Physical activity and nutrition behavioural outcomes of a home-based intervention program for seniors: a randomized controlled trial
© Burke et al.; licensee BioMed Central Ltd. 2013
Received: 5 March 2012
Accepted: 24 January 2013
Published: 31 January 2013
This intervention aimed to ascertain whether a low-cost, accessible, physical activity and nutrition program could improve physical activity and nutrition behaviours of insufficiently active 60–70 year olds residing in Perth, Australia.
A 6-month home-based randomised controlled trial was conducted on 478 older adults (intervention, n = 248; control, n = 230) of low to medium socioeconomic status. Both intervention and control groups completed postal questionnaires at baseline and post-program, but only the intervention participants received project materials. A modified fat and fibre questionnaire measured nutritional behaviours, whereas physical activity was measured using the International Physical Activity Questionnaire. Generalised estimating equation models were used to assess the repeated outcomes over both time points.
The final sample consisted of 176 intervention participants and 199 controls (response rate 78.5%) with complete data. After controlling for demographic and other confounding factors, the intervention group demonstrated increased participation in strength exercise (p < 0.001), walking (p = 0.029) and vigorous activity (p = 0.015), together with significant reduction in mean sitting time (p < 0.001) relative to controls. Improvements in nutritional behaviours for the intervention group were also evident in terms of fat avoidance (p < 0.001), fat intake (p = 0.021) and prevalence of frequent fruit intake (p = 0.008).
A minimal contact, low-cost and home-based physical activity program can positively influence seniors’ physical activity and nutrition behaviours.
anzctr.org.au Identifier: ACTRN12609000735257
KeywordsFat avoidance Fibre intake Fruit intake Goal setting Sitting Strength exercise Vegetable intake Walking
Physical activity is known to decline with age . In Australia, 51% of the older population aged 60 to 75 years are insufficiently active, with the highest prevalence of inactive behaviour being reported in adults over 75 years of age . Similarly, rates of physical activity among American adults aged 65 years and older are low, with only 20% of women and 25% of men meeting the national recommended physical activity guidelines , while 26% of those in the 65–74 age group are inactive . Research has demonstrated that sedentary behaviours may be linked to obesity, cardiovascular diseases and type 2 diabetes [5–11]. Moreover, as people age, their nutritional requirements change and energy requirements decrease. Older adults should consume nutritious foods that are high in fibre and low in saturated fats to help maintain a healthy weight . However, worldwide trends are shifting towards an increased consumption of energy-dense foods rich in saturated fats and sugars , leading to energy imbalance and rise in diet related diseases .
In the literature, intervention programs designed to improve physical activity levels or dietary habits have used a variety of strategies including workbooks, calendars, telephone counselling, goal setting and pedometers [15–19]. Although interventions combining physical activity and nutrition appear to result in better outcomes than those focusing on either aspect alone [17, 19], there is limited evidence on home-based interventions in terms of improving both physical activity and nutritional behaviours among people aged 60–70 years [20–22]. Moreover, research involving seniors has generally been undertaken with a small sample size [18, 19, 23], or targeting those with a specific chronic disease [15, 19, 23]. Another limitation is that the participants recruited were generally self-referrals and volunteers [17, 18, 24] as opposed to being randomly selected samples. Therefore, there is an urgent need to develop well-designed interventions that overcome such shortcomings .
The Physical Activity and Nutrition for Seniors (PANS) program attempted to improve both physical activity and nutritional behaviours. It was a low-cost and accessible home-based intervention targeting insufficiently active low to middle income older adults aged 60–70 years who could semi-tailor the program to suit their own pace and needs . We targeted these “baby boomers” (60–70 year olds) because they contribute to the fast growing segment of the population who are retired or near retirement. The aim of the present study was to determine whether the PANS intervention was effective with respect to the main outcome measures of self-reported physical activity and nutritional behaviours. The findings have important implications for the control and prevention of overweight and obesity in the older population.
PANS was a 6-month two-arm randomised controlled trial collecting data at two time points (baseline; post intervention). The project protocol was approved by the Human Research Ethics Committee of Curtin University (approval number HR 186/2008) and written consent was obtained from all participants.
The intervention was developed using Social Cognitive Theory [29, 30] and the Precede-Proceed Model  incorporating voluntary cooperation and self-efficacy [29, 32], and based on a pilot project  that produced encouraging results with respect to adherence and behaviour change [33, 34]. Further revisions were made after extensive formative research . Such formative data from representatives of the target group confirmed the preference for a flexible, home-based program, whereby participants would be able to set their own goals and semi-tailor the intervention to better suit their own needs .
