Reliability and Validity of an Adapted Version of the Cantril Ladder for Use with Adolescent Samples

There are a number of measures of life satisfaction for use with adolescent samples. The adapted Cantril Ladder is one such measure. This has been collected by the Health Behaviour in School-aged Children (HBSC) study in HBSC member countries across Europe and North America for several survey cycles, dating back to 2002. Although this measure has been piloted in the HBSC member countries, and analysed and reported in several international scientific journals and reports, it has never been formally validated. This study aims to be a first step in validating the adapted Cantril Ladder to establish if it is fit for purpose in the measurement of global life satisfaction among adolescents in Scotland. The study found that across samples of 11–15 year old pupils, the Cantril Ladder showed good reliability, and among 11 year olds, better than that of the Students’ Life Satisfaction Scale, an often used measure in adolescent samples. The Cantril Ladder also showed good convergent validity with other emotional well-being measures, perceived health and subjective health. Gender differences were noted in the convergent analysis suggesting gender differences in factors influencing or influenced by life satisfaction measured using this instrument.     

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.     

Quality of life indicators: A preliminary investigation

Concern over the ‘quality of life’ in the United States seems to have increased proportionally with technological advancement and growth in material wealth. Growing public interest in social, economic, political and environmental conditions has led to the search for indicators which adequately reflect the overall ‘health’ of the nation and its citizens' well-being. This paper developed a systematic methodology for assessing social, economic, political, and environmental indicators to reflect the quality of life in the U.S. Nine indicators, including Individual Status, Individual Equality, Living Conditions, Agriculture, Technology, Economic Status, Education, Health and Welfare and State and Local Governments were compiled from more than 100 variables for 50 states and the District of Columbia. Based primarily on 1970 data, QOL indexes were generalized and the states were rated. Comparisons among similar studies were made and analyses among indicators were also performed.     

The mental health demographic profile system: A longitudinal information system

This paper presents the plans currently being developed to make the Mental Health Demographic Profile System into a longitudinal information system useful for research and program planning. Topics discussed are as follows:

1. Development of a data base that contains 1960, 1970, and 1980 small areas (census tracts, MCDs or CCDs, counties). Preliminary tables for 1960,and 1970 will be displayed. Problems of identifying constant small areas for 1960 and 1970 are discussed.
2. Items to be included in the standard profile and items to be available for use (but not part of the standard profile) are discussed.
3. Improvement of access to the data system is discussed. This includes a discussion of the interactive programs being developed and the possible transfer of service and maintenance functions (but not development functions) to the National Center for Health Statistics.

     

A test of the utility of social indicators for behavioral health service planning

Given current imperatives for more effective, responsive, and economical government, policy planners and administrators are seeking increasing assistance from social scientists. Here the usefulness of social indicators to the processes of policy planning and implementation in the delivery of mental health, alcohol and drug abuse services is investigated to determine whether social indicator data can contribute to more effective policy planning. In a two part study, the relationship between social indicators and Specific sources of these data were: population total, subdivided by geographic area and race (Caucasian, Black, and Other, which in Arizona is virtually all Native Americans) from the 1975 special census; population by age and ratio of dissolutions to marriages from the Arizona Statistical Review for 1977; crime rates from the Arizona State Justice Planning Agency for 1975; and cause of death rates from the Bureau of Vital Statistics, Arizona Department of Health Services for 1975. Subjective measures of psychological well-being were not available for the internal validational component of the study. state wide service utilization rates and The Negative Affect Scale measures the individual's level of anxiety, worry, loneliness, and sadness, and is associated with other measures that have been used in epidemiological studies to identify persons with psychological difficulties. The Psychiatric Screening Inventory assesses an individual's level of psychiatric impairment as evidenced by the frequency with which he or she reports having experienced each of the 22 psychological and psychosomatic symptoms on the scale. It has also been used in numerous epidemiological studies to investigated levels of impairment among various populations. The Positive Affect Scale reflects the degree to which the person is involved with, interested in, and experiences control over his or her physical and social environment. Active involvement with the world and frequent social participation are considered to be conducive to the experience of positive affect. The Perceived Quality of Life Scale measures the degree to which the persons is satisfied with the quality of his or her life. The score on this scale is a composite of the respondent's level of satisfaction in different areas of life such as standard of living, health, personal functioning, and family life. The greater the satisfaction in these separate areas, the higher will be the individual's overall evaluation of the quality of his or her life. psychological well-being in the community is examined. Both objective and subjective social indicators were studied. Both types of indicators were found to be useful and complementary in identifying service needs and states of well-being in the community.     

