Impact of Arts-Related Activities on the Perceived Quality of Life

The aim of this investigation was to measure the impact of arts-related activities on the perceived or experienced quality of life. In the fall of 2006 a questionnaire was mailed out to a random selection of 2000 households in each of five British Columbia communities, and 1027 were returned completed. The total and individual community samples should be regarded as merely representative of some British Columbian residents who had some interest in the arts. Sixty-six kinds of arts-related activities were identified in the questionnaire, and five indexes were created to help explain people’s motives for engaging in such activities. Seven different scales were used to measure respondents’ overall assessment of their lives, (1) self-reported general health (5-point scale), (2) satisfaction with life as a whole (7-point scale), (3) satisfaction with the overall quality of life (7-points), (4) happiness with life as a whole (7-points), (5) satisfaction with life as a whole (5-item index), (6) contentment with life (5-item index), (7) subjective wellbeing (4-item index). In the context of all our predictors, based on the relative impact of all the arts-related activities and the satisfaction obtained from those activities on our seven overall life assessment variables, it is fair to say that such activities and their corresponding satisfaction contributed relatively little. While this may seem incredible (especially to arts enthusiasts), it is important to keep in mind the initial condition “in the context of all our predictors” and the qualifier “relatively”. Our inability to discover greater marginal or total impacts of arts-related activities on the perceived quality of life may be the result of our use of the wrong search instruments for the great variety of values involved. It is an open question whether we used the best tools and found as much as there was to find or whether better tools would have found more.     

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.     

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 ( = 0.35) and friendship satisfaction ( = 0.27) most influential. Among the arts-related predictors in the eight, singing alone was fairly influential and negative ( = –0.18), while the satisfaction obtained from reading to others (=0.08) and the Index of Arts as Self-Health Enhancers ( = 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 ( = 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 ( = 0.37) and financial security ( = 0.21), followed by the Index of Arts as Self-Developing Activities ( = 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 ( = 0.35) and financial security satisfaction ( = 0.30). The Index of Arts as Community Builders had a modest influence ( = 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.     

Stability and Sensitivity in Perceived Quality of Life Measures: Some Panel Results

The aim of this study was to test a fundamental assumption concerning 27 of the most frequently used measures to assess aspects of the quality of people’s lives, e.g., measures concerning happiness, satisfaction with life as a whole, with the quality of one’s life, with domains of life (job, marriage, friendships), and with perceived gaps between what one has compared to what one wants, what one’s neighbor has and so on. The assumption is that such measures are sensitive to changes in the circumstances of one’s life measured by self-perceptions of change and by self-assessments of the net balance of salient positive and negative events one has experienced in some specified period of time. A total of 462 residents of British Columbia distributed across 3 different panels completed mailed-out questionnaires at 3 points in time in 2005, 06 and 07. Among other things, we found that measuring year-by-year changes in respondents’ life circumstances by reports of their own perception and experienced life events, on average the values of the 27 variables changed in ways that were consistent with respondents’ reported changes in 49.7% of the cases examined. The success rate of the assumption using self-perceptions of change (61.7%) was much higher than the success rate using a net balance of experienced events (37.3%).     