The main resource of the home-based program was a booklet specially designed for seniors that provided physical activity and nutrition recommendations and encouraged goal setting. The booklet was supported by an exercise chart, calendar, bi-monthly newsletters, resistance band and pedometer, along with telephone and email contact by program guides. Frequency of telephone contact varied, as some participants requested only phone contact or information via email. Participants generally received between six to 10 phone calls and/or two to five emails over the 6-month period. The protocol of the intervention has been described in detail elsewhere . The control group received baseline and post-intervention questionnaires at the same time as the PANS participants, and both groups were given a small token of appreciation upon completion and return of the postal questionnaires.
The intervention was funded for A$400,000 over a three-year period. The estimated costs to replicate the intervention include salary for a part-time coordinator (A$180,000) and a research assistant (A$150,000), intervention materials (A$23,500) and incentives (A$7,000), postage (A$1,500), telephone calls (A$3,500), program guide reimbursement (A$6,500), guide manuals (A$500), administration costs (A$5,000) and printing of questionnaires (A$2,500).
The self-completion questionnaire consisted of previously validated instruments on physical activity and sitting behaviour  and nutrition behaviours , along with demographic and personal characteristics including gender, age, education level, marital status, tobacco smoking and alcohol consumption. The instrument was reviewed by experts in the field, underwent test re-test, and found to possess moderate to high intra-class correlation (0.62-0.95). The International Physical Activity Questionnaire short-form  was used to measure self-reported walking, moderate-intensity physical activity, vigorous-intensity physical activity and sitting time for older adults [37, 38]. It specifically asked whether a person participated (yes or no) in various types of physical activity and their duration (minimum of 10 minutes). A strength exercise question “During your usual week, on how many days did you do strength activities? How much time did you usually spend doing strength activities on each of these days?” was also appended .
Dietary intake behaviours were assessed via a modified version of the Fat and Fibre Barometer  to gather specific information on fat intake (e.g. butter, cheese, milk) and fibre-related intake (e.g. cereals, fruit and vegetables). Extra questions were added to assess frequency of fruit and vegetable intake, which enabled quantification of the number of days participants consumed at least two servings of fruit or vegetables per week. The content of the intervention emphasised increasing consumption of fruits, vegetables and fibre but reducing the intake of saturated fat.
Descriptive statistics were first applied to summarize the baseline demographic profile and lifestyle characteristics of the sample. Comparisons between intervention and control groups were made across the two time points using independent samples and paired t-tests for continuous outcomes, and chi-square test for categorical outcome variables.
The main outcomes of interest were strength exercise, walking, moderate- and vigorous-intensity physical activity levels, sitting time, fibre intake, fat intake, fat avoidance, frequency of fruit intake and frequency of vegetables intake. In the presence of many zeros (lack of participation by seniors, i.e. < 10 minutes duration), all physical activity variables were recoded into binary form indicating participation status (yes; no), while sitting time remained as a continuous variable (recorded in minutes per week). For food eating habits, the fibre intake (range 0–28), fat intake (range 0–21) and fat avoidance (range 6–30) composite scores were computed based on the corresponding consumption behavioural questions from the Fat and Fibre Barometer, whereas consumption of at least two servings of fruit per week was considered as either infrequent (0 to 2 days) or frequent (3 to 7 days), and analogously for vegetables consumption.
To accommodate the inherent correlation of observations taken from the same individual, generalized estimating equation (GEE) models with exchangeable correlation structure were fitted to assess the repeated measures over time, while accounting for the effects of potential confounding factors. All binary outcomes were modelled using logistic GEE. Normal GEE with identity link was applied to fibre intake and fat intake scores, whereas gamma GEE with log link was considered appropriate for modelling the highly skewed sitting time variable and fat avoidance score. All statistical analyses were undertaken in the SPSS package, version 18.
Baseline characteristics of intervention participants and controls
Intervention group (n = 176)
Control group (n = 199)
Age: mean (SD) years
Relationship status: with partner
Work status: working
Co-morbidity 2: yes
Education level: primary school
Financial struggle: never
Alcohol drinking: yes
Smoking status: never
Process evaluation based on a brief questionnaire indicated good adherence to the program. Participants reported that the booklet encouraged them to think about physical activity (78%) and nutrition (70%), with the majority using the exercise chart (74%) to practise the recommended exercises (62%). Moreover, the calendar reminded them to consider physical activity (66%) and nutrition (55%). About 90% of the intervention participants reported using the pedometer while 63% utilised the resistance band to perform strength exercises.
