实用老年医学 ›› 2022, Vol. 36 ›› Issue (8): 822-826.doi: 10.3969/j.issn.1003-9198.2022.08.017

• 临床研究 • 上一篇    下一篇

老年人营养不良状况及影响因素分析

郁阿翠, 陈喜, 杨萌娜, 宋晓明, 李浩, 慈莉娅   

  1. 264000 山东省烟台市,滨州医学院烟台附属医院老年医学科(郁阿翠,陈喜,杨萌娜,宋晓明,慈莉娅);
    050000 河北省石家庄市,石家庄以岭药业股份有限公司(李浩)
  • 收稿日期:2021-09-25 出版日期:2022-08-20 发布日期:2022-08-23
  • 通讯作者: 慈莉娅,Email: ytscly@163.com

Nutrition status and the risk factors in the elderly

YU A-cui, CHEN Xi, YANG Meng-na, SONG Xiao-ming, LI Hao, CI Li-ya   

  1. YU A-cui, CHEN Xi, YANG Meng-na, SONG Xiao-ming, CI Li-ya. Department of Geriatrics, Yantai Affiliated Hospital of Binzhou Medical University, Yantai 264000, China;
    LI Hao. Shijiazhuang Yiling Pharmaceutical Co. Ltd, Shijiazhuang 050000, China
  • Received:2021-09-25 Online:2022-08-20 Published:2022-08-23

摘要: 目的 评估老年人的营养状况并分析其危险因素,以制定改善老年人营养状况的措施,提高老年人生活质量。 方法 应用微型营养评估简表(Mini-Nutritional Assessment Short-Form,MNA-SF),采取整群抽样方法,对2019年12月至2020年3月烟台市65岁以上262 226例老年人进行营养评估,采用多因素 Logistic回归分析一般人口学资料、功能状态和老年综合征对营养不良的影响。 结果 在烟台市 219 222例有效调查老年人中,24 489例(11.2%)被评估为营养不良风险,1589例(0.7%)被评估为营养不良。单因素分析显示,营养不良风险及营养不良组与营养正常组年龄、文化程度、居住地、 婚姻状况、养老模式、多重用药、自理能力、认知功能、误吸风险、跌倒风险、压疮风险、抑郁状态方面差异均有统计学意义(P<0.01)。多因素Logistic回归分析显示,高龄、居住城镇、机构养老、自理能力下降、认知功能障碍、误吸风险、跌倒风险、压疮风险、抑郁状态、多重用药是营养不良的危险因素,文化程度高、已婚是老年人营养不良的保护因素(P<0.01)。 结论 老年人营养不良受很多因素的影响,应重视对该群体营养状况的评估,以制订针对性的干预措施改善其营养状况。

关键词: 营养不良, 影响因素, 微型营养评估简表, 老年人

Abstract: Objective To assess the nutritional status in the elderly and to analyze the risk factors affecting the nutrition. Methods Through cluster sampling methods, 262,226 elderly people aged over 65 years old in Yantai City from December 2019 to March 2020 were selected and underwent Mini-Nutritional Assessment Short-Form (MNA-SF) assessment. Multivariate Logistic regression was used to analyze the risk factors influencing malnutrition. Results The results showed that among the 219 222 validly surveyed elderly people in Yantai, 24 489 (11.2%) were assessed to be at risk of malnutrition and 1589 (0.7%) were assessed as malnutrition. Compared with the normal nutrition group, there were statistical differences in age, education level, place of residence, marital status, pension mode, polypharmacy, self-care ability, cognitive function, risk of aspiration, risk of falling, risk of pressure ulcer, and depressive state in the risk of malnutrition and malnutrition group. Multivariate Logistic regression analysis showed that older age, urban residence, institutional care, decline in self-care ability, cognitive dysfunction, risk of aspiration, risk of falling, risk of pressure ulcers, depression and polypharmacy were the risk factors of malnutrition (P<0.01). Higher education level and being married were the protective factors of malnutrition in the elderly (P<0.01). Conclusions The incidence rate of malnutrition in the elderly is influenced by lots of factors. Attention should be paid to the assessment of the nutritional status, and targeted interventions should be formulated to improve their nutritional status.

Key words: malnutrition, influencing factors, Mini-Nutritional Assessment Short-Form, aged

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