Female Sexual Function and Gestational Diabetes

Introduction. The number of women with gestational diabetes mellitus (GDM) is growing worldwide in parallel with the obesity epidemic. The diagnosis of GDM leads to substantial modifications in the daily routine of these women, and these adjustments could potentially affect their sexual function. There are no previous studies on the sexual function of patients with GDM. Aim. The aim of this study was to investigate the sexual function of patients with GDM in comparison with healthy pregnant women at the same gestational age. Methods. Brazilian women in the third trimester of pregnancy with and without GDM were invited to participate in this cross-sectional study while waiting for their antenatal care visits at a single public tertiary teaching institution between March and December 2010. The Brazilian version of the Female Sexual Function Index (FSFI) questionnaire was used to assess sexual function. Main Outcome Measures. Desire, arousal, lubrication, orgasm, sexual satisfaction, and pain during and after coitus in the last 4 weeks, measured according to a standardized and validated questionnaire. Results. A total of 87 participants were enrolled (43 healthy women and 44 with GDM). There were no significant differences in the sociodemographic characteristics of both groups. The total FSFI scores of GDM patients was 21.0 +/- 9.59 compared with 22.3 +/- 9.17 for healthy women (P = 0.523). Difficulty in desire was the most common sexual dysfunction symptom in both groups, being reported by 42% and 50% of GDM and healthy women, respectively (P = 0.585). Conclusion. The sexual function of Brazilian patients with GDM does not differ significantly from that of healthy pregnant women at the same gestational age. Ribeiro MC, Nakamura MU, Scanavino Mde T, Torloni MR, and Mattar R. Female sexual function and gestational diabetes. J Sex Med 2012; 9: 786-792.

A comparison for a multiscale study of structural lineaments in southern Brazil: LANDSAT-7 ETM+ and shaded relief images from SRTM3-DEM

This paper presents a comparison of descriptive statistics obtained for brittle structural lineaments extracted manually from LANDSAT images and shaded relief images from SRTM 3 DEM at 1:100, 000 and 1:500, 000 scales. The selected area is located in the southern of Brazil and comprises Precambrian rocks and stratigraphic units of the Paraná Basin. The application of this methodology shows that the visual interpretation depends on the kind of remote sensing image. The resulting descriptive statistics obtained for lineaments extracted from the images do not follow the same pattern according to the scale adopted. The main direction obtained for Proterozoic rocks using both image types at a 1:500, 000 scale are close to NS±10, whereas at a 1:100, 000 scale N45E was obtained for shaded relief images from SRTM 3 DEM and N10W for LANDSAT images. The Paleozoic sediments yielded the best results for the different images and scales (N50W). On the other hand, the Mesozoic igneous rocks showed greatest differences, the shaded relief images from SRTM 3 DEM images highlighting NE structures and the LANDSAT images highlighting NW structures. The accumulated frequency demonstrated high similarity between products for each image type no matter the scale, indicating that they can be used in multiscale studies. Conversely, major differences were found when comparing data obtained using shaded relief images from SRTM 3 DEM and Landsat images at a 1:100, 000 scale.

Bird species diversity in the Atlantic Forest of Brazil is not explained by the Mid-domain Effect

The Atlantic Forest is an excellent case study for the elevational diversity of birds, and some inventories along elevational gradients have been carried out in Brazil. Since none of these studies explain the patterns of species richness with elevation, we herein review all Brazilian studies on bird elevational diversity, and test a geometric constraint null model that predicts a unimodal species-altitude curve, the Mid-domain Effect (MDE). We searched for bird inventories in the literature and also analysed our own survey data using limited-radius point counts along an 800 m elevational gradient in the state of São Paulo, Brazil. We found 10 investigations of elevational diversity of Atlantic Forest birds and identified five different elevational patterns: monotonic decreasing diversity, constant at low elevations, constant at low elevations but increasing towards the middle, and two undescribed patterns for Atlantic Forest birds, trough-shaped and increasing diversity. The average MDE fit was low (r² = 0.31) and none of the MDE predictions were robust across all gradients. Those studies with good MDE model fits had obvious sampling bias. Although it has been proposed that the MDE may be positively associated with the elevational diversity of birds, it does not fit the Brazilian Atlantic Forest bird elevational diversity.