Exploring heterogeneity of perimenopause with application of multivariable analysis approaches
Zhongyu Huang, Huazhi You, Lijuan Li, Shuang Wang, Zipan Lyu, Xiaoqin Zeng, Changyan Zhu, Minqing Li, Han Yan, Yaojuan He · 2024
Read Exploring heterogeneity of perimenopause with application of multivariable analysis approaches by Zhongyu Huang, Huazhi You, Lijuan Li, Shuang Wang, Zipan Lyu, Xiaoqin Zeng, Changyan Zhu, Minqing Li, Han Yan, Yaojuan He (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11619569.txt.
Description
Zhongyu Huang and nine co-authors sort the varied faces of perimenopause into profiles, in a 2024 study from Guangzhou, China. Perimenopause looks different from woman to woman, which makes tailored care hard. The team built an assessment frame from four scales covering insomnia, menopause symptoms, anxiety, and depression. They checked the frame's quality with modern item analysis, then built a computer adaptive test that picks questions based on prior answers.
That groundwork supports latent profile analysis, which groups women by symptom patterns rather than by single scores. Distinct profiles can guide distinct care plans instead of one-size advice. The two-phase study design lets the measurement tool and the profiling method be validated in sequence, a careful path for a field built on self-report.
Catalog record
| CREATOR | Zhongyu Huang, Huazhi You, Lijuan Li, Shuang Wang, Zipan Lyu, Xiaoqin Zeng, Changyan Zhu, Minqing Li, Han Yan, Yaojuan He |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 40 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |