Nutritional Status and Its Relation with Depression in Free-Living Elderly Individuals

营养不良 医学 萧条(经济学) 老年学 老人忧郁量表 生活质量(医疗保健) 情感(语言学) 老年人 日常生活活动 晋升(国际象棋) 精神科 抑郁症状 内科学 心理学 焦虑 护理部 法学 经济 宏观经济学 政治 沟通 政治学
作者
Laleh Payahoo,Khaje Bishak Yaser,Pourghassem Gargari Bahram,Kabir Alavi Mohammad Bagher,Mohammad Asghari Jafarabadi
出处
期刊:Medical journal of Tabriz University of Medical Sciences and Health Services [Maad Rayan Publishing Company]
卷期号:35 (5): 20-25 被引量:3
链接
摘要

Background and Objectives: Aging, as a main period of life, is faced with many physiological and psychological problems such as malnutrition and depression. Some evidences manifested that malnutrition and depression could affect each other. Considering the lack of studies in this field in our region, this study designed to determine the nutritional status and its relation with depression in the free-living elderly individuals. Materials and Methods: This cross-sectional study was carried on 184 elderly people (male=97; female=87) with the age ≥ 60 years. All subjects were selected from daily care centers for elderly people in Tabriz city. Mini Nutritional Assessment (MNA) and Geriatric Depression Score (GDS) were used to evaluate the nutritional status and depression prevalence, respectively. Results: More than 50% of subjects had inappropriate nutrition status (6.2% undernourished and 46.7% at risk of malnutrition). Prevalence of malnutrition in females was 5-fold more than males. The results of GDS test revealed that about 14% of elderly people had serve depression and 28.3% had mild depression. There was a significant positive correlation between MNA and GDS tests in both gender (r=0.42; p<0.001) and this correlation were stronger in females. Conclusion: Nutritional and mental statuses of free-living elderly individuals were not in acceptable level. Therefore, it seems to be necessary that health professionals should consider these problems for promotion the quality of life for elderly as a priority.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
wanglejia完成签到,获得积分10
刚刚
五十完成签到,获得积分10
1秒前
1秒前
Echo1128完成签到 ,获得积分10
2秒前
Eutopia完成签到 ,获得积分10
2秒前
luo完成签到 ,获得积分10
3秒前
3秒前
liuxiaofeng2943完成签到 ,获得积分10
5秒前
小章鱼完成签到 ,获得积分10
6秒前
轻松元绿完成签到 ,获得积分10
7秒前
鲜于雁芙完成签到 ,获得积分10
7秒前
tfsn20完成签到,获得积分0
7秒前
ycd完成签到,获得积分10
8秒前
强哥很强完成签到,获得积分10
8秒前
昔昔完成签到 ,获得积分10
8秒前
橘桉完成签到 ,获得积分10
9秒前
长安乱世完成签到 ,获得积分10
10秒前
幽默的泥猴桃完成签到,获得积分10
10秒前
蕉鲁诺蕉巴纳完成签到,获得积分0
10秒前
weiwei完成签到 ,获得积分10
12秒前
tonight完成签到 ,获得积分10
13秒前
001完成签到,获得积分10
13秒前
13秒前
十八完成签到 ,获得积分10
14秒前
Huimin完成签到,获得积分10
17秒前
CuteG完成签到 ,获得积分10
17秒前
17秒前
20秒前
丸子完成签到 ,获得积分10
22秒前
Accept完成签到,获得积分10
22秒前
匆匆完成签到,获得积分10
23秒前
墨瞳完成签到,获得积分10
23秒前
Keyuuu30完成签到,获得积分0
24秒前
甜甜醉波完成签到,获得积分10
25秒前
poplar完成签到,获得积分10
26秒前
CodeCraft应助欧锡萍采纳,获得10
26秒前
lvlei发布了新的文献求助10
26秒前
研友_892kOL完成签到,获得积分10
26秒前
yaocx完成签到,获得积分10
26秒前
鱼鱼鱼鱼鱼完成签到 ,获得积分10
26秒前
高分求助中
All the Birds of the World 4000
Production Logging: Theoretical and Interpretive Elements 3000
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Machine Learning Methods in Geoscience 1000
Resilience of a Nation: A History of the Military in Rwanda 888
Essentials of Performance Analysis in Sport 500
Measure Mean Linear Intercept 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3729213
求助须知:如何正确求助?哪些是违规求助? 3274358
关于积分的说明 9985078
捐赠科研通 2989562
什么是DOI,文献DOI怎么找? 1640619
邀请新用户注册赠送积分活动 779260
科研通“疑难数据库(出版商)”最低求助积分说明 748145