Mediating Effects of Affect and Loneliness on the Relationship Between Core Self-evaluation and Life Satisfaction Among Two Groups of Chinese Adolescents

This study examined the mediating effects of affect (positive and negative affect) and loneliness on the relationship between core self-evaluations (CSE) and life satisfaction among two groups of Chinese adolescents. Three hundred adolescents (169 males and 131 females) from Shenzhen and Xi’an in China completed the Core Self-evaluations Scale, Positive and Negative Affect Scale, UCLA Loneliness and Satisfaction with Life Scale. Research revealed that positive and negative affect, and loneliness fully mediated the relationship between CSE and life satisfaction. The relationship between CSE and loneliness was partially mediated by positive and negative affect. Loneliness partially mediated the relation between positive and negative affect and life satisfaction. The final model also indicated two significant paths from CSE through positive and negative affect and loneliness to life satisfaction. Furthermore, a multi-group analysis found that the paths did not differ across gender. Limitations of the study are considered and implications of the results for enhancing adolescents’ life satisfaction are discussed.     

Family planning and population control in developing countries

This essay aims at a critical analysis of the major assumptions of the family planning movement and their implications for population and development policy in the less developed countries. A neo-Malthusian perspective, in which a reduction of the current high rates of population growth is considered to be a necessary condition for economic development in the less developed countries, is dominant among professionals in family planning. Population control has come to be regarded as a kind of“leading sector” in the development process. The position taken in this paper is that the contention that fertility reduction is crucial to short term economic development is not substantiated empirically and represents a distorted view of the economic development process. Nor is there good evidence that demographic modernization can move far ahead of other aspects of modernization. Skepticism about the success of family planning tends to lead to advocacy of alternative methods of population control which are generally beyond the economic, administrative, and political capacities of the less developed countries and are sometimes repressive in tone. The family planning movement, in overstressing the independent contributions of fertility reduction programs, has tended to underplay conditions such as improved health, lowered mortality, and altered opportunity structure which make these contributions possible at all.     

Reproductive mortality in Georgia: A lifestyle and environmental analysis

Frequencies and rates of maternal mortality in the United States have declined sharply since the turn of the century. During this decline, researchers have closely examined maternal mortality relative to various risk factors. However, maternal death as currently defined and coded on death certificates may not reveal the true extent of the problem of reproductive mortality. In Georgia, an analysis of death certificates of females ages 10 to 49 indicates that deaths due to pregnancy related conditions are not being discovered by traditional underlying cause-of-death maternal mortality classification. Frequencies and rates were calculated showing the difference between the traditional International Classification of Disease codes for maternal deaths (ICD 630–676) and the reproductive mortality definition used in this paper (which emphasizes the Health Field Concept classification of Lifestyle, Environment, Biology and Health Care Delivery System) (Lalonde, M., 1974 and Laframboise, H. L., 1973). The analysis suggests that a revised definition of maternal mortality be employed to take into consideration all risk factors related to reproductive mortality.     

The Subjective Happiness Scale: Translation and Preliminary Psychometric Evaluation of a Spanish Version

The aim of the present study was to investigate the psychometric properties of the Spanish version of the Subjective Happiness Scale (Lyubomirsky and Lepper in Soc Indic Res 46:137–155, 1999) in a wide sample of 1,155 participants (448 men, 707 women) from three different groups (high school students, college students, and community adult participants). The participants completed the following measures: the Spanish version of SHS, the Satisfaction with Life Scale, the Beck Depression Inventory and the Spielberger Trait Anxiety Inventory. The results revealed preliminary evidence of adequate internal consistency, appropriate test–retest reliability and convergent validity for research purposes. Also, results from confirmatory factor analyses showed a clear one-factor structure, identical with the English version. No significant sex effects were evidenced, although differences between the high school student group and the undergraduate university group were found. In general, our findings add empirical evidence of the usefulness of such a brief measure for the assessment of subjective happiness in large-scale national and international studies with native Spanish-speaking populations. Finally, practical recommendations and future lines of research are suggested.     

Psychometric Evaluation of a Serbian Version of the Subjective Happiness Scale

The main aim of this research was to examine the psychometric properties of the Subjective Happiness Scale (SHS; Lyubomirsky and Lepper in Soc Indic Res 46:137–155, 1999) in a sample of young adults in Serbia (N = 605, mean age = 21.99). The SHS demonstrated adequate internal consistency reliability and homogeneity. Exploratory and Confirmatory factor analyses supported the unidimensional structure of the SHS. The results provided support for the convergent validity of the SHS, by significant correlations with measures of subjective well-being (life satisfaction, positive and negative affect, emotional distress), positive expectations (optimism and self-efficacy), meaning in life and personality traits (extraversion and neuroticism). As compared to the Satisfaction with Life Scale, the SHS showed significantly higher correlations with measures of emotional states and personality traits. Hierarchical regression analyses showed that the SHS had incremental validity over and above subjective well-being and personality traits in predicting emotional distress and meaning in life.     

