Are Happier People More Willing to Make Income Sacrifices to Protect the Environment?

There is considerable amount of debate about the effect of affluence on environmental concern. The empirical literature is inconclusive on this debate. Increasingly, more studies are examining individual level correlates of environmental concern. On the other hand, a large number of studies examine the correlates of happiness. An important aspect of the economics of happiness literature emphasizes the relationship between environmental quality or concern and happiness. A few scholars suggest that happiness may influence environmental concern. Yet studies on whether happiness affects environmental concern are lacking. This paper empirically investigates the effect of happiness on environmental concern in a cross-national sample. Using data for 18 countries, I find that happier people are more willing to make income sacrifices to protect the environment. This finding holds for residents of both African and developed countries.     

The perceived quality of life in Norway: Regional variations and contextual effects

This article deals with perceived quality of life and its relationship to sociodemographic background variables in Norway. We try to answer two questions, viz (1) to what extent does the absolute level of quality of life as well as the relationships between quality of life and individual-level sociodemographic variables vary between Norwegian counties? and (2) are such variations related to specific characteristics of the various counties? Some between-county variation is found, but in most cases the pattern of variation is not replicated across surveys. For variation in the absolute level of QOL as well as in the relationship between an individual's education and QOL, however, there is a moderate degree of stability. Contextual analyses show that the relationship between education and QOL is positive and moderately strong in affluent counties, near zero or negative in economically more backward areas. The results are interpreted within the framework of a person-environment fit model.     

Economic Disparities and Life Satisfaction in European Regions

This paper investigates the role of economic variables in predicting regional disparities in reported life satisfaction of European Union (EU) citizens. European subnational units (regions) are defined according to the first-level EU nomenclature of territorial units. We use multilevel modeling to explicitly account for the hierarchical nature of our data, respondents within regions and countries, and for understanding patterns of variation within and between regions. Main findings are that personal income matters more in poor regions than in rich regions, a pattern that still holds for regions within the same country. Being unemployed is negatively associated with life satisfaction even after controlled for income variation. Living in high unemployment regions does not alleviate the unhappiness of being out of work. After controlling for individual characteristics and modeling interactions, regional differences in life satisfaction still remain, confirming that regional dimension is relevant for life satisfaction.     

Predictors of stress and depressive mood in Portuguese middle-aged women

ABSTRACT

This cross-sectional study investigates the predictors of psychological symptoms—stress and depressive mood—in a sample of middle-aged women. A community sample of 1,003 women filled in the questionnaires and instruments, which included the Depression, Anxiety and Stress Scales and the Life Events Survey; sociodemographic, health, and menopause-related and lifestyle information was also collected. Structural equation modeling was used to build the model that had stress and depressive mood as dependent variables. Health status (both physical and psychological), recent life events, income and menopausal phase were significantly associated with the frequency of stress and depressive symptoms. Additionally, educational level and parity were also significant predictors of depressive mood. This study emphasizes that psychological symptoms occurrence in midlife depends not only on personal variables (such as health and menopausal status) but also on contextual ones (including recent stressful events) that can be a strong influence on how middle-aged women feel.     

Race,intervening variables,and two components of low birth weight

The low birth weight (LBW) gap between blacks and whites has remained largely unexplained in past research. Most previous research on the topic has focused on LBW as a single entity, and without using a causal framework for. analysis. The present study examines the determinants of race differences in the two main components of LBW-preterm birth (PRETERM) and intrauterine growth retardation (IUGR)-within a partially causal framework that includes social and proximate explanatory variables. The data come from the 1988 National Survey of Family Growth. This study asks, first, through what intervening variables do race and other exogenous sociodemographic variables operate to raise the risk of these adverse pregnancy outcomes? Second, what are the determinants of the two components of LBW when all explanatory variables are included in the model? The findings reveal differences in how race (and other exogenous variables) act through downstream variables to affect PRETERM and IUGR, as well as differences in the net determinants of these pregnancy outcomes. The models are better able to account statistically for race differences in IUGR (which is explained by intervening sociodemographic, attitude, and behavior variables) than in PRETERM (which is explained partly by intervening health variables).     

Using experts’ consensus (the Delphi method) to evaluate weighting techniques in web surveys not based on probability schemes

Weighting techniques in web surveys based on no probability schemes are devised to correct biases due to self-selection, undercoverage, and nonresponse. In an interactive panel, 38 survey experts addressed weighting techniques and auxiliary variables in web surveys. Most of them corrected all biases jointly and applied calibration and propensity score adjustments. Although they claimed that sociodemographic and web-related variables are the most useful auxiliary variables to employ in adjustments, they considered only sociodemographic variables to correct biases because of their availability.     

The moderating effect of threat on the relationship between population concern and environmental concern

Two hundred sixty-one research participants completed a questionnaire designed to measure concern for the environment and concern for population growth. The introduction to the questionnaire focused on either threat to society, personal threat, or no threat. Contrary to some previous research findings, a positive correlation between concern for the environment and concern for population growth was found. This finding is explained by the simultaneity of measurement of the two constructs, item phrasing, and the possibility that previous research findings lacked transhistorical reliability. The threat manipulation was found to moderate the relationship between concern for the environment and concern for population growth. Analyses of demographic variables showed that women expressed more environmental concern that men, and that regular church attendees expressed the least concern for population growth.     

