Archive for category Nutrition and obesity

Soda Ounces of Prevention

A penny-per-ounce tax on sugared beverages could reduce consumption by more than 10%. It is difficult to imagine producing behavior change of this magnitude through education alone, even if government devoted massive resources to the task. In contrast, a sales tax on sugared drinks would generate considerable revenue, and as with the tax on tobacco, it could become a key tool in efforts to improve health.

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Effects of Soft Drink Consumption on Nutrition and Health

This systematic review and meta-analysis of 88 studies was published in 2007. The available data indicate a clear and consistent association between soft drink consumption and increased energy intake.

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Obese women play cancer roulette

Obese women may be putting themselves at greater risk of breast cancer by not undergoing regular screening. This study examines why overweight women are less likely to undergo breast cancer screening.

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Trends in the prevalence and incidence of diabetes in the UK

Diabetes prevalence increased from 2.8% in 1996 to 4.3% in 2005. This might be primarily explained by the changes in obesity prevalence.

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Produce and heart rate variability

This study of586 old men suggest that higher intake of green leafy vegetables may reduce the risk of cardiovascular disease through favorable changes in cardiac autonomic function.

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Childhood obesity prevention study

3135 boys and girls in grades 1-4 were included in this new Swedish study. Low-fat dairy products and whole-grain bread were promoted and all sweets and sweetened drinks were eliminated in intervention schools. Physical activity (PA) was aimed to increase by 30 min per day during school time and sedentary behaviour restricted during after school care time. PA was measured by accelerometry. No weight difference between intervention and controls was found after cluster adjustment. However, a larger proportion of the children who were initially overweight reached normal weight in the intervention group (14%) compared with the control group (7.5%). PA did not differ between intervention and control schools after cluster adjustment.

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Global Variability in Fruit and Vegetable Consumption

Data from 196,373 adult participants from 52 countries taking part in the World Health Survey (2002–2003) were analyzed in the summer of 2008. Low fruit and vegetable consumption prevalence ranged from 36.6% (Ghana) to 99.2% (Pakistan) for men and from 38.0% (Ghana) to 99.3% (Pakistan) for women. Overall, 77.6% of men and 78.4% of women from the 52 mainly low- and middle-income countries consumed less than the minimum recommended five daily servings of fruits and vegetables.

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Food Environments in University Dorms 20,000 Calories per Dorm Room and Counting

100 dormitory-residing students were recruited from a large, public university. Research staff completed a detailed inventory of food and beverages in the dorm rooms, including nutrient contents and purchasing sources. The mean number of food and beverage items per participant was 47, with 4% of participants not having any food or beverages. More than 70% of students had each of the following types of items: salty snacks, cereal or granola bars, main dishes, desserts or candy, and sugar-sweetened beverages. The average number of calories per dorm room was 22,888. Obesity prevention efforts are needed, and improving the various facets of campus food environments may mark an important component of such strategies.

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Environmental interventions for eating and physical activity in middle schools

Environmental and policy interventions were effective in increasing physical activity at school among boys but not girls. The interventions were not effective in reducing fat intake at school. School environmental and policy interventions have the potential to improve health behavior of the student population, but barriers to full implementation need to be better understood and overcome.

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Flock to fast food to stretch your paycheck? Heavens no!

Fast food joints have always profited on poverty. People living in our nation’s poorest communities are exposed to two-and-a-half times more fast food establishments than people living in wealthier areas. To make matters worse, low-income neighborhoods average 30% fewer supermarkets than high-income areas.

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