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Fitness And Health
Physical activity and cardiovascular risk factors: effect of advice
from an exercise specialist in Australian general practice
Julie A Halbert, Christopher A Silagy, Paul M Finucane, Robert T
Withers and Phil A Hamdorf
MJA 2000; 173: 84-87
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Abstract |
Objective: To determine whether provision of
individualised physical activity advice by an exercise specialist
in general practice is effective in modifying physical activity and
cardiovascular risk factors in older adults.
Design: Randomised controlled trial of individualised
physical activity advice, reinforced at three and six months
(intervention) versus no advice (control).
Setting: Two general practices in Adelaide, South
Australia, 1996.
Participants: 299 adults aged 60 years or more who were
healthy, sedentary and living in the community.
Main outcome measures: Changes to physical activity
(frequency and duration of walking and vigorous exercise), selected
cardiovascular risk factors (blood pressure, body weight, serum
lipid levels) and quality of life over 12 months.
Results: Self-reported physical activity increased
over the 12 months in both groups (P < 0.001). The increase
was greater for the intervention than the control group for all
measures except time spent walking (P < 0.05). More
intervention than control participants increased their intention
to exercise (P < 0.001). Serum levels of total and
low-density lipoprotein cholesterol and triglycerides fell
significantly over the 12 months to a similar extent in the two groups.
No other significant changes in cardiovascular risk factors were
seen. Quality-of-life scores decreased over the 12 months. The
decrease was significantly greater among intervention than control
women, but not men, for emotional well-being (P = 0.02),
physical well-being (P = 0.04) and social functioning (P
= 0.04).
Discussion: Provision of general practice-based
physical activity advice reinforced three-monthly produced a
sustained increase in self-reported physical activity. However,
there were no associated changes in clinical measures of
cardiovascular risk factors and minimal changes in quality-of-life
measures.
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A large body of evidence shows that all-cause mortality and death and
disability from cardiovascular disease decrease with regular
physical activity1 and physical
fitness.2 Leisure-time activity also
reduces coronary risk factors,3 and the greatest decrease is
achieved by moving individuals from the sedentary, low-fitness
category.4,5
Among Australians aged over 60 years, 55% of men and 61% of women are not
sufficiently active to maintain general health.6 Encouragingly,
a Western Australian survey found that 93% of general practitioners
(GPs) reported asking about physical activity when a patient
presented with a condition that might benefit from exercise, and 50%
asked new patients about current physical activity
patterns.7 However, GPs comment on a
lack of skill in assessing and guiding activity and a lack of
guidelines.8 Although many believe
referral to a qualified fitness professional is desirable, fewer
than 15% make these referrals.9
Previous studies of interventions to increase provision of
advice and patients' physical activity in primary care have
had mixed results and are of varying methodological
quality.10 To reduce the demand on
GPs, several groups have examined the effectiveness of advice from
practice staff. Results of advice from a health visitor were
initially favourable but were not sustained,11 while advice from
practice nurses produced no increases in objectively
measured12 or
self-reported13 exercise levels in the
short term.
Therefore, we designed a properly powered study to determine the
effectiveness of individualised advice from an exercise specialist
in a general practice setting on changing physical activity levels
and cardiovascular risk factors at 12-month follow-up.
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| Methods |
The study was a randomised, controlled trial. Ethics approval was
granted by the Committee on Clinical Investigation, Flinders
Medical Centre, Adelaide.
| |
Recruitment and baseline measures | |
Sedentary adults aged 60 years or over who lived in the community were
recruited from two general practices in the southern region of
Adelaide, South Australia, in 1996, as described
previously.14 Briefly, 2878 people who
met the above criteria were invited to a screening appointment; 913
attended and completed a questionnaire on demographic
characteristics, medical history, medication use and physical
activity levels.
Exclusion criteria included a cerebrovascular or ischaemic cardiac
event in the previous six months, malignancy or other
life-threatening disease, inability to comply with the
requirements of the study, a condition for which physical activity
was contraindicated, use of β-blocker medication, and regular
physical activity, leaving 351 people eligible.
