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This study was designed to assess the influence of resistance training on salivary immunoglobulin A (IgA) levels and hormone profile in sedentary adults with Down syndrome (DS). A total of 40 male adults with DS were recruited for the trial through different community support groups for people with intellectual disabilities. All participants had medical approval for participation in physical activity. Twenty-four adults were randomly assigned to perform resistance training in a circuit with six stations, 3 days per week for 12 weeks. Training intensity was based on functioning in the eight-repetition maximum (8RM) test for each exercise. The control group included 16 age-, gender-, and BMI-matched adults with DS. Salivary IgA, testosterone, and cortisol levels were measured by ELISA. Work task performance was assessed using the repetitive weighted-box-stacking test. Resistance training significantly increased salivary IgA concentration (P=0.0120; d=0.94) and testosterone levels (P=0.0088; d=1.57) in the exercising group. Furthermore, it also improved work task performance. No changes were seen in the controls who had not exercised. In conclusion, a short-term resistance training protocol improved mucosal immunity response as well as salivary testosterone levels in sedentary adults with DS.

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La determinación del porcentaje de masa grasa en pacientes con lesión medular crónica (LMC) resulta de interés por la alta morbimortalidad cardiovascular que presenta este grupo. En el caso de deportistas, además, permitiría optimizar su rendimiento deportivo. Por consiguiente, el presente estudio se planteó como primer objetivo comparar diferentes métodos de estudio del porcentaje de masa grasa de deportistas con LMC. Y como objetivo secundario, identificar alguna ecuación que permita predecir los niveles de masa grasa de manera más económica, sencilla, rápida y no invasiva. Se diseño un estudio observacional y transversal en el que participaron voluntariamente 8 deportistas varones con LMC a nivel o por debajo de T5 que compiten a nivel nacional. El porcentaje de masa grasa corporal de los participantes se determinó mediante tres metodologías: densitometría (DEXA), antropometría convencional (Ecuación de Siri) e impedancia bioeléctrica (BIA). Este protocolo fue aprobado por un Comité de Ética Institucional. El porcentaje de masa grasa presentado por jugadores de baloncesto en silla de ruedas tras someterse al método de referencia (DEXA) fue del 28,76±9,16%. El análisis de concordancia de Bland-Altman entre métodos sugiere que tanto la antropometría convencional como la BIA subestiman el porcentaje de masa grasa de deportistas con LMC. la ecuación de predicción obtenida fue: Masa Grasa (%)= 1,9197 (pliegue tríceps (mm)) + 6,5063. Tanto las técnicas antropométricas convencionales como la propia BIA subestiman la masa grasa en deportistas con LMC. Asimismo se ha identificado una ecuación de regresión para la predicción del porcentaje de masa grasa de bajo coste y aplicable en cualquier entorno.

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.

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El presente estudio pretende identificar correlaciones estadísticamente significativas entre parámetros de masa grasa abdominal obtenidos por densitometría (DXA) y otros de tipo cineantropométrico (índices de distribución de masa grasa) y bioquímico (perfil lipídico) en mujeres postmenopausicas con síndrome metabólico. Se diseño un estudio de cohortes histórico que incluyó a un total de 1326 mujeres post-menopausicas con edad > 45 años que se habían sometido rutinariamente a DXA para conocer su densidad mineral ósea entre Enero de 2006 y Enero de 2011. Se utilizó un DXA tipo Lunar DPX-L para determinar la masa grasa abdominal en las regiones de interés L1-L4 y L3-L4. Además del DXA, se obtuvo de cada participante la correspondiente anamnesis, bioquímica, tensión arterial e índices de distribución de masa grasa mediante técnicas antropométricas convencionales. Se utilizó la clasificación NCEP-ATP-III para el diagnóstico de síndrome metabólico. Este protocolo fue aprobado por un Comité de Ética Institucional. La mayor fuerza de asociación se estableció entre el porcentaje de masa grasa L1-L4 obtenido por DXA y el perímetro de la cintura (r= 0,77; p= 0,0016) además de con colesterol-HDL (r= -0,58; p= 0,0290). Finalmente se concluye que el perímetro de la cintura y los niveles de colesterol-HDL podrían recomendarse como predictores del comportamiento de la masa grasa abdominal de regiones de interés L1-L4 y L3-L4 obtenidas por DXA en mujeres postmenopausicas con síndrome metabólico.

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.

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