[show abstract][hide abstract] ABSTRACT: Retirement is a major life transition during which people restructure everyday activities; however little is known about this. The primary aim of the Life After Work study is to comprehensively measure changes in time use and patterns of physical activity and sedentary behaviour, and its associations with health and wellbeing, across the retirement transition.
A target sample of 120 participants aged 50 years and over will be recruited in two Australian state capital cities, Adelaide and Brisbane. Participants will undertake a battery of assessments approximately 3 months prior to retirement, and 3, 6 and 12 months post-retirement. Measures will include self-reported use of time (using the Multimedia Activity Recall for Children and Adults), objectively assessed physical activity and sedentary behaviour (using Actigraph GT3X+ accelerometers), self-reported health and well-being (using a battery of questionnaires including the Short-Form Health Survey (SF-36), Australian Unity Personal Well-being Index (AUPWI), ), Depression Anxiety Stress Scales 21 (DASS21), Short Warwick-Edinburgh Mental Well-being Scale, UCLA Loneliness Scale, Rosenberg Self-Esteem Scale), retirement circumstances and socio-demographic characteristics, objectively assessed anthropometric measures (height, weight and waist circumference), and resting blood pressure. Multivariate mixed models will be used to examine changes in use of time, health and well-being across retirement.
The results will provide important new information that will inform the development of lifestyle and policy interventions to address and improve health and well-being in retirement.
BMC Public Health 10/2013; 13(1):952. · 2.08 Impact Factor
[show abstract][hide abstract] ABSTRACT: Prolonged, uninterrupted sitting time is associated with poor health outcomes. As most sitting time occurs at work, accurate, objective measurement of occupational sitting patterns is required to fully understand its effects on employee health.
The purpose of this study was to examine associations of desk-based sitting patterns with waist circumference (WC) and BMI.
Participants were full-time, office-based employees (N=105; mean age 40.9±11.5 years; BMI 26.1±3.9; 65% women). Sitting patterns (total desk-based sitting time and number of times employees got up from their desk) were assessed for 5 days using an objective measure of desk-based sitting: the sitting pad. WC, height, and weight were measured, and BMI was calculated. Associations of sitting patterns with WC and BMI were tested using logistic regression models. Data were collected and analyzed in 2011-2012.
Those with high levels of sitting time at their desk were 2.7 times (95% CI=1.3, 6.3) more likely to have WC ≥94 cm (men) and ≥80 cm (women), and 9.0 times (95% CI=1.9, 41.9) more likely to have BMI ≥30 than those with lower sitting time. There were no associations between the number of times employees got up from sitting at their desk and WC or BMI.
High levels of desk-based sitting time were associated with an increased likelihood of negative weight-related health outcomes, whereas frequency of getting up from sitting at the desk was not.
American journal of preventive medicine 10/2013; 45(4):448-52. · 4.24 Impact Factor
[show abstract][hide abstract] ABSTRACT: To validate Kalache & Kickbusch's model: namely, that functional capacity peaks in early adulthood, then declines at a rate dependent on fitness level until a "disability threshold" is reached.
Data came from the Australian Longitudinal Study on Women's Health, which followed three cohorts from 1996 to 2011: a young, a mid-aged and an older cohort (born in 1973-78, 1946-51 and 1921-26, respectively). The Short Form (36) Health Survey was used to measure physical functioning (score 1-100). The disability threshold was the mean physical functioning score in older women requiring assistance with daily activities (62.8). The relationship between age and physical functioning was modelled using spline regression for the entire sample, and by baseline physical functioning quintile and physical activity level.
PHYSICAL DECLINE QUICKENED WITH AGE: 0.05 annual units (95% confidence interval, CI: -0.13 to 0.22) at ages 18-23 years (i.e. no decline); -2.43 (95% CI: -2.64 to -2.23) at ages 82-90 years. Decline was faster in quintiles with lower baseline physical functioning in the younger and mid-age cohorts and in quintiles with higher baseline physical functioning in the older cohort. The disability threshold was reached at a mean age of 79 years, but the range was 45-88 years, depending on baseline physical functioning and physical activity.
