Multilevel growth curve models with covariate effects: application to recovery after stroke

2001 ◽  
Vol 20 (5) ◽  
pp. 685-704 ◽  
Author(s):  
Kate Tilling ◽  
Jonathan A. C. Sterne ◽  
Charles D. A. Wolfe
Keyword(s):  
Growth Curve ◽  
Growth Curve Models ◽  
Covariate Effects ◽  
Multilevel Growth Curve Models

An Analysis of WellBeing in Secondary School with Multilevel Growth Curve models and Multilevel Multivariate Models

2005 ◽  
Vol 39 (3) ◽  
pp. 297-316 ◽  
Author(s):  
Bieke De Fraine ◽  
Georges Van Landeghem ◽  
Jan Van Damme ◽  
Patrick Onghena
Keyword(s):  
Secondary School ◽  
Growth Curve ◽  
Multivariate Models ◽  
Growth Curve Models ◽  
Multilevel Growth Curve Models

Double serial correlation for multilevel growth curve models

2011 ◽  
Vol 47 (3) ◽  
pp. 1413-1427 ◽  
Author(s):  
Dickson Nkafu Anumendem ◽  
Geert Verbeke ◽  
Bieke De Fraine ◽  
Patrick Onghena ◽  
Jan Van Damme
Keyword(s):  
Growth Curve ◽  
Serial Correlation ◽  
Growth Curve Models ◽  
Multilevel Growth Curve Models

scholarly journals Trajectories of Depressive Symptoms and Neighborhood Changes from Adolescence to Adulthood: Latent Class Growth Analysis and Multilevel Growth Curve Models

2020 ◽  
Vol 17 (6) ◽  
pp. 1829
Author(s):  
Hyunjung Lee ◽  
Lorena M. Estrada-Martínez
Keyword(s):  
Depressive Symptoms ◽  
Growth Curve ◽  
Growth Analysis ◽  
Latent Class ◽  
Ethnic Composition ◽  
Latent Class Growth Analysis ◽  
Growth Curve Models ◽  
Latent Class Growth ◽  
Racial Ethnic ◽  
Multilevel Growth Curve Models

The role of neighborhood socioeconomic status (SES) and racial/ethnic composition on depression has received considerable attention in the United States. This study examines associations between trajectory patterns of neighborhood changes and depressive symptoms using data from Waves I-IV of the National Longitudinal Study of Adolescent to Adult Health. We used latent class growth analysis to determine the number and distribution of person-centered trajectories for neighborhood characteristics, and multilevel growth curve models to examine how belonging to each class impacted depression trajectories from ages 13 to 32 among non-Hispanic Whites (NHW), non-Hispanic Blacks (NHB), Hispanics, and non-Hispanic Others (NHO). The distribution of neighborhood SES classes across racial/ethnic groups suggests significant levels of economic inequality, but had no effect on depressive symptoms. A more complex picture emerged on the number and distribution of racial/ethnic composition latent class trajectories. Compared to NHB peers who lived in predominantly NHW neighborhoods from adolescence to adulthood, NHBs in more diverse neighborhoods had lower risk for depressive symptoms. Conversely, Hispanics living in neighborhoods with fewer NHWs had higher risk for depressive symptoms. Among NHOs, living in neighborhoods with a critical mass of other NHOs had a protective effect against depressive symptoms.

scholarly journals Identifying Critical Points of Trajectories of Depressive Symptoms From Childhood to Young Adulthood: Evidence of Sex Differences from the Avon Longitudinal Study of Parents and Children (ALSPAC)

2018 ◽  
Author(s):  
Alex S. F. Kwong ◽  
David Manley ◽  
Nicholas J. Timpson ◽  
Rebecca M. Pearson ◽  
Jon Heron ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Longitudinal Study ◽  
Growth Curve ◽  
Critical Points ◽  
Peak Velocity ◽  
Childhood And Adolescence ◽  
Growth Curve Models ◽  
Parents And Children ◽  
Avon Longitudinal Study ◽  
Multilevel Growth Curve Models

AbstractDepression is a common mental illness associated with increased substance misuse and risk of suicide. Potential risk factors for depression include sex and depressive symptoms in early life, however the mechanisms responsible are not yet understood. Research has focused on late childhood and adolescence as this developmental period may be a modifiable risk factor that prevents or reduces depression at a later stage. It is also important to establish at what ages the level of depression is changing as this will help identify critical points to intervene with treatment. We used multilevel growth-curve models to explore adolescent trajectories of depressive symptoms in the Avon Longitudinal Study of Parents and Children, a UK based pregnancy cohort. Using data from 9301 individuals, trajectories of depressive symptoms were constructed for males and females between 10.6 and 22.8 years old. We calculated the age of peak velocity for depressive symptoms (the age at which depressive symptoms increases most rapidly) and the age of maximum depressive symptoms. Adjusted results suggested that being female was associated with a steeper trajectory compared to being male (per 1 year increase in relation to depressive symptoms: 0.128, SE = 0.035, [95% CI: 0.059, 0.198]; p <0.001). We found evidence suggesting that females had an earlier age of peak velocity of depressive symptoms (females 13.7 years old, SE = 0.321, [95% CI: 12.9, 14.4] and males 16.4 years old, SE = 0.096, [95% CI: 16.2, 16.6]; p <0.001), but weak evidence of an earlier age of maximum depressive symptoms (p = 0.125). Possible mechanisms that underlie this sex difference include the roles of pubertal development and timing. Using multilevel growth curve models to estimate the age of peak velocity and maximum depressive symptoms for different population subgroups may provide useful knowledge for treating and preventing later depression.

scholarly journals [Prediction of Future Observations in Growth Curve Models]: Comment

1987 ◽  
Vol 2 (4) ◽  
pp. 451-454 ◽  
Author(s):  
Nan Laird ◽  
Nick Lange
Keyword(s):  
Growth Curve ◽  
Growth Curve Models

Analysis of cross-over designs via growth curve models

2006 ◽  
Vol 136 (2) ◽  
pp. 475-497
Author(s):  
Nils Åsenblad ◽  
Dietrich von Rosen
Keyword(s):  
Growth Curve ◽  
Growth Curve Models
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