The Prevalence of Thyroid Disorders among Individual Attending Private center for Thyroid Check
Date
2022-06
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Al-Neelain University
Abstract
Abstract
Background: Thyroid gland is a part of the body's endocrine system. It is the
largest organ specialized for endocrine function in human body and its very
necessary for metabolic pathway.
Aim:To evaluate the prevalence of thyroid disorder among individual attended
private clinics for thyroid check
Materials and Methods:
Analytical cross-sectional hospital base study in
Khartoum state , 425 sample were collected from the subjects their age ranged
between (4 to 90 years), during the period from April to July 2018. The
quantitative determination of thyroid hormones level were done using full
automated machine (TOSOH AIA-18000) .The collected data were analyzed using
SPSS version 25.
Results: Regarding gender were male 123(29%), female 301(71%). The normal
thyroid profile is 314(74%), hyperthyroidism 42(10%), hypothyroidism 69(16%).
and According to age group show that in less than 40 years (176 represent 77.9
%) and in more 40 years (138 represent 69.3 %) of total case (314 )are normal .
And percentage of TSH classes across age show that in less than 40 years (20
represent 8.8 %) and in more than 40 years (22 represent 11.1 %) of total case (42)
are hyperthyroidism .
Also the percentage of TSH classes across age show that in less than 40 years (30
case represent 13.3 %) and in more 40 years (39 represent 19.6 %) of total case
(69) are hypothyroidism
Conclusions: The study were concluded that about 74% of the study group are
normal 10% are hyperthyroidism and 16% are hypothyroidism. Also the
prevalence of thyroid disorder is more common in female then male , also is show
that the increase of age is directly related with thyroid disorder .
Description
A dissertation Submitted in Partial Fulfillment For the Requirements of the
Award of M.Sc. Degree in Medical Laboratory Science.
Keywords
Thyroid gland, endocrine - system