工作场所围绝经期妇女残疾指数的量表开发与验证。

IF 4 3区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Environmental Health and Preventive Medicine Pub Date : 2024-01-01 DOI:10.1265/ehpm.23-00239
Kyoko Nomura, Kisho Shimizu, Fumiaki Taka, Melanie Griffith-Quintyne, Miho Iida
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引用次数: 0

摘要

背景:更年期障碍包括一些不明显的症状,这些症状大大降低了女工的工作效率。量化更年期相关症状对工作效率的影响非常困难,因为迄今为止还没有这样的指导方针。我们的目标是为处于围绝经期的职业女性制定一个总体健康状况量表:方法:2021 年 9 月,我们在互联网上进行了一项网络调查,调查对象包括 3,645 名年龄在 45-56 岁之间的围绝经期女工。我们要求参与者回答与更年期症状相关的 76 个条目,这些条目是为本研究创建的,并对量表的开发进行了探索性和确认性因子分析。我们还使用了克朗巴赫α、接受者操作特征分析和逻辑回归分析来验证所开发的量表:结果:约 85% 的参与者没有月经或月经周期紊乱。使用最大似然法和 Promax 旋转法进行的解释性因子分析确定了 21 个具有四因子结构的项目:心理症状(8 个项目,α = 0.96);生理症状(6 个项目,α = 0.87);睡眠困难(4 个项目,α = 0.92);人际关系(3 个项目,α = 0.92)。确认性因素分析发现,四因素模型的拟合度非常好(RMSR = 0.079;TLI = 0.929;CFI = 0.938)。标准效度和并发效度也得到了证实,四个因子分别与之前验证过的更年期症状问卷和哥本哈根职业倦怠量表之间具有很高的相关系数(所有相关系数均小于 0.0001)。所开发的量表能够以 78% 的灵敏度、58% 的特异性和 0.727 (95%CI: 0.696-0.757) 的 AUC 预测旷工情况。即使在调整了哥本哈根倦怠量表的子量表后,各因子得分和量表总分越高,更有可能与更年期相关症状导致的缺勤经历相关(所有数据均小于 0.0001):我们发现所开发的量表具有很高的有效性和可靠性,可以作为围绝经期职业女性缺勤的重要指标。
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Scale development and validation of perimenopausal women disability index in the workplace.

Background: Menopausal disorders include obscure symptomatology that greatly reduce work productivity among female workers. Quantifying the impact of menopause-related symptoms on work productivity is very difficult because no such guidelines exist to date. We aimed to develop a scale of overall health status for working women in the perimenopausal period.

Methods: In September, 2021, we conducted an Internet web survey which included 3,645 female workers aged 45-56 years in perimenopausal period. We asked the participants to answer 76 items relevant to menopausal symptomatology, that were created for this study and performed exploratory and confirmatory factor analyses for the scale development. Cronbach's alpha, receiver operating characteristic analysis, and logistic regression analysis were used to verify the developed scale.

Results: Approximately 85% participants did not have menstruation or disrupted cycles. Explanatory factor analysis using the maximum likelihood method and Promax rotation identified 21 items with a four-factor structure: psychological symptoms (8 items, α = 0.96); physiological symptoms (6 items, alpha = 0.87); sleep difficulty (4 items, alpha = 0.92); human relationship (3 items, alpha = 0.92). Confirmatory factor analyses found excellent model fit for the four-factor model (RMSR = 0.079; TLI = 0.929; CFI = 0.938). Criterion and concurrent validity were confirmed with high correlation coefficients between each of the four factors, previously validated menopausal symptom questionnaire, and Copenhagen Burnout Inventory scales, respectively (all ps < 0.0001). The developed scale was able to predict absenteeism with 78% sensitivity, 58% specificity, and an AUC of 0.727 (95%CI: 0.696-0.757). Higher scores of each factor as well as total score of the scale were more likely to be associated with work absence experience due to menopause-related symptoms even after adjusting for Copenhagen Burnout Inventory subscales (all ps < 0.0001).

Conclusion: We found that the developed scale has high validity and reliability and could be a significant indicator of absenteeism for working women in perimenopausal period.

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来源期刊
Environmental Health and Preventive Medicine
Environmental Health and Preventive Medicine PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH -
CiteScore
7.90
自引率
2.10%
发文量
44
审稿时长
10 weeks
期刊介绍: The official journal of the Japanese Society for Hygiene, Environmental Health and Preventive Medicine (EHPM) brings a comprehensive approach to prevention and environmental health related to medical, biological, molecular biological, genetic, physical, psychosocial, chemical, and other environmental factors. Environmental Health and Preventive Medicine features definitive studies on human health sciences and provides comprehensive and unique information to a worldwide readership.
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