Life Satisfaction of Older Adults in Hong Kong: The Role of Social Support from Grandchildren

This study explores the relationship between the life satisfaction of older adults and the social support from grandchildren in Hong Kong. Two hundred and fifteen older people (from the ages of 64 to 101, mean age 79.3), whose youngest grandchild was aged 12 or older, were recruited from elderly service agencies to participate in the study. Face-to-face interviews were conducted by trained interviewers using a standardized questionnaire, which included the Life Satisfaction Scale for Chinese, the Lubben Social Network Scale, the Chinese Tradition Scale, grandchildren social support measures, self-rated health, self-rated financial adequacy, and demographic variables. Hierarchical regression showed that the life satisfaction of older adults benefitted significantly from the social support from grandchildren (R ² change = .05, F _change = 7.15, p < .001); while controlling demographic characteristics, general social support, attitude towards Chinese tradition, self-rated health, and self-rated financial adequacy. The total explained variance was 51%. Emotional support and appraisal support from grandchildren were identified as significant contributing factors. The policy and practice implications for active aging policies are discussed in a Chinese context.     

Good Health is Not the Same as a Good Life: Survey Results from Brandon,Manitoba

The aim of this investigation was to obtain some baseline self-reported data on the health status and overall quality of life of a sample of residents of the city of Brandon, Manitoba aged 18 years or older, and to measure the impact of a set of designated health determinants, comparison standards and satisfaction with diverse domains of life on their health and quality of life. In May and June 2010, 2,500 households from the city of Brandon, Manitoba were randomly selected to receive a mailed out questionnaire and 518 useable, completed questionnaires were returned. Baseline health status data were obtained using the 8 SF-36 dimensions of health and 13 items from the United States Centers for Disease Control and Prevention, Behavioral Risk Factor Surveillance System. Determinants of health and overall quality of life included measures of socializing activities, a Good Neighbourhood Index, Social Support Index, Community Health Index, a measure of free-time exercise levels, health-related behaviours, use of drugs, health care issues, a set of domain-specific quality of life items, a set of measures concerning criminal victimization, worries and behaviours concerning victimization and the basic postulates of Multiple Discrepancies Theory. Overall life assessment, dependent variables included Average Health, happiness, a single item measure of satisfaction with life as a whole, a single item measure of satisfaction with the overall quality of life, the Satisfaction With Life Scale, Contentment with Life Assessment Scale and a Subjective Wellbeing Index. Using multiple regression, we explained as much as 75% of the variance in Subjective Wellbeing scores and as little as 45% in happiness scores. Four clusters of health determinants explained from 20% (Happiness) to 44% (Average Health) of the variance in the dependent variables. Adding comparison standards and domain satisfaction scores to the set of health determinants increased our total explanatory power by only 2% points for Average Health (from 44 to 46%), but more than doubled our explanatory power for Happiness (from 20 to 45%) and for satisfaction with the overall quality of life (from 31 to 67%). As well, our explanatory power for the single item of Life Satisfaction increased from 34 to 66%, for the Satisfaction With Life Scale from 39 to 74%, for the Contentment With Life Assessment Scale from 36 to 60%, and for Subjective Wellbeing from 42 to 75%. This provided very clear evidence that self-perceived good health is not equivalent to perceived quality of life, confirming evidence reported in our earlier studies. The three most important take-home messages from this investigation are (1) in assessing the relative influence of any alleged determinants of health and the quality of life, different sets of alleged determinants will appear to be more or less influential for different dependent variables. Therefore, (2) researchers should use diverse sets of determinants and dependent variables and (3) it is a big mistake to use measures of health status as if they were measures of the perceived quality of life.     

