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Guðmundsdóttir SL, Berger C, Macdonald H, Adachi JD, Hopman WM, Kaiser SM, Kovacs CS, Davison KS, Morin SN, Goltzman D, Prior JC. Sedentary behavior does not predict low BMD nor fracture-population-based Canadian Multicentre Osteoporosis Study. J Bone Miner Res 2024; 39:231-240. [PMID: 38477796 DOI: 10.1093/jbmr/zjae004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Revised: 11/03/2023] [Accepted: 11/10/2023] [Indexed: 03/14/2024]
Abstract
Sedentary behavior (SB) or sitting is associated with multiple unfavorable health outcomes. Bone tissue responds to imposed gravitational and muscular strain with there being some evidence suggesting a causal link between SB and poor bone health. However, there are no population-based data on the longitudinal relationship between SB, bone change, and incidence of fragility fractures. This study aimed to examine the associations of sitting/SB (defined as daily sitting time), areal BMD (by DXA), and incident low trauma (fragility) osteoporotic fractures (excluding hands, feet, face, and head). We measured baseline (1995-7) and 10-yr self-reported SB, femoral neck (FN), total hip (TH), and lumbar spine (L1-L4) BMD in 5708 women and 2564 men aged 25 to 80+ yr from the population-based, nationwide, 9-center Canadian Multicentre Osteoporosis Study. Incident 10-yr fragility fracture data were obtained from 4624 participants; >80% of fractures were objectively confirmed by medical records or radiology reports. Vertebral fractures were confirmed by qualitative morphological methods. All analyses were stratified by sex. Multivariable regression models assessed SB-BMD relationships; Cox proportional models were fit for fracture risk. Models were adjusted for age, height, BMI, physical activity, and sex-specific covariates. Women in third/fourth quartiles had lower adjusted FN BMD versus women with the least SB (first quartile); women in the SB third quartile had lower adjusted TH BMD. Men in the SB third quartile had lower adjusted FN BMD than those in SB first quartile. Neither baseline nor stable 10-yr SB was related to BMD change nor to incident fragility fractures. Increased sitting (SB) in this large, population-based cohort was associated with lower baseline FN BMD. Stable SB was not associated with 10-yr BMD loss nor increased fragility fracture. In conclusion, habitual adult SB was not associated with subsequent loss of BMD nor increased risk of fracture.
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Affiliation(s)
- Sigríður Lára Guðmundsdóttir
- School of Education, Department of Health Promotion, Sport and Leisure Studies, University of Iceland, 101 Reykjavik, Iceland
| | - Claudie Berger
- Centre for Outcomes Research and Evaluation (CORE), Research Institute of the McGill University Health Centre, Montreal, QC H3H 2R9, Canada
| | - Heather Macdonald
- Department of Family Practice, Faculty of Medicine, University of British Columbia, Vancouver, BC V6T 2A1, Canada
- Active Aging Research Team, Faculty of Medicine, University of British Columbia, Vancouver, BC V5Z 1M9, Canada
| | - Jonathan D Adachi
- Department of Medicine, McMaster University, Hamilton, ON L8N 3Z5, Canada
| | - Wilma M Hopman
- Kingston General Hospital Research Institute, Kingston Health Sciences Centre, Kingston, ON K7L 2V7, Canada
- Department of Public Health Sciences, Queen's University, Kingston, ON K7L 3N6, Canada
| | - Stephanie M Kaiser
- Department of Medicine, Dalhousie University, Halifax, NS B3H 2Y9, Canada
| | - Christopher S Kovacs
- Discipline of Medicine/Endocrinology, Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL A1B 3V6, Canada
| | | | - Suzanne N Morin
- Centre for Outcomes Research and Evaluation (CORE), Research Institute of the McGill University Health Centre, Montreal, QC H3H 2R9, Canada
- Department of Medicine, McGill University Health Center, Montreal, QC H4A 3J1, Canada
| | - David Goltzman
- Centre for Outcomes Research and Evaluation (CORE), Research Institute of the McGill University Health Centre, Montreal, QC H3H 2R9, Canada
- Department of Medicine, McGill University Health Center, Montreal, QC H4A 3J1, Canada
| | - Jerilynn C Prior
- Division of Endocrinology, Department of Medicine, Centre for Menstrual Cycle and Ovulation Research, University of British Columbia, Vancouver, BC V5Z 1M9, Canada
- School of Population and Public Health, Faculty of Medicine, University of British Columbia, Vancouver, BC V6T 1Z3, Canada
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Knowlden AP, Ottati M, McCallum M, Allegrante JP. The relationship between sleep quantity, sleep quality and weight loss in adults: A scoping review. Clin Obes 2024; 14:e12634. [PMID: 38140746 PMCID: PMC10939867 DOI: 10.1111/cob.12634] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 08/22/2023] [Accepted: 12/01/2023] [Indexed: 12/24/2023]
Abstract
Sleep is hypothesized to interact with weight gain and loss; however, modelling this relationship remains elusive. Poor sleep perpetuates a cascade of cardiovascular and metabolic consequences that may not only increase risk of adiposity, but also confound weight loss efforts. We conducted a scoping review to assess the research on sleep and weight loss interventions. We searched six databases for studies of behavioural weight loss interventions that included assessments of sleep in the general, non-clinical adult human population. Our synthesis focused on dimensions of Population, Intervention, Control, and Outcomes (PICO) to identify research and knowledge gaps. We identified 35 studies that fell into one of four categories: (a) sleep at baseline as a predictor of subsequent weight loss during an intervention, (b) sleep assessments after a history of successful weight loss, (c) concomitant changes in sleep associated with weight loss and (d) experimental manipulation of sleep and resulting weight loss. There was some evidence of improvements in sleep in response to weight-loss interventions; however, randomized controlled trials of weight loss interventions tended not to report improvements in sleep when compared to controls. We conclude that baseline sleep characteristics may predict weight loss in studies of dietary interventions and that sleep does not improve because of weight loss alone. Future studies should enrol large and diverse, normal, overweight and obese short sleepers in trials to assess the efficacy of sleep as a behavioural weight loss treatment.
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Affiliation(s)
- Adam P Knowlden
- Department of Health Science, The University of Alabama, Tuscaloosa, Alabama, USA
| | - Megan Ottati
- Department of Health Studies and Applied Educational Psychology, Teachers College, Columbia University, New York, New York, USA
| | - Meaghan McCallum
- Research Operations, Behavioral Science, Noom Inc., New York, New York, USA
| | - John P Allegrante
- Department of Health Studies and Applied Educational Psychology, Teachers College, Columbia University, New York, New York, USA
- Department of Sociomedical Sciences, Mailman School of Public Health, Columbia University, New York, New York, USA
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Ghobadi K, Eslami A, Pirzadeh A, Mazloomi SM, Hosseini F. Assessment of Questionnaire of Physical Activity at Workplace Based on the Social Cognitive Theory (PAWPQ-SCT): A Psychometric Study in Iranian Gas Refinery Workers. Saf Health Work 2023; 14:358-367. [PMID: 38187199 PMCID: PMC10770059 DOI: 10.1016/j.shaw.2023.09.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 08/20/2023] [Accepted: 09/12/2023] [Indexed: 01/09/2024] Open
Abstract
Background This study aimed to develop and assess the psychometric features of the Physical Activity at Workplace Questionnaire (PAWPQ) based on the Social Cognitive Theory (SCT) to evaluate employees' physical activity (PA) behaviors at the workplace. Methods This psychometric cross-sectional study was conducted on 455 employees working in one of the gas refineries in Iran. The participants were selected using the proportional stratified sampling method in 2019. The data collection tools were a demographic information questionnaire, the short form of the International Physical Activity Questionnaire (IPAQ), and a questionnaire developed based on the SCT, whose psychometric features were confirmed in terms of validity and reliability. Data were analyzed using SPSS22 and AMOS20 software. Results The first version of PAWPQ-SCT had 74 items. After evaluating content and face validity, nine items were removed. The results of the content validity index (0.98), content validity ratio (0.86), and impact score (3.62) were acceptable for the whole instrument. In exploratory factor analysis, after removing seven items-58-item final version of the scale-six factors could explain 73.54% of the total variance. The results of structural equation modeling showed the acceptable fit of the model into the data (RMSEA = 0.052, CFI = 0.917, NFI = 0.878, TLI = 0.905, IFI = 0.917, CMIN/DF = 2.818). Cronbach's alpha coefficient and Intraclass Correlation were 0.90 and 0.86, respectively. Conclusion This study confirmed that the psychometric features of the 58-item final version of PAWPQ-SCT constructs were acceptable in a sample of Iranian employees. This questionnaire can be used as a valid and reliable tool to evaluate Iranian employees' PA behaviors and develop effective educational interventions for workers and managers.
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Affiliation(s)
- Kamel Ghobadi
- Department of Health Education and Health Promotion, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran
| | - AhmadAli Eslami
- Department of Health Education and Health Promotion, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Asiyeh Pirzadeh
- Department of Health Education and Health Promotion, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Seyed Mohammad Mazloomi
- Nutrition Research Center, School of Nutrition, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Fatemeh Hosseini
- Department of Public Health, School of Health, Qazvin University of Medical Sciences, Qazvin, Iran
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4
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Molina Hidalgo C, Collins AM, Crisafio ME, Grove G, Kamarck TW, Kang C, Leckie RL, MacDonald M, Manuck SB, Marsland AL, Muldoon MF, Rasero J, Scudder MR, Velazquez-Diaz D, Verstynen T, Wan L, Gianaros PJ, Erickson KI. Effects of a laboratory-based aerobic exercise intervention on brain volume and cardiovascular health markers: protocol for a randomised clinical trial. BMJ Open 2023; 13:e077905. [PMID: 37968003 PMCID: PMC10660203 DOI: 10.1136/bmjopen-2023-077905] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 10/03/2023] [Indexed: 11/17/2023] Open
Abstract
INTRODUCTION Physical activity (PA) has beneficial effects on brain health and cardiovascular disease (CVD) risk. Yet, we know little about whether PA-induced changes to physiological mediators of CVD risk influence brain health and whether benefits to brain health may also explain PA-induced improvements to CVD risk. This study combines neurobiological and peripheral physiological methods in the context of a randomised clinical trial to better understand the links between exercise, brain health and CVD risk. METHODS AND ANALYSIS In this 12-month trial, 130 healthy individuals between the ages of 26 and 58 will be randomly assigned to either: (1) moderate-intensity aerobic PA for 150 min/week or (2) a health information control group. Cardiovascular, neuroimaging and PA measurements will occur for both groups before and after the intervention. Primary outcomes include changes in (1) brain structural areas (ie, hippocampal volume); (2) systolic blood pressure (SBP) responses to functional MRI cognitive stressor tasks and (3) heart rate variability. The main secondary outcomes include changes in (1) brain activity, resting state connectivity, cortical thickness and cortical volume; (2) daily life SBP stress reactivity; (3) negative and positive affect; (4) baroreflex sensitivity; (5) pulse wave velocity; (6) endothelial function and (7) daily life positive and negative affect. Our results are expected to have both mechanistic and public health implications regarding brain-body interactions in the context of cardiovascular health. ETHICS AND DISSEMINATION Ethical approval has been obtained from the University of Pittsburgh Institutional Review Board (IRB ID: 19020218). This study will comply with the NIH Data Sharing Policy and Policy on the Dissemination of NIH-Funded Clinical Trial Information and the Clinical Trials Registration and Results Information Submission rule. TRIAL REGISTRATION NUMBER NCT03841669.
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Affiliation(s)
- Cristina Molina Hidalgo
- AdventHealth Research Institute, Neuroscience Institute, Orlando, Florida, USA
- Department of Psychology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Audrey M Collins
- AdventHealth Research Institute, Neuroscience Institute, Orlando, Florida, USA
- Department of Psychology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Mary E Crisafio
- College of Health and Human Sciences, Colorado State University, Fort Collins, Colorado, USA
| | - George Grove
- Department of Psychology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Thomas W Kamarck
- Department of Psychology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Chaeryon Kang
- Department of Biostatistics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Regina L Leckie
- Department of Psychology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Madison MacDonald
- Department of Psychology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Stephen B Manuck
- Department of Psychology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Anna L Marsland
- Department of Psychology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Matthew F Muldoon
- Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Javier Rasero
- ExPhy Research group and Department of Physical Education, Faculty of Education Sciences, University of Cadiz, Cadiz, Spain
| | - Mark R Scudder
- Department of Psychology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Daniel Velazquez-Diaz
- AdventHealth Research Institute, Neuroscience Institute, Orlando, Florida, USA
- Department of Psychology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- ExPhy Research group and Department of Physical Education, Faculty of Education Sciences, University of Cadiz, Cadiz, Spain
| | - Timothy Verstynen
- Department of Psychology, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA
| | - Lu Wan
- Department of Psychology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Peter J Gianaros
- Department of Psychology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Kirk I Erickson
- AdventHealth Research Institute, Neuroscience Institute, Orlando, Florida, USA
- Department of Psychology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- PROFITH "PROmoting FITness and Health Through Physical Activity" Research Group, Sport and Health University Research Institute (iMUDS), Department of Physical and Sports Education, Faculty of Sport Sciences, University of Granada, Granada, Spain
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Izawa KP, Kanejima Y, Kitamura M, Ishihara K, Ogura A, Kubo I, Oka K, Nagashima H, Tawa H, Matsumoto D, Shimizu I. Relation of sedentary behaviour to physical function in phase I cardiac rehabilitation. Sci Rep 2023; 13:9387. [PMID: 37296206 PMCID: PMC10256782 DOI: 10.1038/s41598-023-36593-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Accepted: 06/06/2023] [Indexed: 06/12/2023] Open
Abstract
Increased sedentary behaviour (SB) is reportedly associated with mortality and morbidity in cardiovascular disease. However, its relation with physical function is not well understood in phase I cardiac rehabilitation (CR). This study aimed to investigate the rate of SB and the relation between SB and physical function among patients participating in phase I CR. This prospective multicentre cohort study enrolled patients participating in CR from October 2020 to July 2022. Patients with probable dementia and difficulty walking alone were excluded. We used sitting SB time as the index of SB and the Short Performance Physical Battery (SPPB) as the index of physical function at discharge. Patients were divided into the low SB group (< 480 min/day) or high SB group (≥ 480 min/day). We analysed and compared the two groups. The final analysis included 353 patients (mean age: 69.6 years, male: 75.6%), of whom 47.6% (168 of 353) were high SB patients. Total sitting SB time was higher in the high SB group versus the low SB group (733.6 ± 155.3 vs 246.4 ± 127.4 min/day, p < 0.001), and mean SPPB score was lower in the high SB group versus the low SB group (10.5 ± 2.4 vs 11.2 ± 1.6 points, p = 0.001). Multiple regression analysis identified SB as an explanatory variable for total SPPB score (p = 0.017). Patients with high SB had significantly lower SPPB scores than those with low SB. These findings underscore the importance of considering SB when improving physical function. Effective strategies to improve physical function can be developed that consider SB in phase I CR.
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Affiliation(s)
- Kazuhiro P Izawa
- Department of Public Health, Graduate School of Health Sciences, Kobe University, 10-2 Tomogaoka 7-Chome, Suma-Ku, Kobe, 654-0142, Japan.
- Cardiovascular Stroke Renal Project (CRP), Kobe, Japan.
| | - Yuji Kanejima
- Department of Public Health, Graduate School of Health Sciences, Kobe University, 10-2 Tomogaoka 7-Chome, Suma-Ku, Kobe, 654-0142, Japan
- Cardiovascular Stroke Renal Project (CRP), Kobe, Japan
- Department of Rehabilitation, Kobe City Medical Center General Hospital, Kobe, Japan
| | - Masahiro Kitamura
- Department of Public Health, Graduate School of Health Sciences, Kobe University, 10-2 Tomogaoka 7-Chome, Suma-Ku, Kobe, 654-0142, Japan
- Cardiovascular Stroke Renal Project (CRP), Kobe, Japan
- School of Physical Therapy, Faculty of Rehabilitation, Reiwa Health Sciences University, Fukuoka, Japan
| | - Kodai Ishihara
- Department of Public Health, Graduate School of Health Sciences, Kobe University, 10-2 Tomogaoka 7-Chome, Suma-Ku, Kobe, 654-0142, Japan
- Cardiovascular Stroke Renal Project (CRP), Kobe, Japan
- Department of Physical Therapy, Faculty of Nursing and Rehabilitation, Konan Women's University, Kobe, Japan
| | - Asami Ogura
- Department of Public Health, Graduate School of Health Sciences, Kobe University, 10-2 Tomogaoka 7-Chome, Suma-Ku, Kobe, 654-0142, Japan
- Cardiovascular Stroke Renal Project (CRP), Kobe, Japan
- Department of Rehabilitation, Sanda City Hospital, Sanda, Japan
| | - Ikko Kubo
- Department of Public Health, Graduate School of Health Sciences, Kobe University, 10-2 Tomogaoka 7-Chome, Suma-Ku, Kobe, 654-0142, Japan
- Cardiovascular Stroke Renal Project (CRP), Kobe, Japan
- Department of Rehabilitation, Yodogawa Christian Hospital, Osaka, Japan
| | - Koichiro Oka
- Cardiovascular Stroke Renal Project (CRP), Kobe, Japan
- Faculty of Sport Sciences, Waseda University, Saitama, Japan
| | - Hitomi Nagashima
- Department of Rehabilitation, Shinyukuhashi Hospital, Yukuhashi, Japan
| | - Hideto Tawa
- Department of Cardiology, Sanda City Hospital, Sanda, Japan
| | - Daisuke Matsumoto
- Department of Cardiovascular Medicine, Yodogawa Christian Hospital, Osaka, Japan
| | - Ikki Shimizu
- Department of Diabetes, Sakakibara Heart Institute of Okayama, Okayama, Japan
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Daley AJ, Griffin RA, Moakes CA, Sanders JP, Skrybant M, Ives N, Maylor B, Greenfield SM, Gokal K, Parretti HM, Biddle SJH, Greaves C, Maddison R, Mutrie N, Esliger DW, Sherar L, Edwardson CL, Yates T, Frew E, Tearne S, Jolly K. Snacktivity™ to promote physical activity and reduce future risk of disease in the population: protocol for a feasibility randomised controlled trial and nested qualitative study. Pilot Feasibility Stud 2023; 9:45. [PMID: 36932423 PMCID: PMC10021043 DOI: 10.1186/s40814-023-01272-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Accepted: 03/04/2023] [Indexed: 03/19/2023] Open
Abstract
BACKGROUND Many people do not regularly participate in physical activity, which may negatively impact their health. Current physical activity guidelines are focused on promoting weekly accumulation of at least 150 min of moderate to vigorous intensity physical activity (MVPA). Whilst revised guidance now recognises the importance of making small changes to physical activity behaviour, guidance still focuses on adults needing to achieve at least 150 min of MVPA per week. An alternative 'whole day' approach that could motivate the public to be more physically active, is a concept called Snacktivity™. Instead of focusing on achieving 150 min per week of physical activity, for example 30 min of MVPA over 5 days, Snacktivity™ encourages the public to achieve this through small, but frequent, 2-5 min 'snacks' of MVPA throughout the whole day. METHODS The primary aim is to undertake a feasibility trial with nested qualitative interviews to assess the feasibility and acceptability of the Snacktivity™ intervention to inform the design of a subsequent phase III randomised trial. A two-arm randomised controlled feasibility trial aiming to recruit 80 inactive adults will be conducted. Recruitment will be from health and community settings and social media. Participants will be individually randomised (1:1 ratio) to receive either the Snacktivity™ intervention or usual care. The intervention will last 12 weeks with assessment of outcomes completed before and after the intervention in all participants. We are interested in whether the Snacktivity™ trial is appealing to participants (assessed by the recruitment rate) and if the Snacktivity™ intervention and trial methods are acceptable to participants (assessed by Snacktivity™/physical activity adherence and retention rates). The intervention will be delivered by health care providers within health care consultations or by researchers. Participants' experiences of the trial and intervention, and health care providers' views of delivering the intervention within health consultations will be explored. DISCUSSION The development of physical activity interventions that can be delivered at scale are needed. The findings from this study will inform the viability and design of a phase III trial to assess the effectiveness and cost-effectiveness of Snacktivity™ to increase physical activity. TRIAL REGISTRATION ISRCTN: 64851242.
