Skewed Sex Ratios and Criminal Victimization in India

Although substantial research has explored the causes of India’s excessively masculine population sex ratio, few studies have examined the consequences of this surplus of males. We merge individual-level data from the 2004–2005 India Human Development Survey with data from the 2001 India population census to examine the association between the district-level male-to-female sex ratio at ages 15 to 39 and self-reports of victimization by theft, breaking and entering, and assault. Multilevel logistic regression analyses reveal positive and statistically significant albeit substantively modest effects of the district-level sex ratio on all three victimization risks. We also find that higher male-to-female sex ratios are associated with the perception that young unmarried women in the local community are frequently harassed. Household-level indicators of family structure, socioeconomic status, and caste, as well as areal indicators of women’s empowerment and collective efficacy, also emerge as significant predictors of self-reported criminal victimization and the perceived harassment of young women. The implications of these findings for India’s growing sex ratio imbalance are discussed.     

Criminal Victimization and Crime Risk Perception: A Multilevel Longitudinal Study

In a national sample of the Italian population, surveyed four times between October 2002 and January 2007 (N = 2,008), we performed a multilevel longitudinal study aimed at predicting the increase in crime risk perception as a function of three families of independent variables, respectively lying at the within individual level (direct victimization and indirect victimization), at the between-individuals level (being a woman, being an older person, being a poorly educated person and size of area of residence) and at the ecological level (county’s crime rate, unemployment rate and immigration rate). Direct and indirect victimization, being a woman, being an older person, living in a large town and in a context characterized by high crime and unemployment rates positively influenced the change in crime risk perception, while the other individual and ecological predictors we used in our predictive model did not. Strengths, limitations, implications and future developments of this research are discussed.     

Electronic Bullying and Victimization and Life Satisfaction in Middle School Students

This study examined the nature and prevalence of electronic bullying and victimization in a sample of middle school students in a southeastern USA school. Relationships among measures of electronic bullying and victimization and global and domain-specific life satisfaction were also investigated. A total of 855 7th and 8th grade US students responded to questions regarding global and domain-based life satisfaction, electronic bullying and victimization behaviors. Although a majority of students reported not engaging in or being the victim of electronic bullying, the small percentage of students who did report these behaviors as being problematic indicated that the behaviors occurred several times a week. Statistically significant correlates of electronic bullying were self-reported grades in school, gender, and parent marital status. Significant correlates of victimization were self-reported grades in school, parent marital status, and ethnicity. The results suggested modest, but pervasive relationships between experiences of electronic bullying and victimization and adolescents?? life satisfaction reports across a variety of important life domains. When the effects of demographic variables were controlled, the relationship between electronic victimization and global life satisfaction became non-significant, suggesting that global life satisfaction reports may mask the effects of specific life satisfaction domains.     

Victimization and Life Satisfaction: Evidence from a High Crime Country

This study quantifies the relationship between crime and life satisfaction for Jamaica, a country that records the highest rates for violent crimes relative to the rest of the world and has one of the highest regional crime expenditure. We utilize individual-level survey data from 2006–2014 that capture victimization and other characteristics related to life satisfaction. Controlling for potential confounders reveals that crime is significantly and negatively related to life satisfaction. More importantly, we find that for this high-crime country, the cost to life satisfaction of being a crime victim amounts to roughly 65% of annual household expenditure. We also find heterogeneous effects for reported assault and robbery even though only the monetary losses incurred from assault are economically significant.

     

Health and the Quality of Life

The aim of this investigation was to explain theimpact of peoples self-reported health on theirlevels of satisfaction with their health, and theimpact of these things plus satisfaction with otherspecific domains of their lives on the perceivedquality of their lives. The latter was operationalized as general happiness, satisfactionwith life as a whole and overall satisfaction with thequality of life. Seven hundred and twenty-three (723)usable questionnaires returned from a mailout randomsample of 2500 households of Prince George, BritishColumbia in November 1998 formed the working data-setfor our analyses. Among other things, mean respondentscores on the SF-36 health profile were found to belower than published norms from the UK, USA,Netherlands and Sweden, but higher than scores fromAberdeen, Scotland. Mean scores on the CES-Ddepression scale also indicated that our respondentstended to have more depressive symptoms thancomparison groups in Winnipeg and the USA. A review oftrends in mean scores on 17 quality of life items(e.g., satisfaction with family life, financialsecurity, recreation, etc.) from 1994, 1997 and 1998revealed that there were only 7 statisticallysignificant changes across the four year period andthey were all negative. Multivariate regressionanalysis showed that health status measured with avariety of indicators could explain 56% of thevariation in respondents reported satisfaction withtheir health. A combination of health status plusdomain satisfaction indicators could explain 53% ofthe variation in respondents reported happiness, 68%of reported life satisfaction and 63% of reportedsatisfaction with the overall quality of life. Sixtypercent of the explained variation in happiness scoreswas attributable to self-reported health scores, whileonly 18% of the explained variation in satisfactionwith life and with the overall quality of life scoreswas attributable self-reported health scores.     

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.     

Policing Services and the Quality of Life

In this paper results are reported of a randomsample survey of 698 residents of PrinceGeorge, British Columbia taken in May 2001.The main aim of the survey was to measurerespondents' assessments of local policeservices in Prince George, and their relativeimpact on the quality of respondents' lives.Generally speaking, the evaluations were quitefavourable. For example, in response to thequestion `what kind of a job do you think theRCMP are doing', 30% said a `very good job'and 38% said a `fairly good job', compared to2% who said they were doing a `very poor job'and 4% more a `fairly poor job'. Compared toa 1997 survey, fewer people thought that crimehad increased in the past few years, which isactually consistent with official crimestatistics. The biggest perceived problem waswith speeding and careless driving, althoughrespondents rated traffic and highwayenforcement as the least important of a dozenkinds of police activities. People mostappreciated police work aimed at preventingcrimes. Of the things people did to protectthemselves from becoming a victim, keepingitems in their cars out of sight headed thelist. As in previous surveys in thiscommunity, highest levels of satisfaction wereexpressed for living partners and familyrelations generally. Estimating the relativeimpact of three police/crime related variables(satisfaction with feelings of personal safetyaround one's home and in one's community, andwith local policing services) on the qualityof life measured in five different ways in thecontext of 12 other variables, it was foundthat only the last variable (satisfaction withpolicing services) had a statisticallysignificant association to the quality of lifemeasured in three of the five ways. Fortypercent of the variation in happiness scoresand 63% of the variation in life satisfactionscores could be explained by five and sixpredictors, respectively, without anysignificant association with satisfaction withpolicing services. Sixty-two percent of thevariation in satisfaction with respondents'overall quality of life scores could beexplained by eight predictors, withsatisfaction with policing services as thethird most influential predictor behindsatisfaction with respondents' self-esteem andfriendships. Sixty-one percent of thevariation in satisfaction with respondents'standard of living scores was explained byseven predictors, with satisfaction withpolicing services being least influential.Finally, 76% of the variation in an index ofsubjective well-being (summing the scores ofthe other four global indicators) wasexplained by nine predictors, withsatisfaction with policing services beingsecond least influential.     

Materialism and Quality of Life

An attempt is made in this paper to establish a foundation for a theory of materialism and quality of life. The theory posits that overall life satisfaction (quality of life) is partly determined by satisfaction with standard of living. Satisfaction with standard of living, in turn, is determined by evaluations of one's actual standard of living compared to a set goal. Materialists experience greater dissatisfaction with their standard of living than nonmaterialists, which in turn spills over to overall life causing dissatisfaction with life in general. Materialists experience dissatisfaction with their standard of living because they set standard of living goals that are inflated and unrealistically high. These goals set by materialists are more influenced by affective-based expectations (such as ideal, deserved, and need-based expectations) than cognitive-based ones (such as predictive, past, and ability based expectations). Materialists' ideal standard-of-living expectations are influenced by social comparisons involving remote referents, more so than comparisons involving standards that are situationally imposed. Examples of situationally-imposed standards are perceptions of wealth, income, and material possessions of family, friends, neighbors, colleagues, and so on. In contrast, examples of standards based on remote sources are perceptions of standard of living of others in one's community, town, state, country, other countries; perceptions of standard of living of others based on gender, age, education, ethnicity, occupation, and social class. This tendency to use remote referents in social comparisons may account for materialists' inflated and value-laden expectations of their standard of living. Materialists' deserved standard-of-living expectations are influenced by the tendency to engage in equity comparisons involving income and work. Thus, materialists compare themselves with others that seem to have more income and worked no harder. These equity comparisons generate feelings of inequity, injustice, anger, or envy. These emotions may also account for materialists' inflated and value-laden expectations of their standard of living. Materialists' standard-of-living expectations based on minimum needs are influenced by the tendency to spend more than generate income. This proclivity to overconsume and underproduce may be partly responsible for materialists' inflated and value-laden expectations of their standard of living.     

Quality of Life in Hong Kong: the Cuhk Hong Kong Quality of Life Index

The CUHK Hong Kong Quality of Life Index, which aims to assess and monitor the quality of life in Hong Kong, is a composite index incorporating both objective and subjective measures. This index, developed by the Faculty of Social Science of The Chinese University of Hong Kong, employs data collected in representative sample surveys and official statistics. A wide range of life domains is covered and the year 2002 is taken as the base year of the study. Index scores demonstrate that in general the quality of life in Hong Kong has improved slightly in 2003; scores of the composite index and the three sub-indices on sectorial performance are somewhat higher than those of the previous year. It is noteworthy that Hong Kong has made noticeable progress and performs as well as many economically advanced societies in certain life domains; yet, the well-being of the people relies on further improvement in others.     

Quality of Life in Hong Kong: the Cuhk Hong Kong Quality of Life Index

The CUHK Hong Kong Quality of Life Index, which aims to assess and monitor the quality of life in Hong Kong, is a composite index incorporating both objective and subjective measures. This index, developed by the Faculty of Social Science of The Chinese University of Hong Kong, employs data collected in representative sample surveys and official statistics. A wide range of life domains is covered and the year 2002 is taken as the base year of the study. Index scores demonstrate that in general the quality of life in Hong Kong has improved slightly in 2003; scores of the composite index and the three sub-indices on sectorial performance are somewhat higher than those of the previous year. It is noteworthy that Hong Kong has made noticeable progress and performs as well as many economically advanced societies in certain life domains; yet, the well-being of the people relies on further improvement in others.     

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.     

Measuring Quality of Life

This paper considers quality of life (QOL) to be a global, yet unidimensional, subjective assessment of one's satisfaction with life. This conceptualization is consistent with viewing QOL assessments as resulting from the interaction of multiple causal dimensions, but it is inconsistent with proposals to limit QOL to health-related quality of life (HRQOL). We test the unidimensional yet global conceptualization of QOL using data from coronary artery bypass graft (CABG) patients. The Self-Anchoring Striving Scale (SASS) and four other indicators derived from the literature, all seemed to function as indicators of a single concept (QOL) that was repeatedly drawn upon as the patients determined their responses to these indicators. However, only about half the variance in each indicator was attributable to that common QOL source. Several structural equation models are used to assess whether the superior performance of the Life 3 indicator is an artifact of the repetition of an item within this indicator. The data convincingly indicate that the superior performance is not a memory artifact, and that even the repetition of an identically worded item prodded the patients into drawing yet again upon the same QOL factor that grounded all the other measures.     

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

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

The Quality of Korean Life in Camparative Perspective: Objective Quality of Life in Korea and the OECD Countries

Social Indicators Research - This study attempts to compare the current state of Korea's quality of life with that of more developed countries in their past, and seeks to derive suggestions for...     

Quality of Life and Living Conditions in the Netherlands

Social Indicators Research - The four planning offices in the Netherlands form a network which coversall areas of government. This network matches with the policy-structurein Dutch administration....     