Determinants of temporal and areal variation in infant mortality in Germany, 1871–1933

This article investigates how sociodemographic, economic, medical, and public health factors influence infant mortality by using data about German administrative areas from 1871 to 1933. Marital fertility has the largest impact on infant mortality, followed by illegitimacy, medical care, urbanization, and infant welfare centers. The variables considered here account for most of the variation in infant mortality. Some of the unexplained variance is due to factors associated with regions, such as breastfeeding patterns, and with time periods, such as national health insurance. The analyses found no evidence that advances in medical technology affected infant mortality or that the influence of economic development changed over time.     

Exploring relationships between sexual orientation and satisfaction with faculty and staff interactions

Lesbian, gay, and bisexual (LGB) students are a unique population within colleges and universities, yet, few studies have sought to uncover the distinctive environmental influences and background characteristics that foster their satisfaction. The purpose of this study was to examine the relationship between sexual orientation and a sense of satisfaction with faculty and staff interactions among undergraduate students. Analysis of variance results indicated that LGB students, on average, reported significantly higher satisfaction with faculty and staff interactions than heterosexual students. Using Astin's (1993 ) input-environments-outcome model as a conceptual framework, the hierarchical regression analysis yielded numerous significant variables as predictors for student satisfaction with faculty and staff interactions.     

Psychosocial Predictors of Self-Esteem in a Multiethnic Sample of Women Over 50 at Risk for HIV

Self-esteem is linked to high-risk behaviors in other populations but has not been examined in women aged 50 and older. This study explored how self-esteem is related to variables that can influence high-risk sexual behaviors in women over 50. A multiethnic community-based sample of 572 women aged 50 and older completed an anonymous questionnaire on sexual behaviors, sociodemographic characteristics, and psychosocial measures relevant to midlife and older women. Regression analysis showed sensation-seeking, HIV stigma, sexual assertiveness, and self-silencing predicted self-esteem in women over 50 (F = 43.632, p < .001). Factors such as relational context, interpersonal power, and silencing can affect self-esteem and may be contributing to HIV risk in this group.     

Psychosocial predictors of self-esteem in a multiethnic sample of women over 50 at risk for HIV

Self-esteem is linked to high-risk behaviors in other populations but has not been examined in women aged 50 and older. This study explored how self-esteem is related to variables that can influence high-risk sexual behaviors in women over 50. A multiethnic community-based sample of 572 women aged 50 and older completed an anonymous questionnaire on sexual behaviors, sociodemographic characteristics, and psychosocial measures relevant to midlife and older women. Regression analysis showed sensation-seeking, HIV stigma, sexual assertiveness, and self-silencing predicted self-esteem in women over 50 (F = 43.632, p < .001). Factors such as relational context, interpersonal power, and silencing can affect self-esteem and may be contributing to HIV risk in this group.     

Residential expansion as a continental threat to U.S. coastal ecosystems

Spatially extensive analysis of satellite, climate, and census data reveals human-environment interactions of regional or continental concern in the United States. A grid-based principal components analysis of Bureau of Census variables revealed two independent demographic phenomena, α-settlement reflecting traditional human settlement patterns and β-settlement describing relative population growth correlated with recent construction in non-agricultural areas, notably in coastal, desert, and “recreational” counties and around expanding metropolitan areas. Regression tree analysis showed that β-settlement was differentially associated with five distinct combinations of seasonality, summer heat or cool, intensity of agriculture, and extent of “barren” land. Beta-settlement was greatest in coastal and desert areas, and coincided with national concentrations of threatened and endangered species.     

Parenting from a distance: The effects of paternal characteristics on contact between nonresidential fathers and their children

Changes in marital and fertility behavior have influenced the role of father for many men. We use data from the first two waves of the National Survey of Families and Households to examine various sociodemographic, situational, and attitudinal characteristics that might influence the degree of contact between nonresidential fathers and their minor children. We tap two different dimensions of distance parenting and find that although several variables influence both visiting and talking on the telephone or writing letters, some factors (the presence of multiple children in a household) predict visiting only, while others (child’s age and gender) predict only verbal/written contact. Similarly, some of the life-course decisions made by fathers appear to crowd out their involvement with nonresidential children, whereas other decisions reinforce their parenting behavior.     

Cross-Cultural Analyses of Determinants of Quality of Life and Mental Health: Results from the Eurohis Study

Recent projects on international instrument development have produced a wide array of health indicators that may be used for cross-cultural field-testing, however more information on their cross-cultural performance in relation to health determinants is necessary. The current study approaches one step for international conceptual validation by analysing the association between various health determinants and different types of health outcomes (mental health, quality of life) across a range of countries or geographical areas. The current study is based on the EUROHIS project that has been conducted in a sample of 4849 adults across 10 European countries. Results highlight that interactions between health determinants with subjective mental health, general health and quality of life (QoL) differ between Western European countries, Eastern European countries and the Newly Associated States as well as Israel. Using a MIMIC model approach, we were able to show that the impact of each of the sociodemographic variables cannot be interpreted on the basis of its single loading but only seeing the interacting with other indicators. Future studies should include sociodemographics in MIMIC models in each latent factor before carrying out regressions on a larger scale. Future investigations will require larger and representative samples to (a) test models on latent factors of mental health and QoL and (b) on the basis of these findings test overall structural models across countries.     

