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Dillon K, Hiemstra M, Mitchell M, Bartmann N, Rollo S, Gardiner PA, Prapavessis H. Validity of the occupational sitting and physical activity questionnaire (OSPAQ) for home-based office workers during the COVID-19 global pandemic: A secondary analysis. APPLIED ERGONOMICS 2021; 97:103551. [PMID: 34403840 PMCID: PMC9746924 DOI: 10.1016/j.apergo.2021.103551] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/25/2021] [Revised: 07/14/2021] [Accepted: 08/06/2021] [Indexed: 05/17/2023]
Abstract
High levels of occupational sitting is an emerging health concern. As working from home has become a common practice as a result of COVID-19, it is imperative to validate an appropriate self-report measure to assess sitting in this setting. This secondary analysis study aimed to validate the occupational sitting and physical activity questionnaire (OSPAQ) against an activPAL4™ in full-time home-based 'office' workers (n = 148; mean age = 44.90). Participants completed a modified version of the OSPAQ and wore an activPAL4™ for a full work week. The findings suggest that the modified OSPAQ has fair levels of validity in terms of correlation for sitting and standing (ρ = 0.35-0.43, all p < 0.05) and agreement (bias = 2-12%) at the group level; however, estimates were poor at an individual level, as suggested by wide limits of agreement (±22-30%). Overall, the OSPAQ showed to be an easily administered and valid questionnaire to measure group level sitting and standing in this sample of adults.
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Affiliation(s)
- Kirsten Dillon
- School of Kinesiology, Faculty of Health Sciences, The University of Western Ontario, London, ON, Canada.
| | - Madison Hiemstra
- School of Kinesiology, Faculty of Health Sciences, The University of Western Ontario, London, ON, Canada
| | - Marc Mitchell
- School of Kinesiology, Faculty of Health Sciences, The University of Western Ontario, London, ON, Canada
| | - Nina Bartmann
- Center for Advanced Hindsight, Duke University, Durham, NC, USA
| | - Scott Rollo
- Healthy Active Living and Obesity Research Group, Children's Hospital of Eastern Ontario Research Institute, Ottawa, ON, K1H 8L1, Canada; School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, ON, K1H 8M5, Canada
| | - Paul A Gardiner
- School of Kinesiology, Faculty of Health Sciences, The University of Western Ontario, London, ON, Canada; School of Health & Wellbeing, Faculty of Health, Engineering and Sciences, University of Southern Queensland, Queensland, Australia
| | - Harry Prapavessis
- School of Kinesiology, Faculty of Health Sciences, The University of Western Ontario, London, ON, Canada
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5
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Okely T, Reilly JJ, Tremblay MS, Kariippanon KE, Draper CE, El Hamdouchi A, Florindo AA, Green JP, Guan H, Katzmarzyk PT, Lubree H, Pham BN, Suesse T, Willumsen J, Basheer M, Calleia R, Chong KH, Cross PL, Nacher M, Smeets L, Taylor E, Abdeta C, Aguilar-Farias N, Baig A, Bayasgalan J, Chan CHS, Chathurangana PWP, Chia M, Ghofranipour F, Ha AS, Hossain MS, Janssen X, Jáuregui A, Katewongsa P, Kim DH, Kim TV, Koh D, Kontsevaya A, Leyna GH, Löf M, Munambah N, Mwase-Vuma T, Nusurupia J, Oluwayomi A, Del Pozo-Cruz B, Del Pozo-Cruz J, Roos E, Shirazi A, Singh P, Staiano A, Suherman A, Tanaka C, Tang HK, Teo WP, Tiongco MM, Tladi D, Turab A, Veldman SLC, Webster EK, Wickramasinghe P, Widyastari DA. Cross-sectional examination of 24-hour movement behaviours among 3- and 4-year-old children in urban and rural settings in low-income, middle-income and high-income countries: the SUNRISE study protocol. BMJ Open 2021; 11:e049267. [PMID: 34697112 PMCID: PMC8547512 DOI: 10.1136/bmjopen-2021-049267] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Accepted: 09/29/2021] [Indexed: 02/05/2023] Open
Abstract
