Disability and going green: a comparison of the environmental values and behaviours of persons with and without disability

Some studies have suggested that socially excluded groups exhibit different environmental values and behaviours from mainstream society. To consider this in the context of disability, a survey was implemented to investigate environmental values and ecological behaviour. A high percentage of participants considered themselves to have a disability, long‐standing illness or infirmity. Over half of the sample had restricted physical mobility. The study used the revised New Ecological Paradigm Scale, a widely used measure of pro‐environmental orientation, and the General Ecological Behaviour scale to assess ecological behaviours. No significant differences were found between respondents with/without disability for either their general environmental attitudes or their general ecological behaviour. However, a positive correlation was found between level of physical mobility and general ecological behaviour. The results also show significant differences in the ecological behaviours of those respondents living dependently and those living independently; respondents living in care scored lower on the ecological behaviour scale.     

The model of human occupation and prediction of return to work: a review of related empirical research

The purpose of this paper is to investigate through a review of research literature whether empirical support exists to support the theoretical arguments of the Model of Human Occupation. A literature review of 44 predictive studies of factors influencing return-to-work published over the last 25 years was conducted. The factors most commonly found to be associated with return to work or with long-term disability were then organized according to the subsystems of the Model of Human Occupation.     

Resources and strategies of interest groups and industry representatives involved in federal forest policy

This study analyzes the resources and strategies of public interest groups and industry representatives involved in federal forest policy in the state of Oregon during the early 1990s. While many studies have examined the role of interest groups in the policy process, few have compared empirically the resources available and strategies pursued by industry representatives and public interest groups in a particular policy domain. Utilizing survey data from 133 business representatives and 326 public interest groups involved in federal forest policy, the study argues that public interest group influence derives primarily from the ability to mobilize human resources; the financial resources of these groups tend to be modest. Industry and industry-supported groups, in contrast, possess considerable financial power while enjoying less support from the public. Consequently, industry interests tend to focus their efforts on more traditional forms of influence such as the persistent lobbying of natural resource agencies and elected officials. Public interest groups, in contrast, tend to devote considerable efforts to building public support in urban core areas to build the capacity to pressure governmental decision-makers.     

Family influences on adolescent sexual and contraceptive behavior

Studies of adolescent pregnancy risk are relevant to understanding responsible adolescent sexual behavior because most investigators have focused on the key proximal determinants of pregnancy--sexual intercourse and contraceptive use--rather than analyzing pregnancy status per se. Lesser pregnancy risk is associated with teens remaining sexually abstinent, postponing onset of intercourse, and having intercourse less often or with fewer partners, as well as by using contraception at first or most recent intercourse and by using contraception consistently over time. Living with a single parent, in a lower SES family, having older sexually active siblings or pregnant/parenting teenage sisters, being a victim of sexual abuse, and residing in disorganized/dangerous neighborhoods all place teens at elevated risk of adolescent pregnancy. Parent-child closeness or connectedness, and parental supervision or regulation of children, in combination with parents values against teen intercourse (or unprotected intercourse), decrease the risk of adolescent pregnancy. Studies about parent-child sexual communication and adolescent pregnancy risk are less conclusive, largely because of methodological complexities.     

Contemporary Conceptions of Environmental Risk: Implications for Resource Management and Policy

Recent theoretical development in environmental sociology has focused on the concept of risk. Macro- and middle-range theoretical conceptualizations relevant to understanding environmental risk and resource depletion have emerged from Europe and the United States. We review five theoretical approaches to the environment–society relationship and identify convergent characteristics relevant for resource management in the modern world. These characteristics suggest goals for resource management should include expanded discursive systems, a more informed public and building institutional trust.     

A tutorial on rank-based coefficient estimation for censored data in small- and large-scale problems

The analysis of survival endpoints subject to right-censoring is an important research area in statistics, particularly among econometricians and biostatisticians. The two most popular semiparametric models are the proportional hazards model and the accelerated failure time (AFT) model. Rank-based estimation in the AFT model is computationally challenging due to optimization of a non-smooth loss function. Previous work has shown that rank-based estimators may be written as solutions to linear programming (LP) problems. However, the size of the LP problem is O(n ²+p) subject to n ² linear constraints, where n denotes sample size and p denotes the dimension of parameters. As n and/or p increases, the feasibility of such solution in practice becomes questionable. Among data mining and statistical learning enthusiasts, there is interest in extending ordinary regression coefficient estimators for low-dimensions into high-dimensional data mining tools through regularization. Applying this recipe to rank-based coefficient estimators leads to formidable optimization problems which may be avoided through smooth approximations to non-smooth functions. We review smooth approximations and quasi-Newton methods for rank-based estimation in AFT models. The computational cost of our method is substantially smaller than the corresponding LP problem and can be applied to small- or large-scale problems similarly. The algorithm described here allows one to couple rank-based estimation for censored data with virtually any regularization and is exemplified through four case studies.     

Exposure Assessment: Then, Now, and Quantum Leaps in the Future

Health risk assessments have become so widely accepted in the United States that their conclusions are a major factor in many environmental decisions. Although the risk assessment paradigm is 10 years old, the basic risk assessment process has been used by certain regulatory agencies for nearly 40 years. Each of the four components of the paradigm has undergone significant refinements, particularly during the last 5 years. A recent step in the development of the exposure assessment component can be found in the 1992 EPA Guidelines for Exposure Assessment. Rather than assuming worst-case or hypothetical maximum exposures, these guidelines are designed to lead to an accurate characterization, making use of a number of scientific advances. Many exposure parameters have become better defined, and more sensitive techniques now exist for measuring concentrations of contaminants in the environnment. Statistical procedures for characterizing variability, using Monte Carlo or similar approaches, eliminate the need to select point estimates for all individual exposure parameters. These probabilistic models can more accurately characterize the full range of exposures that may potentially be encountered by a given population at a particular site, reducing the need to select highly conservative values to account for this form of uncertainty in the exposure estimate. Lastly, our awareness of the uncertainties in the exposure assessment as well as our knowledge as to how best to characterize them will almost certainly provide evaluations that will be more credible and, therein, more useful to risk managers. If these refinements are incorporated into future exposure assessments, it is likely that our resources will be devoted to problems that, when resolved, will yield the largest improvement in public health.     

Testing a theoretical model of adolescent sexual behavior among rural families in poverty

This was a study of 357 adolescents, aged 13 to 17 years, who resided in a family receiving AFDC in 10 rural counties in Arkansas. The study had a twofold purpose: 1) to examine what elements of social control, social learning, and strain theories predicted 3 measures of sexual behavior; and 2) to test an integrated theoretical model with 2-stage least squares regression to see if it fit the data on the 3 measures of sex. The measures of sexual behavior were frequency of sexual intercourse in the past year, number of sexual partners in the past year, and number of sexual partners in lifetime. Bivariate analyses revealed that the consistent predictors of the 3 measures of sex were age, gender, attachment to mother, beliefs, parental supervision and punishment, family and friend support, frustration, and use of rationalizations. The theoretical model that fit all measures of sex showed that bonding influences sexual behavior through frustration, and that age, gender and rationalizations directly impact behavior.