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6. 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

Author

Daley, Amanda J., Griffin, Ryan A., Moakes, Catherine A., Sanders, James P., Skrybant, Magdalena, Ives, Natalie, Maylor, Ben, Greenfield, Sheila M., Gokal, Kajal, Parretti, Helen M., Biddle, Stuart J. H., Greaves, Colin, Maddison, Ralph, Mutrie, Nanette, Esliger, Dale W., Sherar, Lauren, Edwardson, Charlotte L., Yates, Tom, Frew, Emma, Tearne, Sarah, and Jolly, Kate

Published
2023
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8. Physical Activity Volume, Intensity, and Mortality: Harmonized Meta-Analysis of Prospective Cohort Studies

Author

Tarp, Jakob, Dalene, Knut E., Fagerland, Morten W., Steene-Johannesen, Jostein, Hansen, Bjørge H., Anderssen, Sigmund A., Hagströmer, Maria, Dohrn, Ing-Mari, Dempsey, Paddy C., Wijndaele, Katrien, Brage, Søren, Nordström, Anna, Nordström, Peter, Diaz, Keith M., Howard, Virginia J., Hooker, Steven P., Morseth, Bente, Hopstock, Laila A., Sagelv, Edvard H., Yates, Thomas, Edwardson, Charlotte L., Lee, I-Min, and Ekelund, Ulf

Published
2024
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10. Comparability of Postural and Physical Activity Metrics from Different Accelerometer Brands Worn on the Thigh: Data Harmonization Possibilities

Author

Edwardson, Charlotte L., Maylor, Benjamin D., Dawkins, Nathan P., Plekhanova, Tatiana, and Rowlands, Alex V.

Abstract

The aim was to establish which postural and physical activity outcomes are comparable across different accelerometer brands worn on the thigh when processed using open-source methods. Twenty participants wore four accelerometers (Axivity, ActiGraph, activPAL, GENEActiv) for three free-living days. Postural and physical activity outputs (average acceleration, intensity gradient, intensity of the most active 30 min, 60 min, and 8 h) were generated. "Postural outputs": Mean absolute percent errors (MAPEs) were low, reliability excellent, and equivalency within the 5% zone across all monitor pairings for sitting/lying and upright times, but not specific lying postures. "Physical activity outputs": MAPEs were higher and reliability lower than for sitting/lying and upright time. However, the majority of the outcomes were within the 10% equivalency zone for Axivity/GENEActiv and Axivity/ActiGraph pairings. Total sitting/lying and upright times show strong potential for harmonization across studies utilizing different thigh-worn accelerometers. The majority of acceleration outcomes compare well for Axivity, GENEActiv, and ActiGraph.

Published
2022
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11. Effects of sleep disturbance on dyspnoea and impaired lung function following hospital admission due to COVID-19 in the UK: a prospective multicentre cohort study

