9 results on '"Winkler, Elisabeth AH"'
Search Results
2. Economic evaluation of a randomized controlled trial of an intervention to reduce office workers' sitting time : the "Stand Up Victoria" trial
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Gao, Lan, Flego, Anna, Dunstan, David W, Winkler, Elisabeth AH, Healy, Genevieve N, Eakin, Elizabeth G, Willenberg, Lisa, Owen, Neville, LaMontagne, Anthony D, Lal, Anita, Wiesner, Glen H, Hadgraft, Nyssa T, and Moodie, Marj L
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- 2018
3. Active adults recall their physical activity differently to less active adults: Test-retest reliability and validity of a physical activity survey
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Fjeldsoe, Brianna S, Winkler, Elisabeth AH, Marshall, Alison L, Eakin, Elizabeth G, and Reeves, Marina M
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- 2013
4. Validity of a multi-context sitting questionnaire across demographically diverse population groups: AusDiab3.
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Clark, Bronwyn K., Lynch, Brigid M., Winkler, Elisabeth AH, Gardiner, Paul A., Healy, Genevieve N., Dunstan, David W., and Owen, Neville
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COMPUTERS ,CONFIDENCE intervals ,STATISTICAL correlation ,DEMOGRAPHY ,RESEARCH methodology ,PROBABILITY theory ,QUESTIONNAIRES ,RESEARCH funding ,SELF-evaluation ,SITTING position ,STATISTICAL hypothesis testing ,STATISTICS ,TELEVISION ,TIME ,TRANSPORTATION ,WORK ,DATA analysis ,SOCIOECONOMIC factors ,BODY mass index ,ACCELEROMETRY ,RESEARCH methodology evaluation ,SEDENTARY lifestyles ,DATA analysis software ,DIARY (Literary form) ,DESCRIPTIVE statistics - Abstract
Background: Sitting time questionnaires have largely been validated in small convenience samples. The validity of this multi-context sitting questionnaire against an accurate measure of sitting time is reported in a large demographically diverse sample allowing assessment of validity in varied demographic subgroups. Methods: A subgroup of participants of the third wave of the Australian Diabetes, Obesity, and Lifestyle (AusDiab3) study wore activPAL3™ monitors (7 days, 24 hours/day protocol) and reported their sitting time for work, travel, television viewing, leisure computer use and "other" purposes, on weekdays and weekend days (n = 700, age 36-89 years, 45 % men). Correlations (Pearson's r; Spearman's p) of the self-report measures (the composite total, contextual measures and items) with monitor-assessed sitting time were assessed in the whole sample and separately in socio-demographic subgroups. Agreement was assessed using Bland-Altman plots. Results: The composite total had a correlation with monitor-assessed sitting time of r = 0.46 (95 % confidence interval [CI]: 0.40, 0.52); this correlation did not vary significantly between demographic subgroups (all >0.4). The contextual measure most strongly correlated with monitor-assessed sitting time was work (p = 0.25, 95 % CI: 0.17, 0.31), followed by television viewing (p = 0.16, 95 % CI: 0.09, 0.24). Agreement of the composite total with monitored sitting time was poor, with a positive bias (B = 0.53, SE 0.04, p < 0.001) and wide limits of agreement (±4.32 h). Conclusions: This multi-context questionnaire provides a total sitting time measure that ranks participants well for the purposes of assessing health associations but has limited accuracy relative to activPAL-assessed sitting time. Findings did not differ in demographic subgroups. [ABSTRACT FROM AUTHOR]
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- 2015
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5. Reducing office workers' sitting time: rationale and study design for the Stand Up Victoria cluster randomized trial.