Ethnicity,Modern Prejudice and the Quality of Life

The aim of this investigation was to measure levels of ethnic or cultural background diversity, social cohesion and modern prejudice, and the impact of such diversity, cohesion and prejudice on the quality of life. Using a sample of 743 residents of Prince George, British Columbia, we identified diverse ethnic or cultural groups, and created several indexes of heterogeneous social networks and a measure of modern prejudice. Dividing the total sample into three roughly distinct groups containing, respectively, respondents self-reporting an ethnic or cultural background that was aboriginal, non-aboriginal visible minority or anything else, we discovered that all significant comparisons indicated that people with aboriginal backgrounds reported a generally lower quality of life than those in the other two groups. The quality of life scores of the other two groups were practically indistinguishable. Given the demographic structure of our sample, the revealed differences could not be attributed to differences in socio-economic classes. Members of the largest group of respondents tended to be most prejudiced and optimistic, people with aboriginal backgrounds tended to be least prejudiced and optimistic and people with visible minority backgrounds tended to be between the other two groups. Regressions revealed that a variety of ethnic/culture-related phenomena could only explain 8%, 9% and 10%, respectively, of the variation in scores for happiness, life satisfaction and satisfaction with the overall quality of life. When domain satisfaction scores were added to the set of predictors, we were able to explain 48%, 69% and 54%, respectively, of the variation in scores for happiness, life satisfaction and satisfaction with the overall quality of life. In the presence of the domain satisfaction scores, the scores on the ethnic/cultural related phenomena added only one percentage point of explanatory power for happiness and life satisfaction, and three percentage points for satisfaction with the overall quality of life. All things considered, then, it is fair to say that this project showed that ethnic or cultural background diversity, social cohesion and modern prejudice had relatively very little impact on the quality of life of our sample of respondents.     

Quality of Life Across Life Domains: Family Structure and Relations

Social Indicators Research - This paper aims to evaluate how the Korean family fares in terms of itsquality of life. Specifically, it examines the perceived quality of relationships among family...     

Multidimensional Quality of Life: A New Measure of Quality of Life in Adults

This paper presents a new measure for assessing quality of life (QOL) –the Multidimensional Quality of Life (MQOL)– and describes its derivation, characteristics, structure and several applications. Reasons for developing the MQOL include the restricted range of assessed domains and the heavy emphasis on health in many standard assessment tools. The MQOL was derived by meaning probes into QOL in different samples. It is a 60-item self-report tool of high reliability and validity covering various themes and forming, in line with factor and cluster analyses, 17 scales that constitute five factors according to confirmatory factor analysis. It has been applied with thousands of individuals, in English, Hebrew, Russian and Arabic, and is adequate for healthy and physically or mentally sick individuals, under regular or challenging circumstances. Described studies present findings in samples of sick or healthy individuals (e.g., unemployed, members of a collapsing Kibbutz); relations between the MQOL and coping strategies in partners of sick individuals; and interrelations of overall and scale scores in new and old immigrants. Conclusions focus on the structure of the MQOL, the specificity of coping effects, and the stabilizing mechanisms of QOL.     

Life Quality measures of smoking

The cost of smoking has three principal dimensions: money, reduced life expectancy, and diminished health. Each component can be quantified; all have an influence on the quality and duration of life. The combined influence can be evaluated using an aggregated social indicator, such as the Life Quality Index. It can be expressed in various ways, e.g. as an equivalent move to a nation or to a time with a lower level of the LQI, as an equivalent economic loss, or as an equivalent loss of life expectancy. To illustrate, the analysis is applied to Danish data on smoking; the cost for a typical pack-a-day habit is equivalent to a 57% reduction in personal income, 8.6 years loss of life expectancy, or a 4% drop in the Life Quality Index. These measures underscore the seriousness of smoking as a health hazard.     

Quality of Life Predictors and Normative Data

This study identifies predictors and normative data for quality of life (QOL) in a sample of Portuguese adults from general population. A cross-sectional correlational study was undertaken with two hundred and fifty-five (N = 255) individuals from Portuguese general population (mean age 43 years, range 25–84 years; 148 females, 107 males). Participants completed the European Portuguese version of the World Health Organization Quality of Life short-form instrument and the European Portuguese version of the Center for Epidemiologic Studies Depression Scale. Demographic information was also collected. Portuguese adults reported their QOL as good. The physical, psychological and environmental domains predicted 44 % of the variance of QOL. The strongest predictor was the physical domain and the weakest was social relationships. Age, educational level, socioeconomic status and emotional status were significantly correlated with QOL and explained 25 % of the variance of QOL. The strongest predictor of QOL was emotional status followed by education and age. QOL was significantly different according to: marital status; living place (mainland or islands); type of cohabitants; occupation; health. The sample of adults from general Portuguese population reported high levels of QOL. The life domain that better explained QOL was the physical domain. Among other variables, emotional status best predicted QOL. Further variables influenced overall QOL. These findings inform our understanding on adults from Portuguese general population QOL and can be helpful for researchers and practitioners using this assessment tool to compare their results with normative data.