The Functional Recovery Scale in Schizophrenia (FRSS): Relationship to panss

2011 ◽  
Vol 26 (S2) ◽  
pp. 2073-2073
Author(s):  
P.-M. Llorca ◽  
L. Samalin ◽  
O. Blanc ◽  
Keyword(s):  
Social Functioning ◽  
Functional Recovery ◽  
Educational Level ◽  
Latent Variable ◽  
Negative Symptoms ◽  
Treatment Strategies ◽  
Well Being ◽  
Subjective Well Being ◽  
Cross Sectional ◽  
Quality Of Life Scale

Schizophrenia is a severe and disabling disorder, which affects multiple functional domains adversely.Several factors like premorbid functioning and psychopathological symptoms can affect functional outcome. Residual psychopathology after an acute exacerbation has a variable influence, going from a weak correlation to positive symptoms to clear association of negative symptoms with reduced social functioning to widespread influence of cognitive symptoms.We performed a cross-sectional evaluation in a sample of 296 schizophrenic patients for demographic, functional characteristics (using different scales: Functional Recovery Scale in Schizophrenia (FRSS), Subjective Well-being Scale (SWN-K), Quality of Life Scale (QLS)) and symptomatic (using the Positive and Negative Syndrome Scale (PANSS)). Exploratory multivariate analyses were conducted and a model with “functioning” as a latent variable was proposed and tested. Results: Using the 5 clinical dimensions of the PANSS, negative, cognitive and excitation factors are significant predictors of functioning. The model was constructed with “functioning” defined as a latent variable; indicators are sub-scores on FRSS, SWN-K, QLS and exogenous variables included symptomatology, Duration of Untreated Psychosis and educational level. The negative and cognitive dimensions are highly correlated via the latent variable to the 3 dimensions of functioning evaluated by the FRSS: “daily life”, “social functioning” and “treatment” and the QLS sub-scores (“interpersonal”, “common object”, “instrumental role”). Educational level is significantly linked to functioning but not DUP. The model emphasizes the need for treatment strategies that have an effect on negative and cognitive factors, to improve functioning in schizophrenia.

scholarly journals Associations between symptom severity and well-being among Thai patients with schizophrenia: a cross-sectional analytical study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Teerapat Teetharatkul ◽  
Arnont Vitayanont ◽  
Tippawan Liabsuetrakul ◽  
Warut Aunjitsakul
Keyword(s):  
Logistic Regression ◽  
Symptom Severity ◽  
Negative Symptoms ◽  
Rating Scale ◽  
Well Being ◽  
Self Report ◽  
Subjective Well Being ◽  
Multivariate Logistic Regression ◽  
Cross Sectional ◽  
Middle Income

Abstract Background Severity of symptoms in patients with schizophrenia is a determinant of patient’s well-being, but evidence in low- and middle-income countries is limited. We aimed to measure the symptom severity using objective measurements, the Brief Psychiatric Rating Scale (BPRS) and Clinical Global Impression-Severity scale (CGI-S), and their associations with well-being in patients with schizophrenia. Methods Patients with schizophrenia aged ≥18 years, without active psychosis including no history of hospitalization within the last 6 months, were included. Symptom severity was measured by the clinicians using BPRS and CGI-S. The patients’ well-being was assessed by self-report using the Subjective Well-being under Neuroleptic treatment scale (SWN) as continuous and binary outcomes (categorized into adequate or poor well-being). Correlations between symptom severity (BPRS and CGI-S scores) and well-being (SWN score) were analyzed using Pearson’s correlation. Association between well-being status and BPRS was analyzed using multivariate logistic regression. Results Of 150 patients, BPRS and CGI-S were inversely correlated with SWN score (r = − 0.47; p < 0.001 and − 0.21; p < 0.01, respectively). BPRS Affect domain had the highest correlation with SWN (r = − 0.51, p < 0.001). In multivariate logistic regression, BPRS score and being unemployed were associated with poor well-being status (adjusted OR 1.08; 95%CI 1.02–1.14; p = 0.006, and 4.01; 95%CI 1.38–11.7; p = 0.011, respectively). Conclusion Inverse relationships between symptom severity and well-being score were found. Higher BPRS Affect domain was significantly associated with lower patients’ well-being. The use of BPRS tool into routine clinical practice could serve as an adjunct to physician’s clinical evaluation of patients’ symptoms and may help improve patient’s well-being. Further research on negative symptoms associated with well-being is required.

