Explore the vast range of titles available.

Cascade genetic testing provides a method to appropriately focus colonoscopy use in families with Lynch syndrome (LS). However, research suggests that up to two-thirds at risk to inherit LS don’t participate. Within the United States, no studies have assessed colonoscopy use within this elusive and high-risk subset. We set forth to (1) document colonoscopy use within those not undergoing genetic testing (NGT) and (2) identify factors associated with completing colonoscopy. Data came from a cross sectional survey of families with molecularly confirmed LS. One hundred seventy-six (176) adults participated; 47 of unknown variant status and 129 with variant status known (59 carriers/70 non-carriers). Despite a high level of awareness of LS (85%) and identical recommendations for colonoscopy, NGT reported significantly lower use of colonoscopy than carriers (47% vs. 73%; p  = 0.003). Our results show that perceived risk to develop colon cancer (AOR = 1.99, p  < 0.05) and physician recommendations (AOR = 7.64, p  < 0.01) are significant predictors of colonoscopy use across all family members controlling for carrier status. Given these findings, health care providers, should assess patients’ perceived risk to develop cancer, assist them in adjusting risk perceptions and discuss recommendations for colonoscopy with all members in families with LS. Trial Registration Clinical Trials.gov Identifier: NCT00004210.

Background. Due to shared health behaviors and disease risk, families may be more effective targets for health promotion. This study assessed whether providing family health history (FHH)–based risk information for heart disease and diabetes affected encouragement to engage in physical activity (PA) and healthy weight (HW) maintenance and co-engagement in physical activity among 320 Mexican-origin parents and their 1,081 children. Method. At baseline and 10 months, parents indicated who they encouraged and who encouraged them to engage in PA/HW, and with whom they co-engaged in PA. Households were randomized to receive FHH-based assessments either by one or all adult household members. Primary analyses consisted of regression analyses using generalized estimating equations. Results. At baseline, parents reported encouraging their child for both PA and HW in 37.6% of parent–child dyads and reported receiving children’s encouragement for both in 12.1% of dyads. These increased to 56.8% and 17.5% at 10 months (p < .001). Co-engagement in PA increased from 11.4% to 15.7% (p < .001), with younger children (30.4%) and mother–daughter dyads (26.8%) most likely to co-engage at 10 months. Providing FHH-based risk information to all adult household members (vs. one) was associated with increased parent-to-child encouragement of PA/HW (p = .011) at 10 months but not child-to-parent encouragement. New encouragement from parent-to-child (p = .048) and from child-to-parent (p = .003) predicted new 10-month PA co-engagement. Discussion. Providing FHH information on a household level can promote parental encouragement for PA/HW, which can promote greater parent–child co-engagement in PA. In this high-risk population with a cultural emphasis on family ties, using FHH-based risk information for all adult household members may be a promising avenue to promote PA.

Background: This study investigated diabetes and heart disease family health history (FHH) knowledge and changes after providing personalized disease risk feedback. Methods: A total of 497 adults from 162 families of Mexican origin were randomized by household to conditions based on feedback recipient and content. Each provided personal and relatives' diabetes and heart disease diagnoses and received feedback materials following baseline assessment. Multivariate models were fitted to identify factors associated with the rate of ‘don't know' FHH responses. Results: At baseline, US nativity was associated with a higher ‘don't know' response rate (p = 0.002). Though confounded by country of birth, younger age showed a trend toward higher ‘don't know' response rates. Overall, average ‘don't know' response rates dropped from 20 to 15% following receipt of feedback (p < 0.001). An intervention effect was noted, as ‘don't know' response rates decreased more in households where one family member (vs. all) received supplementary risk assessments (without behavioral recommendations; p = 0.011). Conclusions: Limited FHH knowledge was noted among those born in the US and younger participants, representing a key population to reach with intervention efforts. The intervention effect suggests that ‘less is more', indicating the potential for too much information to limit health education program effectiveness.

