K. Mummery

A comparison of health behaviours in lonely and non-lonely populations.

Abstract Loneliness can be defined as perceived social isolation and appears to be a relatively common experience in adults. It carries a significant health risk and has been associated with heart disease, depression and poor recovery after coronary heart surgery. The mechanisms that link loneliness and morbidity are unclear but one of the mechanisms may be through poor health beliefs and behaviours. The aims of this cross-sectional survey of 1289 adults were to investigate differences in health behaviours (smoking, overweight, BMI, sedentary, attitudes towards physical activity) in lonely and non-lonely groups. Lonely individuals were more likely to be smokers and more likely to be overweight – obese. The lonely group had higher body mass index scores controlling for age, annual income, gender, employment and marital status. Logistic regression revealed no differences in sedentary lifestyles. Lonely individuals were significantly less likely to believe it was desirable for them to lose weight by walking for recreation, leisure or transportation. The findings provide support for an association between health behaviours, loneliness and excess morbidity reported in previous studies.

Occupational physical activity across occupational categories

This study investigated the amount of physical activity that occurs during normal working hours, highlighting the occupational differences in physical activity by occupational category. Data were collected by means of a self-administered questionnaire (Tecumseh Occupational Physical Activity Questionnaire [TOQ]), which measures past year Occupational Physical Activity (OPA) and by a motion-sensing device (Yamax DigiWalker Pedometer SW - 700). Ninety male and female participants aged 18-62 years participated in the study. Participants were stratified by occupational category according to the Australian Standard Classification of Occupations (ASCO), which was then condensed into professional, white-collar and blue-collar workers. The results showed significant (p < .05) increases in OPA from the professional category (least active) through to the blue-collar workers (most active) in terms of walking activity. Mean daily step counts were 2,835, 3,616 and 8,757 for professional, white-collar and blue-collar respectively. Occupational Physical Activity Scores and Work Activity Units (WAU) in MET - min x wk(-1) from the TOQ showed similar patterns, with blue collar reporting significantly (p < .05) more past year OPA than their white-collar and professional workers. Significant correlations were also shown between the pedometer (step-count data) and the TOQ (r = .38 - .74, p < .01).

General Practitioner Advice on Physical Activity—Who Gets It?

Purpose. To evaluate the prevalence and characteristics of patients who received physical activity counseling from a general practitioner. Methods. Data presented are from a cross-sectional survey of approximately 2000 Queensland (Australia) adults conducted as part of a multi-strategy, community-based, physical activity intervention (10,000 Steps Rockhampton). The survey included self-reported receipt of general practitioner advice on physical activity as well as demographic, medical, and physical activity questions. Results. Receipt of advice on physical activity was reported by 24.2% of respondents, with advice more likely to be given to males, overweight/obese people, those with chronic conditions, and those more frequently visiting their general practitioners. Discussion. Rates of physical activity advice and characteristics of patients receiving advice are similar to those reported overseas and suggest that while there is room for improvement, general practitioners are targeting their advice to patients most in need.

Physical activity: Physical activity dose-response effects on mental health status in older adults

Objective: The purpose of this study was to examine the dose‐response relationship between physical activity and mental health, comparing two recommended levels of physical activity involvement. The two current physical activity recommendations used to study the dose‐response relationships in a sample of older adults were 150 minutes per week and 420 minutes per week.

Mediating relationship between body mass index and the direct measures of the Theory of Planned Behaviour on physical activity intention

Abstract This research examines (a) the interrelationships between body mass index (BMI), the direct measures of the Theory of Planned Behaviour (TPB) and physical activity intention and (b) the potential mediation effects of the direct measures of the TPB in the relationship between BMI and physical activity intention in a sample of Australian adults. A total sample of 1,062 respondents participated in a computer-assisted telephone-interview (CATI) survey comprised of a standardised introduction; questions regarding TPB and physical activity; and standard demographic questions. BMI for each participant was calculated from self-reported height and weight. Separate regression analyses were performed to examine the mediating effects of each of the direct measures of the TPB on the predictive relationship between the BMI and physical activity intention, as proposed by Baron and Kenny (Journal of Personality and Social Psychology, 51(6), 1173 – 1182, 1986). Findings indicated that the direct measure of attitude and perceived behavioural control mediated the relationship between BMI and physical activity intention. However, the direct measure of subjective norm failed to act as a mediating mechanism. To date there has been no research that has examined the mechanism by which body mass may affect physical activity behaviour. Given the current focus for health promotion specialists on promoting physical activity as a strategy for reducing overweight and obesity, a theoretical understanding of weight-related barriers to physical activity may aid in the development of future interventions and community physical activity programs, particularly those targeting overweight and obese populations.

Essay: Depression in sport

The streets of Kelly Holmes’ hometown in Kent, UK, were lined with more than 40 000 people in September, 2004, waiting to welcome home their hero. Holmes, the winner of the 800 m and 1500 m track gold medals at the Athens Olympics, is the first Briton in more than 80 years to achieve the Olympic middle-distance double. Later awarded the title of Dame Commander of the Most Excellent Order of the British Empire, Holmes was indeed living the dream. Her dream was, however, laced with nightmares. Her battles with depression in the lead up to her Olympic successes now a matter of public record, she provides a graphic example that even elite athletes are susceptible to one of society’s largest problems—depression. Depression can be a transitory sadness or a debilitating mental illness, needing clinical treatment. Generally, those affected present with disturbed mood, feelings of guilt or low self-worth, disturbed sleep or appetite, loss of interest or pleasure, low energy, and poor concentration. These problems can become pervasive or recurrent, and lead to great difficulties in a person’s ability to attend to his or her everyday activities. Endemic in current society, depression is listed by WHO as the leading cause of disability and the fourth leading contributor to the global burden of disease (second among adolescents and adults younger than age 45 years) in terms of years of life affected. By 2020, depression will probably be the second largest contributor to the burden of disease across both sexes

