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19 articles for “Body mass index”
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The Influence of Dietary Habits on the Nutritional Status of Athletes
Abstract: The influence of dietary habits on the nutritional status of athletes, a sample of 100 athletes, consisting of 50 vegetarians (25 males and 25 females) and 50 non-vegetarians (25 males and 25 females), aged 17–26 years, was selected from Punjabi University Patiala and NIS Patiala. Information was gathered about the athletes’ overall characteristics, anthropometric measures, food consumption, level of physical activity, and physical performance. The information showed that consumption of …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 15, Issue 1, 2025 · pp. 24–30 Read article
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An Assessment of Nutritional Status among Students of Government Primary Schools in Semi-Urban areas of Chitradurga region
Abstract: Understanding children's nutritional status is crucial for enhancing future generations' quality of life, as evidenced by the elevated prevalence of stunting (36.2%), wasting (26%), and underweight (35.2%) in Karnataka according to the National Family Health Survey. This study aimed to assess the nutritional status, dietary habits, socio-economic conditions, and demographic profiles of students in Government primary schools in the semi-urban Chitradurga region. Using a validated questionnaire, data from 441 students …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 14, Issue 3, 2024 · pp. 61–67 Read article
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Postbiotics Unveiled: Mechanistic Insights and Therapeutic Implications in Obesity.
Abstract: The burgeoning global obesity epidemic necessitates innovative therapeutic approaches, and postbiotics, bioactive compounds arising from microbial fermentation, have emerged as promising contenders in reshaping obesity management. This comprehensive review explores the multifaceted mechanisms by which postbiotics impact obesity, from modulating gut microbiota composition to influencing metabolic pathways and enhancing energy expenditure. The exploration of postbiotics is rooted in a deeper understanding of the gut–brain axis and bidirectional communication between gut …
Published in Emerging Trends in Metabolites · Vol. 3, Issue 1, 2026 · pp. 11–28 Read article
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Body Weight Patterns and Lifestyle Behaviors Among Male College Students in Kangra District, Himachal Pradesh: A Cross-Sectional Study
Abstract: Abnormal body weight in young adults is a major public-health concern, particularly in low- and middle-income settings where undernutrition and excess weight may coexist. The college period often involves changes in diet, physical activity, sedentary behavior, and sleep, all of which influence nutritional status and future disease risk. This study assessed the prevalence of underweight and overweight/obesity among college-aged male students in Kangra District, Himachal Pradesh, India, and examined the …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 16, Issue 1, 2026 · pp. 31–38 Read article
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Morphological Heterogeneity and Ethnic Patterning of Anthropometric Traits in Ethiopian Inter-Scholastic Athletes
Abstract: Introduction: Anthropometric characteristics such as body size, proportions, and composition are fundamental determinants of morphological suitability for sport. Ethiopia’s significant ethnic diversity suggests potential variability in these traits; however, systematic data on anthropometric differences among adolescent athletes from different ethnic and demographic backgrounds remain limited. Understanding these variations is critical for talent identification and sports specialization at the school level. Methods: A cross-sectional study was conducted among inter-scholastic athletes representing …
Published in Recent Trends in Sports · Vol. 3, Issue 1, 2026 · pp. 25–34 Read article
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A Systematic Review of the Herbal Medicinal Plants With Anti-Obesity Potential
Abstract: Obesity is a chronic, multifactorial metabolic condition characterized by abnormal fat accumulation. It is mainly driven by the intricate influence of genetic, environmental, hormonal, metabolic and lifestyle determinants. The burden of obesity has risen considerably over the past few years, making it one of the major health concerns in both developed and developing countries alike. The rapid increase globally in obesity prevalence is linked with numerous health complications such as …
Published in Research & Reviews : Journal of Herbal Science · Vol. 15, Issue 2, 2026 Read article
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A Comprehensive Review of DiagnoTech: Your Healthcare Companion
Abstract: The review paper “A comprehensive review of DiagnoTech: Your Healthcare Companion” brings forth a transformative solution in the advancements of healthcare technology which aims to be an all-in-one Healthcare Companion. It explores the four key elements of DiagnoTech: Lab Tests, Body Mass Index (BMI) Calculation, Yoga and Diet Recommendations, and disease prediction. It brings to light each of these features’ functionalities, integration, and their collective impact on the healthcare industry. …
Published in International Journal of Mobile Computing Technology · Vol. 2, Issue 2, 2024 · pp. 24–32 Read article
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Machine Learning-Driven Early Prediction and Prevention of Obesity and Overweight
Abstract: Obesity has become a global health concern, with its prevalence reaching alarming levels in recent years. By classifying obesity-level, healthcare professionals can assess an individual's risk and develop appropriate treatment and prevention strategies. Healthcare professionals can customize interventions and create personalized treatment plans based on individual needs. This paper delivers a system provides an overview of obesity, highlighting the importance of accurate and standardized categorization for effective management and treatment …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 2, 2024 · pp. 31–40 Read article
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A Study to Assess the Nutritional Status of Kidney Failure Patients Undergoing Maintenance Hemodialysis
Abstract: Malnutrition is a common and serious complication among patients with end-stage renal disease (ESRD) undergoing maintenance hemodialysis (MHD) and is strongly associated with increased morbidity and mortality. The present study was conducted to assess the nutritional status of patients on maintenance hemodialysis and to identify factors contributing to protein-energy malnutrition in this population. A cross-sectional and follow-up assessment was carried out among patients receiving regular hemodialysis at a dialysis center. …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 15, Issue 3, 2025 · pp. 82–94 Read article
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Assessment of the Impact of a Structured Educational Program on PCOS Knowledge Among Adolescent Girls in a Chosen Area of Tarn Taran District, Punjab
