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There are over 200 identified community based indicator projects in the United States. This paper reviews the factors that contribute to the success and failure of community indicator projects and discusses the types of desired outcomes that communities are trying to achieve. Both organizational and political factors contributing to the success of community indicators projects are discussed. Appendices include information on many of the community indicator projects in the United States. Advice for communities seeking to launch an indicator project are outlined.

This paper extends and further validates the quality-of-life/community-healthcare model and measures developed by Rahtz and Sirgy (2000). The quality of life (QOL) model is based on the theoretical notion that community residents' satisfaction with healthcare services available within their community affects community quality of life and life satisfaction. This study extends the model and, in keeping with past research, posits that the bottom-up spillover from community QOL to life satisfaction is greater for those individuals with low personal health satisfaction, lower income, and old age. Data were collected from 1094 community residents in the East-Coast area of the United States. The results provide good support of the new model. Managerial implications and applications for the new model are discussed.

The author reflects several topics that discuss how to build knowledge for the children's well-being in the U.S. The topic focused on the theories behind the development of child social indicators. It is stated that the ability to track the lifestyle of the children would show the positive development in the society.

Research on immigrants’ assimilation is widespread both in the U.S. and Europe. While it has been extensively studied how immigrants fare compared to natives on socio-economic indicators, few studies have focussed on immigrants’ perception of their position. In this paper we focus on comparing life satisfaction of immigrants and natives across Europe and on the role of social embeddedness. Using data from the first six rounds (2002-2012) of the European Social Survey, a repeated cross-sectional survey, we find that life satisfaction among immigrants is lower than among natives even though differences diminish over generations. For first generation immigrants part of the life satisfaction gap is explained by the lower level of social embeddedness they have compared to natives. We also find that social embeddedness is a key explanatory factor for life satisfaction for both immigrants and natives. For two out of the three indicators of social embeddedness that we consider we however find different patterns of association with life satisfaction for immigrants compared to natives. [ABSTRACT FROM AUTHOR]

With a focus on the United States, this paper addresses the basic social indicators question: How are we doing? More specifically, with respect to children, how are our kids (including adolescents and youths) doing? These questions can be addressed by comparisons: (1) to past historical values, (2) to other contemporaneous units (e.g., comparisons among subpopulations, states, regions, countries), or (3) to goals or other externally established standards. The Child and Youth Well-Being Index (CWI), which we have developed over the past decade, uses all three of these points of comparison. The CWI is a composite index based on 28 social indicator time series of various aspects of the well-being of children and youth in American society that date back to 1975, which is used as a base year for measuring changes (improvements or deterioration) in subsequent years. The CWI is evidence- based not only in the sense that it uses time series of empirical data for its construction, but also because the 28 indicators are grouped into seven domains of well-being or areas of social life that have been found to define the conceptual space of the quality of life in numerous studies of subjective well-being. Findings from research using the CWI reported in the paper include: (1) trends in child and youth well-being in the United States over time, (2) international comparisons, and (3) best-practice analyses. [ABSTRACT FROM AUTHOR]

United States Department of Agriculture defines food insecure as answering affirmatively to three or more food insecurity questions describing a household’s ability to acquire enough food. Households indicating low levels of food insecurity (one or two affirmative responses) are considered food secure. This paper compares the characteristics of households with one or two positive survey responses (termed marginally secure in this paper) to those with zero positive responses (food secure) and those with three or more positive responses (food insecure). The analysis utilizes Current Population Survey Food Security Supplement data to compare the characteristics and food purchasing of food secure, marginally secure and food insecure households using binomial and multinomial logistic regression and t-tests. Binomial logistic regression models indicate that grouping insecure and marginally secure households together does not change predictors of food insecurity. Multinomial logistic regression models suggest a three category definition of food insecurity is appropriate because there are distinctions among the three categories. There are significant differences in food spending across the groups. Prevalence of U.S. food insecurity and need for food assistance may be underestimated because marginally food secure households are considered food secure. The current measure fails to recognize that marginally secure households may experience poorer quality of life as do food insecure households. [ABSTRACT FROM AUTHOR]

This paper first reviews the goals of the founding documents of the social indicators and quality-of-life movements of the 1960s and 1970s. It next describes the current state of knowledge with respect to the founding goals of this field. The focus then turns to the topic of measuring changes in child and youth well-being in the United States over the past few decades. In particular, the evidence-based approach used in the construction of the recently developed composite Child and Youth Well-Being Index (CWI) is described. Some findings from the CWI regarding changes in child and youth well-being in the period 1975–2004 are reported. Trends in the CWI then are compared with data on trends in subjective well-being of high school seniors – similarities of trends in these two series provide validating support for the interpretation of the CWI as an index of changes in the quality-of-life of children and youth. Using data on some additional indicator series, most of which were initiated in the 1990s, an Expanded CWI is then described. The qualitative pattern of change in the expanded CWI is shown to be similar to that of the basic CWI, except that the expanded CWI shows a more pronounced decline in the early-1990s and a slower rate of improvement into the early-2000s. The paper concludes with some possible directions for future work. [ABSTRACT FROM AUTHOR]

