Suchergebnisse

BACKGROUND: Few studies have examined relationships between physical activity (PA) during mid-age and health costs in women. The aim of this study was to investigate associations between PA levels and trajectories over 12 years with medical and pharmaceutical costs in mid-age Australian women. METHODS: Data from 6953 participants in the Australian Longitudinal Study on Women's Health (born in 1946–1951) were analysed in 2019. PA was self-reported in 2001 (50-55y), 2007 (56-61y) and 2013 (62-67y). PA data were linked with 2013–2015 data from the Medicare (MBS) and Pharmaceutical (PBS) Benefits Schemes. Quantile regression was used to examine associations between PA patterns [always active, increasers, decreasers, fluctuaters or always inactive (reference)] with these medical and pharmaceutical costs. RESULTS: Among women who were consistently inactive (< 500 MET.minutes/week) in 2001, 2007 and 2013, median MBS and PBS costs (2013 to 2015) were AUD4261 and AUD1850, respectively. Those costs were AUD1728 (95%CI: 443–3013) and AUD578 (95%CI: 426–729) lower among women who were consistently active in 2001, 2007 and 2013 than among those who were always inactive. PBS costs were also lower in women who were active at only one survey (AUD205; 95%CI: 49–360), and in those whose PA increased between 2001 and 2013 (AUD388; 95%CI: 232–545). CONCLUSION: Maintaining 'active' PA status was associated with 40% lower MBS and 30% lower PBS costs over three years in Australian women. Helping women to remain active in mid-life could result in considerable savings for both women and the Australian government.

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.

Purpose. To compare the effectiveness of home- and group-based, progressive resistance training programs and a group walking program in improving functional performance in older adults. Design. A quasi-experimental trial, in which retirement villages were assigned to one of three groups: home-based resistance training, group-based resistance training and group-based walking. Subjects. One hundred sixty-seven retirement village residents aged 65 to 96 years. Intervention. Nine resistance training exercises, using graded exercise bands and body weight, two balance exercises, and 10 stretches. Home-based participants were given an exercise booklet, 8 hours of instruction, and telephone support. Instructors supervised the group-based resistance training and walking programs. Each group exercised twice weekly for 20 weeks. Measures. Functional performance (strength, aerobic endurance, flexibility, and agility/dynamic balance) was assessed using the Senior Fitness Test. Analysis. Intervention effects were evaluated using mixed-model, repeated measures analysis of variance. Results. Significant between-group differences were observed only for the lower-body flexibility test. Group resistance training participants improved, but home resistance training and walking participants did not. However, strength, lower-body flexibility, and agility/dynamic balance improved in the group-based resistance training participants, and strength and upper-body flexibility improved in the home-based participants. No improvements were observed in the walking group. Conclusion. Findings support the implementation of both home- and group-based resistance training programs in retirement villages. Encouraging residents to adopt and maintain a resistance training program remains a research priority.

Background. Shift work is characterized by employees working outside the standard hours of 7:00 am to 6:00 pm. Because shift work includes night work, the normal sleep–wake cycle (circadian rhythm) is disrupted, with potential consequences for shift workers' physical and mental health. Objectives. To assess the pooled effects of shift work on mental health and to evaluate whether these differ in men and women. Search Methods. We searched PubMed, Scopus, and Web of Science databases for peer-reviewed or government reports published up to August 2018 Selection Criteria. To be included, studies had to be longitudinal or case–control studies of shift work exposure associated with adverse mental health outcomes. For subanalyses, we grouped these outcomes as anxiety symptoms, depressive symptoms, or general poor mental health symptoms. Data Collection and Analysis. We followed the Meta-Analysis of Observational Studies in Epidemiology Group guidelines. We extracted adjusted risk estimates for each study to calculate pooled effect sizes (ESs) using random effect models and metaregression analysis to explore sources of heterogeneity. Main Results. We included 7 longitudinal studies, with 28 431 unique participants. Shift work was associated with increased overall risk of adverse mental health outcomes combined (ES = 1.28; 95% confidence interval [CI] = 1.02, 1.62; I(2) = 70.6%) and specifically for depressive symptoms (ES = 1.33; 95% CI = 1.02, 1.74; I(2) = 31.5%). Gender differences explained more than 90% of heterogeneity, with female shift workers more likely to experience depressive symptoms than female non–shift workers (odds ratio = 1.73; 95% CI = 1.39, 2.14). Authors' Conclusions. To our knowledge, this is the first meta-analysis to investigate the pooled effects of shift work on the risk of poor mental health, including subanalyses by type of poor mental health and gender. Shift workers, particularly women, are at increased risk for poor mental health, particularly depressive symptoms. Public Health ...

