Objectives: Determine the age and gender distribution of children who experience diabetes mellitus (DM) under
the age of 15 years and the presence of some associated factors that might be a predisposing factor for the
disease including obesity.
Methodology: A cross-sectional study was conducted at diabetic clinic in Children Welfare Teaching Hospital
in Baghdad City during 2006. The study sample included diabetic children less than 15 years of age. Data were
taken from the patients' record and by direct interview with the patients' parents. Information included
demographic data, as well as past history of the patient and his/her family relative to diabetes and other immune
diseases.
Results: Data analysis showed that there was an equal distribution of patients among the three age groups (I-5,
6-10-, and 11-15 years) in a rate of 33% for each. Females had higher incidence rate (660/o) than males. Onset of
the disease was mostly at age group I-3 years (32%) followed by age group 4-6 years (30%). IIistory of viral
illness was present in 24% of patients and a positive family history of DM was found in 23% of them, and a
family history of autoimmune disease was positive in 13% of cases. Body weight at the first visit to the clinic
was mainly below the 50th percentile (42% within the 25th percentile) and only 4% of patients had a body
weight within the 75th percentile.
Recommendations: Health education about the disease and provision of health centers those are easily
accessible for early diagnosis and treatment and uninerrupted insulin supply.
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In recent years, Wireless Sensor Networks (WSNs) are attracting more attention in many fields as they are extensively used in a wide range of applications, such as environment monitoring, the Internet of Things, industrial operation control, electric distribution, and the oil industry. One of the major concerns in these networks is the limited energy sources. Clustering and routing algorithms represent one of the critical issues that directly contribute to power consumption in WSNs. Therefore, optimization techniques and routing protocols for such networks have to be studied and developed. This paper focuses on the most recent studies and algorithms that handle energy-efficiency clustering and routing in WSNs. In addition, the prime
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