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Se presenta una carta al editor acerca del artículo "Body fat assessment by bioelectrical impedance and its correlation with anthropometric indicators," publicado en un número anterior de la revista.

The assessment of fat mass (FM) is of great interest for people with chronic spinal cord injury (SCI) given that morbidity and mortality from cardiovascular disease are greater and occur earlier in this group. Furthermore, it may play a key role improving physical performance in athletes with SCI. For the reasons already mentioned, the current study was designed to compare different methods for assessing FM in athletes with SCI. A secondary objective was to identify a predictive equation for FM in this group that is easily reproducible elsewhere. A total of 8 male athletes with complete SCI at or below the 5th thoracic level (T5) competing in a national league volunteered for this study. The percentage of FM was assessed by three different methods: conventional anthropometry (Siri equation), bioelectrical impedance analysis (BIA) and densitometry (DEXA). This research was conducted in full accordance with ethical principles, including the World Medical Association Declaration of Helsinki (version, 2002). Furthermore, the present protocol was approved by an Institutional Ethics Committee. Mean percentage of FM assessed by DXA was 28.76±9.16%. Moreover, Bland- Altman plots suggested conventional anthropometry and BIA underestimated fat mass percentage in this group. Lastly, a predictive equation for fat mass was established as follows: FM (%)=1.9197 (triceps skinfold thickness (mm))+6.5063. It was concluded that both conventional anthropometry and BIA underestimated fat mass in athletes with chronic SCI. Furthermore, a predictive equation of fat mass was recommended for this group due to its low cost and wide availability in any clinical setting. [ABSTRACT FROM AUTHOR]

The current study was conducted to identify potential correlations between abdominal fat mass obtained by DXA and several parameters obtained by anthropometric conventional techniques as well as lipid profile in postmenopausal women with MS. This historical cohort study included a total of 1326 postmenopausal women aged > 45 years old who had routinely undergone DXA to measure their bone mineral density between January 2006 and January 2011. The regions of interest envisaged in our study by using DXA were the lumbar regions L1-L4 and L4-L5. At the same time, they underwent a complete medical examination including personal medical history assessment, biochemical blood analysis, blood pressure measurements and anthropometrical evaluation. Metabolic syndrome was diagnosed attending to the criteria established by National Cholesterol Education Program Adult The current study was conducted to identify potential correlations between abdominal fat mass obtained by DXA and several parameters obtained by anthropometric conventional techniques as well as lipid profile in postmenopausal women with MS. This historical cohort study included a total of 1326 postmenopausal women aged > 45 years old who had routinely undergone DXA to measure their bone mineral density between January 2006 and January 2011. The regions of interest envisaged in our study by using DXA were the lumbar regions L1-L4 and L4-L5. At the same time, they underwent a complete medical examination including personal medical history assessment, biochemical blood analysis, blood pressure measurements and anthropometrical evaluation. Metabolic syndrome was diagnosed attending to the criteria established by National Cholesterol Education Program Adult Treatment Panel III (NECP-ATP-III). This protocol was approved by an Institutional Ethics Committee. Several significant correlations were found between DXA and indices of body fat distribution as well as lipid profile. The strongest correlations were found between fat mass L1-L4 and waist circumference (r= 0.77; p= 0.0016) and levels of HDL-cholesterol (r= -0.58; p= 0.0290). It was concluded that waist circumference and HDL-cholesterol may be recommended to predict fat mass in regions of interest L1-L4 and L3-L4 in postmenopausal women with MS. [ABSTRACT FROM AUTHOR]