Psychosocial mediators of group cohesion on physical activity intention of older adults

Abstract Considerable evidence has indicated that group-based physical activity may be a promising approach to reducing and preventing age-related illness. However, this research has not examined the mechanisms by which cohesion may impact on behaviour. The purpose of the present research was to utilise the theory of planned behaviour to investigate the mechanism by which group cohesion may affect physical activity intention. Participants were recruited from an existing physical activity intervention studying the effects of group cohesion on physical activity behaviour. The outcomes of this intervention are reported elsewhere. This paper presents data from a sub-sample of the intervention population (N = 74) that examined the mediating relationships between the theory of planned behaviour and group cohesion on physical activity intention. Analyses showed that attitude and perceived behavioural control mediated the relationship between specific group cohesion concepts and physical activity intention. The direct measure of subjective norm failed to display a mediating relationship. The mediating relationships displayed between attitude and perceived behavioural control and physical activity intention provide insight into potential mechanisms by which group cohesion may affect behaviour.

Physical activity promotion in primary careBridging the gap between research and practice

BACKGROUND While a growing literature supports the effectiveness of physical activity interventions delivered in the primary care setting, few studies have evaluated efforts to increase physician counseling on physical activity during routine practice (i.e., outside the context of controlled research). This paper reports the results of a dissemination trial of a primary care-based physical activity counseling intervention conducted within the context of a larger, multi-strategy, Australian community-based, physical activity intervention, the 10,000 Steps Rockhampton Project. METHODS All 23 general practices and 66 general practitioners (GPs, the Australian equivalent of family physicians) were invited to participate. Practice visits were made to consenting practices during which instruction in brief physical activity counseling was offered, along with physical activity promotion resources (print materials and pedometers). The evaluation, guided by the RE-AIM framework, included collection of process data, as well as pre- and post-intervention data from a mailed GP survey, and data from the larger projects random-digit-dialed, community-based, cross-sectional telephone survey that was conducted in Rockhampton and a comparison community. RESULTS Ninety-one percent of practices were visited by 10,000 Steps staff and agreed to participate, with 58% of GPs present during the visits. General practitioner survey response rates were 67% (n =44/66 at baseline) and 71% (n =37/52, at 14-month follow-up). At follow-up, 62% had displayed the poster, 81% were using the brochures, and 70% had loaned pedometers to patients, although the number loaned was relatively small. No change was seen in GP self-report of the percentage of patients counseled on physical activity. However, data from the telephone surveys showed a 31% increase in the likelihood of recalling GP advice on physical activity in Rockhampton (95% confidence interval [CI]=1.11-1.54) compared to a 16% decrease (95% CI=0.68-1.04) in the comparison community. CONCLUSIONS This dissemination study achieved high rates of GP uptake, reasonable levels of implementation, and a significant increase in the number of community residents counseled on physical activity. These results suggest that evidence-based primary care physical activity counseling protocols can be translated into routine practice, although the initial and ongoing investment of time to develop partnerships with relevant healthcare organizations, and the interest generated by the overall 10,000 Steps program should not be underestimated.

The Utilisation of Group Process Strategies as an Intervention Tool for the Promotion of Health-Related Physical Activity in Older Adults

Abstract This study contrasted the effects of an enhanced group intervention program against a standard group intervention, with specific reference to the influences of group cohesion on changes in health-related physical activity of older adults. Older adults (N = 122) took part in a 12-week intervention with repeated post-intervention follow-up (6 & 12 months) assessing physical activity behaviour and perceptions of group cohesion. Results indicated significant positive change (p< 0.05) across time, but a non-significant difference between groups, for physical activity behaviour. For group cohesion, results indicated a significant negative (p< 0.05) change across time and similar to physical activity behaviour, a nonsignificant difference between the intervention groups. Further research is needed to understand the mechanism that fosters group cohesion in order to develop future interventions aimed at increasing physical activity behaviour and adherence in older adults.

Health promotion for dogs and humans : the 10,000 steps Rockhampton dog walking intervention

Purpose This paper describes the implementation and evaluation of an intervention aimed at increasing the dog-walking behaviour of residents from a community of approximately 60,000. This intervention was a sub strategy of the 10 000 Steps Rockhampton project – a community intervention aimed at decreasing sedentary behaviour in the adult population. Methods Brochures and posters were developed that promoted dog walking as a means to improve both human and canine health. The brochures were distributed by the local council to over 8 000 homes with the annual dog-renewal registrations. Results Evaluation of the intervention included a telephone survey of a randomly selected sample of Rockhampton residents (n=420) four-months post intervention. Although 63.6% of participants reported that owning a dog increased their physical activity levels, 40% of dog-owners did not walk their dog at all in the last week. The outcome evaluation of the intervention showed that 20.2% of dog-owners recalled receiving the brochure. Overall 15.3% of respondents with a dog in their household reported an increase in their physical activity levels since the intervention, 8.4% reported a decrease. Conclusions The intervention was an innovative and cost-effective way to tap into a section of the population that can benefit from engaging in regular walking behaviour. It was also a unique and useful way to engage local council in physical activity health promotion as part of a larger ongoing community-wide intervention.