THE ROLE OF STIGMA COPING AND SOCIAL SUPPORT IN MEDIATING THE EFFECT OF SOCIETAL STIGMA ON INTERNALIZED STIGMA, MENTAL HEALTH RECOVERY, AND QUALITY OF LIFE AMONG PEOPLE WITH SERIOUS MENTAL ILLNESS

2013 ◽  
Vol 41 (5) ◽  
pp. 582-600 ◽  
Author(s):  
Julie Chronister ◽  
Chih-Chin Chou ◽  
Hsin-Ya Liao
Keyword(s):  
Quality Of Life ◽  
Mental Health ◽  
Social Support ◽  
Mental Illness ◽  
Serious Mental Illness ◽  
Mental Health Recovery ◽  
Internalized Stigma ◽  
Societal Stigma

scholarly journals PREDICTORS OF HEALTH-RELATED QUALITY OF LIFE AND RECOVERY AMONG OLDER ADULTS WITH SERIOUS MENTAL ILLNESS

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S877-S877
Author(s):  
Anjana Muralidharan ◽  
Clayton H Brown ◽  
Richard W Goldberg
Keyword(s):  
Quality Of Life ◽  
Mental Health ◽  
Older Adults ◽  
Mental Illness ◽  
Physical Health ◽  
Serious Mental Illness ◽  
Health Related Quality ◽  
Related Quality ◽  
Health Related

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.

scholarly journals Social Determinants of Health for People With Serious Mental Illness After Transitioning to the Community

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 32-33
Author(s):  
Kathy Kellett ◽  
Kaleigh Ligus ◽  
Kristin Baker ◽  
Julie Robison
Keyword(s):  
Quality Of Life ◽  
Mental Health ◽  
Health Care ◽  
Mental Illness ◽  
Serious Mental Illness ◽  
Social Determinants ◽  
Community Context ◽  
Improve Quality ◽  
Social Community

Abstract Approximately 10 million, or 6 percent, of the U.S. population experience serious mental illness (SMI) (NAMI, 2019). Social determinants of health (SDOH) associated with this population can provide important information for targeted innovations with the potential to reduce disease burden and improve quality of life. Using secondary data from Connecticut’s Money Follows the Person Rebalancing Demonstration, this research compares people age 50+ who transitioned out of an institution onto the Medicaid HCBS Mental Health Waiver (MHW) (n= 271) to those receiving Mental Health services through the Medicaid State Plan (MHSP) (n=278). Analyses examine SDOH in both groups and are organized around five broad domains: Finances; education; social/community context, health/health care, and neighborhood/built environment. MHSP participants were significantly more likely to report not having enough money at the end of the month at 6 (42% vs. 21%), 12 (37% vs. 20%), and 24 (37% vs. 17%) months. Significantly more MHSP than MHW participants did not like where they lived at 6 (12% vs. 1%) and 24 (24% vs. 5%) months. Significantly more MHSP than MHW participants were unhappy with the help they received in the community at 6 (22% vs. 8%), 12 (23% vs. 7%), and 24 (19% vs. 5%) months. Groups did not differ by education, social/community context, health/health care, feelings of safety where they live, or on post-transition hospitalizations, ED use or reinstitutionalization. To improve quality of life in the community, MHSP participants could benefit from greater assistance with finances, housing, and community services.

scholarly journals Role of Social Support and Ego Network Characteristics on Quality of Life

2021 ◽  
Vol 20 (3) ◽  
pp. 637-654
Author(s):  
David C. Kondrat ◽  
W. Patrick Sullivan ◽  
Kelli E. Canada ◽  
Jeremiah W. Jaggers
Keyword(s):  
Quality Of Life ◽  
Mental Health ◽  
Social Support ◽  
Social Networks ◽  
Mental Illness ◽  
Severe Mental Illness ◽  
Mental Health Court ◽  
Mental Health Courts ◽  
Network Characteristics

Mental health courts offer alternatives to incarceration for persons with severe mental illness who are involved in the criminal justice system. These courts have the dual function of ensuring treatment for persons involved in the court as well as ensuring the safety of the public. Persons with severe mental illness who are involved in mental health courts rely on others for support, such as family members. Others may buttress the participant from engaging in criminal activities and provide for needs of the participant. The supportiveness as well as the composition of one’s network members may play a role in the success of mental health court participants, such as successfully completing the mental health court program and avoiding incarceration. Little research has explored how social support impacts mental health court participants. We explored how the composition and sense of support of network members were associated with mental health court participants’ quality of life. We regressed quality of life on social support and network characteristics of 80 participants in two mental health courts. Findings suggest that perceived support is positively associated with quality of life, and the proportion of family in one’s network was negatively related to quality of life. Findings suggest that persons involved in mental health courts need supportive others in their social networks in addition to family. More research is needed to explore the reasons having a higher proportion of family members in one’s network is associated with lower quality of life. Practitioners need to pay attention to and leverage mental health court participants’ social networks to help improve their quality of life.

