Background: Fibromyalgia is a functional disorder of growing importance characterized by chronic widespread musculoskeletal pain. It frequently affects women of child bearing age. Infertility is failure to achieve pregnancy within a 12 month period for sexually active individuals under 35 years of age and failure to conceive within a 6 months period for those over 35 years, which can have a major psychosocial impact on the affected person’s life.

Objectives: To estimate the prevalence of fibromyalgia among a sample of infertile women; and to study its relationship with age, length of marriage, duration and type of infertility.

Patients and Methods: A cross-sectional stu

Background: The early detection of oral cancers gives the greatest chance of curing and the delay in presentation has a significant impact on the associated morbidity and mortality. The lack of general dental practitioners (GDP) knowledge in early cancer detection has been shown to contribute to delays in referral and treatment. The aim of this study was to investigate the oral cancer awareness among a group of GDP by assessing their knowledge of detection and prevention of oral cancer. Materials and methods: A questionnaire based study was designed. The questionnaire was delivered to 200 GDP assessing oral examination method, knowledge of oral cancer risk factors, clinical appearance and the most common site, point of referral and requests

Background: Iraqi people have endured an excess burden of morbidity’ and mortality during the last two decades due to wars and sanctions. This report M’as carried out to assess the nutritional status of first year primary school children.
Methods: A total of3881 school children in Balad district in Salahadin govemorate was included in the study. Age, height and weight were recorded. Malnutrition was regarded as value of less than 2 SD of the reference value.
Results: Among the total sample, 16.5%, 20.06% and 15.3% were underweight, stunted and wasted, respectively. No significant difference was detected in malnutrition rates between both sexes. Conclusion: High rates of malnutrition were detected among school children.

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Background: Bullying victimization is a major public health problem. Interest in bullying in Arab world is a recent phenomenon. Publication on victimization in Iraq is scares. Therefore this study was conducted to report bullying among students of Iraqi schools.
Methods: A total of 302 students from Baghdad was selected by a cluster random sample to include in this study. An Arabic version of standardized questionnaire was obtained from the International (ISPCAN). Identification of bullying (bullies, victims and sexual victims) was done by using a cutoff for the scoring of bullying manifestation in the questionnaire depending on three repeated action at least to consider as bullies. P value less than 0.05 was considered significant fo

Background: The aim of the study was to determine the prevalence of CMV infection among HIV / AIDS patients in relation to disease progression, and to study the mortality during the period of the study.
Patients and Methods: The study included 155 HIV/AIDS patients (148 HIV- infected and seven AIDS patients) and 122 apparently "healthy" controls. CMV (IgG and 1gM) antibodies were determined by ELISA. The patients were followed up for a period of nine months, and retested frequently for development of active CMV infection.
Results: The prevalence of CMV (IgG) antibodies in the HIV/AIDS patients was 100%. A significant higher prevalence of CMV (IgM) among AIDS patients (42.9°/6) than among HIV infected

This research is considered as the beginning of other studies about the iraqi the public and their relationship with the various state institutions. Recently, such studies used to be almost non-existent. The main characteristic that distinguishes the scientific studies, is the fact that it involves a specific problem that needs to be studied and analysed from multiple aspects, otherwise the definition of problem identification wouldn’t have been narrowing the topic into what the researcher wants to address, also not what the title is referring to as topics which the researcher doesn’t want to address. The problem in this research resides in the lack of well planned scientific programs that aims at building a positive mental picture a

Background: Hypothyroidism is the most prevalent thyroid disorders worldwide.  Hypothyroidism manifestations are wide spectrum, affecting various systems in human body including the nervous system. Hypothyroidism can cause neuropsychiatric symptoms such as anxiety, depression and diminishing in attention, memory and executive function. Aim: to investigate the level of anxiety and depression in patients with hypothyroidism receiving levothyroxine treatment. Method: a cross-sectional study was conducted at Baghdad Center for Nuclear Medicine and Radiation Therapy from March to June 2022. The study population included patients of both genders, aged 18-65 years, diagnosed with hypothyroidism, were receiving levothyroxine treatment and

Symptoms of posttraumatic stress disorder are associated with various variables such as the exposure to traumatic events, sex and age. Such events could lead to negative cognitions towards self and the world. These cognitions, in turn, may lead to traumatic related disorders.

The present study aims to identify the percentage of traumatised individuals according to sex and age category variables. It also aims to assess the average of spreading symptoms of posttraumatic stress disorder of traumatised individuals according to sex and age category variables. Likewise, it aims to test variables significance in cognitions towards the world and the self according to the level of the spread of posttraumatic stre

Autism Spectrum Disorder, also known as ASD, is a neurodevelopmental disease that impairs speech, social interaction, and behavior. Machine learning is a field of artificial intelligence that focuses on creating algorithms that can learn patterns and make ASD classification based on input data. The results of using machine learning algorithms to categorize ASD have been inconsistent. More research is needed to improve the accuracy of the classification of ASD. To address this, deep learning such as 1D CNN has been proposed as an alternative for the classification of ASD detection. The proposed techniques are evaluated on publicly available three different ASD datasets (children, Adults, and adolescents). Results strongly suggest that 1D