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The effects of maternal environmental tobacco smoke exposure on periodontal health and mother-infant bonding in relation to salivary cotinine level
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Background: Environmental tobacco smoking is produced by active smokers burning the tip of a cigarette and breathed by nonsmokers and measured by cotinine level. It has the potential to raise the risk of periodontal disease. One of the most frequent chronic diseases in adults is periodontal disease. The lower maternal-fetal attachment has been found to predict smoking status in previous studies, but no research has examined whether maternal-fetal attachment predicts environmental tobacco smoking. This study assessed the effects of maternal environmental tobacco smoke exposure on periodontal health and mother-infant bonding concerning salivary cotinine levels. Materials and methods: This is a comparative cross-sectional study comparing environmental tobacco smoke on exposed and non-exposed mothers aged between 20-35 years with their infants aged up to one year who attended primary health care centers in rural areas of AL-Karkh sector/Baghdad. Along with the essential socio-demographic data, a secondhand smoke exposure scale and postpartum bonding questionnaire were employed. Collection of unstimulated saliva from mothers was done according to Navazesh and Kumer in 2008. After that, the clinical Assessment of gingival bleeding and periodontal pockets was performed by using Community Periodontal Index according to the world health organization in 1997. Results: Out of 150 subjects,67(44.66%) were exposed to environmental tobacco whereas the non-exposed mothers were composed of 83 (55.33%). The highest mean number of CPI0(healthy gingiva) and CPI1(gingival bleeding) were among the non-exposed mothers while the highest mean number of CPI2(dental calculus), CPI3 (shallow pocket 4-5mm) and CPI4(deep pocket 6mm or more) were among the exposed mothers. The mean value of cotinine level among the non-exposed mothers was lower than exposed mothers with significant results. A higher salivary cotinine level was linked to a lower maternal-fetal bonding score. Conclusions: Mother’s exposure to environmental tobacco smoke significantly negatively impacts periodontal disease. Furthermore, mothers who have a stronger sense of attachment and affiliation to their fetus have lower salivary cotinine concentrations than mothers who have a less sense of fetal attachment.

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Publication Date
Tue Dec 01 2015
Journal Name
Journal Of Economics And Administrative Sciences
Factors Influencing the Establishment of Investment Portfolios ((Analytical Research in a number of Private Banks in Baghdad))
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Publication Date
Tue Mar 28 2017
Journal Name
Iraqi Journal Of Pharmaceutical Sciences ( P-issn 1683 - 3597 E-issn 2521 - 3512)
Phytochemical Study of Steroidal Sapogenin “Tigogenin” Present in the Leaves of Yucca aloifolia Cultivated in Iraq
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This study detects the presence of the most important steroidal sapogenin “Tigogenin” in the leaves of Yucca aloifolia widely cultivated in Iraq. The absence of any study concerning the Tigogenin content of this medicinal plant in Iraq, and the industrial importance of Tigogenin depending on its role as a precursor in the synthesis of some steroidal drugs, acquired this study its value. This study concerned with extraction, identification, isolation, and purification of Tigogenin from the leaves of Yucca aloifolia. Extraction of this compound was carried out using two methods. Identification of this compound was done using thin layer chromatography (TLC) where different solvent systems had been tried. Liberm

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Fri Apr 26 2024
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Publication Date
Sat Dec 01 2018
Journal Name
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Fri Aug 05 2016
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A comparison study on node clustering techniques used in target tracking WSNs for efficient data aggregation
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Wireless sensor applications are susceptible to energy constraints. Most of the energy is consumed in communication between wireless nodes. Clustering and data aggregation are the two widely used strategies for reducing energy usage and increasing the lifetime of wireless sensor networks. In target tracking applications, large amount of redundant data is produced regularly. Hence, deployment of effective data aggregation schemes is vital to eliminate data redundancy. This work aims to conduct a comparative study of various research approaches that employ clustering techniques for efficiently aggregating data in target tracking applications as selection of an appropriate clustering algorithm may reflect positive results in the data aggregati

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