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Affiliation(s)
- Amanda J Daley
- Centre for Lifestyle Medicine and Behaviour, School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK.
| | - Ryan A Griffin
- Birmingham Clinical Trials Unit, Institute for Applied Health Research, University of Birmingham, Birmingham, UK
| | - Catherine A Moakes
- Birmingham Clinical Trials Unit, Institute for Applied Health Research, University of Birmingham, Birmingham, UK
| | - James P Sanders
- Centre for Lifestyle Medicine and Behaviour, School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK
| | - Magdalena Skrybant
- Institute for Applied Health Research, University of Birmingham, Birmingham, UK
| | - Natalie Ives
- Birmingham Clinical Trials Unit, Institute for Applied Health Research, University of Birmingham, Birmingham, UK
| | - Ben Maylor
- Diabetes Research Centre, College of Life Sciences, University of Leicester and NIHR Leicester Biomedical Research Centre, Leicester, UK
| | - Sheila M Greenfield
- Institute for Applied Health Research, University of Birmingham, Birmingham, UK
| | - Kajal Gokal
- Centre for Lifestyle Medicine and Behaviour, School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK
| | - Helen M Parretti
- Norwich Medical School, Faculty of Medicine and Health, University of East Anglia, Norwich, UK
| | - Stuart J H Biddle
- University of Southern Queensland, Springfield, Australia.,Faculty of Sport & Health Sciences, University of Jyväskylä, Jyväskylä, Finland
| | - Colin Greaves
- School of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, Birmingham, UK
| | - Ralph Maddison
- Institute for Physical Activity and Nutrition, Deakin University, Melbourne, Australia
| | - Nanette Mutrie
- Physical Activity for Health Research Centre, University of Edinburgh, Edinburgh, UK
| | - Dale W Esliger
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK
| | - Lauren Sherar
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK
| | - Charlotte L Edwardson
- Diabetes Research Centre, College of Life Sciences, University of Leicester and NIHR Leicester Biomedical Research Centre, Leicester, UK
| | - Tom Yates
- Diabetes Research Centre, College of Life Sciences, University of Leicester and NIHR Leicester Biomedical Research Centre, Leicester, UK
| | - Emma Frew
- Health Economics Unit, Institute for Applied Health Research, University of Birmingham, Birmingham, UK
| | - Sarah Tearne
- Birmingham Clinical Trials Unit, Institute for Applied Health Research, University of Birmingham, Birmingham, UK
| | - Kate Jolly
- Institute for Applied Health Research, University of Birmingham, Birmingham, UK
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7
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Kim HJ, Choo J. Socioecological Factors Associated With Physical Activity and Sedentary Behavior Among Workers: Using the PRECEDE-PROCEED Model. Workplace Health Saf 2023; 71:22-33. [PMID: 35369827 DOI: 10.1177/21650799221079388] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
BACKGROUND Physical inactivity is a major global health problem. Industrial automation has led to an increased number of workers who are sedentary at work. We examined whether three socioecological factors (i.e., predisposing, reinforcing, and enabling factors) derived from the PRECEDE-PROCEED model would be significantly associated with the physical activity and sedentary behavior among workers. METHODS A cross-sectional study was conducted among 539 employees at an electronic manufacturing plant in Gumi, South Korea. Physical activity variables of energy expenditure (MET-min/week) and sitting time at work (minutes/day) were measured by the International Physical Activity Questionnaire and the Workforce Sitting Questionnaire, respectively. Of the socioecological factors, a predisposing factor defined as self-determined motivation was measured by the Exercise Self-Regulation Questionnaire; a reinforcing factor defined as autonomy support was measured by the Work Climate Questionnaire; and an enabling factor defined as supportive workplace environment was measured by the Perceived Workplace Environment Scale. FINDINGS Self-determined motivation (i.e., autonomous and controlled forms of motivation), autonomy support, and a supportive workplace environment were all significantly associated with increased physical activity energy expenditure during leisure-time. However, they were not significantly associated with sitting time on working and non-working days. CONCLUSION/APPLICATIONS TO PRACTICE Three socioecological factors of the PRECEDE-PROCEED model were significantly associated with leisure-time physical activity among workers. Our findings may help occupational health nurses use a socioecological approach for designing effective workplace strategies to increase leisure-time physical activity among workers.
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Affiliation(s)
- Hye-Jin Kim
- Catholic Kwandong University.,Korea University
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8
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Nöscher P, Weber A, Leitzmann M, Grifka J, Jochem C. [Work-related sedentary behavior]. ZENTRALBLATT FUR ARBEITSMEDIZIN, ARBEITSSCHUTZ UND ERGONOMIE 2023; 73:39-47. [PMID: 36643722 PMCID: PMC9829228 DOI: 10.1007/s40664-022-00489-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 12/09/2022] [Indexed: 01/11/2023]
Abstract
Background Sedentary behavior is associated with an increased risk of chronic diseases, such as metabolic syndrome and type 2 diabetes and all-cause mortality. Occupational sitting time contributes to large amounts of daily sedentary behavior, especially in office workers. Objective This study investigated the amount of time spent in sedentary behavior during different tasks at work and while commuting of administrative personnel of a university hospital in Germany. Material and methods A cross-sectional questionnaire-based study of administrative employees at the University Hospital Regensburg, Germany was carried out to assess work-related sedentary behavior. Descriptive and exploratory statistical analyses were performed. Results The study population consisted of 159 participants (54.1% women, 51.6% older than 40 years), which corresponds to a response rate of 26%. The median daily sitting time in the office was 7.0 h (interquartile range, IQR 6.0-7.5 h) and mostly occurred during computer work (57.3%), telephone calls (13.2%) and meetings (11.7%). Median standing time at work was 0.8 h (IQR 0.3-1.4 h). Administrative staff spent a median of 0.7 h (IQR 0.3-1.0 h) per day sedentary while commuting, with 67.3% of respondents commuting by car, motorbike or scooter. The participants were of the opinion that sitting for long uninterrupted periods had negative (69.6%) or relatively negative (29.7%) effects on health. Conclusion Administrative staff in hospitals spend large amounts of the daily working time with sedentary behavior. Interventions that enable working both in sitting and standing positions can lead to reduced work-related sitting time and thereby could improve occupational and, in a broader sense, public health.
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Affiliation(s)
- Paulus Nöscher
- Institut für Epidemiologie und Präventivmedizin, Universität Regensburg, Franz-Josef-Strauß-Allee 11, 93053 Regensburg, Deutschland
| | - Andrea Weber
- Institut für Epidemiologie und Präventivmedizin, Universität Regensburg, Franz-Josef-Strauß-Allee 11, 93053 Regensburg, Deutschland
| | - Michael Leitzmann
- Institut für Epidemiologie und Präventivmedizin, Universität Regensburg, Franz-Josef-Strauß-Allee 11, 93053 Regensburg, Deutschland
| | - Joachim Grifka
- Abteilung für Orthopädie, Universitätsklinikum Regensburg, Asklepios Klinikum Bad Abbach, Kaiser-Karl-V.-Allee 3, 93077 Bad Abbach, Deutschland
| | - Carmen Jochem
- Institut für Epidemiologie und Präventivmedizin, Universität Regensburg, Franz-Josef-Strauß-Allee 11, 93053 Regensburg, Deutschland
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Alley SJ, van Uffelen J, Schoeppe S, Parkinson L, Hunt S, Power D, Waterman N, Waterman C, To QG, Duncan MJ, Schneiders A, Vandelanotte C. The Effectiveness of a Computer-Tailored Web-Based Physical Activity Intervention Using Fitbit Activity Trackers in Older Adults (Active for Life): Randomized Controlled Trial. J Med Internet Res 2022; 24:e31352. [PMID: 35552166 PMCID: PMC9136649 DOI: 10.2196/31352] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Revised: 01/14/2022] [Accepted: 02/08/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Physical activity is an integral part of healthy aging; yet, most adults aged ≥65 years are not sufficiently active. Preliminary evidence suggests that web-based interventions with computer-tailored advice and Fitbit activity trackers may be well suited for older adults. OBJECTIVE The aim of this study was to examine the effectiveness of Active for Life, a 12-week web-based physical activity intervention with 6 web-based modules of computer-tailored advice to increase physical activity in older Australians. METHODS Participants were recruited both through the web and offline and were randomly assigned to 1 of 3 trial arms: tailoring+Fitbit, tailoring only, or a wait-list control. The computer-tailored advice was based on either participants' Fitbit data (tailoring+Fitbit participants) or self-reported physical activity (tailoring-only participants). The main outcome was change in wrist-worn accelerometer (ActiGraph GT9X)-measured moderate to vigorous physical activity (MVPA) from baseline to after the intervention (week 12). The secondary outcomes were change in self-reported physical activity measured by means of the Active Australia Survey at the midintervention point (6 weeks), after the intervention (week 12), and at follow-up (week 24). Participants had a face-to-face meeting at baseline for a demonstration of the intervention and at baseline and week 12 to return the accelerometers. Generalized linear mixed model analyses were conducted with a γ distribution and log link to compare MVPA and self-reported physical activity changes over time within each trial arm and between each of the trial arms. RESULTS A total of 243 participants were randomly assigned to tailoring+Fitbit (n=78, 32.1%), tailoring only (n=96, 39.5%), and wait-list control (n=69, 28.4%). Attrition was 28.8% (70/243) at 6 weeks, 31.7% (77/243) at 12 weeks, and 35.4% (86/243) at 24 weeks. No significant overall time by group interaction was observed for MVPA (P=.05). There were no significant within-group changes for MVPA over time in the tailoring+Fitbit group (+3%, 95% CI -24% to 40%) or the tailoring-only group (-4%, 95% CI -24% to 30%); however, a significant decline was seen in the control group (-35%, 95% CI -52% to -11%). The tailoring+Fitbit group participants increased their MVPA 59% (95% CI 6%-138%) more than those in the control group. A significant time by group interaction was observed for self-reported physical activity (P=.02). All groups increased their self-reported physical activity from baseline to week 6, week 12, and week 24, and this increase was greater in the tailoring+Fitbit group than in the control group at 6 weeks (+61%, 95% CI 11%-133%). CONCLUSIONS A computer-tailored physical activity intervention with Fitbit integration resulted in improved MVPA outcomes in comparison with a control group in older adults. TRIAL REGISTRATION Australian New Zealand Clinical Trials Registry ACTRN12618000646246; https://anzctr.org.au/Trial/Registration/TrialReview.aspx?ACTRN=12618000646246.
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Affiliation(s)
- Stephanie J Alley
- Physical Activity Research Group, Appleton Institute, Central Queensland University, Rockhampton, Australia
| | | | - Stephanie Schoeppe
- Physical Activity Research Group, Appleton Institute, Central Queensland University, Rockhampton, Australia
| | - Lynne Parkinson
- School of Medicine & Public Health, College of Health, Medicine, and Wellbeing, The University of Newcastle, Callaghan, Australia
| | - Susan Hunt
- School of Nursing, Midwifery and Social Sciences, Central Queensland University, Melbourne, Australia
| | - Deborah Power
- Physical Activity Research Group, Appleton Institute, Central Queensland University, Rockhampton, Australia
| | - Natasha Waterman
- Physical Activity Research Group, Appleton Institute, Central Queensland University, Rockhampton, Australia
| | - Courtney Waterman
- Physical Activity Research Group, Appleton Institute, Central Queensland University, Rockhampton, Australia
| | - Quyen G To
- Physical Activity Research Group, Appleton Institute, Central Queensland University, Rockhampton, Australia
| | - Mitch J Duncan
- School of Medicine & Public Health, College of Health, Medicine, and Wellbeing, The University of Newcastle, Callaghan, Australia
| | - Anthony Schneiders
- Physical Activity Research Group, Appleton Institute, Central Queensland University, Rockhampton, Australia
| | - Corneel Vandelanotte
- Physical Activity Research Group, Appleton Institute, Central Queensland University, Rockhampton, Australia
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10
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Questionnaires measuring movement behaviours in adults and older adults: Content description and measurement properties. A systematic review. PLoS One 2022; 17:e0265100. [PMID: 35275936 PMCID: PMC8916622 DOI: 10.1371/journal.pone.0265100] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Accepted: 02/22/2022] [Indexed: 01/14/2023] Open
Abstract
Background Sleep, sedentary behaviour and physical activity are constituent parts of a 24h period and there are several questionnaires to measure these movement behaviours, the objective was to systematically review the literature on content and measurement properties of self- and proxy-reported questionnaires measuring movement behaviours in adults and older adults. Methods The databases PubMed, CINAHL, PsycINFO and SPORTDiscus were systematically searched until April 2021. Articles were included if: the questionnaires were design for adults and older adults; the sample size for validity studies had at least 50 participants; at least, both validity and test-retest reliability results of questionnaire that were developed specifically to measure the amount of sleep, sedentary behaviour or physical activity, or their combination were reported; and articles had to be written in English, Spanish, French, Portuguese, German, Italian or Chinese. Findings and conclusions Data extraction, results, studies’ quality, and risk of bias were evaluated using the Consensus-based Standards for the selection of health Measurement INstruments (COSMIN) guidelines. Fifty-five articles were included in this review, describing 60 questionnaires. None of the questionnaires showed adequate criterion validity and adequate reliability, simultaneously; 68.3% showed adequate content validity. The risk of bias for criterion validity and reliability were very low in 72.2% and 23.6% of the studies, respectively. Existing questionnaires have insufficient measurement properties and frequent methodologic limitations, and none was developed considering the 24h movement behaviour paradigm. The lack of valid and reliable questionnaires assessing 24h movement behaviours in an integrated way, precludes accurate monitoring and surveillance systems of 24h movement behaviours.
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11
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Izawa KP, Oka K. Domain-Specific Sedentary Behaviour and Health-Related Quality of Life by Age among Japanese Living in Malaysia. Rev Recent Clin Trials 2022; 17:120-125. [PMID: 35289254 DOI: 10.2174/1574887117666220314112244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Revised: 01/26/2022] [Accepted: 02/03/2022] [Indexed: 12/14/2022]
Abstract
BACKGROUND Recently, the number of Japanese people living in Asia has increased. A previous study suggested that obesity and overweight are growing health problems both in Malaysia and worldwide that result from lifestyle changes such as a decrease in physical activity, an increase in sedentary behaviour, and poor eating habits. OBJECTIVE The purpose of the present study was to investigate the effects of differences in social demographic factors and domain-specific sedentary behaviour and health-related quality of life by age in Japanese living overseas. METHODS We surveyed 109 participants by self-entry questionnaire for social demographic factors and domain-specific sedentary behaviour by life scenario and by Short Form-36 (SF-36) for healthrelated quality of life. The subjects were divided into the ≥65 years group and <65 years group. RESULTS Significant differences were noted in age, employment, alcohol intake, and marital status between the groups, whereas none were noted for transportation, driving, television viewing, and smartphone/personal computer use. Work time and total sitting time of sedentary behaviour were higher, and leisure-time activity and SF-36 Mental Component Score for health-related quality of life were lower in the <65 years group. CONCLUSION By assessing differences in social demographic factors and discouraging sedentary behaviour, sitting time in overseas-dwelling Japanese residents may be reduced, and effective strategies to improve health-related quality of life can be developed to combat such behaviour.
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Affiliation(s)
- Kazuhiro P Izawa
- Department of Public Health, Graduate School of Health Sciences, Kobe University, Kobe 654-0142, Japan.,Faculty of Sport Sciences, Waseda University, Tokorozawa 359-1192, Japan.,Cardiovascular Stroke Renal Project (CRP), Kobe 654-0142, Japan
| | - Koichiro Oka
- Faculty of Sport Sciences, Waseda University, Tokorozawa 359-1192, Japan.,Cardiovascular Stroke Renal Project (CRP), Kobe 654-0142, Japan
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12
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Kalisch T, Theil C, Gosheger G, Schwarze J, Voss K, Schoenhals I, Moellenbeck B. Validation of a Modified Version of the German Sedentary Behavior Questionnaire. Healthcare (Basel) 2022; 10:healthcare10050807. [PMID: 35627946 PMCID: PMC9141471 DOI: 10.3390/healthcare10050807] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Revised: 04/22/2022] [Accepted: 04/25/2022] [Indexed: 02/04/2023] Open
Abstract
Background: Physical inactivity and excessive sedentary behavior (SB) are growing public health issues that require surveillance, guidelines, and targeted interventions. In addition to a variety of sophisticated technical methods, questionnaires are still an attractive method for quick, easy, comprehensive, and cost-effective estimation of SB. The aim of this study was to validate a modified version of the widely used Sedentary Behavior Questionnaire (SBQ) compared to waist-worn accelerometers as an objective measurement. Contemporary explanations covering the use of smart devices have been added to the original instrument, and sitting while handwriting was explicated in more detail. Methods: Cross-sectional data from an adult sample (n = 64, 20−85 y, 25 m, 39 f) were used in this first validation study. Based on prior investigations of the SBQ, analyses were conducted in a gender-specific manner. Criterion validity was assessed using Spearman’s Rho coefficients. The Bland−Altman method was used to test the agreement between self-reported and accelerometer-measured SB time. Results: Using the modified SBQ (mSBQ), a significant gender difference in weekly sedentary time was found. Women estimated their sedentary time to be almost 50% higher than men (median 74.5 h vs. 51.0 h). No correlation was found between the questionnaire and accelerometer data for both subgroups (rho ≤ 0.281, p ≥ 0.174). Individual differences in daily SB estimation between both methods (in relation to accelerometry) were +3.82 h ± 4.36 h for women and +0.48 h ± 2.58 h for men (p < 0.001). Conclusion: The modifications to the SBQ did not improve the correlation between self-assessment of SB and objective determination. The reasons for the presented gender-specific overestimation of the participants’ own sedentary time, which contradicts the findings of other studies, remain unclear and need to be investigated further.
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Affiliation(s)
- Tobias Kalisch
- Department of Orthopedics and Tumor Orthopedics, Muenster University Hospital, Albert-Schweitzer-Campus 1, 48149 Muenster, Germany; (C.T.); (G.G.); (J.S.); (I.S.); (B.M.)
