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用于机构环境的中国营养筛查工具(CNS)的开发。

Development of the Chinese nutrition screen (CNS) for use in institutional settings.

作者信息

Woo J, Chumlea W C, Sun S S, Kwok T, Lui H H, Hui E, Fang N Y, Fan Y P

机构信息

Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, NT, Hong Kong.

出版信息

J Nutr Health Aging. 2005 Jul-Aug;9(4):203-10.

Abstract

OBJECTIVES

To develop and validate a nutritional screening tool (CNS) for elderly Chinese subjects in the institutional setting.

DESIGN

Using the MNA as a guide, a questionnaire was developed appropriate for the Chinese health care system, diet, food customs and culture, using physician assessment for comparison.

PARTICIPANTS

200 men and 200 women aged 65 years or older, approximately equally distributed by age between two cities in China (Hong Kong and Shanghai), were recruited from hospitals and old age homes for the reliability study. 340 men and 527 women were recruited for the validity study.

RESULTS

The CNS compared with physician assessments based on two groups, normal or at risk with less than normal nutritional status, had kappa coefficients of 0.5 overall and were as high as 0.8 in Shanghai. CNS was able to identify about 90% of all persons with normal nutritional status and had about a 60% chance of correctly identifying a person at risk with a less than normal nutritional status.

CONCLUSION

The CNS can be used in a 2-group classification to identify those who have a normal nutritional status (CNS > or = 21). Those who do not fall into this group should have their nutritional status evaluated in greater detail (CNS score < or = 20). The applicability of screening tools may vary depending on the site and the population characteristics.

摘要

目的

开发并验证一种适用于机构环境中中国老年人的营养筛查工具(CNS)。

设计

以微型营养评定法(MNA)为指导,开发一份适合中国医疗保健系统、饮食、食物习俗和文化的问卷,并与医生评估结果进行比较。

参与者

从医院和养老院招募了200名男性和200名65岁及以上的女性参与可靠性研究,年龄在中国两个城市(香港和上海)大致平均分布。340名男性和527名女性参与有效性研究。

结果

将CNS与基于两组(营养状况正常或处于营养状况低于正常风险)的医生评估结果进行比较,总体kappa系数为0.5,在上海高达0.8。CNS能够识别出约90%营养状况正常的人,正确识别营养状况低于正常风险人群的概率约为60%。

结论

CNS可用于两组分类,以识别营养状况正常的人(CNS≥21)。未归入该组的人应更详细地评估其营养状况(CNS评分≤20)。筛查工具的适用性可能因地点和人群特征而异。

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