Age and physical decline are not linearly related, as traditionally believed; decline accelerates with age. However, baseline physical functioning, but not physical activity, influences the rate of decline.
Bulletin of the World Health Organisation 09/2013; 91(9):661-670. · 5.25 Impact Factor
[show abstract][hide abstract] ABSTRACT: Associations of sitting-time and physical activity with depression are unclear.
To examine concurrent and prospective associations between both sitting-time and physical activity with prevalent depressive symptoms in mid-aged Australian women.
Data were from 8950 women, aged 50-55 years in 2001, who completed mail surveys in 2001, 2004, 2007, and 2010. Depressive symptoms were assessed using the Center for Epidemiological Studies Depression questionnaire. Associations between sitting-time (≤4 hours/day, >4-7 hours/day, >7 hours/day) and physical activity (none, some, meeting guidelines) with depressive symptoms (symptoms/no symptoms) were examined in 2011 in concurrent and lagged mixed-effect logistic modeling. Both main effects and interaction models were developed.
In main effects modeling, women who sat >7 hours/day (OR=1.47, 95% CI=1.29, 1.67) and women who did no physical activity (OR=1.99, 95% CI=1.75, 2.27) were more likely to have depressive symptoms than women who sat ≤4 hours/day and who met physical activity guidelines, respectively. In interaction modeling, the likelihood of depressive symptoms in women who sat >7 hours/day and did no physical activity was triple that of women who sat ≤4 hours/day and met physical activity guidelines (OR 2.96, 95% CI=2.37, 3.69). In prospective main effects and interaction modeling, sitting-time was not associated with depressive symptoms, but women who did no physical activity were more likely than those who met physical activity guidelines to have future depressive symptoms (OR=1.26, 95% CI=1.08, 1.47).
Increasing physical activity to a level commensurate with guidelines can alleviate current depression symptoms and prevent future symptoms in mid-aged women. Reducing sitting-time may ameliorate current symptoms.
For a copy of the accepted publication, go to Dr Heesch's list of publications with linked access to the text of the articles: http://eprints.qut.edu.au/view/person/Heesch,_Kristiann.html
American journal of preventive medicine 09/2013; 45(3):276-81. · 4.24 Impact Factor
[show abstract][hide abstract] ABSTRACT: To determine the ActiGraph GT3X+ cut-points with the highest accuracy for estimating time spent in sedentary behaviour in older adults in free-living environments. ActivPAL(3)™ was used as the reference standard.
37 participants (13 males and 24 females, 73.5±7.3 years old) wore an ActiGraph GT3X+ and an ActivPAL(3)™ for 7 consecutive days. For ActivPAL(3)™, variables were created based on posture. For ActiGraph GT3X+, sedentary behaviour was defined as (1) vector magnitude and (2) vertical axis counts for 1-s, 15-s and 1-min epochs, with cut-points for 1-s epochs of <1 to <10counts, for 15-s epochs of <1 to <100counts and for 1-min epochs of <1 to <400counts. For each of the ActiGraph GT3X+ cut-points, area under the receiver operating characteristic curve (area under the curve), sensitivity, specificity, and percentage correctly classified were calculated. Bias and 95% limits of agreement were calculated using the Bland-Altman method.
The highest areas under the curve were obtained for the vector magnitude cut-points: <1count/s, <70counts/15-s, and <200counts/min; and for the vertical axis cut-points: <1count/s, <10counts/15-s and <25counts/min. Mean biases ranged from -4.29 to 124.28min/day. The 95% limits of agreement for these cut-points were ±2h suggesting great inter-individual variation.
The results suggest that cut-points are dependent on unit of analyses (i.e. epoch length and axes); cut-points for a given epoch length and axis cannot simply be extrapolated to other epoch lengths. Limitations regarding inter-individual variability and misclassification of standing activity as sitting/lying must be considered.
Journal of science and medicine in sport / Sports Medicine Australia. 08/2013;
[show abstract][hide abstract] ABSTRACT: Employee presenteeism is the extent to which health conditions adversely affect at-work productivity. Given the links between health and activity, this study examined associations between objectively measured physical activity, sedentary behavior, and presenteeism.
