Hoseinzadeh-Chahkandak Fatemeh, Rahimlou Mehran, Salmani Fatemeh, Ansarifar Elham, Moodi Mitra, Sharifi Farshad, Zeinali Tayebeh
Social Determinants of Health Research Center, Department of Public health, School of Health, Birjand University of Medical sciences, Birjand, Iran.
Department of Nutrition, School of Medicine, Zanjan University of Medical sciences, Zanjan, Iran.
BMC Geriatr. 2021 Oct 30;21(1):612. doi: 10.1186/s12877-021-02518-x.
Few data are available on the nutritional status of Iranian geriatric population. The present study aimed to determine the nutritional status of older adults' population in Birjand, East of Iran.
The community-based cohort study was performed on older adults population (60 years and older) living in urban and rural areas of Birjand. The mini nutritional assessment (MNA) questionnaire was used to assess nutritional status. Anthropometric and biochemical evaluation were also performed for all of the participants.
A total of 1417 geriatric person were enrolled in this study, which, most of them were female (51.9 %). According to MNA tool, most of the participants (73.3 %) had normal nutrition (MNA score ≥ 24). Malnourished (MNA score < 17) and at high risk of malnutrition (MNA score: 17- 23.5) were constituted 0.9 % and 25.8 % of the participants, respectively. Marital status, occupation, period of education and family member were associated with nutritional status. Multiple logistic regression showed that with increase of body mass index (BMI) (OR = 0.96), education years (OR = 0.95), hemoglobin (OR = 0.86) and lymphocyte (OR = 0.98), the odds of malnutrition decreased, but with increase of age the odds (1.03) of malnutrition is also elevated.
MNA could successfully forecast the risk of malnutrition and malnourished people. Sociodemographic factors are associated with the nutritional status.
关于伊朗老年人群营养状况的数据较少。本研究旨在确定伊朗东部比尔詹德地区老年人的营养状况。
对居住在比尔詹德城乡地区的老年人群(60岁及以上)进行了基于社区的队列研究。使用简易营养评估(MNA)问卷评估营养状况。还对所有参与者进行了人体测量和生化评估。
本研究共纳入1417名老年人,其中大多数为女性(51.9%)。根据MNA工具,大多数参与者(73.3%)营养正常(MNA评分≥24)。营养不良(MNA评分<17)和营养不良高风险(MNA评分:17 - 23.5)的参与者分别占0.9%和25.8%。婚姻状况、职业、受教育年限和家庭成员与营养状况相关。多元逻辑回归显示,随着体重指数(BMI)(OR = 0.96)、受教育年限(OR = 0.95)、血红蛋白(OR = 0.86)和淋巴细胞(OR = 0.98)的增加,营养不良的几率降低,但随着年龄的增加,营养不良的几率(1.03)也会升高。
MNA能够成功预测营养不良风险和营养不良人群。社会人口学因素与营养状况相关。