Variations of noncoital behavior of males

En esta investigación se analizan los cambios ocurridos en las últimas conductas no coitales, en los hombres, durante un intervalo de 10 años. Para ello se llevo a cabo un estudio longitudinal, diacrónico o transversal y de tendencia sobre una muestra de 2245 chicos universitarios (curso 97-98) y 856 (07-08), que realizaban el primer y último curso en la Universidad de Vigo. Se les aplicó una encuesta estructurada, anónima y voluntaria en la que se recogía la edad y variables sexuales, referidas a las conductas no coitales. La edad media de las hombres universitarios, del curso 97-98, es de 20.85 años y la del curso 07-08, de 21.42 años. Los datos se  analizaron mediante el programa estadístico SPSS 21.0.  Hay diferencias significativas (p<.05) entre ambos grupos en:  porcentaje de autoestimulación, frecuencia y edad de inicio, existencia de actividad sexual con otra persona, frecuencia de diferentes conductas sexuales no coitales y coitales y su edad de inicio.In the last decades, sexuality is one of the facets that raises more interest among evolutionary researchers. In this research the change occurred in the noncoital behavior that are analyzed in males, for a period of 10 years.  It took a very lengthy study, diachronic o transversal, with a trend over a sample of 2245 young university students (course 97-98) and 856 (course 07-08), in they were in their first and last year of their university course, in the University of Vigo. It was applied a structured survey, anonymous and voluntary, in which was the ages and variables were gathered, contemplating their noncoital behavior. The average age of university male, course 97-98, was of the ages 20-85 years old and the course 07-08, was of the ages 21-42 years old. The data was anaylzed using the statistical program SPSS 21.0

Modificaciones en los últimos escenarios sexuales, en los chicos

In the last decades, sexuality is one of the facets that raises more interest among evolutionary researchers. In this research the change occurred in the noncoital behavior that are analyzed in males, for a period of 10 years.  It took a very lengthy study, diachronic o transversal, with a trend over a sample of 2245 young university students (course 97-98) and 856 (course 07-08), in they were in their first and last year of their university course, in the University of Vigo. It was applied a structured survey, anonymous and voluntary, in which was the ages and variables were gathered, contemplating their noncoital behavior. The average age of university male, course 97-98, was of the ages 20-85 years old and the course 07-08, was of the ages 21-42 years old. The data was anaylzed using the statistical program SPSS 21.0.Analizamos  los cambios ocurridos en las últimas conductas coitales, en los hombres, durante un intervalo de 10 año, mediante un estudio longitudinal, diacrónico o transversal y de tendencia con una muestra de 2245 universitarios (curso 97-98) y 856 (07-08), que realizaban primero y último en la Universidad de Vigo. Se les aplicó una encuesta estructurada, anónima y voluntaria en la que se recogía la edad y variables sexuales, referidas a las últimas conductas coitales.  Los datos se analizan mediante el SPSS 21.0.  La edad media de las hombres universitarios, del curso 97-98, es de 20.85 años y la del curso 07-08, de 21.42 años. Las diferencias son significativa (p<.05) en cuanto a quienes iniciaron los coitos y edad, tiempo transcurrido desde el último coito, tipo de pareja sexual, satisfacción, por amor y deseo, el lugar donde aconteció, frecuencia coital, consumo etílico, uso de anticoncepción y elección de la misma

Global variation in postoperative mortality and complications after cancer surgery: a multicentre, prospective cohort study in 82 countries

