Title Prevalence of Unhealthy Dietary Patterns Among Prediabetic and Diabetic Individuals A Cross Sectional Study Introduction The study focuses on diabetes and prediabetes which are metabolic disorders caused by defects in insulin action or secretion. Prediabetes is an early stage of diabetes where blood sugar levels are above normal but not yet diabetic. Dietary patterns play an important role in determining the risk of diabetes. Ayurveda describes Prameha as a disorder caused by improper food and lifestyle leading to obstruction in body channels called srotas. This study aims to assess the association between dietary patterns and Srotodushti in diabetic and prediabetic individuals to develop preventive dietary strategies integrating Ayurvedic and modern approaches. Need of the Study Diabetes and prediabetes are rapidly increasing in both rural and urban areas of India due to lifestyle and diet changes. Research shows that type 2 diabetes can be prevented through proper diet and physical activity. Ayurveda identifies improper food and lifestyle as main causes of Srotodushti leading to Prameha, but few studies have examined this link. Hence, this study is needed to bridge Ayurvedic understanding with modern evidence. Literature Review Classical Ayurvedic texts like Charaka Samhita, Susruta Samhita, and Astanga Hridaya describe the causes, pathogenesis, symptoms, and dietary aspects of Prameha and Srotodushti. They explain how imbalance in doshas and medas leads to disease progression. Modern studies show that unhealthy diets rich in refined carbohydrates, fats, and animal protein increase diabetes risk while diets with fruits, vegetables, and fiber are protective. The literature supports the need to analyze overall dietary patterns and their role in metabolic and Ayurvedic parameters. According to Sushruta Nidana 6 In individuals indulging in improper diet and lifestyle, the immature doshas vata, pitta, and kapha mix with medas or fat tissue. These vitiated doshas travel through the urinary channels called mutravaha srotas and get localized near the bladder region. According to Charaka Nidana 4 Due to indulgence in etiological factors, especially kapha-dominant ones, the kapha dosha becomes aggravated and spreads throughout the body. Because of the similarity in properties between kapha and medas, the vitiated kapha mixes with medas, leading to the vitiation of fat tissue. The vitiated kapha and medas then combine with mamsa and kleda, causing the formation of carbuncles and other symptoms. This disturbed fat and moisture also affect the urinary channels, leading to blockage and the manifestation of prameha. As the disease involves multiple dhatus and is deeply rooted, it often becomes chronic and difficult to cure. According to Charaka Sutra 28 Premonitory symptoms of prameha, such as excessive urination and obesity, arise from the vitiation of medas. Individuals with disturbed fat metabolism are more prone to develop diabetes in the future. The main causes of medovaha srotodushti include lack of exercise, sleeping during daytime, excessive intake of fatty, fried, and calorie-rich foods, and overconsumption of alcohol. According to Charaka Chikitsa In terms of prognosis, prameha caused by kapha and pitta dosha, when preceded by their early symptoms, is generally incurable. Vata-dominant prameha that occurs in the later stage is also incurable. Pitta-dominant types are manageable but not easily cured. However, when medas is not severely vitiated, the disease can be curable with proper treatment and lifestyle correction. Research Question Is there an association between dietary pattern and Srotodushti manifestation among prediabetic and diabetic individuals Hypothesis There is an association between dietary pattern and Srotodushti manifestation in prediabetic and diabetic individuals. Aim To evaluate the association between dietary pattern and Srotodushti manifestation in prediabetic and diabetic patients. Objectives To assess the prevalence of unhealthy dietary patterns in prediabetic and diabetic individuals. To evaluate the relationship between dietary patterns and Srotodushti symptoms. To study the association of dietary patterns and Medovaha Srotodushti with biological parameters like lipid profile and HbA1c. To assess the relationship between physical activity and Srotodushti. Materials and Methods This is a two year observational cross sectional study conducted at the Metabolic and Lifestyle Disorder Outpatient Department of the All India Institute of Ayurveda. Convenience sampling will be used. About 200 participants aged 30 to 60 years diagnosed with prediabetes or diabetes will be included. Data will be collected through validated questionnaires on diet, Srotodushti symptoms, and physical activity along with anthropometric and biochemical measurements. Questionnaire Development and Validation The questionnaire will be developed through item generation, response selection, pre testing for face and content validity, and reliability testing using test retest and internal consistency methods. Construction of Dietary Pattern by Factor Analysis A North Indian Food Frequency Questionnaire will be used. Similar food items will be grouped, and factor analysis using varimax rotation will identify dietary patterns. Patterns with eigen value greater than one will be retained. Factor scores will indicate adherence to specific patterns. Data Collection Information will be collected through dietary assessment, Srotodushti symptom questionnaire, physical activity evaluation, anthropometric measurements, and biochemical tests like HbA1c, fasting and postprandial glucose, and lipid profile. Data will be entered electronically after informed consent. Sample Size Calculation Using a 95 percent confidence level and 7 percent precision, the required sample size is 196. Considering 10 percent dropout, the final sample size is fixed at 200 participants. Statistical Analysis Descriptive statistics will summarize the data. Normality will be tested using Shapiro Wilk test. Correlation and regression analyses will examine associations between dietary pattern, Srotodushti symptoms, and biochemical parameters. ANOVA or Kruskal Wallis tests will compare groups based on severity of Medovaha Srotodushti. Inclusion Criteria Adults aged 30 to 60 years of both genders. Diagnosed with prediabetes or type 2 diabetes based on American Diabetes Association criteria. Participants consuming North Indian food. Exclusion Criteria Individuals with type 1 or secondary diabetes, major systemic diseases, long term steroid use, pregnancy, psychiatric illness, special diets, food allergies, or those unwilling to participate will be excluded. Assessment Srotodushti assessment will include subjective symptoms, objective clinical findings, and standard diagnostic criteria for prediabetes and diabetes. Biochemical investigations will include HbA1c and lipid profile. Standard Operating Procedures Blood samples will be collected by trained personnel under sterile conditions. Samples will be stored and processed as per standard guidelines. Biomedical waste will be disposed of according to institutional policy. Outcome Measures Primary outcome is the prevalence of unhealthy dietary patterns in diabetic and prediabetic individuals. Secondary outcomes include association between diet, physical activity, and Srotodushti symptoms along with biochemical indicators. Observation and Results Baseline data will include demographic, dietary, physical activity, and biochemical parameters. Scores will be computed for dietary behavior, physical activity, and Srotodushti severity. Ethical Considerations Informed consent will be obtained. Participants’ privacy and data confidentiality will be maintained. There are no significant risks except mild discomfort during blood sampling. The study follows ethical guidelines and ensures voluntary participation without financial benefits. Translational Value This research connects Ayurvedic understanding of Srotodushti with modern clinical findings like HbA1c. It aims to identify early metabolic disturbances and provide holistic preventive strategies to reduce diabetes risk. |