Relationships Among Sleep Disturbance, Reward System Functioning, Anhedonia, and Depressive Symptoms

Wieman, Sarah; Hall, Kathi; MacDonald, Helen Z.; Gallagher, Matthew W.; Suvak, Michael K.; Rando, Alora; Liverant, Gabrielle I.

doi:10.1016/j.beth.2021.06.006

Cited by 18 publications

(16 citation statements)

References 74 publications

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“…It may be that individuals who are high on externalizing engage in IPV perpetration when they are not impacted by aspects of internalizing symptoms (i.e., amotivation and avoidance observed in depression and anxiety) that can function to reduce behavior. In addition, internalizing symptoms (e.g., depression) are marked by reduced reward sensitivity (Klawohn et al, 2021; Wieman et al, 2021), and as such, depression can reduce the degree to which engagement in aggressive behavior is rewarding or reinforcing. This interaction was only observed for IPV perpetration, but the fact that it was found also in analyses using informant‐reported symptoms and replicates Mendez et al (2021) indicates a potentially meaningful distinction between IPV perpetration and other forms of aggression.…”

Section: Discussionmentioning

confidence: 99%

Eyes of the beholders: Multi‐method relationships between internalizing and externalizing symptom dimensions and aggression risk

Bozzay,

Bresin,

Brown

et al. 2024

Aggressive Behavior

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Although aggression occurs across a range of disorders, associations between dimensions of psychopathology and self‐ and other‐directed aggression are not well understood. Investigating associations between psychopathology dimensions and aggression helps further understanding about the etiology of aggression, and ultimately, can inform intervention and prevention strategies. This study adopted a multi‐method approach to examine associations between internalizing and externalizing dimensions of psychopathology and self‐ and other‐directed aggression as a function of reporter (participant and informant) and modality of aggression measurement (subjective and objective). Participants were an unselected sample of 151 racially diverse adults recruited from the community. Dimensions of psychopathology were assessed using interview and questionnaire reports from participants and collateral informants, and forms of aggression were measured via subjective reports and an objective, laboratory aggression paradigm. Analyses of participant‐reported psychological symptom data consistently linked externalizing symptoms to other‐directed aggression, and internalizing symptoms to self‐directed aggression. Results across informant and participant reporters replicated prior findings showing a significant interaction between internalizing and externalizing dimensions in predicting intimate partner violence. Most other effects in informant models were nonsignificant. The findings uncover consistency in and replicability of relationships between dimensions of psychopathology and certain manifestations of aggression and highlight the importance of examining multiple forms of aggression in etiological research. Examining aggression through a transdiagnostic lens can help us better understand and intervene upon processes implicated in devasting forms of self‐ and other‐directed aggression.

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Section: Discussionmentioning

confidence: 99%

Eyes of the beholders: Multi‐method relationships between internalizing and externalizing symptom dimensions and aggression risk

Bozzay,

Bresin,

Brown

et al. 2024

Aggressive Behavior

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“…In terms of brain function, sleep disturbances have been shown to disrupt the function of cortical neural circuits, including the amygdala, striatum, anterior cingulate cortex and prefrontal cortex (PFC) ( 125 ), which play a key role in the regulation of the affective system ( 126 ). In addition, there is growing evidence that insomnia disrupts brain functions associated with the reward system ( 127 , 128 ), and that dysfunction of the reward system is associated with a variety of neuropsychiatric disorders ( 129 ), including depression, bipolar disorder ( 127 , 128 , 130 ) and others.…”