© 2021 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND 4.0 licenseBackground: 80% of individuals with cancer will require a surgical procedure, yet little comparative data exist on early outcomes in low-income and middle-income countries (LMICs). We compared postoperative outcomes in breast, colorectal, and gastric cancer surgery in hospitals worldwide, focusing on the effect of disease stage and complications on postoperative mortality. Methods: This was a multicentre, international prospective cohort study of consecutive adult patients undergoing surgery for primary breast, colorectal, or gastric cancer requiring a skin incision done under general or neuraxial anaesthesia. The primary outcome was death or major complication within 30 days of surgery. Multilevel logistic regression determined relationships within three-level nested models of patients within hospitals and countries. Hospital-level infrastructure effects were explored with three-way mediation analyses. This study was registered with ClinicalTrials.gov, NCT03471494. Findings: Between April 1, 2018, and Jan 31, 2019, we enrolled 15 958 patients from 428 hospitals in 82 countries (high income 9106 patients, 31 countries; upper-middle income 2721 patients, 23 countries; or lower-middle income 4131 patients, 28 countries). Patients in LMICs presented with more advanced disease compared with patients in high-income countries. 30-day mortality was higher for gastric cancer in low-income or lower-middle-income countries (adjusted odds ratio 3·72, 95% CI 1·70–8·16) and for colorectal cancer in low-income or lower-middle-income countries (4·59, 2·39–8·80) and upper-middle-income countries (2·06, 1·11–3·83). No difference in 30-day mortality was seen in breast cancer. The proportion of patients who died after a major complication was greatest in low-income or lower-middle-income countries (6·15, 3·26–11·59) and upper-middle-income countries (3·89, 2·08–7·29). Postoperative death after complications was partly explained by patient factors (60%) and partly by hospital or country (40%). The absence of consistently available postoperative care facilities was associated with seven to 10 more deaths per 100 major complications in LMICs. Cancer stage alone explained little of the early variation in mortality or postoperative complications. Interpretation: Higher levels of mortality after cancer surgery in LMICs was not fully explained by later presentation of disease. The capacity to rescue patients from surgical complications is a tangible opportunity for meaningful intervention. Early death after cancer surgery might be reduced by policies focusing on strengthening perioperative care systems to detect and intervene in common complications. Funding: National Institute for Health Research Global Health Research Unit

Effects of hospital facilities on patient outcomes after cancer surgery: an international, prospective, observational study

© 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 licenseBackground: Early death after cancer surgery is higher in low-income and middle-income countries (LMICs) compared with in high-income countries, yet the impact of facility characteristics on early postoperative outcomes is unknown. The aim of this study was to examine the association between hospital infrastructure, resource availability, and processes on early outcomes after cancer surgery worldwide. Methods: A multimethods analysis was performed as part of the GlobalSurg 3 study—a multicentre, international, prospective cohort study of patients who had surgery for breast, colorectal, or gastric cancer. The primary outcomes were 30-day mortality and 30-day major complication rates. Potentially beneficial hospital facilities were identified by variable selection to select those associated with 30-day mortality. Adjusted outcomes were determined using generalised estimating equations to account for patient characteristics and country-income group, with population stratification by hospital. Findings: Between April 1, 2018, and April 23, 2019, facility-level data were collected for 9685 patients across 238 hospitals in 66 countries (91 hospitals in 20 high-income countries; 57 hospitals in 19 upper-middle-income countries; and 90 hospitals in 27 low-income to lower-middle-income countries). The availability of five hospital facilities was inversely associated with mortality: ultrasound, CT scanner, critical care unit, opioid analgesia, and oncologist. After adjustment for case-mix and country income group, hospitals with three or fewer of these facilities (62 hospitals, 1294 patients) had higher mortality compared with those with four or five (adjusted odds ratio [OR] 3·85 [95% CI 2·58–5·75]; p<0·0001), with excess mortality predominantly explained by a limited capacity to rescue following the development of major complications (63·0% vs 82·7%; OR 0·35 [0·23–0·53]; p<0·0001). Across LMICs, improvements in hospital facilities would prevent one to three deaths for every 100 patients undergoing surgery for cancer. Interpretation: Hospitals with higher levels of infrastructure and resources have better outcomes after cancer surgery, independent of country income. Without urgent strengthening of hospital infrastructure and resources, the reductions in cancer-associated mortality associated with improved access will not be realised. Funding: National Institute for Health and Care Research