Bereavement or breakup: Differences in networks of depression

Burger, Julian; Stroebe, Margaret; Perrig-Chiello, Pasqualina; Schüt, H.; Spahni, Stefanie; Eisma, Maarten C.; Fried, Eiko I.

doi:10.1016/j.jad.2020.01.157

Cited by 44 publications

(29 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The network structures were estimated as sparse Gaussian graphical models (GGM) with qgraph (Epskamp et al, 2012). We chose Spearman rank correlation as our correlation method as the impulse dyscontrol symptom data were skewed (see e.g., Burger et al, 2020; and Eiko I Fried, 2018 for discussion regarding the use of Spearman over polychoric correlations).…”

Section: Network Analysesmentioning

confidence: 99%

Network analysis of impulse dyscontrol in mild cognitive impairment and subjective cognitive decline

Saari

Smith

Ismail

2021

Int. Psychogeriatr.

View full text Add to dashboard Cite

Objectives: To investigate conditional dependence relationships of impulse dyscontrol symptoms in mild cognitive impairment (MCI) and subjective cognitive decline (SCD). Design: A prospective, observational study. Participants: Two hundred and thirty-five patients with MCI (n = 159) or SCD (n = 76) from the Prospective Study for Persons with Memory Symptoms dataset. Measurements: Items of the Mild Behavioral Impairment Checklist impulse dyscontrol subscale. Results: Stubbornness/rigidity, agitation/aggressiveness, and argumentativeness were frequent and the most central symptoms in the network. Impulsivity, the fourth most central symptom in the network, served as the bridge between these common symptoms and less central and rare symptoms. Conclusions: Impulse dyscontrol in at-risk states for dementia is characterized by closely connected symptoms of irritability, agitation, and rigidity. Compulsions and difficulties in regulating rewarding behaviors are relatively isolated symptoms.

show abstract

Section: Network Analysesmentioning

confidence: 99%

Network analysis of impulse dyscontrol in mild cognitive impairment and subjective cognitive decline

Saari

Smith

Ismail

2021

Int. Psychogeriatr.

View full text Add to dashboard Cite

show abstract

“…The loss of a primary attachment person through separation and the associated confrontation with individual, social and economic obstacles can be challenging and renders individuals more vulnerable (Wang & Amato, 2000; Zhang et al, 2016). In a recently published network analysis study with a sample of people aged 40 or older, loneliness displayed the strongest connection to separation among depressive symptoms (Burger et al, 2020), emphasizing the social consequences of this loss. A new love was found to be beneficial to fill this gap and seems to contribute substantially to improved well-being in younger people (Soons et al, 2009).…”

Section: New Intimate Partnership After Separationmentioning

confidence: 99%

Repartnering and trajectories of life satisfaction after separation and divorce in middle and later life

Gloor

Gonin-Spahni

Znoj

et al. 2021

Journal of Social and Personal Relationships

Self Cite

View full text Add to dashboard Cite

Separation and divorce are life events that might alter life satisfaction on the long term. Previous literature suggests a recovery of life satisfaction after marital dissolution for most individuals, simultaneously emphasizing considerable heterogeneity in the extent and timing of such adaptation. A new partnership seems to be a promising factor for a positive post-separation adjustment process. At the same time, the question arises whether people with beneficial characteristics, such as higher trait resilience, may have a double advantage by recovering faster and being more likely to find a new partner. However, little research has concurrently investigated the consequences of repartnering and favorable personal attributes on life satisfaction of middle- and older-aged people, especially not beyond the initial recovery period. Our data stem from a three-wave longitudinal questionnaire study including 199 participants after a separation, all single at the beginning of the study. Latent growth modeling was applied to investigate trajectories of life satisfaction, examining the role of a new intimate partnership, while controlling for trait resilience. Trait resilience represented a strong general predictor for inter-individual differences in the initial level of life satisfaction. However, an increase in life satisfaction over time was only observed in the group of participants who engaged in a new partnership. This increase occurred independently of preexisting differences in beneficial characteristics, such as high levels of trait resilience or life satisfaction. Thus, repartnering is associated with improvement of life satisfaction beyond the first adaptation phase after separation and is therefore important to prevent long-term negative consequences.

show abstract

“…The network structures were estimated as sparse Gaussian graphical models (GGM) with qgraph (Epskamp, Cramer, Waldorp, Schmittmann, & Borsboom, 2012). We chose Spearman rank correlation as our correlation method as the impulse dyscontrol symptom data were skewed (see e.g., Burger et al, 2020;Epskamp, Borsboom, & Fried, 2018b for discussion regarding the use of Spearman over polychoric correlations). The networks were regularized with the least absolute shrinkage and selection operator (LASSO; Tibshirani, 1996) that shrinks all edge weights towards zero, while also setting small edge weights to exactly zero.…”

Section: Network Analysesmentioning

confidence: 99%

Network analysis of impulse dyscontrol in mild cognitive impairment and subjective cognitive decline

Saari¹,

Smith²,

Ismail³

2020

Preprint

View full text Add to dashboard Cite

Background: Impulse dyscontrol is a common feature in neurodegenerative diseases but challenging to conceptualize. It has also been shown that impulsivity could be one of the earliest neuropsychiatric symptoms emerging in advance of dementia. Both frequent and rare symptoms of impulse dyscontrol are recognized, as are interpersonal and generalized symptoms, but the relationships between these different symptoms remain poorly understood. To address this gap, we examine the network structure of impulse dyscontrol in at-risk states for dementia.Methods: We estimated network models of the Mild Behavioral Impairment-Checklist impulse dyscontrol subscale in 235 patients with mild cognitive impairment (n=159) or subjective cognitive decline (n=76) from the Prospective Study for Persons with Memory Symptoms dataset. Frequency of the symptoms was also examined.Results: Stubbornness/rigidity, agitation/aggressiveness, and argumentativeness were frequent and the most central symptoms in the network. Impulsivity, the fourth most central symptom in the network, served as the bridge between these common symptoms and less central and rare symptoms.Conclusions: Impulse dyscontrol in at-risk states for dementia is characterized by closely connected symptoms of irritability, agitation and rigidity. Compulsions and difficulties in regulating rewarding behaviors are relatively isolated symptoms. Future studies could augment network models of impulse dyscontrol with cognitive and neuroimaging variables in addition to examining the replicability and generalizability of networks across populations and disease states.

show abstract

Bereavement or breakup: Differences in networks of depression

Cited by 44 publications

References 31 publications

Network analysis of impulse dyscontrol in mild cognitive impairment and subjective cognitive decline

Network analysis of impulse dyscontrol in mild cognitive impairment and subjective cognitive decline

Repartnering and trajectories of life satisfaction after separation and divorce in middle and later life

Network analysis of impulse dyscontrol in mild cognitive impairment and subjective cognitive decline

Contact Info

Product

Resources

About