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Tropical and subtropical milk production herds in Mexico generally generate different types of milk-yield records as milk yield per month and mean production per month. Lactation curves generated by these types of records may contribute to understand milk production in the tropical regions of Mexico. The aim of this study was to compare five lactation-curve models fitted to two types of milk-yield records of Holstein, Brown Swiss, and F1 crossbred cows under subtropical conditions. The two types of records (n = 3756) used were: (1) milk yield per month (TR) and 2) mean production per months (MR). Goodness-of-fit statistics, including Akaike's information criterion (AIC) and root mean square error (RMSE), were applied to compare the models for each type of records. The Brody model provided the best goodness-of-fit when using monthly milk-yield records, while the Wilmink model provided the best goodness-of-fit for lactation milk-yield records. The RMSE and AIC values were similar between datasets. The final third of the lactation curve showed a little difference between model predictions in both datasets. The comparison of several models was useful to better describe the actual lactation curves of the herd. The Wood model may be adequate to compare information as a reference with other models for decision making process at milk production.

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Objective To compare frequency of sleep disorders (SD) and executive dysfunction (ED) in children with attention deficit-hyperactivity disorder (ADHD) and a control group. Method We studied 156 children with ADHD with a mean age of 8.5 years, and a control group with 111 children with a mean age of 8.3 years. We utilized the Pediatric Sleep Questionnaire (PSQ) to screen SD and the working memory measurement from the Wechsler intelligence scale for children (WISC-IV) to screen ED. Results We did not observe an increased frequency of SD in children with ADHD compared with the controls. However, we did identify ED in children with ADHD; additionally a significant correlation was observed between the type of ADHD and SD and among ED, WISC-IV measurements, and type of SD in children with ADHD. Conclusion An increase of SD frequency in children with ADHD was not observed, but we did identify ED in children with ADHD. Additionally, a correlation among ADHD types, SD, ED, and WISC-IV measurements was observed in children with ADHD. .

Objetivo Comparar la frecuencia de trastornos del sueño (TS) y disfunción ejecutiva (DE) en niños con trastorno por déficit de atención-hiperactividad (TDA-H) y un grupo control. Método Estudiamos 156 niños con TDA-H con una media de 8,5 años. El grupo control incluyó 111 niños con una media de 8,3 años. Utilizamos la versión traducida del Cuestionario pediátrico del sueño (CPS) para tamizar TS. Para estudiar la DE, usamos la medición de la memoria de trabajo de la escala de inteligencia de Wechsler para niños-IV (WISC-IV). Resultados No encontramos una mayor frecuencia de TS en niños con TDA-H. Sin embargo, encontramos DE y correlaciones entre los diferentes tipos de TDA-H, y entre los TS, DE y de mediciones del WISC-IV. Conclusión No hallamos un incremento en la frecuencia de TS en niños con TDA-H. Encontramos evidencia de DE y correlaciones entre el tipo de TDA-H, TS, DE y medidas del WISC-IV. .

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OBJECTIVE: To compare frequency of sleep disorders (SD) and executive dysfunction (ED) in children with attention deficit-hyperactivity disorder (ADHD) and a control group. METHOD: We studied 156 children with ADHD with a mean age of 8.5 years, and a control group with 111 children with a mean age of 8.3 years. We utilized the Pediatric Sleep Questionnaire (PSQ) to screen SD and the working memory measurement from the Wechsler intelligence scale for children (WISC-IV) to screen ED. RESULTS: We did not observe an increased frequency of SD in children with ADHD compared with the controls. However, we did identify ED in children with ADHD; additionally a significant correlation was observed between the type of ADHD and SD and among ED, WISC-IV measurements, and type of SD in children with ADHD. CONCLUSION: An increase of SD frequency in children with ADHD was not observed, but we did identify ED in children with ADHD. Additionally, a correlation among ADHD types, SD, ED, and WISC-IV measurements was observed in children with ADHD.

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OBJECTIVE: Attention deficit hyperactivity disorder (ADHD) is an alteration that begins early in infancy and whose cardinal symptoms are inattention, hyperactivity and impulsivity. There are few studies for specific tests to measure Quality of Life (QoL) in children with ADHD. METHODS: We evaluated QoL of 120 children from 7-12 years of age with ADHD and of a group of 98 healthy control children. To measure QoL, we utilized the Questionnaire of Quality of Life for Children in Pictures (AutoQuestionnaire Qualité de Vie Enfant Imagé, AUQUEI). We evaluated anxiety in children by the Children´s Manifest Anxiety Scale-Revisited (CMAS-R). We compared results among groups and employed the calculation of correlation between the AUQUEI questionnaire and the CMAS-R scale. RESULTS: The total average of the AUQUEI questionnaire in children with ADHD was 45.2, while in the control group it was 54.3 (p<0.05). We also observed significant differences between the control group and groups of children with ADHD in the CMAS-R scale. We found significant correlations between AUQUEI questionnaire and CMAS-R scale. CONCLUSION: The main result was to the disclosure that low QoL scores in ADHD children was anxiety-related.

