Health Promotion Journal of Australia, Feb 28, 2023
Issues AddressedTo (i) determine the prevalence of health risk factors (physical activity, diet, ... more Issues AddressedTo (i) determine the prevalence of health risk factors (physical activity, diet, alcohol, smoking, blood pressure medication use and mental health) in community‐dwelling stroke survivors; and (ii) examine how these health risk factors cluster, and identify associations with physical functioning, independent living, or sociodemographic factors.MethodsA secondary analysis of data obtained during a national randomised controlled trial. Participants had experienced stroke and completed a baseline telephone survey on demographic and stroke characteristics, health risk factors, physical functioning and independence in activities of daily living. A latent class analysis was performed to determine health risk profiles. Univariate logistic regressions were performed to identify if participant characteristics were associated with resulting classes.ResultsData analysed from 399 participants. Two classes of health risk factors were identified: Low Mood, Food & Moves Risk (16% of participants) and Alcohol Use Risk (84% of participants). The Low Mood, Food & Moves Risk group had poorer diet quality, lower physical activity levels and higher levels of depression and anxiety. Lower levels of independence and physical functioning were predictor variables for this group. In contrast, the Alcohol Use Risk group had better physical activity and diet scores, significantly lower probability of depression and anxiety, but a higher probability of risky drinking.ConclusionsWe identified two distinct health risk factor groups in our population.So What?Future interventions may benefit from targeting the specific needs and requirements of people who have experienced stroke based on their distinct risk group. Alcohol consumption in poststroke populations requires further attention.
Journal of clinical exercise physiology, Jun 1, 2020
ABSTRACT Background: Community-based exercise classes have the potential to sustain the benefits ... more ABSTRACT Background: Community-based exercise classes have the potential to sustain the benefits of cardiac rehabilitation for the prevention of future cardiovascular events. Such classes can be designed to address this need; however, whether such classes meet these objectives is rarely evaluated. Methods: Facility managers, instructors, and class participants completed questionnaires. Two assessors observed exercise classes called “Heartmoves.” A maximum of 10 participants per class wore heart rate (HR) monitors. Mean and highest HR as percentage of age-predicted maximum were recorded for class components. At the end of classes, participants completed a 10-point rating of perceived exertion (RPE) scale. Data were compared with international guidelines for community exercise classes for individuals with cardiovascular disease (CVD). Results: Twelve classes were observed with 82 participants. All classes included guideline-recommended components of warm-up, cooldown, strength, and aerobic conditioning; 58% of classes (n = 7) incorporated strength and aerobic conditioning in a circuit. Class participants exercised at low to moderate intensities as indicated by mean ± SD: HR (warm-up 55% ± 11% age-predicted maximum HR; cooldown 52 ± 11; strength 59 ± 11; aerobic conditioning 58 ± 12); and overall RPE (6 ± 2). Class participants' mean age was 70 ± 8 years; 27% (n = 24) were referred by health professionals; 73% (n = 61) attended for fitness; 61% (n = 50) had CVD risk factors; and 21% (n = 17) reported diagnosed CVD. Conclusion: Community exercise classes for individuals with CVD, specifically those aligned with Heartmoves, may comply with international guidelines, although few class participants have diagnosed CVD.
Health Promotion Journal of Australia, Feb 28, 2023
Issues AddressedTo (i) determine the prevalence of health risk factors (physical activity, diet, ... more Issues AddressedTo (i) determine the prevalence of health risk factors (physical activity, diet, alcohol, smoking, blood pressure medication use and mental health) in community‐dwelling stroke survivors; and (ii) examine how these health risk factors cluster, and identify associations with physical functioning, independent living, or sociodemographic factors.MethodsA secondary analysis of data obtained during a national randomised controlled trial. Participants had experienced stroke and completed a baseline telephone survey on demographic and stroke characteristics, health risk factors, physical functioning and independence in activities of daily living. A latent class analysis was performed to determine health risk profiles. Univariate logistic regressions were performed to identify if participant characteristics were associated with resulting classes.ResultsData analysed from 399 participants. Two classes of health risk factors were identified: Low Mood, Food & Moves Risk (16% of participants) and Alcohol Use Risk (84% of participants). The Low Mood, Food & Moves Risk group had poorer diet quality, lower physical activity levels and higher levels of depression and anxiety. Lower levels of independence and physical functioning were predictor variables for this group. In contrast, the Alcohol Use Risk group had better physical activity and diet scores, significantly lower probability of depression and anxiety, but a higher probability of risky drinking.ConclusionsWe identified two distinct health risk factor groups in our population.So What?Future interventions may benefit from targeting the specific needs and requirements of people who have experienced stroke based on their distinct risk group. Alcohol consumption in poststroke populations requires further attention.
Journal of clinical exercise physiology, Jun 1, 2020
ABSTRACT Background: Community-based exercise classes have the potential to sustain the benefits ... more ABSTRACT Background: Community-based exercise classes have the potential to sustain the benefits of cardiac rehabilitation for the prevention of future cardiovascular events. Such classes can be designed to address this need; however, whether such classes meet these objectives is rarely evaluated. Methods: Facility managers, instructors, and class participants completed questionnaires. Two assessors observed exercise classes called “Heartmoves.” A maximum of 10 participants per class wore heart rate (HR) monitors. Mean and highest HR as percentage of age-predicted maximum were recorded for class components. At the end of classes, participants completed a 10-point rating of perceived exertion (RPE) scale. Data were compared with international guidelines for community exercise classes for individuals with cardiovascular disease (CVD). Results: Twelve classes were observed with 82 participants. All classes included guideline-recommended components of warm-up, cooldown, strength, and aerobic conditioning; 58% of classes (n = 7) incorporated strength and aerobic conditioning in a circuit. Class participants exercised at low to moderate intensities as indicated by mean ± SD: HR (warm-up 55% ± 11% age-predicted maximum HR; cooldown 52 ± 11; strength 59 ± 11; aerobic conditioning 58 ± 12); and overall RPE (6 ± 2). Class participants' mean age was 70 ± 8 years; 27% (n = 24) were referred by health professionals; 73% (n = 61) attended for fitness; 61% (n = 50) had CVD risk factors; and 21% (n = 17) reported diagnosed CVD. Conclusion: Community exercise classes for individuals with CVD, specifically those aligned with Heartmoves, may comply with international guidelines, although few class participants have diagnosed CVD.
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Papers by Robin Callister