Author

Jackson, C, Stewart, I D, Plekhanova, T, Cunningham, P S, Hazel, A L, Al-Sheklly, B, Aul, R, Bolton, C E, Chalder, T, Chalmers, J D, Chaudhuri, N, Docherty, A B, Donaldson, G, Edwardson, C L, Elneima, O, Greening, N J, Hanley, N A, Harris, V C, Harrison, E M, Ho, L-P, Houchen-Wolloff, L, Howard, L S, Jolley, C J, Jones, M G, Leavy, O C, Lewis, K E, Lone, N I, Marks, M, McAuley, H J C, McNarry, M A, Patel, B, Piper-Hanley, K, Poinasamy, K, Raman, B, Richardson, M, Rivera-Ortega, P, Rowland-Jones, S L, Rowlands, A V, Saunders, R M, Scott, J T, Sereno, M, Shah, A M, Shikotra, A, Singapuri, A, Stanel, S C, Thorpe, M, Wootton, D G, Yates, T, Jenkins, G, Singh, S J, Man, W D-C, Brightling, C E, Wain, L V, Porter, J C, Thompson, R, Horsley, A, Molyneaux, P L, Evans, R A, Jones, S E, Rutter, M K, Blaikley, J F, Abel, K, Adamali, H, Adeloye, D, Adeyemi, O, Adrego, R, Aguilar Jimenez, L A, Ahmad, S, Ahmad Haider, N, Ahmed, R, Ahwireng, N, Ainsworth, M, Alamoudi, A, Ali, M, Aljaroof, M, All, AM, Allan, L, Allen, R J, Allerton, L, Allsop, L, Almeida, P, Altmann, D, Alvarez Corral, M, Amoils, S, Anderson, D, Antoniades, C, Arbane, G, Arias, A, Armour, C, Armstrong, L, Armstrong, N, Arnold, D, Arnold, H, Ashish, A, Ashworth, A, Ashworth, M, Aslani, S, Assefa-Kebede, H, Atkin, C, Atkin, P, Aung, H, Austin, L, Avram, C, Ayoub, A, Babores, M, Baggott, R, Bagshaw, J, Baguley, D, Bailey, L, Baillie, J K, Bain, S, Bakali, M, Bakau, M, Baldry, E, Baldwin, D, Baldwin, M, Ballard, C, Banerjee, A, Bang, B, Barker, R E, Barman, L, Barratt, S, Barrett, F, Basire, D, Basu, N, Bates, M, Bates, A, Batterham, R, Baxendale, H, Bayes, H, Beadsworth, M, Beckett, P, Beggs, M, Begum, M, Beirne, P, Bell, D, Bell, R, Bennett, K, Beranova, E, Bermperi, A, Berridge, A, Berry, C, Betts, S, Bevan, E, Bhui, K, Bingham, M, Birchall, K, Bishop, L, Bisnauthsing, K, Blaikely, J, Bloss, A, Bolger, A, Bonnington, J, Botkai, A, Bourne, C, Bourne, M, Bramham, K, Brear, L, Breen, G, Breeze, J, Briggs, A, Bright, E, Brill, S, Brindle, K, Broad, L, Broadley, A, Brookes, C, Broome, M, Brown, A, Brown, J, Brown, J S, Brown, M, Brown, V, Brugha, T, Brunskill, N, Buch, M, Buckley, P, Bularga, A, Bullmore, E, Burden, L, Burdett, T, Burn, D, Burns, G, Burns, A, Busby, J, Butcher, R, Butt, A, Byrne, S, Cairns, P, Calder, P C, Calvelo, E, Carborn, H, Card, B, Carr, C, Carr, L, Carson, G, Carter, P, Casey, A, Cassar, M, Cavanagh, J, Chablani, M, Chambers, R C, Chan, F, Channon, K M, Chapman, K, Charalambou, A, Checkley, A, Chen, J, Cheng, Y, Chetham, L, Childs, C, Chilvers, E R, Chinoy, H, Chiribiri, A, Chong-James, K, Choudhury, G, Choudhury, N, Chowienczyk, P, Christie, C, Chrystal, M, Clark, D, Clark, C, Clarke, J, Clohisey, S, Coakley, G, Coburn, Z, Coetzee, S, Cole, J, Coleman, C, Conneh, F, Connell, D, Connolly, B, Connor, L, Cook, A, Cooper, B, Cooper, J, Cooper, S, Copeland, D, Cosier, T, Coulding, M, Coupland, C, Cox, E, Craig, T, Crisp, P, Cristiano, D, Crooks, M G, Cross, A, Cruz, I, Cullinan, P, Cuthbertson, D, Daines, L, Dalton, M, Daly, P, Daniels, A, Dark, P, Dasgin, J, David, A, David, C, Davies, E, Davies, F, Davies, G, Davies, G A, Davies, K, Davies, M J, Dawson, J, Daynes, E, De Soyza, A, Deakin, B, Deans, A, Deas, C, Deery, J, Defres, S, Dell, A, Dempsey, K, Denneny, E, Dennis, J, Dewar, A, Dharmagunawardena, R, Diar-Bakerly, N, Dickens, C, Dipper, A, Diver, S, Diwanji, S N, Dixon, M, Djukanovic, R, Dobson, H, Dobson, S L, Donaldson, A, Dong, T, Dormand, N, Dougherty, A, Dowling, R, Drain, S, Draxlbauer, K, Drury, K, Dulawan, P, Dunleavy, A, Dunn, S, Dupont, C, Earley, J, Easom, N, Echevarria, C, Edwards, S, Edwardson, C, El-Taweel, H, Elliott, A, Elliott, K, Ellis, Y, Elmer, A, Evans, D, Evans, H, Evans, J, Evans, R, Evans, R I, Evans, T, Evenden, C, Evison, L, Fabbri, L, Fairbairn, S, Fairman, A, Fallon, K, Faluyi, D, Favager, C, Fayzan, T, Featherstone, J, Felton, T, Finch, J, Finney, S, Finnigan, J, Finnigan, L, Fisher, H, Fletcher, S, Flockton, R, Flynn, M, Foot, H, Foote, D, Ford, A, Forton, D, Fraile, E, Francis, C, Francis, R, Francis, S, Frankel, A, Fraser, E, Free, R, French, N, Fu, X, Fuld, J, Furniss, J, Garner, L, Gautam, N, Geddes, J R, George, J, George, P M, Gibbons, M, Gill, M, Gilmour, L, Gleeson, F, Glossop, J, Glover, S, Goodman, N, Goodwin, C, Gooptu, B, Gordon, H, Gorsuch, T, Greatorex, M, Greenhaff, P