Table 1.
Sample characteristics are reported for the analytic sample (n=374).
| Analytic Samplea (n = 374) |
||
|---|---|---|
| Sample characteristics | Mean | SD |
| Light physical activity (minutes/day) | 142.02 | 74.74 |
| Moderate to vigorous physical activity (minutes/day) | 5.75 | 11.62 |
| Individual characteristics | ||
| Wear Time | 868.54 | 120.27 |
| Age | 72.63 | 8.16 |
| Gender (n, % Male participants) | 195 | 52.14% |
| Race (n, % Black participants) | 139 | 37.17% |
| Time since stroke (years) | 10.04 | 8.99 |
| Education (n, %) | ||
| College graduate or more | 125 | 33.42% |
| Some college | 120 | 32.09% |
| High school graduate | 90 | 24.06% |
| Less than high school | 39 | 10.43% |
| Income | ||
| > $75,000 | 47 | 12.57% |
| $35,000 - $74,999 | 118 | 31.55% |
| $20,000 - $34,999 | 112 | 29.95% |
| < $20,000 | 65 | 17.38% |
| Refused | 32 | 8.56% |
| Environmental characteristics | ||
| Population density (n/km2)b | 12.40 | 16.42 |
| Park area (proportion) | 0.04 | 0.08 |
| Food stores (count/km2) | 2.61 | 4.28 |
| Restaurants and eating places (count/km2) | 2.56 | 5.29 |
| Physical activity facilities (count/km2) | 0.28 | 0.68 |
| Department stores (count/km2) | 0.04 | 0.19 |
| General mass merchandise (count/km2) | 0.01 | 0.07 |
| Intellectual stimulation (count/km2) | 0.93 | 1.94 |
| Public rail (count/km2) | 0.09 | 0.76 |
| RUCA codes (n, %) | ||
| Urban | 306 | 81.82% |
| Large rural | 42 | 11.23% |
| Small rural & isolated | 26 | 6.95% |
| Region (n, %) | ||
| Non-stroke belt/buckle | 185 | 49.47% |
| Stroke belt | 116 | 31.02% |
| Stroke buckle | 73 | 19.52% |
| Neighborhood socioeconomic status | −0.81 | 5.11 |
| Personal crime | 183.85 | 155.16 |
| Property crime | 159.84 | 123.59 |
| Extreme cold daysc | 0.36 | 1.40 |
Note. SD=standard deviation; km=kilometer; RUCA=rural-urban community area
a
Post-stroke participants from the REasons for Geographic and Racial Differences in Stroke (REGARDS) cohort, who have valid accelerometry data and no missing covariate data.
b
Summarized in units of 100 people per square kilometer
c
Summarized in units of 10 percent of days with extremely cold temperatures