Assessing Quality of Life and Menopausal Symptoms among Lothas of Nagaland, India


The study aims at assessing the quality of life and menopausal symptoms in rural population of Wozhuro range, Nagaland. In the studied population a sample size of 202 adult females were selected with age ranging from 35-60 years and were divided into two groups based on the menopausal status. An exclusion criterion was selected where those participants who were pregnant, undergone induced menopause and unmarried were excluded from the study. The quality of life was assessed using WHOQOL-BREF, Greene Climacteric Scale for menopausal symptoms and a structured proforma was formulated for collecting socio-demographic parameters. The mean and standard deviation in all domains of quality of life showed higher values among premenopausal as compared to postmenopausal females and the chi-square value was found to be significant for psychological, social and environmental domain. The multinomial regression suggested that those participants who had lower quality of life were at risk of developing anxiety, depression, somatic and vasomotor symptoms. Poor current health status also showed higher risk of depression whereas education did not show significant association with menopausal symptoms. Menopausal women were also found to be more at risk of developing anxiety and vasomotor symptoms. Rural females of Wozhuro range showed lower quality of life among postmenopausal females as compared with premenopausal females and poor quality of life was associated with the severity of menopausal symptoms. The study on related facts of menopausal women is important to help women undergo the distressing period of their life with ease.

Author Information
Peteneinuo Rulu, University of Delhi, India

Paper Information
Conference: ACSS2018
Stream: Anthropology, Archaeology, Cultural Studies and Humanities

This paper is part of the ACSS2018 Conference Proceedings (View)
Full Paper
View / Download the full paper in a new tab/window

Comments & Feedback

Place a comment using your LinkedIn profile


Share on activity feed

Powered by WP LinkPress

Share this Research

Posted by James Alexander Gordon