Objective: This study aimed to investigate the prevalence of dysmenorrhea among adolescents in Dubai, and its effect on their academic and athletic performance. Methods: This was a cross-sectional study conducted in t...Objective: This study aimed to investigate the prevalence of dysmenorrhea among adolescents in Dubai, and its effect on their academic and athletic performance. Methods: This was a cross-sectional study conducted in ten randomly selected private and government high schools in Dubai, United Arab Emirates. Using both the English and Arabic translated version of the Women’s Health Symptom Survey Questionnaire World, data was collected from 456 female students of grades 7 - 12, aged 11 - 19 years. Results: Dysmenorrhea was a crucial problem reported by 432 (94.7%) of the participants. Of the total number, 208 (45%) participants reported experiencing severe pain during menstruation and 152 (33.4%) students reported being absent from school during every menstrual cycle. Nonsteroidal anti-inflammatory drugs (NSAIDs) were used by 147 (32.3%) students, and majority reported no or little improvement. The percentage of students who experienced menstrual pain with micturition or defecation was 43.1% and 46.7%, respectively. None of the participants reported the use of hormonal agents. Conclusion: The unexpected high number of female adolescents who reported symptoms of primary dysmenorrhea necessitating treatment, as well as subsequent school absenteeism, calls for implementation of a screening questionnaire for early detection of persistent primary dysmenorrhea. Moving from surgical to clinical diagnosis of endometriosis can contribute greatly to improving the quality of life and reproductivity of female adolescents with severe dysmenorrhea.展开更多
Background: The well-established DMFT index has been used for over 75 years as a key for measuring dental caries in dentistry. DMFT is applied to permanent dentition and expressed as the total number of teeth decayed ...Background: The well-established DMFT index has been used for over 75 years as a key for measuring dental caries in dentistry. DMFT is applied to permanent dentition and expressed as the total number of teeth decayed (D), missing (M), or filled (F), tooth (T) in an individual. Objectives: The objective of this study is to build a mathematical model for the existing DMFT index and compare its parameters by suggested new mathematical model. Mathematical Models: Fixed Model: Is a mathematical model for the existing DMFT index and will be considered as fixed model;in which all individuals under screening will have the same probability θ, 0 ≤ θ ≤1 of dental caries. In this fixed model the unit of the screening is the individual, and will be evaluated for caries as a dichotomous (0, 1) variable. Random Model: The new suggested model is a random model that suggests a mouth of an individual as an environment and the tooth is a unit of research. In this random model, only the teeth in one mouth have the same probability θ, 0 ≤ θi ≤ 1 where i =1, 2...,k ;number of screening individuals. Expected Outcome: Mathematically, the fixed model will highlight what the value 1 will hide as information and hence this may explain why the average of DMFT is may be overestimated for any sample studied using fixed model. The random model will yield a cumulative weighed probability on the function of the number of teeth screened per mouth θ, 0 ≤ θ ≤ 1, hence the average DMFT index will be weighed against the number of teeth screened per all subjects. Conclusion: The random model yields an average and more realistic expected value for the population studied. Furthermore, in such model, it is easy to estimate the variance and it is obvious that this model yields the smallest variance.展开更多
文摘Objective: This study aimed to investigate the prevalence of dysmenorrhea among adolescents in Dubai, and its effect on their academic and athletic performance. Methods: This was a cross-sectional study conducted in ten randomly selected private and government high schools in Dubai, United Arab Emirates. Using both the English and Arabic translated version of the Women’s Health Symptom Survey Questionnaire World, data was collected from 456 female students of grades 7 - 12, aged 11 - 19 years. Results: Dysmenorrhea was a crucial problem reported by 432 (94.7%) of the participants. Of the total number, 208 (45%) participants reported experiencing severe pain during menstruation and 152 (33.4%) students reported being absent from school during every menstrual cycle. Nonsteroidal anti-inflammatory drugs (NSAIDs) were used by 147 (32.3%) students, and majority reported no or little improvement. The percentage of students who experienced menstrual pain with micturition or defecation was 43.1% and 46.7%, respectively. None of the participants reported the use of hormonal agents. Conclusion: The unexpected high number of female adolescents who reported symptoms of primary dysmenorrhea necessitating treatment, as well as subsequent school absenteeism, calls for implementation of a screening questionnaire for early detection of persistent primary dysmenorrhea. Moving from surgical to clinical diagnosis of endometriosis can contribute greatly to improving the quality of life and reproductivity of female adolescents with severe dysmenorrhea.
文摘Background: The well-established DMFT index has been used for over 75 years as a key for measuring dental caries in dentistry. DMFT is applied to permanent dentition and expressed as the total number of teeth decayed (D), missing (M), or filled (F), tooth (T) in an individual. Objectives: The objective of this study is to build a mathematical model for the existing DMFT index and compare its parameters by suggested new mathematical model. Mathematical Models: Fixed Model: Is a mathematical model for the existing DMFT index and will be considered as fixed model;in which all individuals under screening will have the same probability θ, 0 ≤ θ ≤1 of dental caries. In this fixed model the unit of the screening is the individual, and will be evaluated for caries as a dichotomous (0, 1) variable. Random Model: The new suggested model is a random model that suggests a mouth of an individual as an environment and the tooth is a unit of research. In this random model, only the teeth in one mouth have the same probability θ, 0 ≤ θi ≤ 1 where i =1, 2...,k ;number of screening individuals. Expected Outcome: Mathematically, the fixed model will highlight what the value 1 will hide as information and hence this may explain why the average of DMFT is may be overestimated for any sample studied using fixed model. The random model will yield a cumulative weighed probability on the function of the number of teeth screened per mouth θ, 0 ≤ θ ≤ 1, hence the average DMFT index will be weighed against the number of teeth screened per all subjects. Conclusion: The random model yields an average and more realistic expected value for the population studied. Furthermore, in such model, it is easy to estimate the variance and it is obvious that this model yields the smallest variance.
