicted decreased expectations to ever marry in offspring. Maternal age at marriage was positively associated with offspring desires for age at marriage, but only for those whose mothers had not divorced. Maternal marital age was significantly associated with the offspring's transition into marriage even when controlling for the offspring's desires for marriage timing, but neither maternal marriage age nor offspring desires for marital timing were associated with the timing of entrance into cohabitation, whereas maternal divorce was associated with earlier cohabitation. Our findings suggest that maternal marriage characteristics, particularly divorce, are significant predictors of millennials' desires for and experiences with romantic relationships.

The paper reports on a study which tested whether infants high in negative affectivity are differentially susceptible to observed coparenting behavior in relation to their subsequent social-emotional development. Data came from a longitudinal study of 182 US dual-earner, primiparous couples and their infant children. At nine-months postpartum, child negative affectivity was reported by mothers and fathers and supportive and undermining coparenting behavior were assessed from mother-father-infant observations. At 27-months mothers reported on toddlers' externalizing behavior and dysregulation using a clinical assessment tool designed to identify competencies and areas of concern in toddlers' social-emotional development. Hierarchical regression analyses revealed partial support for the differential susceptibility hypothesis. Specifically, infants high in negative affectivity had lower levels of dysregulation when embedded in a more supportive coparenting context, and higher levels of dysregulation when embedded in a less supportive coparenting context. In contrast, supportive coparenting behavior was not relevant for the dysregulation of infants initially low in negative affectivity.