scholarly journals Depression Risk Factors and Affect Dynamics: An Experience Sampling Study

Author(s):  
Carter J. Funkhouser ◽  
Ariela J.E. Kaiser ◽  
Kira L. Alqueza ◽  
Vivian L. Carrillo ◽  
Lija M.K. Hoffman ◽  
...  
2021 ◽  
Author(s):  
Carter J. Funkhouser

Affect dynamics reflect individual differences in how emotional information is processed, and may provide insights into how depressive episodes develop. To extend prior studies that examined affect dynamics in currently depressed individuals, the present study tested in 68 non-depressed young adults whether three well-established risk factors for major depressive disorder (MDD) – (a) past episodes of MDD, (b) family history of MDD, and (c) reduced neurophysiological responses to reward – predicted mean levels, instability, or inertia (i.e., inflexibility) of positive affect (PA) and/or negative affect (NA). Momentary PA and NA were assessed up to 6 times per day for 14 days (mean number of surveys completed=45.89). MDD history and family history of MDD were assessed via semi-structured interview, and neurophysiological responses to reward were indexed using the Reward Positivity, an event-related potential related to depression. After adjusting for current depressive symptoms, results indicated that (a) past episodes of MDD predicted higher mean levels of NA, (b) family history of MDD predicted greater PA inertia, and (c) blunted reactivity to reward predicted greater NA inertia. Collectively, these results suggest that elevated mean levels of NA and inflexibility of PA and NA may be potential mechanisms that confer risk for depression.


2021 ◽  
Author(s):  
Olivia J Kirtley ◽  
Robin Achterhof ◽  
Noëmi Hagemann ◽  
Karlijn Susanna Francisca Maria Hermans ◽  
Anu Pauliina Hiekkaranta ◽  
...  

Background: Over half of all mental health conditions have their onset in adolescence. Large-scale epidemiological studies have identified relevant environmental risk factors for mental health problems. Yet, few have focused on potential mediating inter- and intrapersonal processes in daily life, hampering intervention development. Objectives: To investigate 1) the impact of environmental risk factors on changes in inter- and intrapersonal processes; 2) the impact of altered inter- and intrapersonal processes on the development of (sub)clinical mental health symptoms in adolescents and; 3) the extent to which changes in inter- and intrapersonal processes mediate the association between environmental risk factors and the mental health outcomes in adolescents.Methods: ‘SIGMA’ is an accelerated longitudinal study of adolescents aged 12 to 18 from across Flanders, Belgium. Using self-report questionnaires, experience sampling, an experimental task, and wearables, we are investigating the relationship between environmental risk factors (e.g. trauma, parenting), inter- and intrapersonal processes (e.g. real-life social interaction and interpersonal functioning) and mental health outcomes (e.g. psychopathology, self-harm) over time. Results: N= 1913 adolescents (63% female) aged 11 – 20, from 22 schools, participated. The range of educational trajectories within the sample was broadly representative of the Flemish general adolescent population.Conclusions: Our findings will enable us to answer fundamental questions about inter- and intrapersonal processes involved in the development and maintenance of poor mental health in adolescence. This includes insights regarding the role of daily-life social and cognitive-affective processes, gained by using experience sampling. The accelerated longitudinal design enables rapid insights into developmental and cohort effects.


2022 ◽  
pp. 108705472110664
Author(s):  
Lucy Riglin ◽  
Robyn E. Wootton ◽  
Lucy A. Livingston ◽  
Jessica Agnew-Blais ◽  
Louise Arseneault ◽  
...  

Objective: We investigated whether “late-onset” ADHD that emerges in adolescence/adulthood is similar in risk factor profile to: (1) child-onset ADHD, but emerges later because of scaffolding/compensation from childhood resources; and (2) depression, because it typically onsets in adolescence/adulthood and shows symptom and genetic overlaps with ADHD. Methods: We examined associations between late-onset ADHD and ADHD risk factors, cognitive tasks, childhood resources and depression risk factors in a population-based cohort followed-up to age 25 years ( N=4224–9764). Results: Parent-rated late-onset ADHD was like child-onset persistent ADHD in associations with ADHD polygenic risk scores and cognitive task performance, although self-rated late-onset ADHD was not. Late-onset ADHD was associated with higher levels of childhood resources than child-onset ADHD and did not show strong evidence of association with depression risk factors. Conclusions: Late-onset ADHD shares characteristics with child-onset ADHD when parent-rated, but differences for self-reports require investigation. Childhood resources may delay the onset of ADHD.


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