L, Greenhalf, W, Greenhalgh, A, Greenwood, J, Gregory, H, Gregory, R, Grieve, D, Griffin, D, Griffiths, L, Guerdette, A-M, Guillen Guio, B, Gummadi, M, Gupta, A, Gurram, S, Guthrie, E, Guy, Z, Henson, H, Hadley, K, Haggar, A, Hainey, K, Hairsine, B, Haldar, P, Hall, I, Hall, L, Halling-Brown, M, Hamil, R, Hancock, A, Hancock, K, Haq, S, Hardwick, H E, Hardy, E, Hardy, T, Hargadon, B, Harrington, K, Harris, E, Harrison, P, Hart, N, Harvey, A, Harvey, M, Harvie, M, Haslam, L, Havinden-Williams, M, Hawkes, J, Hawkings, N, Haworth, J, Hayday, A, Haynes, M, Hazeldine, J, Hazelton, T, Heaney, L G, Heeley, C, Heeney, J L, Heightman, M, Heller, S, Henderson, M, Hesselden, L, Hewitt, M, Highett, V, Hillman, T, Hiwot, T, Hoare, A, Hoare, M, Hockridge, J, Hogarth, P, Holbourn, A, Holden, S, Holdsworth, L, Holgate, D, Holland, M, Holloway, L, Holmes, K, Holmes, M, Holroyd-Hind, B, Holt, L, Hormis, A, Hosseini, A, Hotopf, M, Howard, K, Howell, A, Hufton, E, Hughes, A D, Hughes, J, Hughes, R, Humphries, A, Huneke, N, Hurditch, E, Hurst, J, Husain, M, Hussell, T, Hutchinson, J, Ibrahim, W, Ilyas, F, Ingham, J, Ingram, L, Ionita, D, Isaacs, K, Ismail, K, Jackson, T, Jacob, J, James, W Y, Jang, W, Jarman, C, Jarrold, I, Jarvis, H, Jastrub, R, Jayaraman, B, Jenkins, R G, Jezzard, P, Jiwa, K, Johnson, C, Johnson, S, Johnston, D, Jones, D, Jones, G, Jones, H, Jones, I, Jones, L, Jones, S, Jose, S, Kabir, T, Kaltsakas, G, Kamwa, V, Kanellakis, N, Kaprowska, S, Kausar, Z, Keenan, N, Kelly, S, Kemp, G, Kerr, S, Kerslake, H, Key, A L, Khan, F, Khunti, K, Kilroy, S, King, B, King, C, Kingham, L, Kirk, J, Kitterick, P, Klenerman, P, Knibbs, L, Knight, S, Knighton, A, Kon, O, Kon, S, Kon, S S, Koprowska, S, Korszun, A, Koychev, I, Kurasz, C, Kurupati, P, Laing, C, Lamlum, H, Landers, G, Langenberg, C, Lasserson, D, Lavelle-Langham, L, Lawrie, A, Lawson, C, Layton, A, Lea, A, Lee, D, Lee, J-H, Lee, E, Leitch, K, Lenagh, R, Lewis, D, Lewis, J, Lewis, V, Lewis-Burke, N, Li, X, Light, T, Lightstone, L, Lilaonitkul, W, Lim, L, Linford, S, Lingford-Hughes, A, Lipman, M, Liyanage, K, Lloyd, A, Logan, S, Lomas, D, Loosley, R, Lord, J M, Lota, H, Lovegrove, W, Lucey, A, Lukaschuk, E, Lye, A, Lynch, C, MacDonald, S, MacGowan, G, Macharia, I, Mackie, J, Macliver, L, Madathil, S, Madzamba, G, Magee, N, Magtoto, M M, Mairs, N, Majeed, N, Major, E, Malein, F, Malim, M, Mallison, G, Mandal, S, Mangion, K, Manisty, C, Manley, R, March, K, Marciniak, S, Marino, P, Mariveles, M, Marouzet, E, Marsh, S, Marshall, B, Marshall, M, Martin, J, Martineau, A, Martinez, L M, Maskell, N, Matila, D, Matimba-Mupaya, W, Matthews, L, Mbuyisa, A, McAdoo, S, McAllister-Williams, H, McArdle, A, McArdle, P, McAulay, D, McCann, G P, McCormick, J, McCormick, W, McCourt, P, McGarvey, L, McGhee, C, Mcgee, K, McGinness, J, McGlynn, K, McGovern, A, McGuinness, H, McInnes, I B, McIntosh, J, McIvor, E, McIvor, K, McLeavey, L, McMahon, A, McMahon, M J, McMorrow, L, Mcnally, T, McNarry, M, McNeill, J, McQueen, A, McShane, H, Mears, C, Megson, C, Megson, S, Mehta, P, Meiring, J, Melling, L, Mencias, M, Menzies, D, Merida Morillas, M, Michael, A, Miller, C, Milligan, L, Mills, C, Mills, G, Mills, N L, Milner, L, Misra, S, Mitchell, J, Mohamed, A, Mohamed, N, Mohammed, S, Monteiro, W, Moriera, S, Morley, A, Morrison, L, Morriss, R, Morrow, A, Moss, A J, Moss, P, Motohashi, K, Msimanga, N, Mukaetova-Ladinska, E, Munawar, U, Murira, J, Nanda, U, Nassa, H, Nasseri, M, Neal, A, Needham, R, Neill, P, Neubauer, S, Newby, D E, Newell, H, Newman, T, Newman, J, Newton-Cox, A, Nicholson, T, Nicoll, D, Nikolaidis, A, Nolan, C M, Noonan, M J, Norman, C, Novotny, P, Nunag, J, Nwafor, L, Nwanguma, U, Nyaboko, J, O'Brien, C, O'Donnell, K, O'Regan, D, O'Brien, L, Odell, N, Ogg, G, Olaosebikan, O, Oliver, C, Omar, Z, Openshaw, P J M, Orriss-Dib, L, Osborne, L, Osbourne, R, Ostermann, M, Overton, C, Owen, J, Oxton, J, Pack, J, Pacpaco, E, Paddick, S, Painter, S, Pakzad, A, Palmer, S, Papineni, P, Paques, K, Paradowski, K, Pareek, M, Parekh, D, Parfrey, H, Pariante, C, Parker, S, Parkes, M, Parmar, J, Patale, S, Patel, M, Patel, S, Pattenadk, D, Pavlides, M, Payne, S, Pearce, L, Pearl, J E, Peckham, D, Pendlebury, J, Peng, Y, Pennington, C, Peralta, I, Perkins, E, Peterkin, Z, Peto, T, Petousi, N, Petrie, J, Pfeffer, P, Phipps, J, Pimm, J, Pius, R, Plant, H, Plein, S, Plowright, M, Polgar, O, Poll, L, Porter, J, Portukhay, S, Powell, N, Prabhu, A, Pratt, J, Price, A, Price, C, Price, D, Price, L, Prickett, A, Propescu, J, Prosper, S, Pugmire, S, Quaid, S, Quigley, J, Quint, J, Qureshi, H, Qureshi, I