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

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.

2019 ◽  
Vol 70 (12) ◽  
pp. 1101-1109 ◽  
Author(s):  
Peter C. Lam ◽  
Dolly A. John ◽  
Hanga Galfalvy ◽  
Carol Kunzel ◽  
Roberto Lewis-Fernández

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S515-S516
Author(s):  
Lan Doan ◽  
Yumie Takata ◽  
Karen Hooker ◽  
Carolyn Mendez-Luck ◽  
and Veronica L Irvin

Abstract Cardiovascular disease (CVD) is the leading cause of death for Asian American (AA), Native Hawaiian, and Pacific Islander (NHPI) older adults, and AAs/NHPIs have not enjoyed decreases in CVD mortality rates, as have non-Hispanic whites (NHWs). Heterogeneity exists in the prevalence of traditional CVD risk factors for AAs/NHPIs. Health-related quality of life (HRQOL) reflect physical and mental burdens beyond clinical burdens, which may help explain discrepant CVD rates and risk factors in AAs/NHPIs. We examined HRQOL among NHW and AA/NHPI Medicare Advantage enrollees with and without a CVD (i.e., coronary artery disease, congestive heart failure, myocardial infarction, and stroke) using the Medicare Health Outcomes Survey. The sample included 655,914 older adults who were 65 years or older, self-reported as AA/NHPI or NHW, and were enrolled in Medicare Advantage plans in 2011-2015. HRQOL was measured using the Veterans RAND 12-item survey and is composed of a physical component score (PCS) and mental component score (MCS), where higher scores reflect better physical and mental health, respectively. Multivariable linear regression was used to explore HRQOL and CVD prevalence. Asian Indian, Filipino, Vietnamese, Other Asian, and NHPI subgroups had lower overall PCS, and all AA/NHPI subgroups had lower overall MCS, compared to NHWs. Among those reporting having any CVD, PCS varied by CVD outcomes and subgroups, whereas MCS was lower for all CVD outcomes and for all but one AA/NHPI subgroups (Japanese), compared to NHWs. Attention to mental health for AA/NHPI older adults could be important for the equitable realization of healthy aging.


2019 ◽  
Vol 18 (1) ◽  
Author(s):  
Ilham Alia ◽  
M.A. Fauzi ◽  
S.S Ismail ◽  
Ezmas Mahno ◽  
A W Ahmad ◽  
...  

Introduction: Foot ulcer is one of the most serious complications associated with diabetes mellitus that mat resulted in a disability and impairment of health related quality of life. Materials and Methods: The main objective of this cross-sectional study was to determine the factors adversely associated with quality of life among diabetic foot ulcer patients. Diabetic patients with evidence of diabetic foot ulcer attending outpatient orthopaedics and general surgical clinic of Hospital Tengku Ampuan Afzan were recruited into this study. A set of validated SF-36 questionnaire was employed to evaluate the health-related quality of life for each patient. This study was registered with the National Medical Research Register (NMRR registration no. 17-1520-36332). Results: There is a slightly higher proportion of female among the 104 respondents. Its prevalence is most pronounces in the lower income group. Majority presented with Wagner stage 2 and 3. Amputation has been performed in 54% of these patients. Physical health score fair worse than mental health. Age, low socioeconomic status, presence of comorbidities, major amputation, ulcer at the forefoot and wheelchair usage associated with an adverse effect on the physical health aspect in these patients. Interestingly, smoker seems to score better on the mental health aspect of the quality of life. Conclusion: Diabetic foot ulcer affected physical health aspect much more than mental health aspect within the context of the quality of life.


2022 ◽  
Vol 21 (1) ◽  
pp. 90-95
Author(s):  
Md Abdul Qader ◽  
AKM Abu Mottaleb ◽  
Naznin Akter Shetu ◽  
Raonokosh Salehin Khan ◽  
Tanjima Ahad Nisha ◽  
...  

