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1.  Seasonal variation of effect of air pollution on blood pressure 
Background
Many studies have shown a consistent association between ambient air pollution and an increase in death due to cardiovascular causes. An increase in blood pressure is a common risk factor for a variety of cardiovascular diseases. However, the association between air pollution and blood pressure has not been evaluated extensively.
Methods
In this cross‐sectional study, we measured blood pressure in 10 459 subjects who had a health examination from 2001 to 2003, and calculated individual's exposure to ambient levels of air pollutants. To evaluate the relationship between exposure to air pollutants and blood pressure with respect to season, we performed a multiple regression analysis, separately, according to season, controlling for individual characteristics and meteorological variables.
Results
In the warm‐weather season (July–September), particulate air pollutant of <10 μm (PM10) and nitrogen dioxide (NO2) concentrations were significantly associated with measures of blood pressure. During cold weather (October–December), blood pressure was significantly associated with sulphur dioxide (SO2) and ozone (O3) concentrations. The significant association between PM10 or NO2 and blood pressure disappeared during the cold‐weather season.
Conclusion
We found a seasonal variation for the association between ambient air‐pollutant concentrations and blood pressure.
doi:10.1136/jech.2006.049205
PMCID: PMC2652940  PMID: 17372291
2.  Spontaneous Tonsillar Hemorrhage and Post-Tonsillectomy Hemorrhage 
Spontaneous tonsillar hemorrhage from infectious causes is extremely rare and post-tonsillectomy hemorrhage, although also relatively rare, is an unavoidable complication of the procedure. Hemorrhage in association with tonsillitis or tonsillectomy is potentially dangerous and can be life threatening. We report here the presentation and management of a 42-yr-old man with severe spontaneous hemorrhage from infected tonsils and post-tonsillectomy hemorrhage. We suggest that if attempts to control the bleeding are not successful or if severe spontaneous tonsillar hemorrhage occurs repeatedly or a malignancy is suspected, tonsillectomy and close postoperative follow up is recommended.
doi:10.3342/ceo.2010.3.1.56
PMCID: PMC2848321  PMID: 20379405
Hemorrhage; Palatine tonsil; Tonsillectomy
3.  Validation of the Korean translation of obesity-related problems scale assessing the quality of life in obese Korean 
Purpose
The objective of this study was to translate the obesity-related problems (OP) scale for Koreans and to validate it for use in Korean populations.
Methods
Translation and back-translation of the OP scale was performed and a pilot test was conducted. Following this, patients who had received treatment at the Obesity Center of Inha University Hospital were selected for participation in the field test. Cronbach's alpha (α) was used for assessment of the internal consistency of the OP scale. Spearman's correlation coefficients were used to assess the concurrent validity between the OP scale, the EuroQoL-5D (EQ-5D), and the Beck depression inventory (BDI) scale. One-way analysis of variance and t-test were used to assess the factors associated with the OP scale.
Results
A total of 67 individuals participated in the field study. The standardized Cronbach's α of the OP was 0.913. A significant negative correlation was observed between the OP scale and the EQ-5D and a positive correlation was observed between the OP scale and the BDI (the correlation coefficient with EQ-5D = -0.316, and the BDI = 0.305, P < 0.05).
Conclusion
The results of this study prove that the Korean version of the OP has been translated and adapted correctly in order to meet the standard of its use.
doi:10.4174/jkss.2013.84.3.140
PMCID: PMC3594641  PMID: 23486934
Obesity; Quality of life; Questionnaires; Validity; Obesity-related problems scale
4.  A Prospective Population-based Study of Total Nasal Resistance in Korean Subjects 
Objectives
Rhinomanometry is a widely accepted method for objective assessment of nasal patency. However, few studies have reported the values of otherwise healthy population for nasal resistance in East Asians. The purpose of this study was to measure normal total nasal resistance (TNR) values in a large sample of Korean adults and to reveal parameters contributing to TNR values.
Methods
Subjects were enrolled from a cohort of the Korean Genome and Epidemiology Study. They were evaluated by anthropometry, questionnaire, and active anterior rhinomanometry at transnasal pressures of 100 and 150 Pascal (Pa).
Results
The study sample consisted of 2,538 healthy subjects (1,298 women and 1,240 men) aged 20 to 80 years. Normal reference TNR values were 0.19±0.08 Pa/cm3/second at 100 Pa and 0.22±0.09 Pa/cm3/second at 150 Pa. The TNR of women was significantly higher than that of men (P<0.0001). TNR decreased with increasing age in both genders (P<0.05). In women, lower body weight was related to increasing TNR. In men, current smokers had higher TNR than ex-smokers and never smokers.
