Income and Well-being Across European Provinces

The majority of studies investigate the effect of income on life satisfaction at either individual or country level. This study contributes with analysis at the (sub-national) province level across West European countries. I use a unique dataset Eurobarometer 44.2 Bis that is representative of province populations in a multilevel model. Provinces are defined according to The Nomenclature of Territorial Units for Statistics at second level (NUTS II). Living conditions measured by regional income increase life satisfaction beyond personal income and national income. There is larger life satisfaction inequality between the rich and the poor in poor provinces than in rich provinces. Personal income matters more for life satisfaction in poor provinces than in rich provinces.     

Who are the Supporters of Croatian Membership in the European Union and NATO? Predictive Value of Personal and National Well-Being

Like many other Central and Eastern European countries Croatia has passed through substantial political changes and transition processes from state to liberal market economy in the last two decades. The next important step is accession to EU and NATO, and public opinion about joining these associations is divided. The aim of this study is to investigate the predictive value of subjective well-being measures in explaining attitudes of Croatian citizens toward accession to NATO and European Union. In particular, the prognostic utility of SWB is tested over and above usefulness of basic socio-demographic variables in explaining those political opinions. The research was conducted on a huge and representative sample (N = 4,000) of Croatian citizens in the spring of 2009. As a measure of subjective well-being, Croatian version of International Well-Being Index (IWI; Cummins in International Wellbeing Index, Version 2 [online]. Available from: , 2002) was used. IWI includes National and Personal Well-Being scales where each scale consists of several personal or national well-being domains. Socio-demographic variables used in this survey were gender, age, and level of education. Hierarchical logistic regression was applied to test the unique contribution of National and Personal well-being domains in predicting attitudes toward accession. The results show that National well-being index is useful in predicting attitudes toward accession of Croatia to EU and NATO, and has an even higher predictive value than basic socio-demographic variables. National well-being domains that significantly improve prediction were satisfaction with government and satisfaction with national economic situation. Higher satisfaction with national government is related to support of accession to both alliances, whereas higher satisfaction with national economy is associated solely with supporting the EU membership. The personal well-being index and belonging domains were not useful in this political attitude prediction. Possible theoretical explanation of observed relations between NWI and political opinion were further discussed.     

A Hierarchical Ordinal Probit Model for the Analysis of Life Satisfaction in Italy

The aim of this paper is to study the individual and contextual determinants of life satisfaction in Italy. A hierarchical probit model is proposed for studying data with group structure and an ordinal response variable. The group structure is defined by the presence of micro observations embedded with regional contexts (macro observations), and the specification is at both of these levels. The methodology is applied to Eurobarometer survey data, with individuals viewed as micro observations and regions as macro observations. We find that Italy is not an homogeneous country with respect to life satisfaction, and that the regional environment contributes with the observed and unobserved characteristics of the individuals to life satisfaction level.     

A method for assessing residents' satisfaction with community-based services: a quality-of-life perspective

A method for assessing residents' satisfaction with community-based services is developed and tested using four samples. The method is based on the theoretical notion that consumer satisfaction with individual government services (e.g., police, fire/rescue, and library), business services (e.g., banking/savings, insurance, and department stores), and nonprofit services (e.g., alcohol/drug abuse services, crisis intervention, and religious services) affect satisfaction with the community at large (global community satisfaction). Ultimately, this global community satisfaction, together with satisfaction with other relevant life domains (work, family, leisure, etc.), affect global life satisfaction. The theoretical notions are explained using bottom-up spillover theory -- a theory highly established in quality-of-life research. This theory applied to the proposed method explains that residents' overall satisfaction with a community can be decomposed into a variety of sub-domains, each of which contributes to their overall feelings about the community. Survey data from four different communities were collected to test the validity of the method. The results provided support to the model and the assessment method and measures used. From a managerial perspective, we showed how the model and the assessment method can be used by community leaders to tap citizens' perception of community quality-of-life and its determinants, identify strategic gaps or problem areas, and take corrective action.     

Measurement models of women’s autonomy using the 1998/1999 India DHS

Research concerning the relationship between female status and demographic behaviour has largely concluded that community level influences are most important, while status and autonomy at the individual level are far less so. This consensus, however, rests on an untested a priori typology of women’s status and tenuous assumptions about the measurement of defined status dimensions on the individual level. To better understand the potential influences of both community and individual elements it is necessary to take a step back and assess the validity of the constructs of autonomy used. This work uses a latent variable measurement modelling framework to test both the dimensionality of women’s status and the appropriateness of using simple additive index scaling in constructing measures of women’s status on the individual level using questions from the Demographic and Health Surveys status-of-women module in India for 1998/1999.     

