Skip to main content
. 2021 Jul 1;9(7):838. doi: 10.3390/healthcare9070838

Table 1.

Descriptive statistics of the study population (n = 382).

Variable Characteristics Mean ± SD n (%)
Age - 43.9 ± 18.3 -
Sex Female - 192 (50.3)
Male - 189 (49.5)
Race White/Caucasian - 272 (71.2)
Non-white - 110 (28.8)
Ethnicity Hispanic - 66 (17.3)
Non-Hispanic - 316 (82.7)
Employment Yes - 177 (46.3)
No - 205 (53.7)
Number of hours worked weekly * Income - 36.1 ± 25.3 -
<$25,000 - 99 (25.9)
$25,001–$50,000 - 92 (24.1)
$50,001–$75,000 - 77 (20.2)
$75,001–$100,000 - 37 (9.7)
$100,001–$125,000 - 24 (6.3)
>$125,000 - 33 (8.7)
Prefer not to answer - 20 (5.2)
Residence Rural - 111(29.1)
Semiurban - 129 (33.8)
Urban - 142 (37.1)
Health insurance Yes - 325 (85.1)
No - 57 (14.9)
Marital status Married - 170 (44.5)
Never married - 117 (30.6)
Divorced/separated - 43 (11.3)
Widowed - 16 (4.2)
Others ** - 36 (9.4)
Smartphone with internet Yes - 357 (93.5)
No - 25 (6.5)
Used new technology during COVID-19 Yes - 227 (59.4)
No - 155 (40.6)
Social isolation Low (score ≤6.0) - 202 (52.9)
High (score > 6.0) - 180 (47.1)
Type of technology used Video conferencing - 48 (12.6)
Smartphone apps - 36 (9.4)
M-health - 11 (2.9)
Other *** - 33 (8.7)
More than one (the combination of the above) - 155 (40.6)
None - 99 (25.9)
Mobile phone Yes - 365 (95.5)
No - 17 (4.5)

* Number of hours were reported by 169 (44.2%) participants only. ** Other categories include a member of unmarried couple+ registered domestic partnership. *** Other categories in a type of technology include Virtual reality, video games, social sharing platforms, and exergames.