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. 2009 May 20;6:26. doi: 10.1186/1479-5868-6-26

Table 1.

Participation levels and determinants of participation in educational or counselling worksite health promotion programmes

Study Study
design
Study
population
Worksite health
promotion programme
Participation
level
Determinants
of participation
OR [95%CI]
Franklin 2006 [16] cohort Employees of an insurance company (n = 960) Daily e-mail messages
with links self-monitoring
on nutrition and physical
activity over 6 months.
40% (n = 388)
(n = 345 completed
baseline health survey)
male gender
age (30–49)
age (50+)
white ethnicity
married
income, $30.000–$59.999
income, > $59.999
0.34 [0.24–0.49]*
1.30 [0.72–2.33]
1.47 [0.79–2.74]
1.22 [0.78–1.93]
1.43 [1.08–1.91]*
1.50 [1.08–2.09]*
0.90 [0.58–1.41]
Thomas 2006
[20]
cohort Government employees
(n = 3500)
1 information session with goal
setting and subsequent
pedometer use and e-mail support
to increase physical activity
over 4 weeks.
34% (n = 1195)
(n = 927 provided
demographic information)
male gender
age (30–49)
age (50+)
0.46 [0.39–0.54]*
0.73 [0.60–0.89]*
0.82 [0.66–1.02]
McCarty 2005
[19]
cohort Employees of a health care system
(n = 6539)
Self-monitoring and weekly e-mail support
to increase physical activity and
a healthy diet over a 16-week period
17% (n = 1129) male gender 0.10 [0.08–0.14]*
Marshall 2003
[17]
RCT University employees
(n = 1409, results on
n = 800 responded to questionnaire)
8 week programme with printed (I1)
or website (I2) education
and 4 reinforcement moments
respectively by letter and e-mail.
46% (n = 655) male gender
age (yrs, mean)
intermediate or high education
married
BMI (kg/m2, mean)
good or excellent general health
full-time employment
academic job classification
0.77 [0.53–1.10]
Δ = 0 yrs; d = 0.00
0.70 [0.46–1.07]
1.15 [0.78–1.70]
Δ = 1 kg/m2; d = 0.14
0.69 [0.37–1.27]
0.69 [0.41–1.16]
0.79 [0.55–1.14]
Cornfeld 2002
[15]
cohort Employees and spouses of 6 companies
(n = 21396)
1-time health risk assessment
with personalized feedback
letters on cancer risk factors
21% (n = 4395) male gender
age (yrs, mean)
Caucasian ethnicity
1.16 [1.09–1.24]*
P: 44.8; all: 43.0
4.05 [3.52–4.67]*
Gold
2000
[21]
nonrandomized
controlled trial
Employees of 6 organizations from
the private and public sector
(n = 1741)
Education materials, followed by 6-monthly
telephone counselling sessions for 12 to 24
months on 7 risk areas (physical activity,
nutrition, weight, smoking, stress management,
back care, and cholesterol control)
35% (n = 607) male gender
age (yrs, mean)
# health risks (lifestyle areas, 0–13)
1.13 [0.93–1.38]
Δ = -1 yr
Δ = -0.34 health risks*
Blake
1996
[14]
cohort
community intervention trial
Employees in businesses participating
in the Minnesota Heart Health Program
intervention (n = 17626)
3 exercise competitions between
companies with recording the
type and minutes of daily exercise.
37% (n = 6495) male gender
company size, 45–500 employees
company size, > 500 employees
0.28 [0.26–0.31]*
0.22 [0.19–0.25]*
0.09 [0.08–0.10]*
Hooper 1995
[22]
cross-sectional University employees and spouses
(n = 338)
Self-monitoring to increase
physical activity over
a period of 20 weeks.
30% (n = 103) male gender
higher education
white ethnicity
married
full-time employment
faculty employees
1.20 [0.70–2.07]
1.06 [0.66–1.71]
1.18 [0.45–3.11]
0.91 [0.50–1.66]
1.86 [1.01–3.43]*
0.68 [0.40–1.13]
Baer
1993
[13]
Nonrandomized controlled trial Management-level male employees with
elevated total cholesterol levels
(n = 70)
An individual instruction,
every 3 months group meetings,
and monthly telephone support to
decrease cholesterol level.
47% (n = 33) age (yrs, mean)
aerobic activity (days/wk, mean)
cholesterol level > 6.17
weight (kg, mean)
% body fat (mean)
non smoker
Δ = 9 yrs*; d = 2.55
Δ = 0 days/wk; d = 0.00
14.3 [4.2–50.0]*
Δ = 1 kg; d = 0.39
Δ = 1%; d = 0.24
3.00 [0.56–16.03]
Mavis
1992
[18]
cross-sectional Stratified sample of university employees
(n = 110 invited, 81% response)
Health fair and health habit modification
programmes on exercise, weight control,
stress management and smoking cessation.
25% of respondents
(n = 22)
male gender
age (yrs, mean)
married/cohabiting
income above $30.000
faculty employees (vs clerical/support)
0.30 [0.11–0.83]*
Δ = 5.6*
1.89 [0.70–5.11]
0.62 [0.19–2.03]
0.11 [0.02–0.60]*