Mental health recovery and occupational therapy in Australia and New Zealand

Every individual with mental illness has the right to be safe and cared for. Most people will receive the love and care from their families and friends, but they will also expect mental-health professionals, occupational therapists and the community to work together to provide the necessary services to support their recovery from mental illness. This article highlights the development of the recovery approach for people with mental illness in Australia and New Zealand. The implications of recovery concepts for occupational therapy, in the areas of individualized approach, participation of service users and carers, person-centred assessment and intervention, intersectoral links and mental-health promotion, are discussed. There are a number of key areas requiring further research and debate, notably the most effective means of implementing and evaluating recovery-focused interventions.

Partnerships in mental health: Addressing barriers to social inclusion

Current trends in mental health services emphasize working in partnership with consumers and other government and non-government community organizations for improvement in quality of life for service users. People with a mental illness experience social exclusion, thereby limiting their ability to participate fully in community life. Occupational therapists have a substantial role to play in helping service users to overcome barriers to their community inclusion. Partnerships need to be formed to increase access to community resources and participation in activities that are enjoyed by other members of the community. Such partnerships have a health promotion emphasis and foster the relationship between mental-health services and the wider community, thus shifting the focus from direct occupational therapy service delivery to community-based rehabilitation interventions.This article describes the development, implementation and evaluation of an Australian healthy lifestyle course devised to meet the identified rehabilitation goals of people with mental illness to lose weight, get fit, commence vocational study and get a job. The course was run in partnership between mental health consumers, occupational therapists from the St George Mental Health Rehabilitation Service and staff and students from the Sutherland College of Technical and Further Education.

Physical activity promotion in primary care: Bridging the gap between research and practice

Background: Aflifle 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-inteivention data from a mailed GP survey, and data from the larger project's 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. ((C) 2004 American journal of Preventive Medicine.

Steps and sitting in a working population

This study aimed to assess sitting time and number of steps taken each day, and the relationships between these variables, in a sample of working Australian adults. Workers (N = 185), wore a pedometer for 7 days and recorded the number of steps taken and time spent sitting each day. Average time spent sitting on weekdays was 9.4 (SD = 2.40) hr with about half spent sitting at work. Despite this, the average steps taken each day (M = 8,873, SD = 2,757) was higher on weekdays than on weekend days. There was a clear inverse relationship between sitting time at work and number of steps taken on weekdays, r = -.34, p < .001); those in the highest tertile for sitting time reported about 3,000 fewer daily steps. Workers in managerial and professional occupations reported more time sitting at work (M = 6.2 hr per day) and lower weekday step counts (M = 7,883, N = 43) than technical (M = 3.3 hr sitting at work and 10,731 weekday steps, N = 33) and blue collar workers (M = 1.6 hours sitting and 11,784 steps N = 11). The findings suggest those whose daily work involves long hours of sitting should be the focus of efforts to promote physical activity both within and outside the workplace.

'I could do with a pair of wings': Perspectives on physical activity, bodies and health from young Australian children

There is little research that reports children's perspectives on physical activity, bodies and health. This paper, drawn from a larger multi-method study on physical activity in the lives of seven- and eight-year-old Australian children, attempts to 'give a voice' to 13 children's views. Interviews focused on children's activity preferences and related decision making and motivations pertaining to these activities, as well as how they thought about the relationships between physical activity, health and their bodies. Data suggest some tensions surrounding the importance of fun for children alongside their awareness of 'healthist' discourses that require self-monitoring and improvement.

Occupational sitting time and overweight and obesity in Australian workers

Background: One of the major immediate and long-term health issues in modern society is the problem of overweight and obesity. This paper examines the role of the workplace in the problem by studying the association between occupational sitting time and overweight and obesity (body mass index [BMI] >= 25) in a sample of adult Australians in full-time employment. Methods: Data on age, gender, occupation, physical activity, occupational sitting time, and BMI were collected in September 2003 from a sample of 1579 adult men and women in full-time employment at the time of the survey. Logistic regression was used to examine the association between occupational sitting time and overweight and obesity. Results: Mean occupational sitting time was > 3 hours/day, and significantly higher in men (209 minutes) than in women (189 minutes, p =0.026). Univariate analyses showed significant associations between occupational sitting time and BMI of >= 25 in men but not in women. After adjusting for age, occupation, and physical activity, the odds ratio for BMI >= 25 was 1.92 (confidence interval: 1.17-3.17) in men who reported sitting for > 6 hours/day, compared with those who sat for < 45 minutes/day. Conclusions: Occupational sitting time was independently associated with overweight and obesity in men who were in full-time paid work. These results suggest that the workplace may play an important role in the growing problem of overweight and obesity. Further research is needed to clearly understand the association between sitting time at work and over-weight and obesity in women.

