Validity and precision of the International Physical Activity Questionnaire for climacteric women using computational intelligence techniques.

This study aimed to evaluate the validity and precision of the International Physical Activity Questionnaire (IPAQ) for climacteric women using computational intelligence techniques. The instrument was applied to 873 women aged between 40 and 65 years. Considering the proposal to regroup the set of data related to the level of physical activity of climacteric women using the IPAQ, we used 2 algorithms: Kohonen and k-means, and, to evaluate the validity of these clusters, 3 indexes were used: Silhouette, PBM and Dunn. The questionnaire was tested for validity (factor analysis) and precision (Cronbach's alpha). The Random Forests technique was used to assess the importance of the variables that make up the IPAQ. To classify these variables, we used 3 algorithms: Suport Vector Machine, Artificial Neural Network and Decision Tree. The results of the tests to evaluate the clusters suggested that what is recommended for IPAQ, when applied to climacteric women, is to categorize the results into two groups. The factor analysis resulted in three factors, with factor 1 being composed of variables 3 to 6; factor 2 for variables 7 and 8; and factor 3 for variables 1 and 2. Regarding the reliability estimate, the results of the standardized Cronbach's alpha test showed values between 0.63 to 0.85, being considered acceptable for the construction of the construct. In the test of importance of the variables that make up the instrument, the results showed that variables 1 and 8 presented a lesser degree of importance and by the analysis of Accuracy, Recall, Precision and area under the ROC curve, there was no variation when the results were analyzed with all IPAQ variables but variables 1 and 8. Through this analysis, we concluded that the IPAQ, short version, has adequate measurement properties for the investigated population.

Correction: Health conditions associated with overweight in climacteric women.

[This corrects the article DOI: 10.1371/journal.pone.0218497.].

Health conditions associated with overweight in climacteric women.

This study aims to investigate the association between health conditions and overweight in climacteric women assisted by primary care professionals. It is a cross-sectional study conducted with 874 women from 40 to 65 years of age, selected by probabilistic sampling between August 2014 and August 2015. In addition to the outcome variable, overweight and obesity, other variables such as sociodemographic, reproductive, clinical, eating and behavioural factors were evaluated. Descriptive analyses of the variables investigated were performed to determine their frequency distributions. Then, bivariate analyses were performed through Poisson regression. For the multivariate analyses, hierarchical Poisson regression was used to identify factors associated with overweight and obesity in the climacteric period. The prevalence of overweight and obesity was 74%. Attending public school (PR: 1.30-95% CI 1.14-1.50), less schooling (PR: 1.11-95% CI 1.01-1.23), gout (PR: 1.18-95% CI 1.16-1.44), kidney disease (PR: 1.18-95% CI 1.05-1.32), metabolic syndrome (MS) (PR: 1.19-95% CI 1.05-1.34) and fat intake (PR: 1.12-95% CI 1.02-1.23) were considered risk factors for overweight. Having the first birth after 18 years of age (PR: 0.89-95% CI 0.82 to 0.97) was shown to be a protective factor for overweight and obesity. The presence of overweight and obesity is associated with sociodemographic, reproductive, clinical and eating habits.

ANTHROPOMETRY TO IDENTIFY HIGH VISCERAL FAT AREA IN POSTMENOPAUSAL WOMEN.

