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Hesketh K, Low J, Andrews R, Blitz S, Buckley B, Falkenhain K, Job J, Jones CA, Jones H, Jung ME, Little J, Mateus C, Percival SL, Pulsford R, Russon CL, Singer J, Sprung VS, McManus AM, Cocks M. Mobile Health Biometrics to Enhance Exercise and Physical Activity Adherence in Type 2 Diabetes (MOTIVATE-T2D): a decentralised feasibility randomised controlled trial delivered across the UK and Canada. BMJ Open 2025; 15:e092260. [PMID: 40139900 PMCID: PMC12004491 DOI: 10.1136/bmjopen-2024-092260] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2024] [Accepted: 02/28/2025] [Indexed: 03/29/2025] Open
Abstract
OBJECTIVES Assess the feasibility of a mobile health (mHealth)-supported home-delivered physical activity (PA) intervention (MOTIVATE-T2D) in people with recently diagnosed type 2 diabetes (T2D). DESIGN Feasibility multicentre, parallel group, randomised controlled trial (RCT). SETTING Participants were recruited from England and Canada using a decentralised design. PARTICIPANTS Adults (40-75 years) recently diagnosed with T2D (5-24 months). INTERVENTIONS Participants were randomised 1:1 to intervention (MOTIVATE-T2D) or active control groups. Participants codesigned 6month- home-delivered, personalised, progressive PA programmes supported by virtual behavioural counselling. MOTIVATE-T2D used biofeedback from wearable technologies to support the programme. The active control group received the same intervention without wearables. OUTCOMES The primary outcomes were recruitment rate, retention and adherence to purposeful exercise. Clinical data on effectiveness were collected as exploratory outcomes at baseline, 6 and 12 months, with HbA1c and systolic blood pressure (BP) proposed as primary outcomes for a future full RCT. RESULTS n=135 eligible participants expressed an interest in the trial, resulting in 125 participants randomised (age 55±9 years, 48% female, 81% white), a recruitment rate of 93%. Retention at 12 months was 82%. MOTIVATE-T2D participants were more likely to start (OR 10.4, CI 3.4 to 32.1) and maintain purposeful exercise at 6 (OR 7.1, CI 3.2 to 15.7) and 12 months (OR 2.9, CI 1.2 to 7.4). Exploratory clinical outcomes showed a potential effect in favour of MOTIVATE-T2D, including proposed primary outcomes HbA1c and systolic BP (between-group mean differences: HbA1c: 6 months: -5% change from baseline, CI -10 to 2: 12 months: -2% change from baseline, CI -8 to -4; systolic BP: 6 months: -1 mm Hg, CI -5 to 3: 12 months: -4 mm Hg, CI -8 to 1). CONCLUSIONS Our findings support the feasibility of delivering the MOTIVATE-T2D mHealth-supported PA intervention for people with recently diagnosed T2D and progression to a full RCT to examine its clinical and cost-effectiveness. TRIAL REGISTRATION NUMBER ISRCTN: 14335124; ClinicalTrials.gov: NCT0465353.
