--- title: What non-drug methods do teenage girls use to manage PMS? | Niyora description: Many teenage girls use non-drug approaches like rest, music, relaxation, and dietary changes for PMS. However, this study only describes what they do, not whe url: https://niyora.com/research/papers/non-pharmacological-measures-adopted-by-adolescent-girls-to-manage-premenstrual-2026/ --- - [Niyora](https://niyora.com/) - [Research](https://niyora.com/research/) - [Library](https://niyora.com/research/library/) - What non-drug methods do teenage girls use to manage PMS? Survey study, 2026 # What non-drug methods do teenage girls use to manage PMS? Many teenage girls use non-drug approaches like rest, music, relaxation, and dietary changes for PMS. However, this study only describes what they do, not whether these methods actually work. Early or limited evidence 200 girls aged 13–14 ## What they did 200 girls aged 13–14 answered questions about their PMS and menstrual symptoms and the non-drug methods they used to manage them. ## What they found Most girls experienced PMS and menstrual symptoms including abdominal pain, mood swings, and food cravings. They commonly used home remedies, adequate rest, relaxation techniques, music therapy, hygiene practices, and dietary modifications such as avoiding junk food and increasing fluid intake. ## What it means for you Many teenage girls are trying non-drug approaches to manage PMS, which is helpful to know. This study only describes what they do, not whether these methods work or how they compare to other approaches. 200 adolescent girls studied 13-14 age range in years ## About the study Original title Non-pharmacological Measures Adopted By Adolescent Girls to Manage Premenstrual and Menstrual Syndrome- A Descriptive Study Authors Mrudula E.S, Usha Marath, Fathima Nourin C.N - et al. Journal International Journal For Multidisciplinary Research Year 2026 Study design Survey study Participants 200 Open access Yes Read the paper [doi.org/10.36948/ijfmr.2026.v08i04.84747](https://doi.org/10.36948/ijfmr.2026.v08i04.84747) Original abstract This study aimed to explore the knowledge and practices of individuals regarding PMS, with a particular focus on the non-pharmacological methods used and the factors influencing their adoption.A quantitative cross-sectional descriptive design was adopted, among 200 adolescent girls by using non-probability convenience sampling technique. Data were collected using a socio-demographic performa and a semi-structured questionnaire(Non-pharmacological measures adopted for premenstrual and menstrual syndrome).The findings revealed that most participants, aged 13–14 years, experienced PMS and menstrual symptoms such as abdominal pain, mood swings, and food cravings. Commonly used non-pharmacological measures included home remedies, adequate rest, relaxation techniques, music therapy, hygiene practices, and dietary modifications such as avoiding junk food and increasing fluid intake.Non-pharmacological measures, Adolescent girls, PMS Reproduced under CC-BY-SA. ## Topics [Premenstrual syndrome (PMS)](https://niyora.com/research/topics/condition-pms/)[Adolescents and young people](https://niyora.com/research/topics/life-area-adolescents/) Research tells you what helps on average. Niyora helps on the day it hits. Calm down, see it another way, and decide what to say, with a PMS and PMDD app built by a doctor. ## Related studies Randomised trial, 2026 Does aerobic or resistance exercise reduce anxiety in women with PMS? Cohort study, 2025 How common is PMS in Chinese teenage girls, and what factors are linked to it? Systematic review, 2025 Does alcohol use affect menstrual health in teenage girls? Systematic review, 2025 Does teaching adolescent girls about their menstrual cycle and health help reduce period pain and PMS? Randomised trial, 2024 Does curcumin-piperine combination improve antioxidant activity in women with PMS and period pain? Systematic review, 2024 How common is premenstrual syndrome in Africa, and what factors increase the risk? Ask AI about this page Copy prompt ChatGPT ↗ Claude ↗ Perplexity ↗ Google AI Mode ↗ Grok ↗