Impact of health and fitness-related behavior on quality of life

While the relationships between (a) health behavior and health status and (b) health status and perceived quality of life (QOL) have received some attention, the association between health behaviors and QOL has not been determined. The primary objective of this study was to assess the effects of health behaviors on QOL that are independent of the effects of health status. A sample of approximately 5 000 randomly selected U.S. Navy personnel was split into halves and analyses performed on each to establish the replicability of the findings. At step one of a multiple regression procedure, health status variables were forced into the equation; next, health behavior variables were entered. As expected, the block of health status variables was significantly related to QOL: self-assessed health and fitness status and lower reporting of physical symptoms accounted for 16% and 18% of the variance in QOL for the two subsamples. After controlling for health status, two behavioral measures made unique contributions to the prediction of QOL: behaviors related to avoiding unnecessary risks as a driver or pedestrain and avoiding or minimizing accidents. Wellness maintenance behaviors also were associated with QOL in one subsample. After controlling for health status, health behavior measures contributed an additional 11% and 6% of the explained variance in QOL for the two subsamples. Results indicate that health behaviors influence QOL independently of health status.     

Trust in Chinese Government and Quality of Life (QOL) of Sichuan Earthquake Survivors: Does Trust in Government Help to Promote QOL?

Social Indicators Research - Researches on the factors on earthquake survivors’ quality of life (QOL) focused on the demographic variables or the impact of mental illness on QOL. This study...     

The domains of life satisfaction: An attempt to order chaos

While life satisfaction is commonly measured as an aggregate of individual life domains, the characterisation of such domains is uncertain. This study attempts to group 173 different domains names derived from the literature under seven headings as used by the Comprehensive Quality of Life Scale (ComQol). It was found that 68% could be classified in this way. Moreover, due to the repeated use of some domain names, the ComQol classification included 83% of the total reported data. The ComQol domain data did not differ from single-item global measures of life satisfaction and the within-study variance was lower using the ComQol rather than the original domains. A hierarchy of domain satisfaction was found which was dominated by the domain of intimacy. The other ComQol domains were quite tightly clustered within a range of 1.08 standard deviations. No difference was found between normative data and data gathered from people with a chronic medical condition, but people selected on psychiatric criteria had a lower life quality, most particularly in the domain of intimacy. It is concluded that life satisfaction, and therefore subjective well-being, can be economically and validly measured through the seven ComQol domains.     

Determinanten der Lebensqualität psychisch kranker Personen

Not only chronic mental disease, but also psycho-social factors limit the quality of life (QoL) of mentally ill persons. From three theoretical explanation models of QoL — the medical model, labeling theory, and stress process model — we deduced three hypotheses. To test our hypotheses, we re-analysed data from the study “Social integration and quality of life of mentally ill people”. Data were derived from structured interviews with 305 in-patients in psychiatric institutions in the Canton of Zurich (Switzerland), and completed with few informations from their doctors’ files. Various QoL dimensions entered the statistical analyses as dependent variables. Results indicate varied explanation power of the models under investigation depending on the dimension of QoL: psychic symptoms highly influence the health-related QoL, but have only small effects on social and material QoL. Social as well as material QoL are strongly influenced by social support as well as, though to a lesser extent, by life stress events. Chronification of mental illness and perceived discrimination because of the mental disease indirectly affect QoL through reduced social support and increased psychic symptoms. From our results we conclude that social integration and rehabilitation of mentally ill people require a bio-psycho-social treatment approach.     

Personality and quality of life

The present study investigated a possible association between personality, mental absorption and quality of life (QOL) in a sample of young males (N=411). Mental absorption was assessed with Tellegen's Absorption Scale (ABS). Using a 6 dimensional QOL-scale we found the Millon Behavior Health Inventory (MBHI) dimensions Basic coping style, Psychogenic attitudes, Psychosomatic correlates and Prognosic indices, to be firmly related to QOL, explaining 44% of the variance of a QOL scale which was derived through factor analysis. Mental absortion was weakly related to QOL. The discussion revolves around the relationship between personality and perceptual style, health report behavior and personality as possible biasing factor in evaluative QOL-investigations.     