Determinants of Health and the Quality of Life in the Bella Coola Valley

The aim of this investigation is to obtain some baseline self-reported data on the health status and overall quality of life of all residents of the Bella Coola Valley of British Columbia aged 17 years or older, and to measure the impact of a set of designated health determinants on their health and quality of life. In the period from August to November 2001, a variety of procedures were used to ensure that all eligible residents of the Valley received a copy of our questionnaire, and 687 useable questionnaires were obtained for our working dataset. Health status was measured by SF-36 and the U.S. Centers for Disease Control healthy days items. Thirty-one items were used to measure the Provincial Health Officer’s designated determinants of health in four clusters, namely, biological, social and economic, health behaviours and health services determinants. Quality of life was measured by satisfaction levels in 13 specific domains of life (e.g., family, financial security), four global items (e.g., happiness, life satisfaction) and one global Subjective Well-Being Index. Besides obtaining baseline figures on all our measures for the Valley, we made some comparisons among our figures and those from other areas, e.g., Prince George, BC. Most of the measures indicated that the health status and quality of life of Bella Coola Valley residents were lower than those of Prince George residents. For the sample as a whole, SF-36 scores on the eight dimensions ran from 82.3 (physical functioning) to 50.0 (social functioning), with a mean of 62.7. Residents in the Valley averaged 6.5 days in the past 30 in which their health was physically not good, 5.5 days when it was mentally not good and 4.1 days when their health limited their usual daily activities. Eleven percent of respondents described their general health as “excellent” and another 27% said it was “very good”. On a 7-point scale from 1=very dissatisfied to 7=very satisfied, respondents had average life satisfaction and satisfaction with the overall quality of life scores of 5.5. For specific domains of life, the lowest mean level of satisfaction was reported for federal and provincial government officials (3.3) and the highest was reported for living partners and personal safety around home (5.8). Regarding bivariate relations, each of the eight dimensions of SF-36 was significantly correlated with a single item measure of general health, and five of the eight were significantly correlated with the number of good health days. Happiness and the Subjective Well-Being Index were positively but moderately correlated with six of the eight dimensions, and life satisfaction was positively correlated with five. Age was negatively related to general health, but positively related to life satisfaction. Not being of aboriginal descent was positively related to all of the four global health indicators and to the Subjective Well-Being Index. Education was positively related to the four global health measures but not to the three global quality of life measures. The Social Support and Good Family Indexes were positively related to all seven global measures. There was a positive correlation between six of the seven global measures and the frequency with which respondents participated in activities sponsored by voluntary organizations. Frequency of smoking was negatively associated with every global dependent variable except the Physical Health Index. Frequency of skipping meals was negatively associated and average hours of sleep per night was positively associated with all seven global measures. Turning to multivariate relationships, the four clusters of health determinants explained from 12% (SF-36 Mental Health Index) to 24% (general health) of the variance in the dependent global health variables, and from 20% (happiness) to 26% (Subjective Well-Being Index) of the variance in the dependent global quality of life variables. Adding domain satisfaction scores to the total set of predictors allowed us to explain from 20% (SF-36 Mental health Index) to 29% (general health) of the variance in the dependent global health variables, and from 39% (happiness) to 62% (life satisfaction) in the dependent global quality of life variables. By including measures of social support and good family relationships in our set of health determinants, we practically guaranteed that the latter would be relatively strongly predictive of global quality of life.     

Health Care Service Needs and Correlates of Quality of Life: A Case Study of Elderly Chinese Immigrants in Canada

This study explored the health care service needs and the major correlates of quality of life among 127 community-dwelling elderly Chinese immigrants in a western Canadian city. Participants were interviewed in their homes by trained, bilingual interviewers employing a structured questionnaire that covered a wide range of topics including health care service needs, living arrangements, health status, social network, life satisfaction, and socio-demographic information. Results demonstrated that ethnic nursing homes, senior centres that provide programs and services, and homemaker services were respondents’ major service needs. Multiple ordinary least-squares regression analysis revealed that respondents who emigrated from Mainland China and those who exhibited greater psychological well-being, reported being physically more mobile, perceived fewer service needs, and expressed satisfaction with the quality of their neighbourhood demonstrated higher levels of life satisfaction.     

Do We Need to Weight Satisfaction Scores with Importance Ratings in Measuring Quality of Life?

Trauer and Mackinnon (2001; Quality of life research 10, pp. 579–585) recently proposed that weighting satisfaction scores by importance ratings in measuring quality of life is undesirable and unnecessary. However, they didn’t use empirical data to support their claim. In this study, different weighting algorithms developed by Cummins (1997; Comprehensive Quality of Life Scale – Adult: Manual [Deakin, University Australia]), Raphael et al. (1996; Journal of Adolescent Health 19, pp. 366–375), Ferrans and Powers (1985; Advances in Nursing Science 8, pp. 15–24) and Frisch (1992; Comprehensive Casebook of Cognitive Therapy [Plenum Press, New York]) for measuring quality of life (QOL) were applied. Weighted scores computed from these weighting algorithms were compared with unweighted scores in predicting a global life satisfaction measure by correlation and moderated regression analyses. One hundred and thirty undergraduate students at National Taiwan University participated in the study voluntarily. They completed a 15-item questionnaire on quality of campus life developed by the authors. They also completed the Satisfaction with Life Scale (SWLS), a global life satisfaction measure developed by Diener et al. (1985; Journal of Personality Assessment 49, pp. 71–75). The correlation results revealed that the weighted scores computed from different algorithms didn’t have higher correlations to the SWLS than the unweighted scores. The moderated regression results also revealed that item importance did not moderate the relationship between item satisfaction and the overall life satisfaction. All these findings revealed that weighting satisfaction with importance is unnecessary. This paper was a part of the first author’s Master Thesis     