Conclusion
The results of the present study provide information regarding the values of otherwise healthy population of TNR and parameters associated with TNR in Korean adults.
doi:10.3342/ceo.2012.5.1.39
PMCID: PMC3314804  PMID: 22468201
Adult; Body weight; Nasal obstruction; Reference values; Rhinomanometry; Smoking
5.  Clinical Implications of Mandible and Neck Measurements in Non-Obese Asian Snorers: Ansan City General Population-Based Study 
Objectives
Anthropometric abnormalities of the mandible and neck may contribute to snoring in non-obese Asians. The study evaluated the clinical implications of mandible and neck measurements in non-obese Asian snorers.
Methods
The external mandible and neck measurements (neck circumference, two lengths of neck, mandibular body angle, and lengths of mandibular ramus and body) were compared between snorers and non-snorers in a sample of 2,778 non-obese Koreans (1,389 males, 1,389 females) aged 40 to 69 years (mean, 48.47±7.72 years).
Results
The overall prevalence of snoring was 64.7% (899/1,389) and 48.3% (671/1,389) in non-obese male and female subjects, respectively. In non-obese males, snorers had significantly a greater neck circumference (P<0.0001) and shorter mandibular body length (P=0.0126) than non-snorers. In non-obese females, snorers had significantly greater neck circumferences (P=0.0165), compared with non-snorers. However, there were no statistically significant differences in other variables between non-snorers and snorers.
Conclusion
Anthropometric abnormalities of the mandible and neck, including thick neck circumference in both genders and small mandible size in males, may be relevant contributing factors to snoring in non-obese Asian snorers.
doi:10.3342/ceo.2011.4.1.40
PMCID: PMC3062226  PMID: 21461062
Asian; Population; Snoring; Mandible; Neck
6.  Optimal Continuous Positive Airway Pressure Level in Korean Patients with Obstructive Sleep Apnea Syndrome 
Objectives
The aim of this study was to investigate optimal continuous positive airway pressure (CPAP) level, to examine the factors affecting optimal CPAP level, and to develop a predictive equation for optimal CPAP level in Korean patients with obstructive sleep apnea syndrome (OSAS).
Methods
A total of 202 patients with OSAS who underwent successful manual titration for CPAP treatment were included in this study. Correlations between the optimal CPAP level and baseline data including anthropometric and polysomnographic variables were analyzed. A predictive equation for optimal CPAP level was developed based on anthropometric and polysomonographic data.
Results
The mean optimal CPAP level in 202 patients with OSAS was 7.8±2.3 cm H2O. The mean optimal CPAP level in the mild, moderate, and severe OSAS groups was 6.0±1.3, 7.4±1.9, and 9.1±2.1 cm H2O, respectively. The apneahypopnea index (AHI) (r=0.595, P<0.001), arousal index (r=0.542, P<0.001), minimal SaO2 (r=-0.502, P<0.001), body mass index (BMI) (r=0.494, P<0.001), neck circumference (r=0.265, P<0.001), and age (r=-0.164, P=0.019) were significantly correlated with optimal CPAP level. The best predictive equation according to stepwise multiple linear regression analysis was: Optimal CPAP level (cm H2O)=0.681+(0.205×BMI)+(0.040×AHI). Forty-two percent of the variance in the optimal CPAP level was explained by this equation (R2=0.42, P<0.001).
Conclusion
A predictive equation for optimal CPAP level in Korean patients with OSAS was developed using AHI and BMI, which can be easily measured during the diagnostic process.
doi:10.3342/ceo.2010.3.4.207
PMCID: PMC3010540  PMID: 21217962
Obstructive sleep apnea syndrome; Continuous positive airway pressure; Polysomnography; Body mass index
7.  GSTM1 and GSTP1 Polymorphisms as Potential Factors for Modifying the Effect of Smoking on Inflammatory Response 
Journal of Korean Medical Science  2006;21(6):1021-1027.
Inflammation has been known to be an important underlying condition for development of various diseases including cancer. The aims of this study were to investigate whether tobacco smoke exposure increases the level of inflammation biomarkers and the GSTM1 and GSTP1 gene polymorphisms are associated with inflammatory response due to tobacco smoke exposure. We measured urinary cotinine level in 300 healthy university students. Total serum TNF-α levels and blood WBC counts were determined to evaluate inflammatory response. Allelic loss of the GSTM1 and the GSTP1 (Ile105Val) polymorphism were determined by PCR and RFLP. Tobacco smoke exposure was found to be associated with increase of both TNF-α level and WBC count. Particularly, smokers with combination of GSTM1 null and GSTP1 AG or GG genotypes showed higher TNF-α level than those with the other genotype combinations (p=0.07). This result suggests that smoking may induce inflammation measured as TNF-α level or WBC count and combinations of the GSTM1 and GSTP1 polymorphisms may modify the effect of smoking on serum TNF-α level.
doi:10.3346/jkms.2006.21.6.1021
PMCID: PMC2721922  PMID: 17179680
Smoking; Inflammation; Tumor Necrosis Factor-alpha; Leukocytes; glutathione S-transferase M1; Glutathione S-Transferase pi; Polymorphism, Genetic

Results 1-7 (7)