Www.monash.edu.au Dianne Vella-Brodrick. Comparison of sociodemographic, personality and social...

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www.monash.edu.au Dianne Vella-Brodrick. Comparison of sociodemographic, personality and social support variables as predictors of quality of life. Thanks to Kate Murray, Katherine Andrews, Patricia Masino and Ingrid Jurgensen for assistance with the data collection.
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Page 1: Www.monash.edu.au Dianne Vella-Brodrick. Comparison of sociodemographic, personality and social support variables as predictors of quality of life. Thanks.

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Dianne Vella-Brodrick.

Comparison of sociodemographic, personality and social support variables as predictors of quality of life.Thanks to Kate Murray, Katherine Andrews, Patricia Masino and Ingrid Jurgensen for assistance with the data collection.

Page 2: Www.monash.edu.au Dianne Vella-Brodrick. Comparison of sociodemographic, personality and social support variables as predictors of quality of life. Thanks.

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Subjective Well-being

• The ‘good life’ is valued highly by individuals.• Subjective Well-being (SWB) is a scientific term

that denotes the ‘good life’.• It comprises:

– An affective component (high positive affect and low negative affect)

– A cognitive component (satisfaction with life)– Domain specific (e.g., work, family)

(Diener, Suh, Lucas & Smith, 1999)• The measurement of Quality of Life (QoL) can

include a combination of these factors depending on the measure used.

Page 3: Www.monash.edu.au Dianne Vella-Brodrick. Comparison of sociodemographic, personality and social support variables as predictors of quality of life. Thanks.

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What makes people ‘feel good’?

• A multitude of variables have been examined as predictors of SWB.– Sociodemographic factors

– Personality

– Social support

Page 4: Www.monash.edu.au Dianne Vella-Brodrick. Comparison of sociodemographic, personality and social support variables as predictors of quality of life. Thanks.

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Sociodemographic variables

• Age (mixed findings)• Sex (mixed findings)• Relationship status (married people have

higher SWB)• SES - income, education, employment. (mixed

findings but a weak positive relationship generally)

• Illness (is inversely related to SWB).

Only about 8-20% of the variance in SWB accounted for by sociodemographic variables.

Author
The slide may be enhanced by stating that the points pertain to previous SBW findings in relation to sociodemographic variables
Page 5: Www.monash.edu.au Dianne Vella-Brodrick. Comparison of sociodemographic, personality and social support variables as predictors of quality of life. Thanks.

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Wilson (1967)

The happy person is a:

“young, healthy, well-educated, well paid, extroverted, optimisitic, worry-free, religious, married person with high self-esteem, job moarale, modest aspirations, of either sex and of a wide range of intelligence” (p. 294).

Author
? spelling
Author
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Page 6: Www.monash.edu.au Dianne Vella-Brodrick. Comparison of sociodemographic, personality and social support variables as predictors of quality of life. Thanks.

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Personality

• Extraversion (positive affect)• Neuroticism (negative affect)• Conscientiousness• Agreeableness• Openness (weakest predictor of SWB)

Author
A more descriptive title would help explain the content of this slide
Page 7: Www.monash.edu.au Dianne Vella-Brodrick. Comparison of sociodemographic, personality and social support variables as predictors of quality of life. Thanks.

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Social Support (Social Capital)

• A type of relationship transaction between individuals (Zimet et al., 1988)

• Can be emotional, instrumental, informational, companionship or affirmational.

• A coping resource:– Can provide general protection (main effect

model)– Can be helpful during times of stress

(buffering model).

Page 8: Www.monash.edu.au Dianne Vella-Brodrick. Comparison of sociodemographic, personality and social support variables as predictors of quality of life. Thanks.

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Social Support Sources

• Family • Friends• Significant Other• Work (Perceived Organisational Support)• Community (Sense of Community)

Page 9: Www.monash.edu.au Dianne Vella-Brodrick. Comparison of sociodemographic, personality and social support variables as predictors of quality of life. Thanks.

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Rationale for the study

• Examines the relative contributions of sociodemographic, personality and social support variables on Social, Psychological, Physical and Environmental QoL.

• Extends on previous studies by examining specific QoL domains and including an extensive set of predictor variables, particularly in relation to social support where family, friends, significant others, work and community support.