These 351 were invited to attend a baseline appointment at which they
signed a consent form and were randomly allocated to the intervention
or control groups using sealed opaque envelopes. They also answered a
written questionnaire about current physical activity levels,
intention-to-exercise,15 quality of life (assessed
by the Short Form 3616) and demographic
information. Blood pressure, body weight and height were measured,
and a blood sample was taken for lipid studies.
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Interventions |
Both groups had a 20-minute session with an exercise specialist (with
a master's degree in exercise physiology; J A H). Spouses were invited
to attend these and follow-up sessions, which were held at the
participants' usual GP surgeries.
The intervention group received individualised advice about the
benefits of physical activity and a pamphlet containing a plan for
physical activity for the next three months. This plan, based on
current position statements,17,18 involved aerobic
activities at moderate intensity for a minimum of three sessions per
week for at least 20 minutes per session, with self-monitoring of
heart rate.
The exercise plan, potential barriers to exercise and strategies to
overcome these were discussed. The focus was on incorporating
physical activity into the individual's usual activities and on
increasing "self-efficacy" (belief in one's ability to perform the
activity) by recommending a preferred, familiar activity
and setting modest targets for the first three months. These targets
were to be progressively increased, depending on progress,
enthusiasm and health.
The control group received a pamphlet promoting good nutrition for
older adults, which was discussed for 20 minutes.
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Follow-up |
At three and six months, all participants were mailed a follow-up
questionnaire to be returned in a postage paid envelope (control
participants) or at an interview (intervention participants). This
interview was arranged by telephone, and intervention participants
were encouraged to attend whatever their adherence to the exercise
plan. Participants were also asked to complete a seven-day physical
activity log as a prompt for discussion, which included physical
activity levels and benefits, reasons for success or failure,
injuries, heart-rate monitoring and changes to the plan.
At 12 months, all participants were invited to a follow-up interview,
at which they completed a questionnaire, and clinical
characteristics (except height) were remeasured.
Energy expenditure was measured for 59 participants (31
intervention and 28 control participants) over four days (two
weekends and two weekdays) using a Caltrac portable, vertical
accelerometer.19 These 59 were recruited by
telephoning randomly selected participants until six volunteers
per week were obtained (a total of 88 were telephoned).
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Statistical analyses | |
Sample size calculations indicated that 212 people were required to
detect a 5 mm Hg difference in systolic blood pressure between the
intervention and control group using a parallel group design
(assuming a power of 0.9 and type I error rate of 0.05). Targeting 300
subjects allowed for a 40% dropout and non-compliance rate.
Assumptions for parametric analysis were investigated.
Repeated-measures analyses of variance were used to examine data for
physical activity and five quality-of-life scores, using time as the
within-subject variable, and time, intervention and sex as the
between-subject variables. As data for three quality-of-life
scales (roles physical and emotional and social functioning) were
non-continuous and skewed, they were dichotomised (score of 100 = 0,
score < 100 = 1) and then analysed with generalised estimating
equations -- an extension of generalised linear models -- to examine
time, intervention and sex interactions.20 Twelve-month changes in
clinical characteristics, quality-of-life and accelerometer
results were analysed with Student's t tests (independent
samples). Intention-to-exercise data were analysed with
2
statistics. All data were analysed on an intention-to-treat basis.
In the event of missing responses, data were entered at the previous
follow-up, thereby assuming no change.
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| Results |
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Participants |
Of the 351 people eligible for the study, 299 attended the baseline
interview and were randomised (149 to the intervention group and 150
to the control group). Their characteristics have been reported
previously.14 There were no
statistically significant differences between the intervention
and control groups in age (mean age, 67.3 years [SD, 7.9 years] versus
67.8 years [SD, 5.5 years]), sex distribution (48% versus 44% men),
current and past medical history and current medication use or
clinical parameters at baseline (Box 1).