A social change index-an objective means to discern and measure the relative current social condition of cities,towns, and their sub-communities

A social change index has been developed in response to a social planning need to have a means whereby the current social pathology of communities may be identified on an objective basis. The index is derived from a combination of social indicators which are reported by census tract by the State of Rhode Island on an annual basis. The index is particularly useful for the inter-decennial years because high mobility rates, particularly in central cities (up to 80% in some areas of these cities), cause census data to be unrepresentative in many instances for these years. In addition to serving as a means to identify social needs and problem areas, the index may be used for priority ranking of need for social program services, program monitoring, and program evaluation. The State of Rhode Island is expected to institute a Committee on Social Statistics among whose primary responsibilities will be to encourage state agencies to publish their social statistics by census tracts in their annual reports. It is presumed, consequently, that a larger number of current social indicators will be available to be included in the social change index and increase its accuracy.     

An epidemiological model for health policy analysis

Health programs needing health and other related data have failed in their solutions because they have lacked a rational framework for analysis. A cursory analysis of present disease patterns reveals chronic conditions for which the present system of organized health care has no immediate cures. On the other hand, infectious diseases of decades past have been all but eliminated by vaccines and antibiotics. Before we are able either to prevent or to arrest current disease processes, we must dissect the health field into more manageable elements that reflect a creative area for epidemiological models. An epidemiological model that supports health policy analysis and decisiveness must be broad, comprehensive, and must include all matters affecting health. Consequently, four primary divisions have been identified: (1) System of Health Care Organization; (2) Life Style (self-created risks); (3) Environment; and (4) Human Biology. An application of the epidemiological model involves four steps: (1) the selection of diseases that are of high risk and that contribute substantially to the overall morbidity and mortality; (2) to proportionately allocate the contributing factors of the disease to the four elements of the epidemiological model; (3) to proportionately allocate total health expenditures to the four elements of the epidemiological model; and (4) to determine the difference in proportions between (2) and (3) above. Five tables illustrate how the epidemiological model is applied, showing the diseases selected for analysis; the contributing factors of each disease to the four components of the epidemiological model; the distribution of Federal outlays for medical and health-related activities by category; the distribution of Federal outlays of health expenditures by category; and a comparison of Federal health expenditures to the allocation of mortality in accordance with the epidemiological model. The conclusion to be drawn from this study is that, based on current procedures for reducing mortality and morbidity, little or no change in our present disease patterns will be accomplished unless we dramatically shift our health policy.     

The usefulness of the munsh as a measure of well-being and psychopathology

Recent questions about the validity and reliability of general measures of psychological well-being over the adult life span led us to address three basic questions in the current investigation. Firstly, does the Memorial University of Newfoundland Scale of Happiness (MUNSH) retain its psychometric properties for groups significantly younger than its standardization sample? Secondly, can the MUNSH be used to discriminate between clinical and community samples throughout the adult life span? Finally, what aspects of pathology are being accessed by such scales as the MUNSH? Forty community and 117 recent admissions to a psychiatric hospital served as subjects. Both groups were administered by the MUNSH; in addition, scores on Jackson's Basic Personality Inventory (BPS) were obtained for the clinical group. Results showed the MUNSH to be an instrument of high reliability that could effectively discriminate between community and clinical populations for both younger and older age groups. Virtually all of the explained MUNSH variance was attributed to the Depression scale of the PBS, a finding consistent with the hypothesis that measures of well-being are primarily sensitive to levels of depression.     

Psychometric Properties of the Flourishing Scale in a New Zealand Sample

The Flourishing Scale (FS; Diener et al. in Soc Indic Res 97(2):143–156, 2010) was developed to assess psychological flourishing, which can be conceived of as a social-psychological prosperity incorporating important aspects of human functioning. This study takes the FS, which has previously been validated on convenience samples of students, and analyses the underlying structure, psychometric properties, and demographic norms using nationally-representative data from New Zealand’s Sovereign Wellbeing Index (n = 10,009; Human Potential Centre in Sovereign Wellbeing Index: New Zealand’s first measure of wellbeing. Auckland University of Technology, Auckland, 2013). Evidence for the reliability and validity of the FS is presented (Cronbach alpha) and its performance compared to other related scales and behaviors. Exploratory and confirmatory factor analysis demonstrated the one factor structure of the 8-item FS. Contemporary population norms for the FS are reported, providing a much-needed benchmark for estimation of population health and permitting cross-study and international comparisons. The study provides further evidence that the FS is a valid and reliable brief summary measure of psychological functioning, suited for use with a wide range of age groups and applications.     

