Introduction: Thyroid disorders are a common manifestation of hormonal disorders that result from either excessive or insufficient production of thyroid hormones and the swelling of the thyroid gland. A lack of information and awareness of the signs and risk factors of thyroid problems can lead to untreated patients, thereby harming public health.
Methods: Observational cross-sectional research was conducted in the Al-Baha region of Saudi Arabia, with 531 residents selected from the general population. The data were analyzed using SPSS to derive significant insights, and questionnaires were used to collect the data.
Results: The results revealed that 79 (14.9%) of the participants had been diagnosed with thyroid disease. The risk factors for thyroid diseases reported were as follows: female gender (386, 72.7%); exposure to radiation (329, 62.0%); smoking (312, 58.8%); family history (300, 56.5%); and insufficient or excess intake of iodine (277, 52.2%). Only 110 (20.7%) of the participants knew that the use of amiodarone medication is a risk factor for thyroid diseases. The symptoms reported included fatigue (430, 81.0%), feeling cold, and weight gain (409, 77.0%); neck lump (379, 71.4%); depression (367, 69.1%); and hair loss (336, 63.3%). Early diagnosis (426, 80.2%), a well-exercised program (394, 74.2%), and a well-balanced diet (392, 73.8%) were the prevention methods reported by a majority of the participants. The study results revealed an average score of 13.57±2.11, with a minimum knowledge score of 0 and a maximum of 25. A statistically significant difference was observed in knowledge scores based on the participant's gender, age, education level, previous diagnosis with thyroid diseases, family history of thyroid diseases, and having performed thyroid gland investigation with p-values <0.05 (<0.001, 0.019, 0.027, <0.001, 0.023, and 0.031), respectively.
Conclusion: Nearly half of the participants had low knowledge scores regarding the risk factors and clinical manifestations of thyroid diseases. Although a sizable proportion of participants demonstrated awareness of some clinical presentations and prevention methods, there are serious knowledge gaps regarding the risk factors and symptoms of thyroid disease among the general population in the Al-Baha region. There is a need for targeted health education programs to improve public awareness of risk factors and early detection and prevention measures of thyroid diseases to improve the quality of life among community members.
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http://dx.doi.org/10.7759/cureus.71256 | DOI Listing |
Probl Radiac Med Radiobiol
December 2024
State Institution «National Research Center of Radiation Medicine, Hematology and Oncology of the National Academy of Medical Sciences of Ukraine», 53 Yuriia Illienka Str., Kyiv, 04050, Ukraine.
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Probl Radiac Med Radiobiol
December 2024
State Institution «National Research Center for Radiation Medicine, Hematology and Oncology of the National Academy of Medical Sciences of Ukraine», 53 Yuriya Illienka Street, Kyiv, 04050, Ukraine.
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Surgical, Medical and Dental Department of Morphological Sciences Related to Transplant, Oncology and Regenerative Medicine, University of Modena and Reggio Emilia, Modena, Italy.
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PLoS One
December 2024
Digital Environment Research Institute (DERI), Queen Mary University of London, London, United Kingdom.
Deep learning techniques are increasingly being used to classify medical imaging data with high accuracy. Despite this, due to often limited training data, these models can lack sufficient generalizability to predict unseen test data, produced in different domains, with comparable performance. This study focuses on thyroid histopathology image classification and investigates whether a Generative Adversarial Network [GAN], trained with just 156 patient samples, can produce high quality synthetic images to sufficiently augment training data and improve overall model generalizability.
View Article and Find Full Text PDFAnn Ital Chir
December 2024
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