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. Author manuscript; available in PMC: 2021 Jan 25.
Published in final edited form as: Qual Life Res. 2019 Jan 10;28(6):1465–1475. doi: 10.1007/s11136-019-02103-1

Table 1.

Participant characteristics by health-related quality of life group

HRQOL groups
PCS < 50, MCS < 50 PCS < 50, MCS ≥ 50 PCS ≥ 50, MCS < 50 PCS ≥ 50, MCS ≥ 50 p value
N 2466 7706 1936 10,121
Key predictors
 SF-12 physical component score, median (IQR)a 37.8 (30.1, 44.3) 42.4 (34.1, 47.1) 56.0 (53.3, 58.9) 54.8 (52.8, 56.2) <0.001
 SF-12 mental component score, median (IQR)b 41.7 (35.3, 46.9) 58.6 (55.5, 61.2) 43.3 (36.4, 47.5) 57.8 (55.5, 58.8) <0.001
Sociodemographic factors Age, mean (SD) 62.4 (9.5) 65.4 (9.3) 61.4 (9.0) 63.3 (8.9) <0.001
 Black race, N (%) 1364 (55.3%) 3387 (44.0%) 762 (39.4%) 3687 (36.4%) <0.001
 Male, N (%) 682 (27.7%) 2902 (37.7%) 672 (34.7%) 4966 (49.1%) <0.001
 HPSA status (partial or complete), N (%)c 1038 (42.1%) 3268 (42.4%) 858 (44.3%) 4165 (41.2%) 0.053
 Southeast region (stroke belt or buckle), N (%)d 1519 (61.6%) 4390 (57.0%) 995 (51.4%) 5417 (53.5%) <0.001
 Low annual household income (< $35,000), N (%) 1496 (60.7%) 3545 (46.0%) 768 (39.7%) 2989 (29.5%) <0.001
 Lack of health insurance, N (%) 289 (11.7%) 489 (6.3%) 203 (10.5%) 613 (6.1%) <0.001
 Low education (< high school), N (%) 562 (22.8%) 954 (12.4%) 171 (8.8%) 647 (6.4%) <0.001
 Relationship status, N (%)
  Married 1088 (44.1%) 4384 (56.9%) 1002 (51.8%) 6732 (66.5%) <0.001
  Widowed 573 (23.2%) 1588 (20.6%) 343 (17.7%) 1404 (13.9%)
  Divorced 506 (20.5%) 1160 (15.1%) 374 (19.3%) 1351 (13.3%)
  Single 183 (7.4%) 409 (5.3%) 160 (8.3%) 476 (4.7%)
Health behaviors
 Cigarette smoking (current smoker), N (%) 546 (22.1%) 1004 (13.0%) 389 (20.1%) 1136 (11.2%) <0.001
 Alcohol use, N (%)
  Moderate drinking 604 (24.5%) 2302 (29.9%) 724 (37.4%) 3912 (38.7%) <0.001
  Heavy drinking 79 (3.2%) 257 (3.3%) 124 (6.4%) 488 (4.8%)
Medical risk factors
 Diabetes, N (%) 710 (28.8%) 1769 (23.0%) 245 (12.7%) 1213 (12.0%) <0.001
 Hypertension, N (%)e 1654 (67.1%) 4875 (63.3%) 902 (46.6%) 4728 (46.7%) <0.001
 Atrial fibrillation, N (%) 256 (10.4%) 640 (8.3%) 98 (5.1%) 414 (4.1%) <0.001
 Left ventricular hypertrophy, N (%) 104 (4.2%) 232 (3.0%) 41 (2.1%) 196 (1.9%) <0.001
Medication use
 Pulmonary medications, N (%) 337 (13.7%) 839 (10.9%) 129 (6.7%) 591 (5.8%) <0.001
 Antihypertensive medications, N (%) 1641 (66.5%) 4878 (63.3%) 848 (43.8%) 4455 (44.0%) <0.001
 Statins, N (%) 681 (27.6%) 2160 (28.0%) 390 (20.1%) 2312 (22.8%) <0.001
Physiological factors
 Body mass index, mean (SD)f 31.5 (7.4) 30.6 (6.7) 28.5 (5.7) 27.9 (5.1) <0.001
 High density lipoprotein cholesterol, median (IQR) 50.0 (41.0, 61.0) 50.0 (41.0, 61.0) 52.0 (42.0, 64.0) 51.0 (41.0, 63.0) <0.001
 Low density lipoprotein cholesterol, median (IQR) 114.0 (93.0, 138.0) 112.0 (91.0, 136.0) 118.0 (96.0, 141.0) 116.0 (95.0, 138.0) <0.001
 C-reactive protein, mean (SD)g 1.2 (1.2) 0.9 (1.2) 0.7 (1.2) 0.6 (1.1) <0.001
 Urinary albumin/creatinine ratio (mg/g), mean (SD)g 2.5 (1.4) 2.4 (1.2) 2.2 (1.0) 2.1 (1.0) <0.001
Estimated GFR, median (IQR)h 92.8 (75.4, 103.6) 87.9 (73.1, 98.9) 92.4 (78.7, 101.4) 89.5 (77.5, 98.9) <0.001

p values correspond with ANOVA for continuous variables that are normally distributed, Wilcoxon rank-sum (two groups) or Kruskal–Wallis (> 2 groups) for continuous variables that are skewed, and Pearson’s Chi squared or Fisher’s exact test for binary and categorical variables

a

Ranges from 0 to 100 and a higher score indicate better physical health

b

Ranges from 0 to 100 and a higher score indicate better mental health

c

HPSA—Health Professional Shortage Area

d

REGARDS study oversampled residents from the stroke belt (Alabama, Arkansas, Louisiana, Mississippi, Tennessee, and the non-coastal regions in North Carolina, South Carolina, and Georgia) and the stroke buckle (the coastal regions within North Carolina, South Carolina, and Georgia)

e

Calculated based on self-reported hypertension, in-home visit SBP ≥ 140 or DBP ≥ 90, or self-reported current medication use to control blood pressure

f

Calculated as weight in kilograms divided by height in meters squared

g

Log-transformed variable

h

Estimated GFR from the CKD-Epi equation