Substance abuse, suicidality, and self-esteem in South African adolescents

Associations among six different domains of self-esteem (peers, school, family, sports/athletics, body image, and global self-worth) and risk behaviors related to substance use and suicidality were investigated in a sample of South African adolescents. Students enrolled in Grades 8 and 11 at independent secondary schools in Cape Town (N = 116) completed the Self-Esteem Questionnaire (SEQ) and a questionnaire that asked about their participation in a range of risk behaviors. Logistic regression analyses indicated that particular domains of self-esteem were differentially associated with indicators of alcohol, cigarette and drug use and suicidal ideation or behaviors in adolescents. Family self-esteem showed the strongest overall pattern of associations with the risk behaviors. Overall, the findings of this study suggest that interventions which aim to protect adolescents from engaging in risk behaviors by increasing their self-esteem are likely to be most effective and cost-efficient if they are aimed at the family and school domains.     

Cognitive-behavioral therapy for obsessive-compulsive disorder: review of treatment techniques

Obsessive-compulsive disorder (OCD) is a chronic, impairing condition with an estimated lifetime prevalence in adults of 2.5%. Controlled treatment trials have demonstrated that cognitive-behavioral therapy (CBT) is an effective intervention for OCD. However, many individuals diagnosed with OCD do not receive appropriate, empirically validated interventions, perhaps due to limited knowledge of CBT among mental health practitioners. This article provides a review of CBT for OCD. Issues related to treatment delivery and assessment are presented and highlighted by an individual example.     

The effect of 6 months training on leg power, balance, and functional mobility of independently living adults over 70 years old

Where strength training has been used in conjunction with functional-task training in older people, not only have there been improvements in leg strength but also improved function has been measured (e.g., Skelton & McLaughlin, 1996). Many studies use participants from care homes rather than community dwellers. We investigated changes in leg power, balance, and functional mobility in community-dwelling sedentary men and women over 70 years of age (n = 6 for training group [TR]; n = 10 for control group [CN]). Progressive training took place over 24 weeks using seated and nonseated exercise. For TR, leg power increased 40%, from 108 +/- 40 to 141 +/- 53 W (p < .01); dynamic balance increased 48%, from 22.3 +/- 7.9 to 33.1 +/- 6.1 cm (p < .01; functional reach); and functional mobility increased 12%, from 7.46 +/- 1.32 to 6.54 +/- 1.41 s (p < .05; timed walk). CN showed no significant change. In conclusion, a community-based exercise program led to large improvements in leg-extensor power, dynamic balance, and functional mobility.     

Inequality and welfare evaluation of heterogeneous income distributions

This paper establishes the principles that should govern the welfare and inequality analysis of heterogeneous income distributions. Two basic criteria – the equity preference condition and the compensation principle – are shown to be fundamentally incompatible. The paper favours the latter, thereby vindicating the traditional method of dealing with heterogeneous samples. However, inequality and welfare comparisons will usually be well defined only if equivalent incomes are obtained using constant scale factors; and researchers will need to distinguish clearly between inequality of nominal incomes and inequality of living standards. Furthermore, household observations must always be weighted according to family size.     

A weighted polynomial regression method for local fitting of spatial data

Typically, parametric approaches to spatial problems require restrictive assumptions. On the other hand, in a wide variety of practical situations nonparametric bivariate smoothing techniques has been shown to be successfully employable for estimating small or large scale regularity factors, or even the signal content of spatial data taken as a whole.We propose a weighted local polynomial regression smoother suitable for fitting of spatial data. To account for spatial variability, we both insert a spatial contiguity index in the standard formulation, and construct a spatial-adaptive bandwidth selection rule. Our bandwidth selector depends on the Gearys local indicator of spatial association. As illustrative example, we provide a brief Monte Carlo study case on equally spaced data, the performances of our smoother and the standard polynomial regression procedure are compared.This note, though it is the result of a close collaboration, was specifically elaborated as follows: paragraphs 1 and 2 by T. Sclocco and the remainder by M. Di Marzio. The authors are grateful to the referees for constructive comments and suggestions.     

Presidential Coattails in 1972

Because Richard Nixon's overwhelming victory in the 1972 presidentialelection was not accompanied by any significant increase inRepublican representation in Congress, it has been assumed thathis coattails were exceedingly short. However, analysis of severalkinds of evidence suggests that such an assumption is prematureand that Nixon's pulling power has been underestimated. An explanationof the failure of Republican gains to materialize as congressionalseats may be found in the competitive disadvantages sufferedby Republicans in a period of increasingly safe seats.     

Characteristics of effective providers of marital and family therapy in rural mental health settings

Characteristics of effective providers of marital and family therapy (MFT) in rural mental health settings were investigated. The survey sample included 74 members of the National Association for Rural Mental Health who, through a modified Delphi process, created a composite picture of effective MFT providers. The findings yielded six major rank-ordered characteristics of effective MFT providers in rural mental health settings, with effective skills in MFT ranked first. Rural community understanding, appreciation and participation ranked second. Specific competencies contributing to each major characteristic were also identified and are discussed. Recommendations for use of this information are provided.     

A theory of recovery

1. Mental illness generally involves a loss of self--the meaning and purpose that once defined life are gone. 2. People respond to loss of self by asking "why." 3. Whether or not people find answers to "why" questions, they need to move on to asking, "How do I proceed?" 4. Action based on answers to "how" questions provides new meaning and purpose.     

Civil Society Research Funding from a Global Perspective: A Case for Redressing Bias,Asymmetry, and Bifurcation

This paper adopts a global perspective to review the current situation with respect to the systematic study of civil society. It locates the analysis in a geohistorical framework, arguing that, as a distinct area of scholarship, contemporary civil society research is a two-track post-Cold War phenomenon exhibiting major shortcomings. A new type of dedicated research financing and process of allocation could redress today's research limitations in ways that will beneficially cross-fertilize parallel approaches and epistemological traditions while increasing the spread of centers dedicated to such knowledge generation. The analysis leads to suggestions for a civil society research agenda and investment principles.     

Missing at random (MAR) in nonparametric regression - A simulation experiment

The additive model is considered when some observations on x are missing at random but corresponding observations on y are available. Especially for this model, missing at random is an interesting case because the complete case analysis is expected to be no more suitable. A simulation experiment is reported and the different methods are compared based on their superiority with respect to the sample mean squared error. Some focus is also given on the sample variance and the estimated bias. In detail, the complete case analysis, a kind of stochastic mean imputation, a single imputation and the nearest neighbor imputation are discussed.