“Healthy Heart, Healthy You”

Kannan, Radhika; Kiran, Pretesh Rohan; Gnanaselvam, Nancy Angeline; Mathew, Kevin George; Johnson, Jewel Christy

doi:10.4103/ijcm.ijcm_825_21

Cited by 4 publications

(2 citation statements)

References 7 publications

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“…[ 6 ] Total number of people with CVD nearly doubled from 271 million in 1990 to 523 million in 2019, and deaths due to CVD climbed significantly from 12.1 million in 1990 to 18.6 million in 2019. [ 7 ] 32% of all fatalities worldwide in 2019 were predicted to have been caused by CVDs, causing death of 17.9 million individuals. [ 1 ] The likelihood of developing hypertension and other cardiovascular disorders increases with a higher body mass index (BMI) and weight gain in childhood, which are typically connected to a poor diet.…”

Section: Introductionmentioning

confidence: 99%

A Study to Evaluate the Effect of a Combined Approach of Yoga and Diet in High-risk Cardiovascular Subjects

Rao,

Kacker,

Saboo

2023

International Journal of Yoga

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Background: Cardiovascular disease (CVD) is a group of disorders of the heart and blood vessels, including coronary heart disease, cerebrovascular disease, rheumatic heart disease, peripheral artery disease, congenital heart disease, deep vein thrombosis, and pulmonary embolism. Aim: The aim of this study was to assess cardiovascular risk factors and evaluate the effectiveness of combined approach of yoga and diet in reducing cardiovascular risk factors among high-risk subjects. Materials and Methods: This interventional study was conducted at RUHS College of Medical Sciences and Associated Hospitals, Jaipur, on the high-risk population of either sex in the age group of 40–70 years. QRISK3 web calculator was used as the method of measurement for outcome of interest. The combined approach of yoga intervention includes yogic asanas and pranayamas and dietary modification. Results: This study compared physiological parameters (blood pressure) and biochemical parameters (fasting blood sugar, glycosylated hemoglobin, lipid profile) at baseline, three months and six months after yoga and diet intervention in participants who were at high-risk of cardiovascular disease development in future and were found to be having significantly decreased systolic blood pressure (P=0.000), fasting blood glucose (P=0.000), glycosylated hemoglobin (HbA1C) (P=0.011), total cholesterol-high density lipoprotein ratio (P=0.000), low density lipoprotein (P=0.009), triglyceride (P=0.034), and QRISK3 Score (P=0.000) after combined approach of yoga and diet. Conclusions: This study concluded that the short-term combined approach of yoga-based life-style intervention and diet reduced cardiovascular risk factors in subjects at high-risk of developing cardiovascular disease.

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Section: Introductionmentioning

confidence: 99%

A Study to Evaluate the Effect of a Combined Approach of Yoga and Diet in High-risk Cardiovascular Subjects

Rao,

Kacker,

Saboo

2023

International Journal of Yoga

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“…While the condition surfaces during adulthood, the foundation often lies in early life choices and habits. The World Health Organization has reported that non-communicable diseases (NCDs) account for about 31% of all global deaths, with a concerning 75% of deaths occurring in low- and middle-income countries, with diabetes being the major cause next to cardiovascular diseases [ 1 ]. A majority of these deaths can be prevented as they are primarily linked to modifiable risk factors such as tobacco use, an unhealthy diet, lack of physical activity, and excessive alcohol consumption [ 2 ].…”

Section: Introductionmentioning

confidence: 99%

Diabetes Susceptibility Assessment Using the Indian Diabetes Risk Score: A Cross-Sectional Analytical Study on Young Medical Students in Chennai, South India