Participants were 108 office employees (70% women, mean age 40.7 ± 11.2 years). Activity was measured using ActiGraph GT3X+ accelerometers to determine sedentary (≤150 counts) and light (151 to 1689 counts) activity; presenteeism with the Work Limitations Questionnaire.
Fifty-seven percent of time was spent in sedentary behavior and 38% in light activity. The median Work Limitations Questionnaire Index was 4.38; 6% of participants reported at least moderate impairment. Significant associations were reported for time spent in sedentary behavior before/after work (odds ratio [OR] = 2.58; 95% CI: 1.08 to 6.20) and in light activity, overall (OR = 0.43; 95% CI: 0.19 to 0.97) and during workday lunch hours (OR = 0.34; 95% CI: 0.15 to 0.77), and presenteeism.
Future studies should seek greater variation in employee levels of activity and presenteeism to confirm these relationships.
Journal of occupational and environmental medicine / American College of Occupational and Environmental Medicine 07/2013; · 1.88 Impact Factor
[show abstract][hide abstract] ABSTRACT: BACKGROUND: In Westernised societies adults are increasingly spending many hours each day in sedentary, low energy expenditure activities such as sitting. Although there is growing evidence on the relationship between television/screen time and increased cardiovascular disease mortality, very little is known about the association between total sitting time (in different domains) and cardiovascular disease incidence. We investigated this in a population-based cohort of mid-aged women in Australia. FINDINGS: Data were from 6154 participants in the 1946--51 birth cohort of the Australian Longitudinal Study on Women's Health who were free of cardiovascular disease at baseline. Survival analysis was used to determine the association between self-reported sitting time and cardiovascular disease incidence, determined through hospital diagnoses and cause of death data. During a mean (+/- SD) follow-up time of 9.9 +/- 1.2 years, 177 cases of cardiovascular disease occurred. Mean sitting time (+/- SD) was 5.4 +/- 2.6 hours a day. Sitting time was not associated with incident cardiovascular disease (adjusted hazard ratio 0.97, 95% CI 0.92 to 1.03). We found no interaction between physical activity and sitting time and cardiovascular disease. CONCLUSIONS: In mid-aged women sitting time does not appear to be associated with cardiovascular disease incidence. These findings are contrary to expectations, given the growing evidence of a relationship between sitting time and cardiovascular disease mortality. Research in this area is scarce and additional studies are needed to confirm or refute these findings.
International Journal of Behavioral Nutrition and Physical Activity 05/2013; 10(1):55. · 3.58 Impact Factor
[show abstract][hide abstract] ABSTRACT: To describe physical activity participation in three Queensland regional communities.
Cross-sectional mail survey of randomly selected residents, stratified by age and sex.
Esk, Mareeba and Mount Isa.
1219 (58% women) adults, with a mean age 46.7 (standard deviation 14.7) years.
Proportion of people inactive, meeting Australian activity guidelines (a minimum of 150 min week(-1) and five sessions week(-1) ) and walking a dog daily; time spent walking and cycling for transport; location and type of recreational physical activities.
Overall, 18% of respondents were inactive, with the highest proportions among women (22.3%) and older adults in Mount Isa (24.3%). The proportion meeting activity guidelines was 47%, with the lowest proportion among women in Mount Isa (40.4%). Although 63% reported owning a dog, only 22% reported walking a dog daily. Few people reported walking or cycling for transport. The most common types of activities were walking, home-based exercise, running/jogging and swimming, and the most common location was at or near home.
Physical activity levels were lower in these regional communities than the state average. The findings indicate a need for physical activity policy and intervention strategies targeting regional and rural areas. This could focus on women and older adults, dog walking and physical activity opportunities in or near the home.
