• Korean Journal of Health Education and Promotion
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• v.2 no.1
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• pp.97-114
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• 2000

Minority populations in the United States have a higher prevalence of non-insulin-dependent diabetes mellitus (NIDDM) and more persons die of the disease than white persons. This study was to review and compare risk factors and prevalence rates of NIDDM in African Americans, Hispanic s, Korean Americans and Native Americans in the United States. The risk factors of NIDDM, including family history of diabetes, obesity, physical inactivity, diet and age, were reviewed in the minority populations. Risk factors such as obesity, physical inactivity and family history of diabetes occurred to a greater extent in some minority populations than in the white population. Diabetes should be treated as a public health problem for minority populations. Due to the increase of older populations and the increased prevalence of obesity and sedentariness, NIDDM in minorities is nearing epidemic proportions. Good diet and regular exercise can reduce the incidence of NIDDM but an understanding of the cultural aspects of diabetes is imperative in order to provide adequate community health education programs because those programs involve diet and behavior changes, characteristics that are often culturally determined. In summary, it is important to plan a community health education program targeted on NIDDM in a culturally adapted manner that will be received with both comprehension and acceptability. In particular, the program for high-risk populations should be stressed so to prevent diabetes. Preventive approaches to diabetes should be considered because they can be both therapeutic and cost effective.

• Korean Journal of Health Education and Promotion
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• v.3 no.1
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• pp.83-98
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• 2001

Although periodic health examination has been one of the most common practices of preventive medicine, its effect on modification of risk behavior has been seldom assessed. Thus, this study attempted to demonstrate the influence of a health examination on modification of cardiovascular disease related health risk behaviors such as smoking, physical inactivity, and obesity. Data of 893 adults were derived from two types of a popular and highly acclaimed health examination program. With a conceptual model constructed using Persuasive Communication variables, McNemar tests examined Source-Outcome association, hypothesizing that different health examination programs would yield different levels of behavior change in smoking, physical inactivity, and obesity. No significant behavior change was found in any of the two health examination programs. Instead, previously established Receiver-Outcome relationship was reconfirmed by logistic regression modeling where gender was the most prominent predictor of all three behaviors. Men were more likely to be current smokers (OR=0.029), exercisers (OR=2.629), and obese (OR=0.237). The importance of followups after health examination is highly stressed as well as that of gender-specific health education strategies. This study recommends applying the social-ecological approaches in health examination, which emphasizes the support and collaboration at individual, family, organizations, community, and policy level to improve health. Long term and qualitative evaluation of health examination may provide more foundation for increasing the effectiveness of health education and communication in health examinations.

• International Journal of Reliability and Applications
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• v.8 no.1
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• pp.95-109
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• 2007

The purpose of this paper is to study new notions of stochastic comparisons and ageing classes based on the total time on test transform order. We give relationships to other stochastic orders and aging classes given previously. Several preservation properties under the reliability operations of random minima and series system are given.

• Child Health Nursing Research
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• v.4 no.1
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• pp.17-30
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• 1998

In order to investigate the effects of a decreased activity on skinfold thickness, circumference and muscle strength of the extremities during the recovery period following heart surgery, skinfold thickness, circumference and muscle strength of the extremities were measured on days 0, 3, 6, and 9 following the surgery, and compared with those on the arrival day of intensive care unit. Skinfold thickness was measured using a skinfold caliper(Saehan Cor., Korea), circumference of the limbs were measured with a tape measure, upper extremity strength was determined using the Takei grip dynamometer and lower extremity strength was measured by pressing the flatfoot on an electronic digital health meter while tying on a bed. Results from this study were thus : 1. Skinfold thickness of triceps, quadriceps and gastrocnemius muscle on days 3, 6, 9 following the heart surgery was not significantly different from that of on the day of operation. 2. Circumference of midupperarm and midthigh on days 3, 6, 9 following the heart surgery was not significantly different from that of on the day of operation. Circumference of midcalf on days 3, 6 following the heart surgery was not significantly different from that of on the day of operation, while that of midcalf on day 9 following the surgery decreased significantly compared with that of on the day of operation. 3. Muscle strength of the upper extremity was not significantly different from that of on the day of operation, while that of the lower extremity on day 9 following the surgery decreased significantly compared with that of on the day of operation. From these results, it may be concluded that circumference and muscle strength of lower extremity can be decreased due to the postoperative inactivity following heart surgery in congenital heart disease children.

