Literature DB >> 28410857

Measuring Participant Effort in a Depression Prevention Trial: Who Engages in Problem-Solving Therapy?

Sarah T Stahl1, Steven M Albert2, Mary Amanda Dew3, Stewart Anderson4, Jordan F Karp3, Ariel G Gildengers3, Meryl A Butters3, Charles F Reynolds3.   

Abstract

OBJECTIVE: To determine the acceptability of clinical interventions for depression prevention, identification of clinical characteristics associated with intervention engagement is needed. The purpose of this study is to describe levels and correlates of participant engagement in Problem Solving Therapy (PST) in adults 60 and older with subthreshold depression.
METHODS: As part of a clinical trial to prevent depression among older adults with subthreshold depression, participants who were randomized to receive PST completed 6-8 sessions in which they learned skills to solve self-selected problems that were contributing to stress and reduced quality of life. To measure participants' engagement with PST, interventionists completed 3 scales that rated participants' level of participation in problem solving activities, understanding of the multistep process of PST, and between-session homework effort. Using logistic regression, we examined whether physical health, level of cognitive function, gait speed, and disability served as correlates of engagement in the PST intervention.
RESULTS: Gait speed, a measure of physical and cognitive health, was significantly associated with engagement in PST. Participants who walked faster were more likely to engage with PST compared to participants who walked more slowly. No other baseline variables were significant correlates.
CONCLUSIONS: Older adults who walk more slowly may need alternative delivery methods to fully engage in PST. Gait speed reflects physical and cognitive health, and predicts frailty, disability, and psychomotor speed slowing. For these reasons, gait speed may be a marker for factors that will serve to predict poorer engagement in psychosocial interventions like PST.
Copyright © 2017 American Association for Geriatric Psychiatry. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Depression prevention; elderly; gait speed; problem-solving therapy; treatment engagement

Mesh:

Year:  2017        PMID: 28410857      PMCID: PMC5724523          DOI: 10.1016/j.jagp.2017.03.005

Source DB:  PubMed          Journal:  Am J Geriatr Psychiatry        ISSN: 1064-7481            Impact factor:   4.105


  27 in total

1.  Preventing depression in age-related macular degeneration.

Authors:  Barry W Rovner; Robin J Casten; Mark T Hegel; Benjamin E Leiby; William S Tasman
Journal:  Arch Gen Psychiatry       Date:  2007-08

2.  Rating chronic medical illness burden in geropsychiatric practice and research: application of the Cumulative Illness Rating Scale.

Authors:  M D Miller; C F Paradis; P R Houck; S Mazumdar; J A Stack; A H Rifai; B Mulsant; C F Reynolds
Journal:  Psychiatry Res       Date:  1992-03       Impact factor: 3.222

3.  Cost-effectiveness of a stepped care intervention to prevent depression and anxiety in late life: randomised trial.

Authors:  Petronella Van't Veer-Tazelaar; Filip Smit; Hein van Hout; Patricia van Oppen; Henriette van der Horst; Aartjan Beekman; Harm van Marwijk
Journal:  Br J Psychiatry       Date:  2010-04       Impact factor: 9.319

4.  Coaching in healthy dietary practices in at-risk older adults: a case of indicated depression prevention.

Authors:  Sarah T Stahl; Steven M Albert; Mary Amanda Dew; Michael H Lockovich; Charles F Reynolds
Journal:  Am J Psychiatry       Date:  2014-05       Impact factor: 18.112

5.  Most older pedestrians are unable to cross the road in time: a cross-sectional study.

Authors:  Laura Asher; Maria Aresu; Emanuela Falaschetti; Jennifer Mindell
Journal:  Age Ageing       Date:  2012-06-13       Impact factor: 10.668

6.  Preventing the onset of depressive disorders: a meta-analytic review of psychological interventions.

Authors:  Pim Cuijpers; Annemieke van Straten; Filip Smit; Cathrine Mihalopoulos; Aartjan Beekman
Journal:  Am J Psychiatry       Date:  2008-09-02       Impact factor: 18.112

Review 7.  Gait speed at usual pace as a predictor of adverse outcomes in community-dwelling older people an International Academy on Nutrition and Aging (IANA) Task Force.

Authors:  G Abellan van Kan; Y Rolland; S Andrieu; J Bauer; O Beauchet; M Bonnefoy; M Cesari; L M Donini; S Gillette Guyonnet; M Inzitari; F Nourhashemi; G Onder; P Ritz; A Salva; M Visser; B Vellas
Journal:  J Nutr Health Aging       Date:  2009-12       Impact factor: 4.075

8.  Problem-Solving Therapy in the Elderly.

Authors:  Dimitris N Kiosses; George S Alexopoulos
Journal:  Curr Treat Options Psychiatry       Date:  2014-03

9.  Creating a computer adaptive test version of the late-life function and disability instrument.

Authors:  Alan M Jette; Stephen M Haley; Pengsheng Ni; Sippy Olarsch; Richard Moed
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2008-11       Impact factor: 6.053

10.  The nonlinear relationship between gait speed and falls: the Maintenance of Balance, Independent Living, Intellect, and Zest in the Elderly of Boston Study.

Authors:  Lien Quach; Andrew M Galica; Richard N Jones; Elizabeth Procter-Gray; Brad Manor; Marian T Hannan; Lewis A Lipsitz
Journal:  J Am Geriatr Soc       Date:  2011-06-07       Impact factor: 5.562

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.