Objectives: Assessment of health related quality of life (HRQOL) is an essential part of evaluation of end stage renal disease (ESRD) as we have conducted this study on haemodialysis patients to see the HRQOL and to asses and compare the parameters which influence physical and mental health. Materials and Methods: This was a single centre study on haemodialysis patients using Short Form 36 (SF-36) of Kidney Disease Quality of Life (KDQOL). All the eight domains of HRQOL were assessed individually as well as summary scores for mental health (MCS Mental composite summary) and physical health (PCS Physical composite summary) were also evaluated. The questionnaire was completed by patient themselves and the clinical data was extracted from the medical records with prior consent from the patient. Results and discussion: The study participants showed a female predominance of 66% with a lower PCS and MCS scores among female participants in comparison to their male counterparts. Overall summary scores showed a lower PCS (38.71±8.15) than MCS (42.79±11.6) which reflects better mental health than physical health in the study population. A multiple regression analysis showed, the presence of residual renal function (β= -0.421, p= 0.02), duration of dialysis (β= 0.405, p= 0.03) and haemoglobin less than 12g/dL (β= 0.379, p= 0.02) were significant predictors of MCS. Conclusion: HRQOL in haemodialysis patients are influenced by socio-demographic as well as clinical parameters. In our population, kidney disease affects physical health more than mental health and the reasons are multifactorial. Bangladesh Journal of Medical Science Vol. 21(1) 2022 Page : 90-95


Author(s):  
Mehdi Rezaei Far ◽  
Farzad Faraji-Khiavi

Background: Nurses face a lot of stress in their jobs, and the quality of life has a significant impact on the quality of their services. Therefore, the purpose of this study was to determine the relationship between general health and the quality of life conditions in nurses working in hospitals affiliated with Jundishapur University of Medical Sciences in Ahvaz. Methods: This cross-sectional descriptive-analytic study was conducted in 2017 on nurses working in educational hospitals in Ahvaz. The sample size was 265. A categorized random sampling was used for the research The collected data were analyzed using mean, standard deviation, independent t-test, ANOVA, regresson and Pearson correlation tests. Data collection tools included the general health questionnaire (GHQ) and the questionnaire on health-related quality of life (HRQOL). Results: Nurses had fairly good general health (23.9 ± 12.4) and their health-related quality of life was moderate (60.29 ± 16.07). Their physical health (63.4 ± 22.5) was found better than their mental health (61.7 ± 20.3) as a factor in the health-related quality of life states. General health had a strong and negative correlation with the quality of life associated with physical health (P-value < 0.001 and r = - 0.61) and the quality of life associated with mental health (P-value < 0.001 and r = - 0.68). Conclusion: Many aspects of health-related quality of life are influenced by general health factors. Therefore, it is recommended that prevention, identification, and treatment of physical and psychological problems and factors affecting the quality of life be considered as a priority, leading to an improvement in nurses’ quality of life.


2015 ◽  
Vol 76 (05) ◽  
pp. e632-e638 ◽  
Author(s):  
J. Christopher Fowler ◽  
Alok Madan ◽  
Jon G. Allen ◽  
Thomas Ellis ◽  
Jane Mahoney ◽  
...  

2018 ◽  
Vol 4 (2) ◽  
pp. 15-24
Author(s):  
Nidup Dorji ◽  
Michael P. Dunne ◽  
Charrlotte Seib ◽  
Sibnath Dep

Introduction: Health-related quality of life (HRQoL) is a multi-dimensional construct that assesses an individual’s and group’s perceived physical and mental health over time. Measurement of HRQoL is an important medical outcome study and its study among older adults in Bhutan is limited. Methods: This is a cross-sectional study aimed to assess HRQoL and its sociodemographic and health correlates, among older adults in Bhutan. Data for this study was collected from the four major towns of Thimphu, Phuntsholing, Gelephu, and Samdrupjongkhar, Bhutan, from November 2014 - February 2015, using structured questionnaire with face-to-face interview. A total of 337 Bhutanese older adults participated in this study. Statistical analysis was performed using statistical package for social science version 21.0. Results: The overall mean score for the HRQoL among older adults in this study was 0.67 (SD: 0.13) significantly different between the gender (p-value<0.001). A significantly low scores inthe areas of role limitations (p<0.05), pain (p<0.01), mental health (p<0.001), and vitality (p<0.05) of the HRQoL was observed for the female gender. Frequent back pain (67.1%), memory decline (60.5%), depression (46.0%) mobility impairment (45.4%), insomnia (42.1%), and problem affecting breathing (31.8%) were common health problems and were significantly higher among the female gender. Better health conditions was positively related with better HRQoL (p-value<0.001). Conclusions: Low HRQoL was reported higher among female gender and was linked to multiple and cumulative health morbidities. Members of the family, community and healthcare providers could incorporate holistic approach to foster positive health outcomes and HRQoL of the older adults.