The Relative Importance of Health

This article seeks to extend Michalos’ [Social indicators research and health-related quality of life (QoL) research. Social Indicators Research, 65, 27–72, 2004] discussion on bridging social indicators research and health-related QoL (HRQoL) research through an examination of (1) the relative importance of satisfaction with one’s own health to another common measure of QoL—Life satisfaction, and (2) the relative importance of health in relation to other major life domains. Using data from two surveys, this article found that individuals may perceive health as most important in relation to other major life domains but satisfaction with one’s own health may not necessarily be the most important determining factor (in relation to satisfaction with other major life domains) of QoL as measured by life satisfaction. These findings support Michalos’ (Social indicators research and HRQoL research. Social Indicators Research, 65, 27–72, 2004) call for caution regarding the interpretation of research results on HRQoL since many HRQoL measures are measures of satisfaction with one’s own health and should not be considered as measures of QoL.     

Criminal Victimization and the Quality of Life

The aim of this investigation was to explain theimpact of crime-related issues on satisfaction withthe quality of life, satisfaction with life as a wholeand happiness in the city of Prince George, BritishColumbia. As explanatory variables, we had measures ofrespondent fears of and actual cases of victimization, Indexes of Neighbourhood Problems, PolicePerformance, Neighbourhood Worries, DefensiveBehaviour, beliefs about increases in local crime,satisfaction with personal and family safety, andsatisfaction with a variety of domains of life (e.g.,friendships, financial security, health). Collectivelysuch variables could explain only 5% of the variationin happiness scores, 7% of the variation in lifesatisfaction scores and 9% of the variation insatisfaction with the quality of life scores. However,they could explain 38% of the variation in overallneighbourhood satisfaction scores. When measures ofsatisfaction with family life, health, self-esteem,etc. were added, we found that crime related issueswere simply displaced by the other measures and thatwe could explain 31% of the variation in overallhappiness scores, 58% of the variation in lifesatisfaction scores and 59% of the variation insatisfaction with the overall quality of life scores. We conclude, therefore, that crime-related issues haverelatively little impact on peoples satisfaction withthe quality of their lives, with life satisfaction orhappiness here.     

Does National Income Inequality Affect Individuals’ Quality of Life in Europe? Inequality,Happiness, Finances,and Health

This paper analyses the effect of income inequality on Europeans’ quality of life, specifically on their overall well-being (happiness, life satisfaction), on their financial quality of life (satisfaction with standard of living, affordability of goods and services, subjective poverty), and on their health (self-rated health, satisfaction with health). The simple bivariate correlations of inequality with overall well-being, financial quality of life, and health are negative. But this is misleading because of the confounding effect of a key omitted variable, national economic development (GDP per capita): Unequal societies are on average much poorer (r = 0.46) and so disadvantaged because of that. We analyse the multi-level European Quality of Life survey conducted in 2003 including national-level data on inequality (Gini coefficient) and economic development (GDP) and individual-level data on overall well-being, financial quality of life, and health. The individual cases are from representative samples of 28 European countries. Our variance-components multi-level models controlling for known individual-level predictors show that national per capita GDP increases subjective well-being, financial quality of life, and health. Net of that, the national level of inequality, as measured by the Gini coefficient, has no statistically significant effect, suggesting that income inequality does not reduce well-being, financial quality of life, or health in advanced societies. These result all imply that directing policies and resources towards inequality reduction is unlikely to benefit the general public in advanced societies.     

