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Sakima A, Akagi Y, Akasaki Y, Fujii T, Haze T, Kawakami-Mori F, Kitajima K, Kobayashi Y, Matayoshi T, Sakaguchi T, Yamazato M, Abe M, Ohya Y, Arima H. Effectiveness of digital health interventions for telemedicine/telehealth for managing blood pressure in adults: a systematic review and meta-analysis. Hypertens Res 2024:10.1038/s41440-024-01792-7. [PMID: 38977877 DOI: 10.1038/s41440-024-01792-7] [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: 05/23/2024] [Accepted: 06/15/2024] [Indexed: 07/10/2024]
Abstract
This systematic review and meta-analysis included randomized controlled trials or observational studies that compare digital health interventions (DHIs) for telemedicine/telehealth versus usual care for managing blood pressure (BP) in adults. We searched PubMed, Cochrane CENTRAL, and IchuShi-Web, and used a random-effects meta-analysis of the weighted mean difference (MD) between the comparison groups to pool data from the included studies. The outcome included the pooled MD of office BP from baseline to each follow-up period. This meta-analysis considered 117 studies with 68677 participants as eligible. The 3-month intervention period reduced office systolic BP (SBP) compared with usual care in 38 studies (MD: -3.21 mmHg [95% confidence interval: -4.51 to -1.90]), with evidence of heterogeneity. Office SBP across intervention periods demonstrated comparable effects (3-, 6- [54 studies], 12- [43 studies], and >12-month periods [9 studies]). The benefits for office diastolic BP were similar to those for office SBP. Additionally, the interventions significantly reduced the office SBP compared with the control, regardless of the mode of intervention delivery (smartphone apps [38 studies], text messages [35 studies], and websites [34 studies]) or type of facility (medical [74 studies] vs. non-medical [33 studies]). The interventions were more effective in 41 hypertension cohorts compared with 66 non-hypertension cohorts (-4.81 mmHg [-6.33, -3.29] vs. -2.17 mmHg [-3.15, -1.19], P = 0.006 for heterogeneity). In conclusion, DHIs for telemedicine/telehealth improved BP management compared with usual care. The effectiveness with heterogeneity should be considered, as prudent for implementing evidence-based medicine. This meta-analysis considered 117 studies with 68677 participants eligible. The DHIs for telemedicine/telehealth reduced office BP compared with usual care, regardless of intervention duration, intervention delivery mode, facility type, and cohort type. Additionally, the DHIs reduced the risk of uncontrolled BP compared with usual care, regardless of intervention duration, intervention delivery mode, and facility type. BP blood pressure, DHI digital health intervention, MD mean difference, RR risk ratio, SBP systolic blood pressure.
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Affiliation(s)
- Atsushi Sakima
- Health Administration Center, University of the Ryukyus, Okinawa, Japan.
| | - Yuya Akagi
- Division of Health Sciences, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Yuichi Akasaki
- Department of Cardiovascular Medicine and Hypertension, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan
| | - Takako Fujii
- Department of Preventive Medicine and Public Health, Faculty of Medicine, Fukuoka University, Fukuoka, Japan
| | - Tatsuya Haze
- YCU Center for Novel and Exploratory Clinical Trials (Y-NEXT), Yokohama City University Hospital, Kanagawa, Japan
| | - Fumiko Kawakami-Mori
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Mitsui Memorial Hospital, Tokyo, Japan
| | - Ken Kitajima
- Department of Cardiology, Faculty of Medicine, Fukuoka University, Fukuoka, Japan
| | - Yusuke Kobayashi
- Co-Creation Innovation Center, Yokohama City University, Kanagawa, Japan
| | | | - Takashi Sakaguchi
- Department of Pediatrics, Faculty of Medicine, Fukuoka University, Fukuoka, Japan
| | | | - Makiko Abe
- Department of Preventive Medicine and Public Health, Faculty of Medicine, Fukuoka University, Fukuoka, Japan
| | - Yusuke Ohya
- University Hospital of the Ryukyus, Okinawa, Japan
| | - Hisatomi Arima
- Department of Preventive Medicine and Public Health, Faculty of Medicine, Fukuoka University, Fukuoka, Japan
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Shen S, Salehi E, White C, Chen Y, Iyengar NM. Evaluation of a mobile behavior change program for weight loss in breast cancer survivors. NPJ Breast Cancer 2024; 10:53. [PMID: 38951532 PMCID: PMC11217495 DOI: 10.1038/s41523-024-00659-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Accepted: 06/14/2024] [Indexed: 07/03/2024] Open
Abstract
Post-diagnosis weight gain is common in early-stage breast cancer and is associated with increased risk of recurrence and mortality. Intentional weight loss is difficult to maintain, and digital lifestyle interventions may provide a scalable approach to address this challenge. In this prospective single-arm study (ClinicalTrials.gov NCT04753268; February 15, 2021), key eligibility criteria included: stage I-III breast cancer, body mass index (BMI) ≥ 27.5 kg/m2, and completion of cancer treatment ≥6 months before study enrollment. Participants were provided with a behavioral change mobile application (Noom®). The primary endpoint was a change in self-reported weight from baseline to 26 weeks. Secondary endpoints included engagement, changes in physical activity, dietary patterns, and patient-reported outcomes (PRO). In total, 31 patients were enrolled (mean age 56.8 ± 9.9, mean baseline BMI 33.5 kg/m2 ± 6.5). The mean weight change was -4.8 kg ( ± 4.4, P < 0.001), mean percent weight change was -5.6% ( ± 5.0%); 11/31 patients (35.5%) lost ≥5% of their initial weight. Metrics of digital application engagement associated with weight loss ≥5% included articles read (P = 0.012), weights logged (P = 0.006), food records logged (P = 0.001), messages sent (P = 0.001), and application open count (P = 0.014). Significant increases were seen in mean daily step count (P = 0.004), GPAQ scores (P = 0.002), and Body Image Scale scores (P < 0.001). Mean energy intake remained consistently in a calorie-restricted range of 1300-1400 kcal/day. In this study, breast cancer survivors were highly engaged with a behavioral change smartphone application which led to clinically significant weight loss, increased physical activity, maintenance of an energy-restricted diet, and improvements in body image.
