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He Z, Hassan MA, Saiz-González P, Ryu S, Wang R, Gao Z. Smartphone app-based interventions on physical activity behaviors and psychological correlates in healthy young adults: A systematic review. PLoS One 2024; 19:e0301088. [PMID: 38578729 PMCID: PMC10997080 DOI: 10.1371/journal.pone.0301088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2023] [Accepted: 03/09/2024] [Indexed: 04/07/2024] Open
Abstract
BACKGROUND The issue of low physical activity (PA) levels among the youth is a longstanding concern. Smartphone applications offer a promising avenue for delivering interventions that are both accessible and engaging. Up to now, there appears to be a gap in the literature, with no systematic reviews assessing the efficacy of smartphone apps in encouraging increased physical activity among healthy young adults. OBJECTIVE To synthesize the effects of a smartphone app-based intervention on PA and PA-related psychological correlates in healthy young adults (18-35 years old). METHODS A search was conducted on eighteen databases: PubMed, Medline, Web of Science, SPORTDiscus, Scopus, Academic Search Premier, Communication and Mass Media Complete, Article First, Biomed Central, BioOne, EBSCOHost, JSTOR, ProQuest, SAGE Reference Online, ScienceDirect, SpringerLink, Taylor&Francis, and Wiley Online. The search covered the period up until December 2023. This research included all randomized controlled trials (RCTs) that evaluated the effectiveness of smartphone app-based interventions on PA and PA related psychological outcomes in healthy young adults. The overall impact was determined by vote counting based on the direction of effect and aggregating p values. The quality of the evidence was evaluated using an 8-item scale. This study has been registered in the PROSPERO database with the identification number CRD42023390033. RESULTS A total of 8403 articles were retrieved, and based on the predefined inclusion and exclusion criteria, seven articles were selected for inclusion. Among these articles, four high-quality RCTs were identified, and the results of vote counting and combining p values methods suggested that smartphone-based app interventions did not demonstrate significant effectiveness in improving PA and PA-related psychological outcomes. However, some improvements were observed. The analysis results, which were categorized into fitness apps and health apps based on the characteristics of the interventions, also failed to demonstrate significant intervention effects. CONCLUSION The findings indicate that, currently, there are no significant effects of smartphone app interventions on improving PA and PA-related psychological outcomes in healthy young adults aged 18-35 years. It is important to note that these findings should be interpreted with caution due to the limited number of included studies. Future research should focus on employing high-quality study designs to determine the true effects of interventions and analyze various smartphone app interventions. These analyses should encompass different app characteristics (e.g., fitness app and health app), various combinations (e.g., fitness app alone and fitness app in combination with other interventions), diverse intervention goals (e.g., PA and PA along with other outcomes), and multiple intervention characteristics (e.g., frequency and duration).
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Affiliation(s)
- Zihao He
- School of Sport Science, Beijing Sport University, Haidian, Beijing, China
| | - Mohamed A. Hassan
- School of Kinesiology, University of Minnesota-Twin Cities, Minneapolis, Minnesota, United States of America
- Department of Methods and Curriculum, Physical Education College for Men, Helwan University, Cairo, Egypt
| | - Pablo Saiz-González
- Faculty of Teacher Training and Education, University of Oviedo, Asturias, Spain
| | - Suryeon Ryu
- School of Kinesiology, University of Minnesota-Twin Cities, Minneapolis, Minnesota, United States of America
| | - Ronghui Wang
- School of Sport Science, Beijing Sport University, Haidian, Beijing, China
| | - Zan Gao
- Department of Kinesiology, Recreation, and Sport Studies, The University of Tennessee, Knoxville, Tennessee, United States of America
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Oginni J, Otinwa G, Gao Z. Physical Impact of Traditional and Virtual Physical Exercise Programs on Health Outcomes among Corporate Employees. J Clin Med 2024; 13:694. [PMID: 38337388 PMCID: PMC10856341 DOI: 10.3390/jcm13030694] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2023] [Revised: 01/20/2024] [Accepted: 01/23/2024] [Indexed: 02/12/2024] Open
Abstract
Background: Technology-based exercise programs have the potential to reduce chronic disease prevalence and obesity-related risks. This research focuses on the impact of both traditional and virtual exercise programs on the health metrics of corporate employees. Methods: The study involved 30 corporate employees (16 females, average age ± SD = 37.8 ± 8.8 years) from Nigeria, who were divided into two experimental groups (one experiencing traditional exercises with an on-site trainer, and the other participating in live, virtual classes via Zoom) and a control group continuing usual practices. The 6-week intervention measured several health outcomes, including resting heart rate, blood pressure (both diastolic and systolic), body mass index (BMI), waist circumference, and waist-hip ratio, both before and after the intervention. Results: One-way analysis of covariance yielded significantly greater decreases in the diastolic blood pressure, F(2,27) = 3.7, p < 0.04; systolic blood pressure F(2,27) = 3.5, p < 0.04, body mass index, F(2,26) = 7.8, p < 0.01, and waist circumference, F(2,27) = 39.1, p < 0.01. Conclusions: The study concludes that virtual-based exercise programs are as effective as traditional ones. Offering a virtual exercise option provides flexibility, potentially increasing adherence to exercise routines among corporate workers.