Environmental concern and fertility intentions among Canadian university students

Little is known about how environmental concern in young adulthood may shape childbearing attitudes and intentions. Here, we examine the relationship between individual environmental concern, fertility intentions, and attitudes toward reproduction in a sample of Canadian university students, N?=?139. General environmental concern and pollution-related health concerns both predicted a less positive attitude toward having children. Further, attitude toward having children mediated the negative relationship between pollution-related health concerns and personal fertility intentions. This study offers an important early step in empirical examination of the association between environmental concern and fertility.     

Racial differences in contraceptive choice: Complexity and implications

Previous research has failed to generate consensus about why black fertility has persistently exceeded that of whites in the United States. In an effort to shed light on this question, this article examines black/white differences in sociodemographic factors affecting contraceptive choice. Using data from the 1976 and 1982 National Surveys of Family Growth, we find a complex pattern of black/white differences. Not only does contraceptive choice vary by race, but the effects of such variables as age, marital status, and education also differ between blacks and whites. For example, compared with whites, black married women avoid coital methods, and compared with blacks, white women shift contraceptive behavior more as they change marital status. The complex nature of the racial differences in contraceptive choice are interpreted as reflecting differences in marriage patterns and trends.     

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.     

Demographic change and shifting views about marine resources and the coastal environment in Downeast Maine

Connections to the sea often define the character of coastal towns. However, as migrants arrive and economic diversification occurs, views about the use of marine resources and the ocean environment can change. Using survey data from Maine, we examined whether shifting demographics affect public perceptions of marine resource uses and coastal environmental concerns. We tested resource use and environmental items against a common set of demographic, background, and place-related variables. Results indicate that the level of education and the county of residence predict Mainers?? views about different marine resource uses and ocean-related environmental issues. Political party affiliation strongly influences environmental concern but not views about the use of marine resources. Migration history, on the other hand, has little effect. Understanding community contexts as well as individual background and ideological orientations will be critical as managers attempt to balance alternative uses of marine resources and resolve coastal environmental problems.     

Exploring factors influencing adverse birth outcomes in a regional hospital setting in Ghana: A configuration theoretical perspective

BackgroundUnderstanding the complexity of factors that influence adverse childbirth outcomes at health facilities can be enhanced by the theoretical articulation of the interplay between external socio-structural and internal technical dynamics of the birthplace in context. Guided by configuration theory, this study explored the factors that influence adverse birth outcomes at a regional hospital setting in Ghana.MethodsQualitative data were collected from the Upper West regional hospital in Ghana. In-depth interviews were administered to 30 purposively selected respondents comprising 20 postpartum mothers and 10 midwives. The data was electronically audio-recorded, transcribed and analysed using thematic analysis.FindingsThe study revealed three key dimensions of socio-technical configurations shaping adverse birth outcomes within the hospital setting. These are mother-midwife personality and behavioral dynamics including personality clashes and poor communication; birth process dynamics consisting of diverse paradigms of safe birthing process and socio-technical conflicts on caesarean section; and birthplace context, comprising nature of the birthing environment, confidence in the safety of the birthplace and national health policy implementation challenges. These socio-technical interactions result in late reporting at facilities by mothers and delay in care delivery by midwives, contributing to adverse birth outcomes.ConclusionIn line with configuration theory, our study positions the influences of adverse birth outcomes in hospital settings in alignment with a subtle and iterative interplay of socio-technical factors. To comprehensively address adverse birth outcomes in hospital settings, health policymakers and practitioners need to understand and contextualise the socio-technical interactions that shape notable outcomes at specific hospital settings.     

Can Knowledge Improve Population Forecasts at Subcounty Levels?

Recent developments in urban and regional planning require more accurate population forecasts at subcounty levels, as well as a consideration of interactions among population growth, traffic flow, land use, and environmental impacts. However, the extrapolation methods, currently the most often used demographic forecasting techniques for subcounty areas, cannot meet the demand. This study tests a knowledge-based regression approach, which has been successfully used for forecasts at the national level, for subcounty population forecasting. In particular, this study applies four regression models that incorporate demographic characteristics, socioeconomic conditions, transportation accessibility, natural amenities, and land development to examine the population change since 1970 and to prepare the 1990-based forecast of year 2000 population at the minor civil division level in Wisconsin. The findings indicate that this approach does not outperform the extrapolation projections. Although the regression methods produce more precise projections, the least biased projections are often generated by one of the extrapolation techniques. The performance of the knowledge-based regression methods is discounted at subcounty levels by temporal instability and the scale effect. The regression coefficients exhibit a statistically significant level of temporal instability across the estimation and projection periods and tend to change more rapidly at finer geographic scales.