 This study analyzed over 3 million Reuters news articles published between 2007 and 2017 to identify trends in coverage, sentiments, and topics related to public health issues. The authors found that coverage of seven specific public health issues, smoking, exercise, alcohol drinking, diet, obesity, depression, and asthma decreased over time. Coverage of sexual behavior, pregnancy, and air pollution was more variable. The sentiments of the news articles for these three public health issues were mostly positive, while those for the other seven were mostly negative and associated with negative terms like disease. Finally, the authors used topic modeling to identify the main topics covered by the news articles, which included exercise, alcohol drinking, and diet. These findings suggest that text mining can be used to better understand public health issues and inform policy decisions. We are article.tv, links in the description below.