Calorie Postings in Chain Restaurants in a Low-Income Urban Neighborhood: Measuring Practical Utility and Policy Compliance

Current strategies for combating obesity include recent federal legislation mandating calorie count postings in chain restaurants. This study describes the current practice of menu board calorie postings in a low-income urban neighborhood, identifies the extent to which current practice complies with existing policy, and evaluates the practical utility of menu boards to consumers. We conclude that although most postings were legally compliant, they did not demonstrate utility. Menu postings for individual servings are easily understood, but complex math skills are needed to interpret meals designed to serve more than one person. In some items, calories doubled depending on flavor and the calorie posting did not give enough information to make healthier selections. We identified specific strategies to improve practical utility and provide recommendations for policy implementation

Community engagement education in academic health centers, colleges, and universities

Community engagement (CE) is critical for advancing health equity and a key approach for promoting inclusive clinical and translational science. However, it requires a workforce trained to effectively design, implement, and evaluate health promotion and improvement strategies through meaningful collaboration with community members. This paper presents an approach for designing CE curricula for research, education, clinical care, and public health learners. A general pedagogical framework is presented to support curriculum development with the inclusion of community members as facilitators or faculty. The overall goal of the curriculum is envisioned as enabling learners to effectively demonstrate the principles of CE in working with community members on issues of concern to communities to promote health and well-being. We highlight transformations needed for the commonly used critical service-learn- ing model and the importance of faculty well-versed in CE. Courses may include didactics and practicums with well-defined objectives and evaluation components. Because of the importance of building and maintaining relationships in CE, a preparatory phase is recommended prior to experiential learning, which should be guided and designed to include debriefing and reflec- tive learning. Depending on the scope of the course, evaluation should include community perspectives on the experience

Evaluation of the cost and effectiveness of diverse recruitment methods for a genetic screening study

Purpose: Recruitment of participants from diverse backgrounds is crucial to the generalizability of genetic research, but has proven challenging. We retrospectively evaluated recruitment methods used for a study on return of genetic results. Methods: The costs of study design, development, and participant enrollment were calculated, and the characteristics of the participants enrolled through the seven recruitment methods were examined. Results: A total of 1118 participants provided consent, a blood sample, and questionnaire data. The estimated cost across recruitment methods ranged from $579 to$1666 per participant and required a large recruitment team. Recruitment methods using flyers and staff networks were the most cost-efficient and resulted in the highest completion rate. Targeted sampling that emphasized the importance of Latino/a participation, utilization of translated materials, and in-person recruitments contributed to enrolling a demographically diverse sample. Conclusions: Although all methods were deployed in the same hospital or neighborhood and shared the same staff, each recruitment method was different in terms of cost and characteristics of the enrolled participants, suggesting the importance of carefully choosing the recruitment methods based on the desired composition of the final study sample. This analysis provides information about the effectiveness and cost of different methods to recruit adults for genetic research

Common variants at 12p11, 12q24, 9p21, 9q31.2 and in ZNF365 are associated with breast cancer risk for BRCA1 and/or BRCA2 mutation carriers

Abstract Introduction Several common alleles have been shown to be associated with breast and/or ovarian cancer risk for BRCA1 and BRCA2 mutation carriers. Recent genome-wide association studies of breast cancer have identified eight additional breast cancer susceptibility loci: rs1011970 (9p21, CDKN2A/B), rs10995190 (ZNF365), rs704010 (ZMIZ1), rs2380205 (10p15), rs614367 (11q13), rs1292011 (12q24), rs10771399 (12p11 near PTHLH) and rs865686 (9q31.2). Methods To evaluate whether these single nucleotide polymorphisms (SNPs) are associated with breast cancer risk for BRCA1 and BRCA2 carriers, we genotyped these SNPs in 12,599 BRCA1 and 7,132 BRCA2 mutation carriers and analysed the associations with breast cancer risk within a retrospective likelihood framework. Results Only SNP rs10771399 near PTHLH was associated with breast cancer risk for BRCA1 mutation carriers (per-allele hazard ratio (HR) = 0.87, 95% CI: 0.81 to 0.94, P-trend = 3 × 10-4). The association was restricted to mutations proven or predicted to lead to absence of protein expression (HR = 0.82, 95% CI: 0.74 to 0.90, P-trend = 3.1 × 10-5, P-difference = 0.03). Four SNPs were associated with the risk of breast cancer for BRCA2 mutation carriers: rs10995190, P-trend = 0.015; rs1011970, P-trend = 0.048; rs865686, 2df-P = 0.007; rs1292011 2df-P = 0.03. rs10771399 (PTHLH) was predominantly associated with estrogen receptor (ER)-negative breast cancer for BRCA1 mutation carriers (HR = 0.81, 95% CI: 0.74 to 0.90, P-trend = 4 × 10-5) and there was marginal evidence of association with ER-negative breast cancer for BRCA2 mutation carriers (HR = 0.78, 95% CI: 0.62 to 1.00, P-trend = 0.049). Conclusions The present findings, in combination with previously identified modifiers of risk, will ultimately lead to more accurate risk prediction and an improved understanding of the disease etiology in BRCA1 and BRCA2 mutation carriers

