Gonadal and adrenal hormones interact with pubertal maturation to predict depressive symptoms in a group of high-school females.

Adolescent females are at elevated risk for the development of depression. In this study, we addressed two questions: Are pubertal hormones associated with adolescent mental health? Might this association depend on pubertal development? We tested the hypothesis that estradiol, which has been associated with adolescent social sensitivity, might interact with pubertal stage to predict depression risk at three time points in ninth and tenth grade. Hormones and pubertal development were measured ninth-grade females. Linear regression analyses were used to predict fall ninth-grade (N = 79), spring ninth-grade (N = 76), and spring tenth-grade (N = 67) Children's Depression Inventory (CDI) scores. The hypothesized model was not statistically significant, but exploratory analyses revealed that two- and three-way interactions incorporating estradiol, puberty (stage and perceived onset), and cortisol predicted current and future CDI scores. Our exploratory model did not predict changes in CDI but did account for future (spring of ninth grade) CDI scores. Specifically, estradiol was positively correlated with fall and spring ninth-grade depressive symptoms in participants with high cortisol who also reported earlier stages and later perceived onset of pubertal development. These findings suggest that hormones associated with sensitivity to the social environment deserve consideration in models of adolescent depression risk.

Chemiluminescent immunoassay overestimates hormone concentrations and obscures testosterone sex differences relative to LC-MS/MS in a field study of diverse adolescents.

Background: Methodological comparisons of hormone quantification techniques have repeatedly demonstrated that, in adults, enzyme immunoassay (EIA) inflates steroid hormone concentrations relative to mass spectrometry. However, methodological comparisons in adolescent samples remain rare, and few studies have examined how chemiluminescent immunoassay (CLIA), another popular immunoassay, compares to mass spectrometry. Additionally, no studies have examined how differences in analytical techniques may be affecting relationships between steroid hormone levels and outcomes of interest, such as psychopathology. This pre-registered analysis of an existing dataset measured salivary cortisol and testosterone using both CLIA and liquid chromatography dual mass spectrometry (LC-MS/MS) in a repeated measures (516 samples) sample of 207 9th graders. Methods: In aim 1, this study sought to expand on past findings by 1) measuring inflation of testosterone and cortisol by CLIA in a relatively large adolescent sample, and 2) showing that CLIA (like EIA) testosterone inflation was especially true in groups with low 'true' testosterone levels. In aim 2, this study sought to examine the impact of hormone quantification method on relationships between hormone levels and psychopathological measures (the Children's Depression Inventory, the Perceived Social Stress Scale, the UCLA Loneliness Scale, and the Anxious Avoidant and Negative Self Evaluation subscales of the Social Anxiety Scale for Adolescents). Results: We found that CLIA, like EIA, inflated testosterone and cortisol levels and overestimated female testosterone resulting in suppressed sex differences in testosterone. We did not observe these same patterns when examining testosterone in individuals with differing levels of pubertal development. Results of psychopathology analyses demonstrated no significant method differences in hormone-psychopathology relationships. Conclusions: Our findings show that CLIA introduces proportional bias in cortisol and testosterone in a manner that suppresses sex differences in testosterone. Steroid measurement method did not significantly moderate the relationship between hormones and psychopathology in our sample, though more work is needed to investigate this question in larger, clinical samples.

A dual-system, machine-learning approach reveals how daily pubertal hormones relate to psychological well-being in everyday life.

The two studies presented in this paper seek to resolve mixed findings in research linking activity of pubertal hormones to daily adolescent outcomes. In study 1 we used a series of Confirmatory Factor Analyses to compare the fit of one and two-factor models of seven steroid hormones (n = 994 participants, 8084 samples) of the HPA and HPG axes, using data from a field study (https://www.icpsr.umich.edu/web/ICPSR/studies/38180) collected over ten consecutive weekdays in a representative sample of teens starting high school. In study 2, we fit a Bayesian model to our large dataset to explore how hormone activity was related to outcomes that have been demonstrated to be linked to mental health and wellbeing (self-reports of daily affect and stress coping). Results reveal, first that a two-factor solution of adolescent hormones showed good fit to our data, and second, that HPG activity, rather than the more often examined HPA activity, was associated with improved daily affect ratios and stress coping. These findings suggest that field research, when it is combined with powerful statistical techniques, may help to improve our understanding of the relationship between adolescent hormones and daily measures of well-being.

Preterm infant heart rate is lowered after Family Nurture Intervention in the NICU: Evidence in support of autonomic conditioning.

BACKGROUND: Cardiac complications after premature birth are associated with negative long-term consequences to health. The Family Nurture Intervention (FNI) has been designed to support mother-infant parasympathetic calming sessions in the neonatal intensive care unit (NICU). FNI has shown neurodevelopmental and autonomic benefit across infant development. AIMS: We tested the hypothesis that heart rate (HR) will decrease after FNI over the course of the NICU stay, compared to matched controls. STUDY DESIGN: We used a case-matched design. The intervention included on average four ~1-hour facilitated mother-infant 'calming' sessions per week. We collected 24/7 real time heart rate data from a central monitoring system and analyzed data from two time-periods. SUBJECTS: The intervention group comprised 37 infants born ~30 weeks gestational age (GA) in a level IV NICU, treated with FNI. From the same NICU and time-period, we created a contemporaneous comparison group of 32 infants who were case-matched to each intervention infant for sex, age-at-birth, singleton or twin status, month of admission and length of stay. OUTCOME MEASURES: Using generalized estimating equation (GEE) modeling, we analyzed 24/7 HR data during a 1-hour period between 4:30 and 5:30 am each day in the NICU, when all infants were least disturbed. Using repeated measures ANOVA, we analyzed 24/7 HR data during a 6-week period starting 1 week prior to the start of FNI and ending 5 weeks after start. RESULTS: GEE modeling of the 1-hour data from all subjects showed significant lower HR in the FNI group, compared with controls. ANOVA modeling on a subset of subjects over the five-week period showed that FNI infant HR decreased in a dose-response manner relative to SC HR. CONCLUSION: This study suggests FNI may condition lower infant HR in a dose-response manner during the NICU stay.