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To assess the nutrition status and to know the menopausal problems of middle aged women. The study was conducted in rural and urban areas of Dharwad and Bagalkote districts. On the whole 480 menopausal women were recruited for the study. Menopause Rating Scale and anthropometric measurements techniques were used to gather the information. The results revealed that Majority (26-34 %) of the women aged between 46-50 years while 24-32 per cent of them were aged between 51-55 years followed by 40-45 years (23-30 %) and 35-39 years (11-19 %). Half of the respondents (50.00 %) were homemakers while 10-30 per cent were involved in farm activities and 11-22 per cent of them worked as daily wagers Majority (43-47%) of working women experienced severe and 40-50% of non-working women reported mild menopausal symptoms such as somatic, psychological and urogenital symptoms. There was a significant difference and association was observed between working and non-working women in menopausal symptoms. Majority (35-43 %) of the respondents belonged to lower middle SES status followed by upper middle class (20-32 %) and 15-29 per cent of them were in poor SES category in both rural and urban area of Dharwad and Bagalkote district. According to BMI, 30-43% of the respondents were overweight followed by 20-41% were obese. According to LBMI, majority (39-50%) of the respondents belonged to obese category and 30-45% of them were take-care to category. On the whole BMI, WHTR and LBMI were predicting 53% on menopausal problems.
Keywords:
Menopause, symptoms, nutrition
Cite Article:
"Impact of nutrition status on menopausal problems", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 8, page no.1327 - 1332, August-2022, Available :http://www.ijrti.org/papers/IJRTI2208216.pdf
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000205233
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator