A Study of Menstrual Disorders in Reproductive Age Group and Its Correlation with Biological Variables

Authors

  • Dr. Mayur V. Savsani  SRKay Consulting Group, Surat, Gujarat, India
  • Riddhi R. Solanki  Department of Statistics, Saurashtra University, Rajkot, Gujarat, India

Keywords:

Life style, Stress, Menstrual Disorders, Descriptive Statistics, Chi – Square test

Abstract

The present study was a cross sectional design based on the structured questionnaire on a sample size of 384. The self-reported information about the menstrual cycles can be influenced by subjective bias related to the memory and recall of all the events that have happened earlier. In the present study, we attempted to correlate various lifestyle factors like BMI, Consumption of Junk Food and Physical Exercise with the menstrual problems experienced by the females. In this study, 52% of the participants had regular/fairly regular menstrual cycles, whereas 11.5% had irregular cycles and 35.7% had nearly always regular cycle. Dysmenorrhea and premenstrual mood swings were experienced by significant number of students with normal body weight is 14.84%. Dysmenorrhea, premenstrual mood swings and heavy flow were the main cause for absence from class/college/workplace. We come to know that association between life style and menstrual disorder. Infrequent cycles were associated with being over weighted and consumption of junk food, p-value for H01 is 0.032 < 0.05, so there is association between BMI and Irregular menstrual cycle. However, p-value for H02 is 0.000094 < 0.05, so there is association between junk food and irregular cycle. Whereas p-value for H03 is 0.119 > 0.05 so there is no association between exercise and irregular cycle. Many other association we made in this paper.

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Published

2018-02-28

Issue

Section

Research Articles

How to Cite

[1]
Dr. Mayur V. Savsani, Riddhi R. Solanki, " A Study of Menstrual Disorders in Reproductive Age Group and Its Correlation with Biological Variables, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 4, Issue 2, pp.1428-1437, January-February-2018.