The Latent Profiles of Life Domain Importance and Satisfaction in a Quality of Life Scale

The present study aimed to use a latent profile analysis to distinguish between populations in terms of life domain importance and satisfaction profiles. Then, a multinomial logistic regression was used to determine how background variables (e.g., gender, living areas, and school levels) and self-perceived health predict each latent quality of life (QoL) profile. We also investigated how the latent groups of adolescents predicted negative and positive well-being indicators (e.g., problem behaviors and overall life satisfaction). The sample consisted of 720 Taiwanese secondary school students. Three latent groups were established as follows: “unimportant-unsatisfied,” “important-unsatisfied,” and “important-satisfied.” The results indicate the following: (a) boys were more likely to fall into the “unimportant-unsatisfied” group than were girls; (b) better health increased the likelihood of being in the “important-satisfied” group; (c) high school students were more likely to be in the “unimportant-unsatisfed” group than were middle school students; and (d) no relationship was found between latent groups and living areas. The function of importance rating was not present when evaluating the importance-satisfaction profiles and their relationship with problem behaviors and overall life satisfaction. The problems of the “unimportant-unsatisfied” profile among youth are discussed.     

Impact of Individual and Organizational Variables on Quality of Life

The general goal of this study consists of analyzing the influence of different types of human services in the quality of life of their nested users. Several multilevel models were proposed to test for significant differences not only in the overall quality of life score, but also in each of the eight core domains. Participants included 11,624 users of social and human services and the assessment quality of life instrument was the GENCAT Scale. Variables that were studied in the different models were gender, age, and diagnostic group (elderly, intellectual disability, physical disability, mental health problems, and chemical dependency) at the individual user level (level 1: individual), while type of services—in terms of the main population addressed by their supports (i.e. the aforementioned groups)—was studied at service level (level 2: organizational). In order to explain differences, individual characteristics were introduced first, types of services were introduced next, and finally joint individual and service variables were introduced in a single model. The main results of this study were that personal and organizational variables exhibited a different level of influence on users’ quality of life; and also that the type of services significantly influenced the quality of life of its users. The results of this study lead to practical implications for services providing support to these diagnostic groups, especially for those interested in managing, assessing, and improving quality of life related personal outcomes at the user level as well as quality enhancement at the organizational level.     

Relationships between overall and life facet satisfaction: A multitrait-multimethod (MTMM) study

We extended research on the construct validity of overall and life facet satisfaction measures by (a) estimating relations among satisfaction constructs disattenuated for measurement error, and (b) controlling for spurious effects of common method variance, using confirmatory factor analysis (CFA) of multitrait-multimethod (MTMM) data. Results indicated strong support for convergent and discriminant validity, as well as for significant method effects. Results also indicated that corrected correlations among latent satisfaction variables were similar to their observed counterparts, suggesting that the attenuating effects of measurement error tend to balance spuriousness interjected by common method variance. Suggestions for future research include determining boundary variables which influence the direction of the relationship between overall and life facet satisfaction, and for identifying subgroups of individuals within which these relationships are homogeneous.     

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.     

Flames and Debates: Do Social Media Affect Satisfaction with Democracy?

Media plays an important role in defining the quality of democracy in consolidated democracy. Internet, in turn, can wield effects on democracy and many scholars have investigated such relationship. Moving from this literature we use Eurobarometer data to estimate the effect of Internet on the satisfaction with the functioning of democracy among European citizens. The results show that Internet usage, per se, has no effect on the satisfaction with democracy. However, the consumption of online news can make the difference, even though this effect is positive when users consume news from online traditional media while social media has a negative effect, which is mediated by the level of online disagreement and the potential emergence of flames.     

