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.     

How Neighborhood Features Affect Quality of Life

In this paper we report on the development ofthree conceptual models that explain howsatisfaction with neighborhood features affectresidents' quality of life (life satisfaction). The first model posits that satisfaction withsocial, economic, and physical features of theneighborhood affects life satisfaction throughthe mediation effect of one's overall feelingstoward the neighborhood. That is, satisfactionwith the social, economic, and physicalfeatures tend to contribute to one's overallsatisfaction with the neighborhood(neighborhood satisfaction), which in turnplays a positive role in overall feelingstoward life (life satisfaction). Survey datafrom a variety of communities located insouthwest Virginia were collected, and the datafailed to provide support to this model. The second model posits that satisfaction withthe neighborhood features (social, economic,and physical) does affect life satisfactionthrough a hierarchy-of-satisfaction effects –satisfaction with the neighborhood featuresimpacts neighborhood satisfaction, which inturn affects community satisfaction and housingsatisfaction. Housing satisfaction, in turn,affects home satisfaction. Both homesatisfaction and community satisfaction, inturn, affect life satisfaction. The surveydata failed to support this model too. The third model posits that satisfaction withdifferent features of the neighborhood (social,economic, and physical) affect different domainsatisfactions, which in turn affect lifesatisfaction. Specifically, the model arguesthat satisfaction with the physical featuresaffects both neighborhood satisfaction andhousing satisfaction. Neighborhoodsatisfaction plays a role in communitysatisfaction, whereas housing satisfactionplays a role in home satisfaction. Bothcommunity satisfaction and home satisfaction,in turn, play a role in life satisfaction. Satisfaction with the social features of theneighborhood plays a role in the satisfactionwith the neighborhood and the community – thelatter feeds into life satisfaction. Satisfaction with the economic features of theneighborhood plays a role in the satisfactionwith the house and home – the latter feeds intolife satisfaction. The data were mostly supportive of this model.     

Good Job,Good Life? Working Conditions and Quality of Life in Europe

Cross-national comparisons generally show large differences in life satisfaction of individuals within and between European countries. This paper addresses the question of whether and how job quality and working conditions contribute to the quality of life of employed populations in nine strategically selected EU countries: Finland, Sweden, the UK, the Netherlands, Germany, Portugal, Spain, Hungary, and Bulgaria. Using data from the European Quality of Life Survey 2003, we examine relationships between working conditions and satisfaction with life, as well as whether spillover or segmentation mechanisms better explain the link between work domain and overall life satisfaction. Results show that the level of life satisfaction varies significantly across countries, with higher quality of life in more affluent societies. However, the impact of working conditions on life satisfaction is stronger in Southern and Eastern European countries. Our study suggests that the issue of security, such as security of employment and pay which provides economic security, is the key element that in a straightforward manner affects people’s quality of life. Other working conditions, such as autonomy at work, good career prospects and an interesting job seem to translate into high job satisfaction, which in turn increases life satisfaction indirectly. In general, bad-quality jobs tend to be more ‘effective’ in worsening workers’ perception of their life conditions than good jobs are in improving their quality of life. We discuss the differences in job-related determinants of life satisfaction between the countries and consider theoretical and practical implications of these findings.     

Synthetic Indicators of Quality of Life in Europe

For more than three decades now, sociologists, politicians and economists have used a wide range of statistical and econometric techniques to analyse and measure the quality of life of individuals with the aim of obtaining useful instruments for social, political and economic decision making. The aim of this paper is to analyse the advantages and disadvantages of three possible methodologies for obtaining synthetic indicators for the area of welfare and quality of life. These methodologies are Principal Components Analysis, Data Envelopment Analysis and Measure of Distance P₂. Furthermore this paper analyses quality of life in the European Union (EU), as a methodological exercise to demonstrate the principles of calculation, implications and differences between the three indicator-construction approaches. This analysis is particularly useful in a scene like the EU, immersed in a deep transformation process and with profound cultural, economic and social inequalities. Therefore, an analysis of the quality of life and well-being of its inhabitants can play a major role in ironing out such differences.     