N, Radhakrishnan, K, Rahman, N M, Ralser, M, Ramos, A, Ramos, H, Rangeley, J, Rangelov, B, Ratcliffe, L, Ravencroft, P, Reddington, A, Reddy, R, Reddy, A, Redfearn, H, Redwood, D, Reed, A, Rees, M, Rees, T, Regan, K, Reynolds, W, Ribeiro, C, Richards, A, Richardson, E, Roberts, K, Robertson, E, Robinson, E, Robinson, L, Roche, L, Roddis, C, Rodger, J, Ross, A, Ross, G, Rossdale, J, Rostron, A, Rowe, A, Rowland, A, Rowland, J, Rowland, M J, Roy, K, Roy, M, Rudan, I, Russell, R, Russell, E, Saalmink, G, Sabit, R, Sage, E K, Samakomva, T, Samani, N, Sampson, C, Samuel, K, Samuel, R, Sanderson, A, Sapey, E, Saralaya, D, Sargent, J, Sarginson, C, Sass, T, Sattar, N, Saunders, K, Saunders, P, Saunders, L C, Savill, H, Saxon, W, Sayer, A, Schronce, J, Schwaeble, W, Scott, K, Selby, N, Semple, M G, Sewell, T A, Shah, K, Shah, P, Shankar-Hari, M, Sharma, M, Sharpe, C, Sharpe, M, Shashaa, S, Shaw, A, Shaw, K, Shaw, V, Sheikh, A, Shelton, S, Shenton, L, Shevket, K, Short, J, Siddique, S, Siddiqui, S, Sidebottom, J, Sigfrid, L, Simons, G, Simpson, J, Simpson, N, Singh, C, Sissons, D, Skeemer, J, Slack, K, Smith, A, Smith, D, Smith, S, Smith, J, Smith, L, Soares, M, Solano, T S, Solly, R, Solstice, A R, Soulsby, T, Southern, D, Sowter, D, Spears, M, Spencer, L G, Speranza, F, Stadon, L, Stanel, S, Steele, N, Steiner, M, Stensel, D, Stephens, G, Stephenson, L, Stern, M, Stimpson, R, Stockdale, S, Stockley, J, Stoker, W, Stone, R, Storrar, W, Storrie, A, Storton, K, Stringer, E, Strong-Sheldrake, S, Stroud, N, Subbe, C, Sudlow, C L, Suleiman, Z, Summers, C, Summersgill, C, Sutherland, D, Sykes, D L, Sykes, R, Talbot, N, Tan, A L, Tarusan, L, Tavoukjian, V, Taylor, A, Taylor, C, Taylor, J, Te, A, Tedd, H, Tee, C J, Teixeira, J, Tench, H, Terry, S, Thackray-Nocera, S, Thaivalappil, F, Thamu, B, Thickett, D, Thomas, C, Thomas, D C, Thomas, S, Thomas, A K, Thomas-Woods, T, Thompson, T, Thompson, A A R, Thornton, T, Thwaites, R S, Tilley, J, Tinker, N, Tiongson, G F, Tobin, M, Tomlinson, J, Tong, C, Toshner, M, Touyz, R, Tripp, K A, Tunnicliffe, E, Turnbull, A, Turner, E, Turner, S, Turner, V, Turner, K, Turney, S, Turtle, L, Turton, H, Ugoji, J, Ugwuoke, R, Upthegrove, R, Valabhji, J, Ventura, M, Vere, J, Vickers, C, Vinson, B, Wade, E, Wade, P, Wainwright, T, Wajero, L O, Walder, S, Walker, S, Wall, E, Wallis, T, Walmsley, S, Walsh, J A, Walsh, S, Warburton, L, Ward, T J C, Warwick, K, Wassall, H, Waterson, S, Watson, E, Watson, L, Watson, J, Weir McCall, J, Welch, C, Welch, H, Welsh, B, Wessely, S, West, S, Weston, H, Wheeler, H, White, S, Whitehead, V, Whitney, J, Whittaker, S, Whittam, B, Whitworth, V, Wight, A, Wild, J M, Wilkins, M, Wilkinson, D, Williams, B, Williams, N, Williams, J, Williams-Howard, S A, Willicombe, M, Willis, G, Willoughby, J, Wilson, A, Wilson, D, Wilson, I, Window, N, Witham, M, Wolf-Roberts, R, Wood, C, Woodhead, F, Woods, J, Wormleighton, J, Worsley, J, Wraith, D, Wrey Brown, C, Wright, C, Wright, L, Wright, S, Wyles, J, Wynter, I, Xu, M, Yasmin, N, Yasmin, S, Yip, K P, Young, B, Young, S, Young, A, Yousuf, A J, Zawia, A, Zeidan, L, Zhao, B, Zheng, B, Zongo, O, Jackson, Callum, Stewart, Iain D, Plekhanova, Tatiana, Cunningham, Peter S, Hazel, Andrew L, Al-Sheklly, Bashar, Aul, Raminder, Bolton, Charlotte E, Chalder, Trudie, Chalmers, James D, Chaudhuri, Nazia, Docherty, Annemarie B, Donaldson, Gavin, Edwardson, Charlotte L, Elneima, Omer, Greening, Neil J, Hanley, Neil A, Harris, Victoria C, Harrison, Ewen M, Ho, Ling-Pei, Houchen-Wolloff, Linzy, Howard, Luke S, Jolley, Caroline J, Jones, Mark G, Leavy, Olivia C, Lewis, Keir E, Lone, Nazir I, Marks, Michael, McAuley, Hamish J C, McNarry, Melitta A, Patel, Brijesh V, Piper-Hanley, Karen, Poinasamy, Krisnah, Raman, Betty, Richardson, Matthew, Rivera-Ortega, Pilar, Rowland-Jones, Sarah L, Rowlands, Alex V, Saunders, Ruth M, Scott, Janet T, Sereno, Marco, Shah, Ajay M, Shikotra, Aarti, Singapuri, Amisha, Stanel, Stefan C, Thorpe, Mathew, Wootton, Daniel G, Yates, Thomas, Gisli Jenkins, R, Singh, Sally J, Man, William D-C, Brightling, Christopher E, Wain, Louise V, Porter, Joanna C, Thompson, A A Roger, Horsley, Alex, Molyneaux, Philip L, Evans, Rachael A, Jones, Samuel E, Rutter, Martin K, and Blaikley, John F

