Behavioural interventions to promote physical activity in a multiethnic population at high risk of diabetes: PROPELS three-arm RCT.
暂无分享,去创建一个
K. Khunti | A. Brennan | S. Sharp | W. Hardeman | H. Dallosso | M. Davies | C. Edwardson | L. Gray | T. Yates | J. Henson | J. Troughton | S. Sutton | K. Morton | H. Eborall | Laura Heathcote | D. Pollard | S. Griffin | Stephen Sutton | Katie L Morton
[1] K. Khunti,et al. Promoting physical activity in a multi-ethnic population at high risk of diabetes: the 48-month PROPELS randomised controlled trial , 2021, BMC Medicine.
[2] K. Khunti,et al. Distal technology interventions in people with diabetes: an umbrella review of multiple health outcomes , 2020, Diabetic medicine : a journal of the British Diabetic Association.
[3] M. Davies,et al. Wrist-worn accelerometers: recommending ~1.0 mg as the minimum clinically important difference (MCID) in daily average acceleration for inactive adults , 2020, British Journal of Sports Medicine.
[4] K. Khunti,et al. Early Outcomes From the English National Health Service Diabetes Prevention Programme , 2019, Diabetes Care.
[5] Maria Hagströmer,et al. Dose-response associations between accelerometry measured physical activity and sedentary time and all cause mortality: systematic review and harmonised meta-analysis , 2019, BMJ.
[6] K. Khunti,et al. Impact of Depression and Anxiety on Change to Physical Activity Following a Pragmatic Diabetes Prevention Program Within Primary Care: Pooled Analysis From Two Randomized Controlled Trials , 2019, Diabetes Care.
[7] R. Stewart,et al. Intensity and duration of lifestyle interventions for long-term weight loss and association with mortality: a meta-analysis of randomised trials , 2019, BMJ Open.
[8] Soren Brage,et al. Physical activity trajectories and mortality: population based cohort study , 2019, BMJ.
[9] S. Elavsky,et al. Mobile Health Interventions for Physical Activity, Sedentary Behavior, and Sleep in Adults Aged 50 Years and Older: A Systematic Literature Review. , 2019, Journal of aging and physical activity.
[10] A. Nicolucci,et al. Effect of a Behavioral Intervention Strategy on Sustained Change in Physical Activity and Sedentary Behavior in Patients With Type 2 Diabetes: The IDES_2 Randomized Clinical Trial , 2019, JAMA.
[11] Cindy M. Gray,et al. The effect of a programme to improve men’s sedentary time and physical activity: The European Fans in Training (EuroFIT) randomised controlled trial , 2019, PLoS medicine.
[12] Mohammed K. Ali,et al. Global Diabetes Prevention Interventions: A Systematic Review and Network Meta-analysis of the Real-World Impact on Incidence, Weight, and Glucose , 2018, Diabetes Care.
[13] M. Bachmann,et al. Discordance in glycemic categories and regression to normality at baseline in 10,000 people in a Type 2 diabetes prevention trial , 2018, Scientific Reports.
[14] U. Ekelund,et al. Physical activity levels in adults and older adults 3–4 years after pedometer-based walking interventions: Long-term follow-up of participants from two randomised controlled trials in UK primary care , 2018, PLoS medicine.
[15] M. Dörr,et al. Pitfalls in accelerometer‐based measurement of physical activity: The presence of reactivity in an adult population , 2018, Scandinavian journal of medicine & science in sports.
[16] A. Brennan,et al. Assessing the potential return on investment of the proposed UK NHS diabetes prevention programme in different population subgroups: an economic evaluation , 2017, BMJ Open.
[17] K. Khunti,et al. Change in Sedentary Time, Physical Activity, Bodyweight, and HbA1c in High-Risk Adults , 2017, Medicine and science in sports and exercise.
[18] L. Preston,et al. The impact of Type 2 diabetes prevention programmes based on risk‐identification and lifestyle intervention intensity strategies: a cost‐effectiveness analysis , 2017, Diabetic medicine : a journal of the British Diabetic Association.
[19] A. Farmer,et al. Impact of accelerometer and pedometer use on physical activity and glycaemic control in people with Type 2 diabetes: a systematic review and meta‐analysis , 2017, Diabetic medicine : a journal of the British Diabetic Association.