Immigrants’ economic performance across Europe – does immigration policy matter?

Drawing on panel data from the European Community Household Panel (ECHP), the British Household Panel Survey (BHPS) and the German Socio-Economic Panel Study (SOEP), we compare the economic performance of immigrants to Great Britain, West Germany, Denmark, Luxembourg, Ireland, Italy, Spain and Austria to that of the respective indigenous population. The unit of analysis is the individual in the household context. This allows us to define immigrants state of integration into the host society at the family level taking into account issues such as immigrant/native intermarriage. Economic performance is measured in terms of the country-specific pre-government income position and change in the relative income position due to redistribution processes within the respective tax and social security systems. Our work is based on the premise that countries may be categorized – similarly to existing categorizations based on the type of welfare regime – according to the nature of their immigration policy. From an economic point of view, a successful and integrative immigration policy should result – at least when controlling for background characteristics such as education – in a non-significant differential between the economic performance of immigrants and that of the indigenous population. At first glance, our results indicate that this ideal is not attained in all of the countries analysed, particularly not in Germany and Denmark, where the economic performance of immigrants is much lower than that of the indigenous population. However, results from GLS random-effects models show that immigrants to these countries improve their economic situation rapidly with increasing duration of stay in the host country. This implies that these countries also do fairly well in fostering in the economic integration of immigrants. Our empirical results further reveal that the substantial cross-country differences in the immigrant/native-born performance differential persist even when controlling in detail for socioeconomic characteristics of the household and for indicators of the state of the immigrants integration, such as years since migration and immigrant/native intermarriage. This suggests that not only the conditions of entry to a country impact on immigrants economic performance, but also country-specific institutional aspects such as restrictions on access to the labour market and parts of the social security system that are related to citizenship or immigrant status. There still is a great deal of heterogeneity across EU member states in this respect. This should be taken into account when working towards the harmonization of national EU immigration policies.This paper benefited substantially from discussions at the EEA 2003 Conference in Stockholm, Sweden, and the EPUNet 2003 Conference in Colchester, UK. We also acknowledge very helpful comments resulting from the reviewing process     

The State and Fate of Nations: Implications of Subjective Measures of Personal and Social Quality of Life

The equation of `more with `better – ofstandard of living with quality of life – is at theheart of a growing international debate aboutindicators of progress. At one level, the debate isabout the adequacy of GDP (Gross Domestic Product) asthe dominant indicator of national performance. However, the debate also reaches far beyond thisquestion to challenge conventional thinking aboutprogress. Quality of life includes both objective andsubjective elements, so indicators of progress shouldinclude measures of how people feel about their lives.Drawing mainly on Australian data – but also on USand international studies – this analysis examines anddifferentiates between subjective measures of personal and social quality of life, anddiscusses their use in evaluating whether life isgetting better – or worse.     

Global QUALITY OF LIFE (QOL), health and ability are primarily determined by our consciousness. Research findings from Denmark 1991–2004

Objective: To explain the global quality of life (QOL) from 2000 indicators representing all aspects of life. Design and setting: Two cross sectional population studies, one prospective cohort study and one retrospective cohort study. Participants: (1) Representative sample of 2500 Danes (18–88 years), (2) 7222 members of the Copenhagen Perinatal Birth Cohort 1959–1961 (31–33 years), (3) 9.006 mothers and their 8820 children born in Copenhagen 1959–1961, (4) 746 Danes (55–66 years). Main outcome measures: Global QOL measured by SEQOL (self evaluation of QOL) containing eight global QOL measures: Well-being, life-satisfaction, happiness, fulfilment of needs, experience of temporal and spatial domains, expression of lifes potentials and objective factors. Results: 2000 associations; strongest between QOL and health, ability, the personal philosophy of life, the relationships to oneself, the partner and friends; weakest between QOL and 1000 early life factors, 1000 life events and 100 objective factors like income. Conclusions: Quality of life is associated with personal health and attitude towards life, rather than objective factors, life style, or life events. We conclude that QOL can be developed independently and thus be used as medicine.     

