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ISSN Print: 2394-7500, ISSN Online: 2394-5869, CODEN: IJARPF

Impact Factor: RJIF 5.2

International Journal of Applied Research

Vol. 2, Issue 11, Part F (2016)

Impact of menopause on body mass index and bone mineral density in perimenopausal women

Author(s)
Parvatha Rani N, Sujatha B and Neelambikai N
Abstract
Background: Menopause is the period of declined ovarian activity and decreased oestrogen level with increased chances of obesity and co-morbidities like Hypertension, Hyper-cholestrelaemia, impaired cognitive function and cardio vascular dysfunction. Menopausal women are at high risk of osteoporosis which increases the mortality, morbidity and socio economic burden.
Aim & Objective: To study the effect of menopause on BMI and BMD in pre and post-menopausal women.
Design: Cross sectional study.
Participants: Apparently healthy 30 post-menopausal women in the age group of 55-60 years as study subjects and 30 pre-menopausal women aged 40-45years as controls.
Methodology: The study was initiated with the approval of Institutional Ethical Committee. Standardised measurements of height and weight were taken and BMI was calculated using QUETELET’S INDEX. The bone mineral density of L1-L4 spine was estimated by DEXA Scan. The values are tabulated and analysed by Chi-square test. Statistical analysis was performed to find the association between BMI and BMD in pre and post-menopausal women.
Results: Post- menopausal women are likely to have higher BMI (Mean BMI 26.34) compared with the pre-menopausal women (24.39); p<0.05. Bone mineral density is low in pre-menopausal women when compared to post-menopausal women but statistically not significant. (p-0.8708).
Conclusion: Post-menopausal women have high BMI and higher BMD.BMI is an important anthropometric parameter which reflects the BMD.
Pages: 389-391  |  564 Views  11 Downloads
How to cite this article:
Parvatha Rani N, Sujatha B and Neelambikai N. Impact of menopause on body mass index and bone mineral density in perimenopausal women. International Journal of Applied Research. 2016; 2(11): 389-391.
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