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Affiliation(s)
- Sherry Shen
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medicine, New York, NY, USA
| | - Erica Salehi
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Charlie White
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Yuan Chen
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Neil M Iyengar
- Memorial Sloan Kettering Cancer Center, New York, NY, USA.
- Weill Cornell Medicine, New York, NY, USA.
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Pala D, Petrini G, Bosoni P, Larizza C, Quaglini S, Lanzola G. Smartphone applications for nutrition Support: A systematic review of the target outcomes and main functionalities. Int J Med Inform 2024; 184:105351. [PMID: 38295584 DOI: 10.1016/j.ijmedinf.2024.105351] [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: 10/17/2023] [Revised: 01/24/2024] [Accepted: 01/26/2024] [Indexed: 02/02/2024]
Abstract
INTRODUCTION A proper nutrition is essential for human life. Recently, special attention on this topic has been given in relation to three health statuses: obesity, malnutrition and specific diseases that can be related to food or treated with specific diets. Mobile technology is often used to assist users that wish to regulate their eating habits, and identifying which fields of application have been explored the most by the app developers and which main functionalities have been adopted can be useful in view of future app developments. METHODS We selected 322 articles mentioning nutrition support apps through a literature database search, all of which have undergone an initial screening. After the exclusion of papers that were already reviews, not presenting apps or not focused on nutrition, not relevant or not developed for human subjects, 100 papers were selected for subsequent analyses that aimed at identifying the main treated conditions, outcome measures and functionalities implemented in the Apps. RESULTS Of the selected studies, 33 focus on specific diseases, 24 on obesity, 2 on malnutrition and 41 on other targets (e.g., weight/diet control). Type 2 diabetes is the most targeted disease, followed by gestational diabetes, hypertension, colorectal cancer and CVDs which all were targeted by more than one app. Most Apps include self-monitoring and coaching functionalities, educational content and artificial intelligence (AI) tools are slightly less common, whereas counseling, gamification and questionnaires are the least implemented. Body weight and calories/nutrients were the most common general outcome measures, while glycated hemoglobin (HbA1c) was the most common clinical outcome. No statistically significant differences in the effectiveness of the different functionalities were found. CONCLUSION The use of mobile technology to improve nutrition has been widely explored in the last years, especially for weight control and specific diseases like diabetes; however, other food-related conditions such as Irritable Bowel Diseases appear to be less targeted by newly developed smartphone apps and their related studies. All different kinds of functionalities appear to be equally effective, but further specific studies are needed to confirm the results.
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Affiliation(s)
- Daniele Pala
- Department of Computer, Electrical and Biomedical Engineering, University of Pavia, Pavia, Italy; Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
| | - Giorgia Petrini
- Department of Computer, Electrical and Biomedical Engineering, University of Pavia, Pavia, Italy
| | - Pietro Bosoni
- Department of Computer, Electrical and Biomedical Engineering, University of Pavia, Pavia, Italy
| | - Cristiana Larizza
- Department of Computer, Electrical and Biomedical Engineering, University of Pavia, Pavia, Italy
| | - Silvana Quaglini
- Department of Computer, Electrical and Biomedical Engineering, University of Pavia, Pavia, Italy
| | - Giordano Lanzola
- Department of Computer, Electrical and Biomedical Engineering, University of Pavia, Pavia, Italy
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Kim KB, Choe H, Sung H. Effects of Individualized Exercise on Risk Factors of Metabolic Syndrome: A Scoping Review. J Obes Metab Syndr 2024; 33:20-26. [PMID: 38185697 PMCID: PMC11000518 DOI: 10.7570/jomes23020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Revised: 08/07/2023] [Accepted: 11/29/2023] [Indexed: 01/09/2024] Open
Abstract
Exercise intervention is effective in alleviating the severity of metabolic syndrome (MetS). However, the results of previous studies on the effect of exercise on MetS have demonstrated considerable individual variability in response to a specific dose of exercise, which was attributed to the lack of a personalized approach to exercise prescription. It is essential to consider individual factors to enhance the effectiveness of exercise in addressing MetS. This scoping review assesses the effectiveness of individualized exercise on the risk factors associated with MetS. Various databases and articles were examined based on eligibility criteria and nine studies were chosen for this review. Personal and adjusted factors were predominantly analyzed to tailor exercise prescriptions to individual needs. This review proposes that personal factors can be classified into three categories: fixed factors, adaptation factors, and response factors, considering both clinical and exercise science perspectives. It also suggests that a two-way communication approach between specialists and individuals is more effective for prescribing exercise to address MetS compared to a one-way method. A one-way communication approach relies solely on an expert's decision, even whether or not he or she fully considers a client's lifestyle and preferences. If the individualized selection of exercise prescriptions is achieved through two-way communication between specialists and subjects, significant improvements can be expected in terms of both MetS severity and exercise adherence.