Obesity in pre-school children: Issues and challenges for community based child health nurses

Childhood obesity is becoming a topical issue in both the health literature and the popular media and increasingly child health nurses are observing preschool children who appear to be disproportionately heavy for their height when plotted on standardised growth charts. In this paper literature related to childhood obesity in New Zealand and internationally is explored to identify current issues, and the implications of these issues for nurses in community based child health practice are discussed. Themes that emerged from the literature relate to the measurement of obesity, links between childhood and adult obesity and issues for families. A theme in the literature around maternal perception was of particular interest. Studies that investigated maternal perceptions of childhood obesity found that mothers identified their child as being overweight or obese only when it imposed limitations on physical activity or when the children were teased rather than by referring to individual growth graphs. The implications for nursing in the area of child health practice is discussed as nurses working in this area need an understanding of the complex and often emotive issues surrounding childhood obesity and an awareness of the reality of people's lives when devising health promotion strategies.

Development and evaluation of a youth mental health community awareness campaign - The Compass Strategy

Background: Early detection and treatment of mental disorders in adolescents and young adults can lead to better health outcomes. Mental health literacy is a key to early recognition and help seeking. Whilst a number of population health initiatives have attempted to improve mental health literacy, none to date have specifically targeted young people nor have they applied the rigorous standards of population health models now accepted as best practice in other health areas. This paper describes the outcomes from the application of a health promotion model to the development, implementation and evaluation of a community awareness campaign designed to improve mental health literacy and early help seeking amongst young people. Method: The Compass Strategy was implemented in the western metropolitan Melbourne and Barwon regions of Victoria, Australia. The Precede-Proceed Model guided the population assessment, campaign strategy development and evaluation. The campaign included the use of multimedia, a website, and an information telephone service. Multiple levels of evaluation were conducted. This included a cross-sectional telephone survey of mental health literacy undertaken before and after 14 months of the campaign using a quasi-experimental design. Randomly selected independent samples of 600 young people aged 12 - 25 years from the experimental region and another 600 from a comparison region were interviewed at each time point. A series of binary logistic regression analyses were used to measure the association between a range of campaign outcome variables and the predictor variables of region and time. Results: The program was judged to have an impact on the following variables, as indicated by significant region-by-time interaction effects ( p < 0.05): awareness of mental health campaigns, self-identified depression, help for depression sought in the previous year, correct estimate of prevalence of mental health problems, increased awareness of suicide risk, and a reduction in perceived barriers to help seeking. These effects may be underestimated because media distribution error resulted in a small amount of print material leaking into the comparison region. Conclusion: We believe this is the first study to apply the rigorous standards of a health promotion model including the use of a control region to a mental health population intervention. The program achieved many of its aims despite the relatively short duration and moderate intensity of the campaign.

Individual or population approaches to the promotion of physical activity... is that the question?

A recent editorial raised several issues about the role of exercise physiologists in the fight against physical inactivity in Australia. This opinion piece argues that we must strive to work together in multidisciplinary groups to improve our understanding of the mechanisms which link PA and health and the ways to persuade people to become more active. Prescription of specific exercise programs supported by exercise physiologists is one strategy for helping to activate Australians, but it is unlikely that that this atone will have a significant impact on population health. If we are to activate the 10,000,000 Australians who are currently insufficiently active for health benefit, we will need the combined efforts of governments, NGOs, teachers, planners, marketing experts, veterinarians, and ALL our health professionals, to combine forces to activate Australia. (c) 2006 Sports Medicine Australia. Published by Elsevier Ltd. All rights reserved.

