Examining Depression,Anxiety, and Foster Care Placement as Predictors of Substance Use and Sexual Activity in Adolescents

ABSTRACT

This study investigated the impact of anxiety and depression on sexual activity and substance use behaviors in a sample of 56 community- (traditional living arrangements) and foster care-dwelling adolescents aged 12 to 17 years. It was hypothesized that higher levels of anxiety and depression would be related to higher rates of risky sexual activity and substance use. Regression analyses were used to examine impact of the internalizing predictors on the risky behaviors. Results of the sample were presented with group membership emerging as a robust predictor of both sexual activity and substance use. Results suggest that adolescents within out-of-home care are at increased risk for engaging in these behaviors when compared with community-dwelling peers, and they may benefit from specific interventions aimed at decreasing participation. Future research may focus on assessing the effectiveness of interventions for these youth.     

The conceptualization and measurement of quality of life: implications for program planning and evaluation in the field of intellectual disabilities

The concept of quality of life (QOL) is increasingly being used in the field of intellectual disabilities as a conceptual and measurement framework for program planning and evaluation. This article describes the development of a QOL conceptual and measurement framework, and summarizes how this framework is currently being used both nationally and internationally to assess and report personal QOL-related outcomes, to guide quality improvement strategies, and to evaluate the effectiveness of those strategies. Implications of such use are discussed, including those related to understanding mental models, developing internal data systems, supporting organization change, and building on current public policies. The article concludes with reference to the evolving nature of the QOL concept and the impact of this on model development and transdisciplinary research.     

A test of explanations for the effect of harsh parenting on the perpetration of dating violence and sexual coercion among college males

This study uses structural equation modeling (SEM) with a sample of 760 college males to test various hypotheses regarding the avenues whereby harsh corporal punishment and a troubled relationship with parents increase the risk that a boy will grow up to engage in sexual coercion and dating violence. We found that three variables--a general antisocial orientation, sexually permissive attitudes, and believing that violence is a legitimate component of romantic relationships--mediated most of the association between negative parenting and our two outcomes. In addition to this indirect influence, we found that harsh corporal punishment had a direct effect upon dating violence. The findings are discussed with regard to various theoretical perspectives regarding the manner in which family of origin experiences increase the chances that a young man will direct violence toward a romantic partner.     

The best-laid schemes: An analysis of discrepancies between migration intentions and behavior

A longitudinal survey approach is used in a largely rural area in the Philippines to examine consistency between migration intentions and subsequent migration behavior. Inconsistencies in movement behavior, the timing of a move, and the destination are analyzed. Discrepancies between intentions and behavior are explained in terms of unanticipated constraints and facilitators as well as changes in the conditions that precipitated the migration intention in the first place. Intended international movers who did not actually move in a 2-1/2 year period were thwarted mainly by legal hurdles that could not be overcome. Intended internal migrants who did not actually move remained in their origin area primarily because of changes in job opportunities or family relationships. Methodological and theoretical implications of the findings are discussed.The best laid schemes o' Mice an' Men Gang aft agley, An' la'e us nought but grief an' pain, For promis'd joy! we must bear in mind the distinction between direct and facilitating factors involved in migration processes . migration analysis should consider some factors that facilitate or impede migration rather than determine migration directly (Goldscheider, 1971:38).This article was originally presented at the annual meetings of the Population Association of American in Minneapolis, Minnesota, May 2–5, 1984. The authors wish to thank Lynna Sycip for her assistance in the preparation of the tabulations for this article. In addition to the authors, the co-investigators for this project are James T. Fawcett, East-West Population Institute and Ricardo G. Abad, Institute of Philippine Culture, Ateneo de Manila University. Research for this article has been supported by NIH Grant No. R01-HD13115, the Population Center Foundation, Manila, Philippines, and the East-West Population Institute.     

