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. Author manuscript; available in PMC: 2020 Jun 29.
Published in final edited form as: J Rural Health. 2015 Dec 11;33(1):71–81. doi: 10.1111/jrh.12167

Table 1.

Participant Characteristics (N = 33)

Characteristic N (%)
Age
 18–34 5 (15.2)
 35–64 22 (66.7)
 65 and older 6 (18.2)
Gender
 Male 13 (40.0)
 Female 20 (60.0)
Race/ethnicitya
 Non-Hispanic white 21 (63.6)
 AI 10 (30.3)
 Other 2 (6.0)
Residential status
 Live alone 12 (36.4)
 Live with spouse 15 (45.5)
 Other 6 (18.2)
Employment status
 Not currently employed 8 (24.2)
 Employed <20 hours/week 2 (6.1)
 Employed 20–30 hours/week 5 (15.2)
 Employed 40 hours or more/week 13 (39.4)
 Retired 5 (15.2)
Geographyb
 Urban 5 (15.2)
 Rural 20 (60.6)
 Reservation 8 (24.2)
Income (% FPL)
 ≤50% FPL 3 (9.1)
 50%−138% FPL 7 (21.2)
 138%−250% FPL 7 (21.2)
 250%−400% FPL 4 (12.1)
 >400% FPL 6 (18.2)
 Missing (no income provided) 6 (18.2)
Education
 Less than high school 5 (15.2)
 High school diploma or GED 13 (39.4)
 Vocational or 2-year degree 9 (27.3)
 4-year college degree 2 (6.1)
 Advanced or graduate degree 4 (12.1)
Screening status
 Mental health only 18 (54.5)
 Substance abuse only 9 (27.3)
 Co-occurring conditions 6 (18.2)
a

No participants reported Hispanic/Latino or black ethnicity.

b

Rurality determined using RUCA codes.27,28 Urban includes metropolitan cores and commuting patterns to areas with populations of 50,000 or more. Rural includes areas with populations of 49,999 or fewer, excluding AI tribal lands. The reservation category is distinct from the rural geographic cluster and includes zip codes fully or partially overlapping with AI tribal lands.