Closed access until 1 July 2015 ; Postpartum physical activity can improve mood, maintain cardiorespiratory fitness, improve weight control, promote weight loss, and reduce depression and anxiety. This review summarizes current guidelines for postpartum physical activity worldwide. PubMed (MEDLINE) was searched for country-specific government and clinical guidelines on physical activity after pregnancy through the year 2013. Only the most recent guideline was included in the review. An abstraction form facilitated extraction of key details and helped to summarize results. Six guidelines were identified from 5 countries (Australia, Canada, Norway, United Kingdom, and United States). All guidelines were embedded within pregnancy-related physical activity recommendations. All provided physical activity advice related to breastfeeding and 3 remarked about physical activity after cesarean delivery. Recommended physical activities mentioned in the guidelines included aerobic (3/6), pelvic floor exercise (3/6), strengthening (2/6), stretching (2/6), and walking (2/6). None of the guidelines discussed sedentary behavior. The guidelines that were identified lacked specificity for physical activity. Greater clarity in guidelines would be more useful to both practitioners and the women they serve. Postpartum physical activity guidelines have the potential to assist women to initiate or resume physical activity after childbirth so that they can transition to meeting recommended levels of physical activity. Health care providers have a critical role in encouraging women to be active at this time, and the availability of more explicit guidelines may assist them to routinely include physical activity advice in their postpartum care.

Interrelationships between neighborhood walkability, area disadvantage, and crime may contribute to the inconsistent associations between crime and walking. We examined associations between crime and walking, and tested for differences by neighborhood disadvantage while addressing these additional complexities. Participants ( n = 6,680) from 200 neighborhoods spanning the most and least disadvantaged in Brisbane, Australia, completed a questionnaire and objective measures were generated for the individual-level 1,000-m neighborhood. Multilevel models examined associations between crime (perceived and objective) and walking (recreational and transport), and interactions tested for differences by neighborhood disadvantage. High perceived crime was associated with reduced odds of transport walking, whereas high objective crime was associated with increased odds of transport walking. Patterns did not differ by neighborhood disadvantage. In disadvantaged neighborhoods, the "negative" criminogenic attributes were insufficient to outweigh the "positive" walkability attributes, producing similar walking patterns to advantaged neighborhoods where residents were dislocated from local destinations but buffered from crime.

Purpose: To explore whether there was a difference in objectively measured physical activity and study participation between people who received their preferred study group allocation (matched) and those who did not receive their preferred study group (mismatched). Design: Secondary data from the NewCOACH randomized controlled trial. Setting: Insufficiently active patients in the primary care settings in Sydney and Newcastle, Australia. Participants: One hundred seventy-two adults aged 20 to 81 years. Intervention: Participants indicated their intervention preference at baseline for (1) five face-to-face visits with an exercise specialist, (2) one face-to-face visit and 4 telephone follow-ups with an exercise specialist, (3) written material, or (4) slight-to-no preference. Participants were then allocated to an intervention group and categorized as either "matched" or "mismatched" based on their indications. Participants who reported a slight-to-no preference was categorized as "matched." Measures: Daily step count as measured by pedometers and study participation. Analysis: Mean differences between groups in daily step count at 3 and 12 months (multiple linear regression models) and study participation at baseline, 3 months, and 12 months (χ2 tests). Results: Preference for an intervention group prior to randomization did not significantly (all P's > .05 using 95% confidence interval) impact step counts (differences of <600 steps/day between groups) or study participation. Conclusion: Future research should continue to address whether the strength of preferences influence study outcome and participation and whether the study preferences change over time.