Mental health literacy in rural Queensland: results of a community survey

Objectives: The aim of this study was to assess the awareness of, and attitudes to, mental health issues in rural dwelling Queensland residents. A secondary objective was to provide baseline data of mental health literacy prior to the implementation of Australian Integrated Mental Health Initiative - a health promotion strategy aimed at improving the health outcomes of people with chronic or recurring mental disorders. Method: In 2004 a random sample of 2% (2132) of the estimated adult population in each of eight towns in rural Queensland was sent a postal survey and invited to participate in the project. A series of questions were asked based on a vignette describing a person suffering major depression. In addition, questions assessed respondents' awareness and perceptions of community mental health agencies. Results: Approximately one-third (36%) of those surveyed completed and returned the questionnaire. While a higher proportion of respondents (81%) correctly identified and labelled the problem in the vignette as depression than previously reported in Australian community surveys, the majority of respondents (66%) underestimated the prevalence of mental health problems in the community. Furthermore, a substantial number of respondents (37%) were unaware of agencies in their community to assist people with mental health issues while a majority of respondents (57.6%) considered that the services offered by those agencies were poor. Conclusion: While mental health literacy in rural Queensland appears to be comparable to other Australian regions, several gaps in knowledge were identified. This is in spite of recent widespread coverage of depression in the media and thus, there is a continuing need for mental health education in rural Queensland.

Socioeconomic disadvantage and changes in health risk behaviours in Australia: 1989-90 to 2001

Objective. Lower socioeconomic status (SES) is associated in industrialized countries with unhealthy lifestyle characteristics, such as smoking, physical inactivity and being overweight or obese. This paper examines changes over time in the association between SES and smoking status, physical activity and being overweight or obese in Australia. Methods. Data were taken from three successive national health surveys in Australia carried out in 1989-90 (n = 54 576), 1995 (n = 53 828) and 2001 (n = 26 863). Participants in these surveys were selected using a national probability sampling strategy, and aggregated data for geographical areas are used to determine the changing association between SES and lifestyle over time. Findings. Overall, men had less healthy lifestyles, In 2001 inverse SES trends for both men and women showed that those living in lower SES areas were more likely to smoke and to be sedentary and obese, There were some important socioeconomic changes over the period 1989-90 to 2001. The least socioeconomically disadvantaged areas had the largest decrease in the percentage of people smoking tobacco (24% decrease for men and 12% for women) and the largest decrease in the percentage of people reporting sedentary activity levels (25% decrease for men and 22% for women). While there has been a general increase in the percentage over time of those who are overweight or obese, there is a modest trend for being overweight to have increased (by about 16% only among females) among those living in areas of higher SES. Conclusion. Socioeconomic inequalities have been increasing for several key risk behaviours related to health; this suggests that T specific population-based prevention strategies intended to reduce health inequalities are needed.

How does the health and well-being of young Australian vegetarian and semi-vegetarian women compare with non-vegetarians?

Objective: To compare the sociodemographic characteristics, health status and health service use of vegetarians, semi-vegetarians and non-vegetarians. Design: In cross-sectional data analyses of the Australian Longitudinal Study on Women's Health in 2000, 9113 women (aged 22-27 years) were defined as non-vegetarians if they reported including red meat in their diet., as semi-vegetarians if they excluded red meat and as vegetarians if they excluded meat, poultry and fish from their diet. Results: The estimated prevalence was 3% and 10% for vegetarian and semi-vegetarian young women. Compared with non-vegetarians, vegetarians and semi-vegetarians were more likely to live in urban areas and to not be married. Vegetarians and semi-vegetarians had lower body mass index (mean (95% confidence interval): 22.2 (21.7-22.7) and 23.0 (22.7-23.3) kg m(-2)) than non-vegetarians (23.7 (23.6-23.8) kg m(-2)) and tended to exercise more. Semi-vegetarians and vegetarians had poorer mental health, with 21-22% reporting depression compared with 15% of non-vegetarians (P < 0.001). Low iron levels and menstrual symptoms were also more common in both vegetarian groups. Vegetarian and semi-vegetarian women were more likely to consult alternative health practitioners and semi-vegetarians reported taking more prescription and non-prescription medications. Compared with non-vegetarians, semi-vegetarians were less likely and vegetarians much less likely to be taking the oral contraceptive pill. Conclusion: The levels of physical activity and body mass indices of the vegetarian and semi-vegetarian women suggest they are healthier than non-vegetarians. However, the greater reports of menstrual problems and the poorer mental health of these young women may be of clinical significance.