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Association between self‐reported oral disease/conditions and symptoms of depression among Iraqi individuals
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Abstract<sec><title>Aims

The negative impact of oral diseases on the function, economy, and general health of the population is well‐documented. In the last decades, evidence linking increased expression of depression and oral diseases/conditions has significantly increased. The aim of this study is to assess the association between oral disease/conditions and self‐reported symptoms of depression individuals.

Methods

A specially designed questionnaire was distributed via social media for 1 week. It consisted of two main sections; the first section was dedicated to collect demographic variables and self‐reported symptoms of oral diseases. The second section, Patient Health Questionnaire‐9 (PHQ‐9), was used to assess the severity of depression via nine questions using a 4‐point Likert scale. Association between depression and oral disease was determined by linear regression analysis.

Results

A total of 1975 participants responded fully to the questionnaire and were included in the final analysis. The majority of participants, about 60%, showed mild to moderate symptoms of depression, while 8.9% expressed severe symptoms. Oral diseases positively associated with depression were caries, missing teeth, gingival bleeding, gingival recession, teeth mobility, and dry mouth (R2 = .155). In contrast, increased esthetic level of teeth/gingiva significantly decreased the feeling of depression.

Conclusions

Results indicated that oral diseases, particularly those adversely affecting function and esthetics, were associated with symptoms of depression in Iraqi individuals. These findings highlighted the importance of maintaining oral health as part of the general psychological wellbeing of the population.

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Wed Jan 01 2025
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This study aims to conduct an exhaustive comparison between the performance of human translators and artificial intelligence-powered machine translation systems, specifically examining the top three systems: Spider-AI, Metacate, and DeepL. A variety of texts from distinct categories were evaluated to gain a profound understanding of the qualitative differences, as well as the strengths and weaknesses, between human and machine translations. The results demonstrated that human translation significantly outperforms machine translation, with larger gaps in literary texts and texts characterized by high linguistic complexity. However, the performance of machine translation systems, particularly DeepL, has improved and in some contexts

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Thu Jun 04 2026
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Al–bahith Al–a'alami
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The propaganda discourse is the most widely circulated in the media and communication studies, where the interest of scholars and researchers in this field has become clear in the analysis and interpretation of the content of this discourse, to identify the intentions, purposes and objectives of the communicator activity, which exceeded the borders of states in the heated atmosphere of rivalries and political conflicts that characterize The countries of the world as a whole and for many years.

In particular, the economically and militarily developed countries (the Nordic capitalist countries) have exerted special efforts in the production of information and ideas, using advanced methods and means in all details of communication w

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Publication Date
Tue Aug 13 2024
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Disagreement in conscience of the affair between grammarians Basrans and Kufans
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Fri Feb 01 2019
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Publication Date
Sat Oct 01 2022
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THE LANGUAGE OF MEDIA BETWEEN THE CLASSICAL LANGUAGE AND THE DIALECT
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Wed May 01 2019
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The Relationships between Relatively Cancellation Modules and Certain Types of Modules
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A Comparative Study on Association Rule Mining Algorithms on the Hospital Infection Control Dataset
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Administrative procedures in various organizations produce numerous crucial records and data. These
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Publication Date
Mon Mar 01 2021
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Serum iron status in association with pregnancy outcomes in infertile women undergoing IVF/ICSI
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