- Correspondence:
| | - Christoph Theil
- Department of Orthopedics and Tumor Orthopedics, Muenster University Hospital, Albert-Schweitzer-Campus 1, 48149 Muenster, Germany; (C.T.); (G.G.); (J.S.); (I.S.); (B.M.)
| | - Georg Gosheger
- Department of Orthopedics and Tumor Orthopedics, Muenster University Hospital, Albert-Schweitzer-Campus 1, 48149 Muenster, Germany; (C.T.); (G.G.); (J.S.); (I.S.); (B.M.)
| | - Jan Schwarze
- Department of Orthopedics and Tumor Orthopedics, Muenster University Hospital, Albert-Schweitzer-Campus 1, 48149 Muenster, Germany; (C.T.); (G.G.); (J.S.); (I.S.); (B.M.)
| | - Katharina Voss
- Biomechatronics Research Laboratory, Muenster University of Applied Sciences, Buergerkamp 3, 48565 Steinfurt, Germany;
| | - Isabell Schoenhals
- Department of Orthopedics and Tumor Orthopedics, Muenster University Hospital, Albert-Schweitzer-Campus 1, 48149 Muenster, Germany; (C.T.); (G.G.); (J.S.); (I.S.); (B.M.)
| | - Burkhard Moellenbeck
- Department of Orthopedics and Tumor Orthopedics, Muenster University Hospital, Albert-Schweitzer-Campus 1, 48149 Muenster, Germany; (C.T.); (G.G.); (J.S.); (I.S.); (B.M.)
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13
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Lee CT, Ting GK, Bellissimo N, Khalesi S. The associations between lifestyle factors and mental well-being in baccalaureate nursing students: An observational study. Nurs Health Sci 2022; 24:255-264. [PMID: 35080779 DOI: 10.1111/nhs.12923] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Revised: 01/01/2022] [Accepted: 01/10/2022] [Indexed: 01/08/2023]
Abstract
Lifestyle factors are modifiable habits that shape the way in which individuals live their lives and can influence mental health. This study examined the associations between lifestyle factors and mental well-being among baccalaureate nursing students at one Canadian university. A cross-sectional, observational online survey was distributed at one urban university campus in Ontario, Canada. Baccalaureate nursing students (n = 147) completed the survey containing questions for demographic variables, sleep quality, dietary pattern, alcohol use, physical activity, sitting time, cigarette smoking, depression, anxiety and stress. Linear regression analysis revealed that more sitting time, poor sleep quality, and low dairy consumption were associated with higher scores in depression, anxiety, and psychological stress. In conclusion, poor lifestyle behaviors such as sedentary lifestyle, poor sleep, and low dairy consumption may reduce the mental well-being of baccalaureate nursing students. Future efforts should aim to establish a causal relationship between lifestyle and mental well-being, which would contribute to the development of lifestyle interventions to promote mental health.
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Affiliation(s)
| | | | | | - Saman Khalesi
- Central Queensland University, Brisbane, Queensland, Australia
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14
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Carter SE, Draijer R, Stewart CE, Moss AD, Thijssen DHJ, Hopkins ND. Are acute sitting-induced changes in inflammation and cerebrovascular function related to impaired mood and cognition? SPORT SCIENCES FOR HEALTH 2021; 17:753-762. [PMID: 34721696 PMCID: PMC8550027 DOI: 10.1007/s11332-021-00753-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Accepted: 03/27/2021] [Indexed: 11/29/2022]
Abstract
Purpose Sedentary behaviour is negatively associated with mood and cognition, yet how acute sitting contributes to these overall associations is unknown. Since sitting heightens inflammation and impairs cerebrovascular function, this study investigated the hypothesis that these sitting-induced changes are related to impaired mood and cognition. Methods Twenty-five healthy desk workers (18 male, 28.3 ± 7.5 years, BMI: 24.2 ± 3.3 kg∙m-2) were recruited. During laboratory visit one, participants were familiarised with cognitive performance tests measuring executive function, attention and working memory. During laboratory visit two, participants completed 6 h of continuous, uninterrupted sitting. At baseline and after 6 h, serum markers of inflammation, middle cerebral artery blood flow velocity (MCAv), cerebrovascular carbon dioxide reactivity (CVR), dynamic cerebral autoregulation (CA), cognitive performance and mood (positive and negative affect, alert, contented and calm) were assessed. Data were analysed using paired-samples t tests and correlation analyses. Results Following sitting, C-reactive protein (∆-1.0 µg/ml) and tissue plasminogen activator (∆-360.4 pg/ml) decreased (p < 0.05), MCAv reduced (∆-2.9 cm∙s-1, p = 0.012) and normalised gain increased in the very low frequency range, indicating impaired CA (∆ + 0.22%·mmHg-1, p = 0.016). Positive affect (∆-4.6, p < 0.001), and alert (∆-10.6 p = 0.002) and contented (∆-7.4, p = 0.006) mood states also decreased following sitting. No significant changes in interleukin-6, tumour necrosis factor-alpha, von Willebrand factor, CVR or cognitive performance were observed (p > 0.05). The observed changes in inflammation and cerebrovascular function were not related to changes in mood (p > 0.05). Conclusion Alterations in inflammation or cerebrovascular function following six hours of prolonged, uninterrupted sitting are not related to the observed reductions in mood, indicating other mechanisms underlie the relationship between acute sitting and mood disturbances.
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Affiliation(s)
- Sophie E Carter
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, UK.,School of Science, Technology and Health, York St John University, Nestlé Rowntree Park Sports Campus, Haxby Road, York, YO31 8TA UK
| | - Richard Draijer
- Unilever Foods Innovation Centre, Wageningen, The Netherlands
| | - Claire E Stewart
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, UK
| | - Andy D Moss
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, UK
| | - Dick H J Thijssen
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, UK.,Radboud Institute for Health Sciences, Department of Physiology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Nicola D Hopkins
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, UK
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15
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Banerjee P, Reddy BG, Gavaravarapu SM. Identifying opportunities and barriers for introducing a workplace nutrition and health program for employees: Findings from formative research. Work 2021; 73:1175-1187. [DOI: 10.3233/wor-211017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND: The work style of employees engaged in the Information Technology (IT) and Business Process Outsourcing (BPO) sector in India is dominantly sedentary exposing them to detrimental obesogenic environments with unhealthy diets, increasing the risk of non-communicable diseases (NCDs). Workplace health interventions have been reported to have the potential of reducing NCDs and related risk factors among the employees and thus reduce cost of absenteeism and improve productivity. OBJECTIVE: This formative research study aims to explore the opportunities and barriers of the development and implementation of a Workplace Health Programme (WHP). METHODS: In this study, a mixed method including qualitative and quantitative approaches were used. Focus group discussions (FGDs) were conducted with employees and senior managers in employers of IT/BPO companies of different sizes in Hyderabad, India. The food and physical activity environment in the workplaces were explored using a checklist and ground truthing approach. A Knowledge, Attitudes and Practices (KAP) questionnaire was developed to assess health, nutrition and physical activity of the employees. RESULTS: Through this formative research, the required areas for nutrition, physical activity and health education were identified. The scopes of utilising existing facilities for physical activity and modifying the food environment was explored. We noted optimistic bias among the junior employees who did not consider themselves at risk of developing NCDs. CONCLUSIONS: The identified opportunities and barriers will help in developing strategic WHPs suitable to individual workplaces. The qualitative methods, ground truthing approach, checklist and KAP tools used here can assess the company environment and employee health and nutrition status.
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Affiliation(s)
- Paromita Banerjee
- Nutrition Information, Communication & Health Education (NICHE) Division, ICMR-National Institute of Nutrition, Hyderabad, Telangana, India
| | - Bhanuprakash G. Reddy
- Biochemistry Division, ICMR-National Institute of Nutrition, Hyderabad, Telangana, India
| | - SubbaRao M. Gavaravarapu
- Nutrition Information, Communication & Health Education (NICHE) Division, ICMR-National Institute of Nutrition, Hyderabad, Telangana, India
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16
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Kettle VE, Hamer M, Munir F, Houdmont J, Wilson K, Kerr R, Addley K, Sherar LB, Clemes SA. Cross-sectional associations between domain-specific sitting time and other lifestyle health behaviours: the Stormont study. J Public Health (Oxf) 2021; 44:51-59. [PMID: 34343313 PMCID: PMC8904248 DOI: 10.1093/pubmed/fdab298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2020] [Revised: 03/22/2021] [Accepted: 07/05/2021] [Indexed: 12/03/2022] Open
Abstract
Background There is a dearth of literature on how different domains of sitting time relate to other health behaviours. Therefore, this study aimed to explore these associations in a sample of office workers. Methods 7170 Northern Irish Civil Servants completed an online survey which included information on workday and non-workday sitting time in five domains (travel, work, TV, computer-use, leisure-time), physical activity, fruit and vegetable intake, alcohol consumption and cigarette smoking. An unhealthy behaviour score was calculated by summing the number of health behaviours which did not meet the current guidelines. Multinomial regressions examined associations between unhealthy behaviour score and each domain of sitting time. Results ≥7 hours sitting at work and ≥2 hours TV viewing on a workday both more than doubled the odds of partaking in ≥3 unhealthy behaviours [Odds ratio, OR = 2.03, 95% CI, (1.59–2.61); OR = 2.19 (1.71–2.80)] and ≥3 hours of TV viewing on a non-workday nearly tripled the odds [OR = 2.96 (2.32–3.77)]. Conclusions High sitting time at work and TV viewing on a workday and non-workday are associated with increased odds of partaking in multiple unhealthy behaviours. Interventions need to focus on these domains and public health policy should consider sitting time as an important health behaviour.
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Affiliation(s)
- Victoria E Kettle
- National Centre for Sport and Exercise Medicine, School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough LE11 3TU, UK
| | - Mark Hamer
- Institute of Sport, Exercise and Health, UCL, London WC1E 6BT, UK
| | - Fehmidah Munir
- National Centre for Sport and Exercise Medicine, School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough LE11 3TU, UK
| | - Jonathan Houdmont
- Faculty of Medicine and Health Sciences, University of Nottingham, Nottingham NG7 2RD, UK
| | - Kelly Wilson
- Department of Management and Leadership, Ulster University, County Antrim BT37 0QB, UK
| | - Robert Kerr
- Department of Management and Leadership, Ulster University, County Antrim BT37 0QB, UK
| | - Ken Addley
- Faculty of Occupational Medicine, Royal College of Physicians of Ireland, Dublin D02 X266, Ireland
| | - Lauren B Sherar
- National Centre for Sport and Exercise Medicine, School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough LE11 3TU, UK
| | - Stacy A Clemes
- National Centre for Sport and Exercise Medicine, School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough LE11 3TU, UK.,National Institute for Health Research (NIHR), Leicester Biomedical Research Centre, University Hospitals of Leicester NHS Trust and the University of Leicester, Leicester LE5 4PW, UK
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17
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Rayward AT, Murawski B, Duncan MJ, Holliday EG, Vandelanotte C, Brown WJ, Plotnikoff RC. Efficacy of an m-Health Physical Activity and Sleep Intervention to Improve Sleep Quality in Middle-Aged Adults: The Refresh Study Randomized Controlled Trial. Ann Behav Med 2021; 54:470-483. [PMID: 31942918 DOI: 10.1093/abm/kaz064] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Poor sleep health is highly prevalent. Physical activity is known to improve sleep quality but not specifically targeted in sleep interventions. PURPOSE To compare the efficacy of a combined physical activity and sleep intervention with a sleep-only intervention and a wait-list control, for improving sleep quality in middle-aged adults without a diagnosed sleep disorder. METHODS Three-arm randomized controlled trial (Physical Activity and Sleep Health (PAS), Sleep Health Only (SO), Wait-list Control (CON) groups; 3-month primary time-point, 6-month follow-up) of 275 (PAS = 110, SO = 110, CON = 55) inactive adults (40-65 years) reporting poor sleep quality. The main intervention component was a smartphone/tablet "app" to aid goal setting and self-monitoring physical activity and/or sleep hygiene behaviors (including stress management), and a pedometer for PAS group. Primary outcome was Pittsburgh Sleep Quality Index (PSQI) global score. Secondary outcomes included several self-reported physical activity measures and PSQI subcomponents. Group differences were examined stepwise, first between pooled intervention (PI = PAS + SO) and CON groups, then between PAS and SO groups. RESULTS Compared with CON, PI groups significantly improved PSQI global and subcomponents scores at 3 and 6 months. There were no differences in sleep quality between PAS and SO groups. The PAS group reported significantly less daily sitting time at 3 months and was significantly more likely to report ≥2 days/week resistance training and meeting physical activity guidelines at 6 months than the SO group. CONCLUSIONS PIs had statistically significantly improved sleep quality among middle-aged adults with poor sleep quality without a diagnosed sleep disorder. The adjunctive physical activity intervention did not additionally improve sleep quality. CLINICAL TRIAL INFORMATION Australian New Zealand Clinical Trial Registry: ACTRN12617000680369; Universal Trial number: U1111-1194-2680; Human Research Ethics Committee, Blinded by request of journal: H-2016-0267.
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Affiliation(s)
- Anna T Rayward
- Priority Research Centre for Physical Activity and Nutrition, School of Medicine & Public Health, University of Newcastle, Callaghan, New South Wales, Australia
| | - Beatrice Murawski
- Priority Research Centre for Physical Activity and Nutrition, School of Medicine & Public Health, University of Newcastle, Callaghan, New South Wales, Australia
| | - Mitch J Duncan
- Priority Research Centre for Physical Activity and Nutrition, School of Medicine & Public Health, University of Newcastle, Callaghan, New South Wales, Australia
| | - Elizabeth G Holliday
- School of Medicine & Public Health, University of Newcastle, Callaghan, New South Wales, Australia
| | - Corneel Vandelanotte
- Physical Activity Research Group, School for Health, Medical and Applied Sciences, Central Queensland University, Rockhampton, Queensland, Australia
| | - Wendy J Brown
- School of Human Movement and Nutrition Sciences, The University of Queensland, St Lucia, Queensland, Australia
| | - Ronald C Plotnikoff
- Priority Research Centre for Physical Activity and Nutrition, School of Education, University of Newcastle, Callaghan, New South Wales, Australia
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18
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Stanton R, Best T, Williams S, Vandelanotte C, Irwin C, Heidke P, Saito A, Rebar AL, Dwyer T, Khalesi S. Associations between health behaviors and mental health in Australian nursing students. Nurse Educ Pract 2021; 53:103084. [PMID: 34044342 DOI: 10.1016/j.nepr.2021.103084] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2020] [Revised: 04/15/2021] [Accepted: 05/12/2021] [Indexed: 12/12/2022]
Abstract
AIM Nursing students experience high levels of stress, anxiety and depression. This study examined associations between health behaviors and stress, anxiety and depression in Australian nursing students. DESIGN this was a cross-sectional study. METHODS Participants completed an online survey providing demographic information and responses to the 21-item Depression Anxiety Stress Scale, Fagerström Test for Nicotine Dependence, short Food Frequency Questionnaire, Alcohol Use Disorders Identification Test, International Physical Activity Questionnaire and Workforce Sitting Questionnaire. Associations were evaluated using multivariate linear regression. RESULTS Mild to extremely severe stress (46.6%), anxiety (52.8%) and depression (42.2%) were prevalent. Intake of snack-foods was associated with higher depression (β = 8.66, p < 0.05) and stress (β = 3.92, p = 0.055) scores. More time spent sitting was associated with higher depression (β = 0.48, p < 0.001) and stress (β = 0.28, p < 0.05) scores. Skipping meals correlated with higher stress, anxiety and depression scores. CONCLUSION More support must be provided to nursing students to manage psychological distress and mental health during university study.
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Affiliation(s)
- Robert Stanton
- School of Health Medical and Applied Sciences, CQUniversity, Rockhampton, Australia
| | - Talitha Best
- School of Health Medical and Applied Sciences, CQUniversity, Rockhampton, Australia
| | - Susan Williams
- Physical Activity Research Group, Appleton Institute, School of Health Medical and Applied Sciences, CQUniversity, Rockhampton, Australia
| | - Corneel Vandelanotte
- Physical Activity Research Group, Appleton Institute, School of Health Medical and Applied Sciences, CQUniversity, Rockhampton, Australia
| | - Christopher Irwin
- Menzies Health Institute Queensland and School of Allied Health Sciences, Griffith University, Gold Coast, Australia
| | - Penny Heidke
- School of Nursing, Midwifery and Social Sciences, CQUniversity, Rockhampton, Australia
| | - Amornrat Saito
- Menzies Health Institute Queensland and School of Nursing and Midwifery, Griffith University, Logan campus, Australia
| | - Amanda L Rebar
- School of Health Medical and Applied Sciences, CQUniversity, Rockhampton, Australia
| | - Trudy Dwyer
- School of Nursing, Midwifery and Social Sciences, CQUniversity, Rockhampton, Australia
| | - Saman Khalesi
- Physical Activity Research Group, Appleton Institute, School of Health Medical and Applied Sciences, CQUniversity, Rockhampton, Australia.
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Heidke P, Vandelanotte C, Irwin C, Williams S, Saluja S, Khalesi S. Associations between health-related quality of life and health behaviors in Australian nursing students. Nurs Health Sci 2021; 23:477-489. [PMID: 33792130 DOI: 10.1111/nhs.12832] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Revised: 03/16/2021] [Accepted: 03/17/2021] [Indexed: 11/29/2022]
Abstract
Health-related quality of life (HRQoL) is being increasingly studied as an indicator of wellbeing. This study evaluated the HRQoL of nursing students and relationships between lifestyle behaviors including smoking, diet, alcohol intake and physical activity. A cross-sectional study was conducted in 2018 using the Short-Form 12V2 to measure the HRQoL of 475 students from both regional and metropolitan universities in Queensland, Australia. z-scores were aggregated into a Physical Composite Score (PCS) and a Mental Composite Score (MCS). Multivariate linear regression was used to explore the associations. Nursing students (94.5% female) had lower HRQoL scores relative to the general Australian population. Students enrolled at the regional university, with higher income; higher intakes of vitamin A, calcium, and iodine; and more physical activity had a higher Mental Composite Score, but those with health conditions and high intakes of meat, fat, carbohydrates, and sugar reported lower Physical Composite Score compared to their counterparts. Skipping breakfast, physical inactivity, and alcohol score were inversely associated with HRQoL. This study highlights the need for strategies to address the poor lifestyle and HRQoL in nursing students to support their physical and mental health.