Three- and six-month follow-up questionnaires were returned by 274
(92%) and 269 (90%) participants, respectively, while 264 (88%)
attended the 12-month follow-up interview (123 in the intervention
and 141 in the control group). Of the 35 who did not attend, two had died,
six were on holidays, seven were ill, and 20 were not interested. There
were no statistically significant differences in baseline clinical
and sociodemographic measures between participants who attended
the 12-month follow-up interview and those who did not.
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Physical activity | |
At all three follow-ups, all self-reported measures of physical
activity had increased significantly from baseline levels in both
the intervention and control groups (P < 0.05; Box 2).
However, the intervention group reported significantly more
physical activity than the control group for all measures except time
spent walking (P < 0.05). Men reported significantly more
minutes of walking per session (P = 0.02) and more frequent
vigorous exercise (P = 0.02) than women at all follow-ups. In
addition, the difference in frequency of vigorous exercise between
the intervention and control groups was significantly greater for
men than for women (P < 0.001).
Energy expenditure data were available for 59 participants who wore
an accelerometer (31 intervention and 28 control participants). The
intervention and control groups did not differ significantly in any
measured parameter of energy expenditure -- total per day, per day as a
percentage of total energy expenditure, during activity per day, or
during activity per kg body weight.
At all follow-ups, there were significant differences between the
intervention and control groups for change in intention to exercise
(P < 0.001). At 12-month follow-up, more intervention
than control participants increased their intention to exercise
(Box 3).
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Cardiovascular risk factors | |
Over the 12 months, there were no statistically significant changes
in body weight, resting heart rate, blood pressure or serum
high-density lipoprotein levels in either the control or
intervention group (Box 1). However, there were significant
decreases in serum levels of total and low-density lipoprotein
cholesterol and triglycerides in both groups; the decreases did not
differ significantly between the two. In addition, body
weight decreased for all men and for control-group women, but
increased for intervention-group women (P = 0.01).
| |
Quality of life | |
Quality-of-life scores decreased between baseline and 12-month
follow-up in both the intervention and control groups. These score
decreases were significant in both groups for bodily pain (P =
0.001), general health (P < 0.001), physical
functioning (P < 0.001), vitality (P = 0.04) and
role physical (odds ratio [OR], 1.80; 95% CI, 1.33-2.43).
Women in the intervention group had significantly greater score
decreases than women in the control group for the scales role
emotional (P = 0.02), role physical (P = 0.04) and
social functioning (P = 0.04). In addition, women
reported worse scores at 12-month follow-up than men for bodily pain
(P = 0.02), mental health (P = 0.03), physical
functioning (P = 0.04) and vitality (P = 0.01), and
were 1.5 times more likely to report some difficulty with role
physical (OR, 1.43; 95% CI, 1.03-1.99) and social functioning (OR
1.53; 95% CI, 1.06-2.21).
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| Discussion |
This randomised controlled trial showed that provision of physical
activity advice by an exercise specialist was effective in
increasing the intention to exercise and self-reported physical
activity among patients 60 years and over in two general practices.
Other studies have also found increased intention to
exercise14 and increased physical
activity levels12,21 as a consequence of
physical activity advice.
However, our study differs from most others in that it had a large
number of participants and high retention rate (88% at 12 months), and
calculated results on an intention-to-treat basis. The high
retention rate possibly resulted from participants' strong
association with their GPs, who were aware and possibly encouraging
of their participation, and the fact that all visits were conducted at
the GPs' practices. The success of the intervention may be attributed
to the enthusiastic volunteer population, who, while sedentary,
were keen to start regular activity. Another possible contributor
was the strong emphasis on walking as the preferred activity.
