GOOD links this map from a new report on state obesity from the Trust for America’s Health.
A quarter or more of all adults are classified as obese in more than two-thirds of states. The fattest states are all in the South. Colorado, California, Montana, and Mid-Atlantic and New England states have the lowest rates of obesity.
Obesity has reached epidemic proportions in America. More than 72 million American adults are obese, according to estimates from the National Center for Health Statistics. But obesity varies greatly by state. The map below, from the Centers from Disease Control (CDC), shows the obesity rate for the 50 states, measured as the share of people with a Body Mass Index (BMI) over 30 which the CDC classifies as “obese.”
A week or so ago, I looked at the relationship between smoking and a variety of economic, social, and health factors. With a helpful analytical hand from Charlotta Mellander, we found that smoking was significantly correlated with obesity as well as being correlated with education levels, class structure, and other factors. So, we decided to take a quick look at the state-level factors that might be associated with obesity. We ran some simple correlations and scatter-plots between state obesity rates and these factors. As usual, we point out that correlation does not imply causality, but simply points to associations between variables. Still, a number of interesting things stand out.
It should come as little surprise that states with higher levels of obesity have significantly higher rates of death from cancer, heart disease, and cerebrovascular diseases like hypertension. There is a significant correlation between obesity and death rates from cancer (.7), heart disease (.7), and cerebrovascular disease (.7).
It might be, however, that states with greater percentages of obesity are those where people pay less attention to their health generally or are more likely to engage in risky behavior. And that’s what we find at least in the case of smoking which correlates highly with state levels of obesity (.8).
Might obesity be related to states’ broader social and psychological climates? To get at this, we looked at the relationship between obesity and a commonly used measure of subjective well-being or happiness developed by the Gallup Organization. Obesity is negatively associated with state happiness (with a correlation of -.6). Since these correlations only reflect associations between variables and not causality, it’s hard to say whether this reflects the fact that happier people eat less, are healthier, or are less prone to obesity, or if unhappier people eat more, are unhealthier, or are somehow more prone to obesity, or if both obesity and happiness levels reflect something else. To get at this, we look at the associations between state obesity rates and social and demographic factors below.
Common sense would suggest that more affluent people would have lower levels of obesity and poorer ones higher, and we find such an association. Obesity is correlated with income levels (-.6) and more moderately so with economic output, measured as gross state product per capita (-.4).
One would think that states with greater concentrations of more highly educated people have lower levels of obesity, and that is what we find. States with higher levels of human capital, measured as the percentage of adults with a college degree, have lower levels of obesity (the correlation being -.8).
To what extent does obesity reflect the kind of work people do? We examine the relationships between obesity and three classes of jobs – creative/professional/knowledge jobs, blue-collar working class jobs, and standardized service class jobs like those in food processing and home health care. Obesity is strongly associated with the share of working class jobs (with a correlation of .7). Obesity is negatively correlated with the share of creative class jobs (-.6). Obesity is also negatively correlated with the share of service class jobs (-.4), though more moderately so.
Obesity is lower in states with higher concentrations of artists, musicians, and entertainers (with a correlation of-.6), those with larger concentrations of gays and lesbians (-.5), and immigrants (-.5). This likely reflects broader structural characteristics of those states, as more highly educated states also tend to be more tolerant and open to diversity.
Paul Kennedy famously argued that imperial overstretch — that is devoting too much money and resources to military uses — plays a central role in the decline of great powers, including the United States. But it looks like America’s growing obesity epidemic is reducing the pool of capable recruits, according to this story in The Washington Post (via Dana Goldstein).
About 75 percent of the country’s 17- to 24-year-olds are ineligible for military service, largely because they are poorly educated, overweight and have physical ailments that make them unfit for the armed forces, according to a report to be issued Thursday.
Other factors, such as drug use, criminal records and mental problems, contribute to what military leaders say is a major problem that threatens the country’s ability to defend itself at a time when the all-volunteer force is already strained fighting two wars.
Money quote:
When you get kids who can’t do push-ups, pull-ups or run, this is a fundamental problem not just for the military but for the country,” said Curtis Gilroy, the Pentagon’s director of accessions policy. Many kids are not “taking physical education in school; they’re more interested in sedentary activities such as the computer or television. And we have a fast-food mentality in this country.”
Childhood obesity varies considerably across the fifty states and reflects some straightforward economic and demographic patterns, according to a basic correlation analysis by my colleague Charlotta Mellander. Childhood obesity, not surprisingly, reflects adult obesity (with a correlation of .54). It is also more prevalent in states with large working class populations (.4). It is less likely in states with higher income levels (-.32), greater concentrations of the creative class (-.37), and especially those with higher levels of adults with college degrees (-.64).
Photo Credit: Flickr User Seattle Municipal Archives
