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Correlation of Fat Mass Index and Fat-Free Mass Index with percentage body fat and their association with hypertension among urban South Indian adult men and women

K. Mallikharjuna Rao, Nimmathota Arlappa, Madhari S. Radhika, Nagalla Balakrishna, Avula Laxmaiah, G. N. V. Brahmam

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Abstract

BACKGROUND: The assessment of Fat Mass and Fat-Free Mass indices provides valuable information about changes in body composition. AIM: To identify cut-off points for Fat Mass Index (FMI) to predict an upper limit of percentage body fat of men (25%) and women (30%) for defining obesity and its association with hypertension. SUBJECTS AND METHODS: A total of 436 men and 596 women were included in the study. Fat mass was calculated using skin-fold measurements. FMI cut-off points to predict an upper limit of percentage body fat of 25% (men) and 30% (women) for defining obesity were assessed using Receiver Operating Characteristic (ROC) curve analysis. RESULTS: ROC curve analysis indicated that the level of FMI was 6.59 kg/m(2) in men and 6.64 kg/m(2) in women at 25% and 30% body fat, respectively. Risk estimation for hypertension with FMI indicated high risk of hypertension in men (OR: 3.4, CI: 2.1-5.5) as well as in women (OR: 5.3, CI: 2.3-12.4). CONCLUSION: The level of FMI was 6.6 kg/m(2) in men and women predicted at upper limits of 25% and 30% body fat, respectively, for defining obesity.

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BACKGROUND: The assessment of Fat Mass and Fat-Free Mass indices provides valuable information about changes in body composition. AIM: To identify cut-off points for Fat Mass Index (FMI) to predict an upper limit of percentage body fat of men (25%) and women (30%) for defining obesity and its association with hypertension. SUBJECTS AND METHODS: A total of 436 men and 596 women were included in the study. Fat mass was calculated using skin-fold measurements. FMI cut-off points to predict an upper limit of percentage body fat of 25% (men) and 30% (women) for defining obesity were assessed using Receiver Operating Characteristic (ROC) curve analysis. RESULTS: ROC curve analysis indicated that the level of FMI was 6.59 kg/m(2) in men and 6.64 kg/m(2) in women at 25% and 30% body fat, respectively. Risk estimation for hypertension with FMI indicated high risk of hypertension in men (OR: 3.4, CI: 2.1-5.5) as well as in women (OR: 5.3, CI: 2.3-12.4). CONCLUSION: The level of FMI was 6.6 kg/m(2) in men and women predicted at upper limits of 25% and 30% body fat, respectively, for defining obesity.

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Available abstract

BACKGROUND: The assessment of Fat Mass and Fat-Free Mass indices provides valuable information about changes in body composition. AIM: To identify cut-off points for Fat Mass Index (FMI) to predict an upper limit of percentage body fat of men (25%) and women (30%) for defining obesity and its association with hypertension. SUBJECTS AND METHODS: A total of 436 men and 596 women were included in the study. Fat mass was calculated using skin-fold measurements. FMI cut-off points to predict an upper limit of percentage body fat of 25% (men) and 30% (women) for defining obesity were assessed using Receiver Operating Characteristic (ROC) curve analysis. RESULTS: ROC curve analysis indicated that the level of FMI was 6.59 kg/m(2) in men and 6.64 kg/m(2) in women at 25% and 30% body fat, respectively. Risk estimation for hypertension with FMI indicated high risk of hypertension in men (OR: 3.4, CI: 2.1-5.5) as well as in women (OR: 5.3, CI: 2.3-12.4). CONCLUSION: The level of FMI was 6.6 kg/m(2) in men and women predicted at upper limits of 25% and 30% body fat, respectively, for defining obesity.

Key concepts: Fat free mass, Body mass index, Classification of obesity, Medicine, Body adiposity index, Fat mass, Internal medicine, Body volume index

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Correlation of Fat Mass Index and Fat-Free Mass Index with percentage body fat and their association with hypertension among urban South Indian adult men and women — Research Paper | ScholarLens