Psychosocial factors and health as determinants of quality of life in community-dwelling older adults

Brett, Clare; Gow, Alan J.; Corley, Janie; Pattie, Alison; Starr, John M.; Deary, Ian J.

doi:10.1007/s11136-011-9951-2

Cited by 79 publications

(86 citation statements)

References 57 publications

(86 reference statements)

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“…In other words, higher neuroticism scores on CI were associated with more frequent reporting of SBS symptoms. New reports using WHOQOL-BREF in a large elderly sample support our fi ndings, stressing the benefi cial role of emotional stability on the subjective estimation of quality of life (18).…”

Section: Relation Between Neuroticism and The Estimation Of Quality Osupporting

confidence: 81%

Subjective Estimation of the Quality of Life in Relation to Neuroticism

Bobić¹

2012

Archives of Industrial Hygiene and Toxicology

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It is generally agreed that personality variables have a relatively consistent infl uence on the subjective estimation of different situations in everyday life and the way people react to them. The aim of this review was to summarise our previously published fi ndings on the relationship between subjective estimation of one's quality of life and the personality trait neuroticism-emotional stability. We used the WHO Quality of Life -BREF or SF-36 questionnaires for the assessment of the quality of life, Cornell Index for the assessment of neuroticism, and The Social Readjustment Rating Scale for the evaluation of common stressors. Our results have shown that more emotionally stable participants (lower neuroticism) perceive their life better in quality and are more satisfi ed with their work environment. In addition, our results support the fi ndings from other studies that women have higher neuroticism and lower quality of life scores than men. Arh Hig Rada Toksikol 2012;63 Supplement 1: 17-22 The World Health Organization defi nes the quality of life as "an individuals' perceptions of their position in life in the context of the culture and value systems in which they live and in relation to their goals, expectations, standards and concerns" (1). This wide concept includes a person's physical and psychological state as well as his or her social relationships, personal beliefs, and the degree of independence, all of which are rooted in a cultural, social, and environmental framework. KEY WORDS: Cornell Index, emotional stability, neuroticism, quality of life, SF-36 WHOQOL-BREF Bobić J. NEUROTICISM AND QUALITY OF LIFEIn a few of our recent studies we aimed to objectify the relationship between some personality traits and the estimation of one's quality of life, beside some other goals that are not the subject of this review. This review will summarise and discuss our published results that are based on correlations found between the subjective estimation of the quality of life and the personality variable neuroticism-emotional stability.Individuals' perception of their own quality of life does not refl ect the objective condition in terms of health status, mental state, social or fi nancial position, but is rather a result of a person's characteristic pattern of behaviour that is usually strongly infl uenced by personality. As personality traits are stable, behavioural patterns and hence individual perception do not change much even in very different life situations. Personality traits may help to understand the way people see themselves and other people, the way they interpret occurrences in the environment, and the way they react emotionally to different situations. In a broad quality of life study, Wrosch and Scheier (2) stressed the importance of personality factors in the sense that "personality factors can impact on the way in which people approach life circumstances or on the kinds of outcomes people receive, which in turn can impact favourably or unfavourably on quality of life". 18 METHODSSince our re...

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Section: Relation Between Neuroticism and The Estimation Of Quality Osupporting

confidence: 81%

Subjective Estimation of the Quality of Life in Relation to Neuroticism

Bobić¹

2012

Archives of Industrial Hygiene and Toxicology

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“…24 The negative association between quality of life and anxiety and depression symptoms measured by the HADS was also found in the study by Brett et al in a population of 1,641 elderly persons in a linear regression analysis. 18 Depression increases the feeling of functional disability, impairs the quality of social relationships and treatment adherence, and contributes to substantial impairment in the patient's quality of life. 25,26 Our results reinforced that, in a Brazilian sample from a tertiary outpatient clinic, psychiatric symptoms, especially depression, have a negative impact on patients, even considering any variable or medical disease.…”

Section: Discussionmentioning

confidence: 99%

Variables associated with health-related quality of life in a Brazilian sample of patients from a tertiary outpatient clinic for depression and anxiety disorders

Schwab

Daniel

Lutkemeyer

et al. 2015

Trends Psychiatry Psychother.