ASSOCIATION OF SOCIOECONOMIC STATUS WITH SUCCESSFUL AGEING: DIFFERENCES IN THE COMPONENTS OF SUCCESSFUL AGEING

2009 ◽  
Vol 41 (2) ◽  
pp. 207-219 ◽  
Author(s):  
SOONG-NANG JANG ◽  
YONG-JUN CHOI ◽  
DONG-HYUN KIM
Keyword(s):  
Socioeconomic Status ◽  
Social Functioning ◽  
Educational Level ◽  
Household Income ◽  
Mental Disease ◽  
Well Being ◽  
Personal Income ◽  
Subjective Well Being ◽  
Successful Ageing ◽  
Mental Functioning

SummaryThis study sought to determine which factors among the indicators of socioeconomic status have the most influence on physical, mental and social functions, and on subjective well-being, all of which are components of successful ageing. A representative random sample of 1825 persons aged 65 years or older was surveyed by face-to-face interview. Socioeconomic status was measured by educational level, family household income, personal income and property ownership. The factors measured were chronic diseases, activities of daily living (ADL) for physical functioning, history of mental disease, Mini-Mental Status Examination questionnaire (MMSE) scores for mental functioning, social activity participation per week for social functioning, and the Philadelphia Geriatric Center Morale Scale (PGCMS) for subjective well-being. Multiple logistic regression analyses were performed. Education level was the most important factor in physical and mental functioning, whereas personal income was the most important in social functioning. Educational level, household income and personal income were significantly associated with subjective well-being as assessed by PGCMS scores. Subjects who demonstrated successful ageing were more likely to have a higher education and higher personal income. The results point to the importance of focusing on disparities in each component of successful ageing, which may point to appropriate health-promotion strategies for eliminating inequality in successful ageing.

Conflict Avoidance in Old Age

GeroPsych ◽  
2017 ◽  
Vol 30 (2) ◽  
pp. 61-70 ◽  
Author(s):  
Lia Oberhauser ◽  
Andreas B. Neubauer ◽  
Eva-Marie Kessler
Keyword(s):  
Social Support ◽  
Perceived Social Support ◽  
Well Being ◽  
Cross Sectional Study ◽  
Conflict Avoidance ◽  
Subjective Well Being ◽  
Sectional Study ◽  
Cross Sectional ◽  
Adult Lifespan ◽  
Set Up

Abstract. Conflict avoidance increases across the adult lifespan. This cross-sectional study looks at conflict avoidance as part of a mechanism to regulate belongingness needs ( Sheldon, 2011 ). We assumed that older adults perceive more threats to their belongingness when they contemplate their future, and that they preventively react with avoidance coping. We set up a model predicting conflict avoidance that included perceptions of future nonbelonging, termed anticipated loneliness, and other predictors including sociodemographics, indicators of subjective well-being and perceived social support (N = 331, aged 40–87). Anticipated loneliness predicted conflict avoidance above all other predictors and partially mediated the age-association of conflict avoidance. Results suggest that belongingness regulation accounts may deepen our understanding of conflict avoidance in the second half of life.

scholarly journals Individual differences and changes in lifestyle behaviours predict decreased subjective well-being during COVID-19 restrictions in an Australian sample

2021 ◽  
Author(s):  
Emily Brindal ◽  
Jillian C Ryan ◽  
Naomi Kakoschke ◽  
Sinead Golley ◽  
Ian T Zajac ◽  
...  
Keyword(s):  
Life Satisfaction ◽  
Individual Differences ◽  
Online Survey ◽  
Protective Factor ◽  
Health Behaviours ◽  
Well Being ◽  
Subjective Well Being ◽  
Cross Sectional ◽  
Social Distancing ◽  
Australian Sample

Abstract Background Due to the coronavirus disease 2019 (COVID-19) pandemic, social distancing practices were introduced to curb infection rates in many countries. The purpose of this study was to assess the effects of these restrictions on behaviours and well-being and whether individual differences predict changes in well-being. Methods Australian adults participated in a cross-sectional, online survey during May 2020. The survey captured demographic information; health behaviours; personality traits; life satisfaction and COVID-19-related attitudes, financial concerns, perceived risks and impacts. Results In total, 3745 (86.8% of 4313) participants completed all items. Participants were mostly female (85.7%) and 56.4 years (standard deviation [SD] = 12.6) on average. Over 95.0% of the sample indicated they had been social distancing or isolating. Health behaviours and well-being had generally worsened, with social connections being the most negatively affected. Life satisfaction was significantly lower since restrictions. For changes in life satisfaction, extroversion was a risk factor and openness to experience was a protective factor. Conclusions Overall, well-being was negatively impacted by the COVID-19 pandemic and associated social distancing particularly in this sample containing mainly older women. In future, it will be crucial to understand why and who may be differentially affected, to encourage behaviours that are protective of well-being.