Affective and Daily Event Predictors of Life Satisfaction in College Students

The current study examined how well affect and daily events predict life satisfaction in 72 college students. Surveys assessing mood, affect balance, health, and sleep quality provided estimates of affect and daily events. The Satisfaction with Life Scale (SWLS) was used as a measure of general life satisfaction. The current results indicated that the SWLS was significantly correlated with feelings of depression, anger, vigor, and confusion, with physical health and frequency of physical illness, with positive and negative affect, and with sleep quality. The predictor variables used in the current study accounted for 54.1% of the total variance of the SWLS. However, only depression, vigor, confusion, frequency of illness and negative affect were significant predictors of life satisfaction in both a standard regression model and in a hierarchical forward regression model. More practically, an increase in subjective life satisfaction was predicted by decreases in depression, decreases in negative affect, decreases in the frequency of illness, and increases in vigor. These results indicate that judgements of life satisfaction, as measured by the SWLS, were significantly predicted by affect and daily events.     

Demographic Characteristics as Predictors of Quality of Life in a Population of Psychiatric Outpatients

Studies examining relationships between demographic variables in a general population of psychiatric outpatients and quality of life (QOL), in which QOL was assessed according to current recommendations, have not been performed yet. The aim of this study was to examine one particular aspect of this relationship: the question to what extent QOL scores can be predicted by demographic variables. In a sample of adult Dutch psychiatric outpatients (n=495), demographics were recorded and the participants completed a questionnaire for measuring QOL (WHOQOL-100). The relationships of the demographic variables with the WHOQOL-100 domains Social Relationships and Environment, were stronger than those with the domains Physical Health and Psychological Health. The latter had only significant relationships with educational level and sick leave, which explain little of the variance of the concerning QOL domain. In general, the demographic characteristics used, explained only a relatively small part of the variance in QOL scores. An exception was sick leave, which, in participants with a job, explained an extensive part (27.4%) of the variance of scores on the domain Physical Health.     

Gender Differences in the Relationship of Social Activity and Quality of Life in Community-Dwelling Taiwanese Elders

This study explores the gender differences in the relationship between social activity and quality of life (QOL). A cross-sectional survey of 220 community-dwelling elderly people was conducted in southern Taiwan. Social activity was classified into six categories. The brief version of the World Health Organization QOL (WHOQOL-BREF) was used to measure QOL. Findings revealed that the associations of six types of social activities with QOL were weaker among women than men. The regression analyses further showed that for women, only religious activity was positively related to total QOL, while for men only involvement in formal group activity was positively related to total QOL.     

Gender differences in the relationship of social activity and quality of life in community-dwelling Taiwanese elders

This study explores the gender differences in the relationship between social activity and quality of life (QOL). A cross-sectional survey of 220 community-dwelling elderly people was conducted in southern Taiwan. Social activity was classified into six categories. The brief version of the World Health Organization QOL (WHOQOL-BREF) was used to measure QOL. Findings revealed that the associations of six types of social activities with QOL were weaker among women than men. The regression analyses further showed that for women, only religious activity was positively related to total QOL, while for men only involvement in formal group activity was positively related to total QOL.     

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.     

Social Capital Associated with Quality of Life Mediated by Employment Experiences: Evidence from a Random Sample of Rural-to-Urban Migrants in China

Working-age migrants need to possess adequate social capital in order to secure a stable and satisfactory job so that they can pursue a better quality of life (QOL). The positive relationship between social capital and vocational experiences, including successful employment, has been well established. In this study we focused on testing a multi-step mediation model linking social capital with employment experiences, and further to QOL. Survey data from rural-to-urban migrants randomly selected from Wuhan, China were analyzed. Social capital, including bonding and bridging capital, was measured using the Personal Social Capital Scale; employment experiences were measured using five job-related items; and QOL was measured using the Brief Symptoms Inventory. Structural equation modeling analysis indicated that job security and job satisfaction were positively and significantly associated with QOL, and social capital measures were significantly associated with higher QOL (primarily for males). Furthermore, job security and job satisfaction fully mediated the relationship between social capital and QOL after controlling for covariates. Findings of this study suggest the significance of social capital, job security and satisfaction in improving migrants’ QOL, implying the importance of vocational experiences in mediating the effect from social capital to QOL. If the findings can be confirmed with longitudinal data, these factors should be considered in decision making to improve rural-to-urban migrants’ QOL in China.     

