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. 2011 Feb 15;8(2):A36.

Table 1.

Characteristics of Women Aged 40-64 Years (N = 11,887), by Race/Ethnicity, California Health Interview Survey, 2005

Characteristic Race/Ethnicity, n (%)a

Latina, n = 1,441 Asian, n = 1,120 African American, n = 614 White, n = 8,712
Marital status
Married 820 (64) 844 (79) 185 (36) 4,793 (63)
Widowed, separated, divorced, or living with partner 494 (28) 219 (17) 285 (42) 3,090 (29)
Never married 127 (8) 57 (4) 144 (22) 829 (8)
Born outside United States 902 (70) 954 (88) 41 ( 7) 729 (10)
Place of residence
Large city 617 (53) 603 (58) 330 (62) 1,940 (31)
Small city 422 (24) 199 (16) 158 (19) 2,737 (28)
Suburban area 220 (15) 275 (23) 100 (15) 2,053 (24)
Town or rural area 182 (9) 43 (3) 26 (4) 1,982 (17)
Education
Less than high school graduate 585 (50) 110 (13) 34 (8) 267 (4)
High school graduate, no college 325 (23) 214 (22) 141 (25) 1,648 (24)
Some college 359 (18) 207 (17) 242 (39) 2,785 (31)
College graduate 172 (9) 589 (49) 197 (28) 4,012 (41)
Employed 948 (63) 771 (70) 411 (66) 6,193 (71)
Has health insurance 1,096 (73) 931 (82) 556 (89) 8,029 (93)
% Federal poverty level
0-99 365 (28) 130 (11) 85 (16) 412 (4)
100-199 411 (31) 171 (19) 103 (17) 838 (9)
200-299 181 (13) 126 (11) 76 (11) 881 (10)
≥300 484 (29) 693 (60) 350 (57) 6,581 (76)
Physical activity level
Regular physical activity 359 (23) 293 (26) 143 (22) 2,915 (32)
Some physical activity 903 (66) 710 (65) 380 (61) 4,880 (56)
Sedentary 179 (11) 117 (9) 91 (17) 917 (12)
Body mass index, kg/m2
<18.5 (Underweight) 10 (<1) 52 (4) 7 (<1) 197 (3)
18.5-24.9 (Normal weight) 430 (28) 802 (71) 164 (29) 4,283 (49)
25.0-29.9 (Overweight) 479 (34) 99 (19) 196 (30) 2,390 (27)
≥30.0 (Obese) 522 (38) 67 (7) 247 (41) 184 (21)
Self-rated general health
Excellent 153 (10) 174 (15) 78 (13) 2,445 (27)
Very good 289 (16) 316 (30) 107 (28) 3,062 (35)
Good 449 (31) 344 (30) 197 (30) 1,946 (23)
Fair 409 (33) 213 (17) 128 (21) 878 (10)
Poor 141 (10) 73 (7) 41 (8) 381 (4)
a

Percentages are based on weighted analysis to account for complex sample survey design. Respondents were assigned to racial/ethnic groups on the basis of their responses on the questionnaire and the classification method developed by the University of California, Los Angeles, Center for Health Policy Research (21).