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Affiliation(s)
- Kyoung-Bae Kim
- Department of Physical Education, Korea Military Academy, Seoul, Korea
| | - Harim Choe
- Department of Physical Education, Korea Military Academy, Seoul, Korea
| | - Hoyong Sung
- Department of Physical Education, Korea Military Academy, Seoul, Korea
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Kim SH, Kim YH, Lee CH, Lee Y. Smartphone usage and overdependence risk among middle-aged and older adults: a cross-sectional study. BMC Public Health 2024; 24:413. [PMID: 38331734 PMCID: PMC10854068 DOI: 10.1186/s12889-024-17873-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Accepted: 01/24/2024] [Indexed: 02/10/2024] Open
Abstract
BACKGROUND Previous studies have predominantly focused on smartphone overdependence among adolescents and young adults. However, as smartphone usage has recently surged among South Korean middle-aged and older adults, the risk of smartphone overdependence cannot be overlooked among this population. Therefore, this study was conducted to examine the smartphone usage pattern and the associated risk of overdependence in this specific age group. METHODS The data for individuals who aged 50 or older were extracted from the dataset of a nationwide survey, "The Survey on Smartphone Overdependence, 2021," and the usage of each type of smartphone content and risk of smartphone overdependence among individuals in their 50 s and 60 s were investigated. Age-group-based differences in demographic characteristics, Smartphone Overdependence Scale scores, self-awareness of smartphone overdependence, digital literacy, and psychosocial factors were analyzed. Additionally, a multivariable logistic regression analysis was conducted to explore the factors associated with the potential-to-high risk of smartphone overdependence in both age groups. RESULTS Individuals in their 50s had significantly higher digital literacy, social relations, life satisfaction, and smartphone overdependence scores than those in their 60s, and the percentage of individuals in the high-risk group was also higher in the 50s age group. For both age groups, the most used content was "messenger," "news," and "movies/TV/videos," whereas the least used content was e-learning, gambling, and adult content. The multivariable analysis indicated that, for individuals in their 50s, having a lower educational level was associated with significantly higher odds, whereas having a job and utilizing e-commerce-related contents on smartphone were associated with significantly lower odds of potential-to-high risk for smartphone overdependence. Concerning individuals in their 60s, having a lower educational level and using adult content or gambling were significantly associated with higher odds of potential-to-high risk for smartphone overdependence. CONCLUSION This study reveals the risk of smartphone overdependence among middle-aged and older adults in South Korea as well as the associated risk factors. This will assist policymakers in developing policies for the appropriate use of smartphones by these age groups.
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Affiliation(s)
- Su Hyun Kim
- Pukyong National University, Industry-University Cooperation Foundation, #45 Yongso-Ro, Nam-Gu, Busan, # 48513, Republic of Korea
| | - Young Hoon Kim
- Department of Marine Sports, College of Information Technology and Convergence, Pukyong National University, #45 Youngso-Ro, Nam-Gu, Busan, # 48513, Republic of Korea.
| | - Chang-Hyung Lee
- Department of Physical Medicine & Rehabilitation, Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, #20 Keumoro, Mulgeum, Yangsan, Gyeongnam, # 50612, Republic of Korea.
| | - YounYoung Lee
- Woon-Gok Liberal Arts Education College, Halla University, 28 Halla University-Gil, Wonju-Si, Gangwondo, # 26404, Republic of Korea
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Wong EML, Leung DYP, Wang Q, Leung AYM, Cheung ASP. The effect of a lifestyle intervention program using a mobile application versus the effect of a program using a booklet for adults with metabolic syndrome: A three-arm randomized controlled trial. J Nurs Scholarsh 2023; 55:936-948. [PMID: 36896916 DOI: 10.1111/jnu.12883] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 02/01/2023] [Accepted: 02/14/2023] [Indexed: 03/11/2023]
Abstract
PURPOSE The research aimed to examine the effect of a lifestyle intervention program using mobile application versus booklet for adults with metabolic syndrome in Hong Kong. The outcomes comprised body weight (primary outcome), exercise amount, improvement of cardiometabolic risk factors, cardiovascular endurance, perceived stress scale, and exercise self-efficacy. DESIGN A three-arm randomized controlled trial namely App group, Booklet group, and control group was adopted. METHODS Two hundred sixty-four adults with metabolic syndrome were recruited from community centers from 2019 to December 2021. Inclusion criteria are those adults with metabolic syndrome, able to use a smart phone. All participants received a 30-min health talk. App group additionally received a mobile application, while Booklet group received a booklet, and the control group received a placebo booklet. Data were collected at baseline, Weeks 4, 12, and 24. SPSS and generalized estimating equations (GEE) model were employed for data analysis. FINDINGS Attrition rates were minimal, ranged from 2.65% to 6.44%. Both app and booklet group showed significant improvement in outcomes (exercise amount, waist circumference) when compared to control group. However, statistically significant and superior results were observed in app group, including body weight, exercise amount, waist circumference, body mass index, and systolic blood pressure when compared to booklet group. CONCLUSION The lifestyle intervention supported with app was found to be superior to the booklet support for reducing body weight and maintaining exercise. CLINICAL RELEVANCE The lifestyle intervention program using mobile application support could be used widely for adults with metabolic syndrome in the community. Suggest nurses may incorporate this program in their health promotion strategies focusing on a healthy lifestyle to reduce the risk of progression to metabolic syndrome.