[20] K. Khunti,et al. Walking Away from Type 2 diabetes: a cluster randomized controlled trial , 2017, Diabetic medicine : a journal of the British Diabetic Association.
[21] P. Diggle,et al. Cost‐effectiveness of population‐based, community, workplace and individual policies for diabetes prevention in the UK , 2017, Diabetic medicine : a journal of the British Diabetic Association.
[22] K. Khunti,et al. Cost-effectiveness of a pragmatic structured education intervention for the prevention of type 2 diabetes: economic evaluation of data from the Let's Prevent Diabetes cluster-randomised controlled trial , 2017, BMJ Open.
[23] R. Wing,et al. Four-Year Physical Activity Levels among Intervention Participants with Type 2 Diabetes. , 2016, Medicine and science in sports and exercise.
[24] U. Ekelund,et al. Short-term and long-term cost-effectiveness of a pedometer-based exercise intervention in primary care: a within-trial analysis and beyond-trial modelling , 2016, BMJ Open.
[25] J. Usher-Smith,et al. Cardiovascular risk models for South Asian populations: a systematic review , 2016, International Journal of Public Health.
[26] F. Sniehotta,et al. Theoretical explanations for maintenance of behaviour change: a systematic review of behaviour theories , 2016, Health psychology review.
[27] K. Khunti,et al. A community based primary prevention programme for type 2 diabetes integrating identification and lifestyle intervention for prevention: the Let's Prevent Diabetes cluster randomised controlled trial. , 2016, Preventive medicine.
[28] K. Khunti,et al. A Text-Messaging and Pedometer Program to Promote Physical Activity in People at High Risk of Type 2 Diabetes: The Development of the PROPELS Follow-On Support Program , 2015, JMIR mHealth and uHealth.
[29] P. Diggle,et al. A statistical model to describe longitudinal and correlated metabolic risk factors: the Whitehall II prospective study , 2015, Journal of public health.
[30] K. Khunti,et al. PRomotion Of Physical activity through structured Education with differing Levels of ongoing Support for people at high risk of type 2 diabetes (PROPELS): study protocol for a randomized controlled trial , 2015, Trials.
[31] K. Khunti,et al. The cost-effectiveness of testing strategies for type 2 diabetes: a modelling study. , 2015, Health technology assessment.
[32] R. Willke,et al. Cost-effectiveness analysis alongside clinical trials II-An ISPOR Good Research Practices Task Force report. , 2015, Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research.
[33] D. Wald,et al. Randomised Trial of Text Messaging on Adherence to Cardiovascular Preventive Treatment (INTERACT Trial) , 2014, PloS one.
[34] W. Hardeman,et al. Which Behavior Change Techniques are Associated with Changes in Physical Activity, Diet and Body Mass Index in People with Recently Diagnosed Diabetes? , 2014, Annals of behavioral medicine : a publication of the Society of Behavioral Medicine.
[35] P. Lin,et al. A text messaging‐assisted randomized lifestyle weight loss clinical trial among overweight adults in Beijing , 2014, Obesity.
[36] G. Colditz,et al. Life years lost and lifetime health care expenditures associated with diabetes in the United States , 2014 .
[37] F. Naughton,et al. Randomized controlled trial to assess the short-term effectiveness of tailored web- and text-based facilitation of smoking cessation in primary care (iQuit in Practice) , 2014, Addiction.
[38] W. Kraus,et al. Association between change in daily ambulatory activity and cardiovascular events in people with impaired glucose tolerance (NAVIGATOR trial): a cohort analysis , 2014, The Lancet.
[39] K. Khunti,et al. Diabetes Prevention in the Real World: Effectiveness of Pragmatic Lifestyle Interventions for the Prevention of Type 2 Diabetes and of the Impact of Adherence to Guideline Recommendations , 2014, Diabetes Care.
[40] Anne Douglas,et al. Effect of a lifestyle intervention on weight change in south Asian individuals in the UK at high risk of type 2 diabetes: a family-cluster randomised controlled trial. , 2014, The lancet. Diabetes & endocrinology.
[41] Seth M Noar,et al. Efficacy of text messaging-based interventions for health promotion: a meta-analysis. , 2013, Social science & medicine.