This paper uses recent data on U.S. children from the National Survey of America’s Families (NSAF) to create indices that tally the number of problems or risks that individual children experience. We compare results with those from indices developed elsewhere that assess the change across sets of population-level indicators. While the two types of indices show similar trends over time, specific changes, as well as trends, depend on the specific domain of well-being or context examined, highlighting the importance of the distinction between well-being and context. Children with problems in multiple domains tend to be socio-economically and demographically disadvantaged compared with other children. We preface this work by providing an overview of the history of child well-being indicators and distinguish indices of child well-being from indices of the condition of children. [ABSTRACT FROM AUTHOR]

This paper reports a study designed to develop and validate a measure of quality of college life (QCL) of students. Using a theoretical model based on a build-up approach to QCL, the authors provide an empirical examination of various hierarchical components and their properties. The method is executed in two stages. The first stage is used to clarify the particular elements for inclusion in the model. The second phase uses a sample of students drawn for the campuses of three major universities in the United States. These samples were used to test several hypotheses regarding the model and its components. The results generally provide support. Finally, the discussion centers on the value of the model in application by both university officials and public policy officials in the at-large community. [ABSTRACT FROM AUTHOR]

This paper empirically analyzes the impact that the spread of casino gambling has on social capital in communities throughout the United States. Social capital is a networking process that translates into an individual’s effectiveness in the community and workplace, and binds communities together. Several recent studies have also demonstrated a link between higher levels of social capital and quality of life. In this study, social capital is measured based on six dimensions: trust, civic, volunteerism, group participation, giving, and meeting obligations of family and friends. Using data from the DDB Needham database for the years 1978, 1988, and 1998, regression analysis is conducted on over 300 Metropolitan Statistical Areas throughout the United States to determine the impact that the spread of casino gambling has on social capital. The results of the analysis indicate that the presence of casino gambling significantly reduces social capital when a casino is located within 15 miles of a community, suggesting that a casino’s location influences a community’s quality of life and should be a consideration when deciding on the merits of gambling legalization. [ABSTRACT FROM AUTHOR]

Part of a wider range of investigations to produce generally acceptable standards for measuring affective well-being, time diary surveys have tested several approaches to measuring subjective well-being during diary days. As an alternative to the standard approach of asking a single question about each activity reported in time diary surveys, the 2010 module of the American Time Use Survey asked six emotion questions about three activities. The perception questions captured how happy, meaningful, sad, tired, stressed, or in pain respondents felt on a 7-point scale. To evaluate this approach, our research examined the reliability and validity of the six emotion questions, and assessed their variability across activities. Using principal component analysis, we assessed the associations among items and obtained two activity-level components with Cronbach's alphas of 0.68 and 0.59 and two respondent-level components with Cronbach's alphas of 0.74 and 0.65. To test validity, we regressed self-rated health on the underlying components and socio-demographic controls. Both of the respondent level components were significantly associated with better health (odds ratio 1.81, 1.27). Using each of the perceptions individually, we found that happiness, meaningfulness, and lack of fatigue, stress, and pain were related to better health, but none as strongly as the first component. Finally, we examined the coefficients of variation to assess the variability in the well-being measures across activities. Measurement implications and limitations of this study are discussed. [ABSTRACT FROM AUTHOR]

In this article, we report statistical properties of two classes of generalized Gini coefficients (G1 and G2). The theoretical results were assessed via Monte Carlo simulations. Further, we used G1 and G2 on life expectancy to measure health inequalities among the provinces of China and the states of the United States. For China, the results indicated that there was statistically significant health inequality by both G1 and G2. However, for the US, the results showed that there was significant health inequality by G1 but no statistical significance was found in health inequality by G2. Overall, from our study, China has higher health inequality than the United States. [ABSTRACT FROM AUTHOR]

