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International Journal of Advances In Case Reports

Volume 11, Issue 1, 2024
Mcmed International
International Journal of Advances In Case Reports
Issn
XXX-XXXX (Print), 2349 - 8005 (Online)
Frequency
bi-annual
Email
editorijacr@mcmed.us
Journal Home page
http://mcmed.us/about/ijacr
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Abstract
Title
ASSOCIATION BETWEEN NUTRIENT INTAKE, PHYSICAL INDICES, AGE AND BMD REFERRED FOR QUALITATIVE ULTRA SOUND
Author
Sasikala Sasikumar1*, Kannan Eagappan2, S. Karthik 3, N. Vivek4
Email
dtkannan@gmail.com
keyword
Osteoporosis, Bone mass density, BMI, Nutrients, Anthropometric indices.
Abstract
Aim To determine osteoporosis through bone mineral density and its association with nutrition and physical indices among the population in Coimbatore city, Tamil Nadu, India. The study population included 108 subjects between age groups 30- 85 years. Demographic profile and information on dietary intake was elicited using well-structured questionnaire. The Bone density of all the participants was measured by Quantitative Ultra Sound (QUS) method and the values were compared with World health organisation T – score and classified as normal or osteopenia / osteoporosis. The mean nutrient intake and anthropometric indices were correlated with levels of bone mineral density. Similarly a correlation was also analysed between mean nutrient intake and the anthropometric indices. The results were statistically analysed using SPSS Version 16. With reference to nutrients intake, the mean intake of calcium (669 ±174) and phosphorous (588 ±176) was found to be higher in the age group of 46- 60 years of the entire selected subjects. With regard to the levels of bone mass density, females were found to have a significant level (p< 0.05) of osteoporosis (37%) and only 34% of the male’s subjects were osteoporotic. Pearson correlation assessed revealed mean protein intake had a significantly positive relationship with mean height, weight and BMI. Whereas, mean fat intake had significant positive relationship only with BMI. Similarly body weight and BMI had a highly significant positive relationship with the stage of osteopenia. Hence, age, gender and body mass index are found to be the determinants in the prevalence of osteopenia in the present study.
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