The SF-36 summary scales were valid, reliable, and equivalent in a Chinese population

等价(形式语言) 联营 人口 医学 统计 SF-36型 可靠性(半导体) 标准误差 心理学 中国人口 比例(比率) 人口学 数学 内科学 生物 地理 计算机科学 疾病 环境卫生 地图学 遗传学 物理 健康相关生活质量 功率(物理) 人工智能 社会学 基因型 离散数学 基因 量子力学
作者
Cindy Lo Kuen Lam,Eileen Y. Y. Tse,Barbara Gandek,Dyt Fong
出处
期刊:Journal of Clinical Epidemiology [Elsevier BV]
卷期号:58 (8): 815-822 被引量:254
标识
DOI:10.1016/j.jclinepi.2004.12.008
摘要

Abstract

Objectives

To find out whether the SF-36 physical and mental health summary (PCS and MCS) scales are valid and equivalent in the Chinese population in Hong Kong (HK).

Study Design and Setting

The SF-36 data of a cross-sectional study on 2,410 Chinese adults randomly selected from the general population in HK were analyzed.

Results

The hypothesized two-factor structure of the physical and mental health summary scales (PCS and MCS) was replicated and the expected differences in scores between known morbidity groups were shown. The internal reliability coefficients of the PCS and MCS scales ranged from 0.85 to 0.87. The effect size differences between the U.S. standard and HK-specific PCS and MCS scores were mostly <0.5. The effect size differences in the standard PCS and MCS scores of specific groups between the U.S. and H.K. populations were all <0.5.

Conclusion

The PCS and MCS scales were applicable to the Chinese population in HK. The high level of measurement equivalence of the scales between the U.S. and H.K. populations suggests that data pooling between the two populations could be possible. To our knowledge, this is the first study to show that the SF-36 summary scales are valid and equivalent in an Asian population.

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
tango发布了新的文献求助10
1秒前
爱你沛沛完成签到 ,获得积分10
1秒前
mindi完成签到,获得积分10
2秒前
yiyi完成签到,获得积分10
2秒前
5秒前
5秒前
6秒前
哆啦小鱼完成签到,获得积分10
9秒前
庚人发布了新的文献求助10
9秒前
11秒前
11秒前
11秒前
11秒前
11秒前
11秒前
12秒前
12秒前
12秒前
12秒前
12秒前
12秒前
12秒前
12秒前
彭于晏应助爱撒娇的又菡采纳,获得10
12秒前
打打应助科研通管家采纳,获得10
13秒前
小小牛马应助科研通管家采纳,获得10
13秒前
闻山应助科研通管家采纳,获得10
13秒前
闻山应助科研通管家采纳,获得10
13秒前
14秒前
16秒前
汪汪队立大功完成签到,获得积分10
17秒前
孙努力发布了新的文献求助10
17秒前
lzy发布了新的文献求助10
17秒前
18秒前
18秒前
周小博完成签到,获得积分10
20秒前
FashionBoy应助小深采纳,获得30
21秒前
21秒前
22秒前
0lessthan2发布了新的文献求助20
22秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1000
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Photodetectors: From Ultraviolet to Infrared 500
信任代码:AI 时代的传播重构 450
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6357856
求助须知:如何正确求助?哪些是违规求助? 8172365
关于积分的说明 17207840
捐赠科研通 5413315
什么是DOI,文献DOI怎么找? 2865033
邀请新用户注册赠送积分活动 1842556
关于科研通互助平台的介绍 1690663