scholarly journals Gender differences in trajectories of depressive symptoms across childhood and adolescence: A multi-group growth mixture model

2020 ◽  
Vol 260 ◽  
pp. 463-472 ◽  
Author(s):  
Andrew J. Lewis ◽  
Jonathan H. Sae-Koew ◽  
John W. Toumbourou ◽  
Bosco Rowland
Keyword(s):  
Gender Differences ◽  
Depressive Symptoms ◽  
Mixture Model ◽  
Childhood And Adolescence ◽  
Growth Mixture Model ◽  
Growth Mixture

scholarly journals Distress Trajectories for Parents of Children With DSD: A Growth Mixture Model

2021 ◽  
Author(s):  
Megan N Perez ◽  
Ashley H Clawson ◽  
Marissa N Baudino ◽  
Paul F Austin ◽  
Laurence S Baskin ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Mixture Model ◽  
First Year ◽  
Partial Recovery ◽  
Growth Mixture Model ◽  
Growth Mixture ◽  
Sex Development ◽  
Best Fitting ◽  
Pediatric Illnesses ◽  
Fitting Model

Abstract Objective This study identifies trajectories of parent depressive symptoms after having a child born with genital atypia due to a disorder/difference of sex development (DSD) or congenital adrenal hyperplasia (CAH) and across the first year postgenitoplasty (for parents who opted for surgery) or postbaseline (for parents who elected against surgery for their child). Hypotheses for four trajectory classes were guided by parent distress patterns previously identified among other medical conditions. Methods Participants included 70 mothers and 50 fathers of 71 children diagnosed with a DSD or CAH with reported moderate to high genital atypia. Parents were recruited from 11 US DSD specialty clinics within 2 years of the child’s birth and prior to genitoplasty. A growth mixture model (GMM) was conducted to identify classes of parent depressive symptoms over time. Results The best fitting model was a five-class linear GMM with freely estimated intercept variance. The classes identified were termed “Resilient,” “Recovery,” “Chronic,” “Escalating,” and “Elevated Partial Recovery.” Four classes have previously been identified for other pediatric illnesses; however, a fifth class was also identified. The majority of parents were classified in the “Resilient” class (67.6%). Conclusions This study provides new knowledge about the trajectories of depressive symptoms for parents of children with DSD. Future studies are needed to identify developmental, medical, or familial predictors of these trajectories.

Factors of Piecewise Growth Mixture Model: Distance and Pattern

2014 ◽  
Vol 46 (9) ◽  
pp. 1400 ◽  
Author(s):  
Yuan LIU ◽  
Fang LUO ◽  
Hongyun LIU
Keyword(s):  
Mixture Model ◽  
Growth Mixture Model ◽  
Growth Mixture

scholarly journals Adult Children’s Support and Trajectory of Depressive Symptoms Among Disabled Chinese Older Adults

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 751-751
Author(s):  
Jianyun Wang ◽  
Renyao Zhong ◽  
Yaolin Pei ◽  
Bei Wu
Keyword(s):  
Older Adults ◽  
Depressive Symptoms ◽  
Lower Risk ◽  
Risk Group ◽  
Policy Implications ◽  
Instrumental Support ◽  
Growth Mixture Model ◽  
Chinese Older Adults ◽  
Growth Mixture

Abstract This study aimed to examine the trajectory of depressive symptoms among Chinese older adults with disabilities and the role of adult children’s support in predicting trajectory classes of depressive symptoms. Data were drawn from three waves of the China Health and Retirement Longitudinal Study (2011-2015). The sample included 1420 disabled older adults age 60+ at the baseline and completed all three waves of the data. Growth mixture model shows two-class depressive symptoms trajectories: the higher risk group (25.49%) and the lower risk group (74.51%). Logistic regression results showed that respondents who received a longer term of adult children’s instrumental support were more likely to be classified in a higher risk group after controlling the covariates (OR=1.184, p<0.05), while financial support and the frequency of contacts were not associated with the increased level of depressive symptoms. The policy implications were also discussed in this study.

Child Maltreatment, Delinquent Behavior, and School Factors as Predictors of Depressive Symptoms from Adolescence to Adulthood: A Growth Mixture Model

2017 ◽  
Vol 52 (1) ◽  
pp. 27-54 ◽  
Author(s):  
Gia Elise Barboza
Keyword(s):  
Depressive Symptoms ◽  
Child Maltreatment ◽  
Latent Class ◽  
Group Membership ◽  
Growth Mixture Model ◽  
School Factors ◽  
Growth Mixture ◽  
Broad Array ◽  
Drinking Frequency ◽  
Maltreatment Type

Previous methodological approaches have not been flexible enough to model the heterogeneity of depressive symptoms or to identify variations between prototypical trajectories conditional on risk and protective factors. The current study examined latent class trajectories of depressive symptoms using data from 3,819 respondents of the Adolescent Health Survey. Four trajectory profiles of depressive symptoms were identified: low-stable, high-decreasing, low-increasing, and moderate-decreasing. A broad array of risk factors were included into the modeling procedure to identify predictors of group membership. Relative to the low-stable group, membership in one of the three symptomatic groups (i.e., heightened depressive symptoms) was predicted by poverty, low self-esteem, gender, drinking frequency, poor academic outcomes, delinquency, and child maltreatment type. This study contributes to our understanding about the longitudinal manifestations of depression and identifies a broad array of factors significantly related to pathways of resilience.

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