Rajan,

Muthunarayanan

2023

Cureus

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Background Youth must identify their diabetes risk factors because the disease is currently affecting young people at an epidemic rate. The Indian Diabetes Risk Score (IDRS) is a reliable and affordable method for determining a person’s risk of developing diabetes. This study aims to evaluate the ability of the IDRS to predict type 2 diabetes mellitus (T2DM) and investigate the relationship between diabetes risk and other variables in young medical students. Methodology In this cross-sectional analytical survey of a cohort of 670 undergraduate medical scholars over six months, a meticulously designed semi-structured questionnaire was administered. The questionnaire captured sociodemographic specifics, substance use habits (tobacco and alcohol), dietary patterns, and physical activity patterns in line with the WHO STEPwise approach to non-communicable disease risk factor surveillance and the IDRS tool. Results There was an equal proportion of males and females. The majority were in their second year of study. Overall, 5.2% of students reported tobacco use, while alcohol consumption was reported by 25.6% of the cohort. Furthermore, IDRS score insights revealed that 80.2% of the participants exhibited low diabetes risk, 18.9% were categorized as moderate risk, and 0.9% demonstrated high risk. Gender (adjusted prevalence ratio (PR) = 1.8, 95% confidence interval (CI) 1.3-2.7) and tobacco usage (adjusted PR = 1.6 (1.1 to 2.2)) were found to be significantly associated with higher IDRS scores on multivariable analysis. Conclusions Illuminating the landscape of risk determinants among medical students in Chennai, this study accentuates the pressing need for bespoke interventions, underpinned by behavioral change theories. Such strategies can potentially catalyze healthier lifestyle shifts, shaping favorable public health trajectories in the foreseeable future.

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The Role of Visualization in Estimating Cardiovascular Disease Risk: Scoping Review

Svenšek,

Lorber,

Gosak

et al. 2024

JMIR Public Health Surveill

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Background Supporting and understanding the health of patients with chronic diseases and cardiovascular disease (CVD) risk is often a major challenge. Health data are often used in providing feedback to patients, and visualization plays an important role in facilitating the interpretation and understanding of data and, thus, influencing patients’ behavior. Visual analytics enable efficient analysis and understanding of large datasets in real time. Digital health technologies can promote healthy lifestyle choices and assist in estimating CVD risk. Objective This review aims to present the most-used visualization techniques to estimate CVD risk. Methods In this scoping review, we followed the Joanna Briggs Institute PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines. The search strategy involved searching databases, including PubMed, CINAHL Ultimate, MEDLINE, and Web of Science, and gray literature from Google Scholar. This review included English-language articles on digital health, mobile health, mobile apps, images, charts, and decision support systems for estimating CVD risk, as well as empirical studies, excluding irrelevant studies and commentaries, editorials, and systematic reviews. Results We found 774 articles and screened them against the inclusion and exclusion criteria. The final scoping review included 17 studies that used different methodologies, including descriptive, quantitative, and population-based studies. Some prognostic models, such as the Framingham Risk Profile, World Health Organization and International Society of Hypertension risk prediction charts, Cardiovascular Risk Score, and a simplified Persian atherosclerotic CVD risk stratification, were simpler and did not require laboratory tests, whereas others, including the Joint British Societies recommendations on the prevention of CVD, Systematic Coronary Risk Evaluation, and Framingham-Registre Gironí del COR, were more complex and required laboratory testing–related results. The most frequently used prognostic risk factors were age, sex, and blood pressure (16/17, 94% of the studies); smoking status (14/17, 82%); diabetes status (11/17, 65%); family history (10/17, 59%); high-density lipoprotein and total cholesterol (9/17, 53%); and triglycerides and low-density lipoprotein cholesterol (6/17, 35%). The most frequently used visualization techniques in the studies were visual cues (10/17, 59%), followed by bar charts (5/17, 29%) and graphs (4/17, 24%). Conclusions On the basis of the scoping review, we found that visualization is very rarely included in the prognostic models themselves even though technology-based interventions improve health care worker performance, knowledge, motivation, and compliance by integrating machine learning and visual analytics into applications to identify and respond to estimation of CVD risk. Visualization aids in understanding risk factors and disease outcomes, improving bioinformatics and biomedicine. However, evidence on mobile health’s effectiveness in improving CVD outcomes is limited.

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“Healthy Heart, Healthy You”

Cited by 4 publications

References 7 publications

A Study to Evaluate the Effect of a Combined Approach of Yoga and Diet in High-risk Cardiovascular Subjects

A Study to Evaluate the Effect of a Combined Approach of Yoga and Diet in High-risk Cardiovascular Subjects

Diabetes Susceptibility Assessment Using the Indian Diabetes Risk Score: A Cross-Sectional Analytical Study on Young Medical Students in Chennai, South India

The Role of Visualization in Estimating Cardiovascular Disease Risk: Scoping Review

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