The prediction of perceived well-being

Regression analysis of data from a sample of Northwestern Wisconsin residents shows that a limited number of domain satisfactions accounts for a significant proportion of the variance in life satisfaction. Most life satisfaction is derived from domains which are personal, broader in scope, and central to the individual, and which gain ascendency in the social and psychological life space of the individual as a result of differences in sex, age and income. Satisfaction with health, family and even community override work satisfaction as the main source of men's life satisfaction, while satisfaction with family life easily overwhelms other domain satisfactions as predictors of the life satisfaction of women. Also, the effect of family satisfaction is much stronger for women than men, and during the socially and biologically most productive years of life than in maturity. The contribution of satisfaction with sparetime activities, family, work, etc. to the life satisfaction of the elderly is consistent with a theory of re-engagement in fewer but more meaningful roles. Income differences do not sharply discriminate among the predictors, except at the extremes. Overall, the study demonstrates the efficacy of domain satisfaction measures as predictors of life satisfaction.     

Predicting overall life satisfaction: The role of life cycle and social psychological antecedents

Assessments of subjective well-being have been guided by a diversity of assumptions about overall life satisfaction's antecedents. Need hierarchy, affect, discrepancies between aspiration and attainment, and feelings of personal efficacy have all been suggested to be important predictors of satisfaction. But social psychological antecedents of satisfaction, such as indices of alienation, have heretofore not been considered, despite their link to the sociological tradition. These analyses suggest that for 1423 rural Wisconsinites, feelings of alienation are important predictors of overall life satisfaction. However, the impact of each of the two dimensions of alienation considered here varies with the respondent's position in the life cycle. Implications of these findings for research on life satisfaction are noted.     

Socio-demographic Correlates of Subjective Well-being in Urban India

This study aimed to explore subjective well-being (SWB) in an urban Indian sample. Adults (n = 1099) belonging to two wards in the city of Bangalore in South India, responded to a study-specific questionnaire. This paper is based on data generated as part of an ongoing larger study looking at correlates of SWB. Almost equal number of men and women responded to the study and their age ranged from 20 to 81 years (mean age 37 years). Majority of them were married, Hindus, from middle socio-economic status, had studied above pre-university level and more than half were earning. The mean scores on positive affect (40.9), negative affect (27.6) and life satisfaction (24) suggested above average levels of SWB. Higher age, being married, having higher education, higher income and working in a full time job seemed to improve life satisfaction and decrease negative affect. Religion was also significantly associated with negative affect. Step-wise regression analysis suggested that only education and income were important predictors of positive affect, while negative affect was better predicted by age, income, work status and religion. Life satisfaction was predicted by income, age and education. The important correlates of SWB for men and women were somewhat different. Overall, sociodemographic variables have minimal effect on SWB in urban India and research needs to explore other predictors of SWB.     

Adaptation and Dissonance in Quality of Life: A Case Study in Mekelle,Ethiopia

This study aimed to determine predictability of life satisfaction by focusing on social support, substance abuse, socio-demographic factors as well as received health services from medical and traditional centers in the elderly with dementia. The subjects were 1,210 non-institutionalized Malaysian elderly with cognitive problems. In addition, age, ethnicity, sex differences, marital status, educational level, social support, substance abuse and receiving health services were evaluated to predict the risk of falls in samples. Social support was measured by Lubben score. Substance abuse was referred to smoking per day, addiction to alcohol consumption as well as dependency to medications. Health care supports, which were received by individuals included medical and traditional treatments. Life satisfaction was measured by asking in general ‘Are you satisfied with your current life’. The multiple logistic regression analysis was used to determine the effects of contributing variables on life satisfaction in respondents. Approximately 83 % of subjects reported that they were satisfied with their current life. The results of multiple regression analysis showed that marital status (OR = 1.98), traditional treatments (OR = 0.43), social support (OR = 2.28) and educational level (OR = 1.79) significantly affected life satisfaction in samples (p < 0.05). Furthermore, age, ethnicity, sex differences, substance abuse and medical treatments were not significant predictors of life satisfaction (p > 0.05). It was concluded that social support, being married and education increased life satisfaction in subjects but traditional treatments decreased life satisfaction.     

