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Effect of Vitamin D Supplementation on Allostatic Load and Chronic Stress Along Line of Control in Azad Jammu Kashmir

University of the Punjab · 2024
ClinicalTrials.gov · Datasets · License: Public Domain · 2024
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FULL TITLE Effect of vitamin D supplementation on the Allostatic load and Chronic stress along line of control in Azad Jammu and Kashmir. "Double blind randomized placebo-controlled trial" SHORT TITLE Effect of vitamin D supplementation on allostatic load and chronic stress along line of control in azad Jammu and Kashmir PROTOCOL/VERSION DATE 5th August 2023 METHODOLOGY "Double blind randomized placebo-controlled trial" STUDY DURATION 1 year STUDY CENTRES 1. District head quarter hospital haveli district Azad Kashmir 2. Rural health center (RHC) Khursheed Abad, 3. Basic health unit (BHU) Kirni Mandhaar and 4. First aid post (FAP) Chirikot. Main Objectives -To determine whether high-dose oral vitamin D supplementation effects allostatic load and chronic stress of the residents of line of control haveli district Azad Jammu and Kashmir (primary outcome) * To assess the prevalence and determinants of allostatic load and chronic stress among the residents of line of control (secondary outcome factors analysis). * To look into the relationship between chronic stress and vital clinical markers as blood pressure, BMI, and lipid profile in participants from line of control. * To determine whether this intervention is safe and well-tolerated by study participants (secondary outcomes, safety) No. of Participants 120 Statistical Methodology and Analysis The collected data will be analysed using appropriate statistical techniques: Descriptive statistics will summarize participant characteristics, chronic stress, psychological well-being, physical health indicators, and baseline vitamin D levels. Inferential statistics, such as t-tests, ANOVA, and regression analysis, will be used to examine relationships between chronic stress, allostatic load, vitamin D supplementation, and health outcomes. Subgroup analyses will explore potential interactions based on demographic variables
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