Weight perceptions and perceived risk for diabetes and heart disease among overweight and obese women, Suffolk County, New York, 2008

INTRODUCTION: Many Americans fail to accurately identify themselves as overweight and underestimate their risk for obesity-related diseases. The purpose of this study was to investigate associations between weight perceptions and perceived risk for diabetes and heart disease among overweight or obese women. METHODS: We examined survey responses from 397 overweight or obese female health center patients on disease risk perceptions and weight perceptions. We derived odds ratios (ORs) and 95% confidence intervals (CIs) from multivariable logistic regression analyses to examine predictors of perceived risk for diabetes and heart disease. We further stratified results by health literacy. RESULTS: Perceiving oneself as overweight (OR, 2.78; 95% CI, 1.16-6.66), believing that being overweight is a personal health problem (OR, 2.46; 95% CI, 1.26-4.80), and family history of diabetes (OR, 3.22; 95% CI, 1.53-6.78) were associated with greater perceived risk for diabetes. Perceiving oneself as overweight (OR, 4.33; 95% CI, 1.26-14.86) and family history of heart disease (OR, 2.25; 95% CI, 1.08-4.69) were associated with greater perceived risk for heart disease. Among respondents with higher health literacy, believing that being overweight was a personal health problem was associated with greater perceived risk for diabetes (OR, 4.91; 95% CI, 1.68-14.35). Among respondents with lower health literacy, perceiving oneself as overweight was associated with greater perceived risk for heart disease (OR, 4.69; 95% CI, 1.02-21.62). CONCLUSION: Our findings indicate an association between accurate weight perceptions and perceived risk for diabetes and heart disease in overweight or obese women. This study adds to research on disease risk perceptions in at-risk populations

Programs to Strengthen Parent-Adolescent Communication About Reproductive Health: A Systematic Review

When caring for an adolescent client, providers of contraceptive services must consider whether and how to encourage parent/guardian-child communication about the adolescent's reproductive health. The objective of this systematic review was to summarize the evidence on the effectiveness of programs designed to increase parent-child communication about reproductive health. The review was used to inform national recommendations on quality family planning services. Data analysis occurred from mid-2011 through 2012. Several electronic bibliographic databases were used to identify relevant articles, including PubMed, CINAHL, PsycINFO, and Popline, published from January 1985 through February 2011. Sixteen articles met the inclusion criteria: all studies examined the impact on at least one medium- or short-term outcome, and two studies assessed the impact on teen pregnancy. One study examined the impact of a program conducted in a clinic setting; the remainder examined the impact of programs in community settings. All studies showed a positive impact on at least one short-term outcome, and 12 of 16 studies showed an increase in parent-child communication about reproductive health. Four of seven studies found an impact on sexual risk behavior. Most programs increased parent-child communication, and several resulted in reduced sexual risk behavior of adolescents. This suggests that delivering a clinic-based program that effectively helps parents/guardians talk to their adolescent child(ren) about reproductive health, or referring parents/guardians to an evidence-based program in the community, may be beneficial. However, further rigorous research on delivery of these programs in clinical settings is needed

Revealing the macromolecular targets of complex natural products

Natural products have long been a source of useful biological activity for the development of new drugs. Their macromolecular targets are, however, largely unknown, which hampers rational drug design and optimization. Here we present the development and experimental validation of a computational method for the discovery of such targets. The technique does not require three-dimensional target models and may be applied to structurally complex natural products. The algorithm dissects the natural products into fragments and infers potential pharmacological targets by comparing the fragments to synthetic reference drugs with known targets. We demonstrate that this approach results in confident predictions. In a prospective validation, we show that fragments of the potent antitumour agent archazolid A, a macrolide from the myxobacterium Archangium gephyra, contain relevant information regarding its polypharmacology. Biochemical and biophysical evaluation confirmed the predictions. The results obtained corroborate the practical applicability of the computational approach to natural product 'de-orphaning'