. Author manuscript; available in PMC: 2021 Oct 1.

Published in final edited form as: J Racial Ethn Health Disparities. 2020 Feb 4;7(5):888–900. doi: 10.1007/s40615-020-00712-y

Table 2.

Twitter-derived sentiment with CVD outcomes, weighted^a

	Hypertension	Diabetes	Obesity	Stroke	MI	CHD	Any CVD

Twitter Sentiment^c	Prevalence Ratio (95% CI)^b	Prevalence Ratio (95% CI)^b	Prevalence Ratio (95% CI)^b	Prevalence Ratio (95% CI)^b	Prevalence Ratio (95% CI)^b	Prevalence Ratio (95% CI)^b	Prevalence Ratio (95% CI)^b

Positive tweets
3rd tertile (highest)	0.97 (0.94, 1.00)	0.94 (0.90, 0.99)	0.97 (0.94, 1.00)	0.89 (0.80, 0.98)	0.91 (0.83, 0.98)	0.94 (0.86, 1.02)	0.90 (0.86, 0.95)
2nd tertile	0.97 (0.94, 1.00)	0.95 (0.90, 0.99)	0.97 (0.95, 1.00)	0.88 (0.81, 0.96)	0.93 (0.86, 1.00)	0.97 (0.90, 1.05)	0.90 (0.86, 0.95)
Negative tweets
3rd tertile (highest)	1.11 (1.08, 1.14)	1.15 (1.08, 1.22)	1.14 (1.10, 1.18)	1.30 (1.16, 1.46)	1.14 (1.03, 1.25)	1.09 (1.00, 1.19)	1.16 (1.09, 1.24)
2nd tertile	1.06 (1.04, 1.08)	1.03 (0.94, 1.07)	1.05 (1.02, 1.08)	1.13 (1.04, 1.22)	1.08 (1.00, 1.15)	1.06 (0.99, 1.13)	1.07 (1.03, 1.13)
N	433,434	433,066	433,680	433,605	433,597	433,540	433,680

Data source for health outcome: BRFSS 2017

Adjusted Poisson regression models were run for each outcome separately. Models controlled for individual level age, race, sex, marriage as well as state level percent of non-Hispanic white, percent of non-Hispanic black, percent of Hispanic, and median household income. Twitter-derived sentiment were categorized into tertiles, with the lowest tertile serving as the referent group. Analyses accounted for survey weights and complex survey design to produce nationally representative estimates.

Twitter sentiment including % positive tweets and % negative tweets were constructed at state level with all the race-related tweets. We categorized % positive tweets and % negative tweets into tertiles with the lowest levels as the references.