Regional Variations in Voting at British General Elections, 1950–2001: Group-Based Latent Trajectory Analysis

2009 ◽  
Vol 41 (3) ◽  
pp. 598-616 ◽  
Author(s):  
Ron Johnston ◽  
Kelvyn Jones ◽  
Min-Hua Jen
Keyword(s):  
Trajectory Analysis ◽  
Regional Variations ◽  
Latent Trajectory ◽  
General Elections ◽  
Latent Trajectory Analysis

scholarly journals Mindfulness and Affect During Mindfulness-Based Cognitive Therapy for Recurrent Depression: an Autoregressive Latent Trajectory Analysis

Mindfulness ◽  
2020 ◽  
Vol 11 (10) ◽  
pp. 2360-2370
Author(s):  
Marleen J. ter Avest ◽  
Corina U. Greven ◽  
Marloes J. Huijbers ◽  
Tom F. Wilderjans ◽  
Anne E. M. Speckens ◽  
...  
Keyword(s):  
Cognitive Therapy ◽  
Trajectory Analysis ◽  
Recurrent Depression ◽  
Latent Trajectory ◽  
Latent Trajectory Analysis

scholarly journals The Longitudinal Interplay of Adolescents' Self-Esteem and Body Image: A Conditional Autoregressive Latent Trajectory Analysis

2011 ◽  
Vol 46 (2) ◽  
pp. 157-201 ◽  
Author(s):  
Alexandre J. S. Morin ◽  
Christophe Maïano ◽  
Herbert W. Marsh ◽  
Michel Janosz ◽  
Benjamin Nagengast
Keyword(s):  
Body Image ◽  
Trajectory Analysis ◽  
Self Esteem ◽  
Latent Trajectory ◽  
Conditional Autoregressive ◽  
Latent Trajectory Analysis

scholarly journals Changes in accelerometer-measured sleep during the transition to retirement: the Finnish Retirement and Aging (FIREA) study

SLEEP ◽  
2020 ◽  
Vol 43 (7) ◽  
Author(s):  
Saana Myllyntausta ◽  
Anna Pulakka ◽  
Paula Salo ◽  
Erkki Kronholm ◽  
Jaana Pentti ◽  
...  
Keyword(s):  
Sleep Duration ◽  
Short Sleep Duration ◽  
Latent Trajectory ◽  
Time In Bed ◽  
Measurement Tools ◽  
Before And After ◽  
Aging Study ◽  
Study Population ◽  
Study Participants ◽  
Latent Trajectory Analysis

Abstract Study Objectives Retirement is associated with increases in self-reported sleep duration and reductions in sleep difficulties, but these findings need to be confirmed by using more objective measurement tools. This study aimed at examining accelerometer-based sleep before and after retirement and at identifying trajectories of sleep duration around retirement. Methods The study population consisted of 420 participants of the Finnish Retirement and Aging study. Participants’ sleep timing, sleep duration, time in bed, and sleep efficiency were measured annually using a wrist-worn triaxial ActiGraph accelerometer on average 3.4 times around retirement. In the analyses, sleep on nights before working days and on nights before days off prior to retirement were separately examined in relation to nights after retirement. Results Both in bed and out bed times were delayed after retirement compared with nights before working days. Sleep duration increased on average by 41 min (95% confidence interval [CI] = 35 to 46 min) from nights before working days and decreased by 13 min (95% CI = −20 to −6 min) from nights before days off compared with nights after retirement. By using latent trajectory analysis, three trajectories of sleep duration around retirement were identified: (1) shorter mid-range sleep duration with increase at retirement, (2) longer mid-range sleep duration with increase at retirement, and (3) constantly short sleep duration. Conclusions Accelerometer measurements support previous findings of increased sleep duration after retirement. After retirement, especially out bed times are delayed, thus, closely resembling sleep on pre-retirement nights before non-working days.

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