[42] C. Toumazou,et al. Effectiveness of mobile phone messaging in prevention of type 2 diabetes by lifestyle modification in men in India: a prospective, parallel-group, randomised controlled trial. , 2013, The lancet. Diabetes & endocrinology.
[43] Yu-ming Chen,et al. Effects of blood triglycerides on cardiovascular and all-cause mortality: a systematic review and meta-analysis of 61 prospective studies , 2013, Lipids in Health and Disease.
[44] N. Sattar,et al. Lower cardiorespiratory fitness contributes to increased insulin resistance and fasting glycaemia in middle-aged South Asian compared with European men living in the UK , 2013, Diabetologia.
[45] C. Abraham,et al. The Behavior Change Technique Taxonomy (v1) of 93 Hierarchically Clustered Techniques: Building an International Consensus for the Reporting of Behavior Change Interventions , 2013, Annals of behavioral medicine : a publication of the Society of Behavioral Medicine.
[46] Alison L Marshall,et al. Iterative development of MobileMums: a physical activity intervention for women with young children , 2012, International Journal of Behavioral Nutrition and Physical Activity.
[47] J. Car,et al. Mobile phone messaging for preventive health care. , 2012, The Cochrane database of systematic reviews.
[48] Sean P Mullen,et al. Increasing Physical Activity With Mobile Devices: A Meta-Analysis , 2012, Journal of medical Internet research.
[49] Darren Flynn,et al. Changing Physical Activity Behavior in Type 2 Diabetes , 2012, Diabetes Care.
[50] I. White,et al. Including all individuals is not enough: Lessons for intention-to-treat analysis , 2012, Clinical trials.
[51] T. Kohlmann,et al. Interim scoring for the EQ-5D-5L: mapping the EQ-5D-5L to EQ-5D-3L value sets. , 2012, Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research.
[52] C. Bartlett,et al. Estimating the current and future costs of Type 1 and Type 2 diabetes in the UK, including direct health costs and indirect societal and productivity costs , 2012, Diabetic medicine : a journal of the British Diabetic Association.
[53] Wolfgang Rathmann,et al. Prediabetes: a high-risk state for diabetes development , 2012, The Lancet.
[54] K. Khunti,et al. Walking away from type 2 diabetes: trial protocol of a cluster randomised controlled trial evaluating a structured education programme in those at high risk of developing type 2 diabetes , 2012, BMC Family Practice.
[55] K. Khunti,et al. Let’s prevent diabetes: study protocol for a cluster randomised controlled trial of an educational intervention in a multi-ethnic UK population with screen detected impaired glucose regulation , 2012, Cardiovascular Diabetology.
[56] Ralph Maddison,et al. A Development and Evaluation Process for mHealth Interventions: Examples From New Zealand , 2012, Journal of health communication.
[57] K. Khunti,et al. Detection of impaired glucose regulation and/or type 2 diabetes mellitus, using primary care electronic data, in a multiethnic UK community setting , 2012, Diabetologia.
[58] C. Power,et al. Physical (in)activity over 20 y in adulthood: associations with adult lipid levels in the 1958 British birth cohort. , 2011, Atherosclerosis.
[59] David R Bassett,et al. 2011 Compendium of Physical Activities: a second update of codes and MET values. , 2011, Medicine and science in sports and exercise.
[60] A. Montgomery,et al. Diet or diet plus physical activity versus usual care in patients with newly diagnosed type 2 diabetes: the Early ACTID randomised controlled trial , 2011, The Lancet.
[61] N. Wareham,et al. Environmental and psychological correlates of older adult's active commuting. , 2011, Medicine and science in sports and exercise.
[62] S. Michie,et al. A refined taxonomy of behaviour change techniques to help people change their physical activity and healthy eating behaviours: The CALO-RE taxonomy , 2011, Psychology & health.
[63] T. Chandola,et al. Physical activity behaviour and coronary heart disease mortality among South Asian people in the UK: an observational longitudinal study , 2010, Heart.
[64] K. Khunti,et al. The potential impact and optimal cut-points of using glycated haemoglobin, HbA1c, to detect people with impaired glucose regulation in a UK multi-ethnic cohort. , 2010, Diabetes research and clinical practice.
