Assessing the Impact of Digital Programmes and Applications on Patients with Metabolic Syndrome: An Updated Meta-analysis

Background: Metabolic syndrome (MetS) is a complex condition associated with an increased risk of cardiovascular diseases and type 2 diabetes. Digital programmes and applications (apps) have emerged as the potential tools for managing MetS through lifestyle modifications and health behaviour interventions. This meta-analysis aims to assess the impact of digital programmes and applications on patients with MetS, focusing on key outcomes related to metabolic parameters, cardiovascular risk factors and patient engagement. Methods: A systematic search of electronic databases was conducted to identify the relevant studies published between 2012 and 2024. Studies evaluating the effectiveness of digital programmes and applications in patients with MetS were included. Quality assessment was done using the Cochrane risk of bias tool for randomised controlled trials, the JBI tool for one quasi-experimental study and the NIH tool for observational studies. Results: A total of 15 studies were included in this study, comprising 1879 participants with MetS. The pooled analysis demonstrated significant improvements in body mass index (mean difference [MD] −0.56 kg/m 2 , 95% confidence interval [CI] [−0.88, −0.25], P = 0.0004), systolic blood pressure (MD − 3.07 mmHg, 95% CI [−5.21, −0.94], P = 0.005), diastolic blood pressure (MD −1.37 mmHg, 95% CI [−4.88, 2.15], P = 0.45), lipid profile (e.g., total cholesterol, high-density lipoprotein cholesterol and low-density lipoprotein cholesterol) and fasting blood glucose levels (MD − 2.09 mg/dL, 95% CI [−4.77, 0.60], P = 0.13). Conclusion: Digital programmes and applications demonstrate significant beneficial effects on metabolic parameters, cardiovascular risk factors, medication adherence and patient engagement in individuals with MetS. These findings support the integration of digital health interventions as the adjunctive tools in the management of MetS and underscore the potential for personalised and technology-driven approaches to improve patient outcomes and promote healthy lifestyles.

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Journal
Journal of Advanced Trends in Medical Research
Published
2024-10-01
DOI
https://doi.org/10.4103/atmr.atmr_169_24
Citations
1
Primary Topic
Diabetes Management and Education
Type
article
Field-Weighted Citation Impact
0.36
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article

Assessing the Impact of Digital Programmes and Applications on Patients with Metabolic Syndrome: An Updated Meta-analysis

Ruba Yosof Alsulami, Renad Alsuhaibani, Saud Nayef Aldanyowi, Hassan Abdulmohsen Alharbi et al.
1 citations
Journal of Advanced Trends in Medical Research
Diabetes Management and Education
0.36
article

Assessing the Impact of Digital Programmes and Applications on Patients with Metabolic Syndrome: An Updated Meta-analysis

Ruba Yosof Alsulami, Renad Alsuhaibani, Saud Nayef Aldanyowi, Hassan Abdulmohsen Alharbi, Lama Saleh Aldakhil, Amjad Hassan Muthaffar, Taeef Mutlaq J. Alsulami, Abdulaziz Ali M. Alzobaidi, Ebtesam Saleh Al-Amer, Fatimah Bader N. Alismail, Mayar Khalid H Alnughaymishi
article en
1 citations

Abstract

Background: Metabolic syndrome (MetS) is a complex condition associated with an increased risk of cardiovascular diseases and type 2 diabetes. Digital programmes and applications (apps) have emerged as the potential tools for managing MetS through lifestyle modifications and health behaviour interventions. This meta-analysis aims to assess the impact of digital programmes and applications on patients with MetS, focusing on key outcomes related to metabolic parameters, cardiovascular risk factors and patient engagement. Methods: A systematic search of electronic databases was conducted to identify the relevant studies published between 2012 and 2024. Studies evaluating the effectiveness of digital programmes and applications in patients with MetS were included. Quality assessment was done using the Cochrane risk of bias tool for randomised controlled trials, the JBI tool for one quasi-experimental study and the NIH tool for observational studies. Results: A total of 15 studies were included in this study, comprising 1879 participants with MetS. The pooled analysis demonstrated significant improvements in body mass index (mean difference [MD] −0.56 kg/m 2 , 95% confidence interval [CI] [−0.88, −0.25], P = 0.0004), systolic blood pressure (MD − 3.07 mmHg, 95% CI [−5.21, −0.94], P = 0.005), diastolic blood pressure (MD −1.37 mmHg, 95% CI [−4.88, 2.15], P = 0.45), lipid profile (e.g., total cholesterol, high-density lipoprotein cholesterol and low-density lipoprotein cholesterol) and fasting blood glucose levels (MD − 2.09 mg/dL, 95% CI [−4.77, 0.60], P = 0.13). Conclusion: Digital programmes and applications demonstrate significant beneficial effects on metabolic parameters, cardiovascular risk factors, medication adherence and patient engagement in individuals with MetS. These findings support the integration of digital health interventions as the adjunctive tools in the management of MetS and underscore the potential for personalised and technology-driven approaches to improve patient outcomes and promote healthy lifestyles.

Journal of Advanced Trends in Medical ResearchVol. 1(4)
Qassim University (SA), King Saud bin Abdulaziz University for Health Sciences (SA), Imam Mohammad ibn Saud Islamic University (SA), King Saud University (SA), University of Jeddah (SA), Ministry of Health (SA), King Faisal University (SA), Imam Abdulrahman Bin Faisal University (SA), Jazan University (SA)
Openalex Percentile: Top 30%
Diabetes Management and Education
0.36
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