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OBJECTIVE: Attention deficit hyperactivity disorder (ADHD) is an alteration that begins early in infancy and whose cardinal symptoms are inattention, hyperactivity and impulsivity. There are few studies for specific tests to measure Quality of Life (QoL) in children with ADHD. METHODS: We evaluated QoL of 120 children from 7-12 years of age with ADHD and of a group of 98 healthy control children. To measure QoL, we utilized the Questionnaire of Quality of Life for Children in Pictures (AutoQuestionnaire Qualité de Vie Enfant Imagé, AUQUEI). We evaluated anxiety in children by the Children´s Manifest Anxiety Scale-Revisited (CMAS-R). We compared results among groups and employed the calculation of correlation between the AUQUEI questionnaire and the CMAS-R scale. RESULTS: The total average of the AUQUEI questionnaire in children with ADHD was 45.2, while in the control group it was 54.3 (p<0.05). We also observed significant differences between the control group and groups of children with ADHD in the CMAS-R scale. We found significant correlations between AUQUEI questionnaire and CMAS-R scale. CONCLUSION: The main result was to the disclosure that low QoL scores in ADHD children was anxiety-related.

OBJETIVO: El trastorno por déficit de atención con hiperactividad (TDAH) es una alteración que comienza en la infancia y cuyos síntomas principales son la inatención, hiperactividad y la impulsividad. Hay pocos estudios que midan la Calidad de Vida (CV) en niños con TDAH. MÉTODOS: Evaluamos la CV de 120 niños de 7-12 años de edad con TDAH y la de un grupo control de 98 niños. Para medir la CV, utilizamos el Cuestionario en figuras de la CV de niños (AutoQuestionnaire Qualité de Vie-Enfant-Imagé, AUQUEI). Evaluamos la ansiedad por medio de la Escala de Ansiedad Manifiesta en Niños - Revisada (Children´s Manifest Anxiety Scale-Revisited, CMAS-R). Comparamos los resultados entre grupos y medimos la correlación entre AUQUEI y CMAS-R. El promedio total del AUQUEI en niños con TDAH fue 45,2, mientras que en el grupo control fue 54,3 (p<0.05). También observamos diferencias significativas entre el grupo control y los grupos de niños con TDAH en CMAS-R. Encontramos correlaciones significativas entre AUQUEI y CMAS-R. CONCLUSIONES: Las calificaciones bajas de CV en niños con TDAH se relacionan a mayores niveles de ansiedad.

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The objective was weighing the usefulness of a Spanish-language Scale for the evaluation of deficit of attention and hyperactivity (EDAH) to identify children with attention deficit-hyperactivity disorder (AD-HD) and conduct disorder (CD) in a sample of school-aged children. We studied 132 children from a government-run public elementary school previously selected by teachers as having learning and attention disorders. We screened children of the sample with parents' and teachers' EDAH and Diagnostic and Statistical Manual of Mental Disorders-IV edition Text Revision (DSM-IV-TR) questionnaires, and performed an interdisciplinary clinical examination for the final diagnosis. We found 81 children with AD-HD and 51 children without AD-HD. AD-HD was classified as follows: AD-HD-combined (-C), n=32; AD-HD-inattentive (-I), n=17 and AD-HD-hyperactive (-H), n=32. Cronbach's alpha calculation for the EDAH parents' questionnaire was 0.76, and for teachers, 0.80. Sensitivity of the teachers' EDAH questionnaire was 0.94, and specificity, 0.91. Sensitivity of the parents' EDAH questionnaire was 0.91, while specificity was 0.87. The data of EDAH parents' and teachers' questionnaires have a concordance of 93.1% and 80%, respectively. The correlation of scores among parents' and teachers' EDAH scales was significant. The correlation between results from parents' and teachers' DSM-IV-TR and EDAH questionnaires was also significant. Our results partially support the use of EDAH questionnaires for AD-HD and CD screening in Spanish-speaking populations.

