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http://hdl.handle.net/10603/454736
Title: | Association between vitamin D levels and serum insulin in health indivisuals A coss sectional study |
Researcher: | Venkatachalam K |
Guide(s): | Shameem Banu A S |
Keywords: | Biochemistry and Molecular Biology Biology and Biochemistry Life Sciences |
University: | Chettinad Academy of Research and Education |
Completed Date: | 2021 |
Abstract: | Studies have shown the association between vitamin D and diabetes though there are varying etiologies from dietary habits to exercise also vitamin D has its link in different sites in the body playing a role also as an immunomodulator. This made us to design this study to find out the vitamin D levels and their association with insulin levels. newlineMaterials: Sample size was 85, 30 subjects age 25 to 35 yrs of age, both sex, with normal vitamin D level and 55 subjects with low vitamin D levels. Subjects were chosen from the normal population who attended the master health check-up. Sample size of 60 and from both sex. Subjects previously diagnosed with diabetes, hypertension and thyroid diseases were excluded from the study. newline newlineMethodology: After getting consent, questionnaire was distributed to the subjects. Anthropometric measurement were recorded, blood pressure were taken after a 10 minute rest and documented , Blood were drawn using vacutainer with red and grey top and the following investigations were done the same day. Fasting plasma glucose in DADE XPAND (Siemens),Serum vitamin D in Maglumi and Serum insulin in access2 Beckman coulter day. newlineResults: results were analysed using SPSS software version 21. Independent t test were calculated and significance was found in vitamin D and FPG, INSULIN, HOMO IR MODEL, QUICKI INDEX. Anova was done by splitting of groups into four based on vitamin D levels and significance was got between groups for insulin, HOMO IR and QUICKI. Conclusion: this study concludes that there is significant association between vitamin D levels and serum insulin levels. Reproduction of this in a larger population will help the clinician to diagnose and treat diabetes in a better way. newline newline |
Pagination: | |
URI: | http://hdl.handle.net/10603/454736 |
Appears in Departments: | Faculty of Allied Health Sciences (FAHS) |
Files in This Item:
File | Description | Size | Format | |
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80_recommendation.pdf | Attached File | 305.02 kB | Adobe PDF | View/Open |
abstract.pdf | 141.38 kB | Adobe PDF | View/Open | |
bibliography and appendix.pdf | 290.67 kB | Adobe PDF | View/Open | |
conclusion.pdf | 21.43 kB | Adobe PDF | View/Open | |
introduction and aim.pdf | 35.01 kB | Adobe PDF | View/Open | |
materials and method.pdf | 94.74 kB | Adobe PDF | View/Open | |
prelim pages.pdf | 629.16 kB | Adobe PDF | View/Open | |
results and discussion.pdf | 48.23 kB | Adobe PDF | View/Open | |
review of literature.pdf | 482.22 kB | Adobe PDF | View/Open | |
table of contents.pdf | 140.67 kB | Adobe PDF | View/Open | |
venkatachalam k title page.pdf | 284.82 kB | Adobe PDF | View/Open |
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