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. 2022 Oct 18;19(20):13485. doi: 10.3390/ijerph192013485

Table 2.

Demographic Characteristics of Study Participants 1.

CA/Bay Area 2
(n = 6442)
Hangzhou
(n = 10,268)
New Taipei City
(n = 3033)
Age, mean (SD) 41.4 (17.2) 53.2 (14.1) 54.4 (11.5)
Gender 3
Female 4586 (71.2) 6187 (60.3) 2064 (68.1)
Male 1754 (27.2) 4081 (39.7) 969 (31.9)
Missing 28 (0.4) 0 (0.0) 0 (0.0)
Educational attainment
High school or less 819 (12.7) 7499 (73.0) 1593 (52.5)
Some college 1221 (19.0) 1255 (12.2)
Bachelor’s degree 4 2084 (32.4) 1208 (11.8) 1173 (38.7)
Post-graduate/professional degree 2273 (35.3) NA 264 (8.7)
Missing 45 (0.7) 306 (3.0) 3 (0.1)
Employment status
Working 4356 (67.6) 3036 (29.6) 1627 (53.6)
Not Working 539 (8.4) 2171 (21.1) 507 (16.7)
Retired 472 (7.3) 4723 (46.0) 835 (27.5)
Student 1047 (16.3) 32 (0.3) 13 (0.4)
Missing 28 (0.4) 306 (3.0) 51 (1.7)
Marital status
Married or cohabiting 2758 (42.8) 8748 (85.2) 2293 (75.6)
Single 2606 (40.5) 555 (5.4) 407 (13.4)
Other 1047 (16.3) 659 (6.4) 329 (10.8)
Missing 31 (0.5) 306 (3.0) 4 (0.1)

1 Figures reported are from pre-imputation datasets. 2 Race/ethnicity data were collected for the Bay Area cohort and appear in Supplemental Table S1. 3 Transgender participants (n = 74, 1.1%) were also recorded in the CA/Bay Area WELL survey.4 For the Hangzhou cohort, the highest option for educational attainment was “college and above”, and is presented here under bachelor’s degree.