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James B, Graham EK, Turiano NA, Weston SJ, Čukić I, Wisniewski K, Makkar S, Harrison F. IS HEALTHY NEUROTICISM ASSOCIATED WITH HEALTH BEHAVIORS AND OUTCOMES? A CORDINATED ANALYSIS. Innov Aging 2018. [DOI: 10.1093/geroni/igy023.1390] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Affiliation(s)
- B James
- Rush University, Chicago, Illinois, United States
| | - E K Graham
- Northwestern University, Chicago, IL, USA
| | - N A Turiano
- West Virginia University, Morgantown, WV, USA
| | - S J Weston
- Northwestern University, Chicago IL, USA
| | - I Čukić
- University of Edinburgh, Edinburgh, Scotl
| | - K Wisniewski
- University of Southern California, Los Angeles, CA, USA
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Dall PM, Skelton DA, Dontje ML, Coulter EH, Stewart S, Cox SR, Shaw RJ, Čukić I, Fitzsimons CF, Greig CA, Granat MH, Der G, Deary IJ, Chastin S. Characteristics of a protocol to collect objective physical activity/sedentary behaviour data in a large study: Seniors USP (understanding sedentary patterns). J Meas Phys Behav 2018; 1:26-31. [PMID: 30159548 PMCID: PMC6110380 DOI: 10.1123/jmpb.2017-0004] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
The Seniors USP study measured sedentary behaviour (activPAL3, 9 day wear) in older adults. The measurement protocol had three key characteristics: enabling 24-hour wear (monitor location, waterproofing); minimising data loss (reducing monitor failure, staff training, communication); and quality assurance (removal by researcher, confidence about wear). Two monitors were not returned; 91% (n=700) of returned monitors had 7 valid days of data. Sources of data loss included monitor failure (n=11), exclusion after quality assurance (n=5), early removal for skin irritation (n=8) or procedural errors (n=10). Objective measurement of physical activity and sedentary behaviour in large studies requires decisional trade-offs between data quantity (collecting representative data) and utility (derived outcomes that reflect actual behaviour).
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Affiliation(s)
- P M Dall
- Institute of Applied Health research, School of Health & Life Sciences, Glasgow Caledonian University, Glasgow, UK
| | - D A Skelton
- Institute of Applied Health research, School of Health & Life Sciences, Glasgow Caledonian University, Glasgow, UK
| | - M L Dontje
- Institute of Applied Health research, School of Health & Life Sciences, Glasgow Caledonian University, Glasgow, UK
- School of Population and Global Health, University of Western Australia, Perth, Australia
| | - E H Coulter
- School of Health Sciences, Queen Margaret University, Edinburgh, UK
| | - S Stewart
- Institute of Applied Health research, School of Health & Life Sciences, Glasgow Caledonian University, Glasgow, UK
- MRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, UK
| | - S R Cox
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - R J Shaw
- MRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, UK
| | - I Čukić
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - C F Fitzsimons
- Department of Sport, Physical Education and Health Sciences, University of Edinburgh, Edinburgh, UK
| | - C A Greig
- School of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, Birmingham, UK
| | - M H Granat
- School of Health Sciences, University of Salford, Salford, UK
| | - G Der
- MRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, UK
| | - I J Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Sfm Chastin
- Institute of Applied Health research, School of Health & Life Sciences, Glasgow Caledonian University, Glasgow, UK
- Department of Movement and Sports Sciences, Faculty of Medicine and Health Science, Ghent University, Ghent, Belgium
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Chastin SFM, Dontje ML, Skelton DA, Čukić I, Shaw RJ, Gill JMR, Greig CA, Gale CR, Deary IJ, Der G, Dall PM. Systematic comparative validation of self-report measures of sedentary time against an objective measure of postural sitting (activPAL). Int J Behav Nutr Phys Act 2018; 15:21. [PMID: 29482617 PMCID: PMC5828279 DOI: 10.1186/s12966-018-0652-x] [Citation(s) in RCA: 89] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2017] [Accepted: 02/09/2018] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Sedentary behaviour is a public health concern that requires surveillance and epidemiological research. For such large scale studies, self-report tools are a pragmatic measurement solution. A large number of self-report tools are currently in use, but few have been validated against an objective measure of