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Objective The aim of this study was to: (1) establish the typical experience of menstruation for senior high school girls and (2) determine how many experience considerable menstrual disturbance that could require further investigation and management of underlying pathology.Design Cross-sectional study.Setting Senior High Schools in the Australian Capital Territory (ACT), Australia.Population A total of 1051 girls aged between 15 and 19 years.Methods Data based on a quantitative survey.Main outcome measures Self-reports of menstrual bleeding patterns, typical and atypical symptoms and morbidities.Results Typical menstruation in adolescence includes pain (93%), cramping (71%), premenstrual symptoms (96%) and mood disturbance (73%). Highly significant associations were found between increasing severity of menstrual pain, number of menstrual-related symptoms, interference with life activities and school absence. These associations indicate that approximately 25% of the sample had marked menstrual disturbance: 21% experienced severe pain; 26% school absence; 26% suffering five or more symptoms; ‡24% reporting moderate to high interference with four out of nine life activities. Approximately 10% reported atypical symptoms associated with menstruation. Diagnosis of menstrual pathology in the sample was low, even though 33% had seen a GP and 9% had been referred to a specialist.Conclusions Menstrual pain and symptoms are common in teenagers. Girls indicating moderate to severe pain in association with a high number of menstrual symptoms, school absence and interference with life activities should be effectively managed to minimise menstrual morbidity. Those girls who do not respond to medical management should be considered for further investigation for possible underlying pathology, such as endometriosis.Keywords Adolescence, dysmenorrhoea, endometriosis, menstrual disturbance, menstrual pain, menstruation, teenage.Please cite this paper as: Parker M, Sneddon A, Arbon P. The menstrual disorder of teenagers (MDOT) study: determining typical menstrual patterns and menstrual disturbance in a large population-based study of Australian teenagers.

Introduction:This paper reports on research into the influence of environmental factors (including crowd size, temperature, humidity, and venue type) on the number of patients and the patient problems presenting to firstaid services at large, public events in Australia. Regression models were developed to predict rates of patient presentation and of transportation-to-a-hospital for future mass gatherings.Objective:To develop a data set and predictive model that can be applied across venues and types of mass gathering events that is not venue or event specific. Data collected will allow informed event planning for future mass gatherings for which health care services are required.Methods:Mass gatherings were defined as public events attended by in excess of 25,000 people. Over a period of 12 months, 201 mass gatherings attended by a combined audience in excess of 12 million people were surveyed through-out Australia. The survey was undertaken by St. John Ambulance Australia personnel. The researchers collected data on the incidence and type of patients presenting for treatment and on the environmental factors that may influence these presentations. A standard reporting format and definition of event geography was employed to overcome the event-specific nature of many previous surveys.Results:There are 11,956 patients in the sample. The patient presentation rate across all event types was 0.992/1,000 attendees, and the transportation-to-hospital rate was 0.027/1,000 persons in attendance. The rates of patient presentations declined slightly as crowd sizes increased. The weather (particularly the relative humidity) was related positively to an increase in the rates of presentations. Other factors that influenced the number and type of patients presenting were the mobility of the crowd, the availability of alcohol, the event being enclosed by a boundary, and the number of patient-care personnel on duty.Three regression models were developed to predict presentation rates at future events.Conclusions:Several features of the event environment influence patient presentation rates, and that the prediction of patient load at these events is complex and multifactorial. The use of regression modeling and close attention to existing historical data for an event can improve planning and the provision of health care services at mass gatherings.

A review of mass-gathering medicine literature published by the Journal Prehospital and Disaster Medicine, demonstrates the progressive development of our knowledge and understanding of the health effects of mass gatherings and the strategies that appear to contribute positively to effective health services delivery during these events. In addition, the growing need for research that can underpin a more evidence-based approach to planning for and managing these events is apparent. The call for less descriptive and more critical and conceptual analyses has been increasing in volume and, it is argued, the challenge now is to apply research frameworks that can contribute more effectively to science-based, medical practice.