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189 Age differences in psychological, social and environmental correlates of leisure time physical activity
Age differences in psychological, social and environmental correlates of leisure time physical activity
189
N. Burton1* 1 School of Human Movement Studies, The University of Queensland
Sunday 14 October
This study examined if the associations between social cognitive variables and leisure time physical activity (LTPA) differed among three age groups. Data were collected using a mail survey sent to 5000 adults aged 18-65 years, who were randomly sampled from the electoral roll and living in Brisbane. An overall response rate of 57% was achieved. After stratification by age, logistic regression was used to predict LTPA sufficiency (>600 MET.mins/week), controlling for gender, education, and household composition. Respondents aged 18-30 years (n=581) were more likely to be sufficiently active (62%), than those aged 31-50 years (50%; n=1343) or those aged 51-65 years (57%; n=608). The model accounted for 52%, 38% and 44% of LTPA variation in the younger, middle, and older age groups respectively (Nagelkerke R square). While habit and efficacy were significant in all the models (p<0.05), the other significant variables differed among the age groups. For respondents aged 18-30 years, neighborhood design, anticipated health benefits, and access barriers were significant (p<0.05). Physical health, perceived need for LTPA, social support, discouragement, anticipated psychological benefits, and competitiveness were significant (p<0.05) for those aged 31-50 years. Among those aged 51-65 years, activity schemata, neighbourhood aesthetics, LTPA demand, time management barriers, and competitiveness were significant (p<0.05). Population-based strategies to increase LTPA need to target relevant influences, which may differ by age. All strategies should include activities to enhance efficacy and habitualize LTPA.
Gender differences in psychological, social and environmental correlates of leisure time physical activity
190
N. Burton1* 1 School Of Human Movement Studies, The University of Queensland
This study examined if the associations between social cognitive variables and leisure time physical activity (LTPA) differed for men and women. Data were collected using a mail survey sent to 5000 adults aged 18-65 years, who were randomly sampled from the electoral roll and living in Brisbane. An overall response rate of 57% was achieved. Separate logistic regressions for men and women were used to predict LTPA sufficiency (>600 MET.mins/week), controlling for age, education, and household composition. Men (n=1133) were more likely to be sufficiently active (58%) than women (48%; n=1399). The model accounted for 37% of the variation in LTPA variation in men, and 40% for women (Nagelkerke R square). Habit, efficacy and social support were significant for both men and women (p<0.05). Discouragement was also significant for men (p<0.005). Mastery, physical health, competitiveness, and time management barriers were significant for women (p<0.05). Populationbased strategies to increase LTPA need to target relevant influences, which may differ for men and women. All strategies should include activities to enhance efficacy and social support, and to habitualize LTPA.
191
‘They said it couldn’t be done!’ - Home Activity Monitoring Project (HAMP) – an evaluation of a remote controlled, homebased physical activity program B. Couzner1* 1 Active Ageing Australia
Introduction: Active Ageing Australia® delivered an innovative, home-based physical activity program for South Australian people who were sedentary, isolated and older. A profile of the HAMP participant will be given. Details of the processes, program resources produced and functioning of HAMP from the participant point of view will be explained, including coaching support services provided by telephone. The purpose of the research was to evaluate the efficacy of HAMP; specifically whether it was successful in increasing levels of physical activity and reducing the incidence of injurious falls. Methodology: Self-reported data was collected during coaching support sessions and by use of a paper diary and electronic data was collected using StepLoggers (a device that, when worn by the participant, measured movement accelerations in three dimensions and detected falls). In addition, evaluation data was collected and analysed by an independent research organisation. Results: Current anecdotal evidence suggests the degree of success of HAMP. Evaluation data will be available by the time of the Conference to either support or refute this evidence. This will be reported in detail at the Conference. Conclusions: When the evidence is fully available, conclusions will be drawn re the efficacy and required basic philosophy of “remote controlled” home-based physical activity programs, the lessons learnt and recommendations made for the future delivery of such programs.
Measures of planned behaviour and the relationship between past exercise behaviour and intention in Type 2 Diabetics
192
C. Davies1* & K. Mummery1 Central Queensland University
1
The purpose of this study was to determine the mediating effect of the theory of planned behaviour (TPB) on past exercise behaviour and intention. Participants consisted of individuals diagnosed with Type II Diabetes. Participants were required to complete a questionnaire designed to assess exercise characteristics using the direct measures of the TPB (subjective norm, perceived behavioural control, and attitude) to assess their mediating effect on exercise intention. Hierarchical regression analysis indicated that exercise intention was significantly associated with perceived behavioural control, past exercise behaviour and attitude towards exercise. A significant relationship was found between subjective norm and exercise intention. Additionally results of the hierarchical regression analysis showed perceived behavioural control made the largest relative contribution to the prediction of exercise intention followed by past exercise behaviour and attitude. These results indicate that the majority of constructs within the TPB significantly predict exercise intention in a sample of Type 2 Diabetics. Implications of these findings in terms of potential behavioural interventions will be discussed.