Quality of Life of Some Under-Represented Survey Respondents: Youth, Aboriginals and Unemployed

Examining an aggregated sample (N=8800) of residents who responded to one of 16 surveys undertaken in Prince George, British Columbia in the period from November 1997 to February 2005, it was found that satisfaction with the quality of life of unemployed residents is lower than that of residents with Aboriginal backgrounds and that satisfaction with the quality of life of the latter is still lower than that of young people. Nevertheless, satisfaction with the quality of life of young people was significantly lower than that of the total sampled population, as well as that of the selected mid-life and retirement groups. Regarding predictors of our three global dependent variables (satisfaction with life as a whole and with the overall quality of life, and happiness) for the three groups (unemployed, Aboriginals and youth) and the total population, we found that the Aboriginal group was most different from all others. Satisfaction with one’s own self-esteem was the most influential predictor of each global indicator for every group except Aboriginal residents. For the latter, self-esteem satisfaction was only the strongest predictor of satisfaction with the overall quality of life. The strongest predictor of life satisfaction for the Aboriginal group was satisfaction with friendships, and there were two domain satisfaction scores tied (friendships and living partner) for most influential predictors of happiness. Self-esteem satisfaction ranked second in strength of influence on Aboriginal happiness and life satisfaction.     

Asset Impacts on Life Satisfaction in an Asset-Rich Country: Focusing on Older Adults in Singapore

Using a representative sample, this study examined the extent to which assets matter for life satisfaction among older adults in Singapore. Singapore is a particularly useful context to explore the relationship between life satisfaction and assets because almost all Singaporeans own their own house, regardless of income level. First, this study used a latent profile analysis to assess patterns of life satisfaction. Then, asset impacts on this pattern of life satisfaction were examined, while controlling for contextual and health factors. The study found that financial assets matter for life satisfaction of older adults in Singapore. In particular, older adults in both the moderate life satisfaction class (LSC) and the High LSC were likely to have higher financial assets. Comparatively, other economic indicators such as real assets, total debts, and monthly household income were not significantly related to life satisfaction of older adults in the Moderate and High LSC compared to the Low LSC. However, real assets and monthly household income were significant predictors distinguishing the Moderate LSC and the High LSC. Throughout the models, total debts were not considered as a significant predictor of life satisfaction differences. This paper concludes by providing several policy and practice implications.     

Affective and Daily Event Predictors of Life Satisfaction in College Students

The current study examined how well affect and daily events predict life satisfaction in 72 college students. Surveys assessing mood, affect balance, health, and sleep quality provided estimates of affect and daily events. The Satisfaction with Life Scale (SWLS) was used as a measure of general life satisfaction. The current results indicated that the SWLS was significantly correlated with feelings of depression, anger, vigor, and confusion, with physical health and frequency of physical illness, with positive and negative affect, and with sleep quality. The predictor variables used in the current study accounted for 54.1% of the total variance of the SWLS. However, only depression, vigor, confusion, frequency of illness and negative affect were significant predictors of life satisfaction in both a standard regression model and in a hierarchical forward regression model. More practically, an increase in subjective life satisfaction was predicted by decreases in depression, decreases in negative affect, decreases in the frequency of illness, and increases in vigor. These results indicate that judgements of life satisfaction, as measured by the SWLS, were significantly predicted by affect and daily events.     