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Affiliation(s)
- Katie Hesketh
- School of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, Birmingham, UK
- Research Institute for Sport and Exercise Science, Liverpool John Moores University, Liverpool, UK
| | - Jonathan Low
- School of Health and Exercise Sciences, The University of British Columbia, Kelowna, British Columbia, Canada
| | - Robert Andrews
- Exeter Medical School, University of Exeter, Exeter, UK
- Department of Diabetes, Taunton and Somerset NHS Foundation Trust, Taunton, UK
| | - Sandra Blitz
- Centre for Advancing Health Outcomes, Vancouver, British Columbia, Canada
| | - Benjamin Buckley
- Research Institute for Sport and Exercise Science, Liverpool John Moores University, Liverpool, UK
- Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart & Chest Hospital, Liverpool, UK
| | - Kaja Falkenhain
- School of Health and Exercise Sciences, The University of British Columbia, Kelowna, British Columbia, Canada
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, Louisiana, USA
| | - Jennifer Job
- School of Health and Exercise Sciences, The University of British Columbia, Kelowna, British Columbia, Canada
- The Mater Research Institute, The University of Queensland, Brisbane, Queensland, Australia
| | - Charlotte A Jones
- Faculty of Medicine, The University of British Columbia, Kelowna, British Columbia, Canada
| | - Helen Jones
- Research Institute for Sport and Exercise Science, Liverpool John Moores University, Liverpool, UK
| | - Mary E Jung
- School of Health and Exercise Sciences, The University of British Columbia, Kelowna, British Columbia, Canada
| | - Jonathan Little
- School of Health and Exercise Sciences, The University of British Columbia, Kelowna, British Columbia, Canada
| | - Ceu Mateus
- Health Economics, Division of Health Research, Lancaster University, Lancaster, UK
| | - Sarah L Percival
- School of Health and Exercise Sciences, The University of British Columbia, Kelowna, British Columbia, Canada
| | - Richard Pulsford
- Public Health and Sports Science, University of Exeter, Exeter, UK
| | | | - Joel Singer
- Centre for Advancing Health Outcomes, Vancouver, British Columbia, Canada
| | - Victoria S Sprung
- Research Institute for Sport and Exercise Science, Liverpool John Moores University, Liverpool, UK
- Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart & Chest Hospital, Liverpool, UK
| | - Alison M McManus
- School of Health and Exercise Sciences, The University of British Columbia, Kelowna, British Columbia, Canada
| | - Matthew Cocks
- Research Institute for Sport and Exercise Science, Liverpool John Moores University, Liverpool, UK
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Tsai K, Chu C, Huang W, Sui X, Lavie CJ, Lin G. The combined effect of cardiorespiratory and muscular fitness on the incidence of metabolic syndrome before midlife. J Cachexia Sarcopenia Muscle 2024; 15:1483-1490. [PMID: 38845599 PMCID: PMC11294051 DOI: 10.1002/jcsm.13503] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2023] [Revised: 03/01/2024] [Accepted: 04/10/2024] [Indexed: 08/03/2024] Open
Abstract
BACKGROUND Cardiorespiratory fitness (CRF) could reduce the risk of metabolic syndrome (MetS) while the association between muscular endurance capacity (MEC) and incident MetS has rarely been investigated in young adults. METHODS A total of 2890 military men and women, aged 18-39 years, free of baseline MetS in Taiwan, were followed for incident MetS from baseline (2014) until the end of 2020. All subjects received annual health examinations for assessment of MetS. Physical fitness was assessed by CRF (estimated maximal oxygen uptake, VO2 max [mL/kg/min], in a 3000-m run) and MEC (numbers of 2-min push-ups). MetS was defined according to the International Diabetes Federation (IDF) criteria. Multiple Cox regression analysis was conducted with adjustments for baseline age, sex, substance use status and physical activity to determine the associations of CRF and MEC with incidences of new-onset MetS and related features, for example, central obesity, hypertension, dyslipidaemia and prediabetes or diabetes. To examine the combined effects of CRF and MEC status on incidence of MetS, high and low levels of CRF and MEC were separately defined by over and under the sex-specific median in each exercise test. RESULTS During a median follow-up of 5.8 years, there were 673 (23.3%) new-onset MetS. Higher CRF was associated with a lower incidence of MetS (hazard ratio [HR] and 95% confidence interval: 0.905 [0.877-0.933]), and its components separately, except hypertension. No association was observed between MEC and incident MetS, and its components separately, except hypertension. When evaluating the combined effects of MEC and CRF status on the incidence of MetS, it was observed that compared with the low CRF/low MEC, the high CRF/high MEC (HR: 0.553 [0.439-0.697]) and the high CRF/low MEC (HR: 0.730 [0.580-0.918]) had a lower incidence of new-onset MetS (P value for the intergroup difference = 0.04). There was no significant result for the low CRF/high MEC. CONCLUSIONS This study highlights that although the protective effects of MEC to reduce the incidence of MetS and most of its related features were mainly driven by CRF in young adults, there was an addictive effect of greater MEC on CRF to prevent the development of new-onset MetS before midlife.