Page 10: Www.monash.edu.au Dianne Vella-Brodrick. Comparison of sociodemographic, personality and social support variables as predictors of quality of life. Thanks.

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Hypotheses

• Sociodemgraphics, personality and social support variables will be significant predictors of all QoL domains

• Social support will significantly add to the prediction of QoL beyond that afforded by sociodemographic and personality variables.

• Specific predictor variables will differentially predict the various QoL domains. – support variables should be the best predictors of

QoL-Social. – personality variables should be the best predictors

of QoL-Psychological.

Page 11: Www.monash.edu.au Dianne Vella-Brodrick. Comparison of sociodemographic, personality and social support variables as predictors of quality of life. Thanks.

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Participants

• 466 participants• 125 males, 334 females (7 missing)• Age, M=44.36, SD=15.41, Range = 18-82.• 232 were married, 111 were single.• Nearly 60% were tertiary educated.• 68.5% were employed.• 17% indicated they were currently ill.

Author
include "yrs" after range
Page 12: Www.monash.edu.au Dianne Vella-Brodrick. Comparison of sociodemographic, personality and social support variables as predictors of quality of life. Thanks.

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Measures – dependent variable

Subjective Well-being:• WHOQoL-Bref

– Social (alpha=.68) 3 items

– Psychological (alpha=.81) 6 items

– Physical (alpha=.88) 8 items

– Environmental (alpha=.81) 8 items

Page 13: Www.monash.edu.au Dianne Vella-Brodrick. Comparison of sociodemographic, personality and social support variables as predictors of quality of life. Thanks.

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Measures – independent variables

• Sociodemograhic questionnaire

• Personality– Mini-Markers (Saucier, 1994)

> 40 descriptors> Big 5

Author
Perhaps add "personality factors" after Big 5The bullet points using 'less than sign' is a bit distracting as at first glance it reads as though there are greater than 40 desciptors etc
Page 14: Www.monash.edu.au Dianne Vella-Brodrick. Comparison of sociodemographic, personality and social support variables as predictors of quality of life. Thanks.

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Measures cont’d

• Social Support– Multidimensional Scale of Perceived Social

Support (Zimet et al., 1988).> 12 item scale

– Perceived Organisational Support (Eisenberger, 1986).

> 8 item scale

– Sense of Community Index (Chavis, et al., 1986)

> 12 item scale

Page 15: Www.monash.edu.au Dianne Vella-Brodrick. Comparison of sociodemographic, personality and social support variables as predictors of quality of life. Thanks.

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Procedure

• Posters were placed in public locations• Responses were anonymous• Returned to researchers via reply paid

envelopes.

Page 16: Www.monash.edu.au Dianne Vella-Brodrick. Comparison of sociodemographic, personality and social support variables as predictors of quality of life. Thanks.

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Results – Hierarchical Regressions

• Predictor variables were entered in three blocks:

• Sociodemographic variables:– Income, age, gender, r/ship (married/single),

illness.

• Personality:– Extraversion, agreeableness, openness,

conscientiousness, emotional stability.

• Social support:– Family, friends, signif. other, community, work.

Page 17: Www.monash.edu.au Dianne Vella-Brodrick. Comparison of sociodemographic, personality and social support variables as predictors of quality of life. Thanks.

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Outcome variables

• Quality of Life (4 outcome variables)– Social - friends, personal relationship and sex life

– Psychological - enjoy life, life meaningful, concentration, accept bodily appearance, negative feelings

– Physical - pain, medical treatment, energy, get around physically, sleep, daily activities, capacity for work.

– Environmental - safety, health of physical environment, enough money, information, leisure activities, conditions of living place, access to health services, transport

Page 18: Www.monash.edu.au Dianne Vella-Brodrick. Comparison of sociodemographic, personality and social support variables as predictors of quality of life. Thanks.

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Correlations

• Generally weak to moderate correlations were found among the variables.

• The highest correlations were among the WHO-QoL domains (highest r=.59) and WHO-Physical and illness (r=-.56).

• The support variables were also moderately correlated with each other.

• WHO-Social was moderately correlated with all three support variables.

• WHO-Psychological was moderately correlated with emotional stability (.47).

The assumption of multicollinearity was not violated.

Page 19: Www.monash.edu.au Dianne Vella-Brodrick. Comparison of sociodemographic, personality and social support variables as predictors of quality of life. Thanks.