Australian Journal of Rural Health 04/2013; 21(2):112-20. · 1.55 Impact Factor
[show abstract][hide abstract] ABSTRACT: BACKGROUND: Although guidelines suggest that vigorous physical activity (PA) confers 'extra' benefits compared with those from moderate intensity activity alone, the magnitude of this additional benefit is unclear. The aim was to compare the reduction in risk of hypertension (HT) and depressive symptoms (DS) over 12-years in mid-age women who reported (a) only moderate intensity (MOPA) PA and (b) a combination of moderate and vigorous PA (MVPA), after controlling for overall volume of activity. METHODS: The study involved 11285 participants in the Australian Longitudinal Study on Women's Health, who completed surveys in 1998 (age 46-52), 2001, 2004, 2007 and 2010. Generalised estimating equation models (with 3-year time lag) were used to examine the relationship between PA in 7 categories from 0 to >2000 MET.min/week, and occurrence of HT and DS, for women who reported MOPA or MVPA. RESULTS: For HT, risk was slightly lower for MVPA than for MOPA across the entire range of PA levels, but this difference was only significant at the highest PA level (>2000; OR=0.80 MOPA and 0.56 MVPA). For DS, ORs were similar in both groups up to 500 MET.min/week, then slightly lower for MVPA than for MOPA at higher PA levels. Again, this difference was only significant at the highest PA level (>2000; OR=0.57 MOPA and 0.42 MVPA). ORs were slightly attenuated in adjusted models. CONCLUSION: Doing both vigorous and moderate activity does not have significant additional benefits in terms of HT and DS, above those from moderate intensity activity alone, except at very high levels of PA.
Medicine & Science in Sports & Exercise 03/2013; · 4.48 Impact Factor
[show abstract][hide abstract] ABSTRACT: OBJECTIVE: This study aims to identify social, lifestyle, and reproductive history risk factors for night sweats (NS) only, hot flushes (HF) only, and both NS and HF. METHODS: Risk factors and symptoms among 10,454 participants of the Australian Longitudinal Study on Women's Health who were aged 45 to 50 years in 1996 were measured at baseline and 3-year intervals (surveys 2-6) for 15 years. Multinomial logistic regression analyses were performed. RESULTS: Compared with neither symptom, both symptoms together were reported less often by highly educated women (odds ratio, 0.61; 99.9% CI, 0.50-0.74), but more often by women who were heavier (odds ratio, 1.23; 99.9% CI, 1.08-1.40), were current smokers (odds ratio, 1.31; 99.9% CI, 1.09-1.56), were high-risk drinkers (odds ratio, 1.44; 99.9% CI, 1.10-1.89), were perimenopausal (odds ratio, 6.57; 99.9% CI, 5.52-7.82) or postmenopausal (odds ratio, 4.74; 99.9% CI, 4.00-5.63), had gained weight (odds ratio, 1.15; 99.9% CI, 1.01-1.31), or had premenstrual tension (odds ratio, 1.86; 99.9% CI, 1.48-2.34), than by women without these characteristics. HF only was reported less often by highly educated women (odds ratio, 0.73; 99.9% CI, 0.59-0.90), but more often by perimenopausal (odds ratio, 3.58; 99.9% CI, 2.95-4.35) or postmenopausal (odds ratio, 2.97; 99.9% CI, 2.47-3.57) women and by those with premenstrual tension (odds ratio, 1.60; 99.9% CI, 1.25-2.04). Finally, NS only was reported more often among current smokers (odds ratio, 1.55; 99.9% CI, 1.11-2.19), high-risk drinkers (odds ratio, 1.76; 99.9% CI, 1.04-2.97), perimenopausal women (odds ratio, 1.53; 99.9% CI, 1.14-2.06), those with diabetes (odds ratio, 1.91; 99.9% CI, 1.08-3.35), those with premenstrual tension (odds ratio, 1.67; 99.9% CI, 1.09-2.56), or those of early age at first pregnancy (odds ratio, 1.45; 99.9% CI, 1.05-1.99). CONCLUSIONS: The presence of both symptoms is associated with social, behavioral, and menstrual factors. Some differences in risk factors among women who report only one symptom or both symptoms are observed, suggesting a slightly different etiology for each.