Southern Negro Migration: Social And Economic Components Of An Ecological Model

This paper considers social and economic correlates of age-specific 1950-1960 net migration of Negro males from a sample of 150 southern counties. A model is developed with five components: (1) economic activity and urbanization, (2) white traditionalism, (3) demographic and ecological pressure, (4) nonwhite poverty, and (5) nonwhite home ownership. The dominant migration forces, as evidenced by correlations with component indicator variables, are the "pull" factor of change in nonprimary industrial employment, the "push" factor of population pressure in the nonwhite rural-farm sector, and the "push" of white traditionalism. However, the significance of model components varied when analyzed along age and industrial development continua. In the younger age groupings, industrial employment growth, population pressure, and white traditionalism were dominant migratory forces while in the older age groupings, industrial employment growth and non-home ownership were most significant. For Negro males in agricultural counties, the major migration propellents appeared to be the "push" of population pressure in the rural farm sector and non-ownership of homes. On the other hand the statistical explanation for Negro migration in more industrialized southern counties rests primarily with the "pull" of increased employment in non-primary industries along with population pressure. The importance of the findings for migration theory is discussed.     

Assessing Antecedents of Socially Responsible Supplier Selection in Three Global Supply Chain Contexts

A number of highly publicized, controversial lapses in social responsibility within global supply chains have forced managers and scholars to reexamine long‐held perspectives on supplier selection. Extending Carter and Jennings’ department‐level study of purchasing social responsibility, our research assesses the role of supply managers’ ethical intentions and three key antecedents that drive socially responsible supplier selection. Comparing evidence from firms operating in China, the United States, and the United Arab Emirates, we identify three key drivers of supply managers’ ethical intentions and examine both their direct and indirect impacts on socially responsible supplier selection. We find differential support for the predictor relationships on supply manager ethical intentions across national contexts and mediated versus nonmediated models. These observations bear important implications for firms conducting global supply management.     

Liquid Chromatography Mass Spectrometry-Based Proteomics: Biological and Technological Aspects

Mass spectrometry-based proteomics has become the tool of choice for identifying and quantifying the proteome of an organism. Though recent years have seen a tremendous improvement in instrument performance and the computational tools used, significant challenges remain, and there are many opportunities for statisticians to make important contributions. In the most widely used "bottom-up" approach to proteomics, complex mixtures of proteins are first subjected to enzymatic cleavage, the resulting peptide products are separated based on chemical or physical properties and analyzed using a mass spectrometer. The two fundamental challenges in the analysis of bottom-up MS-based proteomics are: (1) Identifying the proteins that are present in a sample, and (2) Quantifying the abundance levels of the identified proteins. Both of these challenges require knowledge of the biological and technological context that gives rise to observed data, as well as the application of sound statistical principles for estimation and inference. We present an overview of bottom-up proteomics and outline the key statistical issues that arise in protein identification and quantification.     

THE POWER AND SIZE OF NONPARAMETRIC TESTS FOR COMMON DISTRIBUTIONAL CHARACTERISTICS

This paper considers the power and size properties of some well known nonparametric linear rank tests for location and scale as well as the Kolmogorov-Smirnov omnibus test and proposed alternatives to it. Independence between some classes of linear rank tests is established facilitating their joint application. Monte Carlo study confirms the asymptotic power properties of the linear rank tests but raises concerns about their application in more general and practically relevant circumstances. It also indicates that the new omnibus tests constitute viable alternatives with superior properties to the Kolmogorov-Smirnov test in certain circumstances.     

Ultraviolet radiation in urban ecosystems with consideration of effects on human health

Excess exposure to ultraviolet radiation (UV) from the sun, particularly the ultraviolet B (UVB), is cited as a cause or contributing factor for deleterious effects on human health, including skin cancers and cataracts. Rates of skin cancer have increased greatly in recent years, and increased UVB caused by reductions in stratospheric ozone may be responsible for some of the increase in rates, though quantified estimates of the effect of the UVB changes on health have low certainty. UVB exposure also affects the function of the immune system, and the potential resulting effects on infectious diseases and immunizations are a concern. Epidemiological considerations suggest that peoples' routine exposure to UV in urban areas can be significant in adverse health effects, particularly for young children. Projected trends of ozone indicate that agreements to limit ozone-depleting substances are slowing the UVB increase, but high levels will continue and apparently impact health to the middle of the current century. Urban trees greatly reduce ultraviolet irradiance in their shade when they obscure both the sun and sky. Where trees or other structures obscure only the sun, leaving much of the sky in view, UVB irradiance will be greater than suggested by the visible shade. Since air pollutants influence the UVB above the canopy, and the overlying atmosphere is usually more polluted in urban than rural areas, additional above-canopy monitoring of UV in urban areas is needed for comparison to existing rural monitoring sites. Such monitoring would facilitate the development of computer models of urban effects on UV, which are needed for epidemiological investigations, public education, and urban planning.