Does binge eating disorder impact weight-related quality of life?

OBJECTIVES: To determine whether binge eating disorder (BED) impacts weight-related quality of life in obese individuals seeking weight loss treatment and to investigate the role of psychological symptoms, BMI, and demographic variables in the relationship between BED and weight-related quality of life. RESEARCH METHODS AND PROCEDURES: Three hundred seventeen women (BMI = 37.6) and 213 men (BMI = 41.3) completed questionnaires on admission into an intensive residential lifestyle modification program. Weight-related quality of life was assessed using the Impact of Weight on Quality of Life-Lite (IWQOL-Lite). The presence of BED was determined using the Questionnaire on Eating and Weight Patterns-Revised. Psychological symptoms were assessed using the Beck Depression Inventory and the global severity index of the Symptom Checklist 90-R. RESULTS: BED prevalence in this sample was 17.9%. Participants with BED, in comparison with those without BED, were more likely to be women (75.8% vs. 56.3%, p < 0.001), younger (45.0 vs. 49.7 years, p = 0.003), white (98.9% vs. 91.7%), heavier (BMI = 42.0 vs. 38.5, p = 0.002), psychologically distressed, and more impaired on total IWQOL-Lite (51.5 vs. 65.3, p < 0.001) and all IWQOL-Lite subscales. However, after controlling for demographic variables, BMI, and psychological symptoms, BED was not independently associated with weight-related quality of life. DISCUSSION: The association between BED and impairment in quality of life that has been previously reported in the literature may largely be accounted for by differences between those with and without BED on demographic variables, BMI, and psychological symptoms. BED does not seem to independently impact weight-related quality of life.     

Lack of recent condom use among detained adolescent males: a multilevel investigation

OBJECTIVE: To investigate multiple levels of influence with respect to the lack of recent condom use among a high risk sample of adolescent males recruited from short term detention facilities. METHODS: A cross sectional survey of 231 adolescent males serving, predominantly, short term detention sentences. Assessments were conducted using audiocomputer assisted self interviewing. Condom use during the most recent sexual event was assessed as well as 20 potential correlates of not using condoms. Correlates were assessed within five levels of causation: personal, relational, peer affiliation, family, and societal. RESULTS: Nine correlates achieved bivariate significance (p<0.05). Of these, the personal level correlates were particularly important in a multivariate model. The motivation subscale from the Condom Barriers Scale was the strongest multivariate correlate of recent condom use. Adolescents scoring below the median were about 3.4 times more likely to report lack of recent condom use (p=0.0006). Adolescents indicating they had ever caused a pregnancy were about 2.5 times more likely to report lack of condom use (p=0.02). Finally, those reporting their peers did not use condoms were about twice as likely to report lack of use (p=0.048). CONCLUSION: Upon investigating multiple levels of potential influence on condom use, the multivariate findings suggest that personal level factors may be the most important determinant of non-use among adolescent males in short term detention facilities. Although structural changes may be needed to influence some forms of safer sex behaviour, direct intervention with adolescent males may be justified to favourably alter determinants of condom use.     

PKC-interacting proteins: from function to pharmacology

Protein kinase C (PKC) is a ubiquitously expressed family of kinases that have key roles in regulating multiple cellular activities. The activity of this family is controlled tightly by several molecular mechanisms, including interaction with binding-partner proteins. These PKC-interacting proteins (C-KIPs) confer specificity for individual PKC isoforms by regulating the activity and cellular localization of PKC isoforms and, subsequently, the ability of these isoforms to specifically regulate cellular functional events. Although many C-KIPs have been identified by genome and proteome-mining approaches, it is important to address the specificity and function of the interactions in greater detail because they might form novel drug targets. In this article, we review recent work on C-KIPs and the implications for pharmacological and therapeutic development.     

Does pregnancy affect outcome of methadone maintenance treatment?

Studies of pregnant women receiving methadone maintenance have tended to focus on teratogenic, prenatal, and neonatal issues. We are not aware of any controlled studies comparing pregnant to non-pregnant heroin-addicted women in methadone treatment. This article presents findings from a study examining treatment outcome between pregnant and non-pregnant participants in a metropolitan methadone-maintenance program. Participants were 51 pregnant women and 51 non-pregnant women enrolled in a methadone maintenance program between 1994 and 2003. Groups were compared on demographic characteristics, psychiatric comorbidity, urinalysis results and retention rates. Groups were comparable in terms of most demographic characteristics and severity of addiction at intake. Groups did not differ significantly in terms of urinalysis results or retention rates. While most women reduced their drug use, a majority of both groups continued to use illicit drugs at least occasionally. Psychiatric comorbidity was significantly different with the non-pregnant group being more psychiatrically disordered. Clinical implications are discussed.     

Social determinants of tuberculosis case rates in the United States

BACKGROUND: Social capital has been related to a number of important public health variables such as overall mortality, health status, and sexually transmitted infections (including AIDS case rates). However, the relationship of social capital to tuberculosis has received little attention. Because social capital may be related to the constructs of poverty and income inequality, any exploration of the correlation between social capital and tuberculosis should include examination of the interrelationships with poverty and income inequality as well. OBJECTIVE: This study examined the state-level relationship between social capital, poverty, income inequality, and tuberculosis case rates. METHODS: The design was state-level, correlational analysis (including bivariate linear correlational analysis, and multivariate linear stepwise regression analysis). Main outcome measures were 1999 state-level case rates of tuberculosis. RESULTS: In bivariate analyses, poverty, income inequality, and social capital were all significantly correlated with tuberculosis case rates. In stepwise multiple regression analyses predicting tuberculosis case rates from this set of three predictor variables, social capital and income inequality entered the regression equation (with social capital being the strongest predictor variable). CONCLUSIONS: These results suggest that social capital is highly predictive of tuberculosis at the state level. The results indicate the need for further research into this potentially causal relationship, including the examination of structural interventions designed to increase social capital.     

Toxicogenomics, drug discovery, and the pathologist

The field of toxicogenomics, which currently focuses on the application of large-scale differential gene expression (DGE) data to toxicology, is starting to influence drug discovery and development in the pharmaceutical industry. Toxicological pathologists, who play key roles in the development of therapeutic agents, have much to contribute to DGE studies, especially in the experimental design and interpretation phases. The intelligent application of DGE to drug discovery can reveal the potential for both desired (therapeutic) and undesired (toxic) responses. The pathologist's understanding of anatomic, physiologic, biochemical, immune, and other underlying factors that drive mechanisms of tissue responses to noxious agents turns a bewildering array of gene expression data into focused research programs. The latter process is critical for the successful application of DGE to toxicology. Pattern recognition is a useful first step, but mechanistically based DGE interpretation is where the long-term future of these new technologies lies. Pathologists trained to carry out such interpretations will become important members of the research teams needed to successfully apply these technologies to drug discovery and safety assessment. As a pathologist using DGE, you will need to learn to read DGE data in the same way you learned to read glass slides, patiently and with a desire to learn and, later, to teach. In return, you will gain a greater depth of understanding of cell and tissue function, both in health and disease.