scholarly journals Depression profiles among adolescents and their parents: A group-based multi-trajectory modeling

2020 ◽  
Author(s):  
Xiang Zhou ◽  
Xiaoning Sun
Keyword(s):  
At Risk ◽  
Health Outcomes ◽  
Family System ◽  
Panel Study ◽  
Family Members ◽  
Chinese Family ◽  
Depression Symptoms ◽  
System Perspective ◽  
Trajectory Modeling ◽  
Risk For Depression

Background: Early onset of depression predicts unfavorable psychosocial and health outcomes, and depression often co-occurs for children and their parents, yet family profiles of depression trajectories are not fully examined. Methods: This population-based longitudinal prospective cohort study included 2,111 families drawn from the Chinese Family Panel Study (CFPS) with biannual assessments from 2010 to 2018. Group-based multi-trajectory modeling was used to identify depression trajectories of children, fathers, and mothers. Results: Six distinct profiles of depression symptoms were identified: 1) low stable among all family members (35.6%); (2) low increasing in child and moderate stable in parents (13.1%); (3) low increasing in child, father resurging, and mother high increasing (3.2%); (4) low/moderate stable in child and father, and moderate increasing in mother (26.8%); (5) low/moderate stable in child and mother, and moderate increasing in father (12.5%); (6) moderate/high symptoms in all family members (8.8%). Conclusions: Based upon multi-trajectory findings of family depression profiles, when adolescents are at risk for depression, there is likely at least one parent concurrently at risk for depression, but not vice versa. Families with social disadvantages and children of delayed developmental milestones are at elevated risk for depression. Even when children are at low risk for depression, depression in parents can spill over to impact other psychosocial and health outcomes. These findings suggest examining depression and its associating psychosocial factors could help identify trajectories of varying onset and continuity, which can inform early prevention and intervention from a family system perspective.

scholarly journals Predicting Depression Symptoms in Families at Risk for Depression: Interrelations of Posterior EEG Alpha and Religion/Spirituality

2020 ◽  
Vol 274 ◽  
pp. 969-976
Author(s):  
Lidia Y.X. Panier ◽  
Gerard E. Bruder ◽  
Connie Svob ◽  
Priya Wickramaratne ◽  
Marc J. Gameroff ◽  
...  
Keyword(s):  
At Risk ◽  
Depression Symptoms ◽  
Eeg Alpha ◽  
Risk For Depression

scholarly journals The structure of emotional support networks in families affected by Lynch syndrome

2020 ◽  
Vol 8 (4) ◽  
pp. 492-507
Author(s):  
Christopher Steven Marcum ◽  
Dawn Lea ◽  
Dina Eliezer ◽  
Donald W. Hadley ◽  
Laura M. Koehly
Keyword(s):  
At Risk ◽  
Social Network ◽  
Lynch Syndrome ◽  
Emotional Support ◽  
Family System ◽  
Cancer Susceptibility ◽  
Family Members ◽  
Communal Coping ◽  
Support Resources ◽  
The Family

AbstractGenetic risk is particularly salient for families and testing for genetic conditions is necessarily a family-level process. Thus, risk for genetic disease represents a collective stressor shared by family members. According to communal coping theory, families may adapt to such risk vis-a-vis interpersonal exchange of support resources. We propose that communal coping is operationalized through the pattern of supportive relationships observed between family members. In this study, we take a social network perspective to map communal coping mechanisms to their underlying social interactions and include those who declined testing or were not at risk for Lynch Syndrome. Specifically, we examine the exchange of emotional support resources in families at risk of Lynch Syndrome, a dominantly inherited cancer susceptibility syndrome. Our results show that emotional support resources depend on the testing-status of individual family members and are not limited to the bounds of the family. Network members from within and outside the family system are an important coping resource in this patient population. This work illustrates how social network approaches can be used to test structural hypotheses related to communal coping within a broader system and identifies structural features that characterize coping processes in families affected by Lynch Syndrome.

scholarly journals The Structure of Emotional Support Networks in Families Affected by Lynch Syndrome

