Is Obesity a Risk Factor for Vaccine Non-Responsiveness?

Understanding the link between vaccine immunogenicity and efficacy is currently a major focus in HIV research. Consequently, recent developments in the HIV-1 vaccine field have led to a closer look at immune responses to known efficacious vaccines. We undertook a study to explore clinical predictors of vaccine efficacy following recombinant hepatitis B (rHBV) vaccination in a cohort of HIV-uninfected, hepatitis B virus naïve women living in a peri-urban setting in Cape Town. Our aim was to define host biological risk factors associated with lack of vaccine uptake. We found a significant association (p=0.009) between body mass index (BMI) and lack of vaccine-specific IgG titre (<10mIU/mL). Obese individuals (BMI ≥ 30kg/m²) were significantly more likely to be non-responders following 2 rHBV vaccine doses (Adjusted Odds Ratio of 8.75; p=0.043). There was no observed association between vaccine responses and age, method of contraception or time from vaccination to antibody measurement. These data suggest that obesity-associated factors interfere with vaccine immunogenicity and possible efficacy.     

Does It Matter that Madagascar is an Island?

Being an island has been important for Madagascar's archaeology in two ways. First, its insularity was probably responsible for the lateness and some features of its first human colonizers, as well as for its highly endemic flora and fauna. The earliest coastal communities continued to interact with the Indian Ocean trade network, but the latterly settled interior eventually saw the greatest population increases, eclipsing the coastal communities in power. Second, it may be that as an island, archaeologists have unconsciously been predisposed to interpret Malagasy prehistory in terms of a tree-like model of evolution from a single ancestral culture. Yet if, as seems probable, Malagasy culture has seen contributions from many others, such a single proto-culture may never have existed.     

Nebulin: Does It Measure up as a Ruler?

A recent study has shown that the giant protein nebulin maintains the lengths of actin filaments in striated muscle cells. Although on the surface, nebulin looks like a molecular ruler, it may be playing a more complex role in regulating dynamics at the pointed end of actin filaments in striated muscle.     

Reverse Relationship Between Blood Boron Level and Body Mass Index in Humans: Does It Matter for Obesity?

The exact role of boron in humans is not known although its supplementation causes several important metabolic and inflammatory changes. The objective of this study is to evaluate the possibility of an association between blood boron level and obesity in normal, overweight, obese, and morbidly obese subjects. A total number of 80 subjects, categorized into four groups based on their body mass index as normal, overweight, obese, and morbidly obese, were enrolled in this study. Age, sex, body mass index, and blood boron levels were recorded for each subject. Although the distribution of female and male subjects and blood boron levels were similar between groups, the mean age of normal subjects was significantly lower than the others (p?=?0.002). There was a significant relationship between age and quantitative values of body mass index for each subject (β?=?0.24; p?=?0.003). In addition, between blood boron levels and quantitative values of body mass index for each subject, a significant reverse relationship was detected (β?=??0.16; p?=?0.043). Although age seemed to be an important variable for blood boron level and body mass index, blood boron levels were shown to be lower in obese subjects in comparison to non-obese subjects.     

Does Competition Work as a Motivating Factor in E-Learning? A Randomized Controlled Trial

Background and Aims

Examinations today are often computerized and the primary motivation and curriculum is often based on the examinations. This study aims to test if competition widgets in e-learning quiz modules improve post-test and follow-up test results and self-evaluation. The secondary aim is to evaluate improvements during the training period comparing test-results and number of tests taken.

Methods

Two groups were randomly assigned to either a quiz-module with competition widgets or a module without. Pre-, post- and follow up test-results were recorded. Time used within the modules was measured and students reported time studying. Students were able to choose questions from former examinations in the quiz-module.

Results

Students from the competing group were significantly better at both post-and follow-up-test and had a significantly better overall learning efficiency than those from the non-competing group. They were also significantly better at guessing their post-test results.

Conclusion

Quiz modules with competition widgets motivate students to become more active during the module and stimulate better total efficiency. They also generate improved self-awareness regarding post-test-results.     

Do Bumblebees Forage Optimally, and Does It Matter?