INTRODUCTION 24-hour movement behaviours (physical activity, sedentary behaviour and sleep) during the early years are associated with health and developmental outcomes, prompting the WHO to develop Global guidelines for physical activity, sedentary behaviour and sleep for children under 5 years of age. Prevalence data on 24-hour movement behaviours is lacking, particularly in low-income and middle-income countries (LMICs). This paper describes the development of the SUNRISE International Study of Movement Behaviours in the Early Years protocol, designed to address this gap. METHODS AND ANALYSIS SUNRISE is the first international cross-sectional study that aims to determine the proportion of 3- and 4-year-old children who meet the WHO Global guidelines. The study will assess if proportions differ by gender, urban/rural location and/or socioeconomic status. Executive function, motor skills and adiposity will be assessed and potential correlates of 24-hour movement behaviours examined. Pilot research from 24 countries (14 LMICs) informed the study design and protocol. Data are collected locally by research staff from partnering institutions who are trained throughout the research process. Piloting of all measures to determine protocol acceptability and feasibility was interrupted by COVID-19 but is nearing completion. At the time of publication 41 countries are participating in the SUNRISE study. ETHICS AND DISSEMINATION The SUNRISE protocol has received ethics approved from the University of Wollongong, Australia, and in each country by the applicable ethics committees. Approval is also sought from any relevant government departments or organisations. The results will inform global efforts to prevent childhood obesity and ensure young children reach their health and developmental potential. Findings on the correlates of movement behaviours can guide future interventions to improve the movement behaviours in culturally specific ways. Study findings will be disseminated via publications, conference presentations and may contribute to the development of local guidelines and public health interventions.
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Grants
- 001 World Health Organization
- D43 TW010137 FIC NIH HHS
- U54 GM104940 NIGMS NIH HHS
- Canadian Institutes of Health Research Frederick Banting and Charles Best Canada Graduate Scholarship
- Pham Ngoc Thach University of Medicine, Vietnam
- Global Challenges Program, University of Wollongong, Australia
- Canadian Institutes of Health Research Planning and Dissemination Grant
- The DST-NRF Centre for Excellence in Human Development at the University of Witwatersrand, Johannesburg, South Africa
- Early Start, University of Wollongong, Australia
- Harry Crossley Foundation, South Africa
- Sasakawa Sports Research Grant, Sasakawa Sports Foundation, Japan
- WHO European Office for Prevention and Control of Noncommunicable Diseases
- The University Research Coordination Office of the De La Salle University, Philippines
- Civilian Research Development Foundation (CRDF) Global
- Department of National Planning and Monitoring, PNG Government
- Stella de Silva Research grant from Sri Lanka College of Paediatricians, Sri Lanka
- Faculty of Health Sciences at the University of the Witwatersrand, Johannesburg, South Africa
- The International Society of Behavioral Nutrition and Physical Activity, Pioneers Program
- Biomedical Research Foundation, Dhaka, Bangladesh
- Universidad de La Frontera Research Directorate, Chile
- Fogarty International Center (FIC) of the National Institutes of Health
- Beijing Health System High Level Talents Training Project, China
- Geran Universiti Penyelidikan (GUP), Universiti Kebangsaan Malaysia
- American Council on Exercise, USA
- National Institute of Education-Ministry of Education, Singapore
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Affiliation(s)
- Tony Okely
- Early Start, School of Health and Society, Faculty of the Arts, Social Sciences and Humanities, University of Wollongong, Wollongong, New South Wales, Australia
| | - John J Reilly
- Physical Activity for Health, University of Strathclyde, Glasgow, UK
| | - Mark S Tremblay
- Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada
| | - Katharina E Kariippanon
- Early Start, School of Health and Society, Faculty of the Arts, Social Sciences and Humanities, University of Wollongong, Wollongong, New South Wales, Australia
| | - Catherine E Draper
- MRC-Wits DPHRU, University of the Witwatersrand, Johannesburg-Braamfontein, South Africa
| | - Asmaa El Hamdouchi
- Unité Mixte de Recherche Nutrition et Alimentation, Regional Designated Center of Nutrition Associated with AFRA/IAEA, CNESTEN-Université Ibn Tofail URAC39, Rabat, Morocco
| | - Alex A Florindo
- Universidade de Sao Paulo Escola de Artes Ciencias e Humanidades, Sao Paulo, Brazil
