• Industry Promotion Research
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• v.7 no.1
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• pp.35-42
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• 2022

The purpose of this study was to establish an Improvement Plan to determine the cause of the abuse occurred for the elderly who live in urban areas, and analyzed by type. This study was conducted to survey targeted the more than 65-year-old man as the center of Seoul Mapo area. The independent variables in the research model is elder abuse causes, the sociological characteristics as control variables population was the dependent variable in the elderly abuse. As a result; First, investigate the differences in the cause and the cause of elder abuse according to demographic characteristics. The causes of elder abuse, age of the higher age group showed high levels of elder abuse causes. Showed that less than a high school education than graduate school. Second, investigate the factors influencing the occurrence of elder abuse experiences of the subjects. Personal factors of elder abuse causes of those surveyed, family environmental factors, social, and refers to the result that the higher the level of cultural factors increase the occurrence of elder abuse experience. Third, investigate the differences in the cause and the cause of elder abuse according to demographic characteristics. The causes of elder abuse, age of the higher age group showed that the level of elder abuse occurs and causes high experience. Fourth, investigate the factors influencing the occurrence of elder abuse experiences of the subj ects. This personal factors of elder abuse causes of those surveyed, family environmental factors, social, and refers to the results of the higher levels of cultural factors that increase the occurrence of elder abuse experience. In conclusion, elder abuse is personal factors, environmental factors, family, social and cultural factors, the higher the level can be seen that type of elder abuse Elder abuse occurs, formed by many, accordingly. Therefore, in order to improve elder abuse should be healing the cause according to the type of elder abuse appears essentially as a result from this research.

• The Journal of Korean Society for School & Community Health Education
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• v.8 no.2
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• pp.35-48
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• 2007

Background & Objective: The purpose of this study was to identify the level of health behavior and taking courses related with those subjects by college students and analyse the factors that have effect on these issues so that provide a basic material in developing policy and education program that can increase the level of health behavior for them. Methods: A questionnaire was applied 1,500 college students for two months from October 10 to 30, 2007. Results: 1) When viewing the objects of this study as general traits and social economic ratio, 'female' was 59.4%, BMI index of '20-14' was 52.7%, department of natural science was 47/7%, and 'their own house' was 51.0%. 2) When viewing the experience of taking courses related with health by the trait of demography and sociology, 'no' was most high by showing 42.2%, and those of female. under 19 in BMI index, and the department of natural science showed no experience. 3) When viewing satisfaction with college life they showed $3.00{\pm}0.71$, stress level in college life $2.84{\pm}0.41$, the level of health behavior $2.06{\pm}0.65$. 4) When viewing taking courses related with health, stress in college life. and health behavior according to satisfaction with college life they showed $2.06{\pm}0.59$. 5) When viewing the level of health behavior according to demographic and sociological traits, the habit of eating was $2.48{\pm}0.52$ and health care was $2.96{\pm}0.47$. 6) When viewing the effect of factors on health behavior, there were gender, age, residence area, grade, and satisfaction with college life. Conclusion: As we can see from the results above, it is the fact that the students in college are neglecting the subjects related with health owing to short period of education and major based education by the education aim of fostering professional career manpower. Therefore it needs open many culture courses for the subject related with health in college for the students to increase their health level as well as their major, and also there needs combined improvement of college and government system.

• The Journal of the Korea Contents Association
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• v.16 no.1
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• pp.263-273
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• 2016

The purpose of this research is to verify that adjustment resilience has a moderating effect on the influence of social exclusion regarding suicide in senior citizens, and the research results are as follows: First, the demographic sociological factors that affect suicidal impulse have been shown to be age, education level, marriage status, and child co-residence. Senior citizens between the ages of 75 and 80 have been shown to have the most suicidal impulses, whereas the tendency to have such suicidal impulses increases as the level of education decreases. Furthermore, those seniors who are unmarried or single due to divorce, death, or separation and those who do not live with their children tended to have stronger, more frequent suicidal impulses. Second, seniors have been shown to suffer stronger suicidal impulse when subjected to more serious social exclusion. Third, it has been verified that adjustment resilience has a strong moderating effect on the influence of social exclusion regarding the suicidal impulses of senior citizens. Last, the results of the inclination test (Hypothesis Test for Slope of Inclination) have shown that adjustment resilience tends to be lower in the group that is more socially excluded. The purpose of this research is to suggest the direction of social policy creation in order to prevent suicide by senior citizens and set forth the practical implication regarding adjustment resilience as a protection factor for further studies.

