Welcome to Wonderland? A Population Study of Intimate Experiences and Safe Sex at a Transformational Mass Gathering (Burning Man).

Transformational festivals are socially immersive artistic mass gatherings that are said to promote a strong feeling of belonging and experiences of personal transformation. The purposes of the present study were (1) to investigate the social and intimate experiences of Burning Man participants and (2) to study the factors predicting safe sex practices in the context of that transformational festival. The study was based on data from two consecutive cycles (2013 and 2014) of the yearly post-event online survey done in collaboration with the Burning Man Project. Participants consisted of people who attended the event (N = 19,512). The results were weighted based on the sociodemographic characteristics of the population. A typology of social and intimate experiences was created using a k-means cluster analysis. Predictors of having had unprotected sex with someone met during the event were identified using a nested logistic regression. Five profiles of social and intimate experiences were identified. Profiles with high levels of emotionally and physically intimate experiences were associated with a strong feeling of belonging and a high proportion of personal transformation. Predictive analyses showed that unprotected sex was mainly predicted by variables associated with one of three factors: (1) a lower lever of preparation and practice in using protection, (2) sex education and/or subcultures, and (3) the perceived costs and benefits associated with protection. The results also indirectly suggest a positive effect of the event on safe sex. Implications in terms of public health intervention are discussed.

Development, evaluation and validation of a screening tool for late onset bacteremia in neonates - a pilot study.

BACKGROUND: Clinical and laboratory parameters can aid in the early identification of neonates at risk for bacteremia before clinical deterioration occurs. However, current prediction models have poor diagnostic capabilities. The objective of this study was to develop, evaluate and validate a screening tool for late onset (> 72 h post admission) neonatal bacteremia using common laboratory and clinical parameters; and determine its predictive value in the identification of bacteremia. METHODS: A retrospective chart review of neonates admitted to a neonatal intensive care unit (NICU) between March 1, 2012 and January 14, 2015 and a prospective evaluation of all neonates admitted between January 15, 2015 and March 30, 2015 were completed. Neonates with late-onset bacteremia (> 72 h after NICU admission) were eligible for inclusion in the bacteremic cohort. Bacteremic patients were matched to non-infected controls on several demographic parameters. A Pearson's Correlation matrix was completed to identify independent variables significantly associated with infection (p < 0.05, univariate analysis). Significant parameters were analyzed using iterative binary logistic regression to identify the simplest significant model (p < 0.05). The predictive value of the model was assessed and the optimal probability cut-off for bacteremia was determined using a Receiver Operating Characteristic curve. RESULTS: Maximum blood glucose, heart rate, neutrophils and bands were identified as the best predictors of bacteremia in a significant binary logistic regression model. The model's sensitivity, specificity and accuracy were 90, 80 and 85%, respectively, with a false positive rate of 20% and a false negative rate of 9.7%. At the study bacteremia prevalence rate of 51%, the positive predictive value, negative predictive value and negative post-test probability were 82, 89 and 11%, respectively. CONCLUSION: The model developed in the current study is superior to currently published neonatal bacteremia screening tools. Validation of the tool in a historic data set of neonates from our institution will be completed.