Section: Discussionmentioning

confidence: 99%

The top 100 most cited papers in insomnia: A bibliometric analysis

Wan

Wang

et al. 2023

Front. Psychiatry

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ObjectiveThe number of citations to a paper represents the weight of that work in a particular area of interest. Several highly cited papers are listed in the bibliometric analysis. This study aimed to identify and analyze the 100 most cited papers in insomnia research that might appeal to researchers and clinicians.MethodsWe reviewed the Web of Science (WOS) Core Collection database to identify articles from 1985 to 24 March 2022. The R bibliometric package was used to further analyze citation counts, authors, year of publication, source journal, geographical origin, subject, article type, and level of evidence. Word co-occurrence in 100 articles was visualized using VOS viewer software.ResultsA total of 44,654 manuscripts were searched on the Web of Science. Between 2001 and 2021, the top 100 influential manuscripts were published, with a total citation frequency of 38,463. The top countries and institutions contributing to the field were the U.S. and Duke University. Morin C.M. was the most productive author, ranking first in citations. Sleep had the highest number of manuscripts published in the top 100 (n = 31), followed by Sleep Medicine Reviews (n = 9). The most cited manuscript (Bastien et al., Sleep Medicine, 2001; 3,384 citations) reported clinical validation of the Insomnia Severity Index (ISI) as a brief screening indicator for insomnia and as an outcome indicator for treatment studies. Co-occurrence analyses suggest that psychiatric disorders combined with insomnia and cognitive behavioral therapy remain future research trends.ConclusionThis study provides a detailed list of the most cited articles on insomnia. The analysis provides researchers and clinicians with a detailed overview of the most cited papers on insomnia over the past two decades. Notably, COVID-19, anxiety, depression, CBT, and sleep microstructure are potential areas of focus for future research.

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“…A recent study reported that anhedonia was negatively related to daytime insomnia symptoms associated with MDD but not to sleep variables (Osorno et al, 2018). Conversely, a second study reported that sleep quality variables were positively associated with anhedonia (Wieman et al, 2022). The relationship between fatigue and anhedonia and their association with sleep and depression clearly requires further investigation in both autistic and non‐autistic adults.…”

Section: Discussionmentioning

confidence: 99%

The impact of sleep quality, fatigue and social well‐being on depressive symptomatology in autistic older adolescents and young adults

et al. 2023

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Depression and poor sleep quality commonly co-occur with autism, and depression has been associated with loneliness and reduced social support. In nonautistic samples, poor sleep quality and daytime fatigue also contribute to depression. However, the contribution of sleep quality and fatigue to depressive symptoms, and how they interact with social factors to influence depression in autism remain unexplored. Our aim was to examine these relationships in 114 young autistic adults aged 15-25 years (57% male) from the SASLA online, longitudinal study (baseline and 2-year follow-up). Hierarchical multiple regression models examined the association between social well-being (social integration and social contribution; T1), sleep quality (T1, T2), and fatigue (T1, T2) on depression (T1, T2). Two mediation models were conducted on T1 data predicting depression from sleep quality though fatigue and sleep quality through social well-being. Depression and fatigue scores did not change over 2 years, but sleep quality worsened. The T1 regression model was significant (R 2 = 36%) with fatigue and social contribution individually predicting depression symptomatology. The longitudinal regression model was also significant (adjusted R 2 = 57%) with social contribution (T1) as the only significant predictor of depression (T2). Fatigue trended towards mediating the sleep quality-depression relationship, while social well-being was a significant partial mediator of this relationship. Results highlight that sleep quality, fatigue, and social well-being contribute to depression among young autistic adults. Interestingly, fatigue and social wellbeing were independently associated with depression. Thus, addressing sleep quality and associated fatigue, and social well-being is important when treating depression in autistic individuals. Lay SummaryWe tested whether poor sleep, daytime fatigue and sense of community belonging belongingness contributed to depression symptoms in young autistic adults. We found that these all contributed significantly to depression symptoms in our sample. We concluded that it would be helpful to address both sleep problems and community belongingness when treating depression in young autistic adults.

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Relationships Among Sleep Disturbance, Reward System Functioning, Anhedonia, and Depressive Symptoms

Cited by 18 publications

References 74 publications

Eyes of the beholders: Multi‐method relationships between internalizing and externalizing symptom dimensions and aggression risk

Eyes of the beholders: Multi‐method relationships between internalizing and externalizing symptom dimensions and aggression risk

The top 100 most cited papers in insomnia: A bibliometric analysis

The impact of sleep quality, fatigue and social well‐being on depressive symptomatology in autistic older adolescents and young adults

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