Public Services and the Quality of Life

This is a report of the results of a survey of citizen beliefs and attitudes about public services and the quality of life in Prince George, British Columbia, Canada in the summer of 1997. Information is provided about the perceived frequency with which various services were used, the perceived satisfaction and value for tax dollars spent on the services as well as on levels of government officials generally, preferences for the provision of more or fewer services and for spending relatively more or less revenue on different services, views about user-fees, and views about smoke-free public places and the likely impact of bylaw changes on people's behaviour. Using such information, we examined correlations among perceived satisfaction, perceived value for money, use, spending preferences and demand, and, using multiple regression analysis, explained 66% of the variance in life satisfaction scores, 57% of the variance in satisfaction with the quality of life scores and 37% of the variance in happiness scores. Applying LISREL 8.14, it was shown that a model in which our three global indicators were explained by 13 domain indicators was superior to a model in which the latter indicators were explained by the former, i.e., a Bottom-Up model was superior to a Top-Down model. A simple linear model was also used to explain 32%, 20% and 19%, respectively, of the variance in satisfaction with municipal, provincial and federal government officials.     

The impacts of the COVID-19 pandemic on birth satisfaction in a prospective cohort of 2,341 U.S. women

ProblemBirth satisfaction is an important health outcome that is related to postpartum mood, infant caretaking, and future pregnancy intention.BackgroundThe COVID-19 pandemic profoundly affected antenatal care and intrapartum practices that may reduce birth satisfaction.AimTo investigate the extent to which pandemic-related factors predicted lower birth satisfaction.Methods2341 women who were recruited prenatally in April–May 2020 and reported a live birth between April–October 2020 were included in the current analysis. Hierarchical linear regression to predict birth satisfaction from well-established predictors of birth satisfaction (step 1) and from pandemic-related factors (step 2) was conducted. Additionally, the indirect associations of pandemic-related stress with birth satisfaction were investigated.FindingsThe first step of the regression explained 35% of variance in birth satisfaction. In the second step, pandemic-related factors explained an additional 3% of variance in birth satisfaction. Maternal stress about feeling unprepared for birth due to the pandemic and restrictions on companions during birth independently predicted lower birth satisfaction beyond the non-pandemic variables. Pandemic-related unpreparedness stress was associated with more medicalized birth and greater incongruence with birth preference, thus also indirectly influencing birth satisfaction through a mediation process.DiscussionWell-established contributors to birth satisfaction remained potent during the pandemic. In addition, maternal stress and restriction on accompaniment to birth were associated with a small but significant reduction in birth satisfaction.ConclusionStudy findings suggest that helping women set flexible and reasonable expectations for birth and allowing at least one intrapartum support person can improve birth satisfaction.     

Exploring Wider Well-Being in the EU-15 Countries: An Empirical Application of the Stiglitz Report

We draw on the recommendations of the Stiglitz Report to select a set of economic and social variables that can be used to make cross-country comparisons of wider well-being. Using data for the EU-15 countries for 1999 and 2005, we show how three-way analysis can be used to extract synthetic information from a large data set to determine the main latent explanatory factors. In our case, we identify one dominant factor that we term the development profile, which is positively associated with the level of education outputs, technological progress and female labour market participation and negatively associated with the level of pollution. We rank the countries according to this factor and compare these rankings with simpler GDP comparisons and find that the two rankings are only weakly correlated.     

Away from Dissatisfaction,Closer to Well-Being: A Multidimensional Synthetic Measure

As part of the international debate on methods for measuring the social progress of a population, there has been increasing interest in individual subjective opinions about different aspects of quality of life (elementary indicators). In the literature, many methods have been introduced for producing measures of subjective well-being based on these opinions. Some of these methods aim to construct synthetic measures that allow us to consider all the aspects simultaneously. This topic often requires subjective methodological choices and/or distributional assumptions and, when the opinions are encoded by means of categorical ordinal values, the eventual quantification of the original variables. Here, starting from the Istat multipurpose survey on households’—aspects of daily life, we propose an original method for constructing a global satisfaction index. We introduce a variable based on the joint distribution of all the elementary indicators that is able to express the individual degree of global satisfaction. This approach allows us to maintain the original ordinal data scale and to avoid any aggregation formula. By comparing the observed distribution of the new variable and the theoretical one, which refers to the situation of overall dissatisfaction (all individuals are dissatisfied for every aspect), we propose three indices of global satisfaction. We also implemented two simulation studies that confirms both the efficacy and robustness of our method. We then applied it to measure the global satisfaction degree of the Italian population, using Istat multipurpose survey data for the year 2013.     

