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Title

Premenstrual syndrome and its relation to socio demographic variables among middle -aged women in India

 

Authors

Piyusha Mahashabde1,*, Shalini Gupta2, Shivangi Rajput3 & Santosh Kharadi4

 

Affiliation

1Department of Community Medicine, GMC, Ratlam, Madhya Pradesh, India; 2Department of Obstetrics & Gyanecology, GMC, Ratlam, Madhya Pradesh, India; 3Department of Biochemistry, GMC, Ratlam, Madhya Pradesh, India; 4Department of Anaesthesiology, Government Medical College, Ratlam, Madhya Pradesh, India; *Corresponding author

 

Email

Shalini Gupta - E-mail: Shalini.1987.sg@gmail.com; Phone: +91 755039900
Shivangi Rajput - E-mail: Shivangirajput282@gmail.com; Phone: +91 7223961705
Santosh Kharadi - E-mail: kharadisantosh10@gmail.com; Phone: +91 7024022062

Piyusha Mahashabde - E-mail: piyusha1985@gmail.com; Phone: +91 9993132837

 

Article Type

Research Article

 

Date

Received March 1, 2026; Revised March 31, 2026; Accepted March 31, 2026, Published March 31, 2026

 

Abstract

Premenstrual syndrome (PMS) is a prevalent health challenge among middle-aged females that significantly impairs their quality of life. Therefore, it is of interest to investigate the prevalence of PMS and its correlation with socio-demographic factors, addressing a critical research gap in this specific age demographic. Data were collected using a structured questionnaire and the Premenstrual Symptoms Screening Tool (PSST) to assess the impact of symptoms on social and functional health. This research advances knowledge by identifying specific demographic drivers of PMS and validating the PSST score as a vital diagnostic tool for mid-life hormonal health. Implementing these early screening strategies in healthcare facilities is essential for providing targeted interventions that substantially improve patient quality of life.

 

Keywords

Premenstrual syndrome (PMS), females, quality of life (QoL)

 

Citation

Mahashabde et al. Bioinformation 22(3): 1806-1808 (2026)

 

Edited by

P Kangueane

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.