Previous functional social and behavioral rhythms affect resilience to COVID-19-related stress among old adults

Dysregulation of mood, energy, and social rhythms syndrome (DYMERS): A working hypothesis

A syndrome centered on the dysregulation of behavioral rhythms (DBR) is discussed. Recent pandemic brought to observe: (1) Having a DBR affecting sleep patterns, eating habits, and social interactions, before the lockdown period, was a determinant for depressive episodes during the lockdown; (2) In tighter lockdowns, DBR triggered depressive episodes in bipolar patients; (3) DBR in healthcare workers under pressure was a determinant of burnout; (4) DBR influenced the course of chronic diseases by altering immune responses. In addition, it was found that scoring positive on the Mood Disorder Questionnaire (MDQ) was closely associated with the dysregulation of sleep rhythms. MDQ is a screening tool for bipolar disorder (BD), criticized for detecting too many false positives. Studies showed that positivity to the MDQ implied a severe impairment of quality of life even in people without psychiatric diagnoses. According to this evidence, three different hyperactivation levels could be proposed (from normality to pathology): firstly, an adaptive increase in energy (e.g. athletes performing well); secondly, a DBR determined from the continuous stimulation of stress hormones, with possible positive scores on the MDQ without a diagnosis of bipolar disorder, like in burnout syndromes and, thirdly, hyperactivity during manic episodes. The Dysregulation of Mood, Energy, and Social Rhythms Syndrome (DYMERS), the second level of the scale, is proposed as a working hypothesis. DYMERS is also seen as a vulnerable condition that may evolve in other disorders (including BD) according to the individual susceptibility (including genetic predisposition) and the specific nature/level of the stressor.

The Stability of Social and Behavioral Rhythms and Unexpected Low Rate of Relevant Depressive Symptoms in Old Adults during the COVID-19 Pandemic

Background: The disruption of social rhythms was found to be associated with depressive disorders during the COVID-19 pandemic; lower rates of these disorders were surprisingly found in old adults. The present study aims to verify the stability of social rhythms during lockdown in a sample of elderly people. Methods: Controlled cohort study (secondary analyses) of a previous randomized-controlled trial with the first evaluation in April 2019 (T0) and then 48 weeks later (T1) during the lockdown. The regulation of social and behavioral rhythms was measured through the Brief Social Rhythms Scale (BSRS); the Patient Health Questionnaire-9 (PHQ9) was adopted to detect relevant depressive symptoms. Results: 93 elderlies (73.36 ± 4.97 years old, 50.5% females) were evaluated at T0 and T1. Neither the total score of BSRS nor any of the 10 items showed a statistically significant difference comparing the two survey periods. The frequency of relevant depressive symptoms was 5.3% at T0 and 6.4% at T1 (OR = 0.8, CI95% 0.2-24). Conclusions: Among elderlies who did not show an increased risk of depression during the lockdown, social and behavioral rhythms remained exceptionally stable during the same period. Considering previous evidence about rhythms dysregulation preceding depression, their stability may be considered a factor of resilience.

Does the Response to a Stressful Condition in Older Adults with Life Rhythm Dysregulations Provide Evidence of the Existence of the "Dysregulation of Mood, Energy, and Social Rhythms Syndrome"?

OBJECTIVE

The COVID-19 lockdown periods have given rise to the "Dysregulation of Mood, Energy, and Social Rhythms Syndrome" (DYMERS). This syndrome is characterized by a poor regulation of biological, social, and behavioral rhythms, including sleep, nutrition, and social contacts. The purpose of this cohort study was to examine whether older adults with pre-existing DYMERS had a more negative perception of their health-related quality of life (H-QoL) during the COVID-19 pandemic lockdown, regardless of the presence of concurrent mood disorders.

METHOD

The entire study population (N = 93; age > 65 year) was categorized based on whether they exhibited dysregulated rhythms at the outset of the study. A comparison was made between DYMERS-positive individuals and DYMERS-negative individuals, and we assessed their H-QoL at the conclusion of the study. We also compared the H-QoL of individuals in the cohort who did not have a positive depression score to understand the impact of the rhythm dysregulation alone.

RESULTS

The frequency of individuals with a critical health-related quality of life score (SF12 < 25) was higher in the cohort with pre-existing DYMERS during lockdown (33.33% vs. 6.17%). This difference remained significant even when only individuals without depressive symptomatology were considered (27.27% vs. 2.60%).

CONCLUSION

The results of this study indicate that DYMERS can exert a substantial influence on health-related quality of life (H-QoL), even when mood disturbances are not present. Additional research is required to investigate the relationship between DYMERS and other psychiatric conditions as well as its nature as a standalone disorder.

The impact of MDQ positivity on quality of life impairment: Does it support the hypothesis of "Dysregulation of Mood, Energy, and Social Rhythms Syndrome" (DYMERS)?

Background

DSM-5 separates bipolar (BD) from depressive disorders, but some experts consider BD as part of a spectrum of mood disorders. The interpretation of numerous false positives of BD screened by the Mood Disorders Questionnaire (MDQ) is part of this debate. Recent study results suggest that the worsening of health-related quality of life (H-Qol) associated with MDQ positivity does not depend solely on mood disorders. This study aims to clarify whether the impairment may be due to other concomitant disorders, unrelated to mood disorders, leading to a worsening of H-Qol. Additionally, the study aims to explore if MDQ positivity itself observe clinical significance.

Design and methods

The study involved pairs of cases (MDQ+) and controls (MDQ-) matched for sex, age, and absence of DSM-IV psychiatric comorbidity. The impact of MDQ positivity on the quality of life in a sample of MDQ+ comorbid with MDD was measured and compared to impact of MDD in other chronic disorders.

Results

The H-Qol was significantly worse in MDQ+ than in controls (both groups without any psychiatric co-morbidity). The worsening was similar to severe chronic disorders The burden of worsening quality of life due to MDD was mild in another sample of MDQ positives with comorbid MDD.

Conclusion

The study hypothesizes that MDQ positivity may be related to hyperactivation and dysregulation of rhythms typical of stress disorders. In fact, MDQ+ was found strongly related to sleep disturbances. Future studies could verify if a "Dysregulation of Mood, Energy, and Social Rhythms Syndrome" (DYMERS), causes worsening the H-Qol in MDQ+.

Does Screening for Bipolar Disorders Identify a "Dysregulation of Mood, Energy, and Social Rhythms Syndrome" (DYMERS)? A Heuristic Working Hypothesis

The aim of this paper is to verify if people with a positive score on the Mood Disorder Questionnaire (MDQ) without comorbidity of mood disorders showed a worse level of Health-related Quality of life (HRQol) compared to a control-matched sample of MDQ negatives, identifying a specific syndrome. This is a case-control study based on a database from a community survey. Cases: MDQ-positive without mood disorders; Controls: MDQ negatives matched by sex, age, and psychiatric diagnosis according to the Diagnostic and Statistical Manual of Mental Disorders IV (DSM-IV) criteria. Tools: MDQ, the Advanced Neuropsychiatric Tools and Assessment Schedule (ANTAS) semi-structured interview for psychiatric diagnosis, and the Health Survey Short Form (SF-12) for measuring HRQol. People scoring positive on the MDQ without a diagnosis of mood disorders showed significantly lower scores on the SF-12 compared to people of the same age and of the same sex with an equal diagnosis of psychiatric disorders not related to mood disorders (35.21 ± 6.30 vs. 41.48 ± 3.39, p < 0.0001). In the debate whether a positive score on the MDQ selects an area of "malaise" due to the presence of disorders differing from Bipolar Disorders, or if a positive score on the MDQ may be considered a "subthreshold" form of bipolar disorder in people who may later develop bipolar disorder, a third hypothesis can be advanced, i.e., that a positive score on the MDQ identifies a specific "Dysregulation of Mood, Energy, and Social Rhythms Syndrome" (DYMERS), characterized by a considerable amount of suffering and not attributable to other disorders, and which might represent a trigger for the previously mentioned disorders with which a positive score on the MDQ is associated, probably including, in severe conditions, bipolar disorder.

Screening, Genetic Variants, and Bipolar Disorders: Can Useful Hypotheses Arise from the Sum of Partial Failures?

Bipolar disorder (BD) is a relevant public health issue, therefore accurate screening tools could be useful. The objective of this study is to verify the accuracy of the Mood Disorder Questionnaire (MDQ) and genetic risk as screeners, and their comparison in terms of reliability. Older adults (N = 61, ≥60 years) received a clinical psychiatric evaluation, the MDQ, and were evaluated according to the presence of the genetic variant RS1006737 of CACNA1C. MDQ+ versus the diagnosis of BD as a gold standard shows a sensitivity of 0.286 (Cl 95% 0.14-0.39); a specificity of 0.925 (Cl 95% 0.85-0.08); a predictive positive value (PPV) of 0.667 (Cl 95% 0.33-0.91); and a predictive negative value (PNV) of 0.702 (Cl 95% 0.65-0.75). The positivity for the variant RS1006737 of the CACNA1C against the diagnosis of BD as a gold standard shows a sensitivity of 0.750 (Cl 95% 0.55-0.90); a specificity of 0.375 (Cl 95% 0.28-0.45); a PPV of 0.375 (Cl 95% 0.28-0.45); and a PNV of 0.750 (Cl 95% 0.55-0.90). The reliability between the MDQ+ and positivity for the variant RS1006737 of the CACNA1C was very low (K = -0.048, Cl 95% -0.20-0.09). The study found that both the genetic and the paper and pencil test were quite accurate, but were not reliable in case finding. In fact, despite some validity, albeit specular (in the case of a positive genetic test, the probability of having the disorder is very high, whereas in the case of a negative score on the paper and pencil test, the probability of not having the disorder is very high), the unreliability of the two tests (i.e., they certainly do not measure the same underlying dimension) opens the door to the need for an interpretation and the possibility of a synergistic use for screening. From a heuristic perspective, which obviously requires all of the necessary verifications, this study seems to suggest the hypothesis that a condition of hyperactivation common to disorders and stress conditions, and identified by a positive score on the MDQ (which is common to BD, post-traumatic stress disorder (PTSD), and anxiety disorders and whose genetic basis has not yet been clarified) can trigger BD in people with a predisposition to hyperactivity (i.e., in people with the condition identified by the analyzed genetic variant).