Arts and the quality of life: an Exploratory study

The aim of this investigation was to measure the impact of the arts broadly construed on the quality of life. A randomly drawn household sample of 315 adult residents of Prince George, British Columbia served as the working data-set. Examining zero-order correlations, among other things, it was found that playing a musical instrument a number of times per year was positively associated with general health (r = 0.37), while singing alone a number of hours per week was negatively associated with general health (r = ?0.19). The strongest positive associations with life satisfaction are satisfaction obtained from gourmet cooking and embroidery, needlepoint or cross-stitching, at r = 0.39 andr = 0.32, respectively. The satisfaction obtained from gourmet cooking (r = 0.35) and buying works of art (r = 0.32) were the most positive influences on happiness. The strongest associations with the Index of Subjective Well-Being are the satisfaction obtained from gourmet cooking (r = 0.37) and the satisfaction obtained from knitting or crocheting (r = 0.34). Examining multivariate relations, it was found that eight predictors combined to explain 59% of the variance in life satisfaction scores, with self-esteem satisfaction (β = 0.35) and friendship satisfaction (β = 0.27) most influential. Among the arts-related predictors in the eight, singing alone was fairly influential and negative (β = ?0.18), while the satisfaction obtained from reading to others (β=0.08) and the Index of Arts as Self-Health Enhancers (β = 0.11) were somewhat less influential. When the arts-related predictors were combined with a set of domain satisfaction predictors, total explanatory power was increased by only 3 percentage points. Seven predictors could explain 58% of the variance in satisfaction with the overall quality of life scores. Of the arts-related predictors, only time spent going to non-art museums was significant (β = 0.07). Arts-related predictors did not increase explanatory power at all beyond that obtained from domain satisfaction variables alone. Eight predictors explained 42% of the variance in happiness scores, with the most influential predictors including satisfaction with self-esteem (β = 0.37) and financial security (β = 0.21), followed by the Index of Arts as Self-Developing Activities (β = 0.18). Arts-related predictors added 3 percentage points of explanatory power to that obtained from domain satisfaction scores. Seven predictors could explain 65% of the variance in scores on the Index of Subjective Well-Being, led by self-esteem satisfaction (β = 0.35) and financial security satisfaction (β = 0.30). The Index of Arts as Community Builders had a modest influence (β = 0.11), but all together, arts-related predictors increased our total explanatory power by a single percentage point. Summarizing these multivariate results, it seems fair to say that, relative to the satisfaction obtained from other domains of life, the arts had a very small impact on the quality of life (measured in four somewhat different ways) of a sample of residents of Prince George who generally cared about the arts. Even in absolute terms, arts-related activities could only explain from 5% to 11% of the variance in four plausible measures of the self-perceived quality of respondents’ lives. By comparing the composition of our sample with census data from 2001, it was demonstrated that the sample was not representative of residents of our city. It would, therefore, be wrong to generalize our findings to the whole population of Prince George or to any larger population.     