Validity and Reliability of Subjective Social Indicators: The effect of different measures of association

In an international research project, a meta analysis of multitrait-multimethod matrices was used to evaluate the effects of characteristics of survey measurement instruments on the quality of survey data. The analyses in this project were done on the basis of polychoric/polyserial correlations. The result of such a study can be used to correct for measurement errors if the correlation in the substantive study is also a polychoric/polyserial correlation. It is, however, doubtful if these quality estimates of survey measurement instruments are appropriate for studies based on the most frequently used Pearson correlations. In this paper, the general approach will be discussed first. After that, the results with respect to validity and reliability estimates, obtained using two different measures of association, will be compared: the polychoric/polyserial correlations and the Pearson correlations. This study suggests that the differences between estimates of the reliability for scales with different numbers of categories are quite large, while all other effects remain approximately the same. The reasons for the differences will also be given. All the results are based on experiments containing questions with respect to satisfaction with life and aspects of life. Thus the study provides estimates of validity and reliability on measures of satisfaction with life and aspects of life which can be used in practice for the prediction and optimization of data quality and for correction of the data with regard to measurement error.     

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.     

Religiosity and quality of life in South Africa

Using nationally representative survey data, this paper explores the relationship between religiosity and quality of life. Three indicators of religiosity are used: (i) frequency of attendance at religious services or meetings, (ii) orthodoxy of beliefs in relation to Biblical teachings and (iii) religious denomination. Quality of life (QoL) is measured in terms of (i) household access to modern conveniences, (ii) self-assessed life satisfaction and (iii) level of satisfaction with government institutions. The data shows a significant but not very strong statistical relationship between religiosity and QoL. People who attend religious meetings most frequently and who hold the most orthodox religious views are thus more likely to have access to modern conveniences and to be satisfied with their lives. Satisfaction with government, however, tends to be highest amongst nominally religious people and lowest amongst both the most orthodox and the least religious.     

What are the Differences between Happiness and Self-Esteem

The present study investigated theoretically and empirically derived similarities and differences between the constructs of enduring happiness and self-esteem. Participants (N = 621), retired employees ages 51–95, completed standardized measures of affect, personality, psychosocial characteristics, physical health, and demographics. The relations between each of the two target variables (happiness and self-esteem) and the full set of remaining variables were assessed through a series of successive statistical analyses: (1) simple Pearson’s correlations, (2) partial correlations, and (3) hierarchical regression analyses. The results revealed that happiness and self-esteem, while highly correlated (r = 0.58), presented unique patterns of relations with the other measured variables. The best predictors of happiness were the following: mood and temperamental traits (i.e., extraversion and neuroticism), social relationships (lack of loneliness and satisfaction with friendships), purpose in life, and global life satisfaction. By contrast, self-esteem was best predicted by dispositions related to agency and motivation (i.e., optimism and lack of hopelessness). Implications for the understanding of happiness and self-esteem are discussed.     

The Relationship of Life Satisfaction to Patterns of Past Employment and Homemaking Responsibility for Older Women

This study examined the relationships among six different patterns of past employment and homemaking experiences and life satisfaction for a group of 172 older women who resided in subsidized housing in Brooklyn, New York. Data collected through the use of self-report questionnaires administered in small group settings provided demographic information, employment histories, self-assessed patterns of past employment and homemaking, as well as life satisfaction ratings. A series of regression analyses indicated that an older woman's pattern of past employment and homemaking was not significantly related to her level of life satisfaction. Perceived functional health and perceived financial adequacy were found to be related to life satisfaction, each explaining moderate amounts of life satisfaction variance.     

Assessing the “Good Life” in a Military Context: How Does Life and Work-Satisfaction Relate to Orientations to Happiness and Career-Success Among Swiss Professional Officers?

