Article

Reliability and validity of a modified self-administered version of the Active Australia physical activity survey in a sample of mid-age women

School of Human Movement Studies, The University of Queensland, St Lucia, QLD 4072, Australia.
Australian and New Zealand Journal of Public Health (Impact Factor: 1.98). 01/2009; 32(6):535-41. DOI: 10.1111/j.1753-6405.2008.00305.x
Source: PubMed

ABSTRACT

To assess the test-retest reliability and validity of a modified self-administered version of the Active Australia physical activity survey.
One hundred and fifty-nine mid-age women (54-59 years) completed a mailed physical activity questionnaire before recording daily pedometer step counts for seven consecutive days. A random subsample (n=44) also wore an accelerometer during this period. Participants then completed the physical activity questionnaire again. Spearman's rho and per cent agreement were used to assess test-retest reliability. Self-reported physical activity data (time 2) were compared with pedometer and accelerometer data using box plots and Spearman's correlations to assess validity.
Median time between surveys was 13 days. Median frequency and duration of moderate and vigorous physical activity were the same at both surveys, but median walking frequency was slightly higher at time 2 than time 1. Reliability coefficients for frequency/time in each domain of physical activity ranged from 0.56-0.64 and per cent agreement scores ranged from 40% to 65% for the physical activity categories; agreement was 76% for 'meeting guidelines'. Correlations (p) between self-reported physical activity and 1) weekly pedometer steps and 2) accelerometer data for duration of at least moderate intensity physical activity were 0.43 and 0.52 respectively.
The measurement properties of this modified self-administered physical activity survey are similar to those reported for the original computer assisted telephone interview survey.
This modified version of the Active Australia survey is suitable for use in self-administered format.