Background Common diseases such as heart disease, diabetes, and cancer are etiologically complex with multiple risk factors (e.g., environment, genetic, lifestyle). These risk factors tend to cluster in families, making families an important social context for intervention and lifestyle-focused disease prevention. The Families Sharing Health Assessment and Risk Evaluation (SHARE) workbook was designed as an educational tool outlining family health history based risk of heart disease, type 2 diabetes, breast cancer, and colorectal cancer. The current paper describes the steps taken to develop and evaluate the workbook employing a user-centered design approach. Methods The workbook was developed in four steps, culminating in an evaluation focusing on understanding and usability of the tool. The evaluation was based on two Phases of data collected from a sample of mothers of young children in the Washington, D.C., area. A baseline assessment and follow-up approximately two weeks after receipt of the workbook were conducted, as well as focus groups with participants. The design of the workbook was refined in response to participant feedback from the first evaluation Phase and subsequently re-evaluated with a new sample. Results After incorporating user-based feedback and revising the workbook, Phase 2 evaluation results indicated that understanding of the workbook components improved for all sections (from 6.26 to 6.81 on a 7-point scale). In addition, 100 % of users were able to use the algorithm to assess their disease risk and over 60 % used the algorithm to assess family members’ disease risk. At follow-up, confidence to increase fruit, vegetable and fiber intake improved significantly, as well. Conclusions The Families SHARE workbook was developed and evaluated resulting in a family health history tool that is both understandable and usable by key stakeholders. This educational tool will be used in intervention studies assessing the effectiveness of family genomics health educators who use the Families SHARE workbook to disseminate family risk information and encourage risk reducing behaviors. Trial registration ClinicalTrials.gov, NCT01498276 . Registered 21 December 2011

Wives reported increased physical activity levels if their husbands received increased heart disease risk feedback and health behavior recommendations. Abstract Family health history is an accessible, clinically-recommended genomic tool that improves health risk evaluation. It captures both genetic and modifiable risk factors that cluster within families. Thus, families represent a salient context for family health history-based interventions that motivate engagement in risk-reducing behaviors. While previous research has explored how individuals respond to their personal risk information, we extend this inquiry to consider how individuals respond to their spouse’s risk information among a sample of Mexican-Americans. One hundred and sixty spouse-dyads within Mexican-heritage households received a pedigree or a pedigree and personalized risk assessments, with or without behavioral recommendations. Analyses of Covariance (ANCOVAs) were conducted to assess the relationship between risk feedback, both personal and spouse, and self-reported physical activity levels at 3-month and 10-month assessments, controlling for baseline levels. The effect of being identified as an encourager of spouse’s healthy weight was also evaluated. Personal feedback had no effect on participants’ physical activity at either 3- or 10-month assessments. However, husbands’ risk information was associated with wives’ physical activity levels at 3-month assessment, with women whose husbands received both increased risk feedback and behavioral recommendations engaging in significantly higher physical activity levels than all other women. At 10-month follow-up, physical activity levels for both husbands and wives differed depending on whether they encouraged their spouse’s healthy weight. Spousal risk information may be a stronger source of motivation to improve physical activity patterns than personal risk information, particularly for women. Interventions that activate interpersonal encouragement among spouses may more successfully extend intervention effects.

Due to shared health behaviors and disease risk, families may be more effective targets for health promotion. This study assessed whether providing family health history (FHH)-based risk information for heart disease and diabetes affected encouragement to engage in physical activity (PA) and healthy weight (HW) maintenance and co-engagement in physical activity among 320 Mexican-origin parents and their 1,081 children. At baseline and 10 months, parents indicated who they encouraged and who encouraged them to engage in PA/HW, and with whom they co-engaged in PA. Households were randomized to receive FHH-based assessments either by one or all adult household members. Primary analyses consisted of regression analyses using generalized estimating equations. At baseline, parents reported encouraging their child for both PA and HW in 37.6% of parent-child dyads and reported receiving children's encouragement for both in 12.1% of dyads. These increased to 56.8% and 17.5% at 10 months ( p < .001). Co-engagement in PA increased from 11.4% to 15.7% ( p < .001), with younger children (30.4%) and mother-daughter dyads (26.8%) most likely to co-engage at 10 months. Providing FHH-based risk information to all adult household members (vs. one) was associated with increased parent-to-child encouragement of PA/HW ( p = .011) at 10 months but not child-to-parent encouragement. New encouragement from parent-to-child ( p = .048) and from child-to-parent ( p = .003) predicted new 10-month PA co-engagement. Providing FHH information on a household level can promote parental encouragement for PA/HW, which can promote greater parent-child co-engagement in PA. In this high-risk population with a cultural emphasis on family ties, using FHH-based risk information for all adult household members may be a promising avenue to promote PA.