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Affiliation(s)
- John Oginni
- Department of Kinesiology, Recreation, and Sport Studies, The University of Tennessee, Knoxville, TN 37996, USA;
| | - Grace Otinwa
- Department of Human Kinetics and Health Education, University of Lagos, Lagos 101017, Nigeria;
| | - Zan Gao
- Department of Kinesiology, Recreation, and Sport Studies, The University of Tennessee, Knoxville, TN 37996, USA;
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Zhou L, Deng X, Xu M, Wu Y, Shang X, E F, Wang Y, Liang S, Yang K, Li X. The effects of active workstations on reducing work-specific sedentary time in office workers: a network meta-analysis of 23 randomized controlled trials. Int J Behav Nutr Phys Act 2023; 20:92. [PMID: 37501138 PMCID: PMC10375647 DOI: 10.1186/s12966-023-01467-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Accepted: 05/18/2023] [Indexed: 07/29/2023] Open
Abstract
BACKGROUND Active workstations have been proposed as a feasible approach for reducing occupational sedentary time. This study used a network meta-analysis (NMA) to assess and compare the overall efficacy of active workstation interventions according to type and concomitant strategy for reducing work-specific sitting time in office workers. METHODS PubMed, Web of Science, EMBASE, and Cochrane Central Register of Controlled Trials (CENTRAL) databases were searched from database inception until May 2022 to obtain randomized controlled trials (RCTs) assessing the efficacy of active workstations with or without concomitant strategies for reducing occupational sedentary time in office workers. The risk of bias of the RCTs included in this study was assessed according to the Cochrane Handbook. An NMA with STATA 15.1 was used to construct a network diagram, league figures, and the final surface under the cumulative ranking curve (SUCRA) values. The certainty of evidence was assessed using the grading of recommendations, assessment, development, and evaluation (GRADE) approach. RESULTS A total of 23 eligible studies including eight different types of interventions with 1428 office workers were included. NMA results showed that compared to a typical desk, multicomponent intervention (standardized mean difference (SMD) = - 1.50; 95% confidence interval (CI) - 2.17, - 0.82; SUCRA = 72.4%), sit-stand workstation + promotion (Reminders of rest breaks, posture variation, or incidental office activity) (SMD = - 1.49; 95%CI - 2.42, - 0.55; SUCRA = 71.0%), treadmill workstation + promotion (SMD = - 1.29; 95%CI - 2.51, - 0.07; SUCRA = 61.6%), and sit-stand workstation (SMD = - 1.10, 95%CI - 1.64, - 0.56; SUCRA = 50.2%) were effective in reducing occupational sedentary time for office workers. CONCLUSIONS Multicomponent intervention, sit-stand workstation + promotion, treadmill workstation + promotion, and sit-stand workstation appear to be effective in reducing work-specific sedentary time for office workers. Furthermore, multicomponent interventions and active workstations + promotion better reduced work-specific sedentary time than active workstation alone. However, the overall certainty of the evidence was low. TRIAL REGISTRATION Our study protocol was registered with the International Prospective Register of Systematic Reviews (PROSPERO); registration number: CRD42022344432.
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Affiliation(s)
- Liying Zhou
- Health Technology Assessment Center/Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, 199 Donggang West Road, Lanzhou, 730000, China
- Evidence Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, 199 Donggang West Road, Lanzhou, 730000, China
- Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, 730000, China
| | - Xinxin Deng
- Health Technology Assessment Center/Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, 199 Donggang West Road, Lanzhou, 730000, China
- Evidence Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, 199 Donggang West Road, Lanzhou, 730000, China
- Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, 730000, China
| | - Meng Xu
- Health Technology Assessment Center/Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, 199 Donggang West Road, Lanzhou, 730000, China
- Evidence Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, 199 Donggang West Road, Lanzhou, 730000, China
- Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, 730000, China
| | - Yanan Wu
- Health Technology Assessment Center/Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, 199 Donggang West Road, Lanzhou, 730000, China
- Evidence Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, 199 Donggang West Road, Lanzhou, 730000, China
- Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, 730000, China
| | - Xue Shang
- Health Technology Assessment Center/Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, 199 Donggang West Road, Lanzhou, 730000, China
- Evidence Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, 199 Donggang West Road, Lanzhou, 730000, China
- Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, 730000, China
| | - Fenfen E
- Health Technology Assessment Center/Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, 199 Donggang West Road, Lanzhou, 730000, China
- Evidence Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, 199 Donggang West Road, Lanzhou, 730000, China
- Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, 730000, China
| | - Yongsheng Wang
- Health Technology Assessment Center/Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, 199 Donggang West Road, Lanzhou, 730000, China
- Evidence Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, 199 Donggang West Road, Lanzhou, 730000, China
- Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, 730000, China
| | - Shanshan Liang
- Health Technology Assessment Center/Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, 199 Donggang West Road, Lanzhou, 730000, China
- Evidence Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, 199 Donggang West Road, Lanzhou, 730000, China
- Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, 730000, China
| | - Kehu Yang
- Evidence Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, 199 Donggang West Road, Lanzhou, 730000, China.
- Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, 730000, China.
| | - Xiuxia Li
- Health Technology Assessment Center/Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, 199 Donggang West Road, Lanzhou, 730000, China.
- Evidence Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, 199 Donggang West Road, Lanzhou, 730000, China.
- Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, 730000, China.
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Zhou L, Deng X, Guo K, Hou L, Hui X, Wu Y, Xu M, Wang Y, Liang S, Yang K, Li X. Effectiveness of Multicomponent Interventions in Office-Based Workers to Mitigate Occupational Sedentary Behavior: Systematic Review and Meta-Analysis. JMIR Public Health Surveill 2023; 9:e44745. [PMID: 37494100 PMCID: PMC10413238 DOI: 10.2196/44745] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 04/12/2023] [Accepted: 05/24/2023] [Indexed: 07/27/2023] Open
Abstract
BACKGROUND Sedentary time in workplaces has been linked to increased risks of chronic occupational diseases, obesity, and overall mortality. Currently, there is a burgeoning research interest in the implementation of multicomponent interventions aimed at decreasing sedentary time among office workers, which encompass a comprehensive amalgamation of individual, organizational, and environmental strategies. OBJECTIVE This meta-analysis aims at evaluating the effectiveness of multicomponent interventions to mitigate occupational sedentary behavior at work compared with no intervention. METHODS PubMed, Web of Science, EMBASE, and Cochrane Central Register of Controlled Trials (CENTRAL) databases were searched from database inception until March 2023 to obtain randomized controlled trials (RCTs) assessing the efficacy of multicomponent interventions on occupational sedentary behavior among office-based workers. Two reviewers independently extracted the data and assessed the risk of bias by using the Cochrane Collaboration's risk of bias tool. The average intervention effect on sedentary time was calculated using Stata 15.1. Mean differences (MDs) with 95% CIs were used to calculate the continuous variables. Subgroup analyses were performed to determine whether sit-stand workstation, feedback, and prompt elements played an important role in multicomponent interventions. Further, the GRADE (Grading of Recommendations, Assessment, Development, and Evaluation) system was used to evaluate the certainty of evidence. RESULTS A total of 11 RCTs involving 1894 patients were included in the analysis. Five studies were rated as low risk of bias, 2 as unclear risk of bias, and 4 as high risk. The meta-analysis results showed that compared with no intervention, multicomponent interventions significantly reduced occupational sitting time (MD=-52.25 min/8-h workday, 95% CI -73.06 to -31.44; P<.001) and occupational prolonged sitting time (MD=-32.63 min/8-h workday, 95% CI -51.93 to -13.33; P=.001) and increased occupational standing time (MD=44.30 min/8-h workday, 95% CI 23.11-65.48; P<.001), whereas no significant differences were found in occupational stepping time (P=.06). The results of subgroup analysis showed that compared with multicomponent interventions without installment of sit-stand workstations, multicomponent interventions with sit-stand workstation installment showed better effects for reducing occupational sitting time (MD=-71.95 min/8-h workday, 95% CI -92.94 to -51.15), increasing occupational standing time (MD=66.56 min/8-h workday, 95% CI 43.45-89.67), and reducing occupational prolonged sitting time (MD=-47.05 min/8-h workday, 95% CI -73.66 to -20.43). The GRADE evidence summary showed that all 4 outcomes were rated as moderate certainty. CONCLUSIONS Multicomponent interventions, particularly those incorporating sit-stand workstations for all participants, are effective at reducing workplace sedentary time. However, given their cost, further research is needed to understand the effectiveness of low-cost/no-cost multicomponent interventions.