Social Capital and Subjective Wellbeing in Europe: A New Approach on Social Capital

This paper aims to analyze the relationship between the various dimensions of social capital and subjective wellbeing. Data used in this study come from the fourth wave of the European Social Survey and different measures of wellbeing are used to take account of both the cognitive and affective processes of individual wellbeing (i.e. life satisfaction, happiness, and subjective wellbeing). A factor analysis is performed to summarize information coming from a large set of variables into different components corresponding to each dimension of social capital (i.e. networks, norms, and trust). Among the results, we find that the impact of social capital on subjective wellbeing differ depending on the component of social capital which is under analysis. In particular, social networks, social trust and institutional trust are the components that show a higher correlation with subjective wellbeing. Furthermore, in addition to the positive effects of the individual variables, our results suggest that social capital at the aggregate level positively correlates with individual wellbeing, thus pointing to an external or environmental effect of social capital.     

Italian Quality of Life

The paper begins with a presentation of the quality of life in Italy as compared to other countries in the European Union. Several of the major socio-demographic and economic and life satisfaction (as revealed by the Eurobarometer survey) indicators are considered. Then, the Italian situation is discussed at greater length in the light of the transformations it has undergone in the past ten years. Thus it is possible to evaluate the following demographic themes: the profound process of aging; transformations in the family; and transformations in urban areas. The following economic themes are considered: the principal characteristics of the marketplace, in particular, the problem of unemployment; and household income and consumption. Finally, the time series of certain objective indicators are placed alongside those of life satisfaction.     

Regional Heterogeneity of Life Satisfaction in Urban China: Evidence from Hierarchical Ordered Logit Analysis

Given sheer geographic size and unequal regional development, common wisdom may attribute the heterogeneity of individual subjective wellbeing largely to regional disparity in China. Using a hierarchical ordered logit model and the Subjective Survey for Chinese Livelihood Index in 2012, this study however finds that regional factors only account for 3.7 % of total variance of individual subjective wellbeing in urban China. It implies that regional differences are not important for explaining individual happiness though some regional variables are statistically significant. Correspondingly, the Chinese governments should make policies down to individual level to promote people's life satisfaction. Other findings on income and social demographical variables are consistent with the current studies.     

Correlates of subjective well-being in Northern Wisconsin

This paper presents the results of an attempt to relate socioeconomic status, family status, social participation and personal disruptions of statuses and roles to an index of life satisfaction in rural sectors of Northern Wisconsin. While income, education and occupational status and level of living explain very little of life satisfaction, social participation variables explain somewhat more and disruptions of marital ties, job, physical well-being and residence explain most. Analyses by age and sex show that contacts with friends, relatives and church attendance are more important for the young, employment for the middle-aged and village residence more important for the older persons. The analysis supports the notion that life satisfaction results from the discrepancy between the aspirations and expectations of the individual and his ability to satisfy them within his environment. Education is negatively associated with subjective well-being when other variables are controlled. The influence of social involvement upon life satisfaction suggests the need for a modification of the aspiration-attainment model to include the integrative-expressive as well as the adaptive-instrumental processes of the individual.     

Social Construction of Public Intellectuals in Vietnam: Current Situation and Possible Changes

In the literature on political support, much empirical effort has been devoted to the link between economic performance and satisfaction with democracy. Nevertheless, analyses are often inconclusive in their findings. This study tries to renew the interest in the topic by using multilevel models to analyse 108 surveys from the repeated cross-sectional Eurobarometer data between 1985 and 2013, and focuses on southern European countries which share political and economic characteristics. Thus, the article links economic trends to changes in satisfaction with democracy in Greece, Italy, Portugal and Spain, also emphasizing the relevance of transformations in their political systems. The results demonstrate that low economic performance seems to negatively affect citizens’ satisfaction with democracy in the four countries and across the whole period analysed. This also holds true for different model specifications and when other potential factors such as the format and the performance of the institutional context are controlled for. By providing empirical evidence based on a longitudinal analysis, this article contributes to the wider debate on how economic conditions influence opinions about democracy.     

Introduction

The paper begins with a presentation of the quality of life in Italy as compared to other countries in the European Union. Several of the major socio-demographic and economic and life satisfaction (as revealed by the Eurobarometer survey) indicators are considered. Then, the Italian situation is discussed at greater length in the light of the transformations it has undergone in the past ten years. Thus it is possible to evaluate the following demographic themes: the profound process of aging; transformations in the family; and transformations in urban areas. The following economic themes are considered: the principal characteristics of the marketplace, in particular, the problem of unemployment; and household income and consumption. Finally, the time series of certain objective indicators are placed alongside those of life satisfaction.