International Journal of Midwifery Nursing And Practices Original Research

A Study to Assess the Effectiveness of a Structured Teaching Plan on Knowledge Regarding Premenstrual Symptoms Among Early Adolescent Girls in Selected Schools of Agra

  1. Tanuja Singh Department of nursing, Sarojini Naidu Medical College, Agra
  2. Manisha Gond Department of nursing, Sarojini Naidu Medical College, Agra
  3. Himanshi Kukreti Department of nursing, Sarojini Naidu Medical College, Agra
  4. Deepanjali Bagla Department of nursing, Sarojini Naidu Medical College, Agra
  5. Ankita Maurya Department of nursing, Sarojini Naidu Medical College, Agra
  6. Rakesh Kumar Yadav Department of nursing, Sarojini Naidu Medical College, Agra
  7. Seema Yadav Department of nursing, Sarojini Naidu Medical College, Agra

Abstract

Premenstrual symptoms are commonly experienced by many women and can have a considerable impact on their everyday functioning and overall well-being. These symptoms involve physical, emotional, and behavioral changes that occur during the luteal phase of the menstrual cycle, with different levels of severity. The present study was conducted to evaluate the effectiveness of a structured teaching plan on knowledge regarding premenstrual symptoms among early adolescent girls in selected schools of Agra. The study aimed to assess knowledge levels before and after the intervention, determine the effectiveness of the teaching programme, and examine the relationship between pretest knowledge scores and selected demographic factors. The study was carried out at St. Vincent’s Girls Higher Secondary School, Agra, using a sample of 40 early adolescent girls selected from the accessible population. The findings showed that in the pretest, 15% of participants had poor knowledge, 77.5% had average knowledge, and 7.5% had good knowledge. Following the structured teaching plan, improvement was observed in the posttest, where 7.5% had poor knowledge, 70% had average knowledge, and 22.5% had good knowledge. The posttest mean knowledge score was higher than the pretest score, indicating the effectiveness of the intervention. Statistical analysis using the chi-square test revealed a significant association between awareness of premenstrual symptoms and pretest knowledge scores, whereas other demographic variables did not show any significant association. Overall, the study concluded that the structured teaching plan was effective in enhancing knowledge regarding premenstrual symptoms among early adolescent girl.

Keywords

References (28)

