<sec>
<title>Objectives</title>
<p>The aim of this research was to determine intra-oral factors that affect halitosis in young women.</p></sec>
<sec>
<title>Methods</title>
<p>This study was performed between March 2014 to May 2014, and included 35 women in their 20s with good oral health. Correlation and logistic regression analyses were performed to investigate the change in halitosis immediately, and 1 hour after scaling.</p></sec>
<sec>
<title>Results</title>
<p>In both oral gas (OG) and extraoral gas (EG) groups, halitosis was reduced after scaling compared to before scaling. The logistic regression analysis of oral state factors in OG showed that as oral fluid [odds ratio (OR) = 0.792, <italic>p</italic> = 0.045] and dental plaque (OR = 0.940, <italic>p</italic> = 0.016) decreased by 1 unit, the OR in the OG group decreased (> 50). In addition, as glucose levels in the oral cavity (OR = 1.245, <italic>p</italic> = 0.075) and tongue coating index (OR = 2.912, <italic>p</italic> = 0.064) increased by 1 unit, the OR in the OG group increased (> 50). Furthermore, in the EG group, as oral fluid (OR = 0.66, <italic>p</italic> = 0.01) and dental plaque (OR = 0.95, <italic>p</italic> = 0.04) decreased, the OR in the EG group decreased (> 50) significantly.</p></sec>
<sec>
<title>Conclusion</title>
<p>To control halitosis, it is necessary to increase oral fluid and decrease the amount of tongue plaque. Furthermore, maintaining a healthy oral environment, aided by regular scaling and removal of dental plaque, may significantly control halitosis.</p></sec>
Citations
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Prevalence and associated factors of self‐reported halitosis among institutionalized adolescents: Cross‐sectional study Francisco Wilker Mustafa Gomes Muniz, Laura Barreto Moreno, Taciane Menezes da Silviera, Cassiano Kuchenbecker Rösing, Paulo Roberto Grafitti Colussi International Journal of Dental Hygiene.2023; 21(2): 409. CrossRef
Validation of the Romanian Version of the Halitosis Associated Life-Quality Test (HALT) in a Cross-Sectional Study among Young Adults Raluca Briceag, Aureliana Caraiane, Gheorghe Raftu, Melania Lavinia Bratu, Roxana Buzatu, Liana Dehelean, Mariana Bondrescu, Felix Bratosin, Bogdan Andrei Bumbu Healthcare.2023; 11(19): 2660. CrossRef
Role of Probiotics in Halitosis of Oral Origin: A Systematic Review and Meta-Analysis of Randomized Clinical Studies Nansi López-Valverde, Antonio López-Valverde, Bruno Macedo de Sousa, Cinthia Rodríguez, Ana Suárez, Juan Manuel Aragoneses Frontiers in Nutrition.2022;[Epub] CrossRef
Microbiota in intra-oral halitosis – characteristics, effects of antibacterial mouth rinse treatment D. S. Vikina, I. N. Antonova, V. V. Tec, T. E. Lazareva Parodontologiya.2020; 25(1): 4. CrossRef
<sec>
<title>Objectives</title>
<p>This study aimed to develop a high-risk drinking scorecard using cross-sectional data from the 2014 Korea Community Health Survey.</p></sec>
<sec>
<title>Methods</title>
<p>Data were collected from records for 149,592 subjects who had participated in the Korea Community Health Survey conducted from 2014. The scorecard model was developed using data mining, a scorecard and points to double the odds approach for weighted multiple logistic regression.</p></sec>
<sec>
<title>Results</title>
<p>This study found that there were many major influencing factors for high-risk drinkers which included gender, age, educational level, occupation, whether they received health check-ups, depressive symptoms, over-moderate physical activity, mental stress, smoking status, obese status, and regular breakfast. Men in their thirties to fifties had a high risk of being a drinker and the risks in office workers and sales workers were high. Those individuals who were current smokers had a higher risk of drinking. In the scorecard results, the highest score range was observed for gender, age, educational level, and smoking status, suggesting that these were the most important risk factors.</p></sec>
<sec>
<title>Conclusion</title>
<p>A credit risk scorecard system can be applied to quantify the scoring method, not only to help the medical service provider to understand the meaning, but also to help the general public to understand the danger of high-risk drinking more easily.</p></sec>
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<sec><title>Objectives</title><p>Preterm birth (PTB) is a leading cause of neonatal death and the second biggest cause of death in children under five years of age. The objective of this study was to determine the prevalence of PTB and its associated factors using logistic regression and decision tree classification methods.</p></sec><sec><title>Methods</title><p>This cross-sectional study was conducted on 4,415 pregnant women in Tehran, Iran, from July 6–21, 2015. Data were collected by a researcher-developed questionnaire through interviews with mothers and review of their medical records. To evaluate the accuracy of the logistic regression and decision tree methods, several indices such as sensitivity, specificity, and the area under the curve were used.</p></sec><sec><title>Results</title><p>The PTB rate was 5.5% in this study. The logistic regression outperformed the decision tree for the classification of PTB based on risk factors. Logistic regression showed that multiple pregnancies, mothers with preeclampsia, and those who conceived with assisted reproductive technology had an increased risk for PTB (<italic>p</italic> < 0.05).</p></sec><sec><title>Conclusion</title><p>Identifying and training mothers at risk as well as improving prenatal care may reduce the PTB rate. We also recommend that statisticians utilize the logistic regression model for the classification of risk groups for PTB.</p></sec>
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Conclusions
It is concluded that this study helps in conducting rapid survey to identify the presence of <i>Aedes</i> larvae with a minimum number of staff for both inspection and treatment of <i>Aedes</i> larvae during the epidemic situation.
Objectives
To predict dwellings for the presence of <i>Aedes</i> larvae rapidly based on Premises Condition Index (PCI) factors, we studied the possible presence of <i>Aedes</i> species mosquitoes larvae among houses in the Chidambaram urban of Cuddalore District in Tamil Nadu, India based on the scores of variables in PCI, namely House, Yard and degree of shadow. Data of these variables were collected in September and October 2006 from 1813 houses in the Chidambaram urban area during the intensive vector control activities employed for the prevention and control of Chikungunya. Methods
The association between presence of larvae and the variables of PCI was tested by Chi-square and Correlation. The predictability of the presence of <i>Aedes</i> larvae based on PCI factors was computed by logistic regression. Results
The study shows 301 containers in 132 houses were found positive with <i>Aedes</i> species out of 1813 houses surveyed. It was further observed that the probability of presence of positive premises was four times higher in the premises with 75% shadow compared with premises with a 25% shadow. These findings showed a significant association (<i>p</i> < 0.001) with positive premises.
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