Menopause (New York, N.Y.) 03/2013; · 3.08 Impact Factor
[show abstract][hide abstract] ABSTRACT: OBJECTIVES: Men living in regional and remote areas of Australia have higher prevalence of chronic disease and are less likely to meet physical activity (PA) guidelines compared to their major city counterparts. The study aimed to identify the characteristics of men living in a regional area of Australia who are at risk of not meeting PA guidelines and may benefit from workplace strategies to promote PA. DESIGN: Cross-sectional study. METHODS: 1722 men from 130 worksites participated in a workplace health-screening program in Ipswich and West Moreton (South East Queensland, Australia) from 2005 to 2011. Self-reported data on demographic characteristics, lifestyle choices, medical history, and PA levels were collected. Univariable and multivariable Poisson loglinear regression were used to estimate relative risks (RR) for not meeting PA guidelines. A post hoc analysis was performed to identify the characteristics of men who were most at risk of not meeting PA guidelines. RESULTS: The univariable model showed that men >40 years had 20% higher risks of not meeting PA guidelines than men <40 years (RR=1.20, CI=1.08-1.33). The multivariable model showed that men <40 years who had completed a trade certificate/diploma had the lowest risk of not meeting PA guidelines. Post hoc analysis showed that men >40 years and not educated beyond high school had the highest risk of not meeting PA guidelines (RR=1.91). CONCLUSIONS: Older and less educated men were most likely not to meet PA guidelines. PA promotion efforts in this region of Australia should target men with these characteristics, through tailored workplace intervention strategies.
Journal of science and medicine in sport / Sports Medicine Australia. 03/2013;
[show abstract][hide abstract] ABSTRACT: Abstract Objective. To conduct a systematic review to assess recruitment rates in workplace physical activity (PA) intervention studies and describe characteristics of studies with high recruitment rates. Data Source. Electronic and manual searches were conducted. Study inclusion and exclusion criteria. Workplace PA intervention studies that reported the number of employees invited to participate and the number who responded were included. Data Extraction. Studies with recruitment rates of ≥70% were categorized as high with the remaining studies (<70%) used as comparison. Key study characteristics were assessed. Data Synthesis. An approach called positive deviance was used to identify the extent to which study characteristics were unique to high recruitment rate. Results. Seventy-six percent of studies failed to report recruitment rates (n = 30 included for review). Studies with high recruitment rates (n = 8) tended to have longer study duration (mean 1.6 years) and target smaller cohorts of employees (mean n = 199) than comparison studies (3.9 months; n = 1241). For recruitment strategies and intervention components of high studies, involvement of employees was driven by the organization, with PA interventions provided as part of the working day in paid time. Conclusion. These findings suggest a potential to improve recruitment through targeting small cohorts of employees, incorporating PA as a long-term strategy, facilitating organizationally driven employee involvement, and providing PA interventions during paid time.
American journal of health promotion: AJHP 03/2013; · 2.37 Impact Factor
[show abstract][hide abstract] ABSTRACT: The aim of this study was to examine older adults' understanding and interpretation of a validated questionnaire for physical activity surveillance, the Active Australia Survey (AAS). To address this aim, cognitive interviewing techniques were used during face-to-face semi-structured interviews with 44 adults aged 65-89 years. Qualitative data analysis revealed that participants were confused with questionnaire phrasing, misunderstood the scope of activities to include in answers, and misunderstood the time frame of activities to report. They also struggled to accurately estimate the frequency and duration of their activities. Our findings suggest that AAS questions may be interpreted differently by older adults than intended by survey developers. Findings also suggest that older adults use a range of methods for calculating PA frequency and duration. The issues revealed in this study may be useful for adapting AAS for use in older community-dwelling adults.