2018 ◽  
Author(s):  
Christopher Steven Marcum ◽  
Dawn Lea ◽  
Dina Eliezer ◽  
Donald Hadley ◽  
Laura Koehly
Keyword(s):  
At Risk ◽  
Social Network ◽  
Lynch Syndrome ◽  
Emotional Support ◽  
Family System ◽  
Cancer Susceptibility ◽  
Family Members ◽  
Communal Coping ◽  
Support Resources ◽  
The Family

Genetic risk is particularly salient for families, and testing for genetic conditions is necessarily a family level process. Thus, risk for genetic disease represents a collective stressor shared by family members. According to communal coping theory, families may adapt to such risk vis-a-vis interpersonal exchange of support resources. We propose that communal coping is operationalized through the pattern of supportive relationships observed between family members. While past research has examined support exchange of family members who received genetic testing, the roles of family members who declined testing, or were not otherwise at risk for disease, have not been fully examined. In this study, we take a social network perspective to map communal coping mechanisms to their underlying social interactions and include those who declined testing or were not at risk for Lynch Syndrome. Specifically, we examine the exchange of emotional support resources in families at risk of Lynch Syndrome, a dominantly inherited cancer susceptibility syndrome. Our results show that emotional support resources depend on the testing-status of individual family members and are not limited to the bounds of the family. Network members from within and outside the family system are an important coping resource in this patient population. This work illustrates how social network approaches can be used to test structural hypotheses related to communal coping within a broader system and identifies structural features that characterize coping processes in families affected by Lynch Syndrome.

Predicting Depression Symptoms in Families at Risk for Depression: Interactive Roles of Posterior EEG Alpha and Religion/Spirituality

2020 ◽  
Vol 87 (9) ◽  
pp. S323
Author(s):  
Lidia Wong ◽  
Gerard Bruder ◽  
Connie Svob ◽  
Priya Wickramaratne ◽  
Marc J. Gameroff ◽  
...  
Keyword(s):  
At Risk ◽  
Depression Symptoms ◽  
Eeg Alpha ◽  
Risk For Depression

scholarly journals Recruitment of Participants and Delivery of Online Mental Health Resources for Depressed Individuals Using Tumblr: Pilot Randomized Control Trial (Preprint)

2017 ◽  
Author(s):  
Erin Kelleher ◽  
Megan Moreno ◽  
Megan Pumper Wilt
Keyword(s):  
Mental Health ◽  
At Risk ◽  
Social Media ◽  
Young People ◽  
Intervention Group ◽  
Health Resources ◽  
Depression Symptoms ◽  
Depression Symptom ◽  
Search Term ◽  
Risk For Depression

BACKGROUND Adolescents and young adults frequently post depression symptom references on social media; previous studies show positive associations between depression posts and self-reported depression symptoms. Depression is common among young people and this population often experiences many barriers to mental health care. Thus, social media may be a new resource to identify, recruit, and intervene with young people at risk for depression. OBJECTIVE The purpose of this pilot study was to test a social media intervention on Tumblr. We used social media to identify and recruit participants and to deliver the intervention of online depression resources. METHODS This randomized pilot intervention identified Tumblr users age 15-23 who posted about depression using the search term “#depress”. Eligible participants were recruited via Tumblr messages; consented participants completed depression surveys and were then randomized to an intervention of online mental health resources delivered via a Tumblr message, while control participants did not receive resources. Postintervention online surveys assessed resource access and usefulness and control groups were asked whether they would have liked to receive resources. Analyses included t tests. RESULTS A total of 25 participants met eligibility criteria. The mean age of the participants was 17.5 (SD 1.9) and 65% were female with average score on the Patient Health Questionnaire-9 of 17.5 (SD 5.9). Among the 11 intervention participants, 36% (4/11) reported accessing intervention resources and 64% (7/11) felt the intervention was acceptable. Among the 14 control participants, only 29% (4/14) of reported that receiving resources online would be acceptable (P=.02). Participants suggested anonymity and ease of use as important characteristics in an online depression resource. CONCLUSIONS The intervention was appropriately targeted to young people at risk for depression, and recruitment via Tumblr was feasible. Most participants in the intervention group felt the social media approach was acceptable, and about a third utilized the online resources. Participants who had not experienced the intervention were less likely to find it acceptable. Future studies should explore this approach in larger samples. Social media may be an appropriate platform for online depression interventions for young people.

Sign in / Sign up

Export Citation Format

Share Document