| | - Janette P Green
- Faculty of Business and Law, Australian Health Services Research Institute, University of Wollongong, Wollongong, New South Wales, Australia
| | - Hongyan Guan
- Department of Early Childhood Development, Beijing Municipal Key Laboratory of Child Development and Nutriomics, Capital Institute of Pediatrics, Beijing, China
| | | | - Himangi Lubree
- Vadu Rural Health Program, KEM Hospital Pune Research Centre, Pune, India
| | - Bang Nguyen Pham
- Population Health and Demography Unit, PNG Institute of Medical Research, Goroka, Papua New Guinea
| | - Thomas Suesse
- National Institute for Applied Statistics Research Australia, School of Mathematics and Applied Statistics, Faculty of Engineering and Information Sciences, University of Wollongong, Wollongong, New South Wales, Australia
| | - Juana Willumsen
- Department for Prevention of Non-Communicable Diseases, WHO, Geneve, Switzerland
| | - Mohamed Basheer
- Early Start, Faculty of the Arts, Social Sciences and Humanities, University of Wollongong, Wollongong, New South Wales, Australia
| | - Rebecca Calleia
- Early Start, Faculty of the Arts, Social Sciences and Humanities, University of Wollongong, Wollongong, New South Wales, Australia
| | - Kar Hau Chong
- Early Start, Faculty of the Arts, Social Sciences and Humanities, University of Wollongong, Wollongong, New South Wales, Australia
| | - Penny L Cross
- Early Start, Faculty of the Arts, Social Sciences and Humanities, University of Wollongong, Wollongong, New South Wales, Australia
| | - Maria Nacher
- Early Start, Faculty of the Arts, Social Sciences and Humanities, University of Wollongong, Wollongong, New South Wales, Australia
| | - Laura Smeets
- Early Start, Faculty of the Arts, Social Sciences and Humanities, University of Wollongong, Wollongong, New South Wales, Australia
| | - Ellie Taylor
- Early Start, Faculty of the Arts, Social Sciences and Humanities, University of Wollongong, Wollongong, New South Wales, Australia
| | | | - Nicolas Aguilar-Farias
- Department of Physical Education, Sports and Recreation, Universidad de La Frontera, Temuco, Chile
| | - Aqsa Baig
- Precision Health Consultants (PHC Global), Karachi, Pakistan
| | - Jambaldori Bayasgalan
- National Centre for Public Health, Mongolia Ministry of Health, Ulaanbaatar, Mongolia
| | - Cecilia H S Chan
- Department of Sports Science and Physical Education, Faculty of Education, The Chinese University of Hong Kong, Hong Kong, Hong Kong
| | | | - Michael Chia
- National Institute of Education, Nanyang Technological University, Singapore
| | | | - Amy S Ha
- Department of Sports Science and Physical Education, The Chinese University of Hong Kong, Hong Kong, Hong Kong
| | | | - Xanne Janssen
- School of Psychological Sciences and Health, University of Strathclyde, Glasgow, UK
| | - Alejandra Jáuregui
- Department of Physical Activity and Healthy Lifestyles, Center for Nutrition and Health Research, National Institute of Public Health, Cuernavaca, Mexico
| | - Piyawat Katewongsa
- Thailand Physical Activity Knowledge Development Centre, Institute for Population and Social Research, Mahidol University, Salaya, Thailand
| | - Dong Hoon Kim
- Korea Institute of Child Care and Education, Seoul, Republic of Korea
| | - Thanh Van Kim
- Department of Epidemiology, Faculty of Public Health, Pham Ngoc Thach University of Medicine, Ho Chi Minh City, Viet Nam
| | - Denise Koh
- Centre of Community Education and Well-being, Faculty of Education, Universiti Kebangsaan Malaysia, Bangi, Malaysia
| | - Anna Kontsevaya
- National Medical Research Centre for Therapy and Preventive Medicine, Moscow, Russia
| | | | - M Löf
- Department of Health, Medicine och Caring Sciences, Linköping University, Linkoping, Sweden
- Department of Biosciences and Nutrition, Karolinska Institute, Stockholm, Sweden
| | - Nyaradzai Munambah
- Rehabilitation Sciences Unit, Faculty of Medicine and Health Sciences, University of Zimbabwe, Harare, Zimbabwe
| | | | | | - Aoko Oluwayomi
- Human Kinetics and Health Education, University of Lagos, Akoka, Nigeria
| | - Borja Del Pozo-Cruz
- Department of Sport Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
| | | | - Eva Roos
- Folkhalsen Research Centre, Helsinki, Finland
- Department of Food and Environmental Sciences, University of Helsinki, Helsinki, Finland
| | - Asima Shirazi
- Faculty of Business, University of Wollongong, Dubai, UAE