Two Thomases: Dublin Castle and The Quality of Life in Victorian Ireland

Administration of Ireland in the nineteenth century was carried out, principally, by three senior officials who were appointed by the current Prime Minister in London, and who served at his pleasure. There were two periods, 1835–1840, and 1853–1869, when Ireland was served by two outstanding men, Thomas Drummond and Thomas Larcom. Both men were trained as military engineers, and were well acquainted by both their membership in the Corps of Royal Engineers and by their shared participation in some projects of the civil government. Their paths to high office were different; Drummond distinguished himself by his skill at technology, and Larcom achieved wide recognition through his imaginative service in the mapping of Ireland. In their periods of service, these two Sappers further distinguished themselves by the quality and selflessness of their of their work. Improvement of quality in the life of the Irish people is documented by presentation of social indicators data from the period 1831–1871.     

Test of a field theory of consciousness and social change: Time series analysis of participation in the TM-Sidhi program and reduction of violent death in the U.S.

This study is part of a research program to test the hypothesis that consciousness has a fundamental field property that is relevant to social change in the direction of improved quality of life. The exogenous variable was the number of participants in the group practice of the Transcendental Meditation (TM) and TM-Sidhi program, a technology of consciousness predicted to reduce stress in society through a field of pure consciousness. The period of the study was 1982–1985, during which the size of a group of participants in Iowa was sufficient to have a measurable influence on the U.S. much of the time, according to theory; a secondary analysis also considered the period 1979–1985, including the time when the group of participants was smaller. The endogenous variable was a violence index comprising the number of weekly fatalities in the U.S. due to three major causes of violent death: motor vehicle fatalities, suicide, and homicide. Time series analysis using both the intervention analysis approach and the transfer function approach indicated a significant reduction in the violence index associated with the exogenous variable. Alternative hypotheses are discussed, as are the theoretical and practical implications of these findings for understanding social change and improving the quality of life.     

Rising Economic Prosperity and Social Quality the Case of New Member States of the European Union

This paper considers whether rising economic prosperity in the New Member States of the European Union since joining the EU is also reflected in better a quality of life and what constitutes a better quality of society for the citizens of these countries. The paper contributes to the debate about the relationship between economic conditions and subjective well-being by showing that the factors that contribute to the latter have not only changed with economic growth but that subjective life satisfaction has also improved. Here we consider how this relationship can be explained by using the Social Quality model to measure the quality of society. We look specifically at the New Member States of the European Union (Latvia, Lithuania, Estonia, Poland, Czech Republic, Slovakia, Slovenia, Hungary, Romania and Bulgaria) using the European Quality of Life Surveys for 2003 and 2007. This covers a period during which the economic conditions of these societies improved and they modernised. The social quality model explains a great deal of the variance in life satisfaction and helps us to show that as well as economic factors, other aspects of the quality of society, such as social integration and empowerment, are also important. We argue that economic and social factors have to be understood as interacting with other aspects of society if we seek to understand the quality of society.     

