Smoking among morbidly obese patients

<p>Abstract</p> <p>Background</p> <p>Smokers usually have a lower Body Mass Index (BMI) when compared to non-smokers. Such a relationship, however, has not been fully studied in obese and morbidly obese patients. The objective of this study was to evaluate the relationship between smoking and BMI among obese and morbidly obese subjects.</p> <p>Methods</p> <p>In a case-control study design, 1022 individuals of both genders, 18-65 years of age, were recruited and grouped according to their smoking status (smokers, ex-smokers, and non-smokers) and nutritional state according to BMI (normal weight, overweight, obese, and morbidly obese).</p> <p>Results</p> <p>No significant differences were detected in the four BMI groups with respect to smoking status. However, there was a trend towards a higher frequency of smokers among the overweight, obese, and morbidly obese subjects compared to normal weight individuals (p = 0.078). In a logistic regression, after adjusting for potential confounders, morbidly obese subjects had an adjusted OR of 2.25 (95% CI, 1.52-3.34; p < 0.001) to be a smoker when compared to normal weight individuals.</p> <p>Discussion</p> <p>In this sample, while the frequency of smokers diminished in normal weight subjects as the BMI increased, such a trend was reversed in overweight, obese, and morbidly obese patients. In the latter group, the prevalence of smokers was significantly higher compared to the other groups. A patient with morbid obesity had a 2-fold increased risk of becoming a smoker. We speculate that these finding could be a consequence of various overlapping risk behaviors because these patients also are generally less physically active and prefer a less healthy diet, in addition to having a greater alcohol intake in relation to their counterparts. The external validity of these findings must be confirmed.</p

How patient and community involvement in diabetes research influences health outcomes : a realist review

Background Patient and public involvement in diabetes research is an international requirement, but little is known about the relationship between the process of involvement and health outcomes. Objective This realist review identifies who benefits from different types of involvement across different contexts and circumstances. Search strategies Medline, CINAHL and EMBASE were searched to identify interventions using targeted, embedded or collaborative involvement to reduce risk and promote self‐management of diabetes. People at risk/with diabetes, providers and community organizations with an interest in addressing diabetes were included. There were no limitations on date, language or study type. Data extraction and synthesis Data were extracted from 29 projects using elements from involvement frameworks. A conceptual analysis of involvement types was used to complete the synthesis. Main results Projects used targeted (4), embedded (8) and collaborative (17) involvement. Productive interaction facilitated over a sufficient period of time enabled people to set priorities for research. Partnerships that committed to collaboration increased awareness of diabetes risk and mobilized people to co‐design and co‐deliver diabetes interventions. Cultural adaptation increased relevance and acceptance of the intervention because they trusted local delivery approaches. Local implementation produced high levels of recruitment and retention, which project teams associated with achieving diabetes health outcomes. Discussion and Conclusions Achieving understanding of community context, developing trusting relationships across sectors and developing productive partnerships were prerequisites for designing research that was feasible and locally relevant. The proportion of diabetes studies incorporating these elements is surprisingly low. Barriers to resourcing partnerships need to be systematically addressed

A metastable equilibrium model for the relative abundances of microbial phyla in a hot spring

Many studies link the compositions of microbial communities to their environments, but the energetics of organism-specific biomass synthesis as a function of geochemical variables has rarely been assessed. We describe a thermodynamic model that integrates geochemical and metagenomic data for biofilms sampled at five sites along a thermal and chemical gradient in the outflow channel of the hot spring known as ‘‘Bison Pool’’ in Yellowstone National Park. The relative abundances of major phyla in individual communities sampled along the outflow channel are modeled by computing metastable equilibrium among model proteins with amino acid compositions derived from metagenomic sequences. Geochemical conditions are represented by temperature and activities of basis species, including pH and oxidation-reduction potential quantified as the activity of dissolved hydrogen. By adjusting the activity of hydrogen, the model can be tuned to closely approximate the relative abundances of the phyla observed in the community profiles generated from BLAST assignments. The findings reveal an inverse relationship between the energy demand to form the proteins at equal thermodynamic activities and the abundance of phyla in the community.Although the metabolisms used by many members of these communities are driven by chemical disequilibria, the results support the possibility that higher-level patterns of chemotrophic microbial ecosystems are shaped by metastable equilibrium states that depend on both the composition of biomass and the environmental conditions

Beverage patterns and trends among school-aged children in the US, 1989-2008

<p>Abstract</p> <p>Background</p> <p>High intake of sugar-sweetened beverages in childhood is linked to increased risk of obesity and type II diabetes later in life. Using three nationally representative surveys of dietary intake, we investigated beverage patterns and trends among US school-aged children from 1989/91 to 2007/08.</p> <p>Methods</p> <p>3, 583 participants ages 6-11 y old were included. We reported per capita trends in beverage consumption, percent consuming, and amount per consumer for the following categories of beverages: sugar-sweetened beverages (SSB), caloric nutritional beverages (CNB) and low calorie beverages (LCB). Statistically significant differences were tested using the Student's t test in Stata 11.</p> <p>Results</p> <p>While per capita kcal contribution from total beverages remained constant over the study period, per capita consumption of SSBs increased and CNBs decreased in similar magnitude. The substantial increase in consumption of certain SSBs, such as fruit drinks and soda, high fat high sugar milk, and sports drinks, coupled with the decrease in consumption of high fat low sugar milk was responsible for this shift. The percent consuming SSBs as well as the amount per consumer increased significantly over time. Per capita intake of total milk declined, but the caloric contribution from high fat high sugar milk increased substantially. Among ethnicities, important differences in consumption trends of certain SSBs and 100% juice indicate the complexity in determining strategies for children's beverage calorie reduction.</p> <p>Conclusions</p> <p>As upward trends of SSB consumption parallel increases in childhood obesity, educational and policy interventions should be considered.</p

Adolescents’ beverage choice at school and the impact on sugar intake

Background/Objectives: To examine students’ beverage choice in school, with reference to its contribution to students’ intake of non-milk extrinsic (NME) sugars. Subjects/Methods: Beverage and food selection data for students aged 11–18 years (n=2461) were collected from two large secondary schools in England, for a continuous period of 145 (school A) and 125 (school B) school days. Descriptive analysis followed by cluster analysis of the beverage data were performed separately for each school. Results: More than a third of all items selected by students were beverages, and juice-based beverages were students’ most popular choice (school A, 38.6%; school B, 35.2%). Mean NME sugars derived from beverages alone was high (school A, 16.7 g/student-day; school B, 12.9 g/student-day). Based on beverage purchases, six clusters of students were identified at each school (school A: ‘juice-based’, ‘assorted’, ‘water’, ‘cartoned flavoured milk’, ‘bottled flavoured milk’, ‘high volume juice-based’; school B: ‘assorted’, ‘water with juice-based’, ‘sparkling juice/juice-based’, ‘water’, ‘high volume water’, ‘high volume juice-based’). Both schools included ‘high volume juice-based’ clusters with the highest NME sugar means from beverages (school A, 28.6 g/student-day; school B, 24.4 g/student-day), and ‘water’ clusters with the lowest. A hierarchy in NME sugars was found according to cluster; students in the ‘high volume juice-based’ cluster returned significantly higher levels of NME sugars than students in other clusters. Conclusions: This study reveals the contribution that school beverages combined with students’ beverage choice behaviour is making to students’ NME sugar intake. These findings inform school food initiatives, and more generally public health policy around adolescents’ dietary intake