[show abstract][hide abstract] ABSTRACT: OBJECTIVE: To compare three methods for assessing wear time from accelerometer data: automated, log-books and a combination of the two. DESIGN: Cross-sectional study. METHODS: Forty-five office workers wore an Actigraph GT3X accelerometer and kept a detailed activity log-book for 7 days. The automated method used six algorithms to determine non-wear time (20, 60, or 90min of consecutive zero counts with and without 2-min interruptions); the log-book method used participant recorded on/off times; the combined method used the 60-min automated filter (with ≤2min interruptions) plus detailed log-book data. Outcomes were number of participants with valid data, number of valid days, estimates of wear time and time spent in sedentary, light, moderate and vigorous activity. Percentage misclassification, sensitivity, specificity, and area under the receiver-operating curve were compared for each method, with the combined method as the reference. RESULTS: Using the combined method, 34 participants met criteria for valid wear time (≥10h/day, ≥4 days). Mean wear times ranged from 891 to 925min/day and mean sedentary time s from 438 to 490min/day. Percentage misclassification was higher and area under the receiver-operating curve was lower for the log-book method than for the automated methods. Percentage misclassification was lowest and area under the receiver-operating curve highest for the 20-min filter without interruptions, but this method had fewer valid days and participants than the 60 and 90-min filters without interruptions. CONCLUSIONS: Automated filters are as accurate as a combination of automated filters and log-books for filtering wear time from accelerometer data. Automated filters based on 90-min of consecutive zero counts without interruptions are recommended for future studies.
Journal of Science and Medicine in Sport 01/2013; · 2.90 Impact Factor
[show abstract][hide abstract] ABSTRACT: To quantify the association between daily total sitting and all-cause mortality risk and to examine dose-response relationships with and without adjustment for moderate-to-vigorous physical activity.
Studies published from 1989 to January 2013 were identified via searches of multiple databases, reference lists of systematic reviews on sitting and health, and from authors' personal literature databases. We included prospective cohort studies that had total daily sitting time as a quantitative exposure variable, all-cause mortality as the outcome and reported estimates of relative risk, or odds ratios or hazard ratios with 95% confidence intervals. Two authors independently extracted the data and summary estimates of associations were computed using random effects models.
Six studies were included, involving data from 595,086 adults and 29,162 deaths over 3,565,569 person-years of follow-up. Study participants were mainly female, middle-aged or older adults from high-income countries; mean study quality score was 12/15 points. Associations between daily total sitting time and all-cause mortality were not linear. With physical activity adjustment, the spline model of best fit had dose-response HRs of 1.00 (95% CI: 0.98-1.03), 1.02 (95% CI: 0.99-1.05) and 1.05 (95% CI: 1.02-1.08) for every 1-hour increase in sitting time in intervals between 0-3, >3-7 and >7 h/day total sitting, respectively. This model estimated a 34% higher mortality risk for adults sitting 10 h/day, after taking physical activity into account. The overall weighted population attributable fraction for all-cause mortality for total daily sitting time was 5.9%, after adjusting for physical activity.
Higher amounts of daily total sitting time are associated with greater risk of all-cause mortality and moderate-to-vigorous physical activity appears to attenuate the hazardous association. These findings provide a starting point for identifying a threshold on which to base clinical and public health recommendations for overall sitting time, in addition to physical activity guidelines.
PLoS ONE 01/2013; 8(11):e80000. · 3.73 Impact Factor
[show abstract][hide abstract] ABSTRACT: OBJECTIVE: To explore longitudinal associations between sitting and physical and psychological symptoms in mid-age women. METHOD: Mid-age (53-58 years) participants in the Australian Longitudinal Study on Women's Health completed mail surveys in 2004 (n=10286), 2007 (n=10128) and 2010 (n=9452) with questions about sitting time (<6, 6-9, and ≥9 hours/day) and frequency of 19 symptoms in the preceding 12 months (often vs. never/rarely/sometimes). Associations between sitting and symptoms were examined using two logistic generalized estimating equations models: (a) sequential cross-sectional data from 3 surveys, and (b) prospective model with a 3-year time lag (significance level=0.01). RESULTS: Approximately 53%, 30% and 17% of the women were classified as sitting <6, 6-9 and ≥9 hours/day in 2004. In adjusted cross-sectional models, women sitting≥9 hours/day had significantly higher odds of breathing difficulties (OR=1.52, 99%CI=1.17-2.00), tiredness (OR=1.21, CI=1.05-1.40), bowel problems (OR=1.26, CI=1.02-1.56), eyesight problems (OR=1.16, CI=1.01-1.34), and depression (OR=1.39, CI=1.15-1.68) than women sitting<6 hours/day. Adjusted prospective models showed higher odds of breathing difficulties (OR=1.94, CI=1.40-2.69), chest pain (OR=2.04, CI=1.14-3.70), and tiredness (OR=1.24, CI=1.04-1.48). Associations with breathing difficulties and chest pain remained significant after excluding participants with chronic conditions in 2004. CONCLUSION: Prolonged sitting may a determinant of breathing difficulties and chest pain three years later in mid-age women.