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Social QoL

Beta tRelationship(single) -.143 -2.24*Currently ill - .104 -2.26*Income .123 2.50* R2=51% Emotional stability .135 2.56* (Adj. 48%)Sig. other support .304 5.36***Friends support .256 4.31***Org. support .094 1.99*

Step 1 R2 =17.5% F =7.97***

Step 2 R2 =10.2% F =7.24***

Step 3 R2 =23.5% F =24.42***

Page 20: Www.monash.edu.au Dianne Vella-Brodrick. Comparison of sociodemographic, personality and social support variables as predictors of quality of life. Thanks.

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Psychological QoL

Beta t

Currently ill -.233 - 4.68***

Emotional stability .310 5.43***

Extraversion .099 1.97*

Friends support .148 2.29*

R2=43% (Adj. 39%)Step 1 R2 =16.8% F =7.59***

Step 2 R2 =18.5% F =14.76***

Step 3 R2 =7.6% F =6.77***

Page 21: Www.monash.edu.au Dianne Vella-Brodrick. Comparison of sociodemographic, personality and social support variables as predictors of quality of life. Thanks.

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Physical QoL

Beta tAge -.138 -2.30*Currently ill -.499 -9.83 ***Emotional stability .135 2.33*

R2=41% (Adj. 37%)

Step 1 R2 =32.8% F =18.37***

Step 2 R2 =5.1% F= 4.28**

Step 3 R2 =3.1% F=2.67**

Page 22: Www.monash.edu.au Dianne Vella-Brodrick. Comparison of sociodemographic, personality and social support variables as predictors of quality of life. Thanks.

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Environmental QoL

Betat

Dependents -.137 -2.42*Currently ill - .231 -4.45***Income .204 3.69***Friends support .193 2.88**Community support -.139 -2.42*Org. Support .127 2.38*

R2=38% (Adj. 34%)Step 1 R2 =23.0% F =11.21***Step 2 R2 =5.2% F= 3.76**Step 3 R2 =10.2% F =8.34***

Page 23: Www.monash.edu.au Dianne Vella-Brodrick. Comparison of sociodemographic, personality and social support variables as predictors of quality of life. Thanks.

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Discussion

• Sociodemographic variables, personality and social support significantly predicted all QoL domains.

• Support variables significantly predicted QoL beyond that afforded by sociodemographics and personality.

• These results are consistent with previous literature.

Page 24: Www.monash.edu.au Dianne Vella-Brodrick. Comparison of sociodemographic, personality and social support variables as predictors of quality of life. Thanks.

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Discussion

• Different variables did predict the various dimensions of QoL.

• Sociodemographic variables were the best predictors of QoL-Environment and Physical.

• Social support variables were the best predictors of QoL-Social.

• Personality variables were the best predictors of QoL psychological (emotional stability and extraversion).

Page 25: Www.monash.edu.au Dianne Vella-Brodrick. Comparison of sociodemographic, personality and social support variables as predictors of quality of life. Thanks.

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Discussion – Sociodemographics and Personality

• Current illness is a consistent predictor of all QoL domains. Income influences social and enironmental QoL. Age, being single and having dependents negatively affects QoL.

• Emotional stability and to a lesser extent, extraversion are important to QoL.

Page 26: Www.monash.edu.au Dianne Vella-Brodrick. Comparison of sociodemographic, personality and social support variables as predictors of quality of life. Thanks.

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Discussion – Social Support

• Support from friends was especially important for QoL- Social, Psychological and Environmental.

• Significant Other support was important for QoL-Social.

• Family support was not a significant predictor of QoL for the current sample.

• Community support was inversely related to QoL-Environmental.

• Organisational support significantly predicted QoL- Social and Environmental.

Page 27: Www.monash.edu.au Dianne Vella-Brodrick. Comparison of sociodemographic, personality and social support variables as predictors of quality of life. Thanks.

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Limitations

• Cannot ascertain causal relationships as this is a cross-sectional study.

• The interaction effects of personality and social support need to be examined.

Page 28: Www.monash.edu.au Dianne Vella-Brodrick. Comparison of sociodemographic, personality and social support variables as predictors of quality of life. Thanks.

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Conclusions

• The predictors of SWB are many and varied.

• QoL is not predetermined by dispositional factors alone. Therefore, intervention programs aimed at improving QoL can focus on fostering social support from appropriate sources.