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Introduction: Health-related quality of life (HRQOL) assessment tools have been broadly used in the medical context. These tools are used to measure the subjective impact of the disease on patients. The objective of this study was to evaluate the variables associated with HRQOL in a Brazilian sample of patients followed up in a tertiary outpatient clinic for depression and anxiety disorders. Method: Cross-sectional study. Independent variables were those included in a sociodemographic questionnaire and the Hospital Anxiety and Depression Scale (HADS) scores. Dependent variables were those included in the short version of the World Health Organization Quality of Life (WHOQOL-BREF) and the scores for its subdomains (overall quality of life and general health, physical health, psychological health, social relationships, and environment). A multiple linear regression analysis was used to find the variables independently associated with each outcome. Results: Seventy-five adult patients were evaluated. After multiple linear regression analysis, the HADS scores were associated with all outcomes, except social relationships (p = 0.08). Female gender was associated with poor total scores, as well as psychological health and environment. Unemployment was associated with poor physical health. Conclusion: Identifying the factors associated with HRQOL and recognizing that depression and anxiety are major factors are essential to improve the care of patients.

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“…Several authors have studied determinants of QoL in older adults (Sloane et al 2005;Hoi et al 2010;Brett et al 2012). A national survey on dependency done in Chile in 2010 showed that QoL in the older individuals is influenced by socio-economic and health-related factors, such as education, number of chronic diseases, self-perceived symptoms of depression and difficulties in activities of daily living (ADL), (SENAMA 2010).…”

Section: Introductionmentioning

confidence: 99%

Validity and reliability of the SF-36 in Chilean older adults: the ALEXANDROS study

et al. 2013

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To validate short-form-36 health survey (SF-36) with specific scoring algorithm obtained in a large sample of Chilean older people and to associate quality of life in this sample with social and health related factors. A cross-sectional study on 2,143 community-living subjects aged 60-92 years (33 % men and 67 % women) conducted in Santiago, Chile. Scores in 8 scales of SF-36-physical function (PF), role physical (RP), bodily pain (BP), general health (GH), vitality (VT), social functioning (SF), role emotional (RE) and mental health (MH)-, were calculated. Factor analysis was used to extract two principal factors and logistic regression model was applied to estimate its association with socio-demographic and health variables. The internal consistency of scales was high (Cronbach's alpha 0.86-0.87). Factor analysis retained two factors: mental (MCS) and physical (PCS) components accounting for 65.3 % of total variance (55.3 and 10.0 % respectively). High correlations (0.61-0.94) between MCS and MH, V, RE and SF were obtained. PCS correlated highest (0.72-0.86) with RP, PF and BP. Self-perceived symptoms of depression (GDS-15 C5) was the main variable explaining low scores in both MCS and PCS (adjusted OR = 26.9; 95 % CI: 15.3-47.2; OR = 3.4; 95 % CI: 2.1-5.5, respectively). We have demonstrated the reliability and validity of SF-36 questionnaire to evaluate health related quality of life, reporting Chilean-Specific factor score coefficients for MCS and PCS based in national Chilean means and standard deviations for older people. After adjusting by age and gender, the main predictors of low health related QoL in Chilean older people were selfperceived symptoms of depression, the presence of two or more chronic diseases and illiteracy. Important gender inequalities were observed in all of these results, being consistently less favorable in women than in men.

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Psychosocial factors and health as determinants of quality of life in community-dwelling older adults

Cited by 79 publications

References 57 publications

Subjective Estimation of the Quality of Life in Relation to Neuroticism

Subjective Estimation of the Quality of Life in Relation to Neuroticism

Variables associated with health-related quality of life in a Brazilian sample of patients from a tertiary outpatient clinic for depression and anxiety disorders

Validity and reliability of the SF-36 in Chilean older adults: the ALEXANDROS study

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