Self-Efficacy,Pulmonary Function,Perceived Health and Global Quality of Life of Cystic Fibrosis Patients

This study examined the extent that pulmonary function is related to perceived health status and global quality of life in adults suffering from cystic fibrosis, and the extent that self-efficacy modifies these relationships. Our sample comprised 86 adults (48% female; mean age, 29 years; age range, 18–54 years) with cystic fibrosis, recruited from the Norwegian Competence Centre for Cystic Fibrosis (83% response rate). Both subjective data on psychosocial aspects of living with cystic fibrosis, and objective data on pulmonary function (FEV1%) were assessed. Psychosocial aspects were assessed by a questionnaire that included St George’s Respiratory Questionnaire (perceived health status), the Generalized Self-Efficacy Scale (perceived self-efficacy), and the Quality of Life Scale (global quality of life). We found that self-efficacy is an additional factor explaining health status and global quality of life. Pulmonary function is important for health status, but not for global quality of life, for which perceived self-efficacy and health status are the most significant variables. These results show that self-efficacy is as important as pulmonary function for the perceived health status and global quality of life of patients. These valuable findings should be considered in the treatment and care of adult patients suffering from cystic fibrosis.     

World Energy Production,Population Growth,and the Road to the Olduvai Gorge

The Olduvai theory is defined by the ratio of world energy production and population. It states that the life expectancy of Industrial Civilization is less than or equal to 100 years: 1930–2030. After more than a century of strong growth—energy production per capita peaked in 1979. The Olduvai theory explains the 1979 peak and the subsequent decline. Moreover, it says that energy production per capita will fall to its 1930 value by 2030, thus giving Industrial Civilization a lifetime of less than or equal to 100 years. This analysis predicts that the collapse will be strongly correlated with an epidemic of permanent blackouts of high-voltage electric power networks—worldwide.     

The Importance of General Self-Efficacy for the Quality of Life of Adolescents with Chronic Conditions

We investigated the influence of general self-efficacy perceived by adolescents with chronic conditions and parents on quality of life. This cross-sectional study used the general self-efficacy scale and DISABKIDS condition-generic module to survey adolescents (92/293; 31 %) with type I diabetes, juvenile rheumatoid arthritis, cystic fibrosis, kidney/urological conditions, and neuromuscular disorders; and parents (121/293; 41 %). Self perceived and parents’ perceived general self-efficacy of adolescents was compared using paired t-tests, and adolescents’ quality of life and general self-efficacy were compared among conditions using analysis of variance. Bivariate correlations between general self-efficacy and quality of life were identified, and multiple regression sought predictors of quality of life after controlling for background variables. Social quality of life was lowest among those with neuromuscular disorders. General self-efficacy was highest among adolescents with cystic fibrosis and lowest among those with urological conditions. Parents’ perceptions of general self-efficacy were higher than adolescents’ (p ≤ 0.05), although absolute differences were small. General self-efficacy perceived by parents and adolescents was related to emotional, physical, and social quality of life. Adolescents’ perceived self-efficacy predicted all quality of life domains. Parents’ perceptions of the adolescents self-efficacy predicted the adolescents’ social quality of life (β = 0.19; p ≤ 0.01). General self-efficacy of adolescents with chronic conditions as perceived by themselves and their parents is important for adolescents’ quality of life. Interventions to improve general self-efficacy should benefit quality of life among these adolescents.     

Health-Related Quality of Life Among Abused Women One Year After Leaving a Violent Partner

This is the first follow up study measuring quality of life among abused women who have left their abusive partner. The women (n = 22) answered a questionnaire while staying at women’s shelter and one year later. The aim was to examine long-term effects of intimate partner violence against women on health-related quality of life. Health-related quality of life was measured using the SF-36 Health Survey and the WHOQOL-BREF. The meantime for living in a violent partnership was 11 years, most of the women had children under 10 years living with them, low income and were on sickness absence or disability pension. About half of the women had experienced threats of violence and 6 had experienced violent acts after leaving their partner. SF-36 scores after one year were significantly better in vitality (t-test, P < 0.001), mental health (t-test P < 0.001) and social domains (t-test, P < 0.04). WHOQOL-BREF scores did not change significantly from baseline, showing that the SF-36 showed more responsiveness in this population. Regression analysis showed that serious physical violence reported at baseline predicted significantly less improvement in physical and mental health and role-emotional in the SF-36 and in social relationships and environmental health in the WHOQOL-BREF. High psychological violence at baseline predicted significantly less improvement in mental health in the SF-36 and in social relationships and environmental health in the WHOQOL-BREF.     