Quality of Life (QOL) is often measured with surveys of citizen’s satisfaction. In contrast, the current research uses already-existing voting data to infer citizens’ perceptions of QOL. Under this model, citizens decide how much their QOL has improved (or declined) since the last election, and then vote to reward (or punish) the incumbent party accordingly. Analysis of the popular vote for the incumbent party then allows inference on how citizens judge their QOL and how they weight the various domains. Previous research has concluded that voters reward an incumbent who improves the economic domain prior to election. I test whether voters also reward declining crime rates, and estimate how citizens weight the relative importance of each in determining QOL. I analyze the vote shares by state from U.S. presidential elections from 1972 to 1996. Results show that changes in crime rates do influence vote share, consistent with the responsibility hypothesis, but to a smaller degree than the economic domain does. The method described provides convergent evidence that citizens weight domains differentially, and can provide the weights for a national QOL index. [ABSTRACT FROM AUTHOR]

This paper extends and further validates the quality-of-life/ community-healthcare model and measures developed by Rahtz and Sirgy (2000). The quality of life (QOL) model is based on the theoretical notion that community residents' satisfaction with healthcare services available within their community affects community quality of life and life satisfaction. This study extends the model and, in keeping with past research, posits that the bottom-up spillover from community QOL to life satisfaction is greater for those individuals with low personal health satisfaction, lower income, and old age. Data were collected from 1094 community residents in the East-Coast area of the United States. The results provide good support of the new model. Managerial implications and applications for the new model are discussed. [ABSTRACT FROM AUTHOR]

Despite clear evidence that Americans’ economic standard of living has improved over the last half-century in terms of income, ownership of technology and housing among other indicators, there is scant evidence from non-economic quality-of-life (QOL) indicators of improved life quality to parallel these economic gains. The present article adds to this list in showing little if any progress in three QOL indicators (the first two about time and activity) that have received less or no attention in the social indicators literature, namely (1) frequency of the highly enjoyable activity of sex, (2) participation in various serious arts activities and (3) scores of verbal ability. The data on sexual activity and verbal ability come from the 1974–2008 General Social Surveys (GSS) from the University of Chicago, and for the arts from the 2008 Survey of Public Participation in the Arts (SPPA) conducted by the US Census Bureau for the National Endowment for the Arts since 1982. All three surveys interviewed nationally representative samples, with over 70% response rates and sample sizes of more than 15,000 adults. The GSS data on sexual frequency show no significant increase in estimated frequency of sex since 1989, despite its strong appeal and the availability of new societal conveniences. This held both before and after adjustment for the age, marital status and education in the population; contrary to expectation, working long hours was associated with increased sex both before and after adjustment for these other demographic predictors. The SPPA trend data on arts participation actually showed a decline in participation, especially after adjustment for its major predictor of years of education; again no decreased participation was found among those working long hours. While scores on verbal ability in the GSS have stayed rather steady since 1974, they have decreased after MCA adjustment for the increased college education in more recent years, as documented by Nie et al. (). Thus, contrary to expectations, increases in public education have not been accompanied by improvements on these three indicators. [ABSTRACT FROM AUTHOR]

We are interested in the relationship between public policies and outcomes measuring quality of life. There is no outcome more final than the ending of one’s own life. Accordingly, we test the relationship between public policy regimes and suicide rates in the American states. Controlling for other relevant factors (most notably a state’s stock of social capital), we find that states with higher per capita public assistance expenditures tend to have lower suicide rates. This relationship is of significant magnitude when translated into potential lives saved each year. We also find that general state policy liberalism and the governing ideologies of state governments are linked to suicide rates. In response to a growing literature on the importance of non-political factors such as social connectedness in determining quality of life, these findings demonstrate that government policies remain important determinates as well. [ABSTRACT FROM AUTHOR]

The National Index of Violence and Harm (NIVAH) tracks levels of violence and harm in the United States and identifies trends over the study period 1995–2003. NIVAH is comprised of nineteen variables in the areas of interpersonal, intrapersonal, institutional and structural violence and harm as experienced by people in the U.S. Two composite indexes are formed to describe overall trends in the realms of personal and societal violence. In addition to describing the Index’s construction and most recent conclusions, various methodological issues and their impacts on index findings are investigated. [ABSTRACT FROM AUTHOR]