Impact of Acts of Discrimination on Quality of Life Among Injecting Drug Users in Delhi, India

The study examines the association between quality of life (QOL) and discrimination perpetrated against a vulnerable population like injecting drug users (IDU). Given that QOL affects self efficacy which in turn affects behavior, it is relevant to examine QOL among IDUs in the context of HIV prevention, and to study whether discriminations and human rights abuses impact QOL in this population. A cross sectional study was conducted in two research sites in Delhi, India among 343 IDUs recruited through a respondent driven sampling. A Hindi version of the WHOQOL Bref survey along with a survey questionnaire of discrimination were used to interview participants. After controlling for demographic characteristics, experiencing physical and verbal abuse (OR: 0.46, CI 0.27–0.79),arrests and imprisonment for carrying needles and/or using drugs (OR: 0.53, CI 0.31–0.90) and lacking health information (OR: 0.49, CI 0.29–0.85)was associated with lower social QOL, while being denied health care services was associated with lower psychological QOL. The more discrimination experienced, the lower was the quality of life in the social and psychological domains. Participants’ perceived well being in the four domains was related to their living conditions, discriminatory acts and to perceptions of social support. Discriminatory acts and abuses appeared to have a greater toll on their psychological well being and social relationships, thus indicating the need for human rights advocacy in order to influence law enforcement practices and to reduce stigma, while expanding social support through an extended comprehensive IDU programme.     

Quality of Life in College Students with and without Social Phobia

Prior studies demonstrating quality of life impairment in phobia and anxiety disorders have relied upon epidemiological samples or clinical data. Using the same quality of life scale, the Short Form 36-item Health Survey (SF-36), in Iranian college students allowed us to study the impact of social phobia (SP) on quality of life among the college students. This report summarizes findings from a cross sectional study on Iranian students with social phobia studying at Shahed University. Quality of life was measured using the Short Form 36-item Health Survey (SF-36) which is a widely used and valid questionnaire to measure quality of life in cross-sectional and longitudinal studies. Three standard instruments were used to measure social phobia severity, namely Social Phobia Inventory, Social Interaction Anxiety Scale, and Brief version of the Fear of Negative Evaluation Scale. The sample consisted of 202 college students, 72 with SP and 130 without SP. The main finding of this study was that students with social phobia reported significantly lower quality of life, particularly in general health (P = 0.02), vitality (P < 0.0001), social functioning (P < 0.0001), role functioning—emotional (P < 0.0001), and Mental health (P = 0.001) dimensions. Standardized summed scores for mental health components of the SF-36 showed that 36.2% of all the s with SP were severely impaired while 16.0% of the students in control croup were severely impaired. Findings demonstrated that Iranian socially anxious college students reported extensive functional disability, and lower well-being compared to those without SP. These findings should encourage education officers to implement systematic efforts to prevent and treat social anxiety among students.     

Mediating Effects of Core Self-Evaluations on The Relationship Between Social Support and Life Satisfaction

This study examined the mediating effect of core self-evaluations on the relationship between social support and life satisfaction in Chinese adults. Three hundred and forty-two (141 males and 201 females) from Mainland China completed the Multi-Dimensional Scale of Perceived Social Support, the Core self-evaluations scale and the Satisfaction with Life Scale. Correlational results indicated that social support was associated with core self-evaluations and life satisfaction, and core self-evaluations were associated with life satisfaction. Results using structural equation modeling showed that core self-evaluations partially mediated the relationship between social support and life satisfaction. Moreover, multi-group analyses indicated that the paths in the mediation model did not differ across gender. The significance and limitations of the results are discussed.     

