“Some of My Children Are Worth More Than Others”: Perceptions of Nonresidential Fathers with Second Families as to the Fairness of the Australian Child Support Agency's Handling of First Family Child Support Financial Arrangements

One in three Australian marriages end in divorce, and over half of such divorces involve children. Research indicates that men tend to repartner within 1 to 2 years of a divorce and women within 3 to 5 years. A significant issue for repartnered men is the provision of financial support for children from both their first and second families. Although only 6% of all Australian first family children spend near/equal time (shared care) after divorce with both parents, fathers in Australia are mandated under child support legislation to provide financial support for their first family children, whether they reside with them or not. However, it is argued by this study's nonresidential fathers that the Child Support Agency, when considering the level of financial support for first family children, tends to overlook the needs of second family children, thus creating an advantaged and disadvantaged set of siblings. This finding is reviewed through a distributive justice theory lens. Finally, some future directions for research aimed at exploring the impact of Child Support Legislation on second families are suggested.     

Formerly Homeless,Older Women's Experiences with Health,Housing, and Aging

The perspectives of formerly homeless, older women are absent in the academic literature on aging and homelessness. In this study, a group of formerly homeless women, aged 45 years and older were surveyed (N = 15) and interviewed (n = 11) about their experiences with health, housing, and aging. The qualitative themes to be explored include the women's perceptions of their current health, coping with low incomes, dealing with addictions to alcohol and drugs, and the importance of supportive housing and other community services. The female participants' views on adapting to home, planning for their elderly years, and views on growing older are also explored.     

The case for mandatory outpatient treatment

Research on the effectiveness of mandatory outpatient treatment, which is court-ordered mental health follow up, supports its use with individuals who have serious mental illness. Many states already have some kind of mandatory outpatient treatment in place, but it is often underused. Much of the criticism of mandatory outpatient treatment is based on the fact that research demonstrating its efficacy is limited and that its implementation infringes on individuals' rights. However, sufficient evidence can be found in the literature to support its use for some individuals with chronic mental illness living in the community. In addition, the ethical principles of beneficence, utilitarianism, and communitarianism support its use in some situations. Mandatory outpatient treatment is an ethical and effective method shown to be helpful with individuals who have mental illness and are nonadherent to treatment. Expanding its use in appropriate situations is in the best interest of those with serious mental illness and society in general.     

A Canadian Population Level Analysis of the Roles of Irrational Gambling Cognitions and Risky Gambling Practices as Correlates of Gambling Intensity and Pathological Gambling

Using population data (N = 11,562) drawn from five Canadian gambling prevalence surveys conducted between 2000 and 2005, the current study investigated the relationship between irrational gambling cognitions and risky gambling practices upon (a) gambling intensity, as measured by percent of income spent on gambling and (b) tolerance, a diagnostic indicator of pathological gambling. First, we found irrational gambling cognitions and risky gambling practices to be positively related. Second, irrational gambling cognitions moderated the relationship between risky gambling practices and gambling intensity. Specifically, people engaging in risky practices, spent less of their income on gambling when they had fewer irrational gambling cognitions compared to those with more irrational cognitions. Third, irrational gambling cognitions moderated the relationship between risky gambling practices and tolerance. Of the people engaging in risky practices, those with no irrational cognitions reported lower levels of tolerance than those with at least one irrational cognition. Interactions with gender are reported and discussed. These findings demonstrate the importance of both gambling cognitions and gambling practices upon the intensity of gambling and pathological gambling.

Replication of Low-Risk Gambling Limits Using Canadian Provincial Gambling Prevalence Data

A set of low-risk gambling limits were recently produced using Canadian epidemiological data on the intensity of gambling behavior and related consequences (Currie et al. Addiction 101:570–580, 2006). The empirically derived limits (gambling no more than two to three times per month, spending no more than $501–$100°CAN per year or no more than 1% of gross income spent on gambling) accurately predicted risk of gambling-related harm after controlling for other risk factors. The present study sought to replicate these limits on data collected in three independently conducted Canadian provincial gambling surveys. Dose–response curves and logistic regression analyses were applied to gambling prevalence data collected in surveys conducted in 2001–2002 within the provinces of Alberta, British Columbia, and Ontario (combined sample N = 7,675). A comparable dose–response relationship between gambling intensity and risk of harm was found in each province. The optimal thresholds for defining an upper limit of low-risk gambling were similar across the three provinces despite variations in the availability and organization of legalized gambling opportunities within each region. These results provide additional evidence supporting the validity of the low-risk gambling limits. Quantitative limits could be used to augment existing responsible gambling guidelines.

