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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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Fri Feb 01 2019
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Sun Jul 07 2013
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Thu Jan 10 2019
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Contemplative thinking among students of middle school
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Publication Date
Thu May 10 2018
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Global Journal Of Health Science; Issn 1916-9736 E-issn 1916-9744
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Wed Mar 29 2023
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The Correlation between Serum Inositol 1,4,5 Triphosphate Level and Primary Hypothyroidism
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Publication Date
Tue Mar 01 2022
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Comparison between Expert Systems, Machine Learning, and Big Data: An Overview
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Today, the science of artificial intelligence has become one of the most important sciences in creating intelligent computer programs that simulate the human mind. The goal of artificial intelligence in the medical field is to assist doctors and health care workers in diagnosing diseases and clinical treatment, reducing the rate of medical error, and saving lives of citizens. The main and widely used technologies are expert systems, machine learning and big data. In the article, a brief overview of the three mentioned techniques will be provided to make it easier for readers to understand these techniques and their importance.

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Thu Jan 01 2015
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US strategy in conflict management: between hard power and soft power
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