Abstract: Polycystic ovary syndrome (PCOS) is a health condition characterized by elevated levels of androgen hormones, irregular menstrual patterns, and the existence of small cysts on one or both ovaries. The disorder can be morphological or biochemical. Prevention of PCOS includes lifestyle modifications that are to manage weight, exercise, and dietary changes. Aim and Objectives: The main goal of this study was to assess the efficacy of a structured educational program …
Published in International Journal of Women's Health Nursing And Practices · Vol. 1, Issue 2, 2023 · pp. 36–41 Read article
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A Web Application for Predicting Diabetes Using Machine Learning Methods
Abstract: Diabetes is a long-term disease caused by high glucose quantity in the blood. It has the potential to result in serious health complications like heart disease, hypertension, and ocular damage. It is good to identify any health issues as early as possible to get the right medical treatment and make necessary lifestyle adjustments. One makes use of machine learning techniques to predict diabetes and develop treatment options using actual cases. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 3, 2024 · pp. 92–102 Read article
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Diabetes Prediction Using ML Techniques
Abstract: Diabetes mellitus, commonly referred to as diabetes, denotes a cluster of prevalent endocrine disorders characterized by persistent elevated levels of blood sugar. Diabetes is classified into two main types: type 1 and type 2. Type 1 diabetes arises when the body is unable to produce insulin, while type 2 diabetes involves either insulin resistance or insufficient insulin production. Early detection and intervention are essential to reduce its harmful impacts. The …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 11, Issue 3, 2024 · pp. 1–9 Read article
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Evaluating the Impact of the Valsalva Maneuver on Pain Relief During Intravenous Cannulation in Patients at Selected Hospitals in Tirupati, Andhra Pradesh
Abstract: Pain can be defined as an unpleasant tactile sensation, arousing sensory experience, and an emotional response that is linked to any type of tissue, cell, or skin damage. Pain is a very common and a primary reason for which people seek health care. Among all the non-pharmacological methods for pain relieving, the Valsalva maneuver is one of the methods which is found effective in reducing the level of pain a …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 3, 2024 Read article
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Empowering Through Education: Combating Malnutrition in Madhya Pradesh
Abstract: Madhya Pradesh occupies a central position in India. Its diverse landscape features low hills, wide plateaus, and river valleys. The Vindhya and Satpura ranges are two major mountain ranges that cut through the state. The Narmada River, considered sacred in Hinduism, flows through the heart of Madhya Pradesh. The state boasts rich biodiversity with several wildlife sanctuaries and national parks, including Kanha National Park and Bandhavgarh National Park. NFHS-4 data …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 13, Issue 2, 2024 · pp. 09–18 Read article
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Evaluation of Medication Adherence in Patients with Type 2 Diabetes Mellitus: A Mixed- Methods Approach
Abstract: Background: Medication adherence refers to how closely an individual follows the prescribed medication regimen. It is essential for achieving desired therapeutic outcomes and improving patient health. Inadequate adherence can result in the deterioration of health conditions, higher mortality rates, and increased healthcare expenses. Diabetes mellitus, being a chronic condition, demands ongoing medical care not only to prevent the onset of serious complications but also to manage them effectively once they …
Published in International Journal of Community Health Nursing And Practices · Vol. 3, Issue 1, 2025 · pp. 28–35 Read article
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Physiological and Psychological Effects of Ekadashi Upavasa (Fasting Ritual) on Women: A Prospective cohort study on Metabolism, Immunity, and Mental Clarity
Abstract: Background: Ekadashi Upavasa, a traditional bi-monthly fasting ritual, is believed to offer physical, mental, and spiritual benefits. However, its scientific impact on metabolism, immunity, and mental clarity remains underexplored. This prospective cohort study evaluates these effects among women practicing the ritual at Krishna Temple, Amloh, over six months. Methods: A total of 800 women aged 25–50 years were recruited from Krishna Temple, Amloh, for this study, conducted from June 2024 …
Published in Research and Reviews : A Journal of Immunology · Vol. 15, Issue 2, 2025 · pp. 67–70 Read article
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A Study to Evaluate the Effectiveness of Planned Teaching Program on Diabetic Management Regarding Knowledge and Practice Among Patients with Diabetes Mellitus at Selected Taluk Government Hospital, Kollegala
Abstract: Diabetes mellitus is a chronic metabolic disorder with a growing global impact. Effective management of this condition requires not only medical intervention but also comprehensive patient education. This study was conducted to evaluate the effectiveness of different diabetes education methods on improving metabolic control, body mass index (BMI), and blood pressure among diabetic patients. The research aimed to empower individuals with diabetes by enhancing their knowledge and self-management skills. A …
Published in Journal of Nursing Science & Practice · Vol. 15, Issue 3, 2025 · pp. 19–28 Read article
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Diabetes Risk & Al Nutrition Assistant
Abstract: The rising prevalence of diabetes mellitus has emerged as a major global health challenge. Early identification of individuals at risk, combined with personalized lifestyle-based interventions, can significantly reduce future complications. This study presents an AI-driven Nutrition Assistant integrated with a Diabetes Risk Prediction model. The system uses a machine learning classification approach to estimate the likelihood of diabetes based on clinical and nutritional factors, including body mass index, glucose levels, …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 1, 2026 · pp. 31–38 Read article
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Diabetes Risk Prediction from Survey Data Using Machine Learning Algorithms
Abstract: Diabetes mellitus represents one of the most significant global health challenges, affecting millions worldwide and leading to severe complications if left undiagnosed or poorly managed. Early detection and risk assessment are crucial for preventing the progression of this chronic condition. This research presents a comprehensive machine learning approach for predicting diabetes risk using survey-based health parameters. The study implements and compares four prominent classification algorithms: Logistic Regression, K-Nearest Neighbors (KNN), …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 Read article