Journal of affective disorders最新文献

Background: Although theory and research implicate self-criticism as a risk factor for non-suicidal self-injury (NSSI), the nature of this association in daily life remains unclear. This study used ecological momentary assessment (EMA) to address whether (1) trait and state self-criticism elevate the risk of NSSI, (2) state self-criticism predicts NSSI behavior in real-time via increased NSSI urge intensity, and (3) the risk pattern extends to disordered eating (DE; binge eating, purging, restrictive eating).

Methods: A total of 125 treatment-seeking individuals who self-injure (87.20% female; M_age = 22.98, SD = 5.32) completed measures of trait self-criticism at intake, followed by six daily assessments for 28 days (15,098 assessments; median compliance = 78.6%) measuring self-critical thoughts, NSSI, and DE. Multilevel vector autoregressive models were constructed within a dynamic structural equation modeling framework.

Results: Patients who reported higher mean state self-critical thoughts experienced more intense NSSI urges and an increased risk for NSSI behavior during the 28-day EMA period. Higher-than-usual self-critical thoughts predicted NSSI urge intensity and NSSI behavior within the following 2 h. NSSI urge intensity partially mediated the effect of self-critical thoughts on NSSI behavior. Trait self-criticism did not predict comorbid DE, but mean state self-critical thoughts were associated with binge eating and restrictive eating. The within-person risk pattern of self-criticism generally extended to DE, with full mediation via DE urges for purging and restrictive eating, but not binge eating.

Conclusions: Self-criticism is a real-time predictor of NSSI and comorbid DE. These findings underscore the relevance of monitoring self-criticism outside the therapy room, as it may be an important treatment target.

Background: Prenatal and postpartum depression may be influenced by the composition of host associated microbiomes. As such, the objective of this study was to elucidate the relationship between the human gut or vaginal microbiomes in pregnancy with prenatal or postpartum depression.

Methods: 140 female participants were recruited at their first prenatal visit and completed the Edinburgh Postnatal Depression Scale (EPDS) to screen for depression and anxiety, in addition the EPDS was completed one month postpartum. Vaginal and stool biospecimens were collected in the third trimester, analyzed using 16S rRNA gene sequencing, and assessed for alpha and beta diversity. Individual taxa differences and clustering using the k-medoids algorithm enabled community state type classification.

Results: Participants with higher postpartum EPDS scores had higher species richness and lower abundance of L. crispatus in the vaginal microbiota compared to those with lower EPDS scores. Participants with a higher prenatal EPDS score had lower species richness of the gut microbiome. Participants with a vaginal community state type dominated by L. iners had the highest mean prenatal EPDS scores, whereas postpartum EPDS scores were similar regardless of prenatal vaginal state type.

Limitations: Our small sample size and participant's self-report bias limits generalizability of results.

Conclusions: Depression in the prenatal and postpartum period is associated with the composition and diversity of the gut and vaginal microbiomes in the third trimester of pregnancy. These results provide a foundational understanding of the microbial relationships between maternal health and depression for identifying potential therapeutic treatments.

Introduction: Osteoporosis, a significant public health concern, affects millions of adult women globally, leading to increased morbidity and fracture risk. Antidepressant use, prevalent in this demographic, is suggested to influence bone mineral density (BMD), yet evidence remains limited across antidepressant classes.

Objective/aim: We investigated the association between antidepressant use and osteoporosis in a representative sample of adult women in the United States, focusing on different classes of antidepressants and their potential associations with BMD and fracture risk.

Methods: We conducted a cross-sectional analysis using data from ten cohorts of the National Health and Nutrition Examination Survey (NHANES) spanning 1999-2000 to 2017-2020. The sample included adult women, with data collected on antidepressant use, BMD scores, and reported fractures. Statistical models adjusted for potential confounders such as Major Depressive Disorder (MDD), age, physical activity, and comorbidities.

Results: Antidepressant use was associated with a 44 % increase in the odds of osteoporosis. Phenylpiperazines showed the highest association, followed by miscellaneous antidepressants and tricyclic antidepressants (TCAs). Selective serotonin reuptake inhibitors (SSRIs) and serotonin-norepinephrine reuptake inhibitors (SNRIs) also demonstrated significant, though comparatively lower associations. The odds of fractures were elevated by 62 % among antidepressant users, particularly with phenylpiperazines and miscellaneous antidepressants. A dose-response analysis indicated that both the number and duration of antidepressants were associated with increased odds of osteoporosis.

Conclusion: Our findings underscore the need for heightened awareness of the adverse effects of antidepressants on bone health, particularly in adult women. Careful consideration is necessary when prescribing these medications, especially in populations at risk for osteoporosis and MDD.