A note on new estimates of the mortality of the extreme aged

This note reports on the utilization of the “extinct generation” method, a procedure that permits a reconstruction of “extinct” population cohorts from the death statistics for a series of years and provides alternative estimates of the mortality of the extreme aged population (persons 85 years of age and over) in the United States during the period 1951–1965. Remarkably close correspondence was found between the annual mortality rates thus derived and figures published by the National Center for Health Statistics. It was concluded that the quality of the mortality rates produced was superior to the official figures but not markedly so. An advantage of the method is the ability to produce rates in detail, such as for five-year age groups, not ordinarily published for the 85 and over population.     

Self reported morbidity in London and Manchester: Intra-urban and inter-urban variations

Evidence of self reported morbidity from two household surveys, carried out in London and Manchester is discussed. These data permitted intra-urban and interurban comparisons of patterns of morbidity reporting. The morbidity reported in response to two different instruments is compared: for the items used in the British General Household Survey (GHS) Health Section, and for the Nottingham Health Profile. The results from the London survey are analysed in more detail to examine the nature of self reported morbidity in the inner and outer city. The influence of interviewer effects is analysed, showing that the GHS items were more liable to interviewer effect than the NHP. The type and number of illnesses reported in response in response to the GHS also appeared to vary between the inner and outer London samples: The NHP appeared to be less affected by interviewer effects and variation in interpretation.     

Comparative estimates of teenage illegitimacy in the United States, 1940–44 to 1970–74

Incompleteness in the reporting of illegitimate births in the U.S. vital registration system due to the consistent nonparticipation of a number of large States has left data published by the National Center for Health Statistics open to considerable criticism. Utilizing retrospective marriage and fertility data from the June 1978 Current Population Survey, a national probability sample of 54,000 interviewed households, a time series on teenage illegitimacy for first births is constructed that permits an evaluation of similar Vital Statistics data on teenage illegitimacy since the 1940s. Although there are some indications of a slight underreporting of white illegitimate first births by Vital Statistics during the 1940s and early 1950s, the overall comparison produces a general consensus between the two data sources on the incidence of illegitimacy among both white and nonwhite teenagers for the period 1940–44 to 1970–74.     

Marketing and Quality of Life: A Model for Improving Perinatal Health Status

Introduction: A marketing/business model using non-traditional Quality of Life measures was developed to assess perinatal health status on a micro-geographic level. This perinatal health status needs assessment study for Georgia South Central Region was conducted for the years 1994–1999. The model may be applied to any geographic unit in the U.S. – from a block group level to a state or a region. Methodology: An Infant Health Risk Score was created for each county and census tract by calculating the Z-scores of various Medical, Lifestyle, and Access variables so as to construct a Quality of Life Index. The scores identified the areas in the region that were at high risk for certain medical, lifestyle, and access variables (i.e., high risk for preterm births, low education levels, and poor access to perinatal services). A marketing tool, Claritas PRIZM Clusters, was used to identify a specific cluster and associated marketing information for each census tract within the region. Results: The Infant Health Quality of Life Risk Scores were linked with the PRIZM cluster marketing data to target areas in the region that exhibit high risk medical, lifestyle, and access scores. Health promotion and disease prevention strategies were developed using a marketing/business model. Specifically, media usage and consumer behavior purchasing patterns were identified and processed for every high risk area in the region. The categories for media usage were television, radio, and magazines and the categories for consumer behavior included restaurants, food items, and shopping locations. Discussion: The Perinatal Region is developing strategies to implement the media usage and consumer behavior marketing information to focus their prevention efforts to the high risk areas in the region based on the Quality of Life Measurements. Linking marketing business tools with a Quality of Life health status needs assessment has significant potential for improving the planning, the evaluation, and the focus of prevention efforts.     

Pregnant adolescent women’s perceptions of depression and psychiatric services in the United States

Problem

Adolescent mothers and their children are at high-risk for depression and the associated negative educational, social, health, and economic outcomes.

Well-being and ill-being: Different dimensions?

This paper presents evidence for regarding well-being and ill-being as distinct, although not orthogonal dimensions. It is suggested that well-being and ill-being may be like measures of quantitative and verbal ability in intelligence tests. For some purposes (e.g. for admitting students to particular courses of study) it may be sensible to use only one of the measures. For other purposes a combined measure-I.Q.-is appropriate. In this study we employ Indices of Well-Being and Ill-Being and a combined measure, Balance of Well-Being and Ill-Being. Using data from the first wave (1981) of an Australian panel study (N=942), four measures of well-being and three measures of ill-being were factor analysed, confirming the existence of distinct dimensions. The value of the distinctions was underlined by findings indicating that well-being and ill-being have different correlates and causes. Wellbeing depends more than ill-being on the personality traits of extraversion and optimism, and also on the existence of supportive social networks. Ill-being is more strongly related to SES, poor health and low scoring on the trait “personal competence”,. Overall, however, it was found that more variance can be accounted for in the Balance of Well-Being and Ill-Being Index than in the separate indices of Well-Being and Ill-Being.