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Affiliation(s)
| | | | - Qun Wang
- School of Nursing, Shenzhen University, Shenzhen, China
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Siopis G, Moschonis G, Eweka E, Jung J, Kwasnicka D, Asare BYA, Kodithuwakku V, Willems R, Verhaeghe N, Annemans L, Vedanthan R, Oldenburg B, Manios Y. Effectiveness, reach, uptake, and feasibility of digital health interventions for adults with hypertension: a systematic review and meta-analysis of randomised controlled trials. Lancet Digit Health 2023; 5:e144-e159. [PMID: 36828607 DOI: 10.1016/s2589-7500(23)00002-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2022] [Revised: 12/15/2022] [Accepted: 01/04/2023] [Indexed: 02/24/2023]
Abstract
BACKGROUND Digital health interventions are effective for hypertension self-management, but a comparison of the effectiveness and implementation of the different modes of interventions is not currently available. This study aimed to compare the effectiveness of SMS, smartphone application, and website interventions on improving blood pressure in adults with hypertension, and to report on their reach, uptake, and feasibility. METHODS In this systematic review and meta-analysis we searched CINAHL Complete, Cochrane Central Register of Controlled Trials, Ovid Embase, Ovid MEDLINE, and APA PsycInfo on May 25, 2022, for randomised controlled trials (RCTs) published in English from Jan 1, 2009, that examined the effectiveness of digital health interventions on reducing blood pressure in adults with hypertension. Screening was carried out using Covidence, and data were extracted following Cochrane's guidelines. The primary endpoint was change in the mean of systolic blood pressure. Risk of bias was assessed with Cochrane Risk of Bias 2. Data on systolic and diastolic blood pressure reduction were synthesised in a meta-analysis, and data on reach, uptake and feasibility were summarised narratively. Grading of Recommendations, Assessment, Development, and Evaluation criteria were used to evaluate the level of evidence. The study was registered with PROSPERO CRD42021247845. FINDINGS Of the 3235 records identified, 29 RCTs from 13 regions (n=7592 participants) were included in the systematic review, and 28 of these RCTs (n=7092 participants) were included in the meta-analysis. 11 studies used SMS as the primary mode of delivery of the digital health intervention, 13 used smartphone applications, and five used websites. Overall, digital health intervention group participants had a -3·62 mm Hg (95% CI -5·22 to -2·02) greater reduction in systolic blood pressure, and a -2·45 mm Hg (-3·83 to -1·07) greater reduction in diastolic blood pressure, compared with control group participants. No statistically significant differences between the three different modes of delivery were observed for both the systolic (p=0·73) and the diastolic blood pressure (p=0·80) outcomes. Smartphone application interventions had a statistically significant reduction in diastolic blood pressure (-2·45 mm Hg [-4·15 to -0·74]); however, there were no statistically significant reductions for SMS interventions (-1·80 mm Hg [-4·60 to 1·00]) or website interventions (-3·43 mm Hg [-7·24 to 0·38]). Due to the considerable heterogeneity between included studies and the high risk of bias in some, the level of evidence was assigned a low overall score. Interventions were more effective among people with greater severity of hypertension at baseline. SMS interventions reported higher reach and smartphone application studies reported higher uptake, but differences were not statistically significant. INTERPRETATION SMS, smartphone application, and website interventions were associated with statistically and clinically significant systolic and diastolic blood pressure reductions, compared with usual care, regardless of the mode of delivery of the intervention. This conclusion is tempered by the considerable heterogeneity of included studies and the high risk of bias in most. Future studies need to describe in detail the mediators and moderators of the effectiveness and implementation of these interventions, to both further improve their effectiveness as well as increase their reach, uptake, and feasibility. FUNDING European Union's Horizon 2020 Research and Innovation Programme.
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Affiliation(s)
- George Siopis
- Department of Food, Nutrition and Dietetics, School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, VIC, Australia; Institute for Physical Activity and Nutrition, Deakin University, Geelong, VIC, Australia.
