Reducing Obesity: Policy Strategies From the Tobacco War

Outlines the impact of obesity on health, healthcare costs, and productivity. Reviews successful policy interventions to reduce tobacco use and considers whether excise or sales tax, labeling requirements, and advertising bans could lower obesity rates

Preventing type 2 diabetes mellitus in Qatar by reducing obesity, smoking, and physical inactivity: mathematical modeling analyses.

BACKGROUND: The aim of this study was to estimate the impact of reducing the prevalence of obesity, smoking, and physical inactivity, and introducing physical activity as an explicit intervention, on the burden of type 2 diabetes mellitus (T2DM), using Qatar as an example. METHODS: A population-level mathematical model was adapted and expanded. The model was stratified by sex, age group, risk factor status, T2DM status, and intervention status, and parameterized by nationally representative data. Modeled interventions were introduced in 2016, reached targeted level by 2031, and then maintained up to 2050. Diverse intervention scenarios were assessed and compared with a counter-factual no intervention baseline scenario. RESULTS: T2DM prevalence increased from 16.7% in 2016 to 24.0% in 2050 in the baseline scenario. By 2050, through halting the rise or reducing obesity prevalence by 10-50%, T2DM prevalence was reduced by 7.8-33.7%, incidence by 8.4-38.9%, and related deaths by 2.1-13.2%. For smoking, through halting the rise or reducing smoking prevalence by 10-50%, T2DM prevalence was reduced by 0.5-2.8%, incidence by 0.5-3.2%, and related deaths by 0.1-0.7%. For physical inactivity, through halting the rise or reducing physical inactivity prevalence by 10-50%, T2DM prevalence was reduced by 0.5-6.9%, incidence by 0.5-7.9%, and related deaths by 0.2-2.8%. Introduction of physical activity with varying intensity at 25% coverage reduced T2DM prevalence by 3.3-9.2%, incidence by 4.2-11.5%, and related deaths by 1.9-5.2%. CONCLUSIONS: Major reductions in T2DM incidence could be accomplished by reducing obesity, while modest reductions could be accomplished by reducing smoking and physical inactivity, or by introducing physical activity as an intervention

Morris Healthy Eating Changes Food Culture

MHE has increased access to and availability of healthy foods while reducing obesity

The association between county political inclination and obesity: Results from the 2012 presidential election in the United States.

ObjectiveWe examined whether stable, county-level, voter preferences were significantly associated with county-level obesity prevalence using data from the 2012 US Presidential election. County voting preference for the 2012 Republican Party presidential candidate was used as a proxy for voter endorsement of personal responsibility approaches to reducing population obesity risk versus approaches featuring government-sponsored, multi-sectoral efforts like those recommended by the Centers for Disease Control Centers for Disease Control (CDC, 2009).MethodCartographic visualization and spatial analysis were used to evaluate the geographic clustering of obesity prevalence rates by county, and county-level support for the Republican Party candidate in the 2012 U.S. presidential election. The spatial analysis informed the spatial econometric approach employed to model the relationship between political preferences and other covariates with obesity prevalence.ResultsAfter controlling for poverty rate, percent African American and Latino populations, educational attainment, and spatial autocorrelation in the error term, we found that higher county-level obesity prevalence rates were associated with higher levels of support for the 2012 Republican Party presidential candidate.ConclusionFuture public health efforts to understand and reduce obesity risk may benefit from increased surveillance of this and similar linkages between political preferences and health risks

Reducing Obesity in Rural Alabama: From Focus Groups to Community Coalitions

With an adult obesity rate of 35.6%, Alabama is the second most obese state in the United States. Alabama Extension and the Centers for Disease Control and Prevention (CDC) joined in the first collaboration between the CDC and land-grant institutions to prevent further incidence and reduce the prevalence of obesity. The objective of our study was to determine perceived barriers and assets related to nutrition education, food retail, and physical activity in 14 rural counties in Alabama where adult obesity rates are greater than 40%. Extension formed community coalitions in the counties to help identify community-specific needs and strategies related to obesity prevention and reduction

Bending the Curve: Options for Achieving Savings and Improving Value in Health Spending

Analyzes the potential of fifteen federal health policy options to lower spending over the next ten years and yield higher value on investments in health care

Soda Taxes and Substitution Effects: Will Obesity be Affected?

Obesity, Soft Drink Taxation, Agribusiness, Food Consumption/Nutrition/Food Safety, Health Economics and Policy, I12, H20, H71,

Preventing childhood obesity by reducing consumption of carbonated drinks: cluster randomised controlled trial

Objective To determine if a school based educational programme aimed at reducing consumption of carbonated drinks can prevent excessive weight gain in children. Design Cluster randomised controlled trial. Setting Six primary schools in southwest England. Participants 644 children aged 7-11 years. Intervention Focused educational programme on nutrition over one school year. Main outcome measures Drink consumption and number of overweight and obese children. Results Consumption of carbonated drinks over three days decreased by 0.6 glasses (average glass size 250 ml) in the intervention group but increased by 0.2 glasses in the control group (mean difference 0.7, 95% confidence interval 0.1 to 1.3). At 12 months the percentage of overweight and obese children increased in the control group by 7.5%, compared with a decrease in the intervention group of 0.2% (mean difference 7.7%, 2.2% to 13.1%). Conclusion A targeted, school based education programme produced a modest reduction in the number of carbonated drinks consumed, which was associated with a reduction in the number of overweight and obese children

Opportunistic health promotion among overweight children

Aim To explore children’s nurses’ attitudes to providing health promotion advice to overweight children and their families during hospital admissions. Methods Individual semi-structured interviews were conducted in a private room in the ward setting. Interviews were recorded and transcribed, and thematic analysis of the transcripts was undertaken. Findings The six themes generated from responses were: responsibility for health promotion; sensitivity of the topic; long-term benefits; parents – a barrier; need for training; and need for institutional support. Conclusion Further research with acute care children’s nurses in the UK is required to validate the study findings. More work is also needed to explore the ethics of health promotion in the acute care setting