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Dunstan, David W, Wiesner, Glen, Eakin, Elizabeth G, Neuhaus, Maike, Owen, Neville, Lamontagne, Anthony D, Moodie, Marj, Winkler, Elisabeth Ah, Fjeldsoe, Brianna S, Lawler, Sheleigh, Healy, Genevieve N, and Winkler, Elisabeth A H
- Abstract
Background: Excessive time spent in sedentary behaviours (sitting or lying with low energy expenditure) is associated with an increased risk for type 2 diabetes, cardiovascular disease and some cancers. Desk-based office workers typically accumulate high amounts of daily sitting time, often in prolonged unbroken bouts. The Stand Up Victoria study aims to determine whether a 3-month multi-component intervention in the office setting reduces workplace sitting, particularly prolonged, unbroken sitting time, and results in improvements in cardio-metabolic biomarkers and work-related outcomes, compared to usual practice.Methods/design: A two-arm cluster-randomized controlled trial (RCT), with worksites as the unit of randomization, will be conducted in 16 worksites located in Victoria, Australia. Work units from one organisation (Department of Human Services, Australian Government) will be allocated to either the multi-component intervention (organisational, environmental [height-adjustable workstations], and individual behavioural strategies) or to a usual practice control group. The recruitment target is 160 participants (office-based workers aged 18-65 years and working at least 0.6 full time equivalent) per arm. At each assessment (0- [baseline], 3- [post intervention], and 12-months [follow-up]), objective measurement via the activPAL3 activity monitor will be used to assess workplace: sitting time (primary outcome); prolonged sitting time (sitting time accrued in bouts of ≥30 minutes); standing time; sit-to-stand transitions; and, moving time. Additional outcomes assessed will include: non-workplace activity; cardio-metabolic biomarkers and health indicators (including fasting glucose, lipids and insulin; anthropometric measures; blood pressure; and, musculoskeletal symptoms); and, work-related outcomes (presenteeism, absenteeism, productivity, work performance). Incremental cost-effectiveness and identification of both workplace and individual-level mediators and moderators of change will also be evaluated.Discussion: Stand Up Victoria will be the first cluster-RCT to evaluate the effectiveness of a multi-component intervention aimed at reducing prolonged workplace sitting in office workers. Strengths include the objective measurement of activity and assessment of the intervention on markers of cardio-metabolic health. Health- and work-related benefits, as well as the cost-effectiveness of the intervention, will help to inform future occupational practice.Trial Registration: ACTRN1211000742976. [ABSTRACT FROM AUTHOR]- Published
- 2013
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6. Correlates of Omani adults’ physical inactivity and sitting time – Corrigendum.
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Mabry, Ruth M, Winkler, Elisabeth AH, Reeves, Marina M, Eakin, Elizabeth G, and Owen, Neville
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SEDENTARY behavior , *PUBLIC health periodicals , *NUTRITION , *PUBLISHING , *PERIODICAL articles - Published
- 2012
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7. Relationship of television time with accelerometer-derived sedentary time: NHANES
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Bronwyn K. Clark, Paula Gardiner, Genevieve N. Healy, Neville Owen, Charles E. Matthews, David W. Dunstan, Takemi Sugiyama, Elisabeth A. H. Winkler, Clark, Bronwyn K, Healy, Genevieve N, Winkler, Elisabeth AH, Gardiner, Paul A, Sugiyama, Takemi, Dunstan, David W, Matthews, Charles E, and Owen, Neville
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Adult ,Male ,Gerontology ,Cross-sectional study ,Population ,Ethnic group ,Physical Therapy, Sports Therapy and Rehabilitation ,Spearman's rank correlation coefficient ,Article ,Correlation ,Young Adult ,sedentary behavior ,Linear regression ,gender ,Humans ,Orthopedics and Sports Medicine ,Young adult ,education ,Aged ,Sedentary time ,education.field_of_study ,race/ethnicity ,Middle Aged ,Nutrition Surveys ,Actigraphy ,United States ,work status ,Cross-Sectional Studies ,age ,Linear Models ,Female ,Television ,measurement ,Sedentary Behavior ,Psychology - Abstract