scholarly journals Factors beyond Workplace Matter: The Effect of Family Support and Religious Attendance on Sustaining Well-Being of High-Technology Employees

Healthcare ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 602
Author(s):  
Ing-Chung Huang ◽  
Pey-Lan Du ◽  
Long-Sheng Lin ◽  
Tsai-Fei Lin ◽  
Shu-Chun Kuo
Keyword(s):  
Family Support ◽  
Work Engagement ◽  
Spillover Effect ◽  
High Technology ◽  
Well Being ◽  
Moderating Effect ◽  
Religious Attendance ◽  
Subjective Well Being ◽  
Cross Sectional ◽  
Support Work

Background: Apart from the workplace, drawing support from family and religion is critical to maintaining the well-being of high-technology employees. Relying on the job demands-resources model and the positive affective spillover effect, the aim of this study was to investigate the mediated relationship of family support, work engagement and subjective well-being, and the moderating effect of religious attendance on the mediated relationship. Methods: A cross-sectional research design was adopted. Mediation and moderated mediation were tested using the PROCESS macro v3.5 for the SPSS supplement. Purposive sampling was used for the distribution of questionnaires to high-technology employees in Taiwan. Results: Results from the data of 603 high-technology employees indicated that family support, work engagement, and subjective well-being exhibited a significant mediated relationship, and the mediated relationship was stronger among individuals with religious attendance experience. Conclusions: This study emphasizes the driving effect of family support on high-technology employee well-being and the moderating effect of religious attendance as a situational strength. We recommend closely attending to employee well-being because doing so is conducive to both the personal quality of life of employees and the sustainable development of organizations.

Public Sector Employment, Quality of Government, and Well-Being: A Global Analysis

2021 ◽  
pp. 223386592110117
Author(s):  
Robert Davidson ◽  
Alexander Pacek ◽  
Benjamin Radcliff
Keyword(s):  
Public Sector ◽  
Global Analysis ◽  
Well Being ◽  
Subjective Well Being ◽  
Cross Sectional ◽  
Political Factors ◽  
The Public ◽  
Employment Quality ◽  
The Impact

While a growing literature within the study of subjective well-being demonstrates the impact of socio-political factors on subjective well-being, scholars have conspicuously failed to consider the role of the size and scope of government as determinants of well-being. Where such studies exist, the focus is largely on the advanced industrial democracies of the Organization for Economic Co-Operation and Development. In this study, we examine the size of the public sector as a determinant of cross-national variation in life satisfaction across a worldwide sample. Our findings strongly suggest that as the public sector grows, subjective well-being increases as well, conditional on the extent of quality of government. Using cross-sectional data on 84 countries, we show this relationship has an independent and separable impact from other economic and political factors.

scholarly journals Cross-Sectional Model-Building for Research on Subjective Well-Being: Gaining Clarity on Control Variables

2021 ◽  
Author(s):  
David Bartram
Keyword(s):  
Model Building ◽  
Well Being ◽  
Directed Acyclic Graphs ◽  
Subjective Well Being ◽  
Social Scientists ◽  
Cross Sectional ◽  
Acyclic Graphs ◽  
Standard Set ◽  
Substantial Bias ◽  
Parsimonious Model

AbstractHappiness/well-being researchers who use quantitative analysis often do not give persuasive reasons why particular variables should be included as controls in their cross-sectional models. One commonly sees notions of a “standard set” of controls, or the “usual suspects”, etc. These notions are not coherent and can lead to results that are significantly biased with respect to a genuine causal relationship.This article presents some core principles for making more effective decisions of that sort.  The contribution is to introduce a framework (the “causal revolution”, e.g. Pearl and Mackenzie 2018) unfamiliar to many social scientists (though well established in epidemiology) and to show how it can be put into practice for empirical analysis of causal questions.  In simplified form, the core principles are: control for confounding variables, and do not control for intervening variables or colliders.  A more comprehensive approach uses directed acyclic graphs (DAGs) to discern models that meet a minimum/efficient criterion for identification of causal effects.The article demonstrates this mode of analysis via a stylized investigation of the effect of unemployment on happiness.  Most researchers would include other determinants of happiness as controls for this purpose.  One such determinant is income—but income is an intervening variable in the path from unemployment to happiness, and including it leads to substantial bias.  Other commonly-used variables are simply unnecessary, e.g. religiosity and sex.  From this perspective, identifying the effect of unemployment on happiness requires controlling only for age and education; a small (parsimonious) model is evidently preferable to a more complex one in this instance.

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