The physical activity advice had the characteristics of
successful physical activity interventions -- a home-based
program, comprising unsupervised, informal exercise (generally
walking), of moderate intensity and comparatively low frequency
(which is associated with better maintenance), as well as frequent
professional contact.22
The major limitation of this study was its reliance on self-report, as
patients over 65 years tend to overestimate their physical
activity.12 The number of
participants and limited resources precluded general use of more
objective measures of physical activity or fitness. Objective
measurements of energy expenditure by accelerometer in 59
volunteers did not detect a difference between the control and
intervention groups, possibly because of the small sample size.
Other possible reasons are that people in each group who had
established regular physical activity volunteered preferentially
for accelerometer measurement, or that the self-reported increase
in physical activity in the intervention group was not real.
We were also unable to detect any differences between the
intervention and control groups in cardiovascular risk factors
after 12 months. This is consistent with results of others. For
example, patients referred by their GPs to a local leisure centre had
increased self-reported physical activity after 37 weeks, but no
changes in systolic or diastolic blood pressures or body mass
index.23 In our study, the increase
in self-reported physical activity in the intervention group was
possibly not large enough to increase physical fitness. Previous
investigators have shown that cardiovascular risk factors are more
strongly related to physical fitness than to physical
activity,4,5 and that, in
individuals with low levels of fitness, increased physical activity
without a change in fitness does not modify cardiovascular risk
factors.24 Further, although the
difference in physical activity between the intervention and
control groups reached statistical significance, it was modest in
absolute terms. Finally, all participants remained under the usual
care of their GPs, who were free to initiate or cease prescribing
medications that might modify cardiovascular risk factors.
We found declines in quality of life from baseline to 12 months in both
groups, with the greatest change in the first three months. We
hypothesise that quality of life was more accurately reported at
three months than at baseline, when scores were much higher than the
Australian norms for the participants' age. It is possible that
participants were initially keen to present themselves as healthy in
all respects or that they were expressing high hopes for the study.
In conclusion, this study showed that, for a specific population of
general practice patients, providing physical activity advice
three-monthly for six months resulted in increases to both
self-reported physical activity and intention to exercise, which
were maintained at 12-month follow-up. Further research in primary
care is needed to determine whether these changes apply to other
groups and whether they confer significant health benefits.
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Acknowledgements | |
This project was funded by a Public Health Research and Development
Project Grant from the National Health and Medical Research Council
and Department of Health, Housing, Local Government and Community
Services. We wish to thank the GPs and staff from Blackwood and
Flinders Clinics, Adelaide, SA, for their assistance and Lynne Giles
(Flinders University, Adelaide, SA) for statistical
advice.
Conflict of interest: None.
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References | |
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Blair SN, Kohl HW, Paffenbarger RS, et al. Physical fitness and
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Folsom AR, Caspersen CJ, Taylor HL, et al. Leisure time physical
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Eaton CB, Lapane KL, Garber CE, et al. Physical activity, physical
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Lochen M-L, Rasmussen K. The Tromso study: physical fitness,
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Active Australia. Physical activity levels of Australians.
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Bull FCL, Schipper ECC, Jamrozik K, Blanksby BA. Beliefs and
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Murphy B, Ruth D. GPs role in CVD Prevention. A report on focus group
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Bull FCL, Schipper ECC, Jamrozik K, Blanksby BA. How can and do
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Eaton CB, Menard LM. A systematic review of physical activity
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Harland J, White M, Drinkwater C, et al. The Newcastle exercise
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Sims J, Smith F, Duffy A, Hilton S. The vagaries of self-report of
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Halbert JA, Silagy CA, Finucane P, et al. Recruitment of older
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Marcus BH, Banspach SW. Using the stages of change model to
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Ware JE, Snow KK, Kosinski M, Gandek B. SF-36 health survey manual
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(Received 4 Feb, accepted 4 May, 2000)
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Authors' details | |
Department of Rehabilitation and Aged Care, Flinders University of
South Australia, Adelaide, SA.
Julie A Halbert, MSc, Research Manager; Paul M Finucane,
FRCPI, FRACP, Head.
Monash Medical Centre, Melbourne, VIC.
Christopher A Silagy, PhD, FRACGP, FAFPHM, Head of Institute
of Public Health and Health Services Research.
School of Education, Flinders University of South Australia,
Adelaide, SA.
Robert T Withers, PhD, FASMF, FACSM, Senior Lecturer in
Rehabilitation.
Hampstead Centre, Royal Adelaide Hospital, Adelaide, SA.
Phil A Hamdorf, PhD, Head of Centre for Physical Activity in
Ageing.
Reprints will not be available from the authors. Correspondence: Ms J
A Halbert, Department of Rehabilitation and Aged Care, Repatriation
General Hospital, Daw Park, SA 5041.
julie.halbertATflinders.edu.au
©MJA 2000
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| 1: Clinical measures at baseline
and 12-month follow-up (mean and 95% confidence interval) |
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Control group (n=150) |
Intervention group (n=149)
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Baseline |
12 months |
Baseline |
12 months |
|
Body weight (kg)
Height (cm)
Resting heart rate (bpm) |
74.0 (71.8-76.1)
165.8 (164.4-167.2)
71.3 (69.7-72.9) |
73.6 (71.5-75.8)
ND
71.6 (70.0-73.2) |
75.9 (73.8-78.0)
166.9 (165.5-168.4)
70.9 (69.1-72.6) |
76.0 (73.9-78.1)
ND
71.1 (69.6-72.6) |
Blood pressure (mm Hg)
Systolic
Diastolic |
148.1 (145.1-151.0)
85.7 (84.2-87.1) |
146.6 (143.4-149.6)
86.3 (84.9-87.7) |
148.6 (145.9-151.4)
85.6 (84.1-87.1) |
147.4 (144.4-150.5)
86.1 (84.6-87.7) |
Serum levels (mmol/L)
Total cholesterol
Triglycerides
HDL cholesterol
LDL cholesterol |
5.88 (5.73-6.03)
1.64 (1.50-1.78)
1.34 (1.27-1.40)
3.81 (3.67-3.95) |
5.70 (5.55-5.85)*
1.57 (1.43-1.70)*
1.34 (1.28-1.41)
3.65 (3.52-3.80)* |
5.85 (5.68-6.02)
1.70 (1.50-1.89)
1.30 (1.24-1.37)
3.78 (3.65-3.95) |
5.63 (5.47-5.80)*
1.57 (1.42-1.73)*
1.29 (1.23-1.35)
3.64 (3.50-3.79)* |
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| *Significant decrease from baseline
level (P<0.05). HDL=high-density lipoprotein. LDL=low-density lipoprotein.
ND=measurement not done. |
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| Back to text |
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| 2: Self-reported physical activity at baseline
and follow-up (median value and 25th-75th percentile) |
|
Control
group (n=150) |
Intervention
group (n=149) |
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Baseline |
3 months |
6 months |
12 months |
|
Walking
Frequency (sessions/week)
Time (mins/session) |
0 (0-2)
0 (0-20) |
2 (0-3)*
30 (0-49)* |
2 (0-4)*
30 (0-60)* |
2 (1-3)*
30 (10-60)* |
Vigorous exercise
Frequency (sessions/week)
Time (mins/sessions) |
0 (0-0)
0 (0-0) |
0 (0-1)*
0 (0-16)* |
0 (0-2)*
0 (0-21)* |
0 (0-1)*
0 (0-15)* |
Walking
Frequency (sessions/week)
Time (mins/session) |
0 (0-1)
0 (0-25) |
3 (1-4)*
30 (19-50)* |
3 (2-4)*
30 (20-60)* |
3 (1-4)*
30 (10-60)* |
Vigorous exercise
Frequency (sessions/week)
Time (mins/sessions) |
0 (0-0)
0 (0-0) |
2 (0-3)*
20 (0-35)* |
2 (0-3)*
20 (0-40)* |
2 (0-3)*
20 (0-35)* |
|
| *Statistically significant increase from baseline
level (P<0.05). Values significantly higher than for control group (P<0.05). |
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| Back to text |
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