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. 2020 Apr 1;6(2):e14952. doi: 10.2196/14952

Table 2.

Demographics of users from each source.

Attribute and demographic		TwitterHealth, %	Google+Health, %	DailyStrength, n (%)	WebMD, n (%)
Gender
	Male	48.19^a	64.64^a	95,269 (17.26)^b	6769 (32.41)^b
	Female	51.81^a	35.36^a	456,600 (82.74)^b	14,117 (67.59)^b
Age (years)
	0-17	N/A^c	3.42^a	6656 (1.33)^b	N/A
	18-34	N/A	53.21^a	187,966 (37.55)^b	N/A
	35-44	N/A	21.89^a	126,646 (25.30)^b	N/A
	45-64	N/A	19.02^a	149,487 (29.86)^b	N/A
	≥65	N/A	2.46^a	29,847 (5.96)^b	N/A
Ethnicity
	Asian	3.24^a	5.60^a	N/A	N/A
	Black	0.30^a	0.30^a	N/A	N/A
	Hispanic	23.50^a	17.40^a	N/A	N/A
	White	73.00^a	76.60^a	N/A	N/A
Region
	Northeast	165,531 (19.83)^d	2598 (17.86)^d	73,221 (19.58)^b	N/A
	Midwest	174,620 (20.92)^d	2393 (16.45)^d	84,302 (22.55)^b	N/A
	South	313,350 (37.53)^d	4863 (33.44)^d	123,556 (33.05)^b	N/A
	West	181,400 (21.73)^d	4690 (32.25)^d	92,809 (24.82)^b	N/A

^aBased on Sadah et al [12].

^bCalculated with user data collected or estimated from this study.

^cN/A: not applicable.

^dCalculated from user counts reported in the study by Sadah et al [13].