Healthcare ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 407 ◽  
Author(s):  
Myung Kyung Lee ◽  
Jihyun Oh

This cross-sectional study aimed to explore the relationships among sociodemographics, health literacy, self-efficacy, social support, health-promoting behavior, and health-related quality of life (HRQOL) in older adults. A total of 240 older adults aged >65 years were recruited from three community senior welfare centers in South Korea. Standardized self-administered questionnaires measuring sociodemographic characteristics, health literacy, social support, self-efficacy, health-promoting behavior, and health-related quality of life were distributed to older adults. Multiple regression analyses with stepwise selection was used to determine the factors affecting health-related quality of life. Factors affecting a higher physical component score of HRQOL were a higher comprehension level of and numeracy in health literacy, physical health-promoting behavior, perceived emotional-informational support, and a lesser number of comorbidities. Factors affecting a higher mental component score of HRQOL were a higher comprehension level of and numeracy in health literacy, self-efficacy, physical health-promoting behavior, perceived emotional-informational support, and a lesser number of comorbidities. To improve HRQOL among older adults, nursing interventions are required to measure health literacy, empower physical health-promoting behavior and self-efficacy, and enhance emotional-informational support from family or other resources.


SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A143-A144
Author(s):  
Kelly Showen ◽  
Kathleen O’Hora ◽  
Beatriz Hernandez ◽  
Laura Lazzeroni ◽  
Jamie Zeitzer ◽  
...  

Abstract Introduction Insomnia affects 30–48% of older adults and impairs health-related quality of life (HRQoL). Numerous studies report Cognitive Behavioral Therapy (CBT-I) as an effective non-pharmacological treatment for insomnia symptoms, with few examining the impact of CBT-I on mental and physical aspects of HRQoL. While limited research suggests that CBT-I leads to improvements in HRQoL, the impact of the cognitive versus behavioral components of CBT-I on HRQoL is unknown. Methods 128 older adults with insomnia (mean age=69, 66% female, 19% minority) were randomized to receive cognitive therapy (CT), behavior therapy (BT), or CBT-I. The Short Form (36) Health Survey (SF-36) was collected at baseline, post-treatment and six-month follow-up. Split-plot linear mixed models with age and sex as covariates to assess within and between subject changes were used to test intervention, time, and interaction effects on the mental health and physical well-being domains of HRQoL. Significance for all effects was defined as p &lt; 0.05. The effect size (d) was calculated by dividing the difference between means by the root-mean-squared error of the mixed effects model. Results The mental health-related QoL improved over time independent of treatment (Main effect of time: F(2, 202) = 6.51, p &lt; 0.002). The interaction failed to reach significance (Interaction: F(4, 202) = 1.19, p = .31). Simple effects revealed significant improvements among CBT-I participants at six months (p = .02, d = .53) and CT participants at post-treatment (p = .00, d = .79) and six months (p = .03, d = .66), but not among BT participants for either time point (p = .32, d = .24; p = .16, d = .35). Treatment did not improve physical health-related QoL over time (F(2, 202) = 1.01, p = .37) nor was there a significant interaction (F(4, 202) = .46, p = .76). Conclusion These findings suggest that CBT-I, particularly the CT component, may be effective in improving mental health-related QoL outcomes for older adults with insomnia. In contrast, neither CBT-I nor its component treatments were effective in improving physical health-related QoL. Support (if any) NIMHR01MH101468-01; Mental Illness Research, Education, and Clinical Center (MIRECC) at the VAPAHCS


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