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Affiliation(s)
- Penny Heidke
- School of Nursing, Midwifery and Social Sciences, Central Queensland University, Rockhampton, Queensland, Australia
| | - Corneel Vandelanotte
- Physical Activity Research Group, Appleton Institute, School of Health Medical and Applied Sciences, Central Queensland University, Rockhampton, Queensland, Australia
| | - Christopher Irwin
- School of Allied Health Sciences, Griffith University, Gold Coast, Queensland, Australia
| | - Susan Williams
- Physical Activity Research Group, Appleton Institute, School of Health Medical and Applied Sciences, Central Queensland University, Rockhampton, Queensland, Australia
| | - Sonia Saluja
- School of Health Medical and Applied Sciences, Central Queensland University, Rockhampton, Queensland, Australia
| | - Saman Khalesi
- Physical Activity Research Group, Appleton Institute, School of Health Medical and Applied Sciences, Central Queensland University, Rockhampton, Queensland, Australia
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20
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Duncan MJ, Rayward AT, Holliday EG, Brown WJ, Vandelanotte C, Murawski B, Plotnikoff RC. Effect of a physical activity and sleep m-health intervention on a composite activity-sleep behaviour score and mental health: a mediation analysis of two randomised controlled trials. Int J Behav Nutr Phys Act 2021; 18:45. [PMID: 33766051 PMCID: PMC7992852 DOI: 10.1186/s12966-021-01112-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Accepted: 03/12/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND To examine if a composite activity-sleep behaviour index (ASI) mediates the effects of a combined physical activity and sleep intervention on symptoms of depression, anxiety, or stress, quality of life (QOL), energy and fatigue in adults. METHODS This analysis used data pooled from two studies: Synergy and Refresh. Synergy: Physically inactive adults (18-65 years) who reported poor sleep quality were recruited for a two-arm Randomised Controlled Trial (RCT) (Physical Activity and Sleep Health (PAS; n = 80), or Wait-list Control (CON; n = 80) groups). Refresh: Physically inactive adults (40-65 years) who reported poor sleep quality were recruited for a three-arm RCT (PAS (n = 110), Sleep Health-Only (SO; n = 110) or CON (n = 55) groups). The SO group was omitted from this study. The PAS groups received a pedometer, and accessed a smartphone/tablet "app" using behaviour change strategies (e.g., self-monitoring, goal setting, action planning), with additional email/SMS support. The ASI score comprised self-reported moderate-to-vigorous-intensity physical activity, resistance training, sitting time, sleep duration, efficiency, quality and timing. Outcomes were assessed using DASS-21 (depression, anxiety, stress), SF-12 (QOL-physical, QOL-mental) and SF-36 (Energy & Fatigue). Assessments were conducted at baseline, 3 months (primary time-point), and 6 months. Mediation effects were examined using Structural Equation Modelling and the product of coefficients approach (AB), with significance set at 0.05. RESULTS At 3 months there were no direct intervention effects on mental health, QOL or energy and fatigue (all p > 0.05), and the intervention significantly improved the ASI (all p < 0.05). A more favourable ASI score was associated with improved symptoms of depression, anxiety, stress, QOL-mental and of energy and fatigue (all p < 0.05). The intervention effects on symptoms of depression ([AB; 95%CI] -0.31; - 0.60,-0.11), anxiety (- 0.11; - 0.27,-0.01), stress (- 0.37; - 0.65,-0.174), QOL-mental (0.53; 0.22, 1.01) and ratings of energy and fatigue (0.85; 0.33, 1.63) were mediated by ASI. At 6 months the magnitude of association was larger although the overall pattern of results remained similar. CONCLUSIONS Improvements in the overall physical activity and sleep behaviours of adults partially mediated the intervention effects on mental health and quality of life outcomes. This highlights the potential benefit of improving the overall pattern of physical activity and sleep on these outcomes. TRIAL REGISTRATION Australian New Zealand Clinical Trial Registry: ACTRN12617000680369 ; ACTRN12617000376347 . Universal Trial number: U1111-1194-2680; U1111-1186-6588. Human Research Ethics Committee Approval: H-2016-0267; H-2016-0181.
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Affiliation(s)
- Mitch J Duncan
- School of Medicine & Public Health; Faculty of Health and Medicine, Priority Research Centre for Physical Activity and Nutrition, The University of Newcastle, University Drive, Callaghan, NSW, 2308, Australia. .,Priority Research Centre for Physical Activity and Nutrition, The University of Newcastle, University Drive, Callaghan, NSW, 2308, Australia.
| | - Anna T Rayward
- School of Medicine & Public Health; Faculty of Health and Medicine, Priority Research Centre for Physical Activity and Nutrition, The University of Newcastle, University Drive, Callaghan, NSW, 2308, Australia.,School of Education, University of Newcastle, Callaghan, NSW, 2308, Australia
| | - Elizabeth G Holliday
- School of Medicine & Public Health; Faculty of Health and Medicine, Priority Research Centre for Physical Activity and Nutrition, The University of Newcastle, University Drive, Callaghan, NSW, 2308, Australia
| | - Wendy J Brown
- School of Human Movement and Nutrition Sciences, The University of Queensland, St Lucia, QLD, 4072, Australia
| | - Corneel Vandelanotte
- Physical Activity Research Group, School for Health, Medical and Applied Sciences, Central Queensland University, Rockhampton, Queensland, Australia
| | - Beatrice Murawski
- School of Medicine & Public Health; Faculty of Health and Medicine, Priority Research Centre for Physical Activity and Nutrition, The University of Newcastle, University Drive, Callaghan, NSW, 2308, Australia.,Priority Research Centre for Physical Activity and Nutrition, The University of Newcastle, University Drive, Callaghan, NSW, 2308, Australia
| | - Ronald C Plotnikoff
- School of Medicine & Public Health; Faculty of Health and Medicine, Priority Research Centre for Physical Activity and Nutrition, The University of Newcastle, University Drive, Callaghan, NSW, 2308, Australia.,School of Education, University of Newcastle, Callaghan, NSW, 2308, Australia
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21
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Ferrari G, Werneck AO, Silva DR, Kovalskys I, Gómez G, Rigotti A, Cortés LY, García MY, Liria M, Herrera-Cuenca M, Zimberg IZ, Guajardo V, Pratt M, Cristi-Montero C, Marques A, Peralta M, Bolados CC, Leme ACB, Rollo S, Fisberg M. Agreement Between Self-Reported and Device-Based Sedentary Time among Eight Countries: Findings from the ELANS. PREVENTION SCIENCE : THE OFFICIAL JOURNAL OF THE SOCIETY FOR PREVENTION RESEARCH 2021; 22:1036-1047. [PMID: 33502675 DOI: 10.1007/s11121-021-01206-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/04/2021] [Indexed: 11/29/2022]
Abstract
The purpose of this study was to analyze the agreement between self-reported and device-based sedentary time among eight countries in Latin America. As part of the Latin American Study of Nutrition and Health (ELANS), data were collected from 2524 participants (18-65 years) across eight countries. Participants reported time spent sedentary in different activities (computer use at home, videogame use, reading, sitting down to chat with friends/relatives or listening to music, speaking on the phone, watching TV, and riding in a car). Overall sitting time was assessed using a single item from the International Physical Activity Questionnaire (IPAQ). Device-based sedentary time was assessed using Actigraph GT3X accelerometers. Self-reported overall sitting time (227.1 min/day) produced the lowest values of the three assessment methods, followed by self-reported sum of different types of sedentary behavior (364.1 min/day) and device-based sedentary time (568.6 min/day). Overall, correlation coefficients and ICC varied from weak to moderate (rho: 0.25-0.39; ICC: 0.21:0.39) between self-reported sum of different types of sedentary behavior, self-reported overall sitting time, and device-based sedentary time. The Bland-Altman plots indicated low to moderate agreement between self-reported overall sitting time and device-based sedentary time by sex. Self-report measures underestimate sedentary behavior and overall sitting time when compared with device-based measures. The weak and moderate level of agreement between methods indicates that caution is required when comparing associations between different self-report and device-based measures of sedentary behavior with health outcomes.
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Affiliation(s)
- Gerson Ferrari
- Laboratorio de Ciencias de la Actividad Física, el Deporte y la Salud, Facultad de Ciencias Médicas, Universidad de Santiago de Chile, USACH, Las Sophoras 175, Estación Central, Santiago, Chile.
| | - André O Werneck
- Department of Nutrition, School of Public Health, Universidade de São Paulo (USP), São Paulo, Brazil
| | - Danilo R Silva
- Department of Physical Education, Federal University of Sergipe - UFS, São Cristóvão, Brazil
| | - Irina Kovalskys
- Carrera de Nutrición, Facultad de Ciencias Médicas, Pontificia Universidad Católica Argentina, Buenos Aires, Argentina
| | - Georgina Gómez
- Departamento de Bioquímica, Escuela de Medicina, Universidad de Costa Rica, San José, Costa Rica
| | - Attilio Rigotti
- Centro de Nutrición Molecular y Enfermedades Crónicas, Departamento de Nutrición, Diabetes y Metabolismo, Escuela de Medicina, Pontificia Universidad Católica, Santiago, Chile
| | - Lilia Yadira Cortés
- Departamento de Nutrición y Bioquímica, Pontificia Universidad Javeriana, Bogotá, Colombia
| | - Martha Yépez García
- Colégio de Ciencias de la Salud, Universidad San Francisco de Quito, Quito, Ecuador
| | - María Liria
- Instituto de Investigación Nutricional, La Molina, Lima, Peru
| | - Marianella Herrera-Cuenca
- Centro de Estudios del Desarrollo, Universidad Central de Venezuela (CENDES-UCV)/Fundación Bengoa, Caracas, Venezuela
| | - Ioná Zalcman Zimberg
- Departamento de Psicobiologia, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Viviana Guajardo
- Carrera de Nutrición, Facultad de Ciencias Médicas, Pontificia Universidad Católica Argentina, Buenos Aires, Argentina
| | - Michael Pratt
- Institute for Public Health, University of California San Diego, La Jolla, CA, USA
| | - Carlos Cristi-Montero
- IRyS Group, Physical Education School, Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile
| | - Adilson Marques
- CIPER, Faculty of Human Kinetics, University of Lisbon, Lisbon, Portugal.,ISAMB, University of Lisbon, Lisbon, Portugal
| | - Miguel Peralta
- CIPER, Faculty of Human Kinetics, University of Lisbon, Lisbon, Portugal.,ISAMB, University of Lisbon, Lisbon, Portugal
| | - Cristian Cofre Bolados
- Laboratorio de Ciencias de la Actividad Física, el Deporte y la Salud, Facultad de Ciencias Médicas, Universidad de Santiago de Chile, USACH, Las Sophoras 175, Estación Central, Santiago, Chile
| | - Ana Carolina B Leme
- Department of Nutrition, School of Public Health, Universidade de São Paulo (USP), São Paulo, Brazil.,Family Relations and Applied Nutrition, University of Guelph, Guelph, Canada.,Instituto Pensi, Fundação José Luiz Egydio Setubal, Hospital Infantil Sabará, São Paulo, Brazil
| | - Scott Rollo
- Healthy Active Living and Obesity (HALO) Research Group, Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada.,School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada
| | - Mauro Fisberg
- Instituto Pensi, Fundação José Luiz Egydio Setubal, Hospital Infantil Sabará, São Paulo, Brazil.,Departamento de Pediatria da Universidade Federal de São Paulo, São Paulo, Brazil
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22
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Duncan MJ, Oftedal S, Rebar AL, Murawski B, Short CE, Rayward AT, Vandelanotte C. Patterns of physical activity, sitting time, and sleep in Australian adults: A latent class analysis. Sleep Health 2020; 6:828-834. [DOI: 10.1016/j.sleh.2020.04.006] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2018] [Revised: 03/04/2020] [Accepted: 04/16/2020] [Indexed: 01/22/2023]
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23
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Tabaczynski A, Whitehorn A, McAuley E, Trinh L. A comparison of total and domain-specific sedentary time in breast cancer survivors and age-matched healthy controls. J Behav Med 2020; 44:277-283. [PMID: 33185782 DOI: 10.1007/s10865-020-00195-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2020] [Accepted: 11/03/2020] [Indexed: 12/30/2022]
Abstract
Breast cancer survivors (BCS) engage in more sedentary behavior (SED) than those without cancer. However, the context in which SED is accrued is unknown. The purpose of this study is to examine differences in total and domain-specific SED of BCS and healthy controls. 20 BCS and 20 age-matched, healthy controls wore ActiGraph GT3X + accelerometers to measure SED and activity. Participants self-reported SED for transportation, occupational, screen time and leisure purposes. Multiple linear regressions were used to estimate differences in SED between BCS and controls. BCS spent significantly more time watching TV (152.4 vs. 60.3; p < 0.01) and less time in total SED (490.8 vs. 587.4; p = 0.046) and other leisure activities (57.6 vs. 106.9; p < 0.01) than healthy controls. BCS engage in more TV watching and less time in other leisure activities than controls, thus interventions should focus on reducing TV time. Understanding facilitators of TV viewing is needed to determine specific intervention targets.
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Affiliation(s)
- Allyson Tabaczynski
- Faculty of Kinesiology and Physical Education, University of Toronto, 55 Harbord Street, Toronto, ON, M5S 2W6, Canada
| | - Alexis Whitehorn
- Faculty of Kinesiology and Physical Education, University of Toronto, 55 Harbord Street, Toronto, ON, M5S 2W6, Canada
| | - Edward McAuley
- Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Linda Trinh
- Faculty of Kinesiology and Physical Education, University of Toronto, 55 Harbord Street, Toronto, ON, M5S 2W6, Canada.
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24
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Vandelanotte C, Short CE, Plotnikoff RC, Rebar A, Alley S, Schoeppe S, Canoy DF, Hooker C, Power D, Oldmeadow C, Leigh L, To Q, Mummery WK, Duncan MJ. Are web-based personally tailored physical activity videos more effective than personally tailored text-based interventions? Results from the three-arm randomised controlled TaylorActive trial. Br J Sports Med 2020; 55:336-343. [DOI: 10.1136/bjsports-2020-102521] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/13/2020] [Indexed: 11/04/2022]
Abstract
ObjectivesSome online, personally tailored, text-based physical activity interventions have proven effective. However, people tend to ‘skim’ and ‘scan’ web-based text rather than thoroughly read their contents. In contrast, online videos are more engaging and popular. We examined whether web-based personally tailored physical activity videos were more effective in promoting physical activity than personally tailored text and generic information.Methods501 adults were randomised into a video-tailored intervention, text-tailored intervention or control. Over a 3-month period, intervention groups received access to eight sessions of web-based personally tailored physical activity advice. Only the delivery method differed between intervention groups: tailored video versus tailored text. The primary outcome was 7-day ActiGraph-GT3X+ measured moderate-to-vigorous physical activity (MVPA) assessed at 0, 3 and 9 months. Secondary outcomes included self-reported MVPA and website engagement. Differences were examined using generalised linear mixed models with intention-to-treat and multiple imputation.ResultsAccelerometer-assessed MVPA increased 23% in the control (1.23 (1.06, 1.43)), 12% in the text-tailored (1.12 (0.95, 1.32)) and 28% in the video-tailored (1.28 (1.06, 1.53)) groups at the 3-month follow-up only, though there were no significant between-group differences. Both text-tailored (1.77 (1.37, 2.28]) and video-tailored (1.37 (1.04, 1.79)) groups significantly increased self-reported MVPA more than the control group at 3 months only, but there were no differences between video-tailored and text-tailored groups. The video-tailored group spent significantly more time on the website compared with text-tailored participants (90 vs 77 min, p=0.02).ConclusionsThe personally tailored videos were not more effective than personally tailored text in increasing MVPA. The findings from this study conflict with pilot study outcomes and previous literature. Process evaluation and mediation analyses will provide further insights.Trial registration numberACTRN12615000057583
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25
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Sedentary Behavior, Physical Inactivity, and Metabolic Syndrome: Pilot Findings From the Rapid Assessment Disuse Index Study. J Phys Act Health 2020; 17:1042-1046. [PMID: 32908021 DOI: 10.1123/jpah.2019-0645] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2019] [Revised: 06/17/2020] [Accepted: 07/31/2020] [Indexed: 11/18/2022]
Abstract
BACKGROUND The Rapid Assessment Disuse Index (RADI) is a brief tool aimed to promptly assess primary care patients' overall physical inactivity and sedentary behavior. This study examines the relation between physical inactivity and sitting time (RADI) to cardiometabolic risk among primary care patients. METHODS Survey data and electronic medical record information were collated to explore the association between RADI scores (cumulative and sitting) to metabolic syndrome (and components) among women and men, using multivariable logistic regression. RESULTS Among women, the cumulative RADI score was not significantly associated with metabolic syndrome. However, the RADI sitting score was related to low high-density lipoprotein cholesterol and metabolic syndrome. That is, a transition to a higher RADI sitting score by 1 unit (vs remaining in the score) was related with a 1.4 and 1.3 times higher odds for having low high-density lipoprotein cholesterol (95% confidence interval, 1.05-1.87) and metabolic syndrome (95% confidence interval, 1.02-1.64), respectively. Among men, no significant relations were found. CONCLUSIONS The RADI sitting score is positively and significantly related to high-density lipoprotein and metabolic syndrome among women, yet not men. Due to the RADI's potential clinical utility, future research should attempt to examine these relations in larger, more robust samples and adjudicated outcomes using a prospective design.
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26
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Duncan MJ, Fenton S, Brown WJ, Collins CE, Glozier N, Kolt GS, Holliday EG, Morgan PJ, Murawski B, Plotnikoff RC, Rayward AT, Stamatakis E, Vandelanotte C, Burrows TL. Efficacy of a Multi-component m-Health Weight-loss Intervention in Overweight and Obese Adults: A Randomised Controlled Trial. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:E6200. [PMID: 32859100 PMCID: PMC7503928 DOI: 10.3390/ijerph17176200] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Revised: 08/14/2020] [Accepted: 08/17/2020] [Indexed: 12/27/2022]
Abstract
BACKGROUND This study compared the efficacy of two multi-component m-health interventions with a wait-list control group on body weight (primary outcome), and secondary outcomes of cardiovascular risk factors, lifestyle behaviours, and mental health. METHODS Three-arm randomised controlled trial (Enhanced: physical activity, diet, sleep, Traditional: physical activity, diet, Control) with assessments conducted at baseline, 6 and 12 months. Participants (n = 116) were overweight or obese adults aged 19-65 (M = 44.5 [SD = 10.5]). The 6-month intervention was delivered via a smartphone app providing educational materials, goal-setting, self-monitoring and feedback, and also included one face-to-face dietary consultation, a Fitbit and scales. The trial was prospectively registered and conducted between May 2017 and September 2018. Group differences on primary and secondary outcomes were examined between the Pooled Intervention groups (Pooled Intervention = Enhanced and Traditional) and Control groups, and then between Enhanced and Traditional groups. RESULTS Nineteen participants (16.4%) formally withdrew from the trial. Compared with the Control group, average body weight of the Pooled Intervention group did not differ at 6 (between-group difference = -0.92, (95% CI -3.33, 1.48)) or 12 months (0.00, (95% CI -2.62, 2.62)). Compared with the Control group, the Pooled Intervention group significantly increased resistance training (OR = 7.83, (95% CI 1.08, 56.63)) and reduced energy intake at 6 months (-1037.03, (-2028.84, -45.22)), and improved insomnia symptoms at 12 months (-2.59, (-4.79, -0.39)). Compared with the Traditional group, the Enhanced group had increased waist circumferences (2.69, (0.20, 5.18)) and sedentary time at 6 months (105.66, (30.83, 180.48)), and improved bed time variability at 12 months (-1.08, (-1.86, -0.29)). No other significant differences were observed between groups. CONCLUSIONS Relative to Controls, the Pooled Intervention groups did not differ on body weight but improved resistance training, and reduced energy intake and insomnia symptom severity. No additional weight loss was apparent when targeting improvements in physical activity, diet and sleep in combination compared with physical activity and diet.