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OBJECTIVE: To perform a complete Intelligence quotient (IQ) measurement (verbal, performance, and total) and subsequently, to compare executive function (EF) measurements in subgroups of children with attention deficit-hyperactivity disorder (ADHD) with a control group. METHOD: We studied a group of children from 7-12 years of age from public elementary schools. Children were selected by means of Diagnostic and Statistical Manual of Mental Disorders-IV-Revised (DSM-IV-R) parent and teacher questionnaires for ADHD. EFs were screened by Weschler Intelligence Scale for Children (WISC-R) performance intelligence quotient (IQ) determination of the following sub-tests: picture completion; block designs, and object assembly tests. Simultaneously, total (T-), performance (P-), and verbal (V-) IQs were measured for each patient. RESULTS: We studied 26 control subjects, and 35 children with ADHD. Numbers of children in each ADHD sub-type group were as follows: 15 in the combined group (-C), 13 in the inattentive group (-I), and 7 in hyperactivity group (-H). We found significant lower EF scores in picture arrangement (F=3.76, df 3,57, p=0.01), block design (F=4.55, df 3,57, p<0.01), and object assembly (F=4.52, df 3,57, p<0.01). Post-hoc analysis showed that differences were located among ADHD-C, ADHD-I, and ADHD-H groups when compared with controls. We found significantly lower cognitive scores in the ADHD-I group as follows: P-IQ (F=3.57, df 3,57, p=0.02), and T-IQ (F=2.90, df 3,57, p=0.04). CONCLUSION: Our results showed that screening of EF alteration in children with ADHD is easy and rapid by means of certain P-IQ determination sub-scales of the WISC test; moreover, complementary IQ determination can be measured simultaneously. Overall, children with ADHD exhibited an EF alteration. ADHD-I children demonstrated lower P-IQ, and T-IQ scores than control children.

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OBJECTIVE: To perform a complete Intelligence quotient (IQ) measurement (verbal, performance, and total) and subsequently, to compare executive function (EF) measurements in subgroups of children with attention deficit-hyperactivity disorder (ADHD) with a control group. METHOD: We studied a group of children from 7-12 years of age from public elementary schools. Children were selected by means of Diagnostic and Statistical Manual of Mental Disorders-IV-Revised (DSM-IV-R) parent and teacher questionnaires for ADHD. EFs were screened by Weschler Intelligence Scale for Children (WISC-R) performance intelligence quotient (IQ) determination of the following sub-tests: picture completion; block designs, and object assembly tests. Simultaneously, total (T-), performance (P-), and verbal (V-) IQs were measured for each patient. RESULTS: We studied 26 control subjects, and 35 children with ADHD. Numbers of children in each ADHD sub-type group were as follows: 15 in the combined group (-C), 13 in the inattentive group (-I), and 7 in hyperactivity group (-H). We found significant lower EF scores in picture arrangement (F=3.76, df 3,57, p=0.01), block design (F=4.55, df 3,57, p<0.01), and object assembly (F=4.52, df 3,57, p<0.01). Post-hoc analysis showed that differences were located among ADHD-C, ADHD-I, and ADHD-H groups when compared with controls. We found significantly lower cognitive scores in the ADHD-I group as follows: P-IQ (F=3.57, df 3,57, p=0.02), and T-IQ (F=2.90, df 3,57, p=0.04). CONCLUSION: Our results showed that screening of EF alteration in children with ADHD is easy and rapid by means of certain P-IQ determination sub-scales of the WISC test; moreover, complementary IQ determination can be measured simultaneously. Overall, children with ADHD exhibited an EF alteration. ADHD-I children demonstrated lower P-IQ, and T-IQ scores than control children.

OBJETIVO: Realizar una medición global de cociente intelectual (CI) (verbal, ejecutivo y total) y comparar las funciones ejecutivas (FE) en los subgrupos de niños con trastorno por déficit de atención-hiperactividad (TDAH) con un grupo control. MÉTODO: Se estudiaron niños de 7-12 años, provenientes de escuelas oficiales primarias. Se les aplicó el cuestionario de criterios diagnósticos de TDAH del DSM-IV-R para padres y maestros. Las FE se tamizaron mediante las sub-escalas de: ordenación de dibujos, diseño con cubos y composición de objetos del WISC-R. En forma paralela se midieron los CI Verbal (-V), Ejecutivo (-E), Total (-T) de cada paciente. RESULTADOS: Se estudiaron 26 niños control y 35 con TDAH. La distribución de niños con TDAH en los diferentes subtipos clínicos fue la siguiente: 15 niños con TDAH combinado (-C), 13 con inatención (-I) y 7 con hiperactividad-impulsividad (-H). Se encontraron calificaciones menores en las sub-escalas de: ordenación de dibujos (F=3,76, gl 3,57, p=0,01), diseño con cubos (F=4,55, gl 3,57, p<0,01) y en la composición de objetos (F=4,52, gl 3,57, p<0,01). El análisis post-hoc mostró que las diferencias se produjeron entre los grupos de TDAH-I, TDAH-H y TDAH-C en relación al de control. Encontramos calificaciones menores en el CI del grupo de TDAH-I en la siguiente forma: CI-E (F=3,57, gl 3,57, p=0,02) y CI-T (F=2,90, gl 3,57 p=0,04). CONCLUSIÓN: Nuestros resultados muestran que las alteraciones de las FE pueden ser fácilmente tamizadas por WISC-R, además de medir simultáneamente el CI. Se encontró que los niños con TDAH de los 3 tipos muestran una disfunción de las FE. También se encontró que los niños con TDAH-I muestran menores puntajes del CI-E y CI-T que los controles.

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Los autores integran en forma concisa los puntos de mayor interés en anatomía quirúrgica práctica de cabeza y cuello para el cirujano dermatólogo

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