| | - George Moschonis
- Department of Food, Nutrition and Dietetics, School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, VIC, Australia
| | - Evette Eweka
- Department of Population Health, NYU Grossman School of Medicine, New York, NY, USA
| | - Jenny Jung
- Maternal, Child and Adolescent Health Program, Burnet Institute, Melbourne, VIC, Australia
| | - Dominika Kwasnicka
- NHMRC CRE in Digital Technology to Transform Chronic Disease Outcomes, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | | | - Vimarsha Kodithuwakku
- NHMRC CRE in Digital Technology to Transform Chronic Disease Outcomes, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Ruben Willems
- Department of Public Health and Primary Care, Faculty of Medicine, Ghent University, Ghent, Belgium
| | - Nick Verhaeghe
- Department of Public Health and Primary Care, Faculty of Medicine, Ghent University, Ghent, Belgium; Research Institute for Work and Society, HIVA KU Leuven, Leuven, Belgium
| | - Lieven Annemans
- Department of Public Health and Primary Care, Faculty of Medicine, Ghent University, Ghent, Belgium
| | - Rajesh Vedanthan
- Department of Population Health, NYU Grossman School of Medicine, New York, NY, USA
| | - Brian Oldenburg
- Academic and Research Collaborative in Health, La Trobe University, Melbourne, VIC, Australia; NHMRC CRE in Digital Technology to Transform Chronic Disease Outcomes, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Yannis Manios
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, Athens, Greece; Institute of Agri-food and Life Sciences, Hellenic Mediterranean University Research Centre, Heraklion, Greece
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Shiri R, Väänänen A, Mattila-Holappa P, Kauppi K, Borg P. The Effect of Healthy Lifestyle Changes on Work Ability and Mental Health Symptoms: A Randomized Controlled Trial. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:13206. [PMID: 36293787 PMCID: PMC9603567 DOI: 10.3390/ijerph192013206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Revised: 10/07/2022] [Accepted: 10/10/2022] [Indexed: 06/16/2023]
Abstract
OBJECTIVE The effects of lifestyle interventions on the prevention of a decline in work ability and mental health are not well known. The aim of this randomized controlled trial was to examine the effects of healthy lifestyle changes on work ability, sleep, and mental health. METHODS Workers aged 18-65 years, who were free from cardiovascular diseases, diabetes, and malignant diseases, and did not use medication for obesity or lipids were included (N = 319). Based on their cholesterol balance, participants were classified into medium-risk and high-risk groups and were randomized into four arms: group lifestyle coaching (N = 107), individual lifestyle coaching (N = 53), the control group for group coaching (N = 106), and the control group for individual coaching (N = 53). The intervention groups received eight sessions of mostly remote coaching for 8 weeks about healthy diet, physical activity, other lifestyle habits, and sources/management of stress and sleep problems, and the control groups received no intervention. In individual coaching, the coach focused more on individual problem solving and the possibilities for motivation and change. The intention-to-treat principle was applied, and missing data on the outcomes were imputed using multiple imputation. RESULTS After the completion of the intervention, the risk of depressive symptoms was lower by 53% (95% CI 1-77%) in participants who received individual lifestyle coaching compared with the control group. The intervention had no beneficial effects on anxiety, work ability, sleep duration, or daily stress. In subgroup analyses, group lifestyle coaching had beneficial effects on depressive symptoms and work ability in participants with less tight schedules or less stretching work, whereas individual lifestyle coaching lowered the risk of depressive symptoms in those with fewer overlapping jobs, less tight schedules, or less stretching work. CONCLUSION Short but intensive remote lifestyle coaching can reduce depressive symptoms and improve work ability, and time-related resources at work may improve mental health in the context of individual lifestyle intervention. However, further randomized controlled trials are needed to confirm the findings.
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Affiliation(s)
- Rahman Shiri
- Finnish Institute of Occupational Health, Työterveyslaitos, P.O. Box 40, FI-00032 Helsinki, Finland
| | - Ari Väänänen
- Finnish Institute of Occupational Health, Työterveyslaitos, P.O. Box 40, FI-00032 Helsinki, Finland
| | - Pauliina Mattila-Holappa
- Finnish Institute of Occupational Health, Työterveyslaitos, P.O. Box 40, FI-00032 Helsinki, Finland
| | | | - Patrik Borg
- Aisti Health Ltd., FI-00120 Helsinki, Finland
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Utilidad de una aplicación web interactiva en la mejora del control de los factores de riesgo cardiovascular. Proyecto Control-RCV. Semergen 2022; 48:411-422. [DOI: 10.1016/j.semerg.2022.04.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Revised: 04/11/2022] [Accepted: 04/23/2022] [Indexed: 11/22/2022]
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10
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Ho AS, Behr H, Mitchell ES, Yang Q, Lee J, May CN, Michaelides A. Goal language is associated with attrition and weight loss on a digital program: Observational study. PLOS DIGITAL HEALTH 2022; 1:e0000050. [PMID: 36812521 PMCID: PMC9931249 DOI: 10.1371/journal.pdig.0000050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Accepted: 04/24/2022] [Indexed: 06/18/2023]
Abstract
Behavioral weight loss reduces risk of weight-related health complications. Outcomes of behavioral weight loss programs include attrition and weight loss. There is reason to believe that individuals' written language on a weight management program may be associated with outcomes. Exploring associations between written language and these outcomes could potentially inform future efforts towards real-time automated identification of moments or individuals at high risk of suboptimal outcomes. Thus, in the first study of its kind, we explored whether individuals' written language in actual use of a program (i.e., outside of a controlled trial) is associated with attrition and weight loss. We examined two types of language: goal setting (i.e., language used in setting a goal at the start of the program) and goal striving (i.e., language used in conversations with a coach about the process of striving for goals) and whether they are associated with attrition and weight loss on a mobile weight management program. We used the most established automated text analysis program, Linguistic Inquiry Word Count (LIWC), to retrospectively analyze transcripts extracted from the program database. The strongest effects emerged for goal striving language. In striving for goals, psychologically distanced language was associated with more weight loss and less attrition, while psychologically immediate language was associated with less weight loss and higher attrition. Our results highlight the potential importance of distanced and immediate language in understanding outcomes like attrition and weight loss. These results, generated from real-world language, attrition, and weight loss (i.e., from individuals' natural usage of the program), have important implications for how future work can better understand outcomes, especially in real-world settings.