| | - Pragya Singh
- School of Public Health and Primary Care, CMNHS, Fiji National University, Nasinu, Fiji
| | - Amanda Staiano
- Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
| | - Adang Suherman
- Faculty of Sport and Health Education, Universitas Pendidikan Indonesia, Bandung, Indonesia
| | - Chiaki Tanaka
- College of Health and Welfare, J F Oberlin University, Machida, Japan
| | - Hong Kim Tang
- Pham Ngoc Thach University of Medicine, Ho Chi Minh City, Viet Nam
| | - Wei-Peng Teo
- National Institute of Education, Nanyang Technological University, Singapore
| | | | - Dawn Tladi
- Department of Sport Science, Faculty of Education, University of Botswana, Gaborone, Botswana
| | - Ali Turab
- Precision Health Consultants (PHC Global), Karachi, Pakistan
| | - Sanne L C Veldman
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - E Kipling Webster
- Institute of Public and Preventive Health, Augusta University, Augusta, Georgia, USA
| | | | - Dyah Anantalia Widyastari
- Thailand Physical Activity Knowledge Development Centre, Institute for Population and Social Research, Mahidol University, Salaya, Thailand
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Motuma A, Gobena T, Roba KT, Berhane Y, Worku A. Sedentary Behavior and Associated Factors Among Working Adults in Eastern Ethiopia. Front Public Health 2021; 9:693176. [PMID: 34557467 PMCID: PMC8452899 DOI: 10.3389/fpubh.2021.693176] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2021] [Accepted: 08/03/2021] [Indexed: 12/05/2022] Open
Abstract
Background: Sedentary behavior is a major risk factor for non-communicable diseases. Due to changes in lifestyle, sedentary behavior is increasing in sub-Saharan Africa. However, information on the extent of sedentarism among various segments of the population is scant in low-income countries. The objective of this study was to assess the extent of high sedentary behavior and associated factors among working adults in eastern Ethiopia. Methods: A crosssectional study was conducted among 1,164 working adults at Haramaya University from December 2018 to February 2019. Data were collected through face-to-face interviews using the WHO STEPS and sedentary behavior questionnaire. All reported sedentary activities were added to calculate the total number of hours spent on sedentary behavior, which was then dichotomized into two categories. Those who had ≥8 sedentary hours per day were categorized as having high sedentary behavior. The prevalence ratio (PR) with 95% confidence intervals (CIs) was calculated. Factors associated with outcome variables were identified using Poisson regression with a robust variance statistical model. Results: The prevalence of high sedentary behavior was 20.3% (95% CI, 18.0–22.7%) among the study participants. The prevalence of high sedentary behavior was associated with age 45–54 years adjusted PR (APR: 2.00; 95% CI = 1.01–3.97) and 55–64 years (APR: 2.16; 95% CI = 1.03–4.57), being a non-manual worker (APR: 2.11; 95% CI = 1.46–3.05), frequent khat chewers (APR: 1.57; 95% CI = 1.22–2.01), with body mass index of ≥25 kg/m2 (APR: 1.93; 95% CI = 1.53–2.44), and regular alcohol drinker (APR: 1.39; 95% CI = 1.11–1.76). Conclusion: One-fifth of working adults had high sedentary behavior. Factors associated with high sedentary behaviors were older age, being a non-manual worker, substance-use behaviors, and having a high body mass index.
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Affiliation(s)
- Aboma Motuma
- School of Nursing and Midwifery, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia
| | - Tesfaye Gobena
- Department of Environmental Health Science, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia
| | - Kedir Teji Roba
- School of Nursing and Midwifery, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia
| | - Yemane Berhane
- Department of Epidemiology and Biostatics, Addis Continental Institute of Public Health, Addis Ababa, Ethiopia
| | - Alemayehu Worku
- Department of Epidemiology and Biostatistics, School of Public Health, Addis Ababa University, Addis Ababa, Ethiopia
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7
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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: 239] [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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