The dynamic interplay between sleep and mood: an intensive longitudinal study of individuals with bipolar disorder

From cross-lagged effects to feedback effects: Further insights into the estimation and interpretation of bidirectional relations

Bidirectional relations have long been of interest in psychology and other social behavioral sciences. In recent years, the widespread use of intensive longitudinal data has provided new opportunities to examine dynamic bidirectional relations between variables. However, most previous studies have focused on the effect of one variable on the other (i.e., cross-lagged effects) rather than the overall effect representing the dynamic interplay between two variables (i.e., feedback effects), which we believe may be due to a lack of relevant methodological guidance. To quantify bidirectional relations as a whole, this study attempted to provide guidance for the estimation and interpretation of feedback effects based on dynamic structural equation models. First, we illustrated the estimation procedure for the average and person-specific feedback effects. Then, to facilitate the interpretation of feedback effects, we established an empirical benchmark by quantitatively synthesizing the results of relevant empirical studies. Finally, we used a set of empirical data to demonstrate how feedback effects can help (a) test theories based on bidirectional relations and (b) reveal correlates of individual differences in bidirectional relations. We also discussed the broad application prospects of feedback effects from a dynamic systems perspective. This study provides guidance for applied researchers interested in further examining feedback effects in bidirectional relations, and the shift from focusing on cross-lagged effects only to a comprehensive consideration of feedback effects may provide new insights into the study of bidirectional relations.

The role of student-teacher relationships in the association between negative parenting practices and emotion dynamics - Combining longitudinal and ecological momentary assessment data

Emotion dysregulation is increasingly implicated as a transdiagnostic risk factor in the etiology of mental health problems. This project aimed to explore the links between emotion regulation, negative parenting and student-teacher relationships using longitudinal and ecologically valid data. A sample of n = 209 young people enrolled in the 'Decades-to-Minutes' (D2M) study, based in Zurich, Switzerland, provided data from the ages of 7-20 via parent- and self-report questionnaires and ecological momentary assessment. Data were analyzed using Dynamic Structural Equation Modeling (DSEM). Worse student-teacher relationships predicted increased negative affectivity and emotional lability. Negative parenting practices predicted emotional lability only via their impact on student-teacher relationships. The findings point to worse student-teacher relationships as risk factors in the socioemotional development of children and young people.

Specificity of affective dynamics of bipolar and major depressive disorder

OBJECTIVE

Here, we examine whether the dynamics of the four dimensions of the circumplex model of affect assessed by ecological momentary assessment (EMA) differ among those with bipolar disorder (BD) and major depressive disorder (MDD).

METHODS

Participants aged 11-85 years (n = 362) reported momentary sad, anxious, active, and energetic dimensional states four times per day for 2 weeks. Individuals with lifetime mood disorder subtypes of bipolar-I, bipolar-II, and MDD derived from a semistructured clinical interview were compared to each other and to controls without a lifetime history of psychiatric disorders. Random effects from individual means, inertias, innovation (residual) variances, and cross-lags across the four affective dimensions simultaneously were derived from multivariate dynamic structural equation models.

RESULTS

All mood disorder subtypes were associated with higher levels of sad and anxious mood and lower energy than controls. Those with bipolar-I had lower average activation, and lower energy that was independent of activation, compared to MDD or controls. However, increases in activation were more likely to perpetuate in those with bipolar-I. Bipolar-II was characterized by higher lability of sad and anxious mood compared to bipolar-I and controls but not MDD. Compared to BD and controls, those with MDD exhibited cross-augmentation of sadness and anxiety, and sadness blunted energy.

CONCLUSION

Bipolar-I is more strongly characterized by activation and energy than sad and anxious mood. This distinction has potential implications for both specificity of intervention targets and differential pathways underlying these dynamic affective systems. Confirmation of the longer term stability and generalizability of these findings in future studies is necessary.

Weekly telephone mood monitoring is associated with decreased suicidality and improved sleep quality in a clinical sample

Sleep disturbances and suicidality are common presentations of mood and anxiety disorders. If not closely monitored post-discharge, patients may be at an increased risk of symptom worsening and completed suicide. We explored the associations between telephone mood monitoring, suicidality, and sleep quality in a clinical sample. Fifty inpatients (mean age = 39.49, SD = 11.17; female = 74%) with a mood and/or anxiety disorder were telephonically monitored weekly post-discharge for16 weeks for depression and mania. Suicidality and sleep quality were assessed at intake (pre-discharge), and at weeks 4, 8, 12, and 16 post-discharge. ANOVA indicated that suicidality significantly decreased, and sleep quality improved over 16 weeks. Linear regression analysis indicated that depression severity at week 1 post-discharge significantly predicted suicidality and sleep quality at week 16. Mania severity at week 1 post-discharge predicted sleep quality, but not suicidality, at week 16. Participants generally had positive experiences of the monitoring and perceived it as helpful. Monitoring of mood state, suicidality, and sleep quality post-discharge may allow for early detection of relapse when initiated at 1-week post-discharge. This is a potentially cost-effective intervention and may relieve the burden on the mental healthcare system, especially when face-to-face consultations are not possible.