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Affiliation(s)
- Mitch J. Duncan
- School of Medicine & Public Health, Faculty of Health and Medicine, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia; (S.F.); (E.G.H.); (B.M.)
- Priority Research Centre for Physical Activity and Nutrition, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia; (C.E.C.); (P.J.M.); (R.C.P.); (A.T.R.); (T.L.B.)
| | - Sasha Fenton
- School of Medicine & Public Health, Faculty of Health and Medicine, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia; (S.F.); (E.G.H.); (B.M.)
- Priority Research Centre for Physical Activity and Nutrition, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia; (C.E.C.); (P.J.M.); (R.C.P.); (A.T.R.); (T.L.B.)
| | - Wendy J. Brown
- School of Human Movement and Nutrition Sciences, The University of Queensland, St Lucia, QLD 4067, Australia;
| | - Clare E. Collins
- Priority Research Centre for Physical Activity and Nutrition, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia; (C.E.C.); (P.J.M.); (R.C.P.); (A.T.R.); (T.L.B.)
- School of Health Sciences, Faculty of Health and Medicine, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
| | - Nicholas Glozier
- Brain and Mind Centre, Central Clinical School, The University of Sydney, 94 Mallett St, Camperdown, NSW 2050, Australia;
| | - Gregory S. Kolt
- School of Health Sciences, Western Sydney University, Penrith, NSW 2751, Australia;
| | - Elizabeth G. Holliday
- School of Medicine & Public Health, Faculty of Health and Medicine, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia; (S.F.); (E.G.H.); (B.M.)
| | - Philip J. Morgan
- Priority Research Centre for Physical Activity and Nutrition, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia; (C.E.C.); (P.J.M.); (R.C.P.); (A.T.R.); (T.L.B.)
- School of Education, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
| | - Beatrice Murawski
- School of Medicine & Public Health, Faculty of Health and Medicine, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia; (S.F.); (E.G.H.); (B.M.)
- Priority Research Centre for Physical Activity and Nutrition, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia; (C.E.C.); (P.J.M.); (R.C.P.); (A.T.R.); (T.L.B.)
| | - Ronald C. Plotnikoff
- Priority Research Centre for Physical Activity and Nutrition, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia; (C.E.C.); (P.J.M.); (R.C.P.); (A.T.R.); (T.L.B.)
- School of Education, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
| | - Anna T. Rayward
- Priority Research Centre for Physical Activity and Nutrition, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia; (C.E.C.); (P.J.M.); (R.C.P.); (A.T.R.); (T.L.B.)
- School of Education, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
| | - Emmanuel Stamatakis
- Charles Perkins Centre, Faculty of Medicine and Health, School of Health Sciences, Sydney 2006, Australia;
| | - Corneel Vandelanotte
- Physical Activity Research Group, Appleton Institute, School of Health, Medical and Applied Science, Central Queensland University, Rockhampton, QLD 4700, Australia;
| | - Tracy L. Burrows
- Priority Research Centre for Physical Activity and Nutrition, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia; (C.E.C.); (P.J.M.); (R.C.P.); (A.T.R.); (T.L.B.)
- School of Health Sciences, Faculty of Health and Medicine, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
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27
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Ferrari GLDM, Oliveira Werneck A, Rodrigues da Silva D, Kovalskys I, Gómez G, Rigotti A, Yadira Cortés Sanabria L, García MCY, Pareja RG, Herrera-Cuenca M, Zalcman Zimberg I, Guajardo V, Pratt M, Cofre Bolados C, Fuentes Kloss R, Rollo S, Fisberg M. Socio-Demographic Correlates of Total and Domain-Specific Sedentary Behavior in Latin America: A Population-Based Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17155587. [PMID: 32756330 PMCID: PMC7432879 DOI: 10.3390/ijerph17155587] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 05/11/2020] [Revised: 07/02/2020] [Accepted: 07/08/2020] [Indexed: 12/13/2022]
Abstract
Purpose: The aim of this study was to identify socio-demographic correlates of total and domain-specific sedentary behavior (SB). Methods: Cross-sectional findings are based on 9218 participants (15–65 years) from the Latin American Study of Nutrition and Health. Data were collected between September 2014 and February 2015. Participants reported time spent in SB across specific domains. Sex, age, ethnicity, socioeconomic (SEL), and education level were used as sociodemographic indicators. Results: Participants spent a total of 373.3 min/day engaged in total SB. Men, younger adults, other ethnicities, higher SEL and educational level presented higher total SB when compared with women, older adults, white/Caucasian, and low SEL and educational level. Men spent more time on the playing videogames (b: 32.8: 95% CI: 14.6;51.1) and riding in an automobile (40.5: 31.3; 49.8). Computer time, reading, socializing or listening to music was higher in younger participants (<30 years) compared with those ≥50 years in the total sample. Compared to the low SEL and educational level groups, middle (11.7: 5.7; 17.6) and higher (15.1: 5.3; 24.9) SEL groups as well as middle (9.8: 3.6; 15.9) and higher (16.6: 6.5; 26.8) education level groups reported more time spent reading. Conclusion: Socio-demographic characteristics are associated with SB patterns (total and specific) across Latin American countries.
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Affiliation(s)
- Gerson Luis de Moraes Ferrari
- Laboratorio de Ciencias de la Actividad Física, el Deporte y la Salud, Facultad de Ciencias Médicas, Universidad de Santiago de Chile, USACH, Santiago 7500618, Chile; (C.C.B.); (R.F.K.)
- Correspondence: ; Tel.: +56-9-5398-0556
| | - André Oliveira Werneck
- Department of Nutrition, School of Public Health, Universidade de São Paulo (USP), São Paulo 01246-904, Brazil;
| | - Danilo Rodrigues da Silva
- Department of Physical Education, Federal University of Sergipe–UFS, São Cristóvão 49100-000, Brazil;
| | - Irina Kovalskys
- Carrera de Nutrición, Facultad de Ciencias Médicas, Pontificia Universidad Católica Argentina, Buenos Aires C1107 AAZ, Argentina; (I.K.); (V.G.)
| | - Georgina Gómez
- Departamento de Bioquímica, Escuela de Medicina, Universidad de Costa Rica, San José 11501-2060, Costa Rica;
| | - Attilio Rigotti
- Centro de Nutrición Molecular y Enfermedades Crónicas, Departamento de Nutrición, Diabetes y Metabolismo, Escuela de Medicina, Pontificia Universidad Católica, Santiago 833-0024, Chile;
| | | | | | - Rossina G. Pareja
- Instituto de Investigación Nutricional, La Molina, Lima 15026, Peru;
| | - Marianella Herrera-Cuenca
- Centro de Estudios del Desarrollo, Universidad Central de Venezuela (CENDES-UCV)/Fundación Bengoa, Caracas 1053, Venezuela;
| | - Ioná Zalcman Zimberg
- Departamento de Psicobiologia, Universidade Federal de São Paulo, São Paulo 04023-062, Brazil;
| | - Viviana Guajardo
- Carrera de Nutrición, Facultad de Ciencias Médicas, Pontificia Universidad Católica Argentina, Buenos Aires C1107 AAZ, Argentina; (I.K.); (V.G.)
| | - Michael Pratt
- Institute for Public Health, University of California San Diego, La Jolla, CA 92093-0021, USA;
| | - Cristian Cofre Bolados
- Laboratorio de Ciencias de la Actividad Física, el Deporte y la Salud, Facultad de Ciencias Médicas, Universidad de Santiago de Chile, USACH, Santiago 7500618, Chile; (C.C.B.); (R.F.K.)
| | - Rodrigo Fuentes Kloss
- Laboratorio de Ciencias de la Actividad Física, el Deporte y la Salud, Facultad de Ciencias Médicas, Universidad de Santiago de Chile, USACH, Santiago 7500618, Chile; (C.C.B.); (R.F.K.)
| | - Scott Rollo
- Healthy Active Living and Obesity (HALO) Research Group, Children’s Hospital of Eastern Ontario Research Institute, Ottawa, ON K1H 8L1, Canada;
- Department of Pediatrics, Faculty of Medicine, University of Ottawa, Ottawa, ON K1H 8M5, Canada
| | - Mauro Fisberg
- Instituto Pensi, Fundação José Luiz Egydio Setubal, Hospital Infantil Sabará, São Paulo 01227-200, Brazil;
- Departamento de Pediatria da Universidade Federal de São Paulo, São Paulo 04023-061, Brazil
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Tay CT, Moran LJ, Harrison CL, Brown WJ, Joham AE. Physical activity and sedentary behaviour in women with and without polycystic ovary syndrome: An Australian population-based cross-sectional study. Clin Endocrinol (Oxf) 2020; 93:154-162. [PMID: 32324293 DOI: 10.1111/cen.14205] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Revised: 04/03/2020] [Accepted: 04/20/2020] [Indexed: 01/05/2023]
Abstract
OBJECTIVE Lifestyle is the first-line treatment for women with polycystic ovary syndrome (PCOS). This study examines the physical activity (PA) levels and sedentary behaviours of women with and without PCOS, and their alignment with the PCOS PA guideline. METHODS This cross-sectional study on women (aged 22-27 years) in the Australian Longitudinal Study on Women's Health was conducted in 2019 using data collected in 2017. Self-reported PA levels and total daily sitting time (ST) of women with (n = 7051) and without (n = 796) self-reported PCOS were presented, stratified by body mass index (BMI) and a combined overweight/obese group. RESULTS 71.0% and 56.7% of the entire study cohort achieved PA levels recommended for weight maintenance and weight loss, respectively. Overall, PA levels were lower and ST was higher in women with than without PCOS. In each BMI category, similar proportions of women with and without PCOS met the PA guidelines but became lower as BMI category increased. Fewer overweight/obese group women with than without PCOS aligned with recommendations for weight maintenance (58.7% vs 65.7%, P = .003) or weight loss (45.1% vs 50.3%, P = .032). ST ≥8 h/d was observed in two-thirds of women with and without self-reported PCOS similarly before and after stratifying by BMI. CONCLUSION High sedentary behaviour was extremely prevalent. Although the majority of women met PA recommendations for weight maintenance, only one in two overweight/obese women met PA recommendation for weight loss. Overweight/obese women with PCOS were more likely to participate in insufficient PA and require increased support to achieve sustainable healthy lifestyle.
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Affiliation(s)
- Chau Thien Tay
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, Vic., Australia
- Department of Diabetes and Vascular Medicine, Monash Health, Melbourne, Vic., Australia
| | - Lisa J Moran
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, Vic., Australia
- Department of Diabetes and Vascular Medicine, Monash Health, Melbourne, Vic., Australia
| | - Cheryce L Harrison
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, Vic., Australia
| | - Wendy J Brown
- School of Human Movement and Nutrition Sciences, University of Queensland, Brisbane, Qld, Australia
| | - Anju E Joham
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, Vic., Australia
- Department of Diabetes and Vascular Medicine, Monash Health, Melbourne, Vic., Australia
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Vincent GE, Gupta CC, Sprajcer M, Vandelanotte C, Duncan MJ, Tucker P, Lastella M, Tuckwell GA, Ferguson SA. Are prolonged sitting and sleep restriction a dual curse for the modern workforce? a randomised controlled trial protocol. BMJ Open 2020; 10:e040613. [PMID: 32718927 PMCID: PMC7389768 DOI: 10.1136/bmjopen-2020-040613] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
INTRODUCTION Prolonged sitting and inadequate sleep are a growing concern in society and are associated with impairments to cardiometabolic health and cognitive performance. However, the combined effect of prolonged sitting and inadequate sleep on measures of health and cognitive performance are unknown. In addition, the circadian disruption caused by shiftwork may further impact workers' cardiometabolic health and cognitive performance. This protocol paper outlines the methodology for exploring the impact of simultaneous exposure to prolonged sitting, sleep restriction and circadian disruption on cardiometabolic and cognitive performance outcomes. METHODS AND ANALYSIS This between-subjects study will recruit 208 males and females to complete a 7-day in-laboratory experimental protocol (1 Adaptation Day, 5 Experimental Days and 1 Recovery Day). Participants will be allocated to one of eight conditions that include all possible combinations of the following: dayshift or nightshift, sitting or breaking up sitting and 5 hour or 9 hour sleep opportunity. On arrival to the laboratory, participants will be provided with a 9 hour baseline sleep opportunity (22:00 to 07:00) and complete five simulated work shifts (09:00 to 17:30 in the dayshift condition and 22:00 to 06:30 in the nightshift condition) followed by a 9 hour recovery sleep opportunity (22:00 to 07:00). During the work shifts participants in the sitting condition will remain seated, while participants in the breaking up sitting condition will complete 3-min bouts of light-intensity walking every 30 mins on a motorised treadmill. Sleep opportunities will be 9 hour or 5 hour. Primary outcome measures include continuously measured interstitial blood glucose, heart rate and blood pressure, and a cognitive performance and self-perceived capacity testing battery completed five times per shift. Analyses will be conducted using linear mixed models. ETHICS AND DISSEMINATION The CQUniversity Human Ethics Committee has approved this study (0000021914). All participants who have already completed the protocol have provided informed consent. Study findings will be disseminated via scientific publications and conference presentations. TRIAL REGISTRATION DETAILS This study has been registered on Australian New Zealand Clinical Trials Registry (12619001516178) and is currently in the pre-results stage.
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Affiliation(s)
- Grace E Vincent
- Appleton Institute, Central Queensland University - Adelaide Campus, Wayville, South Australia, Australia
| | - Charlotte C Gupta
- Appleton Institute, Central Queensland University - Adelaide Campus, Wayville, South Australia, Australia
| | - Madeline Sprajcer
- Appleton Institute, Central Queensland University - Adelaide Campus, Wayville, South Australia, Australia
| | - Corneel Vandelanotte
- School of Health Medical and Applied Sciences, Central Queensland University, Rockhampton, Queensland, Australia
| | - Mitch J Duncan
- School of Medicine & Public Health, Faculty of Health and Medicine, The University of Newcastle, Callaghan, NSW, Australia
- Priority Research Centre for Physical Activity and Nutrition, The University of Newcastle, Callaghan, NSW, Australia
| | - Phil Tucker
- Psychology Department, Swansea University, Swansea, United Kingdom
- Stress Research Institute, Department of Psychology, Stocklholm University, Stockholm, Sweden
| | - Michele Lastella
- Appleton Institute, Central Queensland University - Adelaide Campus, Wayville, South Australia, Australia
| | - Georgia A Tuckwell
- Appleton Institute, Central Queensland University - Adelaide Campus, Wayville, South Australia, Australia
| | - Sally A Ferguson
- Appleton Institute, Central Queensland University - Adelaide Campus, Wayville, South Australia, Australia
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Gao Y, Cronin NJ, Nevala N, Finni T. Validity of long-term and short-term recall of occupational sitting time in Finnish and Chinese office workers. JOURNAL OF SPORT AND HEALTH SCIENCE 2020; 9:345-351. [PMID: 32768127 PMCID: PMC7411120 DOI: 10.1016/j.jshs.2017.06.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/24/2016] [Revised: 11/10/2016] [Accepted: 05/15/2017] [Indexed: 06/11/2023]
Abstract
BACKGROUND As sedentary behavior is a global health issue, there is a need for methods of self-reported sitting assessment. The accuracy and reliability of these methods should also be tested in various populations and different cultural contexts. This study examined the validity of long-term and short-term recall of occupational sitting time in Finnish and Chinese subgroups. METHODS Two cohort groups of office-based workers (58.6% female, age range 22-67 years) participated: a Finnish group (FIN, n = 34) and a Chinese group (CHI, n = 36). Long-term (past 3-month sitting) and short-term (daily sitting assessed on 5 consecutive days) single-item measures were used to assess self-reported occupational sitting time. Values from each participant were compared to objectively measured occupational sitting time assessed via thigh-mounted accelerometers, with Spearman's rho (ρ) used to assess validity and the Bland-Altman method used to evaluate agreement. Coefficients of variation depicted day-to-day variability of time spent on sitting at work. RESULTS In the total study sample, the results showed that both long-term and short-term recall correlated with accelerometer-derived sitting time (ρ = 0.532, 95% confidence intervals (CI): 0.336-0.684, p< 0.001; ρ = 0.533, 95%CI: 0.449-0.607, p< 0.001, respectively). Compared to objectively measured sitting time, self-reported occupational sitting time was 2.4% (95%CI: -0.5% to 5.3%, p = 0.091) and 2.2% (95%CI: 0.7%-3.6%, p = 0.005) greater for long-term and short-term recall, respectively. The agreement level was within the range -21.2% to 25.9% for long-term recall, and -24.2% to 28.5% for short-term recall. During a 5-day work week, day-to-day variation of sitting time was 9.4% ± 11.4% according to short-term recall and 10.4% ± 8.4% according to accelerometry-derived occupational sitting time. CONCLUSION Overall, both long-term and short-term self-reported instruments provide acceptable measures of occupational sitting time in an office-based workplace, but their utility at the individual level is limited due to large variability.
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Affiliation(s)
- Ying Gao
- Neuromuscular Research Center, Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä FI-40014, Finland.
| | - Neil J Cronin
- Neuromuscular Research Center, Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä FI-40014, Finland
| | - Nina Nevala
- Finnish Institute of Occupational Health, Helsinki FI-00250, Finland
| | - Taija Finni
- Neuromuscular Research Center, Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä FI-40014, Finland
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Bakker EA, Hartman YAW, Hopman MTE, Hopkins ND, Graves LEF, Dunstan DW, Healy GN, Eijsvogels TMH, Thijssen DHJ. Validity and reliability of subjective methods to assess sedentary behaviour in adults: a systematic review and meta-analysis. Int J Behav Nutr Phys Act 2020; 17:75. [PMID: 32539720 PMCID: PMC7294635 DOI: 10.1186/s12966-020-00972-1] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2019] [Accepted: 05/12/2020] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND Subjective measures of sedentary behaviour (SB) (i.e. questionnaires and diaries/logs) are widely implemented, and can be useful for capturing type and context of SBs. However, little is known about comparative validity and reliability. The aim of this systematic review and meta-analysis was to: 1) identify subjective methods to assess overall, domain- and behaviour-specific SB, and 2) examine the validity and reliability of these methods. METHODS The databases MEDLINE, EMBASE and SPORTDiscus were searched up to March 2020. Inclusion criteria were: 1) assessment of SB, 2) evaluation of subjective measurement tools, 3) being performed in healthy adults, 4) manuscript written in English, and 5) paper was peer-reviewed. Data of validity and/or reliability measurements was extracted from included studies and a meta-analysis using random effects was performed to assess the pooled correlation coefficients of the validity. RESULTS The systematic search resulted in 2423 hits. After excluding duplicates and screening on title and abstract, 82 studies were included with 75 self-reported measurement tools. There was wide variability in the measurement properties and quality of the studies. The criterion validity varied between poor-to-excellent (correlation coefficient [R] range - 0.01- 0.90) with logs/diaries (R = 0.63 [95%CI 0.48-0.78]) showing higher criterion validity compared to questionnaires (R = 0.35 [95%CI 0.32-0.39]). Furthermore, correlation coefficients of single- and multiple-item questionnaires were comparable (1-item R = 0.34; 2-to-9-items R = 0.35; ≥10-items R = 0.37). The reliability of SB measures was moderate-to-good, with the quality of these studies being mostly fair-to-good. CONCLUSION Logs and diaries are recommended to validly and reliably assess self-reported SB. However, due to time and resources constraints, 1-item questionnaires may be preferred to subjectively assess SB in large-scale observations when showing similar validity and reliability compared to longer questionnaires. REGISTRATION NUMBER CRD42018105994.
