When overweight is the normal weight: an examination of obesity using a social media internet database.

Using a large social media database, Yahoo Answers, we explored postings to an online forum in which posters asked whether their height and weight qualify themselves as "skinny," "thin," "fat," or "obese" over time and across forum topics. We used these data to better understand whether a higher-than-average body mass index (BMI) in one's county might, in some ways, be protective for one's mental and physical health. For instance, we explored whether higher proportions of obese people in one's county predicts lower levels of bullying or "am I fat?" questions from those with a normal BMI relative to his/her actual BMI.

New evidence on racial and ethnic disparities in homeownership in the United States from 2001 to 2010.

Using 2001-2010 homeownership data for the United States we analyze changes in racial and ethnic disparities between whites and blacks, Asians, Mexicans, Cubans, Puerto Ricans and other Hispanics. We employ Integrated Public Use Microdata (IPUMS) combined with local credit scores and house price to income ratios. Controlling for demographic, income, wealth, employment, and housing characteristics, we find no significant differences between whites and Asians, Mexicans, or Cubans.

Gender differences in material, psychological, and social domains of the income gradient in mortality: implications for policy.

We set out to examine the material, psychological, and sociological pathways mediating the income gradient in health and mortality. We used the 2008 General Social Survey-National Death Index dataset (N = 26,870), which contains three decades of social survey data in the US linked to thirty years of mortality follow-up. We grouped a large number of variables into 3 domains: material, psychological, and sociological using factor analysis.