To describe the development of a model for estimating the effects of tobacco use upon Quality Adjusted Life Years (QALYs) and to estimate the impact of tobacco use on health outcomes for the United States (US) population using the model. We obtained estimates of tobacco consumption from 6 years of the National Health Interview Survey (NHIS). In addition, NHIS data were used to impute the Quality of Well-Being (QWB) Scale using a new methodology known as QWBX1. The QWB places health status on a continuum ranging from death (0.0) to full functioning without symptoms (1.0). The method allows the adjustment of life expectancy for reduced quality of life associated with health conditions. NHIS data were matched to the National Death Index for 14,464 deaths occurring by December 31, 1997. The analysis is limited to adults between the ages of 18 and 70 years. Quality of Well-Being scores were broken down by age and for six smoking categories: (1) non-smokers, (2) those who smoke 1–10 cigarettes per day, (3) 11–20 cigarettes per day, (4) 21–30 cigarettes per day, and (5) 31–40 cigarettes per day, and (6) 40 or greater cigarettes per day. There was a systematic relationship between current tobacco use and health-related quality of life at each point along the age spectrum and there was a clear and systematic separation of quality-adjusted life expectancy by number of cigarettes smoked per day. Teenagers who continue to smoke loose 3.5 QALYs between ages 18 and 70 in comparison to non-smokers. A greater portion in the loss in QALE is attributable to quality of life than to shorten life expectancy. The overall goal of Healthy People 2010 is to increase Years of Healthy Life (or QALE) in the United States. Each year, tobacco use results in hundreds of thousands of quality-adjusted life years lost. Combined models of morbidity and mortality incorporating a range of tobacco consumption levels are required to best represent the impact of tobacco use. [ABSTRACT FROM AUTHOR]

The article presents a study on the comparisons of health outcomes for children living in Canada, England, Norway, and the U.S. Results of the study indicated that Norwegian children have better health than children in the other three countries but Canadian children have better over-all parental assessed status. However, U.S. children rank ahead in terms of anxiety, hyperactive behavior and depression while English children have better outcomes for less likely to have accidents and injuries.

This study applies a relatively new method called ‘co-plot’ to examine the relationships between the 48 contiguous states of the United States and selected indicators of quality of life in 1970 and 1990, and how these characteristics coincide with five-year interstate migration rates. The findings show an overall process of polarization of quality of life throughout the country. Strong similarity was found between states of a given division or region. The states which composed New England, the Middle Atlantic and the Pacific divisions are located in the strong sector of the socio-economic space. The direction of migration is toward states of the more external belts of the country. In the second part, multiple regression analysis was applied revealing a strong effect of economic incentives on migration; over time; migration turns into a widespread phenomenon among different socio-economic groups, with income becoming less significant as a predictor of interstate migration. [ABSTRACT FROM AUTHOR]

The study of quality of life remains a key area of interest for not only researchers but to society. Through research being completed in multiple disclines and from a multitude of perspectives, the need to understand the full breadth of quality of life is required in order for the further development of this research area. Through building on previous research completed on quality of life from multiple disclines, this study utilizes numerous objective and subjective indicators to model quality of life in a community in the southwest United States. Through the analysis of 352 completed surveys, it was found that the two strongest predictors of quality of life were community pride and community elements. Of interest is that a number of other indicators including recreation participation and length of residency in a community were found to have a negative relationship with quality of life. [ABSTRACT FROM AUTHOR]

Determines the behavioral model to optimize financial quality of life in the U.S. Source of financial stress; Factors affecting development of behavioral pattern; Link between money problems and emotional distortions.

Examines the development of conceptual models explaining the effect of neighborhood features on the quality of life of the residents in Virginia. Details of the models; Role of neighborhood satisfaction in community satisfaction; Relation between housing satisfaction and home satisfaction.

Examines the changes in the well-being of children and youth in the United States. Presentation of social indicators of quality of life; Emphasis of social scientist on the assessment of life quality; Improvement in the material well-being and safety of children.

Examines the relationship between objective (O) and subjective (S) quality of life (QOL) indicators in the United States. Complexity of variables measured within the O and S dimension; Independence of O and S indicators; Influence of homeostatic control on the subjective QOL; Impact of low objective threshold of living on homeostasis.

Presents a study that attempts to develop measures of the quality of life (QoL) of states in the United States to identify pathways of improving it. Social indicators include health, housing, longevity, a toxic-free environment and crime; Factors influencing QoL; Hypotheses on the production of wealth, migration and urbanization, religion and stress levels.

Presents a study which looks at the quality of life of African American between the period of 1980 and 1992. Detailed information on the methodology used to conduct the study; Discussion based on the results of the study.

Discusses six approaches in determining quality of life and health in the United States. Health-related quality of life; Quality of life as social diagnosis in health promotion; Quality of life among persons with developmental disabilities; Quality of life as social indicators; Center for Health Promotion (University of Toronto) model; Lindstrom's quality of life model.

Focuses on conceptual and methodological issues related to health/disability prevention for older people. Reasons why older people are not seen as targets of health promotion efforts; Establishment of national working groups to examine how older people's health can be improved; National Institute on Aging's health and behavior research.

Examines quality of life concerns that pertain to secondary level students with disabilities who participate in high school programs in United States. Issues and programs that pertain to transition period; Nature of the transition period; Overview of major school programs that address concerns of students with disabilities; Contrasting definitions of quality of life.