Social media indicators of the food environment and state health outcomes.

OBJECTIVES: Contextual factors can influence health through exposures to health-promoting and risk-inducing factors. The aim of this study was to (1) build, from geotagged Twitter and Yelp data, a national food environment database and (2) to test associations between state food environment indicators and health outcomes. STUDY DESIGN: This is a cross-sectional study based upon secondary analyses of publicly available data. METHODS: Using Twitter's Streaming Application Programming Interface (API), we collected and processed 4,041,521 food-related, geotagged tweets between April 2015 and March 2016. Using Yelp's Search API, we collected data on 505,554 unique food-related businesses. In linear regression models, we examined associations between food environment characteristics and state-level health outcomes, controlling for state-level differences in age, percent non-Hispanic white, and median household income. RESULTS: A one standard deviation increase in caloric density of food tweets was related to higher all-cause mortality (+46.50 per 100,000), diabetes (+0.75%), obesity (+1.78%), high cholesterol (+1.40%), and fair/poor self-rated health (2.01%). More burger Yelp listings were related to higher prevalence of diabetes (+0.55%), obesity (1.35%), and fair/poor self-rated health (1.12%). More alcohol tweets and Yelp bars and pub listings were related to higher state-level binge drinking and heavy drinking, but lower mortality and lower percent reporting fair/poor self-rated health. Supplemental analyses with county-level social media indicators and county health outcomes resulted in finding similar but slightly attenuated associations compared to those found at the state level. CONCLUSIONS: Social media can be utilized to create indicators of the food environment that are associated with area-level mortality, health behaviors, and chronic conditions.

Discrepancies in cytogenetic findings in chorionic villi.

We present a database and a review of published literature on discrepancies in chorionic villus (CV) diagnostic findings. The review includes 457 cases of discrepancies between CV findings (direct, culture, or both) and the fetus. One hundred and one cases reported normal by CV direct harvest included 30 with abnormal or mosaic abnormal fetal karyotype (30% false negatives). The corresponding number of false negatives for CV culture was only 4 cases out of 133 (3%). Assuming no bias in reporting cases based on site of discrepancy (assumption may not hold), these data imply that the probability of false-negative findings is 10-fold higher by CV direct method compared to CV culture method. We also reviewed recent studies reporting on large series of CV diagnosis. This review revealed that the reported overall frequencies of discrepancies as a percentage of abnormal and mosaic abnormal CV results ranged from 11 to 63% (a mean of 37%). These data, together with recent reports of survival of embryos with reported abnormal karyotypes because of confined placental mosaicism (CPM), raise several questions pertaining to the predictive value of CV sampling and the origin of the discrepancies in the fetal-placental unit. Caution is recommended in counseling patients undergoing CV sampling to provide appropriate follow-up studies in cases of possible discrepancies.