This study sought to examine the association between prospective suicidal behavior and variability, intensity, and persistence of suicidal ideation (SI) in bipolar disorder (BD).Data were drawn from the Systematic Treatment Enhancement Program for Bipolar Disorder (STEP-BD), a naturalistic study of 4360 outpatients 15 years or older with BD. In separate models, logistic regressions with suicidal behavior (first attempt or death by suicide) as the outcome variable and SI variability (fluctuating levels of SI over time, measured as ordinal dispersion of SI score), intensity (median SI score over time in study), or persistence (number of visits with reported SI) as the explanatory variables were used to examine the relationship between SI characteristics and odds of future suicidal behavior events.After adjusting for possible confounders, the odds of prospective suicidal behavior were 1.2 times greater per 10% increase in SI variability. SI persistence was not associated with suicidal behavior. For SI intensity, a median SI score of 'rare/fleeting' or 'several days' of SI was not associated with suicidal behavior, but the odds of prospective suicidal behavior were nearly five times greater for participants with the highest observed median SI intensity score of 'nearly every day'.The findings suggest that, in BD participants, monitoring SI variability may be clinically useful for assessing suicide risk.
Humans have systematic sex differences in brain-related behavior, cognition, and pattern of mental illness risk. Many of these differences emerge during adolescence, a developmental period of intense neurostructural and endocrine change. Here, by creating “movies” of sexually dimorphic brain development using longitudinal in vivo structural neuroimaging, we show regionally specific sex differences in development of the cerebral cortex during adolescence. Within cortical subsystems known to underpin domains of cognitive behavioral sex difference, structural change is faster in the sex that tends to perform less well within the domain in question. By stratifying participants through molecular analysis of the androgen receptor gene, we show that possession of an allele conferring more efficient functioning of this sex steroid receptor is associated with “masculinization” of adolescent cortical maturation. Our findings extend models first established in rodents, and suggest that in humans too, sex and sex steroids shape brain development in a spatiotemporally specific manner, within neural systems known to underpin sexually dimorphic behaviors.
The relationship between burden of disease and research funding has been examined cross-sectionally, but temporal patterns have not been investigated. It is logical to assume that temporal improvements in disability-adjusted life-years (DALYs) reflect benefits from research funding; such assumptions are tempered by an unknown lag time for emergence of benefits from research.We studied National Institutes of Health (NIH) research fund allocations and United States DALY estimates for overlapping disease categories (matched disease categories, MDC, N = 38). Using a general linear model, we separately analysed DALYs for MDCs in 2017 in relation to NIH research allocations in 2017 and 2007. We also examined how changes in DALYs were related to cumulative NIH research funding (2006-2017). After regressing DALY change on summed funding, we obtained model residuals as estimates of the discrepancy for each MDC between observed and expected change in burden, given funding.In 2017, there was a positive association between NIH research fund allocations and DALYs for the same year (F1,36 = 16.087, p = 0.0002921; slope = 0.35020; model R2 = 0.3088), suggesting proportionate allocation. There was a positive association between 2017 DALYs and 2007 NIH research allocation, implying a beneficial impact of research (F1,36 = 15.754, p = 0.0003; slope = 0.8845; model R2 = 0.3044). In contrast, there was a nonsignificant association between summed NIH funding and percent change in DALYs over 2006-2017 (F1,36 = 0.199; p = 0.65; beta coefficient = -1.144). When MDCs were ordered based on residuals, HIV/AIDS ranked first. Mental, neurologic or substance abuse (MNS) disorders comprised most residuals in the lower half.NIH fund allocation is proportional to DALYs for MDCs. Temporal changes in DALYs vary by MDCs, but they are not significantly related to cumulative research outlays. Further analysis of temporal changes in DALYs could help to inform research outlays for MDCs and to study the impact of research.
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