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Affiliation(s)
- Esmée A Bakker
- Radboud Institute for Health Sciences, Department of Physiology, Radboud University Medical Center, P.O. Box 9101, 6500, HB, Nijmegen, The Netherlands
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, UK
| | - Yvonne A W Hartman
- Radboud Institute for Health Sciences, Department of Physiology, Radboud University Medical Center, P.O. Box 9101, 6500, HB, Nijmegen, The Netherlands
| | - Maria T E Hopman
- Radboud Institute for Health Sciences, Department of Physiology, Radboud University Medical Center, P.O. Box 9101, 6500, HB, Nijmegen, The Netherlands
| | - Nicola D Hopkins
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, UK
| | - Lee E F Graves
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, UK
| | - David W Dunstan
- Baker Heart & Diabetes Institute, Melbourne, Australia
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
| | - Genevieve N Healy
- The University of Queensland, School of Public Health, Brisbane, Australia
| | - Thijs M H Eijsvogels
- Radboud Institute for Health Sciences, Department of Physiology, Radboud University Medical Center, P.O. Box 9101, 6500, HB, Nijmegen, The Netherlands
| | - Dick H J Thijssen
- Radboud Institute for Health Sciences, Department of Physiology, Radboud University Medical Center, P.O. Box 9101, 6500, HB, Nijmegen, The Netherlands.
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, UK.
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Izawa KP, Oka K. Gender-related Differences in Sedentary Behavior of Japanese Living Overseas in Malaysia. Rev Recent Clin Trials 2020; 15:214-218. [PMID: 32448105 DOI: 10.2174/1574887115666200524235754] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2020] [Revised: 05/04/2020] [Accepted: 05/07/2020] [Indexed: 11/22/2022]
Abstract
BACKGROUND The purpose of the present study was to clarify the differences in social demographic factors and sedentary behavior by gender in Japanese living overseas in Malaysia. METHODS First, 130 subjects were surveyed by self-entry questionnaire for statistical factors related to social demographics and sedentary behavior. These factors were age (years), gender (man/woman), body mass index (BMI, kg/m2), educational history (>13 years, %), employment (full-time or part-time, yes, %), alcohol intake (a certain amount, yes, %), smoking behavior (yes, %), and marital status (yes, %). BMI, as obtained from the participants' weight and height, was collected from the self-reported questionnaire and assessed. Sitting behavior time as an index of sedentary behavior on workdays, non-workdays, and total time was identified by questionnaire. Data were analyzed using the chi square-test and t-test, respectively. The criterion for a statistically significant difference was p < 0.05. RESULTS Finally, 107 subjects (68 men, 39 women) were analyzed. The ratios of social demographic factors of the men versus women group were age (58.5 ± 14.7 vs. 61.0 ± 12.1 years, p = 0.36), BMI (23.1 ± 2.6 vs. 21.8 ± 2.6 kg/m2, p = 0.01), educational history (86.7% vs. 56.4%, p < 0.001), employment (51.5% vs. 10.3%, p <0.001), alcohol intake (86.7% vs. 35.9%, p < 0.001), smoking behavior (30.9% vs. 10.3%, p = 0.01), and marital status (88.2% vs. 100%, p = 0.02). Sitting behavior time was 501.8 ± 254.6 vs. 346.0 ± 153.4 minutes (p < 0.001) on workdays, 415.1 ± 225.3 vs. 320.6 ± 178.7 minutes (p = 0.019) on non-workdays, and 458.5 ± 203.9 vs. 333.3 ± 132.1 minutes (p < 0.001) in total. CONCLUSION These findings indicated that social demographic factors and sitting behavior time differed by gender. However, there are some limitations. This was a cross-sectional study conducted in only one city with a small number of participants who completed a self-entry questionnaire. In conclusion, assessment of the differences in social demographic factors and postponement of sedentary behavior for both genders may reduce sitting behavior time in overseas Japanese residents and may help in developing public health strategies.
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Affiliation(s)
- Kazuhiro P Izawa
- Faculty of Sport Sciences, Waseda University, Tokorozawa 359-1192, Japan
| | - Koichiro Oka
- Faculty of Sport Sciences, Waseda University, Tokorozawa 359-1192, Japan
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Chapman J, Fletcher C, Corsini N, de Cure G. Australian office workers' response to sedentary behaviour messaging. INTERNATIONAL JOURNAL OF WORKPLACE HEALTH MANAGEMENT 2020. [DOI: 10.1108/ijwhm-12-2018-0157] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
PurposeTo provide insight into how office workers respond to sedentary health messages following the introduction of the Australian Physical Activity and Sedentary Behaviour Guidelines.Design/methodology/approachVia online survey, office workers (n = 185) reported awareness of the Guidelines and sedentary risk, availability of workplace movement-based initiatives, and measures of sitting time, intention, self-efficacy, and perceived barriers to sedentary behaviour. Participants then viewed one of two brief messages (“Occupational Risk” or “Strategies”); indicated their message receptivity and provided written recommendations. Participants who consented to a second survey (n = 126) completed sitting time and psychological measures again after four weeks.FindingsOnly 23% were aware of the Guidelines; willingness to follow public health guidance was mixed. Barriers to adoption were apparent for existing initiatives. Message receptivity was high for both messages. For the follow-up survey, an improvement in psychological variables and workplace sitting was reported in those who viewed the Occupational Risk compared to the Strategies message. Qualitative analysis revealed lack of organisational support and called for increased employer responsibility.Research limitations/implicationsAs participants self-selected into the study, the sample may be more health-conscious than the typical office worker.Practical implicationsWorkers are receptive to brief messages and the Occupational Risk message showed promise in promoting change. However, sedentary exposure is viewed as an organisational-level issue. A “whole of workplace” approach is needed with co-designed strategies tailored to the culture and working practices within the organisation.Originality/valueThis study offers insight into avenues for improving the management of prolonged sitting and workplace sedentary behaviour.
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Renaud LR, Jelsma JGM, Huysmans MA, van Nassau F, Lakerveld J, Speklé EM, Bosmans JE, Stijnman DPM, Loyen A, van der Beek AJ, van der Ploeg HP. Effectiveness of the multi-component dynamic work intervention to reduce sitting time in office workers - Results from a pragmatic cluster randomised controlled trial. APPLIED ERGONOMICS 2020; 84:103027. [PMID: 31987512 DOI: 10.1016/j.apergo.2019.103027] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/27/2019] [Revised: 11/15/2019] [Accepted: 12/02/2019] [Indexed: 06/10/2023]
Abstract
OBJECTIVE Prolonged sitting, which is highly prevalent in office workers, has been associated with several health risks. The aim of this study was to evaluate the Dynamic Work intervention by determining its effect on total sitting time at the 8-month follow-up in comparison to the control. METHODS This two-arm pragmatic cluster randomised controlled trial included 244 office workers from 14 different departments of a large, Dutch insurance company. The Dynamic Work intervention was a real-life, worksite intervention that included environmental components (i.e. sit-stand workstations), organisational components (i.e. group sessions), and individual components (e.g. activity/sitting trackers). Outcomes were assessed at baseline, 4-month follow-up, and 8-month follow-up. The primary outcome was total sitting time per day, objectively assessed using the activPAL activity monitor at 8-month follow-up. Secondary outcomes included other total and occupational movement behaviour outcomes, health-related outcomes, and work-related outcomes. Data analyses were performed using linear and logistic mixed models. RESULTS Total sitting time did not differ between the intervention and control group at the 8-month follow-up. Secondary outcomes also showed no difference between the intervention and control group at either the 4-month or at 8-month follow-up, with the exception of number of occupational steps, which showed a statistically significant effect at 4-month follow-up (but not at 8-month follow-up) of 913 (95% CI = 381-1445) steps/8-h working day. CONCLUSIONS This study evaluated the effectiveness of a real-life worksite intervention to reduce sitting time and showed little to no effect. This may be due to the relatively low intensity of the intervention, i.e. that it only involved the replacement of 25% of sitting workstations with sit-stand workstations. Future research should focus on the evaluation of more intensive real-life worksite interventions that are still feasible for implementation in daily practice. CLINICALTRIALS. GOV, REGISTRATION NUMBER NCT03115645.
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Affiliation(s)
- Lidewij R Renaud
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Public and Occupational Health, Amsterdam Public Health Research Institute, the Netherlands.
| | - Judith G M Jelsma
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Public and Occupational Health, Amsterdam Public Health Research Institute, the Netherlands
| | - Maaike A Huysmans
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Public and Occupational Health, Amsterdam Public Health Research Institute, the Netherlands
| | - Femke van Nassau
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Public and Occupational Health, Amsterdam Public Health Research Institute, the Netherlands
| | - Jeroen Lakerveld
- Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam UMC, the Netherlands; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands; Global Geo Health Data Center, Utrecht University, Utrecht, the Netherlands
| | - Erwin M Speklé
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Public and Occupational Health, Amsterdam Public Health Research Institute, the Netherlands; Arbo Unie, Occupational Health Service, Utrecht, the Netherlands
| | - Judith E Bosmans
- Department of Health Sciences, Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, the Netherlands
| | - Dominique P M Stijnman
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Pediatrics, Amsterdam Cardiovascular Sciences Institute, the Netherlands
| | - Anne Loyen
- National Institute for Public Health and the Environment, Centre for Nutrition, Prevention and Health Services, Bilthoven, the Netherlands
| | - Allard J van der Beek
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Public and Occupational Health, Amsterdam Public Health Research Institute, the Netherlands
| | - Hidde P van der Ploeg
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Public and Occupational Health, Amsterdam Public Health Research Institute, the Netherlands
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Prince SA, Cardilli L, Reed JL, Saunders TJ, Kite C, Douillette K, Fournier K, Buckley JP. A comparison of self-reported and device measured sedentary behaviour in adults: a systematic review and meta-analysis. Int J Behav Nutr Phys Act 2020; 17:31. [PMID: 32131845 PMCID: PMC7055033 DOI: 10.1186/s12966-020-00938-3] [Citation(s) in RCA: 191] [Impact Index Per Article: 47.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2019] [Accepted: 02/19/2020] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Sedentary behaviour (SB) is a risk factor for chronic disease and premature mortality. While many individual studies have examined the reliability and validity of various self-report measures for assessing SB, it is not clear, in general, how self-reported SB (e.g., questionnaires, logs, ecological momentary assessments (EMAs)) compares to device measures (e.g., accelerometers, inclinometers). OBJECTIVE The primary objective of this systematic review was to compare self-report versus device measures of SB in adults. METHODS Six bibliographic databases were searched to identify all studies which included a comparable self-report and device measure of SB in adults. Risk of bias within and across studies was assessed. Results were synthesized using meta-analyses. RESULTS The review included 185 unique studies. A total of 123 studies comprising 173 comparisons and data from 55,199 participants were used to examine general criterion validity. The average mean difference was -105.19 minutes/day (95% CI: -127.21, -83.17); self-report underestimated sedentary time by ~1.74 hours/day compared to device measures. Self-reported time spent sedentary at work was ~40 minutes higher than when assessed by devices. Single item measures performed more poorly than multi-item questionnaires, EMAs and logs/diaries. On average, when compared to inclinometers, multi-item questionnaires, EMAs and logs/diaries were not significantly different, but had substantial amount of variability (up to 6 hours/day within individual studies) with approximately half over-reporting and half under-reporting. A total of 54 studies provided an assessment of reliability of a self-report measure, on average the reliability was good (ICC = 0.66). CONCLUSIONS Evidence from this review suggests that single-item self-report measures generally underestimate sedentary time when compared to device measures. For accuracy, multi-item questionnaires, EMAs and logs/diaries with a shorter recall period should be encouraged above single item questions and longer recall periods if sedentary time is a primary outcome of study. Users should also be aware of the high degree of variability between and within tools. Studies should exert caution when comparing associations between different self-report and device measures with health outcomes. SYSTEMATIC REVIEW REGISTRATION PROSPERO CRD42019118755.
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Affiliation(s)
- Stephanie A Prince
- Division of Cardiac Prevention and Rehabilitation, University of Ottawa Heart Institute, Ottawa, Canada.
- Centre for Surveillance and Applied Research, Public Health Agency of Canada, 785 Carling Avenue, Ottawa, K1A 0K9, Canada.
| | - Luca Cardilli
- Birmingham Community Healthcare NHS Foundation Trust, Community Cardiac Services, Birmingham, United Kingdom
- Centre for Active Living, University Centre Shrewsbury, University of Chester, Guildhall, Frankwell Quay, Shrewsbury, United Kingdom
| | - Jennifer L Reed
- Division of Cardiac Prevention and Rehabilitation, University of Ottawa Heart Institute, Ottawa, Canada
- School of Human Kinetics, Faculty of Health Sciences, University of Ottawa, Ottawa, Canada
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Canada
| | - Travis J Saunders
- Department of Applied Human Sciences, University of Prince Edward Island, Charlottetown, Canada
| | - Chris Kite
- Centre for Active Living, University Centre Shrewsbury, University of Chester, Guildhall, Frankwell Quay, Shrewsbury, United Kingdom
- School of Life and Health Sciences, Aston University, Birmingham, United Kingdom
| | - Kevin Douillette
- Department of Applied Human Sciences, University of Prince Edward Island, Charlottetown, Canada
| | - Karine Fournier
- Health Sciences Library, University of Ottawa, Ottawa, Canada
| | - John P Buckley
- Centre for Active Living, University Centre Shrewsbury, University of Chester, Guildhall, Frankwell Quay, Shrewsbury, United Kingdom
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Alley S, van Uffelen JG, Schoeppe S, Parkinson L, Hunt S, Power D, Duncan MJ, Schneiders AG, Vandelanotte C. Efficacy of a computer-tailored web-based physical activity intervention using Fitbits for older adults: a randomised controlled trial protocol. BMJ Open 2019; 9:e033305. [PMID: 31874890 PMCID: PMC7008447 DOI: 10.1136/bmjopen-2019-033305] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Abstract
INTRODUCTION Physical activity is an integral part of healthy ageing, yet the majority of older adults 65+ years are not sufficiently active. Web-based physical activity interventions hold much promise to reach older adults. Preliminary evidence suggests that web-based interventions with tailored advice and Fitbits may be well suited for older adults. METHODS AND ANALYSIS This study aims to test the effectiveness of 'Active for Life', a 12-week computer-tailored web-based physical activity intervention using Fitbits for older adults. We will recruit 300 participants who will be randomly assigned to one of three trial arms: (1) web-based physical activity intervention with tailored advice only, (2) web-based physical activity intervention with tailored advice and Fitbit or (3) a wait-list control. The primary outcome, objective moderate to vigorous physical activity (MVPA) and secondary outcomes of objective sedentary behaviour, objective sleep, quality of life, social support, physical function and satisfaction with life will be assessed at baseline and week 12. The secondary outcomes of self-reported physical activity, sitting time and sleep will be assessed at baseline, week 6, 12 and 24. Website usability and participant satisfaction will be assessed at week 12 and website usage and intervention fidelity will be assessed from week 1 to 24. Intention-to-treat linear mixed model analyses will be used to test for group (tailoring only, tailoring +Fitbit, control) differences on changes in the main outcome, MVPA and secondary outcomes. Generalised linear models will be used to compare intervention groups (tailoring only, tailoring +Fitbit) on website usability, participant satisfaction, website usage and intervention fidelity. ETHICS AND DISSEMINATION The study has received ethics approval from the Central Queensland University Human Research Ethics Committee (H16/12-321). Study outcomes will be disseminated through peer-reviewed publications and academic conferences and used to inform improvements and dissemination of a tailored, web-based physical activity intervention for adults 65+ years. TRIAL REGISTRATION NUMBER Australian and New Zealand Clinical Trials Registry Number: ACTRN12618000646246.
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Affiliation(s)
- Stephanie Alley
- School of Health, Medical and Applied Sciences, Appleton Institute, Physical Activity Research Group, CQUniversity, Rockhampton, Queensland, Australia
| | | | - Stephanie Schoeppe
- School of Health, Medical and Applied Sciences, Appleton Institute, Physical Activity Research Group, CQUniversity, Rockhampton, Queensland, Australia
| | - Lynne Parkinson
- School of Nursing, Midwifery and Social Sciences, Central Queensland University, Bundaburg, Queensland, Australia
| | - Susan Hunt
- School of Nursing, Midwifery and Social Sciences, Central Queensland University, Melbourne, Victoria, Australia
| | - Deborah Power
- School of Health, Medical and Applied Sciences, Appleton Institute, Physical Activity Research Group, CQUniversity, Rockhampton, Queensland, Australia
| | - Mitch J Duncan
- School of Medicine & Public Health, Priority Research Centre for Physical Activity and Nutrition, Faculty of Health and Medicine, University of Newcastle, Callaghan, New South Wales, Australia
| | - A G Schneiders
- School of Health, Medical and Applied Sciences, Central Queensland University, Bundaburg, Queensland, Australia
| | - Corneel Vandelanotte
- School of Health, Medical and Applied Sciences, Appleton Institute, Physical Activity Research Group, CQUniversity, Rockhampton, Queensland, Australia
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Gardner B, Flint S, Rebar AL, Dewitt S, Quail SK, Whall H, Smith L. Is sitting invisible? Exploring how people mentally represent sitting. Int J Behav Nutr Phys Act 2019; 16:85. [PMID: 31606040 PMCID: PMC6790031 DOI: 10.1186/s12966-019-0851-0] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2019] [Accepted: 09/25/2019] [Indexed: 01/14/2023] Open
Abstract
Background Growing evidence suggests that prolonged uninterrupted sitting can be detrimental to health. Much sedentary behaviour research is reliant on self-reports of sitting time, and sitting-reduction interventions often focus on reducing motivation to sit. These approaches assume that people are consciously aware of their sitting time. Drawing on Action Identification Theory, this paper argues that people rarely identify the act of sitting as ‘sitting’ per se, and instead view it as an incidental component of more meaningful and purposeful typically-seated activities. Methods Studies 1 and 2 explored whether people mentioned sitting in written descriptions of actions. Studies 3–5 compared preferences for labelling a typically desk-based activity as ‘sitting’ versus alternative action identities. Studies 6 and 7 used card-sort tasks to indirectly assess the prioritisation of ‘sitting’ relative to other action descriptions when identifying similar actions. Results Participants rarely spontaneously mentioned sitting when describing actions (Studies 1–2), and when assigning action labels to a seated activity, tended to offer descriptions based on higher-order goals and consequences of action, rather than sitting or other procedural elements (Studies 3–5). Participants primarily identified similarities in actions based not on sitting, but on activities performed while seated (e.g. reading; Studies 6–7). Conclusion ‘Sitting’ is a less accessible cognitive representation of seated activities than are representations based on the purpose and implications of seated action. Findings suggest that self-report measures should focus on time spent in seated activities, rather than attempting to measure sitting time via direct recall. From an intervention perspective, findings speak to the importance of targeting behaviours that entail sitting, and of raising awareness of sitting as a potential precursor to attempting to reduce sitting time.
