• Journal of Korean Academy of Nursing
• /
• v.38 no.5
• /
• pp.667-675
• /
• 2008

Purpose: The aim of this study was to compare the relation between differently measured sports activities (metabolic equivalent [MET] and peak strain score) and distal radius bone mineral density in college-aged women. Methods: lifetime sports activity was scored in two different ways: 1) a sports activity score by multiplying the intensity (METs) and duration and 2) a sports activity score by adding up physical strain scores based on the ground reaction force of each sports activities. Bone mineral density was measured using dual energy x-ray densitometry (DTX-200) in the distal radius site. Results: In stepwise multiple regression analysis, body weight and sports activities during the college period were significant positive predictors for distal radius bone mineral density. The explained variance of sports activity measured with a peak strain score (8.8%) for distal radius bone mineral density was higher than one measured with the MET score (3.3%). Conclusion: It can be concluded that sports activity scores based on MET and peak strain scores during college are very important for determining the bone mineral density in the distal radius site in women under 30.

• Asian Pacific Journal of Cancer Prevention
• /
• v.17 no.8
• /
• pp.4083-4088
• /
• 2016

Background: Physical inactivity has been identified as the fourth leading risk factor for global mortality and is associated with increased breast cancer diagnosis and recurrence. Purpose: To examine the association between adult lifetime physical activity and breast cancer risk in a case-control analysis. Materials and Methods: This study involved 122 cases of breast cancer and 121 controls in the state of Kelantan in Malaysia. A comprehensive measure of lifetime physical activity was used to assess occupational, household, and recreational/sports activity. For every type of activity, a metabolic equivalent (MET) score was assigned using the compendium of physical activities. MET-hours/week per year for all types of activities at different levels of intensities for different age groups were calculated. Logistic regression analysis was used to estimate odds ratios between various measures of physical activity and breast cancer risk. Conclusions: The mean MET-hours/week per year for all activities were 120.0 and 132.9 of MET-hours/week per year for cases and controls respectively. Household activities accounted for about 70% of the total lifetime physical activities. Only about 2.5% of the total lifetime physical activities were in the form of recreational/sports. This study found no association between lifetime occupational and recreational/sports physical activities with breast cancer risk among Kelantanese women. However, higher intensity lifetime household activities seemed to significantly reduce risk of breast cancer.

• Journal of The Korean Society of Clinical Toxicology
• /
• v.12 no.1
• /
• pp.14-21
• /
• 2014

Purpose: The objective of this study was to develop a new scoring tool that is comprehensively applicable and predicts fatality within 24 h of intoxication. Methods: This was a cohort study conducted in two emergency medical centers from 2011 to 2012. We identified factors associated with severe/fatality. Through a discriminant analysis, we devised the aBIG (age, Base deficit, Infection, and Glasgow coma scale) score. To compare the ability of aBIG to predict intoxication severity with that of previous scoring systems such as APACHE II, MODS, SAPS IIe, and SOFA, we determined the receiver operating characteristic curves of each variable in predicting severe-to-fatal toxicity. Results: Compared with the mild/moderate toxicity group (n=211), the severe/fatal group (n=143) had higher incidences of metabolic acidosis, infection, serious mental change, QTc prolongation and hepato-renal failure. Age, base deficit, infection-WBC count, and Glasgow Coma Scale were independently associated with severe/fatal poisoning. These variables were combined into the poisoning "aBIG" score [$0.28{\times}$Age group+$0.38{\times}WBC$ count/$10^3+0.52{\times}$Base deficit+$0.64{\times}$(15-GCS)], which were each calculated to have an area under the curve of 0.904 (95% confidence interval: 0.868-0.933). The aBIG poisoning score had an equivalent level of severity predictability as APACHE II and a superior than MODS, SOFA, and SAPS IIe. Conclusion: We developed a simplified scoring system using the four variables of age, base deficit, infected leukocytosis, and GCS. The poisoning aBIG score was a simple method that could be performed rapidly on admission to evaluate severity of illness and predict fatal severity in patients with acute intoxications.

• Journal of the East Asian Society of Dietary Life
• /
• v.22 no.2
• /
• pp.175-189
• /
• 2012

The purpose of this study was to investigate the relationship between pack-years of smoking, metabolic biomarkers, and diet quality in male adults. We analyzed data from the combined 2007-2009 Korean National Health and Nutrition Examination Survey (KNHANES). The extent of smoking was quantified in pack-years (py), with 1 py equivalent to 20 cigarettes per day for 1 year. Subjects (n=1,318) were recruited and divided into two groups according to age (30~49 years age group, n=695; ${\geq}50$ years age group, n=623). In ach age group, subjects were divided into three groups according to the extent of smoking, which included non-smokers (30~49 years, n=156; ${\geq}50$ years, n=217), light smoker (30~49 years, n=269; py<16; ${\geq}50$ years, n=189, py<31), and moderate smoker (30~49 years, n=270; $py{\geq}16$; ${\geq}50$ years, n=217, $py{\geq}31$). The Nutrient Adequacy Ratio (NAR) and the number of foods (Dietary Variety Score, DVS) were analyzed by using the data from the 24-recall method. The results showed that moderate smokers were significantly more likely to drink alcohol compared with the other two groups. Triglyceride and cholesterol levels were significantly higher in smoker groups. The non-smoker group consumed significantly higher levels of vitamin C and potassium compared to the smoker groups. In the diet quality, vitamin C NAR of non-smoker group was significantly higher than those of smoker groups. In the ${\geq}50$ age group, the MAR of nonsmoker, light, and moderate smoker groups were 0.81, 0.78, and 0.78 respectively. The smoker group consumed significantly greate sugar and oils compared to the non-smoker group. Py showed a significantly positive relationship with serum triglyceride level, and a negative relationship with MAR after adjusting for potential confounding factors. In conclusion, male moderate smokers take too little vitamin C, partly due to low diet quality. Therefore, a well-planed diet must be used to replace the nutrients lost from excluded food groups in smoker.