INTRODUCTION: the evaluation of the body fat distribution by anthropometry can serve to identify excess visceral fat. This diagnosis will enable implementation of specific measures to both prevent and treat excess visceral fat in postmenopausal women. OBJECTIVE: the aim of this study was to analyze different anthropometric indicators and identify the best cutoff points to discriminate subjects with high visceral fat area (HVFA) in postmenopausal women. METHODS: cross-sectional study with a sample of 255 postmenopausal women. Different Receiver Operating Characteristic (ROC) curves were constructed and the areas under them compared in terms of the conicity index (C-index), body mass index (BMI), waist-to-hip ratio (WHR), waist circumference (WC), weight-to-height ratio (WHtR) and HVFA. Sensitivity and specificity identified the best cutoff points between the different anthropometric indicators in order to discriminate subjects with HVFA. The confidence interval was set at 95%. RESULTS: statistically significant areas under the ROC curve were found for all anthropometric indicators analyzed. The following cutoff points, with their respective sensitivities and specificities to discriminate subjects with HVFA, were suggested: C-index (1.19; 75.00%- 74.77%); BMI (27.3 kg/m2; 81.08%-80.37%); WHR (0.98; 90.54%-83.18%); WC (85 cm; 85.14%-81.31%); and WHtR (0.55; 80.41%-80.37%). CONCLUSION: these results demonstrate that anthropometric indicators identify HVFA well in postmenopausal women and can be used instead of more sophisticated exams to detect high levels of visceral fat.

Introducción: la evaluación de la distribución de la grasa corporal por antropometría puede servir para identificar el exceso de grasa visceral. Este diagnóstico permitirá la aplicación de medidas específicas para prevenir y tratar el exceso de grasa visceral en mujeres posmenopáusicas. Objetivo: el objetivo de este estudio fue analizar diferentes indicadores antropométricos e identificar los mejores puntos de corte para discriminar sujetos con alta área de grasa visceral (AAGS) en mujeres posmenopáusicas. Métodos: estudio transversal con una muestra de 255 mujeres posmenopáusicas. Se construyeron diferentes curvas Receiver Operating Characteristic (ROC) y las áreas bajo ellas comparadas en términos del índice de conicidad (índice C), el índice de masa corporal (IMC), razón cintura-cadera (RCC), circunferencia de la cintura (CC), relación cintura-estatura (RCEst) y AAGS. La sensibilidad y la especificidad identificaron los mejores puntos de corte entre los diferentes indicadores antropométricos para discriminar sujetos con AAGS. El intervalo de confianza se fijó en 95%. Resultados: las zonas estadísticamente significativas bajo la curva ROC se encontraron para todos los indicadores antropométricos analizados. Fueron sugeridos los siguientes puntos de corte, con sus respectivas sensibilidades y especificidades, para discriminar sujetos con AAGS: índice C (1,19; 75,00%­74,77%); IMC (27,3 kg / m2; 81,08%­80,37%); RCC (0,98; 90,54%-83,18%); CC (85 cm; 85,14%-81,31%); y RCEst (0,55; 80,41%­80,37%). Conclusión: estos resultados demuestran que los indicadores antropométricos identifican bien a las mujeres postmenopáusicas con AAGS y pueden ser utilizados en lugar de los exámenes más sofisticados para detectar altos niveles de grasa visceral.

Behavior of temporal parameters of the ground reactive forces for the walking of postmenopausal women.

The study aimed to examine the influence of body composition and menopause characteristics on certain temporal parameters of the behavior of vertical and anteroposterior components of ground reactive forces, as well as the vertical and anteroposterior rates on the walking of postmenopausal women. The sample consisted of 67 postmenopausal women, average age 59 years. Body composition was assessed by octapolar bioimpedance and ground reactive force by the Kistler force platform. Vertical loading rate correlated positively with age (r = 0.02) and negatively with weight (r = -0.33). The relationship between the rates of vertical loading and unloading associated positively with menopause time (r = 0.27) but negatively with weight (r = -0.27). Vertical unloading rate showed a negative association with abdominal visceral adiposity (r = -0.27). The relationship between the times of the intermediate and final phases of the support correlated significantly with abdominal visceral adiposity (r = 0.25) and fat mass (r = 0.24). The study suggests that fat mass and abdominal visceral adiposity affect the support time, and increased abdominal visceral adiposity implies a slower pre-suspension phase during the walking of postmenopausal women. Hormone replacement therapy was shown to be an enhancer of steeper vertical loading and anteroposterior unloading and longer time in the double support phase, indicating a greater stability of postmenopausal women when walking.