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Effects of Vitamin D on Insulin Resistance in Nursing Home Residents: An Interventional Study Pubmed



Kaviani M1 ; Abdollahian M1 ; Almasi V2 ; Amini M3
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Authors Affiliations
  1. 1. Lorestan University of Medical Sciences, Iran
  2. 2. Clinical Research Center, Lorestan University of Medical Sciences, Iran
  3. 3. Isfahan University of Medical Sciences, Iran

Source: Endokrynologia Polska Published:2012


Abstract

Introduction: Insulin resistance is defined as reduction of insulin-stimulated glucose uptake in skeletal muscles and inadequate suppression of the production of endogenous glucose. The aim of this study was to assess the effect of vitamin D intake on insulin resistance in aged patients. Materials and methods: This interventional study was carried out on residents of Sadeghieh Nursing Home in Iran. The participants were healthy adults aged ≥ 65. For eight weeks, the participants took pills containing 50,000 IU vitamin D3 per week. Insulin resistance was defined as homeostasis model assessment of insulin resistance (HOMA-IR) > 2.5. We used McNemar's test, Wilcoxon test, chi-square, and Pearson correlation coefficient and SPSS software (v. 12) to analyse the collected data. Results: The average age of the 76 participants was 78.7 ± 8 years and 52 of the participants were female. Before and after the study, 37 and four participants had vitamin D deficiency, respectively (p < 0.001). Impaired fasting plasma glucose (FPG) and insulin resistance was not more prevalent in the participants with vitamin D deficiency. In this study, vitamin D intake had no significant effect on FPG level (p = 0.9), but it increased the prevalence of insulin resistance significantly (p < 0.001). Conclusions: In our study, before and after the intervention, vitamin D deficiency had no relationship with FPG level and insulin resistance. Vitamin D intake had no significant effect on FPG level, but it increased the prevalence of insulin resistance significantly. We believe that performing more studies, with a longer timespan and larger sample size, as double-blind clinical trials, is necessary.
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