Published
2023
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14. A multicomponent intervention to reduce daily sitting time in office workers: the SMART Work & Life three-arm cluster RCT

Author

Edwardson Charlotte L, Maylor Benjamin D, Biddle Stuart JH, Clemes Stacy A, Cox Edward, Davies Melanie J, Dunstan David W, Eborall Helen, Granat Malcolm H, Gray Laura J, Hadjiconstantinou Michelle, Healy Genevieve N, Jaicim Nishal Bhupendra, Lawton Sarah, Mandalia Panna, Munir Fehmidah, Richardson Gerry, Walker Simon, Yates Thomas, and Clarke-Cornwell Alexandra M

Subjects
sedentary behaviour, workplace, standing desk, activpal, cluster trial, sitting, Public aspects of medicine, RA1-1270
Abstract

Background Office workers spend 70–85% of their time at work sitting. High levels of sitting have been linked to poor physiological and psychological health. Evidence shows the need for fully powered randomised controlled trials, with long-term follow-up, to test the effectiveness of interventions to reduce sitting time. Objective Our objective was to test the clinical effectiveness and cost-effectiveness of the SMART Work & Life intervention, delivered with and without a height-adjustable workstation, compared with usual practice at 12-month follow-up. Design A three-arm cluster randomised controlled trial. Setting Councils in England. Participants Office workers. Intervention SMART Work & Life is a multicomponent intervention that includes behaviour change strategies, delivered by workplace champions. Clusters were randomised to (1) the SMART Work & Life intervention, (2) the SMART Work & Life intervention with a height-adjustable workstation (i.e. SMART Work & Life plus desk) or (3) a control group (i.e. usual practice). Outcome measures were assessed at baseline and at 3 and 12 months. Main outcome measures The primary outcome was device-assessed daily sitting time compared with usual practice at 12 months. Secondary outcomes included sitting, standing, stepping time, physical activity, adiposity, blood pressure, biochemical measures, musculoskeletal issues, psychosocial variables, work-related health, diet and sleep. Cost-effectiveness and process evaluation data were collected. Results A total of 78 clusters (756 participants) were randomised [control, 26 clusters (n = 267); SMART Work & Life only, 27 clusters (n = 249); SMART Work & Life plus desk, 25 clusters (n = 240)]. At 12 months, significant differences between groups were found in daily sitting time, with participants in the SMART Work & Life-only and SMART Work & Life plus desk arms sitting 22.2 minutes per day (97.5% confidence interval –38.8 to –5.7 minutes/day; p = 0.003) and 63.7 minutes per day (97.5% confidence interval –80.0 to –47.4 minutes/day; p < 0.001), respectively, less than the control group. Participants in the SMART Work & Life plus desk arm sat 41.7 minutes per day (95% confidence interval –56.3 to –27.0 minutes/day; p < 0.001) less than participants in the SMART Work & Life-only arm. Sitting time was largely replaced by standing time, and changes in daily behaviour were driven by changes during work hours on workdays. Behaviour changes observed at 12 months were similar to 3 months. At 12 months, small improvements were seen for stress, well-being and vigour in both intervention groups, and for pain in the lower extremity and social norms in the SMART Work & Life plus desk group. Results from the process evaluation supported these findings, with participants reporting feeling more energised, alert, focused and productive. The process evaluation also showed that participants viewed the intervention positively; however, the extent of engagement varied across clusters. The average cost of SMART Work & Life only and SMART Work & Life plus desk was £80.59 and £228.31 per participant, respectively. Within trial, SMART Work & Life only had an incremental cost-effectiveness ratio of £12,091 per quality-adjusted life-year, with SMART Work & Life plus desk being dominated. Over a lifetime, SMART Work & Life only and SMART Work & Life plus desk had incremental cost-effectiveness ratios of £4985 and £13,378 per quality-adjusted life-year, respectively. Limitations The study was carried out in one sector, limiting generalisability. Conclusions The SMART Work & Life intervention, provided with and without a height-adjustable workstation, was successful in changing sitting time. Future work There is a need for longer-term follow-up, as well as follow-up within different organisations. Trial registration Current Controlled Trials ISRCTN11618007. Plain language summary Office workers spend a large proportion of their day sitting. High levels of sitting have been linked to diseases, such as type 2 diabetes, heart disease and some cancers. The SMART Work & Life intervention is designed to reduce office workers’ sitting time inside and outside work. The SMART Work & Life intervention involves organisational, environmental, group and individual strategies to encourage a reduction in sitting time and was designed to be delivered with and without a height-adjustable workstation (which allows the user to switch between sitting and standing while working). To test whether or not the SMART Work & Life intervention worked, we recruited 756 office workers from councils in Leicester/Leicestershire, Greater Manchester and Liverpool, UK. Participants were from 78 office groups. One-third of the participants received the intervention, one-third received the intervention with a height-adjustable workstation and one-third were a control group (and carried on as usual). Workplace champions in each office group were given training and resources to deliver the intervention. Data were collected at the start of the study, with follow-up measurements at 3 and 12 months. We measured sitting time using a small device worn on the thigh and collected data on weight, body fat, blood pressure, blood sugar and cholesterol levels. We asked participants about their health and work and spoke to participants to find out what they thought of the intervention. Our results showed that participants who received the intervention without workstation sat for 22 minutes less per day, and participants who received the intervention with workstation sat for 64 minutes less per day, than participants in the control group. Levels of stress, well-being, vigour (i.e. personal and emotional energy and cognitive liveliness) and pain in the lower extremity appeared to improve in the intervention groups. Participants viewed the intervention positively and reported several benefits, such as feeling more energised, alert, focused and productive; however, the extent to which participants engaged with the intervention varied across groups. Scientific summary Background High levels of sedentary behaviour (e.g. sitting, reclining or lying, and expending ≤ 1.5 metabolic equivalents) have been linked to poor health outcomes, including type 2 diabetes, cardiovascular disease, some cancers and premature mortality. In addition to physiological health outcomes, high levels of sitting are detrimentally associated with cognitive function, mental health and a lower quality of life. Working-age adults spend around 60–70% of their workday sitting, with workdays being more sedentary than non-workdays; however, this can vary by occupation. Office workers spend 70–85% of their time at work sitting and accumulate a large proportion (40–50%) of this time in prolonged sitting bouts. Office workers also typically spend a large proportion of their leisure time sitting, compared with other occupations. In the workplace, lower levels of sitting have been linked to higher work vigour, higher job performance and lower presenteeism. Workplaces are, therefore, an ideal setting for implementing interventions to reduce daily sitting. Current evidence shows a need for fully powered randomised controlled trials (RCTs) with long-term follow-up to test the effectiveness of interventions to reduce sitting. Previous work from our group, evaluating multicomponent interventions to address high levels of sitting in office workers, found that significant reductions in sitting time across the day were mainly driven by changes to workplace sitting and to not daily sitting, indicating that a whole-day approach to encourage reductions in daily sitting was needed to maximise the potential health benefits. Objectives The main aim of the study was to evaluate the clinical effectiveness and cost-effectiveness of the SMART Work & Life (SWAL) intervention (provided with and without a height-adjustable workstation) in a sample of desk-based office workers. If both interventions were shown to be effective in comparison with the control group, then a secondary aim would be to determine if one intervention was more clinically effective and cost-effective than the other. Primary objective To investigate the impact of the SWAL intervention, delivered with and without a height-adjustable workstation, on device-assessed daily sitting time compared with usual practice at 12 months’ follow-up. Secondary objectives To investigate the impact of the SWAL intervention, delivered with and without a height-adjustable workstation, over the short term (assessed at 3 months) and longer term (assessed at 12 months) on: daily sitting time on any valid day (3 months) and on workdays and non-workdays sitting time during work hours daily time spent standing and in light and moderate or vigorous physical activity (MVPA) across any valid day, during work hours and on workdays and non-workdays daily time spent stepping and number of steps across any valid day, during work hours and on workdays and non-workdays markers of adiposity [i.e. body mass index (BMI), per cent body fat, waist circumference] blood pressure blood biomarkers [i.e. fasting glucose, cholesterol, triglycerides, glycated haemoglobin (HbA1c)] musculoskeletal health psychosocial health (i.e. fatigue, stress, anxiety and depression, well-being and quality of life) work-related health and performance (i.e. work engagement, job performance and satisfaction, occupational fatigue, presenteeism, sickness absence) sleep duration and quality. To undertake a full economic analysis of the SWAL intervention. To conduct a mixed-methods process evaluation throughout the intervention implementation period (using qualitative and quantitative measures) with participants and workplace champions. Methods Design A three-arm cluster RCT with a cost-effectiveness and process evaluation analysis. Follow-up measures were taken at 3 and 12 months. Setting Local councils in Leicester, Leicestershire, Greater Manchester and Liverpool, UK. Participants Participants were recruited from across participating councils (i.e. Leicester City Council, Leicestershire County Council, Salford City Council, Bolton Council, Trafford Council and Liverpool City Council). Participants were office-based employees (aged ≥ 18 years) who spent the majority (≥ 50%) of their day sitting, were at least 60% full-time equivalent and were able to walk without assistance. Employees who were pregnant, who already used a height-adjustable workstation or were unable to communicate in English were not eligible. Participants were grouped into clusters either by a shared office space (although could be made up of different teams/departments) or if they were members of the same team but split into different office spaces. To be eligible, each cluster was required to have at least one participant willing to undertake the role of workplace champion and at least four participants in the cluster. Informed consent was obtained from participants before the baseline measurement session and verbal consent was confirmed at each follow-up. Sample size To detect a 60-minute difference in average daily sitting time between the intervention groups and the control group [assuming a sitting time standard deviation (SD) of 90 minutes, 90% power, a two-tailed significance level of 5%, an average cluster size of 10 (range 4–38), an intraclass correlation coefficient of 0.05, the number of clusters being inflated by a factor of 1.23, allowing for one cluster drop out per arm and a 40% loss to follow-up/non-compliance with the activPAL (PAL Technologies Ltd, Glasgow, UK)], the required sample size was 690 participants from 72 clusters. Testing two intervention arms independently with the control arm was also taken account of as part of the sample size calculation. Interventions The SWAL intervention is a multicomponent intervention grounded in several behaviour change theories, which aims to reduce daily sitting in office workers. The SWAL intervention includes organisational-level behaviour change strategies (e.g. management buy-in), environmental-level behaviour change strategies (e.g. relocating waster bins, printers) and group-/individual-level behaviour change strategies (e.g. education, action-planning, goal-setting, addressing barriers, group coaching, challenges, self-monitoring) that are delivered by workplace champions. After all baseline measures were carried out, clusters were randomised to one of the following three conditions: (1) SWAL only, (2) the SWAL intervention with the addition of a height-adjustable workstation (i.e. SWAL plus desk) or (3) the control group. Randomisation was stratified by area (i.e. Leicester, Salford or Liverpool) and cluster size [i.e. small (

