Author(s)
Ruth Lalhmingthang .
- Manuscript ID: 140637
- Volume: 2
- Issue: 6
- Pages: 2458–2464
Subject Area: Other
Abstract
Menopause is a natural process every woman will experience, but understanding its implications is crucial. Without this knowledge, women may face a problematic premenopausal period. The objective of the study is to assess the level of knowledge score regarding premenopausal symptoms among women aged between 40-50years in a selected rural area, Aizawl, Mizoram and to find out the association between the knowledge among women aged between 40-50 years with their selected demographic variables. A quantitative research approach with a non-experimental descriptive research design was used for the study. The study was conducted among 100 women aged between 40-50 years selected through non-probability purposive sampling technique. The tool for data collection consisted of demographic variables and a self-administered questionnaire. The study categorizes knowledge into three level-Inadequate (0-11), Moderate (12-16), Adequate (17-20)-and assess their distribution across various demographic groups using the Chi-square test for statistical significance. The findings revealed that among 100 premenopausal women, 49% had inadequate knowledge, 36% had moderate knowledge, and 15% had adequate knowledge regarding premenopausal symptoms. Chi-square analysis showed a statistically significant association between knowledge score and age (x² = 6.838, p = 0.0328), marital status (x² = 14.81, p = 0.0218), educational status (x² = 17.78, p = 0.0068), occupation (x² = 18.36, p = 0.0054), and number of children (x² = 13.75, p = 0.0325). However, no significant association was found between knowledge score and monthly family income (x² = 1.982, p= 0.739), menarche (x² = 9.718, p = 0.137), menstrual cycle (x² = 6.843, p = 0.3356), previous knowledge (x² = 0.933, p = 0.6271), and type of family (x² = 4.987, p= 0.2886). Hence, the research hypothesis was accepted for age, marital status, educational status, occupation, and number of children, and rejected for income, menarche, menstrual cycle, previous knowledge and type of family.