  1. Yesildere Saglam H, Orsal O. Effect of exercise on premenstrual symptoms: A systematic review. Complementary Therapies in Medicine. 2020;48:102272. doi:10.1016/j.ctim.2019.102272
  2. Schoep ME, Nieboer TE, van der Zanden M, Braat DDM, Nap AW. The impact of menstrual symptoms on everyday life: a survey among 42,879 women. American Journal of Obstetrics and Gynecology. 2019;220(6):569.e1-569.e7. doi:10.1016/j.ajog.2019.02.048
  3. Bu L, Lai Y, Deng Y, Xiong C, Li F, Li L, et al. Negative Mood Is Associated with Diet and Dietary Antioxidants in University Students During the Menstrual Cycle: A Cross-Sectional Study from Guangzhou, China. Antioxidants. 2019;9(1):23. doi:10.3390/antiox9010023
  4. Epperson CN, Steiner M, Hartlage SA, Eriksson E, Schmidt PJ, Jones I, et al. Premenstrual Dysphoric Disorder: Evidence for a New Category for DSM-5. American Journal of Psychiatry. 2012;169(5):465-475. doi:10.1176/appi.ajp.2012.11081302
  5. Halbreich U. The diagnosis of premenstrual syndromes and premenstrual dysphoric disorder - clinical procedures and research perspectives. Gynecological Endocrinology. 2004;19(6):320-334. doi:10.1080/0951590400018215
  6. Halbreich U, Borenstein J, Pearlstein T, Kahn LS. The prevalence, impairment, impact, and burden of premenstrual dysphoric disorder (PMS/PMDD). Psychoneuroendocrinology. 2003;28:1-23. doi:10.1016/s0306-4530(03)00098-2
  7. Yang M, Wallenstein G, Hagan M, Guo A, Chang J, Kornstein S. Burden of Premenstrual Dysphoric Disorder on Health-Related Quality of Life. Journal of Women's Health. 2008;17(1):113-121. doi:10.1089/jwh.2007.0417
  8. Bharadwaj B, Bhuvaneswari K, Rabindran P. Prevalence of premenstrual syndrome and its impact on quality of life among selected college students in Puducherry. The National Medical Journal of India. 2019;32(1):17. doi:10.4103/0970-258x.272109
  9. Frey Nascimento A, Gaab J, Kirsch I, Kossowsky J, Meyer A, Locher C. Open-label placebo treatment of women with premenstrual syndrome: study protocol of a randomised controlled trial. BMJ Open. 2020;10(2):e032868. doi:10.1136/bmjopen-2019-032868
  10. Rapkin AJ, Mikacich JA. Premenstrual Dysphoric Disorder and Severe Premenstrual Syndrome in Adolescents. Pediatric Drugs. 2013;15(3):191-202. doi:10.1007/s40272-013-0018-4
  11. Strine TW, Chapman DP, Ahluwalia IB. Menstrual-Related Problems and Psychological Distress among Women in the United States. Journal of Women's Health. 2005;14(4):316-323. doi:10.1089/jwh.2005.14.316
  12. Dennerstein L, Lehert P, Heinemann K. Global epidemiological study of variation of premenstrual symptoms with age and sociodemographic factors. Menopause International. 2011;17(3):96-101. doi:10.1258/mi.2011.011028
  13. Upadhyay M, Mahishale A, Kari A. Prevalence of premenstrual syndrome in college going girls - A cross sectional study. Clinical Epidemiology and Global Health. 2023;20:101234. doi:10.1016/j.cegh.2023.101234
  14. World Health Organization. Menstrual health and hygiene. Geneva: World Health Organization; 2021.
  15. Royal College of Obstetricians and Gynaecologists. Premenstrual syndrome (PMS). London: Royal College of Obstetricians and Gynaecologists; 2022.
  16. Rathi C, Sahu S, Kanhere A. Prevalence and impact of premenstrual syndrome among adolescent girls in India: A cross-sectional study. J Family Med Prim Care. 2020;9(12):5901–5906. doi:10.4103/jfmpc_1256_20.
  17. International Institute for Population Sciences (IIPS), ICF. National Family Health Survey (NFHS-5), 2019–21: India fact sheet. Mumbai: IIPS; 2021.
  18. Kumari P, Gupta R. Awareness and experience of premenstrual syndrome among adolescent girls in Uttar Pradesh. Indian J Adolesc Health. 2021;8:45–50.
  19. Patil S, Deshmukh N, Jadhav S. Prevalence of premenstrual symptoms and awareness among school-going adolescent girls in Maharashtra. J Clin Diagn Res. 2019;13(5):QE01–QE05. doi:10.7860/JCDR/2019/40987.12838.
  20. Ministry of Health and Family Welfare. Rashtriya Kishor Swasthya Karyakram (RKSK) Strategy Handbook. New Delhi: Government of India; 2018.
  21. Sharma P, Yadav R, Meena S. A descriptive study conducted among 120 adolescent girls in Jaipur to assess the prevalence and understanding of premenstrual symptoms. Int J Nurs Health Sci. 2021;8:34–38.
  22. Thomas A, Priya S. Knowledge and experience of premenstrual symptoms among high school girls in Kerala. J Adolesc Health Care.
  23. Patil R, Naik M, Deshpande M. A cross-sectional study on prevalence of physical symptoms of premenstrual symptoms among adolescent girls in Maharashtra and awareness of premenstrual syndrome. Indian J Adolesc Med. 2019;11(8):112–117.
  24. B Bantanur Jayashree S. A Study to Assess the Premenstrual Symptoms among Adolescent Girls Studying in B. V. V. S Girls High School of Bagalkot. International Journal of Science and Research (IJSR). 2023;12(4):985-988. doi:10.21275/sr23416105357
  25. Rijal S, Shrestha G. Factors associated with premenstrual symptoms: a study among graduate-level students of the institute of science and technology, Tribhuvan university. BMC Women's Health. 2025;25(1). doi:10.1186/s12905-025-03925-7
  26. Sharen A, Brundha MP, Sinduja P, Priyadharshini R. Knowledge and Awareness on Premenstrual Symptoms – A Cross Sectional Survey. Journal of Pharmaceutical Research International. 2021:4014-4024. doi:10.9734/jpri/2021/v33i60b35107
  27. Funnell EL, Martin-Key NA, Bahn S. Improving care experiences for premenstrual symptoms and disorders in the United Kingdom (UK): a mixed-methods approach. BMC Health Services Research. 2025;25(1). doi:10.1186/s12913-024-12140-3
  28. Funnell EL, Martin-Key NA, Tomasik J, Bahn S. Identifying predictors of formal help-seeking for premenstrual symptoms: A machine learning analysis of symptom, functional impairment and barriers data. PLOS Mental Health. 2025;2(8):e0000274. doi:10.1371/journal.pmen.0000274