患有和未患有血脂异常的老年人的血清维生素 D 水平：利用比尔詹德老龄化纵向研究（BLAS）的基线数据进行比较

Q3 Nursing

Clinical Nutrition Open Science Pub Date : 2024-10-11 DOI:10.1016/j.nutos.2024.10.004

Fatemeh Alizadeh , Fatemeh Salmani , Farshad Sharifi , Mitra Moodi , Masomeh Khorashadizadeh , Zoya Tahergorabi

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引用次数: 0

摘要

背景& 目的如今，有关维生素 D 对人体健康的骨骼外影响的研究日益增多，本研究旨在利用比尔詹德纵向老龄化研究（Birjand Longitudinal Aging Study，BLAS）的基线数据，对患有和未患有血脂异常的老年人的血清维生素 D 水平进行比较。数据来自比尔詹德老龄化纵向研究（Birjand Longitudinal Aging Study，BLAS）的第一阶段。通过访谈完成了一份包含人口统计学信息和迷你营养评估（MNA）的调查问卷。结果老年人中分别有 37.3%、33.3% 和 29.3%的人维生素 D 水平充足、不足和缺乏。维生素 D 水平不足和缺乏的两组老年人的甘油三酯水平存在明显差异（P=0.011）。多重逻辑回归显示，血浆致动脉粥样硬化指数（AIP）（P = 0.005，OR = 18.46）和体重指数（BMI）（P = 0.001，OR = 18.46）的增加会显著增加血脂异常的几率。

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Serum vitamin D levels in older adults with and without dyslipidemia: A comparison using baseline data from the Birjand Longitudinal Aging Study (BLAS)

Background & Aims

Nowadays, research on extraskeletal effects of Vitamin D on human health is growing This study aimed to Serum vitamin D levels measurement in older adults with and without dyslipidemia: a comparison using baseline data from the Birjand Longitudinal Aging Study (BLAS).

Methods

This cross-sectional study included 420 elderly people over 60 years old divided into in two equal groups with and without dyslipidemia. Data were drawn from the first phase of Birjand Longitudinal Aging Study (BLAS). A questionnaire containing demographic information and Mini nutritional assessment (MNA) was completed through interviews. Body mass index (BMI) was calculated, and after 12 hours of fasting, 5 mL of venous blood was taken to measure the serum levels of 25(OH) D and lipid profile.

Results

Among the elderly, 37.3%, 33.3% and 29.3% had sufficient, insufficient and deficient Vitamin D levels, respectively. A significant difference in triglyceride levels was observed between the two groups of elderly individuals with insufficient and deficient Vitamin D levels (P=0.011). Multiple logistic regression showed that an increase in the atherogenic index of plasma (AIP) (P = 0.005, OR = 18.46) and BMI (P = 0.001, OR = 18.46) significantly increased the odds of dyslipidemia.