Health and quality of life of older people,a replication after six years

Replicating a survey of 875 people 55 years old or more undertaken in September 1999 throughout the former Northern Interior Health Region (NIHR) of British Columbia, in September 2005 a sample of 656 people completed a 22-page questionnaire. The average age of the respondents was 68, with a range running from 55 to 96 years, and 64% were women. Responses to the SF-36 questionnaire indicated that for male respondents aged 55–64, the mean score for the 8 dimensions was 76.1. This mean was a bit higher than the 74.4 mean of 1999. For male respondents aged 65 and older the mean was 69.0, which was also higher than the 68.3 mean of 1999. For females aged 55–64, the mean score for 8 dimensions was 73.1, versus 73.0 in 1999. For female respondents aged 65 and older, the mean score was 67.0, versus 65.4 in 1999. Based on these mean scores for the 8 dimensions, then, it is fair to say that the overall health status of males and females aged 55 years and older in the region in 2005 was at least as good as (i.e., the same as or better than) that in 1999. Comparing 28 average figures for the 2005 respondents on satisfaction with specific domains of life (e.g., financial security, health, sense of meaning) and three global indicators (satisfaction with life as a whole and with the overall quality of life, and happiness) with those of the 1999 respondents, we found that the scores for the 2005 sample were at least as high as those of the other sample. Thus, it seems fair to say that the perceived quality of life of older people in the former NIHR so far as it is revealed in domain and global satisfaction and happiness scores, is at least as good as the perceived quality of life of a similar sample in 1999. Although a large majority perceived increases in crime in the 2 year periods prior to both surveys, smaller percentages of the 2005 sample than of the 1999 sample thought that crime had increased over the past two years, avoided going out at night, feared for their safety, had crime-related worries, engaged in crime-related defensive behaviours and were actually the victims of any crimes. Therefore, it seems fair to say that, so far as crime-related issues are concerned for the two samples of seniors responding to our surveys, there is more evidence of improvement than of deterioration. Applying stepwise multiple regression, each of the eight dependent variables was explained on the basis of four clusters of predictors separately and then a final regression was run using only the statistically significant predictors from the four clusters. Broadly speaking, 7 SF-36 health status scales explained from 28% to 45% of the variance in the 8 dependent variables, running from satisfaction with the overall quality of life (28%) to the single item measure of general health (45%). The seven predictors in the Social Relations cluster explained from 7% of the variance in the SF-36 General Health scale scores to 57% of the variance in the Life Satisfaction scores. The four predictors in the Problems cluster explained from 10% of the variance in the SF-36 General Health scale scores to 24% of the variance in the SWLS scores. The 11 predictors in the Domain Satisfaction cluster explained from 14% of the variance in the SF-36 General Health scale scores to 64% of the variance in the SWB scores. Putting all the significant predictors together for each dependent variable, in the weakest case, 4 of 11 potential predictors explained 33% of the variance in the SF-36 General Health scale scores and in the strongest case, 9 of 15 potential predictors explained 70% of the variance in Life Satisfaction scores. Among other things, these results clearly show that respondents’ ideas about a generally healthy life are different from, but not independent of, their ideas about a happy, satisfying or contented life, or about the perceived quality of their lives or their subjective wellbeing. Finally, the 7 core discrepancy predictors of MDT plus incomes were used to explain the eight dependent variables. From 13% of the variance in the SF-36 General Health scale scores to 57% of the variance in SWLS scores was explained using those predictors. Based on an examination of the Total Effects scores for the predictors of the 8 dependent variables, the most influential predictors were Self-Wants, followed by Self-Others and then Self-Best. In other words, the most influential discrepancy predictors of respondents’ overall life assessments were those between what respondents have versus what they want, followed by what they have versus what others of the same age and sex have, and then by what they have versus the best they ever had in the past. We would like to thank the Social Sciences and Humanities Research Council of Canada for support of this research with funds granted to Alex C. Michalos through the Gold Medal Award in 2004.     

The Relationship Between Social Support and Subjective Well-Being Across Age

The relationships among types of social support and different facets of subjective well-being (i.e., life satisfaction, positive affect, and negative affect) were examined in a sample of 1,111 individuals between the ages of 18 and 95. Using structural equation modeling we found that life satisfaction was predicted by enacted and perceived support, positive affect was predicted by family embeddedness and provided support, and negative affect was predicted by perceived support. When personality variables were included in a subsequent model, the influence of the social support variables were generally reduced. Invariance analyses conducted across age groups indicated that there were no substantial differences in predictors of the different types of subjective well-being across age.     

Life satisfaction among San Francisco Chinese-Americans

This study investigates variables that predict life satisfaction in a group of 142 San Francisco Chinese-Americans by utilizing Campbell, Converse and Rodgers' model (1976) of life quality. While objective demographic variables failed to make a significant contribution, satisfaction level with life domains examined (i.e., work, health, marriage/singlehood, friendship and biculturality) accounted for 37% of the variance in life satisfaction, with all but the combined work domain satisfaction score emerging as significant predictors of overall life satisfaction. Subgroup analyses reveal biculturality satisfaction as the most powerful predictor of life satisfaction in immigrants, but not in American-borns, for whom level of friendship satisfaction is most predictive of life quality. These findings and their implications are discussed.     