Foraging behavior of bumblebees has been in the past analyzedfrom two major perspectives. On the one hand, behavioral mechanismshave been studied to learn more about the animal. On the otherextreme, the animal has been used incidentally to examine optimalforaging theory (O.F.T.). Major problems have arisen when theorydesigned to answer evolutionary questions was used to determineproximal mechanisms. While O.F.T. could be highly useful inmaking predictions to point out useful problems, the bottleneckto our understanding at the present resides in the lack of experimentsthat test alternative hypotheses. Whether or not a bumblebee worker's foraging behavior is adaptive(enhances fitness), however, or is optimal (maximizes fitness)cannot yet be resolved by observations or experimentation onindividual bees. However, calculations can show the potentialenergy costs and payoffs of alternative potential foraging behaviors.Rapid progress could be made by examining the mechanisms offoraging behavior that act to enhance foraging returns, withoutworrying about whether or not the behavior is "optimal."     

Is Rural Residency a Risk Factor for Overweight and Obesity for U.S. Children?

Objective: Despite studies suggesting that there is a higher prevalence of overweight or obese children in rural areas in the U.S., there are no national studies comparing the prevalence levels of overweight or obese rural to metropolitan children. The objective of this research was to examine the hypothesis that living in a rural area is a risk factor for children being overweight or obese. Research Methods and Procedures: Using the National Survey of Children's Heath, the prevalence of overweight and/or obese rural children was compared with that of children in metropolitan settings. Multivariate analyses were performed on the data to detect if differences varied by health services use factors or demographic factors, such as household income, gender, and race. Results: Multivariate analysis revealed that overweight or obese children ≥5 years of age were more likely to live in rural rather than metropolitan areas (odds ratio = 1.252; 95% confidence interval, 1.248, 1.256). Rural overweight U.S. children ≥5 years of age of age were more likely than their metropolitan counterparts to: be white, live in households ≤200% of the federal poverty level, have no health insurance, have not received preventive health care in the past 12 months, be female, use a computer for non‐school work >3 hours a day, and watch television for >3 hours a day. In addition, they were more likely to have comorbidities. Discussion: Living in rural areas is a risk factor for children being overweight or obese.     

Revisiting the Effect of Capture Heterogeneity on Survival Estimates in Capture-Mark-Recapture Studies: Does It Matter?

Recently developed capture-mark-recapture methods allow us to account for capture heterogeneity among individuals in the form of discrete mixtures and continuous individual random effects. In this article, we used simulations and two case studies to evaluate the effectiveness of continuously distributed individual random effects at removing potential bias due to capture heterogeneity, and to evaluate in what situation the added complexity of these models is justified. Simulations and case studies showed that ignoring individual capture heterogeneity generally led to a small negative bias in survival estimates and that individual random effects effectively removed this bias. As expected, accounting for capture heterogeneity also led to slightly less precise survival estimates. Our case studies also showed that accounting for capture heterogeneity increased in importance towards the end of study. Though ignoring capture heterogeneity led to a small bias in survival estimates, such bias may greatly impact management decisions. We advocate reducing potential heterogeneity at the sampling design stage. Where this is insufficient, we recommend modelling individual capture heterogeneity in situations such as when a large proportion of the individuals has a low detection probability (e.g. in the presence of floaters) and situations where the most recent survival estimates are of great interest (e.g. in applied conservation).     

Focus: Personalized Medicine: Precision in Addiction Care: Does It Make a Difference?

This perspective article explores the possibilities of precision in addiction care — even better individually fitted or tailor-made care — and examines what changes we need to make in order to realize sensible progress in epidemiological key figures. The first part gives a short review on the development of addiction care and tries to answer the question of where we stand now and what has been achieved in addiction science through the development and evaluation of interventions in the past decades. Following this analysis, attention will be paid to what lies ahead. This second part focuses on the question of how addiction care can deal with the consequences of the emerging paradigm of personalized or precision medicine, which is based on the fundamental assumption that individual differences matter. Finally, some limitations and conditions as well as tasks and goals for progress are raised. In conclusion, it is argued that integration of addiction care in (mental) health care in the future is desirable.