Home-based treadmill training improved seminal quality in adults with type 2 diabetes.

OBJECTIVE: This was the first study conducted to determine the influence of home-based treadmill training on seminal quality in adults with type 2 diabetes. MATERIAL AND METHODS: Sixty sedentary adults with type 2 diabetes volunteered for the current study. Thirty were randomly allocated to the intervention group and performed a a 14-week, home-based, treadmill training program, 3 sessions per week, consisting of a warm-up (10-15min), 40min treadmill exercise at a work intensity of 55-70% of peak heart rate (increasing by 2.5% each two weeks) measured during a maximal treadmill test, and cooling-down (5-10min). The control group included 30, age and BMI matched adults with type 2 diabetes who did not take part in any training program. Seminal quality analysis included semen volume, sperm concentration, motility and normal morphologic features. Furthermore, total antioxidant status (TAS) as well as glutathione peroxidase (GPX) activity were assessed in seminal plasma. This protocol was approved by an Institutional Ethics Committee. RESULTS: The home-based treadmill training significantly increased sperm concentration as well as percentages of total sperm motility and normal spermatozoa. Furthermore, TAS and GPX activity were increased after the completion of the training program. No significant changes in any of the measured variables were found in the control group. CONCLUSIONS: Home-based treadmill training improved seminal quality in adults with type 2 diabetes. A secondary finding was that seminal antioxidant defense system was significantly increased after being exercised.

Ecuación predictora de masa grasa corporal en deportistas con lesión medular crónica: estudio piloto / Predictive equation of body fat percentage in athletes with chronic spinal cord injury: a pilot study

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.

Correlaciones entre marcadores de grasa abdominal obtenidos por densitometría y técnicas antropométricas convencionales en mujeres postmenopausicas con síndrome metabólico / Correlations between markers of abdominal fat obtained by dxa and anthropometric conventional techniques in postmenopausal women with metabolic syndrome

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.

Central obesity measurements predict metabolic syndrome in a retrospective cohort study of postmenopausal women.

INTRODUCTION: The various diagnostic classifications in the literature concur as regards the important role of abdominal obesity in the onset and progression of metabolic syndrome. Accordingly, this study was aimed at clarifying whether central obesity measurements assessed by dual X-ray absorptiometry (DXA) may predict metabolic syndrome in Spanish postmenopausal women. MATERIAL AND METHODS: 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 (ROI) 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 measurement and anthropometrical evaluation. Metabolic syndrome was diagnosed attending to the criteria established by National Cholesterol Education Program Adult Treatment Panel III (NECP-ATP-III). RESULTS: During the observation period, 537 women, representing 40.5% of the total studied, met the diagnostic criteria for metabolic syndrome. L1-L4 and L4-L5 abdominal fat mass determinations were associated with the development of metabolic syndrome in all regression models tested, showing an increasing gradient from the lowest to highest quintile. CONCLUSION: Central adiposity measurements assessed by DXA, especially L1-L4 region of interest, could be considered a powerful predictor of metabolic syndrome in postmenopausal women.

Introducción: En la actualidad se acepta la importancia de la masa grasa abdominal en la fisiopatología del síndrome metabólico tal y como reconocen las diferentes clasificaciones diagnósticas disponibles. Nuestro objetivo fue analizar la utilidad como predictores de síndrome metabólico de marcadores de grasa abdominal obtenidos por DEXA en mujeres postmenopausicas aprovechando su participación en screening rutinarios para el estudio de la densidad mineral ósea. Material y método: El presente estudio de cohortes histórico incluyó a un total de 1326 mujeres post-menopausicas con edad > 45 años que se habían sometido rutinariamente a DEXA para conocer su densidad mineral ósea entre Enero de 2006 y Enero de 2011. Además del DEXA, 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. Resultados: Durante el periodo de observación, 537 mujeres, el 40.5% del total de las estudiadas, cumplió los criterios diagnósticos de síndrome metabólico. Los parámetros de masa grasa abdominal obtenidos mediante DEXA fueron significativamente mayores en mujeres postmenopáusicas con síndrome metabólico. Finalmente, la masa grasa abdominal de regiones de interés L1-L4 y L3-L4 obtenidas por DEXA se relacionaron con el desarrollo de síndrome metabólico en los modelos de regresión ensayados. Conclusión: La masa grasa abdominal determinada por DEXA, especialmente la región L1-L4, podría recomendarse como predictor de síndrome metabólico en este grupo.