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This study examined the differences in factors associated with albuminuria according to gender and comorbidities of hypertension (HTN) and diabetes mellitus (DM).
We included 3,859 participants aged 20 to 79 years (55% female) from the 5th Korea National Health and Nutrition Examination Survey. Participants were excluded if they took antihypertensive or anti-diabetic medication, had chronic renal failure, had malignant tumor, were pregnant or menstruating during the health examination, or had missing urine albumin data. Albuminuria was defined by the participant's urine albumin-creatinine ratio (uACR). Relationships between dependent and independent variables were analyzed using the Pearson's correlation test and simple linear regression. Due to possible muticollinearity, multiple linear regression analysis was used to determine whether the association between the dependent and independent variables of interest remained significant after adjustment for other potentially confounding independent variables.
The variables significantly correlated with uACR were different between the genders and between subjects with HTN or DM as a comorbidity. In the multiple linear regression models, hemoglobin A1c (P=0.01) was positively associated with uACR in men without HTN and DM. In men with HTN or DM, systolic blood pressure and fasting glucose (P<0.01) were positively associated with uACR. In women with HTN or DM, waist circumference (P=0.011) and gamma-glutamyl transpeptidase (P<0.001) were positively correlated with uACR (P<0.05) and glucose level (P=0.019) was negatively correlated with uACR.
The study suggested factors correlated with albuminuria were different for men and women according to comorbidities such as HTN and DM.
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This study aimed to determine the prevalence of metabolically healthy and unhealthy obesity (MHO and MUO, respectively) and examine the demographic, anthropometric, and lifestyle predictors of metabolic health status in Korean children and adolescents.
This study was based on data collected from the Korean Children-Adolescent Study in 2010. A total of 1,700 children (846 boys and 854 girls) were included in the primary cohort and classified into metabolically healthy and unhealthy groups according to factors related to the metabolic syndrome. Demographic and biochemical features were evaluated in study participants. Logistic regression estimated the odds ratios of having more fat mass among MUO compared with MHO children after adjusting for confounding factors.
Mean body mass index was higher in the MUO group than in the MHO group (24.83 vs. 23.02 kg/m2, respectively). The proportion of obese participants was also higher in the MUO group (59.4%) than in the MHO group (20.7%). MHO children were more likely to have parents with better socioeconomic status and a higher fruit and vegetable intake compared with MUO children. Higher fat mass and percent fat was associated with MUO according to multiple logistic regression analysis.
Fat mass and percent fat are associated with metabolically healthy phenotypes of obesity among children and adolescents.
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Morning blood pressure surge affects to cardiovascular disease risk. Short time to first cigarette (TTFC) after waking can enhance morning blood pressure surge, and accelerate atherosclerosis
We investigated that the relationship between TTFC and blood pressure. The study subjects included male current smokers (n=211) who had health check-up in Hallym University Sacred Heart Hospital from July to September, 2014. We categorized the subjects into 2 groups according to TTFC; early TTFC (TTFC <30 minutes) and late TTFC (TTFC ≥30 minutes), and the subjects who were taking antihypertensive medications or had a high blood pressure (>140 mm Hg or 90 mm Hg) were defined as hypertensive group. Multivariate logistic regression was performed to estimate the odds ratio and 95% confidence interval to investigate the association between TTFC and hypertensive group.
Compared with late TTFC, early TTFC had higher odds (odds ratio [OR], 3.87; 95% confidence interval [CI], 1.89-7.94) for hypertensive group. After adjusting confounding factors, early TTFC was significantly associated with an increased risk of hypertension (OR, 4.43; 95% CI, 1.84-10.70).
early TTFC after waking is associated with hypertension. It suggests delaying TTFC might help to control of blood pressure among the current smokers who are not ready to immediately quit smoking.
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Prognosis in Palliative Care Study (PiPS) predictor models were developed in 2011 to estimate the survival of terminal cancer patients in the United Kingdom. The aim of this study was to validate the PiPS model for terminal cancer patients in Korea, and evaluate its value in clinical practice.
This study included 202 advanced cancer patients who were admitted to the cancer hospital's palliative care ward from November 2011 to February 2013. On admission, physicians recorded the PiPS-A, PiPS-B, and doctor's survival estimates in inpatients.
The median survival across PiPS-A categories was 9, 28, and 33 days, and the median survival across PiPS-B was 9.5, 27, and 43 days. The median actual survival was 25 days; overall accuracy between the PiPS-A, PiPS-B, doctor's estimates of survival, and actual survival was 52.0%, 49.5%, and 46.5%, respectively. The PiPS-A and PiPS-B groups for survival in 'days' showed a sensitivity of 48.4% and 64.1%, and specificity of 87.7%, and 77.5%, respectively. The PiPS-A and PiPS-B groups for survival in 'weeks' showed a sensitivity of 59.2%, and 44.7%, and specificity of 61.6%, and 64.7%, respectively. The PiPS-A and PiPS-B 'months' group showed a sensitivity of 37.1% and 37.1%, and specificity of 74.9% and 78.4%, respectively. The 'weeks' and 'months' groups showed significantly prolonged survival rates than 'days' group did in both PiPS-A and PiPS-B, by the Kaplan-Meier method.
The PiPS predictor models effectively predicted the survival ≥14 days in terminal cancer patients, and were superior to doctor's estimates.
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The number of internet users is increasing rapidly and internet addiction among adolescents has become a serious public health problem in Korea. In the light of behavioral addiction, this study was aimed to identify the associations between the risk of internet addiction and other problem behaviors which can lead to addiction, such as cigarette smoking, alcohol drinking, drug abuse, and sexual intercourse among a nationally representative sample of Korean adolescents.
Data from the 2010 Korean Youth Risk Behavior Web-based Survey (respondents, 73,238) were analyzed. Risk of internet addiction was assessed by the 'Korean Internet Addiction Proneness Scale for Youth-Short Form: Self Report' which was developed by the Korean National Information Society Agency in 2008. Multiple logistic regression analysis was used to calculate the odds ratios of problem behaviors among adolescents at high risk for internet addiction and adolescents at low risk for internet addiction.
The odds of smoking experience, drug abuse experience, and sexual intercourse experience were significantly higher among boys at high risk for internet addiction compared to boys at low risk for internet addiction. Among girls at high risk of internet addiction, the odds of smoking experience, drinking experience, and drug abuse experience were significantly higher compared with girls at low risk of internet addiction.
The risk of internet addiction was associated with cigarette smoking, alcohol drinking, drug abuse, and sexual intercourse experience among Korean adolescents.
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