在慢性疾病患者中对失眠严重程度指数的心理测量评估,使用三个互补的方法
Firoj Al-Mamun1,2, Mohammed A Mamun1,2,3, Mohammad Arif1,4
1CHINTA Research Bangladesh, Savar, Dhaka, Bangladesh.
Brain and behavior
|November 11, 2025
概括
孟加拉失眠严重程度指数 (ISI-Bangla) 是评估孟加拉长期疾病的成年人失眠的有效工具. 这种经过验证的尺度支持该地区的临床使用和研究.
科学领域:
- 心理测量 心理测量 心理测量
- 临床心理学 临床心理学
- 公共卫生 公共卫生
背景情况:
- 失眠在慢性疾病患者中很常见,恶化健康和生活质量.
- 在发展中国家,有效的失眠评估工具很少.
- 这项研究验证了孟加拉国慢性病患者的孟加拉语版本的失眠严重性指数 (ISI-Bangla).
研究的目的:
- 评估孟加拉语版失眠严重性指数 (ISI-Bangla) 的心理测量特性.
- 评估ISI-Bangla在患有慢性疾病的孟加拉成年人的有效性和可靠性.
- 探索ISI-Bangla的因子结构和测量不变性.
主要方法:
- 确认因素分析 (CFA) 测试因子结构和性别不变性.
- 拉什建模检查项目合适性,可靠性和响应类别.
- 网络分析以探索症状的相互关系,中心性和性别不变性.
主要成果:
- 一个双因素模型 (夜间症状,白天影响) 显示出最好的适应性和可解释性.
- 所有项目都显示出强大的因子负载和内部一致性,支持跨性别测量不变性.
- 拉什分析证实了项目合适性和可靠性,而网络分析确定了关键的中心和桥梁症状,跨性别网络结构不变.
结论:
- 孟加拉国情监测仪 (ISI-Bangla) 是一款用于评估患有慢性疾病的孟加拉成年人失眠的心理测量仪器.
- 双因素模型为ISI-Bangla提供了一个强大的结构.
- 该研究强调了整合CFA,Rasch和网络分析的实用性,以进行全面的规模验证.
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