Detection and prevalence of abuse of older males: perspectives from family practice

Family doctors' frequent contact with seniors put them in reasonable positions to detect elder abuse and initiate referral to adult protective services. Since doctor reporting is low, however, this paper explores whether the gender of patient and/or doctor impacts on identification of elder mistreatment, or creates differential detection of one gender over the other. Use of the validated Elder Abuse Suspicion Index (EASI), and a structured social work evaluation, is described to provide some gender-based data from Canadian family practice. Specifically, while the prevalence of elder abuse is estimated to range from 12.0% to 13.3%, the specific prevalence was found for females to be 13.6% to 15.2% and for males 9.1% to 9.7%.     

A review of social host policies focused on underage drinking parties: suggestions for future research

Underage drinking continues to be a public health concern, partially due to the ease in which adolescents obtain alcohol and consume it in private locations. States and municipalities have implemented strategies to counteract this, including adopting public policies called social host policies, despite limited evidence of effectiveness. Traditionally, these laws have held adults accountable for furnishing alcohol to underage drinkers. However, states and communities are using another policy, also called social host, to deter underage drinking parties where easy access to alcohol and high-risk use occurs. These innovative laws hold individuals who control the property accountable for underage drinking that occurs there, regardless of alcohol source. We conducted a critical analysis of social host policies focused on hosting underage drinking parties and constructed a conceptual model to understand their targeted factors. Future research recommendations are discussed.     

Polarization and the decline of the middle class: Canada and the U.S.

Several recent studies have suggested that the distribution of income (earnings, jobs) is becoming more polarized. Much of the evidence presented in support of this view consists of demonstrating that the population share in an arbitrarily chosen middle income class has fallen. However, such evidence can be criticized as being range-specific—depending on the particular cutoffs selected. In this paper we propose a range-free approach to measuring the middle class and polarization, based on partial orderings. The approach yields two polarization curves which, like the Lorenz curve in inequality analysis, signal unambiguous increases in polarization. It also leads to an intuitive new index of polarization that is shown to be closely related to the Gini coefficient. We apply the new methodology to income and earnings data from the U.S. and Canada, and find that polarization is on the rise in the U.S. but is stable or declining in Canada. A cross-country comparison reveals the U.S. to be unambiguously more polarized than Canada.     

A formal test for the stationarity of the incidence rate using data from a prevalent cohort study with follow-up

In a prevalent cohort study with follow-up, the incidence process is not directly observed since only the onset times of prevalent cases can be ascertained. Assessing the “stationarity” of the underlying incidence process can be important for at least three reasons, including an improvement in efficiency when estimating the survivor function. We propose, for the first time, a formal test for stationarity using data from a prevalent cohort study with follow-up. The test makes use of a characterization of stationarity, an extension of this characterization developed in this paper, and of a test for matched pairs of right censored data. We report the results from a power study assuming varying degrees of departure from the null hypothesis of stationarity. The test is also applied to data obtained as part of the Canadian Study of Health and Aging (CSHA) to verify whether the incidence rate of dementia amongst the elderly in Canada has remained constant.     

Covariates in multipath change‐point problems: Modelling and consistency of the MLE

Although the single‐path change‐point problem has been extensively treated in the statistical literature, its multipath counterpart has largely been ignored. In the multipath change‐point setting, it is often of interest to assess the impact of covariates on the change point itself as well as on the parameters before and after the change point. This paper is concerned only with the inclusion of covariates in the change‐point distribution. This is achieved through the hazard of change. Maximum likelihood estimation is discussed and consistency of the maximum likelihood estimators established.     

Equally unequal: gender discrimination in the workplace among adults with mental retardation

Gender discrimination in the work place has been widely reported. Women are usually discriminated against both with respect to level of occupation and salary. The current study explored the correlation between gender and employment among adults with mental retardation, specifically, whether gender discrimination in the work place is as prominent among people with mental retardation as in the general population. Level of occupation and salary earned were studied in 227 adults with mild and moderate mental retardation residing in institutions, hostels, and sheltered homes in Israel. The findings suggest a correlation between gender and employment similar to that in the general population. Women were found to be employed mainly in sheltered workshops and lower levels of occupation, and to earn significantly less than the men. However, closer examination of each work place revealed that within each level of occupation there were no significant gender differences in salary. The finding suggests that while women with mental retardation earn lower salaries than men, this is mainly the result of their lower level of occupation. Rehabilitation efforts should therefore be directed toward ensuring higher levels of occupation as well as community employment among women with mental retardation.     

Anchoring in lie detection revisited

Previous research has shown that the human lie detector tends to interpret messages as truthful rather than as deceptive (the truthfulness bias) and to infer attitudes congruent with the content of the (sometimes deceptive) messages (over-attribution). It was hypothesized that these effects are moderated by the extent to which receivers are anchored to the verbal content of the message; that is, receivers might form an early impression of the content and fail to adjust this impression sufficiently even if the message appears false. In the present study, receivers either judged the truthfulness of the message first and the sender's attitude second, or judged the sender's attitude first and truthfulness second, or judged only the sender's attitude. We proposed that having to judge truthfulness first would interfere with the role of the verbal content as an anchor for the receiver's impression. Consistent with this rationale, the results showed that both truthfulness bias and overattribution diminished when receivers judged truthfulness first compared to when receivers judged attitudes first or judged only attitudes.     

FIXED VERSUS RANDOM SAMPLING OF CERTAIN CONTINUOUS PARAMETER PROCESSES

Let {Z(t)} be a stochastic point process. When {Z(t)} is Poisson and it is desired to estimate the intensity A, it is shown that the optimal (in terms of Fisher information) discrete sampling scheme is to sample {Z(t)} at predetermined fixed time points. On the other hand, when {Z(t)} is a pure birth process and a maximum likelihood estimator of the birth rate is desired, it is sometimes better to sample at random time points, according to a renewal process. An application of these ideas is given in the estimation of bacterial density in a liquid, by the method of dilutions.