Keeping Australia's Older Workers in the Labour Force. A Policy Perspective

As in other western industrialised countries the structural ageing of the Australian population has significant labour market implications. Government has responded with a range of policies to persuade older workers to abandon early retirement and/or remain in the workforce past traditional retirement ages. But whether this generation of workers will be prepared to change their retirement plans in response to policy encouragement, and whether current policy measures will translate into significant numbers of older workers extending their labour force participation is uncertain. Using the Australian Survey of Retirement Attitudes and Motivations (ASRAM) a recently completed, nationally representative survey of Australian workers aged 40 – 59 years we find that while the Government message about working longer is getting through, older workers are relatively unresponsive to current policy measures. Other policies, especially policies outside the financial realm, are needed to maximise the number of older Australians in the labour force.     

Recommended Distributions for Exposure Factors Frequently Used in Health Risk Assessment

Although there has been nearly complete agreement in the scientific community that Monte Carlo techniques represent a significant improvement in the exposure assessment process, virtually all state and federal risk assessments still rely on the traditional point estimate approach. One of the rate-determining steps to a timely implementation of Monte Carlo techniques to regulatory decision making is the development of "standard" data distributions that are considered applicable to any setting. For many exposure variables, there is no need to wait any longer to adopt Monte Carlo techniques into regulatory policy since there is a wealth of data from which a robust distribution can be developed and ample evidence to indicate that the variable is not significantly influenced by site-specific conditions. In this paper, we propose several distributions that can be considered standard and customary for most settings. Age-specific distributions for soil ingestion rates, inhalation rates, body weights, skin surface area, tapwater and fish consumption, residential occupancy and occupational tenure, and soil-on-skin adherence were developed. For each distribution offered in this paper, we discuss the adequacy of the database, derivation of the distribution, and applicability of the distribution to various settings and conditions.     

A comparative study of three methods of eliciting preference information

The study reported in this paper compared three methods of eliciting preference information from a decision maker and estimating weights with this information for use in a multiple objective decision making model. The design of the study included issues of implementing computerized interactive models vs more traditional question and answer techniques in the light of different decision models (in terms of level of complexity) and differing levels of decision maker experience. Results indicate that decision makers, regardless of prior exposure to computer terminals, are not intimidated by their use. Additionally, methods which required non-quantitative statements of preferences were preferred over techniques which requested numerical estimates of tradeoffs or marginal rates of substitution between objectives.     

A Meta-Analysis of Children's Hand-to-Mouth Frequency Data for Estimating Nondietary Ingestion Exposure

Because of their mouthing behaviors, children have a higher potential for exposure to available chemicals through the nondietary ingestion route; thus, frequency of hand-to-mouth activity is an important variable for exposure assessments. Such data are limited and difficult to collect. Few published studies report such information, and the studies that have been conducted used different data collection approaches (e.g., videography versus real-time observation), data analysis and reporting methods, ages of children, locations, and even definitions of "mouthing." For this article, hand-to-mouth frequency data were gathered from 9 available studies representing 429 subjects and more than 2,000 hours of behavior observation. A meta-analysis was conducted to study differences in hand-to-mouth frequency based on study, age group, gender, and location (indoor vs. outdoor), to fit variability and uncertainty distributions that can be used in probabilistic exposure assessments, and to identify any data gaps. Results of this analysis indicate that age and location are important for hand-to-mouth frequency, but study and gender are not. As age increases, both indoor and outdoor hand-to-mouth frequencies decrease. Hand-to-mouth behavior is significantly greater indoors than outdoors. For both indoor and outdoor hand-to-mouth frequencies, interpersonal, and intra-personal variability are approximately 60% and approximately 30%, respectively. The variance difference among different studies is much bigger than its mean, indicating that different studies with different methodologies have similar central values. Weibull distributions best fit the observed data for the different variables considered and are presented in this article by study, age group, and location. Average indoor hand-to-mouth behavior ranged from 6.7 to 28.0 contacts/hour, with the lowest value corresponding to the 6 to <11 year olds and the highest value corresponding to the 3 to <6 month olds. Average outdoor hand-to-mouth frequency ranged from 2.9 to 14.5 contacts/hour, with the lowest value corresponding to the 6 to <11 year olds and the highest value corresponding to the 6 to <12 month olds. The analysis highlights the need for additional hand-to-mouth data for the <3 months, 3 to <6 months, and 3 to <6 year age groups using standardized collection and analysis because of lack of data or high uncertainty in available data. This is the first publication to report Weibull distributions as the best fitting distribution for hand-to-mouth frequency; using the best fitting exposure factor distribution will help improve estimates of exposure. The analyses also represent a first comprehensive effort to fit hand-to-mouth frequency variability and uncertainty distributions by indoor/outdoor location and by age groups, using the new standard set of age groups recommended by the U.S. Environmental Protection Agency for assessing childhood exposures. Thus, the data presented in this article can be used to update the U.S. EPA's Child-Specific Exposure Factors Handbook and to improve estimates of nondietary ingestion in probabilistic exposure modeling.