Basic Minimum Needs,Quality of Life and Selected Correlates: Explorations in Villages in Northern India

For those involved in international development, one of the major goals is an improvement in the quality of life of the poor. Bhargava and Chakrabati (1992: 133) see the “primary objective of development at any given time is to improve the quality of life”. Indeed, the mission statement for an international development organization explicitly commits itself to the improvement of the quality of life for the “poorest of the poor” (DID, 1994). Social indicators, as “transeconomic” measures of quality of life, have “become an integral part of 'development indicators”' (Kao and Liu, 1984: 400; see, also Kahn, 1991). The connection between quality of life and development extends beyond the Third World. For example, in the U.S. Myers (1987) found quality of life influenced inmigration to Austin, Texas, thus affecting its economic development. Undoubtedly the majority of the connections between social indicators and development has been examined at the macro, or national levels using economic, health, education and other objective, comparative indices. Recognizing that such measures as GNP are oftentimes inadequate, assorted indices have been derived to gauge the changes in social development over time, e.g., the well-known Physical Quality of Life Index (PQLI) constructed by the Overseas Development Council (Morris, 1976). Many of these tend to focus on objective, material indicators (commodity possessions) as opposed to the more subjective ones (Anand and Ravallion, 1993). It is not the purpose of this paper to examine the various critics' arguments about the strengths and weaknesses of extant macro versus micro indices, but rather to lend support for the general need to assess development and social change through social indicators, whether macro or micro, objective or subjective. Ultimately, the purpose of the assessment should guide which social indicators are selected. The purpose of this paper is to examine several issues arising from the linkages between development efforts and quality of life (QOL). Using empirical data which were gathered to evaluate a community development project in the Garhwal region of Northern India, several issues, germane to both social indicators and development, will be investigated. These include: (1) the relationship between “Basic Minimum Needs” (BMNs) and QOL, (2) some methodological innovations for measuring both BMNs and QOL, and (3) selected correlates of BMNs and social indicators of QOL for Garhwali villagers. Before describing the project and its findings, we will first place it in the overall development context.     

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.     

Predictors of satisfaction with life among second generation migrants

As a part of a comprehensive study of the psychological acculturation of Portuguese youth born in France, this paper examines the relationship between satisfaction with life and some psychosocial variables. The sample consisted of 519 Portuguese youth resident in Paris (47% were male and 53% female). The following instruments were administered to all subjects: the Satisfaction With Life Scale, the Acculturative Attitudes Scales, the Social Anxiety Scale, two brief measures of (a) loneliness and (b) locus of control as well as a background inventory. As expected no gender differences were found, but there were significant effects on satisfaction with life related to religion, participation in an association, number of Portuguese friends and ethnic identity. Expressed satisfaction with life showed significant negative correlations with perceived difficulties of adaptation, marginalization, social anxiety, and loneliness; and positive correlations with integration and locus of control. Multiple regression analysis used to determine the significant predictor variables of satisfaction with life indicated that the strongest predictors were loneliness and perceived state of health.     

Could the EQ-5D be Used to Predict Mortality and Hospitalization Over a Long Term Period?

Although numerous studies have demonstrated that social support affects a range of life experiences, only a few have examined the moderators and mediators such as self-esteem. According to self-control theory, self-control represents one’s ability to override or change one’s inner responses, and to interrupt undesired behavioral tendencies and refrain from acting on them. A high level of self-control may help individuals to mediate or moderate negative affect and thus weaken any adverse effects, contributing to their subjective well-being (SWB) in the long run. The current study explored how this interaction may affect the subjective well-being of the Chinese elderly, for whom self-control and social support are especially important life management issues. The study examined whether self-control mediates and moderates the relationship between social support and SWB among the elderly Chinese population. The data were collected from 335 elderly Chinese people (162 females and 173 males) from ten cities in central China, who completed the Chinese Social Support Scale, Trait Self-control Scale, Life Satisfaction Scale and Positive and Negative Affect Scale. The results showed that self-control, social support and SWB were strongly and significantly related. Hierarchical regression analysis showed that self-control partially mediated the influence of social support on SWB. Moreover, self-control moderated the relationship between social support and positive affect, but not life satisfaction and negative affect. These findings imply that self-control is a critical indicator of SWB and can serve as a basis for differentiating between intervention strategies that promote SWB among the elderly by helping them manage positive and negative affect. Future studies should further examine the internal mechanisms by which self-control influences SWB.