Communist and non-communist Europe: Functional differentiation, 1970–1985

Examining four variables related to quality of life in the respective societies — the value of international trade in U.S. dollars, air passenger mileage, total school enrollments and life expectancy — this study distinguishes several Communist Eastern European states from several Non-Communist Western European states over four time intervals: 1970, 1975, 1980 and 1985. The method employed is discriminant analysis. The degree of distinction achieved with the four variables is remarkably clearcut and does not appear to be the simple consequence of different levels of economic development.     

Quality of life in a European Perspective: The EUROMODULE as a New Instrument for Comparative Welfare Research

In this article, a new survey instrument for comparative welfare researchand social reporting is described, the EUROMODULE. It has been set up inintensive discussions among experts from several nations engaged inquality of life research and social reporting. By combining indicatorsof objective living conditions, subjective well-being, and quality ofsociety, with this new survey central aspects of the quality of life ofEuropean citizens can be investigated. The EUROMODULE initiative aimsat strengthening efforts to monitor and systematically analyze thecurrent state and the changes in living conditions and quality of lifein Europe in a comparative perspective. So far, data for eightEuropean countries are available.     

Structural Analyses Of The Quality Of Life Of Children At Risk

Quality of life (QOL) is usually assessed in terms of levels. This paper, in contrast, examines the structure of the quality of life of its subjects: two groups of children at risk, children who were kept at home and those who were removed from home. The social workers who made the decisions were asked to assess the children’s quality of life using Shye’s Systemic Quality of Life Model. The study’s main finding is that the QOL structure of the two groups of children differs both from the theoretical “ideal” (or “healthy” structure) and from each other. The QOL structure of the children who were kept at home was closer to the ideal than that of the children who were removed. The difference from the ideal in both groups is consistent with the fact that both groups of children at risk, whose QOL is compromised by definition. The greater proximity to the “ideal” of the QOL structure of the children who were kept at home suggests that the social workers who made the decisions viewed these children as having a healthier QOL than the children who were removed from home.     

Ageing and Living Conditions of the Elderly: Sweden 1980–1998

General social reports on ageing and the elderly in Sweden have been published regularly since the 1970s, within the regular system of social reporting for Sweden, based on large-scale annual social surveys ongoing since three decades (ULF). This paper presents key findings from the recent social report for the elderly (Vogel et al., 2000). The recent report studies cross-sectional and longitudinal change in living conditions (trends over two decades; 1980–1998; register and survey data; n = 112,400), comparing between all three generations (youth, elderly, and mid-age), using a set of 82 social indicators within 12 social domains, and furthermore decomposing change in different generations by additional cleavages (social class, gender, family, region). Age variation and trends in living conditions are interpreted with respect to the changing welfare mix, i.e. the institutional configuration between labour market, welfare state and family. Findings are summarized as a generally widening generation gap, with improved living conditions for the elderly, and decreased conditions for the youngest generation.     

Migration expectancy revisited: Results for the 1970s, 1980s and 1990s

Planners in a variety of situations require an improved understanding of migration trends if services and products that adequately meet constituent needs are to be provided. This note focuses on changes in migration expectancy over three decades in the context of the planning function. Using the CPS one-year migration question for the periods 1975–1976, 1980–1981, and 1987–1991, and the work of Wilber (1963) and Long (1973) as historical benchmarks, migration expectancy is found to have fallen since the earlier studies. Longer-distance migration (between counties and between states) has remained relatively constant over the same period so that these types of moves now account for a larger proportion of total residential mobility. The results are discussed in the context of their value to individuals and organizations who seek a better understanding of demographically-driven demand from services and products.This article is based on a paper presented at the Southern Demographic Association annual meeting, New Orleans, Louisiana, 22 October 1993.     

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.