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Affiliation(s)
- Annabell Suh Ho
- Academic Research, Noom, Inc., New York, New York, United States of America
| | - Heather Behr
- Academic Research, Noom, Inc., New York, New York, United States of America
- Department of Integrative Health, Saybrook University, Pasadena, California, United States of America
| | | | - Qiuchen Yang
- Academic Research, Noom, Inc., New York, New York, United States of America
| | - Jihye Lee
- Department of Communication, Stanford University, Stanford, California, United States of America
| | - Christine N. May
- Academic Research, Noom, Inc., New York, New York, United States of America
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Hohberg V, Kreppke JN, Kohl J, Seelig E, Zahner L, Streckmann F, Gerber M, König D, Faude O. Effectiveness of a personal health coaching intervention (diabetescoach) in patients with type 2 diabetes: protocol for an open-label, pragmatic randomised controlled trial. BMJ Open 2022; 12:e057948. [PMID: 35649615 PMCID: PMC9161069 DOI: 10.1136/bmjopen-2021-057948] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
INTRODUCTION The widespread prevalence of type 2 diabetes (T2D) not only influences patients' daily lives but also has an economic impact on society. Increasing physical activity and a healthy diet can delay the progression of T2D. Although there are evidence-based recommendations on diet and physical activity, patients with T2D have difficulties implementing them. An appropriate lifestyle intervention can address this problem. METHODS AND ANALYSIS This study is based on the need to develop an intervention that helps patients to establish behavioural changes in order to achieve glycaemic control. The intervention will be evaluated in a monocentric, open-label, pragmatic, two-arm randomised controlled trial with a sample ratio of 1:1 and a parallel design. This superiority study will be conducted in Switzerland. All enrolled patients (n=90) will receive the standard medical treatment for T2D. The intervention group will receive personal health coaching by telephone and access to a smartphone and web application for 1 year. The control group will receive access to the application for 1 year and a one-time written diet and exercise recommendation. The primary outcomes are objectively measured physical activity and glycated haemoglobin. Secondary outcomes are self-reported physical activity, nutrition, cognitive mediators of changes in sport-related behaviour, blood values, medication and nutritional supplements, anthropometric data, quality of life, neuropathy and cost-effectiveness. All outcomes will be measured at baseline, at 27 weeks after inclusion and at 54 weeks after inclusion. The recruitment of participants and the measurements will be completed after 2 years. Linear mixed-effects models will be applied for each outcome variable to analyse the intervention effects. ETHICS AND DISSEMINATION This study was approved by the Ethics Committee North-western and Central Switzerland in February 2021 (ref: 2020-02755). All participants will be required to provide written informed consent. The results will be published in international peer-reviewed journals. TRIAL REGISTRATION NUMBER ISRCTN79457541.
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Affiliation(s)
- Vivien Hohberg
- Department of Sport, Exercise and Health, University of Basel, Basel, Switzerland
| | - Jan-Niklas Kreppke
- Department of Sport, Exercise and Health, University of Basel, Basel, Switzerland
| | - Jan Kohl
- Institute of Sports and Sport Science, University of Freiburg, Freiburg im Breisgau, Germany
| | - Eleonora Seelig
- Endocrinology, Diabetology and Metabolism, University Hospital Basel, Basel, Switzerland
- Endocrinology and Diabetology, Cantonal Hospital Basel-Landschaft, Liestal, Switzerland
| | - Lukas Zahner
- Department of Sport, Exercise and Health, University of Basel, Basel, Switzerland
| | - Fiona Streckmann
- Department of Sport, Exercise and Health, University of Basel, Basel, Switzerland
- Onkology, University Hospital Basel, Basel, Switzerland
| | - Markus Gerber
- Department of Sport, Exercise and Health, University of Basel, Basel, Switzerland
| | - Daniel König
- Institute of Sports and Sport Science, University of Freiburg, Freiburg im Breisgau, Germany
- Institute for Nutrition, Exercise and Health, University of Vienna, Wien, Austria
| | - Oliver Faude
- Department of Sport, Exercise and Health, University of Basel, Basel, Switzerland
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12
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Kruse C, Heinemann K. Facilitators and Barriers to the Adoption of Telemedicine During the First Year of COVID-19: Systematic Review. J Med Internet Res 2022; 24:e31752. [PMID: 34854815 PMCID: PMC8729874 DOI: 10.2196/31752] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Revised: 08/23/2021] [Accepted: 11/22/2021] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND The virulent and unpredictable nature of COVID-19 combined with a change in reimbursement mechanisms both forced and enabled the rapid adoption of telemedicine around the world. Thus, it is important to now assess the effects of this rapid adoption and to determine whether the barriers to such adoption are the same today as they were under prepandemic conditions. OBJECTIVE The objective of this systematic literature review was to examine the research literature published during the COVID-19 pandemic to identify facilitators, barriers, and associated medical outcomes as a result of adopting telemedicine, and to determine if changes have occurred in the industry during this time. METHODS The systematic review was performed in accordance with the Kruse protocol and the results are reported in accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. We analyzed 46 research articles from five continents published during the first year of the COVID-19 pandemic that were retrieved from searches in four research databases: PubMed (MEDLINE), CINAHL, Science Direct, and Web of Science. RESULTS Reviewers identified 25 facilitator themes and observations, 12 barrier themes and observations, and 14 results (compared to a control group) themes and observations. Overall, 22% of the articles analyzed reported strong satisfaction or satisfaction (zero reported a decline in satisfaction), 27% reported an improvement in administrative or efficiency results (as compared with a control group), 14% reported no statistically significant difference from the control group, and 40% and 10% reported an improvement or no statistically significant difference in medical outcomes using the telemedicine modality over the control group, respectively. CONCLUSIONS The pandemic encouraged rapid adoption of telemedicine, which also encouraged practices to adopt the modality regardless of the challenges identified in previous research. Several barriers remain for health policymakers to address; however, health care administrators can feel confident in the modality as the evidence largely shows that it is safe, effective, and widely accepted.
