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34


Mood and Personality Characteristics are Associated with Metamemory Knowledge Accuracy in a Community-Based Cohort of Older Adults

Colvin, Leigh E; Malgaroli, Matteo; Chapman, Silvia; MacKay-Brandt, Anna; Cosentino, Stephanie
OBJECTIVES:Emerging work reveals the neuroanatomic changes that compromise metacognition; however, little is known about the impact of premorbid factors. Research suggests that psychological variables influence the perception of cognition, but whether they influence the accuracy of those perceptions (i.e., metacognition) has not been directly examined. PARTICIPANTS AND METHODS:Using Latent Class Analysis (LCA), we tested for discrete personality (NEOFFI) and mood (STAI, BDI-II, and GDS) classes among a community-based cohort of 151 older adults, enrolled in the NKI-Rockland study. Metamemory was calculated by comparing subjective memory ratings (modified Cognitive Failures Questionnaire) to objective memory (Rey Auditory Verbal Learning Test) to determine the degree to which individuals were overconfident, underconfident, or accurate in their self-assessment. A generalized linear model was used to examine whether metamemory differed across the emergent classes. A one sample t test was used to determine whether the metamemory scores of the emergent classes were statistically significantly different from zero, that is, over or under confident. RESULTS:Two discrete classes emerged in the LCA: Class 1 was characterized predominantly by high extraversion and conscientiousness and low neuroticism and anxiety; Class 2 was characterized predominantly by low extraversion and conscientiousness and high neuroticism and anxiety. Metamemory differed significantly as a function of Class Membership (F(4,151)=5.42; p<.001), with Class 1 demonstrating accurate metamemory (M=0.21; SD=1.31) and Class 2 demonstrating under-confidence (M=-0.59; SD=1.39) in their memory. CONCLUSIONS:The significant association between psychological factors and metamemory knowledge accuracy suggests that such characteristics may be important to consider in the conceptualization, assessment, and treatment of metacognitive disturbances. (JINS, 2018, 24, 498-510).
PMID: 29400264
ISSN: 1469-7661
CID: 4780642

Heterogeneity in Trajectories of Depression in Response to Divorce is Associated with Differential Risk for Mortality

Malgaroli, Matteo; Galatzer-Levy, Isaac R; Bonanno, George A
Divorce is a common stressful event associated with both increased rates of depression and mortality. Given evidence of significant individual differences in depression following major life stressors, we examined if heterogeneous depression responses confer differential risk for mortality. Data from a population based longitudinal study was utilized to identify individuals who experienced divorce (n=559). Prospective trajectories of depression severity from before to after divorce were identified using latent growth mixture modeling, and rates of mortality between trajectories were compared as a distal outcome. Four trajectories demonstrated strongest model fit: resilience (67%), emergent depression (10%), chronic pre-to-post divorce depression (12%), and decreasing depression (11%). Mortality base rate was 9.7% by 6 years post-event, and depression that emerged due to divorce was associated with significantly greater mortality risk compared to resilient (OR, 2.46; 95% CI, 1.05-5.81) and to married individuals, while chronic depression was not associated with greater risk.
PMCID:5637453
PMID: 29034135
ISSN: 2167-7026
CID: 2742442

Networks of loss: Relationships among symptoms of prolonged grief following spousal and parental loss

Maccallum, Fiona; Malgaroli, Matteo; Bonanno, George A
The death of a loved one can trigger a range of emotional, behavioral, motivational and cognitive reactions collectively labeled as "grief." There has been a recent resurgence of empirical interest in grief reactions, and there is now a general consensus that 7%-10% of bereaved individuals experience intense and chronic reactions termed Prolonged Grief (PG). However, there is ongoing debate about how best to conceptualize the construct. Recent studies have advanced this debate by applying a network, or causal systems approach. Whereas traditional views of psychopathology posit symptoms of disorders reflect the independent actions of latent entities, the network approach argues that the symptoms themselves interact to give rise to the disorder. A network conceptualization offers novel approaches to studying the mechanisms that contribute to PG. To date, however, research has focused only on spousal loss and only used a single archival data set. Therefore, in this paper we apply network analysis to examine relationships among PG symptoms in samples of individuals bereaved by loss of a spouse (Study 1, N = 193) and a parent (Study 2, N = 180). Participants completed the PG-13 and a measure of depression. A comparison test suggested the networks produced from each sample were not reliably different. The strongest link in both networks was between yearning and emotional pain. Meaninglessness was relatively central, whereas avoidance was peripheral in both networks. Findings are discussed with reference to theoretical models and the potential benefits a network approach may hold for understanding relationships between symptoms of PG. (PsycINFO Database Record
PMCID:5523866
PMID: 28594192
ISSN: 1939-1846
CID: 4780632

Trajectories of Postpartum Depression in Italian First-Time Fathers

Molgora, Sara; Fenaroli, Valentina; Malgaroli, Matteo; Saita, Emanuela
Paternal postpartum depression (PPD) has received little attention compared with maternal prenatal and postpartum depression, despite research reporting that paternal PPD concerns a substantial number of fathers. History of depression and antenatal depression have been identified as important PPD's risk factors, underlining the continuity of depressive symptoms during the transition to parenthood. However, only few studies have focused on the evolution of depressive symptoms with longitudinal research design. The present study aims at analyzing the longitudinal trajectories of depressive symptoms from the third trimester of pregnancy to 1 year after childbirth. One hundred and twenty-six first-time fathers completed the Edinburgh Postnatal Depression Scale at four time points (7-8 months of pregnancy, 40 days, 5-6 months, and 12 months after childbirth). Data were analyzed throughout latent growth mixture modeling. Latent growth mixture modeling analysis indicated a three-class model as the optimal solution. The three-class solution included a trajectory of low, stable depressive symptoms across the four time points ( resilient, 52%); a trajectory of moderate, relatively stable depressive symptomatology ( distress, 37%); and a trajectory of emergent clinical depression following a pattern of high depressive symptoms ( emergent depression, 11%). This study allowed to identify different subpopulation within the sample, distinguishing among mental well-being, emotional distress, and high-risk conditions when-1 year after childbirth-fathers report the highest scores to the Edinburgh Postnatal Depression Scale. These results underline the importance to analyze fathers' well-being over the time during the transition to fatherhood.
PMCID:5675320
PMID: 27885145
ISSN: 1557-9891
CID: 4780622