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Available from: Wendy J Brown, Nov 05, 2014
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    • "A strength of the current study is that, instead of only 'meeting' and 'not meeting' guidelines, we used four categories to assess physical activity. Therefore a change of one category, for example from none to low, was considered a meaningful change, even if the minimum amount recommended in the current guidelines was not met (Brown et al., 2012; Tudor-Locke et al., 2011; Tudor-Locke et al., 2008). Approximately 44% did not change their level of physical activity. "
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    ABSTRACT: Objective: Although regular physical activity is an effective secondary prevention strategy for patients with a chronic disease, it is unclear whether patients change their daily physical activity after being diagnosed. Therefore, the aims of this study were to (1) describe changes in levels of physical activity in middle-aged women before and after diagnosis with a chronic disease (heart disease, diabetes, asthma, breast cancer, arthritis, depression); and to (2) examine whether diagnosis with a chronic disease affects levels of physical activity in these women. Methods: Data from 5 surveys (1998-2010) of the Australian Longitudinal Study on Women's Health (ALSWH) were used. Participants (N=4840, born 1946-1951) completed surveys every three years, with questions about diseases and leisure time physical activity. The main outcome measure was physical activity, categorized as: nil/sedentary, low active, moderately active, highly active. Results: At each survey approximately half the middle-aged women did not meet the recommended level of physical activity. Between consecutive surveys, 41%-46% of the women did not change, 24%-30% decreased, and 24%-31% increased their physical activity level. These proportions of change were similar directly after diagnosis with a chronic disease, and in the years before or after diagnosis. Generalized estimating equations showed that there was no statistically significant effect of diagnosis with a chronic disease on levels of physical activity in women. Conclusion: Despite the importance of physical activity for the management of chronic diseases, most women did not increase their physical activity after diagnosis. This illustrates a need for tailored interventions to enhance physical activity in newly diagnosed patients.
    Full-text · Article · Feb 2016 · Preventive Medicine
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    • "%). As shown in Table 1, when compared to current Australian population estimates[51], the proportions of the NNPAS 2011–12 sample was largely concordant across most sociodemographic variables. In the current study, a total of 54.1 % were female, 45.9 % were aged 18–44 years, 25.7 % had high education levels (degree or higher degree), 51.5 % reported either 'excellent' or 'very good' self-rated health, 34.3 % had normal BMI status and 48.5 % reported never smoking (Table 1). "
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    ABSTRACT: Background The current Australia's Physical Activity and Sedentary Behaviour Guidelines recommend that adults engage in regular moderate-to-vigorous-intensity physical activity (MVPA) and strength training (ST), and minimise time spent in sedentary behaviours (SB). However, evidence about the specific individual and concurrent distribution of these behaviours in Australia is scarce. Therefore, the aim of this study was to determine the prevalence and sociodemographic correlates of MVPA, ST and SB in a national-representative sample of Australian adults. Methods Data were collected using face-to-face interviews, as part of the National Nutrition and Physical Activity Survey 2011–12. The population-weighted proportions meeting the MVPA (≥150 min/week), ST (≥2 sessions/week) and combined MVPA-ST guidelines, and proportions classified as having ‘low levels of SB’ (<480 min/day) were calculated, and their associations with selected sociodemographic and health-related variables were assessed using multiple logistic regression analyses. This was also done for those at potentially ‘high-risk’, defined as insufficient MVPA-ST and ‘high-sedentary’ behaviour. Results Out of 9345 participants (response rate = 77.0 %), aged 18–85 years, 52.6 % (95 % CI: 51.2 %–54.0 %), 18.6 % (95 % CI: 17.5 %–19.7 %) and 15.0 % (95 % CI: 13.9 %–16.1 %) met the MVPA, ST and combined MVPA-ST guidelines, respectively. Female gender, older age, low/medium education, poorer self-rated health, being classified as underweight or obese, and being a current smoker were independently associated with lower odds of meeting the MVPA, ST and combined MVPA-ST guidelines. A total of 78.9 % (95 % CI: 77.9 %–80.0 %) were classified as having low levels of SB. Females, older adults and those with lower education were more likely to report lower levels of SB, whilst those with poor self-rated health and obese individuals were less likely to report lower levels of SB (i.e. SB = ≥480 min/day). A total of 8.9 % (95 % CI: 8.1 %–9.6 %) were categorised as individuals at potentially ‘high-risk’. Those with poorer self-rated health, obese individuals, those aged 25–44, and current smokers were more likely to be in the ‘high risk’ group. Conclusions The large majority of Australian adults do not meet the full physical activity guidelines and/or report excessive SB. Our results call for public health interventions to reduce physical inactivity and SB in Australia, particularly among the subgroups at the highest risk of these unhealthy behaviours.
    Full-text · Article · Dec 2015 · BMC Public Health
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    • "The survey includes questions relating to the frequency and duration of: walking (for exercise, recreation or transport); vigorous physical activities (such as jogging, cycling, aerobics and competitive sport); and moderate physical activity (such as gentle swimming, tennis and golf). The Active Australia Survey has been shown to have moderate reliability (reliability coefficient for frequency/duration ranged from 0.56 to 0.64 for each of the physical activity domains) [28] and moderate validity when compared with weekly pedometer step counts (rho = 0.43) and accelerometery (rho = 0.52) [28]. "
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    ABSTRACT: Background Women’s physical activity levels decline during their transition to parenthood. Facebook is widely used by Australian mothers and provides the opportunity to target social networks in order to maintain and increase physical activity. Method This mixed method study aimed to pilot and assess the usability of the Mums Step It Up Facebook app, a new team-based physical activity intervention for mothers with young children. A purposive sample of five “Captain” women with young children, were recruited through personal contacts. These women used the app to recruit 3–7 Facebook friends (with children under 5) to join their respective teams (total n = 25). The app encourages women to take 10,000 steps a day measured by a pedometer. Women used the app for 28 days to log steps, interact with team mates and monitor progress. Physical activity was assessed at two time points (baseline and final week) using the Active Australia Survey. Usability testing with the five “Captain” women took place over two one hour face-to-face sessions. A questionnaire seeking feedback on the app was completed at time point two. Results Participants’ total physical activity increased by an average of 177 minutes per week (p = 0.01). The complexity of the team forming process and issues using the Facebook environment, where a variety of devices and software platforms are used, was highlighted. Discussion A team-based Facebook app shows considerable promise for the recruitment and retention of participants to a social network-based physical activity intervention. A randomised controlled trial to further evaluate the effectiveness of the intervention is warranted.
    Full-text · Article · Oct 2014 · PLoS ONE
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