Objective: Report maternal, fetal and neonatal complications associated with single intrauterine fetal death (sIUFD) in monochorionic twin pregnancies.
Design: Prospective observational study.
Setting: UK.
Objective: To describe and discuss the results of non-pharmacological interventions (NPI) adjuvants in the treatment of depressive symptoms among women with breast cancer (BC).
Materials And Methods: A systematic review on NPI was performed, which was applied to patients with cancer and depressive symptoms in seven databases. The review was limited from January 1, 2006 to December 31, 2017 and to English, Spanish and Portuguese languages.
Objective: Depressive symptoms are common comorbidities among breast cancer (BC) patients. Non-pharmacological therapies (NPTs) such as exercise and psychotherapy may reduce depressive symptoms; however, the evidence is inconclusive. The objective of this study is to evaluate if NPTs reduce depressive symptoms among BC patients.
View Article and Find Full Text PDFBackground: The effect of the weather temperature on mortality has been studied more in depth than its effect on morbidity. In Murcia, the number of daily emergencies and the cases of heat stroke for which care is provided at the hospitals in this Region have been studied.
Objective: to evaluate the effect that the weather temperature has on the number of hospital emergencies and the use of these indicators for the surveillance of hot weather-related morbidity.
Rev Esp Salud Publica
November 2006
Background: Different countries have conducted comparability studies between Revisions 10 and 9 of the International Classification of Diseases for aggregate lists of causes of death. In Spain, the COMPARA project was aimed at evaluating the impact of the revision change.
Methods: Descriptive cross-sectional epidemiological study of 88,048 deaths recorded in Spain in 1999 with the underlying cause of death doubled coded in ICD-9 and ICD-10.
This essay reviews some statistical concepts frequently used in public health research that are commonly misinterpreted. These include point estimates, confidence intervals, and hypothesis tests. By comparing them using the classical and the Bayesian perspectives, their interpretation becomes clearer.
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