Ovarian cancer (OC) is the second most common gynecological malignancy and the fifth leading cause of death due to cancer in women in the United States mainly due to the late-stage diagnosis of this cancer. It is, therefore, critical to identify potential indicators to aid in early detection and diagnosis of this disease. We investigated the microbiome associated with OC and its potential role in detection, progression as well as prognosis of the disease. We identified a distinct OC microbiome with general enrichment of several microbial taxa, including Dialister , Corynebacterium , Prevotella , and Peptoniphilus in the OC cohort in all body sites excluding stool and omentum which were not sampled from the benign cohort. These taxa were, however, depleted in the advanced-stage and high-grade OC patients compared to early-stage and low-grade OC patients suggestive of decrease accumulation in advanced disease and could serve as potential indicators for early detection of OC. Similarly, we also observed the accumulation of these mainly pathogenic taxa in OC patients with adverse treatment outcomes compared to those without events and could also serve as potential indicators for predicting patients’ responses to treatment. These findings provide important insights into the potential use of the microbiome as indicators in (1) early detection of and screening for OC and (2) predicting patients’ response to treatment. Given the limited number of patients enrolled in the study, these results would need to be further investigated and confirmed in a larger study.

Repeated measures studies are frequently performed in patient-derived xenograft (PDX) models to evaluate drug activity or compare effectiveness of cancer treatment regimens. Linear mixed effects regression models were used to perform statistical modeling of tumor growth data. Biologically plausible structures for the covariation between repeated tumor burden measurements are explained. Graphical, tabular, and information criteria tools useful for choosing the mean model functional form and covariation structure are demonstrated in a Case Study of five PDX models comparing cancer treatments. Power calculations were performed via simulation. Linear mixed effects regression models applied to the natural log scale were shown to describe the observed data well. A straight growth function fit well for two PDX models. Three PDX models required quadratic or cubic polynomial (time squared or cubed) terms to describe delayed tumor regression or initial tumor growth followed by regression. Spatial(power), spatial(power) + RE, and RE covariance structures were found to be reasonable. Statistical power is shown as a function of sample size for different levels of variation. Linear mixed effects regression models provide a unified and flexible framework for analysis of PDX repeated measures data, use all available data, and allow estimation of tumor doubling time.

Portfolio management is confronting climate change more strongly and rapidly than expected. Risks arising from the transition from a brown, carbon-based to a green, low-carbon economy need to be integrated into portfolio and risk management. The authors show how to quantify these carbon risks by using a capital markets–based approach. Their measure of carbon risk, the carbon beta, can serve as an integral part of portfolio management practices in a more comprehensive way than fundamental carbon risk measures. Apart from other studies, the authors demonstrate that both green and brown stocks are risky per se, but there is no adequate remuneration in the financial market. In addition, carbon risk exposure is correlated with exposures to other common risk factors. This requires due diligence when integrating carbon risk in investment practices. By implementing carbon risk screening and best-in-class approaches, the authors find that investors can gain a desired level of carbon risk exposure, but this does not come without well-hidden costs. TOPICS: Portfolio construction, ESG investing, risk management Key Findings ▪ We describe a capital markets–based approach to measuring carbon risk that stems from the transition from a carbon-based to a low-carbon economy. ▪ Investors can integrate carbon risk into their portfolios using carbon beta but must be aware of the associated portfolio return, risk, and factor exposures. ▪ Different portfolio strategies can achieve a desired level of carbon risk exposure. However, the risk is not remunerated proportionally in the financial market.