The Use of Telehealth Technology in Assessing the Accuracy of Self-Reported Weight and the Impact of a Daily Immediate-Feedback Intervention among Obese Employees
Table 1
Descriptive characteristics of all participants at baseline.
Intervention
Control
P
n
45
55
Age (years)
44.5 (1.4)
47.7 (1.1)
.065
Female
93.3%
89.1%
.461
Hispanic ethnicity
2.2%
0%
.266
Race
American/Alaskan native
0.0%
5.5%
Black/African American
8.9%
5.5%
Native Hawaiian/Pacific Islander
2.2%
0.0%
.373
White
84.4%
87.3%
Multiracial
2.2%
1.8%
Unknown or unspecified
2.2%
0.0%
Non-Hispanic White
84.4%
87.3%
.685
Marital status
Never married
15.6%
12.7%
Married, living with partner
71.1%
67.3%
.576
Divorced
13.3%
16.4%
Widowed
0.0%
3.6%
Education level
High school diploma or GED
4.4%
3.6%
Technical or associate’s
28.9%
25.5%
Some college
26.7%
18.2%
.688
Bachelor’s degree
26.7%
40.0%
Graduate degree
13.3%
12.7%
Annual household income
15,000–29,999
0.0%
1.9%
30,000–44,999
20.0%
13.0%
45,000–59,999
13.3%
13.0%
.873
60,000–74,999
13.3%
16.7%
75,000–89,999
20.0%
22.2%
90,000+
33.3%
33.3%
Measured weight (lbs)
238.7 (5.7)
227.0 (4.4)
.102
Body mass index (kg/m2)
39.2 (0.9)
37.6 (0.6)
.152
Self-reported weight (lbs)
237.3 (5.7)
224.7 (4.3)
.078
Ideal weight (lbs)
154.3 (3.1)
154.0 (2.7)
.943
Ever dieted to lose weight (yes)
100%
94.6%
.112
Weight loss program participation in last 2 years (yes)
37.8%
56.4%
.064
Values are reported as mean ± standard error or frequency (% of column total).
