Sleep quality and its relationship to mental health, physical health and health behaviours among young adults with serious mental illness enrolled in a lifestyle intervention trial

Author(s):  
Kelly A. Aschbrenner ◽  
John A. Naslund ◽  
Jessica K. Salwen‐Deremer ◽  
Julia Browne ◽  
Stephen J. Bartels ◽  
...  
2008 ◽  
Vol 25 (3) ◽  
pp. 108-115
Author(s):  
Majella Cahill ◽  
Anne Jackson

AbstractDeveloping effective models of identifying and managing physical ill health amongst mental health service users has become an increasing concern for psychiatric service providers. This article sets out the general professional and Irish statutory obligations to provide physical health monitoring services for individuals with serious mental illness. Review and summary statements are provided in relation to the currently available guidelines on physical health monitoring.


2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S877-S877
Author(s):  
Anjana Muralidharan ◽  
Clayton H Brown ◽  
Richard W Goldberg

Abstract Older adults with serious mental illness (i.e., schizophrenia spectrum disorders and affective psychoses) exhibit marked impairments across medical, cognitive, and psychiatric domains. The present study examined predictors of health-related quality-of-life and mental health recovery in this population. Participants (N=211) were ages 50 and older with a chart diagnosis of serious mental illness and a co-occurring medical condition, engaged in outpatient mental health services at a study site. Participants completed a battery of assessments including subtests from the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS), the 24-Item Behavior and Symptom Identification Scale (BASIS-24), the 12-Item Short-Form Health Survey (SF-12), and the Maryland Assessment of Recovery Scale (MARS). Multiple linear regression analyses, with age, race, gender, and BMI as covariates, examined number of current medical conditions, RBANS, and BASIS as predictors of quality-of-life and recovery. Significant predictors of physical health-related quality-of-life (R-squared=.298, F(9,182)=8.57, p<.0001) were number of medical conditions (β=-1.70, p<.0001), BASIS-Depression/Functioning (β=-4.84, p<.0001), and BASIS-Psychosis (β=2.39, p<.0008). Significant predictors of mental health-related quality-of-life (R-squared=.575, F(9,182)=27.37, p<.0001) were RBANS (β=0.03, p=.05), BASIS-Depression/Functioning (β=-6.49, p<.0001), BASIS-Relationships (β=-3.17, p<.0001), and BASIS-Psychosis (β=-1.30, p=.03). Significant predictors of MARS (R-squared=.434, F(9,183)=15.56, p<.0001) were BASIS-Depression/Functioning (β=-4.68, p=.002) and BASIS-Relationships (β=-9.44, p<.0001). To promote holistic recovery among older adults with serious mental illness, integrated interventions are required. For example, to improve physical health-related quality-of-life, one should target depression and psychotic symptoms as well as medical illness burden. To improve mental health-related quality-of-life, depression symptoms and interpersonal functioning may be key targets, as well as neurocognitive function.


10.2196/19860 ◽  
2020 ◽  
Vol 4 (10) ◽  
pp. e19860
Author(s):  
Minda A Gowarty ◽  
Nathan J Kung ◽  
Ashley E Maher ◽  
Meghan R Longacre ◽  
Mary F Brunette

Background Young adults with serious mental illness are over twice as likely to have tobacco use disorder than those in the general population and are less likely to utilize proven treatment methods during quit attempts. However, little research has evaluated the efficacy of interventions for this group. Smartphone apps may be an underutilized tool for tobacco use disorder among young adults with serious mental illness. Objective The aim of this study was to explore attitudes toward smoking cessation apps and preferences regarding app design in young adult smokers with serious mental illness. Methods Five focus groups involving 25- to 35-year-old adults with serious mental illness receiving treatment at a community mental health center were conducted between May 2019 and August 2019. Three researchers independently coded transcripts and identified themes using thematic analysis. Results Participants (n=22) were individuals who smoke daily: 10 (46%) self-identified as female, 18 (82%) self-identified as White, and 9 (41%) had psychotic disorders. Key themes that emerged included a general interest in using health apps; a desire for apps to provide ongoing motivation during a quit attempt via social support, progress tracking, and rewards; a desire for apps to provide distraction from smoking; concerns about app effectiveness due to a lack of external accountability; and concerns that apps could trigger cravings or smoking behavior by mentioning cigarettes or the act of smoking. Conclusions Apps have the potential to support smoking cessation or reduction efforts among young adults with serious mental illness. However, they may require tailoring, optimization, and clinical support to effectively promote cessation in this population.


2021 ◽  
pp. appi.ps.2020007
Author(s):  
Emma E. McGinty ◽  
Rachel Presskreischer ◽  
Joshua Breslau ◽  
Jonathan D. Brown ◽  
Marisa Elena Domino ◽  
...  

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