[show abstract][hide abstract] ABSTRACT: Aim: Current recommendations suggest that older Australians (defined here as ≥65 years of age) should, for health benefits, accumulate 30 minutes of at least moderate intensity physical activity on most days each week. The aim of this study was to determine the proportion who meets this recommendation. Method: Systematic review of scholarly journals published between 1 January 2000 and 5 October 2010. Results: Of 357 potentially relevant papers, 22 met the study criteria. Estimates from the 15 studies with samples >500 suggest that between 25% and 55% of Australians ≥65 years were meeting guidelines, but in these studies definitions, measures and age ranges of participants varied widely. Discussion: Because of the heterogeneity of samples, measures and definitions, it is not possible to estimate with confidence the proportion of older adults in Australia who meet current physical activity recommendations.
Australasian Journal on Ageing 12/2012; 31(4):208-17. · 0.94 Impact Factor
[show abstract][hide abstract] ABSTRACT: OBJECTIVES: Physical activity can promote well-being and assist in the prevention and management of psychological symptoms. The aim of this study was to identify what physical activity contexts are preferred by adults with psychosocial difficulties. DESIGN: Cross-sectional population based study. METHODS: Data were from a mail survey of 7873 adults aged 42-67 years. Psychosocial difficulties were assessed using the Kessler6, and categorized as no distress (0-7) or distress (8-24). Respondents indicated the extent to which they disagreed or agreed with a preference for each of 14 activity contexts, and were categorized as disagree, no preference, or agree. Data were analyzed using (1) descriptive statistics and (2) multi-level multinomial logistic regression with adjustment for sociodemographic and health variables; adjusted odds ratios and 95% confidence intervals are reported. RESULTS: Approximately 12% of respondents were categorized as psychologically distressed. Over 60% of distressed respondents disagreed with a preference for competitive activities; and agreed with a preference for activities that can be done close to home, involve little or no cost, can be done alone, are done outdoors, and that are not just about exercise. Distressed respondents had higher odds to prefer supervised activities (1.64; 1.32-2.03), activities done with people of the same sex (1.41; 1.12-1.78), and activities done at a fixed time with scheduled sessions (1.32; 1.08-1.62) than those without distress. CONCLUSIONS: Mid-aged adults with psychological distress have specific physical activity context preferences. These preferences could be incorporated into the planning and promotion of physical activity opportunities for people with psychosocial difficulties.
Journal of science and medicine in sport / Sports Medicine Australia. 11/2012;
[show abstract][hide abstract] ABSTRACT: PURPOSE: The aim was to assess the effects of a Tai Chi-based program on health-related quality of life (HR-QOL) in people with elevated blood glucose or diabetes who were not on medication for glucose control. METHOD: 41 participants were randomly allocated to either a Tai Chi intervention group (N = 20) or a usual medical-care control group (N = 21). The Tai Chi group involved 3 × 1.5 h supervised and group-based training sessions per week for 12 weeks. Indicators of HR-QOL were assessed by self-report survey immediately prior to and after the intervention. RESULTS: There were significant improvements in favor of the Tai Chi group for the SF36 subscales of physical functioning (mean difference = 5.46, 95 % CI = 1.35-9.57, P < 0.05), role physical (mean difference = 18.60, 95 % CI = 2.16-35.05, P < 0.05), bodily pain (mean difference = 9.88, 95 % CI = 2.06-17.69, P < 0.05) and vitality (mean difference = 9.96, 95 % CI = 0.77-19.15, P < 0.05). CONCLUSIONS: The findings show that this Tai Chi program improved indicators of HR-QOL including physical functioning, role physical, bodily pain and vitality in people with elevated blood glucose or diabetes who were not on diabetes medication.
Quality of Life Research 11/2012; · 2.41 Impact Factor