id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-272679-dobaci5p	Yan, Brandon W.	Changes in Mental Health Following the 2016 Presidential Election	2020-10-31		.txt	text/plain	3869	195	60	We used ordinary least squares linear regression to fit our model and applied BRFSS survey weights to obtain nationally representative estimates while adjusting for respondent's age group, sex, race/ethnicity, income, educational attainment, state, and 6 months of pre-November trends. In subgroup analysis, the rise in poor mental health days in Clinton states in December 2016 reflected increases in such days by adults aged 65 and older, women, and white individuals (Table 1) . In contrast, depression rates compared to October 2016 first rose statistically in Clinton states in January 2017 (2.1percentage point increase, SE 0.8, p = 0.008), 1 month following the rise in days of reported poor mental health (Fig. 2 ). Although other factors are likely contributory, the sustained mental health worsening in Clinton states in the 6 months following the election suggests that the potential effects of Trump's victory were not transitory, a hypothesis supported by a closely lagging rise in self-reported diagnoses of depression.	./cache/cord-272679-dobaci5p.txt	./txt/cord-272679-dobaci5p.txt