CLARK, B. K., G. N. HEALY, E. A. H. WINKLER, P. A. GARDINER, T. SUGIYAMA, D. W. DUNSTAN, C. E. MATTHEWS, and N. OWEN. Relationship of Television Time with Accelerometer-Derived Sedentary Time: NHANES. Med. Sci. Sports Exerc., Vol. 43, No. 5, pp. 822-828, 2011. Purpose: To examine the relationship of self-reported television (TV) viewing time with accelerometer-derived total sedentary time and to determine whether it differs by subgroup. Methods: Using data for adults (>= 20 yr) from the 2003-2004 and 2005-2006 nationally representative US National Health and Nutrition Examination Surveys (NHANES; n = 5738), linear regression models examined the associations of categories of self-reported TV viewing time (< 1, 1, 2, 3, 4, and 95 h.d(-1)) with accelerometer-derived sedentary time (< 100 counts per minute; h.d(-1)). Spearman rho assessed the correlation between participants' rankings on the two measures. Analyses were stratified by gender, age, race/ethnicity, and, in the 2003-2004 NHANES cycle, by work status among working-aged adults (20-65 yr, n = 2069). Results: TV viewing time was significantly associated with sedentary time, with positive associations for all gender, age, race/ethnicity groups, and for those not working or working part-time, but not for those in full-time work. However, correlations between rankings of the measures were only "fair" overall (rho = 0.22) and were similar for all gender and racial/ethnic groups and for those of mid- and older age but not for those of younger age (20-39 yr, rho = 0.05). In the working-aged subgroup, there was also a fair correlation between the measures for those not working (rho = 0.22) but no significant correlation for those in part-time (rho = 0.14) or full-time work (rho = 0.03). Conclusions: Associations of TV viewing time with accelerometer-derived total sedentary time were statistically significant, but correlations were of only fair magnitude, and the strength of the relationship was not consistent across all population subgroups. These findings suggest that TV viewing time has an influence on overall sedentary time at a population level; however, measurement of sedentary time in other domains is also important.
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- 2011
8. Assessing the Feasibility and Pre-Post Impact Evaluation of the Beta (Test) Version of the BeUpstanding Champion Toolkit in Reducing Workplace Sitting: Pilot Study.
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Healy GN, Eakin EG, Winkler EA, Hadgraft N, Dunstan DW, Gilson ND, and Goode AD
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Background: The Web-based, evidence-informed BeUpstanding Champion Toolkit was developed to provide employers (via a "train-the-champion approach") with resources and support to help in reducing prolonged sitting in their own desk-based workplace. As part of a five-phase research-to-dissemination process, this study reports on the evaluation of the beta (test) version of this toolkit (Phase 2)., Objective: The objective of our study was to evaluate (1) the implementation of the toolkit by workplace champions and (2) the impact of the toolkit on sitting (primary outcome), standing, and moving; use of activity-promoting strategies; knowledge and attitudes; and indicators of health and work performance., Methods: An implementation study using a pre-post design was conducted in 7 desk-based workplaces in Australia (September 2015 to May 2016), with work teams (one per workplace) purposively recruited to ensure representation across a range of sectors (white- or blue-collar), organizational sizes (small or medium or large), and locations (metropolitan or regional). All staff within participating teams were invited to participate in the relevant toolkit activities. Implementation outcomes (time commitment required by champions and toolkit activities completed) were collected from each champion via telephone interviews. Changes in impact outcomes, measured via a Web-based questionnaire completed by employees at baseline and 3 months postimplementation, were assessed using mixed models, correcting for clustering., Results: Champions reported a 30-60 minutes per week time commitment to the toolkit activities. All teams formed a wellbeing committee and sent the staff surveys at both time points; most champions held a staff consultation workshop (6/7), identified team-level strategies within that workshop (5/7), used the communication resources provided within the toolkit (emails, posters; 6/7), and completed the action plan (5/7). In total, 52% (315 of ≈600) employees participated in at least one survey and 97 (16%) participated in both. At follow-up, there was a significant (P<.05) reduction in self-reported workplace sitting time compared to baseline (-6.3%, 95% CI -10.1 to -2.5; n=85) equating to ≈30 minutes per workday. Significant benefits were also observed for the use of activity-promoting strategies, with small, nonsignificant changes observed for knowledge and attitudes and indicators of health and work performance., Conclusions: The beta version of the BeUpstanding Champion Toolkit was feasible to implement and effective in reducing self-reported workplace sitting across a broad range of desk-based workplaces. The next phase (Phase 3) will build on these findings to optimize the toolkit for wider-scale implementation and longer term evaluation., (©Genevieve Nissa Healy, Elizabeth G Eakin, Elisabeth AH Winkler, Nyssa Hadgraft, David W Dunstan, Nicholas D Gilson, Ana D Goode. Originally published in JMIR Formative Research (http://formative.jmir.org), 28.08.2018.)