71
189
N. Burton1* 1 School of Human Movement Studies, The University of Queensland
Sunday 14 October
This study examined if the associations between social cognitive variables and leisure time physical activity (LTPA) differed among three age groups. Data were collected using a mail survey sent to 5000 adults aged 18-65 years, who were randomly sampled from the electoral roll and living in Brisbane. An overall response rate of 57% was achieved. After stratification by age, logistic regression was used to predict LTPA sufficiency (>600 MET.mins/week), controlling for gender, education, and household composition. Respondents aged 18-30 years (n=581) were more likely to be sufficiently active (62%), than those aged 31-50 years (50%; n=1343) or those aged 51-65 years (57%; n=608). The model accounted for 52%, 38% and 44% of LTPA variation in the younger, middle, and older age groups respectively (Nagelkerke R square). While habit and efficacy were significant in all the models (p<0.05), the other significant variables differed among the age groups. For respondents aged 18-30 years, neighborhood design, anticipated health benefits, and access barriers were significant (p<0.05). Physical health, perceived need for LTPA, social support, discouragement, anticipated psychological benefits, and competitiveness were significant (p<0.05) for those aged 31-50 years. Among those aged 51-65 years, activity schemata, neighbourhood aesthetics, LTPA demand, time management barriers, and competitiveness were significant (p<0.05). Population-based strategies to increase LTPA need to target relevant influences, which may differ by age. All strategies should include activities to enhance efficacy and habitualize LTPA.
Gender differences in psychological, social and environmental correlates of leisure time physical activity
190
N. Burton1* 1 School Of Human Movement Studies, The University of Queensland
This study examined if the associations between social cognitive variables and leisure time physical activity (LTPA) differed for men and women. Data were collected using a mail survey sent to 5000 adults aged 18-65 years, who were randomly sampled from the electoral roll and living in Brisbane. An overall response rate of 57% was achieved. Separate logistic regressions for men and women were used to predict LTPA sufficiency (>600 MET.mins/week), controlling for age, education, and household composition. Men (n=1133) were more likely to be sufficiently active (58%) than women (48%; n=1399). The model accounted for 37% of the variation in LTPA variation in men, and 40% for women (Nagelkerke R square). Habit, efficacy and social support were significant for both men and women (p<0.05). Discouragement was also significant for men (p<0.005). Mastery, physical health, competitiveness, and time management barriers were significant for women (p<0.05). Populationbased strategies to increase LTPA need to target relevant influences, which may differ for men and women. All strategies should include activities to enhance efficacy and social support, and to habitualize LTPA.
191
‘They said it couldn’t be done!’ - Home Activity Monitoring Project (HAMP) – an evaluation of a remote controlled, homebased physical activity program B. Couzner1* 1 Active Ageing Australia
Introduction: Active Ageing Australia® delivered an innovative, home-based physical activity program for South Australian people who were sedentary, isolated and older. A profile of the HAMP participant will be given. Details of the processes, program resources produced and functioning of HAMP from the participant point of view will be explained, including coaching support services provided by telephone. The purpose of the research was to evaluate the efficacy of HAMP; specifically whether it was successful in increasing levels of physical activity and reducing the incidence of injurious falls. Methodology: Self-reported data was collected during coaching support sessions and by use of a paper diary and electronic data was collected using StepLoggers (a device that, when worn by the participant, measured movement accelerations in three dimensions and detected falls). In addition, evaluation data was collected and analysed by an independent research organisation. Results: Current anecdotal evidence suggests the degree of success of HAMP. Evaluation data will be available by the time of the Conference to either support or refute this evidence. This will be reported in detail at the Conference. Conclusions: When the evidence is fully available, conclusions will be drawn re the efficacy and required basic philosophy of “remote controlled” home-based physical activity programs, the lessons learnt and recommendations made for the future delivery of such programs.
Measures of planned behaviour and the relationship between past exercise behaviour and intention in Type 2 Diabetics
192
C. Davies1* & K. Mummery1 Central Queensland University
1
The purpose of this study was to determine the mediating effect of the theory of planned behaviour (TPB) on past exercise behaviour and intention. Participants consisted of individuals diagnosed with Type II Diabetes. Participants were required to complete a questionnaire designed to assess exercise characteristics using the direct measures of the TPB (subjective norm, perceived behavioural control, and attitude) to assess their mediating effect on exercise intention. Hierarchical regression analysis indicated that exercise intention was significantly associated with perceived behavioural control, past exercise behaviour and attitude towards exercise. A significant relationship was found between subjective norm and exercise intention. Additionally results of the hierarchical regression analysis showed perceived behavioural control made the largest relative contribution to the prediction of exercise intention followed by past exercise behaviour and attitude. These results indicate that the majority of constructs within the TPB significantly predict exercise intention in a sample of Type 2 Diabetics. Implications of these findings in terms of potential behavioural interventions will be discussed.
71