Latent trajectories of change for clients at a psychodynamic training clinic

2019 ◽  
Vol 75 (7) ◽  
pp. 1147-1168
Author(s):  
Peter J. Jankowski ◽  
Steven J. Sandage ◽  
Chance A. Bell ◽  
David Rupert ◽  
Miriam Bronstein ◽  
...  
Keyword(s):  
Training Clinic ◽  
Trajectories Of Change ◽  
Latent Trajectories

The hour of departure: Predicting attrition in the training clinic from role expectancies.

2009 ◽  
Vol 3 (2) ◽  
pp. 120-126 ◽  
Author(s):  
Nicki L. Aubuchon-Endsley ◽  
Jennifer L. Callahan
Keyword(s):  
Training Clinic

Does the use of adjunct supervisors in the training clinic impact client outcomes?

2013 ◽  
Author(s):  
Elizabeth R. Wrape ◽  
Jennifer L. Callahan ◽  
Camilo J. Ruggero ◽  
C. Edward Watkins
Keyword(s):  
Client Outcomes ◽  
Training Clinic

Identifying trajectories of change to improve understanding of integrated health care outcomes on PTSD symptoms post disaster.

2017 ◽  
Vol 35 (2) ◽  
pp. 155-166 ◽  
Author(s):  
Howard J. Osofsky ◽  
Carl F. Weems ◽  
Tonya Cross Hansel ◽  
Anthony H. Speier ◽  
Joy D. Osofsky ◽  
...  
Keyword(s):  
Health Care ◽  
Integrated Health Care ◽  
Ptsd Symptoms ◽  
Health Care Outcomes ◽  
Integrated Health ◽  
Care Outcomes ◽  
Trajectories Of Change ◽  
Post Disaster

Trajectories of eating behavior during COVID-19 lockdown: Longitudinal analyses of 22,374 adults in the UK

2020 ◽  
Author(s):  
Moritz Herle ◽  
Andrea Smith ◽  
Feifei Bu ◽  
Andrew Steptoe ◽  
Daisy Fancourt
Keyword(s):  
Eating Behavior ◽  
Eating Behaviors ◽  
Latent Class ◽  
Stressful Life Events ◽  
Panel Study ◽  
Social Study ◽  
Multinomial Regression ◽  
Design Data ◽  
Trajectories Of Change ◽  
The Uk

Background: The COVID-19 pandemic has led to the implementation of stay-at-home and lockdown measures. It is currently unknown if the experience of lockdown leads to long term changes in individual’s eating behaviors.Objective: The objectives of this study were: i) to derive longitudinal trajectories of change in eating during UK lockdown, and ii) to identify risk factors associated with eating behavior trajectories. Design: Data from 22,374 UK adults from the UCL COVID-19 Social study (a panel study collecting weekly data during the pandemic) were analyzed from 28th March to 29th May 2020. Latent Class Growth Analysis was used to derive trajectories of change in eating. These were then associated with prior socio-economic, heath-related and psychological factors using multinomial regression models. Results: Analyses suggested five trajectories, with the majority (64%) showing no change in eating. In contrast, one trajectory was marked by persistently eating more, whereas another by persistently eating less. Overall, participants with greater depressive symptoms were more likely to report any change in eating. Loneliness was linked to persistently eating more (OR= 1.07), whereas being single or divorced, as well as stressful life events, were associated with consistently eating less (OR= 1.69). Overall, higher education status was linked to lower odds of changing eating behavior (OR= 0.54-0.77). Secondary exploratory analyses suggest that participants self-reported to have overweight were most common amongst the consistently overeaters, whereas underweight participants persistently ate less. Conclusion: In this study, we found that one third of the sample report changes in quantities eaten throughout the first UK lockdown period. Findings highlight the importance of adjusting public health programs to support eating behaviors in future lockdowns both in this and potential future pandemics. This is particularly important as part of on-going preventive efforts to prevent nutrition-related chronic diseases.

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