[65] K. Khunti,et al. Levels of physical activity and relationship with markers of diabetes and cardiovascular disease risk in 5474 white European and South Asian adults screened for type 2 diabetes. , 2010, Preventive medicine.
[66] K Khunti,et al. Delivering the diabetes education and self management for ongoing and newly diagnosed (DESMOND) programme for people with newly diagnosed type 2 diabetes: cost effectiveness analysis , 2010, BMJ : British Medical Journal.
[67] M. Laakso,et al. Effect of valsartan on the incidence of diabetes and cardiovascular events. , 2010, The New England journal of medicine.
[68] Diabetes Prevention Program Research Group. 10-year follow-up of diabetes incidence and weight loss in the Diabetes Prevention Program Outcomes Study , 2009, The Lancet.
[69] C. Abraham,et al. Effective techniques in healthy eating and physical activity interventions: a meta-regression. , 2009, Health psychology : official journal of the Division of Health Psychology, American Psychological Association.
[70] Seth Wolpin,et al. Pilot study of a cell phone-based exercise persistence intervention post-rehabilitation for COPD , 2009, International journal of chronic obstructive pulmonary disease.
[71] K. Khunti,et al. Effectiveness of a Pragmatic Education Program Designed to Promote Walking Activity in Individuals With Impaired Glucose Tolerance , 2009, Diabetes Care.
[72] J. Shaw,et al. International Expert Committee Report on the Role of the A1C Assay in the Diagnosis of Diabetes , 2009, Diabetes Care.
[73] Catrine Tudor-Locke,et al. Accelerometer-determined steps per day in US adults. , 2009, Medicine and science in sports and exercise.
[74] K. Newton,et al. Pedometers and Text Messaging to Increase Physical Activity , 2009, Diabetes Care.
[75] D. Marrero,et al. Translating the Diabetes Prevention Program into the community. The DEPLOY Pilot Study. , 2008, American journal of preventive medicine.
[76] K. Khunti,et al. ‘Educator talk’ and patient change: some insights from the DESMOND (Diabetes Education and Self Management for Ongoing and Newly Diagnosed) randomized controlled trial , 2008, Diabetic medicine : a journal of the British Diabetic Association.
[77] A. Sheikh,et al. Predicting cardiovascular risk in England and Wales: prospective derivation and validation of QRISK2 , 2008, BMJ : British Medical Journal.
[78] Bo Zhang,et al. The long-term effect of lifestyle interventions to prevent diabetes in the China Da Qing Diabetes Prevention Study: a 20-year follow-up study , 2008, The Lancet.
[79] Nicola J Cooper,et al. Different strategies for screening and prevention of type 2 diabetes in adults: cost effectiveness analysis , 2008, BMJ : British Medical Journal.
[80] K. Khunti,et al. Effectiveness of the diabetes education and self management for ongoing and newly diagnosed (DESMOND) programme for people with newly diagnosed type 2 diabetes: cluster randomised controlled trial , 2008, BMJ : British Medical Journal.
[81] M. Pencina,et al. General Cardiovascular Risk Profile for Use in Primary Care: The Framingham Heart Study , 2008, Circulation.
[82] Stephen Sutton,et al. Efficacy of a theory-based behavioural intervention to increase physical activity in an at-risk group in primary care (ProActive UK): a randomised trial , 2008, The Lancet.
[83] A. Henningsen,et al. systemfit: A Package for Estimating Systems of Simultaneous Equations in R , 2007 .
[84] I. Olkin,et al. Using pedometers to increase physical activity and improve health: a systematic review. , 2007, JAMA.
[85] R. Albayrak,et al. The Effects of Weight Loss on Normal Transaminase Levels in Obese Patients , 2007, The American journal of the medical sciences.
[86] A. Nissinen,et al. Type 2 Diabetes Prevention in the “Real World” , 2007, Diabetes Care.
[87] J. S. Sodhi,et al. Using Internet and Mobile Phone Technology to Deliver an Automated Physical Activity Program: Randomized Controlled Trial , 2007, Journal of medical Internet research.
[88] K. Khunti,et al. The role of physical activity in the management of impaired glucose tolerance: a systematic review , 2007, Diabetologia.
[89] Chris Rissel,et al. Promoting walking with pedometers in the community: the step-by-step trial. , 2007, American journal of preventive medicine.