Predictors of satisfaction with life among second generation migrants

As a part of a comprehensive study of the psychological acculturation of Portuguese youth born in France, this paper examines the relationship between satisfaction with life and some psychosocial variables. The sample consisted of 519 Portuguese youth resident in Paris (47% were male and 53% female). The following instruments were administered to all subjects: the Satisfaction With Life Scale, the Acculturative Attitudes Scales, the Social Anxiety Scale, two brief measures of (a) loneliness and (b) locus of control as well as a background inventory. As expected no gender differences were found, but there were significant effects on satisfaction with life related to religion, participation in an association, number of Portuguese friends and ethnic identity. Expressed satisfaction with life showed significant negative correlations with perceived difficulties of adaptation, marginalization, social anxiety, and loneliness; and positive correlations with integration and locus of control. Multiple regression analysis used to determine the significant predictor variables of satisfaction with life indicated that the strongest predictors were loneliness and perceived state of health.     

Personal Values as Mitigating Factors in the Link Between Income and Life Satisfaction: Evidence from the European Social Survey

Using data from the first two rounds of the European Social Survey, we examine the link between income, reference income and life satisfaction across Western Europe. We find that whilst there is a strong positive relationship between income and life satisfaction, reference or comparison income exerts a strong negative influence. Interestingly, our results confirm the importance of personal values and beliefs not only as predictors of subjective well-being, but also as mitigating factors in the relationship between income, reference income and life satisfaction. While our findings provide additional empirical support for the relative utility hypothesis, they are also consistent with Rojas’ (J Econ Psychol 28:1–14, 2007) Conceptual-Referent-Theory (CRT), which is based on the premise that the salience of income and comparison income depends on one’s intrinsic values and personal beliefs.

Why bother to ‘downshift’? The characteristics and satisfaction of downshifters in the Brisbane-South East Queensland region,Australia

Using the data collected as part of a Quality of Life (QoL) survey in the Brisbane-South East Queensland region (SEQ) of Australia, this paper examines differences in satisfaction levels between downshifters and non-downshifters, and identifies socio-economic predictors of the downshifting phenomenon. Almost 30% of survey respondents are classified as downshifters. Multivariate Analysis of Covariance reveals significant differences between downshifters and non-downshifters in a number of life-satisfaction domains, although the degree to which they were satisfied with their life before downshifting is unknown. Analysis of Covariance shows that downshifters reported a significantly lower level of satisfaction than non-downshifters, especially with respect to satisfaction with the amount of money available to them, independence or freedom, and employment. Multivariate logistic regression analysis reveals that post-secondary education and employment were positively associated with downshifting, while age was significantly associated with downshifting. It is argued that if downshifting is associated with lower levels of satisfaction, intervention may be required to initiate programs to engage downshifters more fully in the workforce by facilitating more flexible work arrangements and an improved working environment.     

Living Arrangements and Quality of Life Among Chinese Canadian Elders

This paper examines the role of living arrangements in thequality of life of community-dwelling Chinese elders (aged 65 andover) currently residing in Vancouver and Victoria, BritishColumbia. Data are based on a random sample of 830 persons[response rate = 71.5%], who were interviewed in their homes inthe language of their choice in 1995–96. Three dimensions ofquality of life – satisfaction, well-being and social support –are examined for married men and women [living with spouse alonevs. living intergenerationally] and widowed women [living alonevs. living intergenerationally]. Few differences are found formarried persons, especially women; for widows, living alonesignificantly reduces quality of life in a number of areas.Regression analyses indicate that living arrangements are not asignificant predictor of life satisfaction or well-being formarried men and women. For widows, living arrangements determinewell-being but not life satisfaction.Overall, age, health status, and social support (havingfriends/confidante) are better predictors of quality of life forelderly Chinese Canadians than are living arrangements. Findingshighlight the importance of: empirically distinguishing maritalstatus and living arrangements in studying the quality of life ofelders; not homogenizing Chinese Canadian seniors with regard toliving arrangements; and focussing on Chinese elderly widows wholive alone as a group at risk of low well-being.     

