Effective Prevention and Management Tools for Metabolic Syndrome Based on Digital Health-Based Lifestyle Interventions Using Healthcare Devices
Digital health-based lifestyle interventions (e.g., mobile applications, short messaging service, wearable devices, social media, and interactive websites) are widely used to manage metabolic syndrome (MetS). This study aimed to confirm the utility of self-care for prevention or management of MetS....
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-07-01
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| Series: | Diagnostics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-4418/12/7/1730 |
| _version_ | 1797406811068825600 |
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| author | Jung-Hun Lee Kang-Hyun Lee Hee-Jin Kim Hyun Youk Hee-Young Lee |
| author_facet | Jung-Hun Lee Kang-Hyun Lee Hee-Jin Kim Hyun Youk Hee-Young Lee |
| author_sort | Jung-Hun Lee |
| collection | DOAJ |
| description | Digital health-based lifestyle interventions (e.g., mobile applications, short messaging service, wearable devices, social media, and interactive websites) are widely used to manage metabolic syndrome (MetS). This study aimed to confirm the utility of self-care for prevention or management of MetS. We recruited 106 participants with one or more MetS risk factors from December 2019 to September 2020. Participants were provided five healthcare devices and applications. Characteristics were compared at baseline and follow-up to examine changes in risk factors, engagement, persistence, and physical activity (analyzed through device use frequency and lifestyle interventions performed). Participants with 1–2 MetS risk factors showed statistically significant reductions in waist circumference (WC) and blood pressure (BP). Participants with ≥3 MetS risk factors showed statistically significant reductions in risk factors including weight, body mass index, WC, BP, and fasting blood sugar (FBS). The prevention and improvement groups used more healthcare devices than the other groups. Smartwatch was the most frequently used device (5 times/week), and physical activity logged more than 7000 steps/week. WC, BP, and FBS of the improvement group were reduced by more than 40%. Based on engagement, persistence, and physical activity, digital health-based lifestyle interventions could be helpful for MetS prevention and management. |
| first_indexed | 2024-03-09T03:31:59Z |
| format | Article |
| id | doaj.art-f20549cc12104a93979c9322e6fc8979 |
| institution | Directory Open Access Journal |
| issn | 2075-4418 |
| language | English |
| last_indexed | 2024-03-09T03:31:59Z |
| publishDate | 2022-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Diagnostics |
| spelling | doaj.art-f20549cc12104a93979c9322e6fc89792023-12-03T14:55:18ZengMDPI AGDiagnostics2075-44182022-07-01127173010.3390/diagnostics12071730Effective Prevention and Management Tools for Metabolic Syndrome Based on Digital Health-Based Lifestyle Interventions Using Healthcare DevicesJung-Hun Lee0Kang-Hyun Lee1Hee-Jin Kim2Hyun Youk3Hee-Young Lee4Department of Emergency Medicine, Yonsei University Wonju College of Medicine, Wonju 26426, KoreaDepartment of Emergency Medicine, Yonsei University Wonju College of Medicine, Wonju 26426, KoreaDepartment of Emergency Medicine, Yonsei University Wonju College of Medicine, Wonju 26426, KoreaDepartment of Emergency Medicine, Yonsei University Wonju College of Medicine, Wonju 26426, KoreaDepartment of Emergency Medicine, Yonsei University Wonju College of Medicine, Wonju 26426, KoreaDigital health-based lifestyle interventions (e.g., mobile applications, short messaging service, wearable devices, social media, and interactive websites) are widely used to manage metabolic syndrome (MetS). This study aimed to confirm the utility of self-care for prevention or management of MetS. We recruited 106 participants with one or more MetS risk factors from December 2019 to September 2020. Participants were provided five healthcare devices and applications. Characteristics were compared at baseline and follow-up to examine changes in risk factors, engagement, persistence, and physical activity (analyzed through device use frequency and lifestyle interventions performed). Participants with 1–2 MetS risk factors showed statistically significant reductions in waist circumference (WC) and blood pressure (BP). Participants with ≥3 MetS risk factors showed statistically significant reductions in risk factors including weight, body mass index, WC, BP, and fasting blood sugar (FBS). The prevention and improvement groups used more healthcare devices than the other groups. Smartwatch was the most frequently used device (5 times/week), and physical activity logged more than 7000 steps/week. WC, BP, and FBS of the improvement group were reduced by more than 40%. Based on engagement, persistence, and physical activity, digital health-based lifestyle interventions could be helpful for MetS prevention and management.https://www.mdpi.com/2075-4418/12/7/1730metabolic syndromehealthcaredigital-health-based lifestyle interventionhealth information management |
| spellingShingle | Jung-Hun Lee Kang-Hyun Lee Hee-Jin Kim Hyun Youk Hee-Young Lee Effective Prevention and Management Tools for Metabolic Syndrome Based on Digital Health-Based Lifestyle Interventions Using Healthcare Devices Diagnostics metabolic syndrome healthcare digital-health-based lifestyle intervention health information management |
| title | Effective Prevention and Management Tools for Metabolic Syndrome Based on Digital Health-Based Lifestyle Interventions Using Healthcare Devices |
| title_full | Effective Prevention and Management Tools for Metabolic Syndrome Based on Digital Health-Based Lifestyle Interventions Using Healthcare Devices |
| title_fullStr | Effective Prevention and Management Tools for Metabolic Syndrome Based on Digital Health-Based Lifestyle Interventions Using Healthcare Devices |
| title_full_unstemmed | Effective Prevention and Management Tools for Metabolic Syndrome Based on Digital Health-Based Lifestyle Interventions Using Healthcare Devices |
| title_short | Effective Prevention and Management Tools for Metabolic Syndrome Based on Digital Health-Based Lifestyle Interventions Using Healthcare Devices |
| title_sort | effective prevention and management tools for metabolic syndrome based on digital health based lifestyle interventions using healthcare devices |
| topic | metabolic syndrome healthcare digital-health-based lifestyle intervention health information management |
| url | https://www.mdpi.com/2075-4418/12/7/1730 |
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