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Affiliation(s)
- Clemens Kruse
- School of Health Administration, Texas State University, San Marcos, TX, United States
| | - Katharine Heinemann
- School of Health Administration, Texas State University, San Marcos, TX, United States
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13
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Azelton KR, Crowley AP, Vence N, Underwood K, Morris G, Kelly J, Landry MJ. Digital Health Coaching for Type 2 Diabetes: Randomized Controlled Trial of Healthy at Home. Front Digit Health 2021; 3:764735. [PMID: 34901926 PMCID: PMC8655126 DOI: 10.3389/fdgth.2021.764735] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Accepted: 10/28/2021] [Indexed: 12/24/2022] Open
Abstract
Digital health coaching is an intervention for type 2 diabetes mellitus (T2DM) that has potential to improve the quality of care for patients. Previous research has established the efficacy of digital interventions for behavior change. This pilot study addresses a research gap in finding effective and accessible behavioral interventions for under-resourced individuals with T2DM. We examined the impact of Healthy at Home, a 12-week phone and SMS-based (short message service) digital health coaching program, on insulin resistance which is an upstream marker for T2DM progression. We compared this intervention to usual diabetic care in a family medicine residency clinic in a randomized controlled trial. Digital health coaching significantly improved participants' calculated Homeostatic Model Assessment for Insulin Resistance (HOMA2-IR) by −0.9 ± 0.4 compared with the control group (p = 0.029). This significance remained after controlling for years diagnosed with T2DM, enrollment in Medicaid, access to food, baseline stage of change, and race (p = 0.027). Increasing access to digital health coaching may lead to more effective control of diabetes for under-resourced patients. This study demonstrates the potential to implement a personalized, scalable, and effective digital health intervention to treat and manage T2DM through a lifestyle and behavioral approach to improve clinical outcomes (http://clinicaltrials.gov, NCT04872647).
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Affiliation(s)
- Kimberly R Azelton
- Beacon Health System, E. Blair Warner Family Medicine Residency, South Bend, IN, United States
| | - Aidan P Crowley
- Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, United States
| | | | | | - Gerald Morris
- Beacon Health System, E. Blair Warner Family Medicine Residency, South Bend, IN, United States
| | - John Kelly
- Preventive Medicine, School of Medicine, Loma Linda University, Loma Linda, CA, United States
| | - Matthew J Landry
- Stanford Prevention Research Center, School of Medicine, Stanford University, Palo Alto, CA, United States
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14
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Carter J, Mathers J, Fairweather‐Tait S, Jebb S, Sattar N, Jennings A, Minihane A. Medical Research Council Hot Topic workshop report: Planning a UK Nutrition and Healthy Life Expectancy Trial. NUTR BULL 2021. [DOI: 10.1111/nbu.12516] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Affiliation(s)
- Jennifer Carter
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU) Nuffield Department of Population Medicine University of Oxford Oxford UK
| | - John Mathers
- Human Nutrition Research Centre Population Health Sciences Institute Newcastle University Newcastle upon Tyne UK
| | | | - Susan Jebb
- Department of Primary Care Health Sciences University of Oxford Oxford UK
| | - Naveed Sattar
- Institute of Cardiovascular and Medical Sciences University of Glasgow Glasgow UK
| | - Amy Jennings
- Norwich Medical School University of East Anglia Norwich UK
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15
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Yang Q, Mitchell ES, Ho AS, DeLuca L, Behr H, Michaelides A. Cross-National Outcomes of a Digital Weight Loss Intervention in the United States, Canada, United Kingdom and Ireland, and Australia and New Zealand: A Retrospective Analysis. Front Public Health 2021; 9:604937. [PMID: 34178911 PMCID: PMC8222510 DOI: 10.3389/fpubh.2021.604937] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Accepted: 05/07/2021] [Indexed: 11/30/2022] Open
Abstract
Mobile health (mHealth) interventions are ubiquitous and effective treatment options for obesity. There is a widespread assumption that the mHealth interventions will be equally effective in other locations. In an initial test of this assumption, this retrospective study assesses weight loss and engagement with an mHealth behavior change weight loss intervention developed in the United States (US) in four English-speaking regions: the US, Australia and New Zealand (AU/NZ), Canada (CA), and the United Kingdom and Ireland (UK/IE). Data for 18,459 participants were extracted from the database of Noom's Healthy Weight Program. Self-reported weight was collected every week until program end (week 16). Engagement was measured using user-logged and automatically recorded actions. Linear mixed models were used to evaluate change in weight over time, and ANOVAs evaluated differences in engagement. In all regions, 27.2–33.2% of participants achieved at least 5% weight loss by week 16, with an average of 3–3.7% weight loss. Linear mixed models revealed similar weight outcomes in each region compared to the US, with a few differences. Engagement, however, significantly differed across regions (P < 0.001 on 5 of 6 factors). Depending on the level of engagement, the rate of weight loss over time differed for AU/NZ and UK/IE compared to the US. Our findings have important implications for the use and understanding of digital weight loss interventions worldwide. Future research should investigate the determinants of cross-country engagement differences and their long-term effects on intervention outcomes.
