Use of mobile-stroke risk scale and lifestyle guidance promote healthy lifestyles and decrease stroke risk factors

Dharma, Kelana Kusuma; Parellangi,

doi:10.1016/j.ijnss.2020.08.001

Cited by 5 publications

(4 citation statements)

References 16 publications

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“…This was revealed in study from Iran that suggested that the mean fruit intake among male stroke survivors was higher than men without stroke 29 and also in Indonesian study. 30…”

Section: Discussionmentioning

confidence: 99%

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A randomized controlled trial of medication adherence and management of risk factors for secondary prevention of stroke (MaMoRS) using a smartphone-based application

Babu,

Sylaja,

Soman

et al. 2024

International Journal of Stroke

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Background: There is little data on the use of smartphone-based applications for medication adherence and risk-factor control for the secondary prevention of stroke in low-and-middle-income countries (LMIC). Aims: To determine whether a smartphone-based app improved medication adherence, risk-factor control, and provided health education to stroke survivors for lifestyle and behavioural modifications. Methods: An unblinded, single-centre randomized controlled double arm trial with 1:1 allocation among stroke survivors was performed in South India. The primary outcome was medication adherence, with co-primary outcomes of lifestyle and behavioural factors and control of vascular risk factors, at three and six months. Results: Among 351 stroke survivors screened, 209 were recruited. The mean (SD) age of the intervention(n=105) group was 60(12) years and that of the control (n=104) group was 60(10) years. The primary outcome, mean medication adherence significantly improved in the intervention group with a between group difference of 0.735(95% CI:0.419-1.050), p<0.001. Being in intervention group (OR=4.5; 95% CI:2.3-8.9), stroke recurrence (OR=3.3(95% CI:1.9-7.8), and regular physician visits (OR=2.1; 95% CI:1.0–4.4) were significant predictors of good medication adherence. Considering the co-primary outcomes, compared to the control group, participants in the intervention group had a greater improvement in self-reported healthy diet intake (p=0.003), intake of fruits (p=0.005), and were physically more active (p=0.001). At six months mean fasting blood sugar (p=0.005) and high-density lipoprotein cholesterol higher (p=0.024) in the intervention group. Conclusions: The use of a mobile app is an effective method to improve medication adherence and risk- factor control in stroke survivors, and is feasible in LMICs like India. Data access statement: Data used during the study are available from the corresponding author on request. Trial registration: The study is registered in Clinical Trial Registry of India (CTRI/2022/06/042980).

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“…This was revealed in study from Iran that suggested that the mean fruit intake among male stroke survivors was higher than men without stroke 29 and also in Indonesian study. 30…”

Section: Discussionmentioning

confidence: 99%

“…The use of information technology in the prevention of stroke recurrence, especially those that can be integrated into smartphones, is worth exploring further due to widespread use of smartphones even in the rural parts of the country. 30…”

Section: Discussionmentioning

confidence: 99%

A randomized controlled trial of medication adherence and management of risk factors for secondary prevention of stroke (MaMoRS) using a smartphone-based application

Babu,

Sylaja,

Soman

et al. 2024

International Journal of Stroke

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“…Low education level may affect people's acquisition and understanding of knowledge about chronic disease management, such as hypertension, diabetes and high cholesterol. [44,45] These diseases are all associated with an increased risk of stroke. [37][38][39][40] People with lower levels of education may not know how to recognize the symptoms of stroke, or may not know how to seek immediate medical help, which can lead to delays in stroke and increase the risk of serious consequences.…”

Section: Discussionmentioning

confidence: 99%

The relationship between physical activity and stroke in middle-aged and elderly people after controlling demography variables, health status and lifestyle variables

Zhang,

Jiang

2023

Medicine

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The increase in the number of stroke patients in China brain has led to the decline in quality of life and the burden of family economic conditions. This study explored the relationship between stroke and physical activity (PA) in middle-aged and elderly Chinese after controlling Demography, health status and lifestyle variables, providing a new basis for the prevention and treatment of stroke in the elderly. The data is from the 2018 China Health and Retirement Longitudinal study. Five thousand seventy people over 50 years old with complete information on PA, stroke, Demography, health status and lifestyle were included in the analysis. SPSS 27.0 software was used to conduct Z test, logistic regression analysis and linear hierarchical regression analysis on the collected data. The results showed that high-level physical exercise was significantly negatively correlated with stroke (P < .05). After adjusting Demographics characteristics (gender, registered residence type, education level, age, widowhood or not), health status characteristics and living habits (arthritis, bad mood, asthma, hyperlipidemia, disability, memory disease, health self-evaluation, hypertension, smoking, depression), There was still statistical significance (P < .05) between PA and stroke. This study concludes that middle-aged and elderly people with high PA have a lower risk of stroke. In the process of preventing and improving stroke symptoms in the elderly, it is important to maintain high PA while also paying attention to health management and a healthy lifestyle.

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“…Various questionnaires and scoring systems are available to evaluate one's risk of stroke according to the self-reported personal health condition and lifestyle habits and behaviors [17]. Since the popularity of the smartphone is high, conveying the questionnaires or scoring systems via mobile applications (mobile app) increases the accessibility of this population-wide strategy for stroke risk stratification [18]. The Stroke Riskometer is a mobile app endorsed by the World Stroke Organization to evaluates one's risk of Wearable devices and mobile applications for stroke risk prediction.…”

Section: Questionnaires and Scoring Systems Via Mobile Applicationsmentioning

confidence: 99%

Trends and Challenges of Wearable Multimodal Technologies for Stroke Risk Prediction

Chen

2021

Sensors

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We review in this paper the wearable-based technologies intended for real-time monitoring of stroke-related physiological parameters. These measurements are undertaken to prevent death and disability due to stroke. We compare the various characteristics, such as weight, accessibility, frequency of use, data continuity, and response time of these wearables. It was found that the most user-friendly wearables can have limitations in reporting high-precision prediction outcomes. Therefore, we report also the trend of integrating these wearables into the internet of things (IoT) and combining electronic health records (EHRs) and machine learning (ML) algorithms to establish a stroke risk prediction system. Due to different characteristics, such as accessibility, time, and spatial resolution of various wearable-based technologies, strategies of applying different types of wearables to maximize the efficacy of stroke risk prediction are also reported. In addition, based on the various applications of multimodal electroencephalography–functional near-infrared spectroscopy (EEG–fNIRS) on stroke patients, the perspective of using this technique to improve the prediction performance is elaborated. Expected prediction has to be dynamically delivered with high-precision outcomes. There is a need for stroke risk stratification and management to reduce the resulting social and economic burden.

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Use of mobile-stroke risk scale and lifestyle guidance promote healthy lifestyles and decrease stroke risk factors

Cited by 5 publications

References 16 publications

A randomized controlled trial of medication adherence and management of risk factors for secondary prevention of stroke (MaMoRS) using a smartphone-based application

A randomized controlled trial of medication adherence and management of risk factors for secondary prevention of stroke (MaMoRS) using a smartphone-based application

The relationship between physical activity and stroke in middle-aged and elderly people after controlling demography variables, health status and lifestyle variables

Trends and Challenges of Wearable Multimodal Technologies for Stroke Risk Prediction

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