The study examines work- and life satisfaction along with orientation to happiness, and their relation to subjective but also objective career success, among Swiss military professional officers. They frequently report worsening of their working conditions due to two reforms that have recently been conducted. A total of N = 221 Swiss career officers (mainly Land Forces; from Colonel to First Lieutenant) completed several questionnaires in an online survey. As expected, pleasure, engagement and meaning were positively related to satisfaction with life and the meaningful life also correlated with the (overall) work satisfaction. Higher subjective career success was related to higher satisfaction with life, content-related aspects of work satisfaction, and higher endorsements to the engaged and the meaningful life. Belonging to the general staff was considered as an objective criterion of career success and those who were in the general staff, were higher in their overall work satisfaction, content-related aspects of their work and, again, higher inclination to the life of engagement and the life of meaning. The study suggests that variables of positive psychological functioning are useful additions in the field of military psychology and that they might hold a key for the development of strategies for improving both, work- and life satisfaction among military personnel.     

The Best Years of Life: A Study of Older Hong Kong Chinese

This study examines elderly respondents’ self-reported best years of life and the reasons to support their choices. A total of 842 Chinese people aged 60 and over participated in this cross-sectional study, giving an overall response rate of 91%. This study used information from an index entitled The Best Years of Life, which was developed in 1975 by the USA’s National Council on the Aging. The conceptual framework was informed by Daniel J. Levinson’s developmental theory. A little more than 50 percent of the respondents said the best years of life had been in pre-adulthood and early adulthood (ages 10–49), while about 23.5 percent the best years had been in late adulthood (age 60-plus). The patterns of the respondents’ self-reported best years of life showed considerable diversity, and no single pattern can be considered typical. The respondents’ unique personal experience may account for this.     

School Satisfaction Among Adolescents: Testing Different Indicators for its Measurement and its Relationship with Overall Life Satisfaction and Subjective Well-Being in Romania and Spain

This paper presents results from two samples of adolescents aged 13–16 from Romania and Spain (N = 930 + 1,945 = 2,875). The original 7-item version of the Personal Well-Being Index (PWI) was used, together with an item on overall life satisfaction (OLS) and a set of six items related to satisfaction with school. A confirmatory factor analysis of the six school satisfaction items shows good fit statistics when relating them to a latent variable. However, said latent variable does not show a good fit when related to the OLS or the PWI. Tests have led to the conclusion that the item that best summarises satisfaction with school is “satisfaction with my life as a student”. Adding this item to the PWI-7 has shown a good fit with Structural Equation Modeling and higher standardised loading on the OLS. The analysis developed here, while confirming that the inclusion of a domain on satisfaction with school life contributes to the PWI with unique variance (2.5 % in this research), also offers an explanation for the surprising results obtained for adolescents in other countries (e.g. in Australia, Tomyn and Cummins in Soc Indicat Res 101(3):405–418 2010) by showing that satisfaction with friends at school and satisfaction with classmates did not significantly contribute to satisfaction with school. Our results suggest that school satisfaction is highly related to satisfaction with teachers, but weakly related to overall life satisfaction, while satisfaction with school friends and satisfaction with classmates are highly related to overall life satisfaction, but weakly related to satisfaction with school. Satisfaction with life as a student seems to be the item that best reconciles this “paradox” (in adults’ eyes), at least with our samples of Romanian and Spanish adolescents.     

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.     

Family Life Quality and Emotional Quality of Life in Chinese Adolescents with and Without Economic Disadvantage

Chinese secondary school students (N = 2758) responded to measures of perceived family life quality (parenting quality and parent–child relational quality) and emotional quality of life (hopelessness, mastery, life satisfaction and self-esteem). Parenting quality included different aspects of parental behavioral control (parental knowledge, expectation, monitoring, discipline and demandingness as well as parental control defined in terms of indigenous Chinese concepts), parental psychological control, and parental responsiveness whereas parent–child relational quality included satisfaction with parental control, child’s readiness to communicate with the parents, parental trust of the child, and child’s trust of the parent. Results showed that parenting quality and parent–child relational quality in poor families were generally poorer than those of non-poor families and the differences were more pronounced in paternal parenting quality and father–child relational quality than in maternal parenting quality and mother–child relational quality. Emotional quality of life of adolescents experiencing economic disadvantage was also found to be poorer than that of adolescents not experiencing economic disadvantage. The present findings replicate the previous research findings in the literature and generate a pioneering dataset based on Chinese adolescents at Secondary 2 level in Hong Kong.