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Affiliation(s)
- Kun‐Zhe Tsai
- Department of MedicineHualien Armed Forces General HospitalHualienTaiwan
- Department of Stomatology of PeriodontologyMackay Memorial HospitalTaipeiTaiwan
- Department of PeriodontologySchool of Dentistry, National Defense Medical Center and Tri‐Service General HospitalTaipeiTaiwan
| | - Chen‐Chih Chu
- Department of MedicineTri‐Service General Hospital and National Defense Medical CenterTaipeiTaiwan
| | - Wei‐Chun Huang
- College of MedicineNational Yang Ming Chiao Tung UniversityTaipeiTaiwan
- Department of Critical Care MedicineKaohsiung Veterans General HospitalKaohsiungTaiwan
| | - Xuemei Sui
- Department of Exercise Science, Arnold School of Public HealthUniversity of South CarolinaColumbiaSCUSA
| | - Carl J. Lavie
- John Ochsner Heart and Vascular Institute, Ochsner Clinical SchoolUniversity of Queensland School of MedicineNew OrleansLAUSA
| | - Gen‐Min Lin
- Department of MedicineHualien Armed Forces General HospitalHualienTaiwan
- Department of MedicineTri‐Service General Hospital and National Defense Medical CenterTaipeiTaiwan
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Xi H, Jing M, Sun Q, Wang Y, Zhu H, Zhou J. The relationship between different exercise conditions and pericoronary inflammation as quantified by coronary CTA in coronary artery disease. Heliyon 2024; 10:e25316. [PMID: 38352755 PMCID: PMC10861983 DOI: 10.1016/j.heliyon.2024.e25316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Revised: 12/21/2023] [Accepted: 01/24/2024] [Indexed: 02/16/2024] Open
Abstract
Objectives The correlation between exercise type and intensity and coronary artery inflammation in patients with stable coronary artery disease (CAD) is unknown. Therefore, this study assessed the relationship between coronary inflammation quantified by coronary computed tomography angiography (CCTA) and exercise intensity and pattern in patients with CAD. Materials and methods Patients who underwent CCTA between 2019 and 2023 in the second hospital of Lanzhou University were retrospectively examined. We calculated the pericoronary fat attenuation index (FAI) on the right coronary artery (RCA) as a marker of coronary inflammation. We compared basic information, exercise status, and RCA-FAI values between the two groups, and described the relationship between different exercise durations and RCA-FAI using analysis of variance and restricted cubic splines. Results In total, 1222 patients were included: 774 had no CAD and 448 patients had CAD. Sex (P = 0.016; odds ratio [OR]: 0.673), high-density lipoprotein (P = 0.006; OR: 0.601), low-density lipoprotein (P = 0.001; OR. 0.762), hypertension (P = 0.000; OR: 0.762), smoking (P = 0.005; OR: 0.670), and postprandial glucose (P = 0.030; OR: 0.812), household income (P = 0.038; OR:1.117), and body mass index (P = 0.000; OR:1.084) were the risk factors for elevated RCA-FAI values in the patients with coronary artery disease group. And when the exercise modality was running and aerobics, the correlation between RCA-FAI values and exercise time showed a "U"-shaped relationship. Follow-up revealed that short periods of high-intensity exercise resulted in lower RCA-FAI values. Conclusion RCA-FAI was significantly associated with coronary artery inflammation. Although appropriate physical activity reduced the risk of pericoronary inflammation and coronary atherosclerosis, overly prolonged exercise could exacerbate the coronary inflammatory response and increase the likelihood of CAD.
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Affiliation(s)
- Huaze Xi
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, China
- Second Clinical School, Lanzhou University, Lanzhou, China
- Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China
- Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - Mengyuan Jing
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, China
- Second Clinical School, Lanzhou University, Lanzhou, China
- Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China
- Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - Qiu Sun
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, China
- Second Clinical School, Lanzhou University, Lanzhou, China
- Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China
- Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - Yuanyuan Wang
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, China
- Second Clinical School, Lanzhou University, Lanzhou, China
- Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China
- Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - Hao Zhu
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, China
- Second Clinical School, Lanzhou University, Lanzhou, China
- Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China
- Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - Junlin Zhou
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, China
- Second Clinical School, Lanzhou University, Lanzhou, China
- Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China
- Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
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