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2023
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16. Device-assessed sleep and physical activity in individuals recovering from a hospital admission for COVID-19: a multicentre study

Author

Plekhanova, Tatiana, Rowlands, Alex V., Evans, Rachael A., Edwardson, Charlotte L., Bishop, Nicolette C., Bolton, Charlotte E., Chalmers, James D., Davies, Melanie J., Daynes, Enya, Dempsey, Paddy C., Docherty, Annemarie B., Elneima, Omer, Greening, Neil J., Greenwood, Sharlene A., Hall, Andrew P., Harris, Victoria C., Harrison, Ewen M., Henson, Joseph, Ho, Ling-Pei, Horsley, Alex, Houchen-Wolloff, Linzy, Khunti, Kamlesh, Leavy, Olivia C., Lone, Nazir I., Marks, Michael, Maylor, Ben, McAuley, Hamish J. C., Nolan, Claire M., Poinasamy, Krisnah, Quint, Jennifer K., Raman, Betty, Richardson, Matthew, Sargeant, Jack A., Saunders, Ruth M., Sereno, Marco, Shikotra, Aarti, Singapuri, Amisha, Steiner, Michael, Stensel, David J., Wain, Louise V., Whitney, Julie, Wootton, Dan G., Brightling, Christopher E., Man, William D-C., Singh, Sally J., and Yates, Tom

Published
2022
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18. The effectiveness of the Structured Health Intervention For Truckers (SHIFT): a cluster randomised controlled trial (RCT)

Author

Clemes, Stacy A., Varela-Mato, Veronica, Bodicoat, Danielle H., Brookes, Cassandra L., Chen, Yu-Ling, Edwardson, Charlotte L., Gray, Laura J., Guest, Amber J., Johnson, Vicki, Munir, Fehmidah, Paine, Nicola J., Richardson, Gerry, Ruettger, Katharina, Sayyah, Mohsen, Sherry, Aron, Di Paola, Ana Suazo, Troughton, Jacqui, Yates, Thomas, and King, James A.

Published
2022
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19. Capturing How the Accelerometer Measured Physical Activity Profile Differs in People with Diabetic Foot Ulceration.

Author

Neal, Liam, McCarthy, Matthew, Dempsey, Paddy, Zaccardi, Francesco, Berrington, Rachel, Brady, Emer M., Edwardson, Charlotte L., Game, Frances, Hall, Andrew, Henson, Joseph, Khunti, Kamlesh, Turner, Bethany, Webb, David, Davies, Melanie J., Rowlands, Alex V., and Yates, Tom

Subjects
PHYSICAL activity, DIABETES complications, ACCELEROMETRY, DIABETES, ACCELEROMETERS, WRIST, DIABETIC foot
Abstract

Diabetic Foot Ulcers (DFUs) are a major complication of diabetes, with treatment requiring offloading. This study aimed to capture how the accelerometer-assessed physical activity profile differs in those with DFUs compared to those with diabetes but without ulceration (non-DFU). Participants were requested to wear an accelerometer on their non-dominant wrist for up to 8days. Physical activity outcomes included average acceleration (volume), intensity gradient (intensity distribution), the intensity of the most active sustained (continuous) 5–120 min of activity (MXCONT), and accumulated 5–120 min of activity (MXACC). A total of 595 participants (non-DFU = 561, DFU = 34) were included in the analysis. Average acceleration was lower in DFU participants compared to non-DFU participants (21.9 mg [95%CI:21.2, 22.7] vs. 16.9 mg [15.3, 18.8], p < 0.001). DFU participants also had a lower intensity gradient, indicating proportionally less time spent in higher-intensity activities. The relative difference between DFU and non-DFU participants was greater for sustained activity (MXCONT) than for accumulated (MXACC) activity. In conclusion, physical activity, particularly the intensity of sustained activity, is lower in those with DFUs compared to non-DFUs. This highlights the need for safe, offloaded modes of activity that contribute to an active lifestyle for people with DFUs. [ABSTRACT FROM AUTHOR]

Published
2024
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21. Cost-effectiveness analysis of two interventions to promote physical activity in a multiethnic population at high risk of diabetes: an economic evaluation of the 48-month PROPELS randomized controlled trial

Author

Heathcote, Laura Ellen, primary, Pollard, Daniel J, additional, Brennan, Alan, additional, Davies, Melanie J, additional, Eborall, Helen, additional, Edwardson, Charlotte L, additional, Gillett, Michael, additional, Gray, Laura J, additional, Griffin, Simon J, additional, Hardeman, Wendy, additional, Henson, Joseph, additional, Khunti, Kamlesh, additional, Sharp, Stephen, additional, Sutton, Stephen, additional, and Yates, Thomas, additional

Published
2024
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24. Twenty‐four‐hour physical behaviour profiles across type 2 diabetes mellitus subtypes.