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Affiliation(s)
- Liying Zhou
- Health Technology Assessment Center/Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
- Key Laboratory of Evidence-Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, China
| | - Xinxin Deng
- Health Technology Assessment Center/Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
- Key Laboratory of Evidence-Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, China
| | - Kangle Guo
- Infection Management Section, Gansu Provincial Hospital, Lanzhou, China
| | - Liangying Hou
- Health Technology Assessment Center/Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
- Key Laboratory of Evidence-Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, China
| | - Xu Hui
- Health Technology Assessment Center/Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
- Key Laboratory of Evidence-Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, China
| | - Yanan Wu
- Health Technology Assessment Center/Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
- Key Laboratory of Evidence-Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, China
| | - Meng Xu
- Health Technology Assessment Center/Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
- Key Laboratory of Evidence-Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, China
| | - Yongsheng Wang
- Health Technology Assessment Center/Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
- Key Laboratory of Evidence-Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, China
| | - Shanshan Liang
- Health Technology Assessment Center/Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
- Key Laboratory of Evidence-Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, China
| | - Kehu Yang
- Health Technology Assessment Center/Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
- Key Laboratory of Evidence-Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, China
| | - Xiuxia Li
- Health Technology Assessment Center/Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
- Key Laboratory of Evidence-Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, China
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Bellanger W, Peurois M, Connan L, Navasiolava N, Missud D, Py T, Bègue C. Comparing physical activity prescription with verbal advice for general practice patients with cardiovascular risk factors: results from the PEPPER randomised controlled trial. BMC Public Health 2023; 23:1402. [PMID: 37475036 PMCID: PMC10360325 DOI: 10.1186/s12889-023-16302-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Accepted: 07/12/2023] [Indexed: 07/22/2023] Open
Abstract
BACKGROUND Regular physical activity improves health and quality of life for people with cardiovascular risk factors. However, few studies have demonstrated the applicability of strategies in health care to promote physical activity. OBJECTIVE To evaluate if a written physical activity prescription combined with pedometer increases physical activity over one year compared with verbal advice in patients with cardiovascular disease risk in primary care. METHODS The randomised-controlled, interventional, 12-month PEPPER study recruited patients aged 35 to 74 years, having quarterly followed-ups for hypertension, dyslipidaemia, or diabetes, and judged insufficiently active. Seventeen practices randomised patients into either the experimental group, who received a written, personalised prescription for daily step numbers, pedometer and logbook, or control group, who received verbal advice to do at least 15 min of rapid walking or equivalent daily. The primary outcome was the change in total weekly energy expenditure measured using an accelerometer at 3 months. The secondary outcomes were changes in step count, physical activity levels, quality of life, perceived obstacles to physical activity, and biomedical indicators at 3 and 12 months. RESULTS One hundred and twenty-one participants were randomised. Although, weekly energy expenditure did not differ between the prescription and verbal instruction group, the estimated time spent doing moderate-intensity activity was significantly higher in the prescription group than the verbal group by an average of four minutes/week (p = 0.018)(95% CI [0.7 - 7.4]) reaching 48 min after 12 months (95% CI: 8 - 89). Similarly, this was associated with a clinically, higher average step number of 5256 steps/week increase over a year (95% CI: 660 - 9852). Among the most sedentary subgroup, walking less than 5000 steps/day at baseline, an 8868 steps/week (95% CI [2988 - 14700]) increase was observed in the prescription group. CONCLUSION Prescribing physical activity did not significantly modify total weekly energy expenditure, but slightly increased moderate-intensity activity duration and step counts, particularly among the most sedentary participants. Prescribing personalised physical activity goals encourages sedentary patients to engage in physical activity. TRIAL REGISTRATION The PEPPER trial is registered in the US National Institutes of Health Clinical Trials Registry under number NCT02317003 (15/12/2014).
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Affiliation(s)
- William Bellanger
- Department of General Practice, University of Angers, 49000, Angers, France
| | - Matthieu Peurois
- Department of General Practice, University of Angers, 49000, Angers, France.
- University of Angers, Univ Rennes, EHESP, Inserm, IRSET-ESTER,, SFR ICAT, 49000, Angers, France.
| | - Laurent Connan
- Department of General Practice, University of Angers, 49000, Angers, France
| | - Nastassia Navasiolava
- University of Angers, CHU Angers, CRC, INSERM, CNRS, MITOVASC, Equipe CarMe, SFR ICAT, 49000, Angers, France
| | - David Missud
- Department of General Practice, University of Angers, 49000, Angers, France
| | - Thibaut Py
- Department of General Practice, University of Angers, 49000, Angers, France
| | - Cyril Bègue
- Department of General Practice, University of Angers, 49000, Angers, France
- University of Angers, Univ Rennes, EHESP, Inserm, IRSET-ESTER,, SFR ICAT, 49000, Angers, France
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