Which Life Domains Impact Most on Self-Rated Health? A Cross-Cultural Study of Switzerland and its Neighbors

General life satisfaction (GLS) is a strong health correlate and can be conceptualized as an aggregate of satisfactions in different life domains and as a proxy for quality of life. Little is known about which life domains—measured as domain satisfactions—contribute most to GLS and are the best predictors of self-rated health (SRH) and whether these associations differ between countries and/or language areas. We used stepwise logistic regression models to investigate how domain satisfactions, GLS and SRH are interrelated and compared German-speaking and French/Italian-speaking Switzerland with the corresponding neighboring countries of Germany, Austria, France and Italy. The associations of domain satisfactions with GLS and SRH varied significantly in magnitude and between countries and language areas. GLS was strongly related to self-rated health in all populations, but more so in the German-speaking than the French/Italian-speaking regions. Adjusted for all domain satisfactions, satisfaction with one’s financial situation and job satisfaction showed independent effects on SRH and were the most important predictors of GLS, although no clear geographical pattern emerged. Domain-specific satisfactions were similarly associated with GLS and SRH, but the strength of the association varied between German-, French- and Italian-speaking populations. Any similarity between Swiss language areas and neighboring countries was limited to German-speaking populations. Country- and language-specific life domain satisfactions may provide useful pointers for targeting policies in the respective domains.     

The Importance of Freedom in the East and the West Over Time: A Meta-analytic Study of Predictors of Well-Being

We examined whether sense of freedom is an important predictor of well-being, as compared to other typical predictors, across different periods in modern times (1981–2011), and in the East and the West. We applied a meta-analytical approach to the results of a series of multiple regression analyses conducted on six individual waves of Japanese data sets and five individual waves of American data sets from the World Values Survey. The final sample comprised 6389 Japanese and 6176 American respondents during all study periods. The main findings were that sense of freedom was one of the strongest predictors of life satisfaction (a) among several predictors (i.e., health condition, household income, marital status), (b) consistently across waves, and (c) in both Japan and the United States, as typical collectivistic Eastern and individualistic Western countries. We conclude that the greater importance of sense of freedom in ensuring well-being than other typical predictors is applicable to individuals across time and cultures.     

Cross-cultural variations in predictors of life satisfaction: An historical view of differences among West European countries

Using survey data collected in 1976 from respondents in ten West European countries, we compared four sets of predictors of life satisfaction: job satisfaction, nonwork satisfaction, working conditions and living conditions. Results indicated that, although levels of satisfaction varied somewhat by country, significant predictors of life satisfaction were quite similar among the countries. These results present a picture of relationships among these variables in an historical context.     

老年人生活满意度年龄差异研究

用2002、2005、2008年中国高龄老人健康长寿调查数据,考察了年龄对老年人生活满意度的影响。研究发现,年龄因素影响老年人的生活满意度自评。年岁的上升对老年人的生活满意度既有积极影响也有消极影响。对于老年人来说,年龄对生活满意度的正向作用超过了负向作用,因此,老人的年龄越大,生活满意度评价越积极。进一步考察了年龄积极作用三个可能的来源,包括年龄成熟效应、同期群正效应、存活效应,发现年龄的积极作用主要是由年龄的成熟效应引致的。     

An Exploratory Study on the Quality of Life of older Chinese People Living alone in Hong Kong

This study successfully interviewed 109 randomly selected Chinese people aged 60 and over living alone in two public housing estates in an urban area of Hong Kong. The results show that mental health status, number of days staying in hospital, life satisfaction, age, and self-esteem are significant factors in predicting the life quality of older Chinese respondents living alone. The explanatory power of this model is 56.4. The results of this study are consistent with previous findings reported in the west and in Hong Kong. A subgroup analysis of those older Chinese respondents living alone who have offspring also living in Hong Kong shows that belief in childrens’ support in old age, good walking ability, and better self-reported health status via life satisfaction as the mediating variable, better self-reported health status and satisfactory self-reported financial status via self-esteem as the mediating variable, are crucial predictors of quality of life. This model explains 64.2% of the variance in quality of life from a subset of the predictor variables.