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Is fat distribution a risk factor of cognitive functioning during menopause transition and beyond?
Maninder Kaur1, Raminder Kaur1
1Department of Anthropology, Panjab University, Chandigarh, India.
None:
The present study is an attempt to explore relationship, if any, between fat distribution and cognitive functioning among 222 perimenopausal as well as postmenopausal rural women of North India. Body composition characteristics and cognitive functioning of the participants was recorded by using DEXA scan and MMSE scale respectively. Women in cognitively normal category depicted significantly more weight, fat mass, trunk fat mass, android fat mass, gynoid fat mass, fat mass/height2, android and gynoid total mass than their cognitively impaired counterparts. Karl Pearson correlation coefficient exhibited that truncal fat mass had highest association with android fat mass in both cognitively normal and impaired women, while with FM/height2 in cognitively impaired women only. After adjusting age and menopausal status (Model 2), it was noticed that % body fat (β = -2.66) particularly % android fat (β = -3.74) exhibited greater risk for cognitive impairment, thereby indicating possible role of fat distribution in cognitive impairment.
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