Comparison of physical activity outcomes between intervention participants and controls
Intervention group (n = 176)
Control group (n = 199)
chi-square or t test
Strength exercise 1
p2 = 0.060 p3 = 0.013
p1 < 0.001
p1 = 1
p2 = 0.903 p3 = 0.015
p1 = 0.012
p1 = 0.770
Moderate activity 1
p2 = 0.764 p3 = 0.229
p1 = 0.008
p1 = 0.205
Vigorous activity 1
p2 = 0.050 p3 = 0.629
p1 = 0.044
p1 = 0.650
Sitting time: mean (SD) min per week
p2< 0.001 p3 = 0.794
p1 < 0.001
p1 = 0.441
Comparison of nutritional outcomes between intervention participants and controls
Intervention group (n = 176)
Control group (n = 199)
chi-square or t test
Frequent fruit intake 1
p2 = 0.250 p3 = 0.001
p1 = 0.037
p1 = 0.345
Frequent vegetable intake 1
p2 = 0.275 p3 = 0.072
p1 = 0.047
p1 = 0.184
Fibre intake score: range 0–28, mean (SD)
p2 = 0.300 p3 = 0.025
p1 = 0.035
Fat avoidance score: range 6–30, mean (SD)
p2 = 0.757 p3 = 0.009
p1 = 0.953
Fat intake score: range 0–21, mean (SD)
p2 = 0.280 p3 = 0.350
p1 = 0.049
p1 = 0.230
Regression analysis of outcomes before and after intervention (n = 375)
95% Confidence interval
Strength exercise 3
Moderate activity 3
Vigorous activity 3
Sitting time 4
Frequent fruit intake 3
Frequent vegetable intake 3
Fibre intake 5
Fat avoidance 4
Fat intake 5
Appropriate home-based interventions can improve physical activity and nutrition behaviours in insufficiently active 60–70 year olds [33, 34, 40], and are especially useful when they allow for flexibility, with self-tailoring to suit individual pace and needs [15, 33, 38]. The PANS intervention was developed based on a large pilot study [33, 34] and offered a practical community-based program for older people. The relatively low cost trial was designed to evaluate the effect of combining physical activity and nutrition on behavioural changes of seniors with low to middle socioeconomic status. The moderate sample sizes provided sufficient statistical power for evaluation of the repeated measures . The overall response rate of 78.5% was comparable with other randomized controlled trials on seniors [24, 41]. The main reasons of attrition such as work and family commitments, illness and injuries, were consistent with other studies in the literature [15, 24]. The International Physical Activity Questionnaire short-form appears to be useful to assess physical activity behavioural change for older adults. However, objective assessment of physical activity should be considered in future research.
The results from this 6-month home-based intervention for seniors indicated improvements in physical activity and nutritional behaviours among program participants in comparison to the controls. The intervention was shown to be effective and consistent with previous studies in terms of levels of change in physical activity and nutrition behaviours , specifically, increases in walking [34, 38], participation in strength exercises , increases in vigorous-intensity physical activity , improvements in fruit intake [15, 43] and a reduced consumption of fat . However, fibre intake behaviour and the frequency of vegetable intake showed no significant change. The seniors may already maintain a varied and healthy diet with a low consumption of take-away foods at baseline. This could have imposed limitations on further dietary gains, producing a so called “ceiling effect” [34, 44].
The health benefits of physical activity and its role in preventing many chronic diseases are well established [6, 10, 45]. On the other hand, recent research has suggested that sitting for long periods of time can have a detrimental effect on the body’s physiology, with excessive sitting being recognised as a serious health hazard . The PANS intervention was effective in reducing the sitting time of seniors. There is clearly a need for incorporating sitting time within physical activity guidelines [3, 46, 47], and positive change in sedentary behaviour should be a key component of future intervention programs.
In this study, the data collected from the postal questionnaires were based on self-report, although similar inaccuracies would be expected between the intervention and control groups. Large scale community trials have used self-reported data as valid proxies to reduce cost and attrition rates, and such data have been considered sufficiently reliable for monitoring changes over time [15, 48–51] which formed the basis of our evaluation. Self-selection bias was minimized through randomisation, but participation in the home-based intervention was entirely voluntary. Therefore, reporting bias might still be a problem. Furthermore, residual confounding could not be ruled out even though demographic and other factors were controlled for in the GEE regression analyses.
The PANS participants improved their physical activity and dietary habits in comparison to the controls, confirming that a low-cost, home-based physical activity and nutrition program tailored for insufficiently active, low to middle income seniors can produce effective behavioural changes. A follow-up study is recommended to confirm the adherence of the positive behavioural changes beyond six months. It would also be useful to replicate the program both in the community and in other settings where seniors reside such as retirement villages.
generalized estimating equation
physical activity and nutrition for seniors.
This study was funded by a three-year Australian National Health and Medical Research Council grant (project number 533501). The authors are grateful to Maria Pasalich and Choon Cheong Leong for technical assistance. Thanks are also due to the seniors who participated in the study.
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