• Annals of Clinical Neurophysiology
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• v.19 no.2
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• pp.118-124
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• 2017

Electroencephalography (EEG) is frequently used to assist the diagnosis of brain death. However, to date there have been no guidelines in terms of EEG criteria for determining brain death in Korea, despite EEG being mandatory. The purpose of this review is to provide an update on the evidence and controversies with regarding to the utilization of EEG for determining brain death and to serve as a cornerstone for the development of future guidelines. To determine brain death, electrocerebral inactivity (ECI) should be demonstrated on EEG at a sensitivity of $2{\mu}V/mm$ using double-distance electrodes spaced 10 centimeters or more apart from each other for at least 30 minutes, with intense somatosensory or audiovisual stimuli. ECI should be also verified by checking the integrity of the system. Additional monitoring is needed if extracerebral potentials cannot be eliminated. Interpreting EEG at high sensitivities, which is required for the diagnosis of brain death, can pose a diagnostic challenge. Furthermore, EEG is affected by physiologic variables and drugs. However, no consensus exists as to the minimal requirements for blood pressure, oxygen saturation, and body temperature during the EEG recording itself, the minimal time for observation after the brain injury or rewarming from hypothermia, and how to determine brain death when the findings of ECI is equivocal. Therefore, there is a strong need to establish detailed guidelines for performing EEG to determine brain death.

• Korean Journal of Adult Nursing
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• v.23 no.4
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• pp.321-331
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• 2011

Purpose: This study was designed to identify the incidence risk of cardicerebrovascular disease (CVD) among male bus drivers, and to examine and compare the predictors of their health behavior according to the level of CVD incidence risk. Methods: The convenience sample of 222 male bus drivers were recruited from a bus company located in Jeonnam province. Data were collected from self-reported questionnaires and annual medical examination records from 2010. The CVD incidence risk was calculated based on the risk criteria for industrial workers. Results: The 26.6% and 26.1% of the participants were in the moderate and high risk group, respectively. The 72% of the participants were in the precontemplation stage and reported no intention to change their unhealthy lifestyles. Stepwise multiple regression analyses showed that current smoking, excessive alcohol drinking, physical inactivity and lack of knowledge were negative predictors of good health behavior in the normal/low risk group (Adj $R^2$=.443). Heavy alcohol drinking, current smoking, physical inactivity and dyslipidemia were reported by the moderate/high risk group (Adj $R^2$=.427). Conclusion: This study suggested that targeted education and counseling are needed to modify unhealthy lifestyles such as alcohol consumption, smoking and exercise among middle aged male drivers. Especially, dyslipidemia should be managed among those who are at risk for CVD.

• Journal of Preventive Medicine and Public Health
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• v.51 no.5
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• pp.219-226
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• 2018

Objectives: This study aimed to explain the health-related quality of life (HRQoL) gap between the poorest and the wealthiest quintiles in the capitals of Kermanshah and Kurdistan Provinces (Kermanshah and Sanandaj), in western Iran. Methods: This was a cross-sectional study conducted among 1772 adults. Data on socio-demographic characteristics, socioeconomic status (SES), lifestyle factors, body mass index, and HRQoL of participants were collected using a self-administered questionnaire. The slope and relative indices of inequality (SII and RII, respectively) were employed to examine socioeconomic inequality in poor HRQoL. Blinder-Oaxaca (BO) decomposition was used to quantify the contribution of explanatory variables to the gap in the prevalence of poor HRQoL between the wealthiest and the poorest groups. Results: The overall crude and age-adjusted prevalence of poor HRQoL among adults was 32.0 and 41.8%, respectively. The SII and RII indicated that poor HRQoL was mainly concentrated among individuals with lower SES. The absolute difference (%) in the prevalence of poor HRQoL between the highest and lowest SES groups was 28.4. The BO results indicated that 49.9% of the difference was explained by different distributions of age, smoking behavior, physical inactivity, chronic health conditions, and obesity between the highest and lowest SES groups, while the remaining half of the gap was explained by the response effect. Conclusions: We observed a pro-rich distribution of poor HRQoL among adults in the capitals of Kermanshah and Kurdistan Provinces. Policies and strategies aimed at preventing and reducing smoking, physical inactivity, chronic health conditions, and obesity among the poor may reduce the gap in poor HRQoL between the highest and lowest SES groups in Iran.