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Affiliation(s)
| | | | | | - Laura DeLuca
- Noom Inc., New York, NY, United States.,Ferkauf Graduate School of Psychology, Yeshiva University, Bronx, NY, United States
| | - Heather Behr
- Noom Inc., New York, NY, United States.,Department of Integrative Health, Saybrook University, Pasadena, CA, United States
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16
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Wong EML, Leung DYP, Tam HL, Wang Q, Yeung KW, Leung AYM. The Effect of a Lifestyle Intervention Program Using a Mobile Application for Adults with Metabolic Syndrome, versus the Effect of a Program Using a Booklet: A Pilot Randomized Controlled Trial. Clin Interv Aging 2021; 16:633-644. [PMID: 33888981 PMCID: PMC8057802 DOI: 10.2147/cia.s303920] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Accepted: 03/27/2021] [Indexed: 11/23/2022] Open
Abstract
Purpose This study aimed to examine the preliminary effect, feasibility, and acceptability of a lifestyle intervention program using a mobile application (app) versus the effect of a program using a booklet for adults with metabolic syndrome (MetS). Patients and Methods This trial was conducted in two community centers of Hong Kong. Participants were included if they were adults with MetS, aged over 50, and able to use a smartphone. Eligible subjects were randomly assigned to either the app group or booklet group. Those in the booklet group received a health talk and a booklet, whereas those in the app group received a health talk and a MetS app to support their exercise maintenance and health records for 3 months. Both groups received similar educational content related to healthcare for MetS clients. Data were collected at baseline (T1) and at 1- (T2) and 3-month (T3) intervals. Outcomes were body weight (primary outcome), total amount of exercise, blood pressure, and lipid concentrations. Data were analyzed using the generalized estimating equation models. Feasibility and acceptability were assessed in process evaluation. Results Ninety-eight individuals were screened for eligibility and 77 were randomized into the app group (n = 38) or booklet group (n = 39). The attrition rate at T3 was 11.690%. The app group showed a significant reduction in body weight (β = −1.069, p = 0.012) and body mass index (β = −0.371, p = 0.026), a greater amount of exercise (β = 8.454, p = 0.032), and improved exercise self-efficacy (β = 10.62, p = 0.001) within 3 months. There were no significant differences between groups for other outcomes. The participants appreciated the proposed intervention of the programme. Conclusion The MetS app may be incorporated in the health promotion programme to support exercise maintenance and a healthy lifestyle in the community.
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Affiliation(s)
- Eliza Mi Ling Wong
- School of Nursing, The Hong Kong Polytechnic University, Hong Kong, SAR, People's Republic of China
| | - Doris Y P Leung
- School of Nursing, The Hong Kong Polytechnic University, Hong Kong, SAR, People's Republic of China
| | - Hon Lon Tam
- School of Nursing, The Hong Kong Polytechnic University, Hong Kong, SAR, People's Republic of China
| | - Qun Wang
- School of Nursing, Shenzhen University, Shenzhen, Guangdong, People's Republic of China
| | - Kai Wang Yeung
- School of Nursing, The Hong Kong Polytechnic University, Hong Kong, SAR, People's Republic of China
| | - Angela Y M Leung
- School of Nursing, The Hong Kong Polytechnic University, Hong Kong, SAR, People's Republic of China
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17
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Kim G, Lee JS, Lee SK. A Technology-Mediated Interventional Approach to the Prevention of Metabolic Syndrome: A Systematic Review and Meta-Analysis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:E512. [PMID: 33435158 PMCID: PMC7828066 DOI: 10.3390/ijerph18020512] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Revised: 12/30/2020] [Accepted: 01/06/2021] [Indexed: 01/10/2023]
Abstract
BACKGROUND Technology-mediated interventions help overcome barriers to program delivery and spread metabolic syndrome prevention programs on a large scale. A meta-analysis was performed to evaluate the impact of these technology-mediated interventions on metabolic syndrome prevention. METHODS In this meta-analysis, from 30 January 2018, three databases were searched to evaluate interventions using techniques to propagate diet and exercise lifestyle programs for adult patients with metabolic syndrome or metabolic risk. RESULTS Search results found 535 citations. Of these, 18 studies met the inclusion criteria analyzed in this article. The median duration of intervention was 4 months and the follow-up period ranged from 1.5 to 30 months. The standardized mean difference (SMD) between the two groups was waist circumference -0.35 (95% CI -0.54, -0.15), triglyceride -0.14 (95% CI -0.26, -0.03), fasting blood glucose -0.31 (95% CI -0.42, -0.19), body weight -1.34 (95% CI -2.04, -0.64), and body mass index -1.36 (95% CI -2.21, -0.51). There was no publication bias in this study. CONCLUSION Technology-mediated intervention improved clinically important metabolic syndrome related indicators such as excess body fat around the waist, fasting glucose, and body mass index. These interventions will play an important role in the dissemination of metabolic syndrome prevention programs.
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Affiliation(s)
| | | | - Soo-Kyoung Lee
- Nursing College, Keimyung University, 1095 Dalgubeol-daero, Dalseo-gu, Daegu 42601, Korea; (G.K.); (J.-S.L.)
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