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- 2018
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9. Usage, Acceptability, and Effectiveness of an Activity Tracker in a Randomized Trial of a Workplace Sitting Intervention: Mixed-Methods Evaluation.
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Brakenridge CL, Healy GN, Winkler EA, and Fjeldsoe BS
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Background: Wearable activity trackers are now a common feature of workplace wellness programs; however, their ability to impact sitting time (the behavior in which most of the desk-based workday is spent) is relatively unknown. This study evaluated the LUMOback, an activity tracker that targets sitting time, as part of a cluster-randomized workplace sitting intervention in desk-based office workers., Objective: Study objectives were to explore: (1) office workers' self-directed LUMOback use, (2) individual-level characteristics associated with LUMOback use, (3) the impact of LUMOback use on activity and sitting behaviors, and (4) office workers' perceived LUMOback acceptability., Methods: Exploratory analyses were conducted within the activity tracker intervention group (n=66) of a 2-arm cluster-randomized trial (n=153) with follow-up at 3 and 12 months. The intervention, delivered from within the workplace, consisted of organizational support strategies (eg, manager support, emails) to stand up, sit less, and move more, plus the provision of a LUMOback activity tracker. The LUMOback, worn belted around the waist, provides real-time sitting feedback through a mobile app. LUMOback usage data (n=62), Web-based questionnaires (n=33), activPAL-assessed sitting, prolonged (≥30 min bouts) and nonprolonged (<30 min bouts) sitting, standing and stepping time (7-day, 24 h/day protocol; n=40), and telephone interviews (n=27) were used to evaluate study aims. LUMOback usage data were downloaded and described. Associations between user characteristics and LUMOback usage (in the first 3 months) were analyzed using zero-inflated negative binomial models. Associations between LUMOback usage and 3-month activity outcomes were analyzed using mixed models, correcting for cluster. LUMOback acceptability was explored using 3-month questionnaire data and thematic analysis of telephone interviews (conducted 6 to 10 months post intervention commencement)., Results: Tracker uptake was modest (43/61, 70%), and among users, usage over the first 3 months was low (1-48 days, median 8). Usage was greatest among team leaders and those with low self-perceived scores for job control and supervisor relationships. Greater tracker use (≥5 days vs <5 days) was significantly associated only with changes in prolonged unbroken sitting (-50.7 min/16 h; 95% CI -94.0 to -7.3; P=.02) during all waking hours, and changes in nonprolonged sitting (+32.5 min/10 h; 95% CI 5.0 to 59.9; P=.02) during work hours. Participants found the LUMOback easy to use but only somewhat comfortable. Qualitatively, participants valued the real-time app feedback. Nonuptake was attributed to being busy and setup issues. Low usage was attributed to discomfort wearing the LUMOback., Conclusions: The LUMOback-although able to reduce prolonged sitting time-was only used to a limited extent, and its low usage may provide a partial explanation for the limited behavior changes that occurred. Discomfort limited the feasibility of the LUMOback for ongoing use. Such findings yield insight into how to improve upon implementing activity trackers in workplace settings., (©Charlotte L Brakenridge, Genevieve N Healy, Elisabeth AH Winkler, Brianna S Fjeldsoe. Originally published in the Interactive Journal of Medical Research (http://www.i-jmr.org/), 02.03.2018.)
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- 2018
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