• Safety and Health at Work
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• v.10 no.4
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• pp.527-530
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• 2019

The increasing prevalence of inactivity and obesity, along with aging, has implications on work capacity of labor force. This study reports the relationships between activity level and BMI by age with objectively measured physical workload. Data were examined from a sample of 19 481 Finnish employees using an estimate of minute-to-minute oxygen consumption based on R-R interval recordings. The mean estimated %VO₂max during the working day was 12.1 (±3.6) and 15.1 (±4.5)% for men and women, respectively. Based on a linear model, the mean %VO₂max increased by 1.5%-unit per 10-year increase in age, by 2.1%-unit per 5 kg/㎡ increase in BMI, and decreased by 1.6%-unit if improving physical activity class by two (p < 0.001 for all). Overweight and obesity, together with inactivity, notably increases workload throughout the career, even though at young adulthood, the daily workload is almost the same for each person regardless of the BMI, activity level, or gender. This study highlights the importance of regular physical activity and normal weight in protecting the worker from excessive physical (cardiovascular) workload during the whole working career.

• Journal of Preventive Medicine and Public Health
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• v.41 no.6
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• pp.427-433
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• 2008

Objectives: This study was performed to assess the association between physical activity and the clustering of metabolic abnormalities among Korean children. The effect of substituting moderate to vigorous physical activity for the time spent in inactivity was examined as well. Methods: The study subjects were comprised of 692 (354 boys, 338 girls) 4th grade elementary school students. We used a modified form of the physical activity questionnaire that was developed in the Five-City Project. The subjects with clustering of metabolic abnormalities were defined as having two or more of the following five characteristics: waist circumference ${\geq}90\;%$, systolic or diastolic blood pressure ${\geq}90\;%$, fasting glucose ${\geq}110\;mg/dl$, triglycerides ${\geq}110\;mg/dl$ and HDL cholesterol ${\geq}40\;mg/dl$. We calculated the odds ratios to assess the effect of substituting moderate to vigorous physical activity for time spent in inactivity. Results: The risk of clustered metabolic abnormalities was inversely correlated with the increased time spent on moderate to vigorous physical activity, but the correlation was not significant. The odds ratio for clustering of metabolic abnormalities that represented the effect of substituting moderate to vigorous physical activity for 30minutes of sedentary activity was 0.87(95% Cl=0.76-1.01). Conclusions: These findings suggest that substituting moderate to vigorous physical activity for sedentary activity could decrease the risk of clustered metabolic abnormalities.

• The Journal of Korean Society for School & Community Health Education
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• v.25 no.1
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• pp.29-41
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• 2024

Objectives: This study used an efficient data mining algorithm to explore association rules between the lifestyle risk behaviors and multimorbidity (having more than one chronic disease) in Korean adults. Methods: We used data from the 8th Korean National Health and Nutrition Examination Survey(2019-2020) for 7,609 adults aged ≥19 years. This study was undertaken where 6 lifestyle risk behaviors and 11 morbidities were analyzed using R and Rstudio for the ARM. Results: Among 117 association rules, combinations of hypertension, dyslipidemia and diabetes, hypertension were important role in inadequate sleep, physical inactivity and inadequate weight. Conclusion: The findings of this study are significant because they demonstrate the importance of lifestyle risk factors and the role of multiple chronic diseases using big data analytics such as association rule mining. We recommend developing selective and focused health education programs, such as exercise programs to address physical inactivity, dietary interventions to address inadequate weight, and mental health education programs to address inadequate sleep.