Development and Validation of the Questionnaire for Adaptive Hyperactivity and Goal Achievement (AHGA)

Objective

This paper illustrates the preliminary psychometric properties of the Questionnaire for Adaptive Hyperactivity and Goal Achievement (AHGA), aimed at measuring adaptive characteristics of hyperactivity and goal pursuit in older adults.

Methods

The 12-item scale was administered to a sample of 120 subjects (older adults) between February 2022 and June 2022. The reliability of AHGA was measured using Cronbach's alpha, and factor structure was established using parallel analysis (PA) and principal component analysis (PCA). Convergent validity was tested against the Biological Rhythms Interview of Assessment in Neuropsychiatry (BRIAN).

Results

All included subjects have an average age of 74.1±5.1 years. AHGA reliability was good (Cronbach's alpha: 0.713 [95%CI: 0.630 to 0.783]). Factor analysis suggested two main components: goal achievement and hyperactivity, which explained 41% of the variance in the data. The results support the convergent validity of the scale: AHGA measures adaptive characteristics of hyperactivity and goal pursuit, in contrast to BRIAN, which measures pathological characteristics.

Conclusion

The reported findings represent an innovative approach to hyperthymic features by embracing a broader spectrum concept that conceptualizes the potential transition between pathological and adaptive aspects as a continuum.

A Recovery-Oriented Program for People with Bipolar Disorder through Virtual Reality-Based Cognitive Remediation: Results of a Feasibility Randomized Clinical Trial

Background: Cognitive impairment is a frequent consequence of bipolar disorder (BD) that is difficult to prevent and treat. In addition, the quality of the preliminary evidence on the treatment of BD through Cognitive Remediation (CR) with traditional methods is poor. This study aims to evaluate the feasibility of a CR intervention with fully immersive Virtual Reality (VR) as an additional treatment for BD and offers preliminary data on its efficacy. Methods: Feasibility randomized controlled cross-over clinical study, with experimental condition lasting three months, crossed between two groups. Experimental condition: CR fully immersive VR recovery-oriented program plus conventional care; Control condition: conventional care. The control group began the experimental condition after a three months period of conventional care (waiting list). After the randomization of 50 people with BD diagnosis, the final sample consists of 39 participants in the experimental condition and 25 in the control condition because of dropouts. Results: Acceptability and tolerability of the intervention were good. Compared to the waitlist group, the experimental group reported a significant improvement regarding cognitive functions (memory: p = 0.003; attention: p = 0.002, verbal fluency: p = 0.010, executive function: p = 0.003), depressive symptoms (p = 0.030), emotional awareness (p = 0.007) and biological rhythms (p = 0.029). Conclusions: The results are preliminary and cannot be considered exhaustive due to the small sample size. However, the evidence of efficacy, together with the good acceptability of the intervention, is of interest. These results suggest the need to conduct studies with larger samples that can confirm this data. Trial registration: ClinicalTrialsgov NCT05070065, registered in September 2021

Resiliencia en las personas mayores durante la primera ola pandémica de la COVID-19 en Chile: una perspectiva desde los determinantes sociales de la salud

Objetivo

Evaluar la asociación entre los determinantes sociales de la salud (DSS) y la resiliencia en las personas mayores durante el primer periodo de confinamiento en la pandemia COVID-19 en Chile.

Métodos

Se realizó un estudio observacional con diseño transversal utilizando los datos de una encuesta representativa a nivel nacional. En dicha encuesta, mediante un proceso de aleatorización sistemática, una submuestra de personas con edad ≥ 60 años de la comunidad fueron entrevistadas telefónicamente durante la primera ola pandémica de la COVID-19 en Chile. La resiliencia se evaluó utilizando la Brief Resilient Coping Scale (BRCS) y los síntomas depresivos con el Patient Health Questionnaire (PHQ-9). Los DSS considerados fueron: edad, género, nivel educacional, condición laboral, aislamiento social, soledad, insatisfacción de necesidades de vivienda y de atención en salud.

Resultados

Se obtuvo una muestra total de 582 personas. La edad promedio fue de 71 años (DT: 7,64; 69% mujeres). Se obtuvo una asociación significativa entre una baja resiliencia y las siguientes condiciones: alta soledad (OR: 1,776 [IC 95%: 1,146-2,751]), alto riesgo de aislamiento social (OR: 1,667 [IC 95%: 1,149-2,419]), y síntomas depresivos (OR: 2,602 [IC 95%: 1,795-3,774]). El género femenino fue un factor protector (OR: 0,589 [IC 95%: 0,406-0,855]).

Conclusión

Los DSS como la alta soledad y el aislamiento social son factores que se asocian con una baja resiliencia de las personas mayores durante la pandemia de la COVID-19, por lo que se deben tener en cuenta al momento de planificar estrategias de intervención en la salud pública.