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Affiliation(s)
- Benjamin Gardner
- Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, Guy's Campus, London, SE1 1UL, UK.
| | - Stuart Flint
- Carnegie School of Sport, Leeds Beckett University, Leeds, UK
| | - Amanda L Rebar
- Physical Activity Research Group, Appleton Institute, School of Health, Medical, and Applied Sciences, Central Queensland University, Rockhampton, Australia
| | - Stephen Dewitt
- Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, Guy's Campus, London, SE1 1UL, UK.,Department of Experimental Psychology, Division of Psychology of Language Sciences, University College London, London, UK
| | - Sahana K Quail
- Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, Guy's Campus, London, SE1 1UL, UK
| | - Helen Whall
- Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, Guy's Campus, London, SE1 1UL, UK
| | - Lee Smith
- The Cambridge Centre for Sport and Exercise Sciences, Department of Life Sciences, Anglia Ruskin University, Cambridge, UK
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Al-Mohannadi AS, Sayegh S, Ibrahim I, Salman A, Farooq A. Effect of a pedometer-based walking challenge on increasing physical activity levels amongst hospital workers. ACTA ACUST UNITED AC 2019; 77:40. [PMID: 31572606 PMCID: PMC6757369 DOI: 10.1186/s13690-019-0368-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2018] [Accepted: 08/29/2019] [Indexed: 11/16/2022]
Abstract
Background More than 50% of Qatari adults are physically inactive. The workplace is an excellent environment to implement cost-effective, efficient behavioural physical activity (PA) interventions to increase PA. This study evaluated whether a pedometer-based walking challenge would increase PA levels amongst hospital workers. Methods A pedometer-based workplace walking intervention was implemented in April–August 2017. Amongst 800 recruited full-time hospital workers, a cross-sectional sample of 212 workers completed the online questionnaires Quality of Life Questionnaire, International Physical Activity Questionnaire (IPAQ), and Workforce Sitting Questionnaire. A sub-sample of participants (n = 54) wore a pedometer for 3 months. They recorded their daily step count through an online web platform linked to the pedometer. Another cross-sectional sample (n = 194) in the same target population completed online questionnaires at post intervention. Results The IPAQ assessed physical activity at post-intervention was higher compared to pre-intervention. In a sub-sample (n = 54) that provided pedometer data, workers’ step count during intervention was significantly higher (9270) from pre-intervention (7890) (p = 0.048). Conclusions Although self-reported PA was higher post-intervention, the subsample showed objectively assessed physical activity did not exceed the threshold recommended for optimal health. Therefore, encouraging participation and maintaining motivation amongst workers in a work-based PA programme is challenging.
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Affiliation(s)
- Abdulla S Al-Mohannadi
- 1Exercise is Medicine Department, Aspetar Orthopaedic and Sports Medicine Hospital, Doha, Qatar
| | - Suzan Sayegh
- 1Exercise is Medicine Department, Aspetar Orthopaedic and Sports Medicine Hospital, Doha, Qatar
| | - Izzeldin Ibrahim
- 1Exercise is Medicine Department, Aspetar Orthopaedic and Sports Medicine Hospital, Doha, Qatar
| | - Ahmad Salman
- 2College of Health Sciences, Qatar University, Doha, Qatar
| | - Abdulaziz Farooq
- 3Athlete Health and Performance Research, Aspetar Orthopaedic and Sports Medicine Hospital, Doha, Qatar
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Murawski B, Plotnikoff RC, Rayward AT, Oldmeadow C, Vandelanotte C, Brown WJ, Duncan MJ. Efficacy of an m-Health Physical Activity and Sleep Health Intervention for Adults: A Randomized Waitlist-Controlled Trial. Am J Prev Med 2019; 57:503-514. [PMID: 31542128 DOI: 10.1016/j.amepre.2019.05.009] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2018] [Revised: 05/07/2019] [Accepted: 05/08/2019] [Indexed: 02/06/2023]
Abstract
INTRODUCTION Interventions that improve both physical activity and sleep quality may be more effective in improving overall health. The purpose of the Synergy Study is to test the efficacy of a mobile health combined behavior intervention targeting physical activity and sleep quality. STUDY DESIGN Randomized, waitlist-controlled trial. SETTING/PARTICIPANTS This study had an app-based delivery mode, Australia-wide. The participants were 160 adults who reported insufficient physical activity and poor sleep quality in an eligibility survey. INTERVENTION The intervention was a mobile app providing educational resources, goal setting, self-monitoring, and feedback strategies. It included 12 weeks of personalized support including weekly reports, tool sheets, and prompts. MAIN OUTCOME MEASURES Outcomes were assessed at baseline, 3 months (primary), and 6 months (secondary endpoint). Self-reported minutes of moderate-to-vigorous intensity physical activity and sleep quality were co-primary outcomes. Resistance training; sitting time; sleep hygiene; sleep timing variability; insomnia severity; daytime sleepiness; quality of life; and depression, anxiety, and stress symptoms were secondary outcomes. Data were collected between June 2017 and February 2018 and analyzed in August 2018. RESULTS At 3 months, between-group differences in moderate-to-vigorous intensity physical activity were not statistically significant (p=0.139). Significantly more participants in the intervention group engaged in ≥2 days/week (p=0.004) of resistance training. The intervention group reported better overall sleep quality (p=0.009), subjective sleep quality (p=0.017), sleep onset latency (p=0.013), waketime variability (p=0.018), sleep hygiene (p=0.027), insomnia severity (p=0.002), and lower stress symptoms (p=0.032) relative to waitlist controls. At 6 months, group differences were maintained for sleep hygiene (p=0.048), insomnia severity (p=0.002), and stress symptoms (p=0.006). Differences were observed for bedtime variability (p=0.023), sleepiness (p<0.001), daytime dysfunction (p=0.039), and anxiety symptoms (p=0.003) at 6 months, but not 3 months. CONCLUSIONS This remotely delivered intervention did not produce statistically significant between-group differences in minutes of moderate-to-vigorous intensity physical activity. Significant short-term differences in resistance training and short- and medium-term differences in sleep health in favor of the intervention were observed. TRIAL REGISTRATION This study is registered at anzctr.org.au ACTRN12617000376347.
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Affiliation(s)
- Beatrice Murawski
- Priority Research Centre for Physical Activity and Nutrition, University of Newcastle, Callaghan, New South Wales, Australia; Faculty of Health and Medicine, School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia
| | - Ronald C Plotnikoff
- Priority Research Centre for Physical Activity and Nutrition, University of Newcastle, Callaghan, New South Wales, Australia; Faculty of Education and Arts, School of Education, University of Newcastle, Callaghan, New South Wales, Australia
| | - Anna T Rayward
- Priority Research Centre for Physical Activity and Nutrition, University of Newcastle, Callaghan, New South Wales, Australia; Faculty of Health and Medicine, School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia
| | - Christopher Oldmeadow
- Faculty of Health and Medicine, School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia; Faculty of Health, Center for Clinical Epidemiology and Biostatistics, Callaghan, New South Wales, Australia; Clinical Research Design and Statistics Unit, Hunter Medical Research Institute, New Lambton, New South Wales, Australia
| | - Corneel Vandelanotte
- Physical Activity Research Group, Appleton Institute, Central Queensland University, Rockhampton, Queensland, Australia
| | - Wendy J Brown
- Centre for Research on Exercise, Physical Activity and Health, School of Human Movement and Nutrition Sciences, University of Queensland, St. Lucia, Queensland, Australia
| | - Mitch J Duncan
- Priority Research Centre for Physical Activity and Nutrition, University of Newcastle, Callaghan, New South Wales, Australia; Faculty of Health and Medicine, School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia.
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Resistance training in addition to aerobic activity is associated with lower likelihood of depression and comorbid depression and anxiety symptoms: A cross sectional analysis of Australian women. Prev Med 2019; 126:105773. [PMID: 31323284 DOI: 10.1016/j.ypmed.2019.105773] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2019] [Revised: 06/11/2019] [Accepted: 07/14/2019] [Indexed: 01/08/2023]
Abstract
The mental health benefits of resistance training (RT) alone or beyond those provided by aerobic physical activity (PA) are unclear. This study aimed to determine the association between meeting recommendations for aerobic PA and/or RT, and symptoms of depression and/or anxiety. Participants were Australian female members of the 10,000 Steps project (n = 5180, 50.0 ± 11.5 years). Symptoms of depression and anxiety were determined using the Depression Anxiety Stress Score. Participants were grouped as 'depression only', 'anxiety only', 'co-occurring depression and anxiety' or 'neither depression nor anxiety' based on relevant subscale score (cut-points: depression≥14 points, anxiety≥10 points). The International Physical Activity Questionnaire-Long Form questionnaire was used to determine PA with an additional item to specify RT frequency. Participants were classified as adhering to 'aerobic PA only' (≥150 min PA/week), 'RT only' (RT ≥ 2 days/week), 'aerobic PA + RT' (≥150 min PA/week+RT ≥ 2 days/week), or 'neither aerobic PA nor RT' (<150 min PA/week+RT < 2 days/week). Adjusted relative risk ratios (RRR [95%CI]) were estimated using multinomial logistic regression models. Relative to the 'neither PA nor RT' (n = 2215), the probabilities of 'depression only' (n = 317) and 'co-occurring depression and anxiety' (n = 417) were lower for the 'aerobic PA only' (n = 1590) (RRR = 0.74 [0.56-0.97] and RRR = 0.76 [0.59-0.97] respectively), and 'both PA + RT' (n = 974) groups (RRR = 0.61 [0.43-0.86] and RRR = 0.47 [0.33-0.67] respectively). There were no associations between adhering to one or both recommendations and 'anxiety only' (n = 317), or between 'RT only' (n = 401) and depression and/or anxiety. Prevention and treatment strategies including both aerobic PA and RT may provide additional benefits for depression with or without comorbid anxiety.
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Erickson KI, Grove GA, Burns JM, Hillman CH, Kramer AF, McAuley E, Vidoni ED, Becker JT, Butters MA, Gray K, Huang H, Jakicic JM, Kamboh MI, Kang C, Klunk WE, Lee P, Marsland AL, Mettenburg J, Rogers RJ, Stillman CM, Sutton BP, Szabo-Reed A, Verstynen TD, Watt JC, Weinstein AM, Wollam ME. Investigating Gains in Neurocognition in an Intervention Trial of Exercise (IGNITE): Protocol. Contemp Clin Trials 2019; 85:105832. [PMID: 31465859 PMCID: PMC6815730 DOI: 10.1016/j.cct.2019.105832] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2019] [Revised: 08/16/2019] [Accepted: 08/19/2019] [Indexed: 12/16/2022]
Abstract
Despite the ubiquity of normal age-related cognitive decline there is an absence of effective approaches for improving neurocognitive health. Fortunately, moderate intensity exercise is a promising method for improving brain and cognitive health in late life, but its effectiveness remains a matter of skepticism and debate because of the absence of large, comprehensive, Phase III clinical trials. Here we describe the protocol for such a randomized clinical trial called IGNITE (Investigating Gains in Neurocognition in an Intervention Trial of Exercise), a study capable of more definitively addressing whether exercise influences cognitive and brain health in cognitively normal older adults. We are conducting a 12-month, multi-site, randomized dose-response exercise trial in 639 cognitively normal adults between 65 and 80 years of age. Participants are randomized to (1) a moderate intensity aerobic exercise condition of 150 min/week (N = 213), (2) a moderate intensity aerobic exercise condition at 225 min/week (N = 213), or (3) a light intensity stretching-and-toning control condition for 150 min/week (N = 213). Participants are engaging in 3 days/week of supervised exercise and two more days per week of unsupervised exercise for 12 months. A comprehensive cognitive battery, blood biomarkers and battery of psychosocial questionnaires is assessed at baseline, 6 and 12-months. In addition, brain magnetic resonance imaging, physiological biomarkers, cardiorespiratory fitness, physical function, and positron emission tomography of amyloid deposition are assessed at baseline and at the 12-month follow-up. The results from this trial could transform scientific-based policy and health care recommendations for approaches to improve cognitive function in cognitively normal older adults.
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Affiliation(s)
- Kirk I Erickson
- Department of Psychology, University of Pittsburgh, USA.; Discipline of Exercise Science, College of Science, Health, Engineering and Education, Murdoch University, Australia.
| | | | - Jeffrey M Burns
- Department of Neurology, University of Kansas Medical Center, USA
| | - Charles H Hillman
- Department of Psychology, Northeastern University, USA; Department of Physical Therapy, Movement, & Rehabilitation Sciences, Northeastern University, USA
| | - Arthur F Kramer
- Department of Psychology, Northeastern University, USA; Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana Champaign, USA
| | - Edward McAuley
- Department of Kinesiology and Community Health, University of Illinois at Urbana Champaign, USA
| | - Eric D Vidoni
- Department of Neurology, University of Kansas Medical Center, USA
| | - James T Becker
- Department of Psychology, University of Pittsburgh, USA.; Department of Psychiatry, University of Pittsburgh, USA; Department of Neurology, University of Pittsburgh, USA
| | | | - Katerina Gray
- Department of Psychology, University of Pittsburgh, USA
| | - Haiqing Huang
- Department of Psychology, University of Pittsburgh, USA
| | - John M Jakicic
- Department of Health and Physical Activity, University of Pittsburgh, USA
| | - M Ilyas Kamboh
- Department of Human Genetics, University of Pittsburgh, USA
| | - Chaeryon Kang
- Department of Biostatistics, University of Pittsburgh, USA
| | | | - Phil Lee
- Department of Radiology, University of Kansas Medical Center, USA
| | | | | | - Renee J Rogers
- Department of Health and Physical Activity, University of Pittsburgh, USA
| | | | - Bradley P Sutton
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana Champaign, USA
| | - Amanda Szabo-Reed
- Department of Internal Medicine, University of Kansas Medical Center, USA
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Ojo SO, Bailey DP, Brierley ML, Hewson DJ, Chater AM. Breaking barriers: using the behavior change wheel to develop a tailored intervention to overcome workplace inhibitors to breaking up sitting time. BMC Public Health 2019; 19:1126. [PMID: 31420033 PMCID: PMC6697980 DOI: 10.1186/s12889-019-7468-8] [Citation(s) in RCA: 42] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2019] [Accepted: 08/11/2019] [Indexed: 11/20/2022] Open
Abstract
BACKGROUND The workplace is a prominent domain for excessive sitting. The consequences of increased sitting time include adverse health outcomes such as cardiovascular disease and poor mental wellbeing. There is evidence that breaking up sitting could improve health, however, any such intervention in the workplace would need to be informed by a theoretical evidence-based framework. The aim of this study was to use the Behaviour Change Wheel (BCW) to develop a tailored intervention to break up and reduce workplace sitting in desk-based workers. METHODS The BCW guide was followed for this qualitative, pre-intervention development study. Semi-structured interviews were conducted with 25 office workers (26-59 years, mean age 40.9 [SD = 10.8] years; 68% female) who were purposively recruited from local council offices and a university in the East of England region. The interview questions were developed using the Theoretical Domains Framework (TDF). Transcripts were deductively analysed using the COM-B (Capability, Opportunity, Motivation - Behaviour) model of behaviour. The Behaviour Change Technique Taxonomy Version 1 (BCTv1) was thereafter used to identify possible strategies that could be used to facilitate change in sitting behaviour of office workers in a future intervention. RESULTS Qualitative analysis using COM-B identified that participants felt that they had the physical Capability to break up their sitting time, however, some lacked the psychological Capability in relation to the knowledge of both guidelines for sitting time and the consequences of excess sitting. Social and physical Opportunity was identified as important, such as a supportive organisational culture (social) and the need for environmental resources (physical). Motivation was highlighted as a core target for intervention, both reflective Motivation, such as beliefs about capability and intention and automatic in terms of overcoming habit through reinforcement. Seven intervention functions and three policy categories from the BCW were identified as relevant. Finally, 39 behaviour change techniques (BCTs) were identified as potential active components for an intervention to break up sitting time in the workplace. CONCLUSIONS The TDF, COM-B model and BCW can be successfully applied through a systematic process to understand the drivers of behaviour of office workers to develop a co-created intervention that can be used to break up and decrease sitting in the workplace. Intervention designers should consider the identified BCW factors and BCTs when developing interventions to reduce and break up workplace sitting.
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Affiliation(s)
- Samson O. Ojo
- Institute for Health Research, University Square, University of Bedfordshire, Luton, Bedfordshire LU1 3JU UK
| | - Daniel P. Bailey
- Institute for Sport and Physical Activity Research, School of Sport Science and Physical Activity, University of Bedfordshire, Polhill Avenue, Bedford, Bedfordshire MK41 9EA UK
| | - Marsha L. Brierley
- Institute for Sport and Physical Activity Research, School of Sport Science and Physical Activity, University of Bedfordshire, Polhill Avenue, Bedford, Bedfordshire MK41 9EA UK
| | - David J. Hewson
- Institute for Health Research, University Square, University of Bedfordshire, Luton, Bedfordshire LU1 3JU UK
| | - Angel M. Chater
- Institute for Sport and Physical Activity Research, School of Sport Science and Physical Activity, University of Bedfordshire, Polhill Avenue, Bedford, Bedfordshire MK41 9EA UK
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Validation of Sedentary Behavior Record Instrument as a Measure of Contextual Information of Sedentary Behavior. J Phys Act Health 2019; 16:623-630. [PMID: 31310998 DOI: 10.1123/jpah.2018-0645] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2018] [Revised: 03/14/2019] [Accepted: 04/14/2019] [Indexed: 11/18/2022]
Abstract
BACKGROUND To establish evidence for the validity of the Sedentary Behavior Record (SBR) instrument using a criterion measure through a proxy of direct observation. METHODS A total of 27 study participants (aged ≥18 y; 15 male) participated in this study. Throughout a 4-day measurement period, each participant recorded their sedentary behavior using the SBR in 10-minute blocks every night. During the measurement period, participants also wore wearable Autographer cameras as a proxy for direct observation. Autographer data were aggregated into 10-minute intervals. To establish evidence of validity, contingency (C) and Kappa (K) coefficients were calculated between the SBR and the Autographer data. For C and K, agreements were determined between 2 measures every cell. The coefficient C was compared across domains, types, and time of day, and K was compared across types of day and times of day. RESULTS Overall, the coefficients C and K were acceptable (C = .70) and substantial (K = .64), respectively. Among all domains, the highest C was reported for work-related sitting (C = .87). Values of C ranged from .49 to .91 among all activities; the highest accuracy was for work-related, screen-based sitting. CONCLUSIONS This study suggests that the SBR is an acceptable self-report measure of sedentary behavior in adults.