Author

Henson, Joseph, Tziannou, Aikaterina, Rowlands, Alex V., Edwardson, Charlotte L., Hall, Andrew P., Davies, Melanie J., and Yates, Thomas

Subjects
TYPE 2 diabetes, SLEEP duration, PHYSICAL activity, BODY mass index, K-means clustering
Abstract

Aim: To investigate how 24‐h physical behaviours differ across type 2 diabetes (T2DM) subtypes. Materials and Methods: We included participants living with T2DM, enrolled as part of an ongoing observational study. Participants wore an accelerometer for 7 days to quantify physical behaviours across 24 h. We used routinely collected clinical data (age at onset of diabetes, glycated haemoglobin level, homeostatic model assessment index of beta‐cell function, homeostatic model assessment index of insulin resistance, body mass index) to replicate four previously identified subtypes (insulin‐deficient diabetes [INS‐D], insulin‐resistant diabetes [INS‐R], obesity‐related diabetes [OB] and age‐related diabetes [AGE]), via k‐means clustering. Differences in physical behaviours across the diabetes subtypes were assessed using generalized linear models, with the AGE cluster as the reference. Results: A total of 564 participants were included in this analysis (mean age 63.6 ± 8.4 years, 37.6% female, mean age at diagnosis 53.1 ± 10.0 years). The proportions in each cluster were as follows: INS‐D: n = 35, 6.2%; INS‐R: n = 88, 15.6%; OB: n = 166, 29.4%; and AGE: n = 275, 48.8%. Compared to the AGE cluster, the OB cluster had a shorter sleep duration (−0.3 h; 95% confidence interval [CI] −0.5, −0.1), lower sleep efficiency (−2%; 95% CI −3, −1), lower total physical activity (−2.9 mg; 95% CI −4.3, −1.6) and less time in moderate‐to‐vigorous physical activity (−6.6 min; 95% CI −11.4, −1.7), alongside greater sleep variability (17.9 min; 95% CI 8.2, 27.7) and longer sedentary time (31.9 min; 95% CI 10.5, 53.2). Movement intensity during the most active continuous 10 and 30 min of the day was also lower in the OB cluster. Conclusions: In individuals living with T2DM, the OB subtype had the lowest levels of physical activity and least favourable sleep profiles. Such behaviours may be suitable targets for personalized therapeutic lifestyle interventions. [ABSTRACT FROM AUTHOR]

Published
2024
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30. Long-term ambient air pollution exposure and prospective change in sedentary behaviour and physical activity in individuals at risk of type 2 diabetes in the UK.

Author

Goldney, Jonathan, Henson, Joseph, Edwardson, Charlotte L, Khunti, Kamlesh, Davies, Melanie J, and Yates, Thomas

Subjects
AIR pollution, RESEARCH funding, SEDENTARY lifestyles, ACCELEROMETRY, EXERCISE intensity, DESCRIPTIVE statistics, LONGITUDINAL method, TYPE 2 diabetes, ENVIRONMENTAL exposure, PARTICULATE matter, NITROGEN oxides, CONFIDENCE intervals, DATA analysis software, PHYSICAL activity
Abstract

Background Air pollution may be a risk factor for physical inactivity and sedentary behaviour (SED) through discouraging active lifestyles, impairing fitness and contributing to chronic diseases with potentially important consequences for population health. Methods Using generalized estimating equations, we examined the associations between long-term particulate matter with diameter ≤2.5 μm (PM2.5), ≤10 μm (PM10) and nitrogen dioxide (NO2) and annual change in accelerometer-measured SED, moderate-to-vigorous physical activity (MVPA) and steps in adults at risk of type 2 diabetes within the Walking Away from Type 2 Diabetes trial. We adjusted for important confounders including social deprivation and measures of the built environment. Results From 808 participants, 644 had complete data (1605 observations; 64.7% men; mean age 63.86 years). PM2.5, NO2 and PM10 were not associated with change in MVPA/steps but were associated with change in SED, with a 1 ugm−3 increase associated with 6.38 (95% confidence interval: 0.77, 12.00), 1.52 (0.49, 2.54) and 4.48 (0.63, 8.34) adjusted annual change in daily minutes, respectively. Conclusions Long-term PM2.5, NO2 and PM10 exposures were associated with an annual increase in SED: ~11–22 min/day per year across the sample range of exposure (three standard deviations). Future research should investigate whether interventions to reduce pollution may influence SED. [ABSTRACT FROM AUTHOR]

Published
2024
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31. The potential blunting effect of metformin and/or statin therapy on physical activity‐induced associations with HbA1c in type 2 diabetes.

