Cardiorespiratory Fitness, Alcohol Intake, and Metabolic Syndrome Incidence in Men

Purpose To prospectively examine the independent and joint effects of alcohol consumption and cardiorespiratory fitness on the incidence of metabolic syndrome in a cohort of men. Methods A prospective examination of 3,411 apparently healthy men at baseline, who came to the Cooper Clinic (Dallas, Texas) for at least 2 preventive visits (1979–2010). Primary exposure variables were cardiorespiratory fitness and alcohol intake; the outcome measure was metabolic syndrome (MetS) and the components thereof. Cox proportional hazard models were computed to assess the relationship between the exposure variables and the incidence of MetS while adjusting for confounders. Results Over a mean follow-up period of 9 years (SD=7.8), 276 men developed MetS. In multivariable analysis, a dose-response relationship was observed between increased levels of fitness and reduced MetS risk (moderate fitness: HR=0.60, 95%CI 0.43–0.82; high fitness: HR=0.49, 95%CI 0.35–0.69). When examining the independent effects of alcohol, light drinking increased the risk for MetS by 66% (HR=1.66, 95%CI 1.11–2.48). No statistically significant interaction effect was observed between alcohol and fitness in relation to MetS (P = 0.32). When assessing the relation between each exposure and the components of MetS, higher fitness consistently reduced the risk of all components; whereas lower alcohol intake reduced the risk of elevated glucose and blood pressure and increased the risk for low HDL-c. Conclusions Among this cohort of men, higher fitness levels reduced the risk for MetS and its components. The relation between alcohol intake levels and metabolic risk was more complex and not reflected when examining MetS as a whole

Finishing the euchromatic sequence of the human genome

The sequence of the human genome encodes the genetic instructions for human physiology, as well as rich information about human evolution. In 2001, the International Human Genome Sequencing Consortium reported a draft sequence of the euchromatic portion of the human genome. Since then, the international collaboration has worked to convert this draft into a genome sequence with high accuracy and nearly complete coverage. Here, we report the result of this finishing process. The current genome sequence (Build 35) contains 2.85 billion nucleotides interrupted by only 341 gaps. It covers ∼99% of the euchromatic genome and is accurate to an error rate of ∼1 event per 100,000 bases. Many of the remaining euchromatic gaps are associated with segmental duplications and will require focused work with new methods. The near-complete sequence, the first for a vertebrate, greatly improves the precision of biological analyses of the human genome including studies of gene number, birth and death. Notably, the human enome seems to encode only 20,000-25,000 protein-coding genes. The genome sequence reported here should serve as a firm foundation for biomedical research in the decades ahead

Computerized Self-Monitoring and Email Feedback for Weight Loss

Objective The purpose of this study was to develop and evaluate a 12-week weight management intervention involving computerized self-monitoring and technology-assisted feedback with and without an enhanced behavioral component. Methods 120 overweight (30.5 ± 2.6 kg/m2) adults (45.0 ± 10.3 years) were randomized to one of three groups: computerized self-monitoring with Basic feedback (n = 45), Enhanced behavioral feedback (n = 45), or wait-list control (n = 30). Intervention participants used a computer software program to record dietary and physical activity information. Weekly e-mail feedback was based on computer-generated reports, and participants attended monthly measurement visits. Results The Basic and Enhanced groups experienced significant weight reduction (−2.7 ± 3.3 kg and −2.5 ± 3.1 kg) in comparison to the Control group (0.3 ± 2.2; p \u3c 0.05). Waist circumference and systolic blood pressure also decreased in intervention groups compared to Control (p \u3c 0.01). Conclusions A program using computerized self-monitoring, technology-assisted feedback, and monthly measurement visits produced significant weight loss after 12 weeks. However, the addition of an enhanced behavioral component did not improve the effectiveness of the program. Practice implications This study suggests that healthcare professionals can effectively deliver a weight management intervention using technology-assisted strategies in a format that may complement and reduce face-to-face sessions

Computerized Self-Monitoring and Email Feedback for Weight Loss

Objective The purpose of this study was to develop and evaluate a 12-week weight management intervention involving computerized self-monitoring and technology-assisted feedback with and without an enhanced behavioral component. Methods 120 overweight (30.5 ± 2.6 kg/m2) adults (45.0 ± 10.3 years) were randomized to one of three groups: computerized self-monitoring with Basic feedback (n = 45), Enhanced behavioral feedback (n = 45), or wait-list control (n = 30). Intervention participants used a computer software program to record dietary and physical activity information. Weekly e-mail feedback was based on computer-generated reports, and participants attended monthly measurement visits. Results The Basic and Enhanced groups experienced significant weight reduction (−2.7 ± 3.3 kg and −2.5 ± 3.1 kg) in comparison to the Control group (0.3 ± 2.2; p \u3c 0.05). Waist circumference and systolic blood pressure also decreased in intervention groups compared to Control (p \u3c 0.01). Conclusions A program using computerized self-monitoring, technology-assisted feedback, and monthly measurement visits produced significant weight loss after 12 weeks. However, the addition of an enhanced behavioral component did not improve the effectiveness of the program. Practice implications This study suggests that healthcare professionals can effectively deliver a weight management intervention using technology-assisted strategies in a format that may complement and reduce face-to-face sessions

Weight bias in 2001 versus 2013: contradictory attitudes among obesity researchers and health professionals.

ObjectivesTo assess levels of two types of anti-fat bias in obesity specialists, explicit bias, or consciously accessible anti-fat attitudes, and implicit bias, or attitudes that are activated outside of conscious awareness, were examined. This study also assessed changes over time by comparing levels of bias in 2013 to published data from 2001.MethodsIn 232 attendees at the ObesityWeek 2013 conference, we measured explicit anti-fat bias and conducted the Implicit Association Test. These data were compared to those from a study conducted at the 2001 meeting of this group.ResultsParticipants exhibited significant implicit and explicit anti-fat/pro-thin bias. Positivity of professional experience with obesity, but not type of professional experience, was correlated with lower explicit anti-fat bias. Compared to 2001, the 2013 sample had lower levels of implicit bias and higher levels of explicit bias.ConclusionsAlthough implicit anti-fat attitudes appeared to decrease from 2001 to 2013, explicit anti-fat attitudes increased. Future research should examine whether increasing positive experiences with obese patients reduces anti-fat bias among health professionals. Together, these results suggest that despite the current climate of widespread anti-fat bias, there are pathways toward understanding and ameliorating this bias

Weight bias in 2001 versus 2013: contradictory attitudes among obesity researchers and health professionals.

ObjectivesTo assess levels of two types of anti-fat bias in obesity specialists, explicit bias, or consciously accessible anti-fat attitudes, and implicit bias, or attitudes that are activated outside of conscious awareness, were examined. This study also assessed changes over time by comparing levels of bias in 2013 to published data from 2001.MethodsIn 232 attendees at the ObesityWeek 2013 conference, we measured explicit anti-fat bias and conducted the Implicit Association Test. These data were compared to those from a study conducted at the 2001 meeting of this group.ResultsParticipants exhibited significant implicit and explicit anti-fat/pro-thin bias. Positivity of professional experience with obesity, but not type of professional experience, was correlated with lower explicit anti-fat bias. Compared to 2001, the 2013 sample had lower levels of implicit bias and higher levels of explicit bias.ConclusionsAlthough implicit anti-fat attitudes appeared to decrease from 2001 to 2013, explicit anti-fat attitudes increased. Future research should examine whether increasing positive experiences with obese patients reduces anti-fat bias among health professionals. Together, these results suggest that despite the current climate of widespread anti-fat bias, there are pathways toward understanding and ameliorating this bias