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Alley SJ, Vandelanotte C, Duncan MJ, Short CE, Maher JP, Schoeppe S, Rebar AL. Should I sit or stand: likelihood of adherence to messages about reducing sitting time. BMC Public Health 2019; 19:871. [PMID: 31269931 PMCID: PMC6610814 DOI: 10.1186/s12889-019-7189-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2019] [Accepted: 06/17/2019] [Indexed: 01/26/2023] Open
Abstract
Background High population levels of sitting is contributing to high rates of chronic health problems. Therefore, the aim of this study was to identify the sitting time messages with the greatest potential to reduce sitting behaviour, as well as identify how this may differ according to demographic, behavioural and psychosocial characteristics. Methods Australian adults (N = 1460) were asked to report the likelihood that they would adhere to seven messages promoting reduced sitting time and two messages promoting increased physical activity (from ‘not at all likely’ to ‘very likely’). Ordinal regression models were used to compare messages on the likelihood of adherence and whether likelihood of adherence differed as a function of demographic, psychosocial and behavioural characteristics. Results Likelihood of adherence was highest for the messages, ‘Stand and take a break from sitting as frequently as you can’ (83% respectively) and ‘Avoid sitting for more than 10 hours during the entire day’ (82%) and was significantly lower for the message, ‘Sit as little as possible on all days of the week’ (46%) compared to all other messages. Conclusions To increase likelihood of adherence messages should be specific, achievable and promote healthy alternatives to sitting (e.g. standing). Messages promoting standing as a healthy alternative to sitting may be more likely to engage people with high sitting behaviour and messages promoting physical activity may be more likely to engage males and retired adults. Electronic supplementary material The online version of this article (10.1186/s12889-019-7189-z) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Stephanie J Alley
- Physical Activity Research Group, Appleton Institute, School of Health, Medical and Applied Sciences, Central Queensland University, Building 7, Bruce Hwy, Rockhampton, QLD, 4701, Australia.
| | - Corneel Vandelanotte
- Physical Activity Research Group, Appleton Institute, School of Health, Medical and Applied Sciences, Central Queensland University, Building 7, Bruce Hwy, Rockhampton, QLD, 4701, Australia
| | - Mitch J Duncan
- School of Medicine & Public Health, Priority Research Centre for Physical Activity and Nutrition, Faculty of Health and Medicine, The University of Newcastle, Callaghan, NSW, Australia
| | - Camille E Short
- School of Psychological Sciences and Melbourne School of Health Sciences, Melbourne University, Melbourne, VIC, Australia
| | - Jaclyn P Maher
- Department of Kinesiology, University of North Carolina, Greensboro, NC, USA
| | - Stephanie Schoeppe
- Physical Activity Research Group, Appleton Institute, School of Health, Medical and Applied Sciences, Central Queensland University, Building 7, Bruce Hwy, Rockhampton, QLD, 4701, Australia
| | - Amanda L Rebar
- Physical Activity Research Group, Appleton Institute, School of Health, Medical and Applied Sciences, Central Queensland University, Building 7, Bruce Hwy, Rockhampton, QLD, 4701, Australia
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Cardiometabolic Effects of a Workplace Cycling Intervention. J Phys Act Health 2019; 16:547-555. [PMID: 31149869 DOI: 10.1123/jpah.2018-0062] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2018] [Revised: 03/13/2019] [Accepted: 03/18/2019] [Indexed: 11/18/2022]
Abstract
BACKGROUND In laboratory settings, cycling workstations improve cardiometabolic risk factors. Our purpose was to quantify risk factors following a cycling intervention in the workplace. METHODS Twenty-one office workers who sat at work ≥6 hours per day underwent baseline physiological measurements (resting blood pressure, blood lipid profile, maximum oxygen consumption [V˙O2max], body composition, and 2-h oral glucose tolerance test). Participants were randomly assigned to a 4-week intervention only group (n = 12) or a delayed intervention group (n = 9) that involved a 4-week control condition before beginning the intervention. During the intervention, participants were instructed to use the cycling device a minimum of 15 minutes per hour, which would result in a total use of ≥2 hours per day during the workday. Following the intervention, physiological measurements were repeated. RESULTS Participants averaged 1.77 (0.48) hours per day of cycling during the intervention with no changes in actigraphy-monitored noncycling physical activity. Four weeks of the workplace intervention increased V˙O2max (2.07 [0.44] to 2.17 [0.44] L·min-1, P < .01); end of V˙O2max test power output (166.3 [42.2] to 176.6 [46.1] W, P < .01); and high-density lipoprotein cholesterol (1.09 [0.17] to 1.17 [0.24] mmol·L-1, P = .04). CONCLUSIONS A stationary cycling device incorporated into a sedentary workplace for 4 weeks improves some cardiometabolic risk factors with no compensatory decrease in noncycling physical activity.
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De Cocker K, Cardon G, Vergeer I, Radtke T, Vandelanotte C. Who Uses Action Planning in a Web-Based Computer-Tailored Intervention to Reduce Workplace Sitting and What do Action Plans Look Like? Analyses of the Start to stand Intervention among Flemish Employees. Appl Psychol Health Well Being 2019; 11:543-561. [PMID: 31215173 DOI: 10.1111/aphw.12167] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
BACKGROUND Action planning plays an important role in many web-based behaviour change interventions. As such, it is important to identify who engages in action planning and what action plans look like. This study examines (1) attributes of users creating an action plan and (2) the content of action plans made during a web-based intervention to reduce workplace sitting. METHODS Users answered "what" (short standing breaks and/or longer periods of standing), "when" (working hours, work breaks, commuting), "where" (workplace, transport mode), and "how" (frequency, duration, implementation intentions) questions. MANOVA and chi-squared tests were conducted to compare those creating an action plan with those who did not. Descriptive statistics were used to examine the content of the action plans. RESULTS Those creating an action plan (n = 236/1,701) were significantly older, more sedentary at work, and more aware of health risks related to excessive sitting compared to those not planning (n = 1,465). The majority planned standing breaks (n = 212) every 30 minutes, and periods of standing (n = 173) for 1 to 2 hours. CONCLUSIONS Future interventions should promote action planning more, especially among younger employees and those with less health-related knowledge about sitting. Action plans were compatible with current sitting messages used in health promotion.
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Affiliation(s)
| | | | - Ineke Vergeer
- University of Southern Queensland, Springfield Central, Australia
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Stanczykiewicz B, Banik A, Knoll N, Keller J, Hohl DH, Rosińczuk J, Luszczynska A. Sedentary behaviors and anxiety among children, adolescents and adults: a systematic review and meta-analysis. BMC Public Health 2019; 19:459. [PMID: 31039760 PMCID: PMC6492316 DOI: 10.1186/s12889-019-6715-3] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2018] [Accepted: 03/27/2019] [Indexed: 01/05/2023] Open
Abstract
Background Although the number of studies examining the relationships between sedentary behaviors (SB) and anxiety is growing, an overarching evidence, taking into account children, adolescents, and adults as well as different types of SB and different categories of anxiety outcomes, is still missing. Thus, this systematic review and meta-analysis aimed at obtaining a comprehensive overview of existing evidence. Methods A search in the following databases: PsycINFO, PsycARTICLES, Academic Search Complete, ERIC, HealthSource: Nursing/Academic Edition and MEDLINE, resulted in k = 31 original studies included in the systematic review (total N = 99,192) and k = 17 (total N = 27,443) included in the meta-analysis. Main inclusion criteria referred to testing the SB--anxiety relationship, the quality score (above the threshold of 65%), and the language of publications (English). The study was following the PRISMA statement and was registered at PROSPERO (CRD42017068517). Results Both the systematic review and meta-analysis indicated that overall average effects were small: higher levels of symptoms of anxiety were associated with higher levels of SB (weighted r = .093, 95% CI [.055, .130], p < .001). Moderator analyses indicated that trends for stronger effects were observed among adults, compared to children/adolescents (p = .085). Conclusions Further longitudinal studies are necessary to elucidate the predictive direction of the anxiety—SB relationship and to clarify whether the effects depend on the type of anxiety indicators. Electronic supplementary material The online version of this article (10.1186/s12889-019-6715-3) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Bartlomiej Stanczykiewicz
- Department of Nervous System Diseases, Wroclaw Medical University, Bartla 5 Street, 51-618, Wroclaw, Poland.
| | - Anna Banik
- Wroclaw Faculty of Psychology, SWPS University of Social Sciences and Humanities, Ostrowskiego 30b Street, 53-238, Wroclaw, Poland
| | - Nina Knoll
- Department of Education and Psychology, Freie Universität Berlin, Habelschwerdter Allee 45, 14195, Berlin, Germany
| | - Jan Keller
- Department of Education and Psychology, Freie Universität Berlin, Habelschwerdter Allee 45, 14195, Berlin, Germany
| | - Diana Hilda Hohl
- Department of Education and Psychology, Freie Universität Berlin, Habelschwerdter Allee 45, 14195, Berlin, Germany
| | - Joanna Rosińczuk
- Department of Nervous System Diseases, Wroclaw Medical University, Bartla 5 Street, 51-618, Wroclaw, Poland
| | - Aleksandra Luszczynska
- Wroclaw Faculty of Psychology, SWPS University of Social Sciences and Humanities, Ostrowskiego 30b Street, 53-238, Wroclaw, Poland. .,Trauma, Health, & Hazards Center, University of Colorado, 1420 Austin Bluffs Pkwy, Colorado Springs, CO, 80918, USA.
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Nooijen CFJ, Blom V, Ekblom Ö, Ekblom MM, Kallings LV. Improving office workers' mental health and cognition: a 3-arm cluster randomized controlled trial targeting physical activity and sedentary behavior in multi-component interventions. BMC Public Health 2019; 19:266. [PMID: 30836957 PMCID: PMC6402109 DOI: 10.1186/s12889-019-6589-4] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2018] [Accepted: 02/25/2019] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND Physically inactive and sedentary lifestyles are negatively related to both mental health and cognition. For office-workers, who spend two-thirds of their workday sitting, it is important to improve these lifestyles. The aim of this study is to assess the effectiveness of multi-component interventions, incorporating individual, environmental and organizational changes, to increase physical activity or reduce sedentary behavior among office-workers in order to improve mental health and cognition. METHODS a 3-arm, clustered randomized controlled trial (RCT) with waiting list control group amongst adult office-workers of two large Swedish companies. Cluster teams will be randomized into 6-month interventions or to a passive waiting list control group which will receive the allocated intervention with a 6-month delay. Two multicomponent interventions will be studied of which one focuses on improving physical activity and the other on reducing sedentary behavior. Both interventions include 5 sessions of motivational counselling. In the physical activity intervention persons also get access to a gym and team leaders will organize lunch walks and encourage to exercise. In the sedentary behavior intervention standing- and walking meetings will be implemented and team leaders will encourage to reduce sitting. The recruitment target is 110 office-workers per arm (330 in total). Measurements will be repeated every 6 months for a total intended duration of 24 months. Proximal main outcomes are physical activity measured with accelerometers and sedentary behavior with inclinometers. Distal outcomes are self-reported mental health and a cognition test battery. Additional outcomes will include cardiovascular fitness, body composition, sleep, self-reported physical activity and sedentary behavior, other health habits, physical health, and working mechanisms from blood samples and questionnaires. DISCUSSION This cluster RCT will contribute to the currently available evidence by comparing the effectiveness of multi-component interventions targeting physical activity or sedentary behavior with the end goal of improving mental health and cognition. This study is strong in its cluster randomized design, numerous objective outcome measures and long-term follow-up. The exact content of the interventions has been defined by combining theory with results from a larger research project as well as having a continuous dialogue with the involved companies. TRIAL REGISTRATION ISRCTN92968402 .
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Affiliation(s)
- Carla F. J. Nooijen
- The Swedish School of Sport and Health Sciences (GIH), Stockholm, Sweden
- The Department of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden
| | - Victoria Blom
- The Swedish School of Sport and Health Sciences (GIH), Stockholm, Sweden
- The Department of Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Örjan Ekblom
- The Swedish School of Sport and Health Sciences (GIH), Stockholm, Sweden
| | - Maria M. Ekblom
- The Swedish School of Sport and Health Sciences (GIH), Stockholm, Sweden
- The Department of Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Lena V. Kallings
- Department of Public Health and Caring Sciences, Family Medicine and Preventive Medicine, Uppsala University, Uppsala, Sweden
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Jelsma JGM, Renaud LR, Huysmans MA, Coffeng JK, Loyen A, van Nassau F, Bosmans JE, Speklé EM, van der Beek AJ, van der Ploeg HP. The Dynamic Work study: study protocol of a cluster randomized controlled trial of an occupational health intervention aimed at reducing sitting time in office workers. BMC Public Health 2019; 19:188. [PMID: 30760231 PMCID: PMC6375177 DOI: 10.1186/s12889-019-6467-0] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2018] [Accepted: 01/22/2019] [Indexed: 02/05/2023] Open
Abstract
Background Large volumes of sitting time have been associated with multiple health risks. To reduce sitting time of office workers working for a Dutch insurance company, the Dynamic Work intervention was developed. The primary objective of this paper is to describe the study protocol of the Dynamic Work study, which aims to evaluate if this multicomponent intervention is (cost-)effective in reducing total sitting time on the short-term (≈3 months) and longer-term (≈12 months) compared to usual practice. Methods/design This two-arm cluster randomized controlled trial will recruit 250 desk-based office workers working at different locations of an insurance company in the Netherlands. After baseline measurements, departments will be matched in pairs and each pair will be randomly assigned to the control or intervention condition. The multicomponent intervention contains organizational (i.e. face to face session with the head of the department), work environmental (i.e. the introduction of sit-stand desks and cycling workstations), and individual elements (i.e. counselling and activity/sitting tracker with a self-help program booklet). The counselling involves two group intervention sessions and four on-site department consultations with an occupational physiotherapist. Sitting time (primary outcome), upright time and step counts will be assessed objectively using the activPAL activity monitor at baseline, short-term (approximately 3 months) and longer-term (12 months). Other outcomes will include: self-reported lifestyle behaviours, anthropometrics, work-related outcomes (i.e. absenteeism, presenteeism, work performance, work-related stress), health-related outcomes (i.e. vitality, musculoskeletal symptoms, need for recovery, quality of life), and costs from both company and societal perspective. The study will include economic and process evaluations. Discussion This study will assess the longer-term (cost-) effectiveness of a multicomponent workplace intervention aimed at reducing sitting time in comparison with usual practice. Furthermore, the process evaluation will provide insights in factors associated with successful implementation of this intervention. Trial registration ClinicalTrials.govNCT03115645; Registered 13 April 2017. Retrospectively registered.
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Affiliation(s)
- Judith G M Jelsma
- Department of Public and Occupational Health, Amsterdam Public Health research institute, Amsterdam UMC, Vrije Universiteit Amsterdam, Van der Boechorststraat 7, 1081BT, Amsterdam, The Netherlands.
| | - Lidewij R Renaud
- Department of Public and Occupational Health, Amsterdam Public Health research institute, Amsterdam UMC, Vrije Universiteit Amsterdam, Van der Boechorststraat 7, 1081BT, Amsterdam, The Netherlands
| | - Maaike A Huysmans
- Department of Public and Occupational Health, Amsterdam Public Health research institute, Amsterdam UMC, Vrije Universiteit Amsterdam, Van der Boechorststraat 7, 1081BT, Amsterdam, The Netherlands
| | - Jennifer K Coffeng
- Department of Public and Occupational Health, Amsterdam Public Health research institute, Amsterdam UMC, Vrije Universiteit Amsterdam, Van der Boechorststraat 7, 1081BT, Amsterdam, The Netherlands
| | - Anne Loyen
- Department of Public and Occupational Health, Amsterdam Public Health research institute, Amsterdam UMC, Vrije Universiteit Amsterdam, Van der Boechorststraat 7, 1081BT, Amsterdam, The Netherlands
| | - Femke van Nassau
- Department of Public and Occupational Health, Amsterdam Public Health research institute, Amsterdam UMC, Vrije Universiteit Amsterdam, Van der Boechorststraat 7, 1081BT, Amsterdam, The Netherlands
| | - Judith E Bosmans
- Department of Health Sciences, Faculty of Earth & Life Sciences, Amsterdam Public Health research institute, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Erwin M Speklé
- Arbo Unie, Occupational Health Service, Utrecht, The Netherlands
| | - Allard J van der Beek
- Department of Public and Occupational Health, Amsterdam Public Health research institute, Amsterdam UMC, Vrije Universiteit Amsterdam, Van der Boechorststraat 7, 1081BT, Amsterdam, The Netherlands
| | - Hidde P van der Ploeg
- Department of Public and Occupational Health, Amsterdam Public Health research institute, Amsterdam UMC, Vrije Universiteit Amsterdam, Van der Boechorststraat 7, 1081BT, Amsterdam, The Netherlands.
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Toledo MJL, Mullane SL, Larouche ML, Rydell SA, Mitchell NR, Pereira MA, Buman MP. Stand and Move at Work sedentary behavior questionnaire: validity and sensitivity to change. Ann Epidemiol 2019; 31:62-68.e1. [PMID: 30718055 DOI: 10.1016/j.annepidem.2019.01.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2018] [Revised: 12/15/2018] [Accepted: 01/05/2019] [Indexed: 02/08/2023]
Abstract
PURPOSE We evaluated the validity and sensitivity to change of a workplace questionnaire to assess sedentary behavior (SB) during and outside work. METHODS Participants wore an activPAL and completed an SB questionnaire at two time points (baseline and 3-month follow-up). Ecological momentary assessments were used to assess workplace location (at desk vs. away from desk). Intraclass correlation coefficients, mean difference, root of mean square error, kappa agreement, and Bland-Altman plots assessed validity. Sensitivity to change after 3 months of intervention was assessed using the standardized effect size. RESULTS Data from 546 participants (age = 45.1 ± 16.4 years, 24.9% males, 72.7% white) were analyzed. Intraclass correlation coefficients ranged from 0.08 to 0.23. SB was overestimated d¯(95%CI)[] by 47.9 (39.2, 56.6) min during work hours but underestimated for both non-work hours and nonworkdays by -38.3 (-47.4, 29.1) and -106.7 (124.0, -89.5) min, respectively. Participants slightly underestimated SB by -3.4 (-12.6, 5.7)% when at their desk but overestimated SB by 2.8 (-2.4, 8.0)% when not at their desk. The questionnaire demonstrated similar standardized effect size (>0.6) to the activPAL for sedentary and standing time. CONCLUSIONS Agreement between the questionnaire and activPAL was on par with other self-report measures. The questionnaire yielded valid estimates of at/away from desk SB and was sensitive to change.
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Affiliation(s)
| | - Sarah L Mullane
- College of Health Solutions, Arizona State University, Phoenix, AZ
| | | | - Sarah A Rydell
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN
| | - Nathan R Mitchell
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN
| | - Mark A Pereira
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN
| | - Matthew P Buman
- College of Health Solutions, Arizona State University, Phoenix, AZ.
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