Flip and See ECG

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Flip and see ECG

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Self-reported race and ethnicity of US biobank participants compared to the US Census

Precision medicine envisions a future of effective diagnosis, treatment, and prevention grounded in precise understandings of the genetic and environmental determinants of disease. Given that the original genome-wide association studies represented a predominately European White population, and that diversity in genomic studies must account for genetic variation both within and across racial categories, new research studies are at a heightened risk for inadequate representation. Currently biological samples are being made available for sequencing in biobanks across the USA, but the diversity of those samples is unknown. The aims of this study were to describe the types of recruitment and enrollment materials used by US biobanks and the diversity of the samples contained within their collection. Biobank websites and brochures were evaluated for reading level, health literacy, and factors known to encourage the recruitment of minorities, such as showing pictures of diverse populations. Biobank managers were surveyed by mail on the methods and materials used for enrollment, recruitment, consent, and the self-reported race/ethnicity of biobank participants. From 51 US biobanks (68% response rate), recruitment and enrollment materials were in English only, and most of the websites and brochures exceeded a fifth-grade reading level. When compared to the 2015 US Census, self-reported race/ethnicity of participants was not significantly different for Whites (61%) and blacks (13%). The percentages were significantly lower for Hispanics and Latinos (18 vs. 7%, p = 0.00) and Hawaiian/Pacific Islanders (0.2 vs. 0.01%; p = 0.01) and higher for Asians (13 vs. 5%, p = 0.01). Materials for recruitment predominantly in English may limit participation by underrepresented populations

Prepregnancy overweight and obesity are associated with impaired child neurodevelopment.

The authors examined the relationship of prepregnancy body mass index (BMI) and gestational weight gain (GWG) with child neurodevelopment. Mother-child dyads were a subgroup (n = 2,084) of the Child Health and Development Studies from the Oakland, California, area enrolled during pregnancy from 1959 to 1966 and followed at child age 9 years. Linear regression was used to examine associations between prepregnancy BMI, GWG, and standardized Peabody Picture Vocabulary Test and Raven Progressive Matrices scores and to evaluate effect modification of GWG by prepregnancy BMI. Before pregnancy, 77% of women were normal weight, 8% were underweight, 11% were overweight, and 3% were obese. Associations between GWG and child outcomes did not vary by prepregnancy BMI, suggesting no evidence for interaction. In multivariable models, compared to normal prepregnancy BMI, prepregnancy overweight and obesity were associated with lower Peabody scores (b: -1.29; 95% CI [-2.6, -0.04] and b: -2.7; 95% CI [-5.0, -0.32], respectively). GWG was not associated with child Peabody score [b: -0.03 (95% CI: -0.13, 0.07)]. Maternal BMI and GWG were not associated with child Raven score (all P >0.05). Maternal prepregnancy overweight and obesity were associated with lower scores for verbal recognition in mid-childhood. These results contribute to evidence linking maternal BMI with child neurodevelopment. Future research should examine the role of higher prepregnancy BMI values and the pattern of pregnancy weight gain in child cognitive outcomes

Prepregnancy overweight and obesity are associated with impaired child neurodevelopment.

The authors examined the relationship of prepregnancy body mass index (BMI) and gestational weight gain (GWG) with child neurodevelopment. Mother-child dyads were a subgroup (n = 2,084) of the Child Health and Development Studies from the Oakland, California, area enrolled during pregnancy from 1959 to 1966 and followed at child age 9 years. Linear regression was used to examine associations between prepregnancy BMI, GWG, and standardized Peabody Picture Vocabulary Test and Raven Progressive Matrices scores and to evaluate effect modification of GWG by prepregnancy BMI. Before pregnancy, 77% of women were normal weight, 8% were underweight, 11% were overweight, and 3% were obese. Associations between GWG and child outcomes did not vary by prepregnancy BMI, suggesting no evidence for interaction. In multivariable models, compared to normal prepregnancy BMI, prepregnancy overweight and obesity were associated with lower Peabody scores (b: -1.29; 95% CI [-2.6, -0.04] and b: -2.7; 95% CI [-5.0, -0.32], respectively). GWG was not associated with child Peabody score [b: -0.03 (95% CI: -0.13, 0.07)]. Maternal BMI and GWG were not associated with child Raven score (all P >0.05). Maternal prepregnancy overweight and obesity were associated with lower scores for verbal recognition in mid-childhood. These results contribute to evidence linking maternal BMI with child neurodevelopment. Future research should examine the role of higher prepregnancy BMI values and the pattern of pregnancy weight gain in child cognitive outcomes