Author

Henson, Joseph, Davies, Melanie J., Brady, Emer M., Edwardson, Charlotte L., Hall, Andrew P., Khunti, Kamlesh, Redman, Emma, Rowlands, Alex V., Sargeant, Jack, and Yates, Thomas

Subjects
TYPE 2 diabetes, STATINS (Cardiovascular agents), GLYCOSYLATED hemoglobin, METFORMIN, PHYSICAL therapy, INSULIN aspart
Published
2024
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32. Promoting participation in physical activity through Snacktivity: A qualitative mixed methods study

Author

Krouwel, Matthew, primary, Greenfield, Sheila M., additional, Chalkley, Anna, additional, Sanders, James P., additional, Parretti, Helen M., additional, Gokal, Kajal, additional, Jolly, Kate, additional, Skrybant, Magdalena, additional, Biddle, Stuart J. H., additional, Greaves, Colin, additional, Maddison, Ralph, additional, Mutrie, Nanette, additional, Ives, Natalie, additional, Esliger, Dale W., additional, Sherar, Lauren, additional, Edwardson, Charlotte L., additional, Yates, Tom, additional, Frew, Emma, additional, Tearne, Sarah, additional, and Daley, Amanda J., additional

Published
2023
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33. Differences in Dietary Intake, Eating Occasion Timings and Eating Windows between Chronotypes in Adults Living with Type 2 Diabetes Mellitus

Author

Katsarova, Stanislava S., primary, Redman, Emma, additional, Arsenyadis, Franciskos, additional, Brady, Emer M., additional, Rowlands, Alex V., additional, Edwardson, Charlotte L., additional, Goff, Louise M., additional, Khunti, Kamlesh, additional, Yates, Thomas, additional, Hall, Andrew P., additional, Davies, Melanie J., additional, and Henson, Joseph, additional

Published
2023
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37. Activity-related parenting practices and young people's physical activity

Author

Edwardson, Charlotte L.

Subjects
796.077
Abstract

Despite the health benefits associated with regular physical activity only a small percentage of young people are meeting the physical activity recommendations. There is a need to further understanding of the factors that influence physical activity behaviour in young people to inform intervention programmes. This thesis provides six studies focusing on the objective measurement of young people's physical activity as well as social support for physical activity. Chapter 2.1 describes a systematic review of quantitative research examining parental influences on different types and intensities of physical activity in young people. Chapter 2.2 describes a systematic review of qualitative research examining the role of parents in young people s physical activity. Both reviews were conducted to examine the state of the current literature focused on parental influences on young people s physical activity and were used to inform the direction of the research in later chapters. Chapter 3 describes two cross-sectional studies examining the effects of key decisions researchers must make when using accelerometers on accelerometer ouput in children and adolescents. Chapter 3.1 describes a study examining the effect of epoch length on physical activity intensity in children and adolescents. Chapter 3.2 describes a study examining the impact of accelerometer processing decision rules, such as cut-points and non-wear period, on children s and adolescents physical activity. The purpose of these studies was to systematically explore the pre- and post-data collection decisions associated with accelerometer use on accelerometer output in young people and inform accelerometer use in chapters 4 and 5. Chapter 4 was designed to explore activity-related parenting practices and children s (7-10 years) objectively measured physical activity. Chapter 5 describes a study examining five sources of social support and adolescent s physical activity measured two ways. This thesis demonstrated that parents play in key role in their child's physical activity through a variety of support avenues and in adolescence support for physical activity provided by peers appears to be important in shaping physical activity behaviour. Targeting such facets of the social environment offers a potentially useful avenue for interventions designed to increase physical activity. Finally, this thesis also demonstrated that there are a number of challenges with accelerometer use particularly in the area of processing data. The rich information provided by accelerometers makes them an invaluable tool to understand the complex nature of young people's physical activity behaviour but further work needs to be conducted on standardising methods for cleaning, analysing and reporting accelerometer data.

Published
2010

39. Differences in Accelerometer-Measured Patterns of Physical Activity and Sleep/Rest Between Ethnic Groups and Age: An Analysis of UK Biobank.

Author

Dawkins, Nathan P., Yates, Tom, Razieh, Cameron, Edwardson, Charlotte L., Maylor, Ben, Zaccardi, Francesco, Khunti, Kamlesh, and Rowlands, Alex V.

Subjects
PHYSICAL activity, SLEEP, ETHNICITY, ACCELEROMETRY, ETHNIC differences
Abstract

Background: Physical activity and sleep are important for health; whether device-measured physical activity and sleep differ by ethnicity is unclear. This study aimed to compare physical activity and sleep/rest in white, South Asian (SA), and black adults by age. Methods: Physical activity and sleep/rest quality were assessed using accelerometer data from UK Biobank. Linear regressions, stratified by sex, were used to analyze differences in activity and sleep/rest. An ethnicity × age group interaction term was used to assess whether ethnic differences were consistent across age groups. Results: Data from 95,914 participants, aged 45–79 years, were included. Overall activity was 7% higher in black, and 5% lower in SA individuals compared with white individuals. Minority ethnic groups had poorer sleep/rest quality. Lower physical activity and poorer sleep quality occurred at a later age in black and SA adults (>65 y), than white adults (>55 y). Conclusions: While black adults are more active, and SA adults less active, than white adults, the age-related reduction appears to be delayed in black and SA adults. Sleep/rest quality is poorer in black and SA adults than in white adults. Understanding ethnic differences in physical activity and rest differ may provide insight into chronic conditions with differing prevalence across ethnicities. [ABSTRACT FROM AUTHOR]

Published
2022
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40. Accelerometer-Assessed Physical Activity in People with Type 2 Diabetes: Accounting for Sleep when Determining Associations with Markers of Health

Author

Rowlands, Alex V., primary, van Hees, Vincent T., additional, Dawkins, Nathan P., additional, Maylor, Benjamin D., additional, Plekhanova, Tatiana, additional, Henson, Joseph, additional, Edwardson, Charlotte L., additional, Brady, Emer M., additional, Hall, Andrew P., additional, Davies, Melanie J., additional, and Yates, Thomas, additional

Published
2023
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41. Association between Chronotype and Physical Behaviours in Adolescent Girls

Author

Plekhanova, Tatiana, primary, Crawley, Emily, additional, Davies, Melanie J., additional, Gorely, Trish, additional, Harrington, Deirdre M., additional, Ioannidou, Ekaterini, additional, Khunti, Kamlesh, additional, Rowlands, Alex V., additional, Sherar, Lauren B., additional, Yates, Tom, additional, and Edwardson, Charlotte L., additional

Published
2023
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42. Sedentary Time is Independently Related to Adipose Tissue Insulin Resistance in Adults with or at Risk of Type 2 Diabetes

Author

Engin, Buket, primary, Willis, Scott A., additional, Malaikah, Sundus, additional, Sargeant, Jack A., additional, Biddle, Gregory J. H., additional, Razieh, Cameron, additional, Argyridou, Stavroula, additional, Edwardson, Charlotte L., additional, Jelleyman, Charlotte, additional, Stensel, David J., additional, Henson, Joseph, additional, Rowlands, Alex V., additional, Davies, Melanie J., additional, Yates, Thomas, additional, and King, James A., additional

Published
2023
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