scholarly journals Perceived quality of life and associated factors among patients with severe mental illness in Ethiopia: a cross-sectional study

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Seid Shumye ◽  
Tadele Amare ◽  
Habtamu Derajew ◽  
Merdia Endris ◽  
Wondwosen Molla ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Mental Health ◽  
Social Support ◽  
Mental Illness ◽  
Severe Mental Illness ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
The Mean

Abstract Background Severe mental illness is strongly associated with an impaired quality of life. This intern can affect the treatment adherence and outcomes of the illness. However, there are insufficient studies in the literature pertaining to the quality of life of patients with severe mental illness in Ethiopia. Therefore, assessing the quality of life of patients with severe mental illness and its correlates is a yardstick measure of the effectiveness of the mental health service. Methods An institutional based cross-sectional study was conducted from May 1 to 16, 2019 at Amanuel Mental Specialized Hospital. A systematic random sampling technique was used to get a total number of 387 samples. Data were collected using interview-administered questionnaires; World Health Organization Quality of Life Brief Version, Morisky Medication Adherence Screening Tool, Oslo Social Support Scale, and Jacoby Stigma Scale. Simple and multiple linear regression analysis were used to assess the contributing factors of quality of life in the participants and B coefficient with 95% CI confidence interval was used. The statistical significance was accepted at p value < 0.05. Results The result showed that the Mean quality of life score of patients with severe mental illness for each domain (mean ± SD) was 41.3 ± 7.5, 42.8 ± 8.2, 38.9 ± 8.9, and 41.8 ± 6.5 for physical, psychological, social and environmental, respectively. Multiple regression analysis showed that age of participants was strongly positively correlated with all domains of quality of life. It predicts above 45% of the variability in each domain. Social support is also another strong predictor which was negatively correlated with all domains of quality of life, except physical. Conclusion This study revealed that the mean score quality of life of patients with severe mental illness in each domain was low. This demonstrates a need for improving the quality of life of people with severe mental illness by integration of a positive mental health approach and bio-psychosocial view with biological treatment of severe mental illness. Moreover, in Collaboration with medical professionals, people with severe mental illness should screen and managed for any comorbid medical conditions.

Quality of Life, Physical Activity Level and Psychological Profile of Nigerians with Serious Mental Illness and Healthy Psychotropic Naive Subjects (Preprint)

2020 ◽  
Author(s):  
Christian Arinze Okonkwo ◽  
Peter Olarenwaju Ibikunle ◽  
Izuchukwu Nwafor ◽  
Andrew Orovwigho
Keyword(s):  
Quality Of Life ◽  
Physical Activity ◽  
Mental Illness ◽  
Serious Mental Illness ◽  
Activity Level ◽  
Psychological Profile ◽  
Cross Sectional Survey ◽  
Significant Difference ◽  
Apparently Healthy

BACKGROUND Quality of life (QoL), physical activity (PA) level and psychological profile (PF) of patients with serious mental illness have been neglected during patient’s management OBJECTIVE The purpose of this study was to determine the effect of selected psychotropic drugs on the QoL, PA level and PF of patients with serious mental illness METHODS A cross sectional survey involving one hundred and twenty-four subject [62 Serious Mental Illness (SMI) and 62 apparently healthy subjects as control] using purposive and consecutive sampling respectively .Questionnaires for each of the constructs were administered to the participants for data collation. Analysis of the data was done using non parametric inferential statistics of Mann-Whitney U independent test and Spearman’s rho correlation with alpha level set as 0.05. RESULTS Significant difference was recorded in the QoL (p<0.05) of patient with SMI and apparently healthy psychotropic naive participants. There was a significant correlation between the QoL (p<0.05) and PF of participants with SMI. Participants with SMI had significantly lower QoL than apparently healthy psychotropic naive subject. QoL of the healthy psychotropic naive group was better than those of the participants with SMI. Female participants with SMI had higher PA than their male counterparts CONCLUSIONS Psychological profiles of male participants with SMI were lower than male healthy psychotropic naive participants. Clinicians should take precaution to monitor the QoL, PA level and PF because the constructs are relevant in evaluation of treatment outcome.

Sign in / Sign up

Export Citation Format

Share Document