sedentary time and there is no comparative information between tools to guide choice or to enable comparison between studies. The aim of this study was to provide a systematic comparison, generalisable to all tools, of the validity of self-report measures of sedentary time against a gold standard sedentary time objective monitor. METHODS Cross sectional data from three cohorts (N = 700) were used in this validation study. Eighteen self-report measures of sedentary time, based on the TAxonomy of Self-report SB Tools (TASST) framework, were compared against an objective measure of postural sitting (activPAL) to provide information, generalizable to all existing tools, on agreement and precision using Bland-Altman statistics, on criterion validity using Pearson correlation, and on data loss. RESULTS All self-report measures showed poor accuracy compared with the objective measure of sedentary time, with very wide limits of agreement and poor precision (random error > 2.5 h). Most tools under-reported total sedentary time and demonstrated low correlations with objective data. The type of assessment used by the tool, whether direct, proxy, or a composite measure, influenced the measurement characteristics. Proxy measures (TV time) and single item direct measures using a visual analogue scale to assess the proportion of the day spent sitting, showed the best combination of precision and data loss. The recall period (e.g. previous week) had little influence on measurement characteristics. CONCLUSION Self-report measures of sedentary time result in large bias, poor precision and low correlation with an objective measure of sedentary time. Choice of tool depends on the research context, design and question. Choice can be guided by this systematic comparative validation and, in the case of population surveillance, it recommends to use a visual analog scale and a 7 day recall period. Comparison between studies and improving population estimates of average sedentary time, is possible with the comparative correction factors provided.
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Affiliation(s)
- S F M Chastin
- Institute for Applied Health Research, School of Health and life Science, Glasgow Caledonian University, Cowcaddens Road, Glasgow, G4 0BA, Scotland, UK.
- Department of Movement and Sports Sciences, Faculty of Medicine and Health Science, Ghent University, Ghent, Belgium.
| | - M L Dontje
- Institute for Applied Health Research, School of Health and life Science, Glasgow Caledonian University, Cowcaddens Road, Glasgow, G4 0BA, Scotland, UK
- School of Population and Global Health, University of Western Australia, Perth, Australia
| | - D A Skelton
- Institute for Applied Health Research, School of Health and life Science, Glasgow Caledonian University, Cowcaddens Road, Glasgow, G4 0BA, Scotland, UK
| | - I Čukić
- Centre for Cognitive Ageing & Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - R J Shaw
- MRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, UK
| | - J M R Gill
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - C A Greig
- School of Sport, Exercise and Rehabilitation Sciences and MRC-Arthritis Research UK Centre for Musculoskeletal Ageing and Health, University of Birmingham, Birmingham, UK
| | - C R Gale
- Centre for Cognitive Ageing & Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, UK
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - I J Deary
- Centre for Cognitive Ageing & Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - G Der
- Centre for Cognitive Ageing & Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, UK
- MRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, UK
| | - P M Dall
- Institute for Applied Health Research, School of Health and life Science, Glasgow Caledonian University, Cowcaddens Road, Glasgow, G4 0BA, Scotland, UK
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Shaw R, Čukić I, Deary I, Gale C, Richardson E, Der G. Objective and self-reported neighbourhood risk factors for sedentary behaviour in older adults. Eur J Public Health 2016. [DOI: 10.1093/eurpub/ckw166.030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- R Shaw
- MRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, UK
| | - I Čukić
- MRC Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - I Deary
- MRC Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - C Gale
- MRC Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - E Richardson
- Centre for Research on Environment Society and Health, University of Edinburgh, Edinburgh, UK
| | - G Der
- MRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, UK
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