Hispanic Ethnicity and Fertility Outcomes.

OBJECTIVE: To assess the association between ethnicity and fertility outcomes for men in a statewide cohort. METHODS: We linked data from the Utah Population Database and Subfertility Health Assisted Reproduction and Environment database, to comprise a cohort of sub-fertile men who underwent semen analysis between 1998 and 2017 in Utah. A multivariable Cox proportional hazard model was constructed to understand the impact of ethnicity on fertility outcomes in our cohort. RESULTS: A total of 11,363 men were included. 1039 (9.1%) were Hispanic. 39.7% of men in the lowest socioeconomic status group were Hispanic (P <.001). When controlling for demographic and clinical factors, the number of live births was reduced for Hispanic men (hazard ratios [HR] = 0.62 [0.57-0.67], P <.001). Though fertility treatment had a positive effect (HR 1.242 [1.085-1.421], P <.001), in competing risks models, Hispanic men were less likely to use fertility treatment (HR = 0.633 [0.526-0.762], P <.001). CONCLUSION: Hispanic ethnicity is significantly associated with a lower likelihood of successful fertility outcomes in Utah. Hispanic men had nearly a 40% reduced likelihood of live births when controlling for sociodemographic factors. Our results indicate that, depending on age, Hispanic men have up to approximately 14 fewer live births per 100 men per year, pointing to a significant disparity in fertility outcomes in the state of Utah. Given 15.1% of Utah's population identifies as Hispanic and 18.7% of the United States population identifies as Hispanic on the 2020 Census, a better understanding of the association of ethnicity and fertility outcomes is imperative.

The impact of socioeconomic status on bulk semen parameters, fertility treatment, and fertility outcomes in a cohort of subfertile men.

OBJECTIVE: To study the effect of socioeconomic status on the use of fertility treatment and the rate of live birth in men with subfertility. DESIGN: A retrospective, time-to-event analysis of men with subfertility in Utah stratified by socioeconomic status. SETTING: Patients seen in fertility clinics throughout Utah. PATIENT(S): All men in Utah undergoing semen analysis between 1998 and 2017 at the state's 2 largest health care networks. INTERVENTION(S): Socioeconomic status (defined as area deprivation index of patients' residential location). MAIN OUTCOME MEASURE(S): Categorical use of fertility treatment, the count of fertility treatments (in patients with ≥1 treatment), and live birth after semen analysis. RESULT(S): When controlling for age, ethnicity, and semen parameters (count and concentration), men from low socioeconomic areas were only 60%-70% as likely to use fertility treatment depending on type compared with men from high socioeconomic areas (intrauterine insemination [IUI] hazards ratio [HR] = 0.691 (0.581-0.821), P<.001; in vitro fertilization [IVF] HR = 0.602 (0.466-0.778), P<.001). Of men undergoing fertility treatment, those from low socioeconomic areas had 75%-80% the number of treatments as men from high socioeconomic areas depending on type (IUI incident rate ratio = 0.740 (0.645-0.847), P<.001; IVF incident rate ratios = 0.803 (0.585-1.094), P=.170). When controlling for age, ethnicity, semen parameters, and use of fertility treatment, men from low socioeconomic areas were only 87% as likely to experience a live birth as men from high socioeconomic areas (HR = 0.871 (0.820-0.925), P<.001). Given the overall higher likelihood of live birth in men from high socioeconomic areas, as well as their greater chance of using fertility treatment, we predicted an annual disparity of 5 additional live births in high socioeconomic men compared with low for every 100 men. CONCLUSION(S): Men from low socioeconomic areas undergoing semen analyses are significantly less likely to use fertility treatment and experience a live birth than their counterparts from high socioeconomic areas. Mitigation programs to increase access to fertility treatment may help to reduce this bias; however, our results suggest that additional discrepancies beyond fertility treatment require addressing.

Infant sleep and feeding patterns are associated with maternal sleep, stress, and depressed mood in women with a history of major depressive disorder (MDD).

Our goal was to examine associations of infant sleep and feeding patterns with maternal sleep and mood among women at risk for postpartum depression. Participants were 30 women (age ± SD = 28.3 ± 5.1 years) with a history of MDD (but not in a mood episode at enrollment) who completed daily sleep diaries, wore wrist actigraphs to estimate sleep, and had their mood assessed with the Hamilton Depression Rating Scale (HAM-D-17) during four separate weeks of the perinatal period (33 weeks pregnancy and weeks 2, 6, and 16 postpartum). They logged their infants' sleep and feeding behaviors daily and reported postnatal stress on the Childcare Stress Inventory (CSI) at week 16. Mothers' actigraphically estimated sleep showed associations with infant sleep and feeding patterns only at postpartum week 2. Shorter duration of the longest infant-sleep bout was associated with shorter maternal sleep duration (p = .02) and lower sleep efficiency (p = .04), and maternal sleep efficiency was negatively associated with the number of infant-sleep bouts (p = .008) and duration of infant feeding (p = .008). Neither infant sleep nor feeding was associated with maternal sleep at 6 or 16 weeks, but more disturbed infant sleep and more frequent feeding at 6 weeks were associated with higher HAM-D scores at 6 and 16 weeks and higher CSI scores. Sleep in the mother-infant dyad is most tightly linked in the early postpartum weeks, but mothers continue to experience disturbed sleep and infant sleep and feeding behaviors continue to be associated with mothers' depressive symptoms and stress ratings as long as 16 weeks postpartum. These data imply that interventions designed to improve maternal sleep and postpartum mood should include both mothers and infants because improving infant sleep alone is not likely to improve maternal sleep, and poor infant sleep is linked to postpartum depression and stress.