[90] F. Hu,et al. Physical Activity of Moderate Intensity and Risk of Type 2 Diabetes , 2007, Diabetes Care.
[91] Nicola J Cooper,et al. Pharmacological and lifestyle interventions to prevent or delay type 2 diabetes in people with impaired glucose tolerance: systematic review and meta-analysis , 2007, BMJ : British Medical Journal.
[92] J. Lindström,et al. Sustained reduction in the incidence of type 2 diabetes by lifestyle intervention: follow-up of the Finnish Diabetes Prevention Study , 2006, The Lancet.
[93] S Kumar,et al. Type 2 diabetes and cardiovascular risk in the UK south Asian community , 2006, Diabetologia.
[94] David M Williams,et al. Social-cognitive determinants of physical activity: the influence of social support, self-efficacy, outcome expectations, and self-regulation among participants in a church-based health promotion study. , 2006, Health psychology : official journal of the Division of Health Psychology, American Psychological Association.
[95] Elizabeth Broadbent,et al. The brief illness perception questionnaire. , 2006, Journal of psychosomatic research.
[96] Urte Scholz,et al. The role of action control in implementing intentions during the first weeks of behaviour change. , 2006, The British journal of social psychology.
[97] JoAnn E Manson,et al. Epidemiological evidence for the role of physical activity in reducing risk of type 2 diabetes and cardiovascular disease. , 2005, Journal of applied physiology.
[98] P. Raina,et al. Diagnosis, prognosis, and treatment of impaired glucose tolerance and impaired fasting glucose. , 2005, Evidence report/technology assessment.
[99] Michael Marmot,et al. Cohort Profile: the Whitehall II study. , 2005, International journal of epidemiology.
[100] Catrine Tudor-Locke,et al. Health benefits of a pedometer-based physical activity intervention in sedentary workers. , 2004, Preventive medicine.
[101] C. Fischbacher,et al. How physically active are South Asians in the United Kingdom? A literature review. , 2004, Journal of public health.
[102] Nicholas H. Wolfinger. On writing fieldnotes: collection strategies and background expectancies , 2002 .
[103] S. Biddle,et al. A Meta-Analytic Review of the Theories of Reasoned Action and Planned Behavior in Physical Activity: Predictive Validity and the Contribution of Additional Variables , 2002 .
[104] P. Gollwitzer. Implementation intentions: Strong effects of simple plans. , 1999 .
[105] A Dijkstra,et al. The development of computer-generated tailored interventions. , 1999, Patient education and counseling.
[106] P S Freedson,et al. Calibration of the Computer Science and Applications, Inc. accelerometer. , 1998, Medicine and science in sports and exercise.
[107] Paul Kind,et al. Variations in population health status: results from a United Kingdom national questionnaire survey , 1998, BMJ.
[108] Benjamin Kuipers,et al. A Description of Think Aloud Method and Protocol Analysis , 1993 .
[109] R. Snaith,et al. The Hospital Anxiety And Depression Scale , 2003, Health and quality of life outcomes.
[110] A. Bandura. Self-efficacy: toward a unifying theory of behavioral change. , 1977, Psychological review.
[111] A. Brennan,et al. Systematic Review and Meta-Analysis of Randomised Controlled Trials of Psychological Interventions to Improve Glycaemic Control in Adults with Type 2 Diabetes , 2019, Social Science Research Network.
[112] M. Suhrcke,et al. Cost-Effectiveness and Value of Information Analysis of Brief Interventions to Promote Physical Activity in Primary Care. , 2018, Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research.
[113] Lena Osterhagen,et al. Multiple Imputation For Nonresponse In Surveys , 2016 .
[114] Ulf Ekelund,et al. Estimating physical activity energy expenditure, sedentary time, and physical activity intensity by self-report in adults. , 2010, The American journal of clinical nutrition.
[115] Robert J. Vallerand,et al. A hierarchical model of intrinsic and extrinsic motivation for sport and physical activity. , 2007 .
[116] Zygimantas Cepaitis,et al. Physical activity in the prevention of type 2 diabetes: the Finnish diabetes prevention study. , 2005, Diabetes.
[117] C. Tudor-Locke,et al. How Many Steps/Day Are Enough? , 2004, Sports medicine.