GIS Health Weekly News: Food Addiction, Healthy Eating, Life Expectancy
Research released last week online in the American Journal of Clinical Nutrition (abstract, full text requires subscription) looked at food addiction. It used data from 134,000 middle-aged and older women who were part of the Nurses’ Health Study. About 6% could be considered to have a food addiction. As for geography:
Women from the eastern United States seem to have fewer problems with food addiction than those from the South or Midwest, although researchers don’t know why.
Healthy Eating Worldwide
The highest scoring countries were all in Europe, except for Australia. The United States came in 21st, dragged down by high rates of diabetes and obesity.
The lowest ranked countries were predominantly in Africa. Chad was the lowest ranked of the 125 countries for which full data were available, followed closely by Angola, Ethiopia, Madagascar, and Yemen.
U.S. Life Expectancy by State Compared to Countries of the World
Americans live to nearly 80 years, placing them 35th in the world in terms of life expectancy from birth. The non-profit Measure of America created a map to put the numbers in context: the choropleth state map shows life expectancy and to what country that number best maps.
Indoor Hospital Navigation
Robert Wood Johnson University Hospital, New Brunswick, NJ, selected Connexient’s MediNav to serve patients, visitors and staff indoor maps and navigation tools. An app runs on iPhone and Android smartphones, as well as on an in-hospital kiosk solution.
Heat Vulnerability Maps for Australian Cities
Researchers at Monash University have produced a heat vulnerability map for Melbourne that identifies the city's most at-risk suburbs including Sunshine, St Albans, Glenroy, Coburg, Preston, Reservoir, Clayton and Dandenong.
Professor Nigel Tapper from the Cooperative Research Centre (CRC) for Water Sensitive Cities said the map identified Melbourne's postcodes most vulnerable to heat-wave conditions based on risk factors that include lack of tree cover, housing types and the age, health and socio-economic status of the population.