• Korean Journal of Health Education and Promotion
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• v.25 no.5
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• pp.39-51
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• 2008

The objectives of this study were to analyze the socio-economical factors related to smoking and drinking behaviors using the Korea Welfare Panel data. The key variables were sex, age, frequency of health and medical facilities visit, subjective health level, smoking level, drinking level, depression symptoms, and low income level. Since the health variables in the Welfare Panel data were limited, the analysis was exploratory. In male population of those older than 30 years old, low income group people were more likely to smoke cigarettes than the general income population. In the result of the Chi square analysis, the smoking rate showed significantly different relationships with the different age groups, gender and income level. According to the descriptive analysis, persons with low income level were more likely to experience health risk behaviors and showed more medical service utilization. The utilization of the local public health centers was 4.6% for the Bow income level and 1% for the general level. The higher smoking rate was associated with the younger age, and the lower income. The smoking rate in the age category from 20 to 29 was 23.3% for the general level and 25% for the low income level. On the other hand, the drinking rate was even higher in the general families. The rates of non use of alcohol was 36.7% in the general families and 58.4% for the low income families. For both smoking and high risk drinking issues, demographic and sociological variables such as sex, age, education levels and income levels were analyzed, and there wer significant relationships. Health risk factors were serious for males, with age groups of 20's and 30's, lower education level, and in a low income family. In general, females were more unhealthy. The rates of smoking and drinking were higher in the low income level. Even in the health and nutrition survey results in 2005, persons in the low income class were experiencing poorer health in health level or the degree of action restriction. Since the effects of the health promotion could not be measured in a short period of time, it has not been easy to create the basis for the substantial effects. Factors related to health risks needs to be continuously studied using data from diverse field.

• Journal of Society of Preventive Korean Medicine
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• v.12 no.1
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• pp.19-48
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• 2008

In order to verify the risk of onset of the illnesses based on gender, age, and monthly income 1,739 subjects from Hongcheon county, Gangwon province were selected. Questionnaire on demographic sociology, health condition, existence of illnesses(cancer, hypertension, stroke, diabetes, arthritis, cardiac disorders), and usage of public health services was surveyed from October 1, 2006 to October 20, 2006. Following conclusions were reached on the basis of the questionnaire : - For demographic sociological peculiarities, gender, age, occupation, and education level were evenly distributed. Most were under normal marriage(67.38%), health insurance(86.39%), 494(36.0%) individuals with less than monthly income of 1 million won, 494(36.0%) individuals with monthly income between 1 and 2 million won, 219(16.0%) with monthly income between 2 and 3 million won, and 164(12.0%) individuals with more than 3 million won, thus showing relatively low income. - For health status, 1,199(70.28%) individuals are non-smokers, 209(45.63%) individuals smoke $10{\sim}20$ cigarettes a day, 754(44.02%) individuals exercise less than twice a week are the major sector of the population. 1,518(88.10%) individuals have regular checkup more than once and 1,131(65.49%) stated their health condition less than average. - For comparison of existence of illnesses between genders, there was no statistical significance on cancer, stroke, and diabetes. But statistical significance was shown on hypertension(P value 0.025), arthritis(P value 0.000), and cardiac disorders(P value 0.016). Statistical significance was seen in the age comparison, and OR(confidence interval) drastically increased with increase in age. - There was no difference between the primary health clinic(P value 0.000), most visited clinic(P value 0.000), selection criteria(P value 0.000), and satisfaction on efficacy(P value 0.000). There was a tendency preferring hospital than public health center with increase in income. - For correlation between the existence of illnesses among different income levels, except for cancer(P value 0.172), statistical significance was seen in hypertension(P value 0.000), stroke(P value 0.003), diabetes (P value 0.001), arthritis(P value 0.000), and cardiac disorders(P value 0.000). The number of individuals suffering from illnesses and ratio all decreased for all illnesses with increase in income. - After adjusting confounding factors(gender, age, income, marriage, occupation, education) and male (1) as the standard, OR (confidence interval) of cancer, hypertension, stroke, diabetes, arthritis, cardiac disorders were 0.47(0.11${\sim}$2.05), 1.27(0.89${\sim}$1.81), 0.58(0.21${\sim}$1.59), 0.71(0.41${\sim}$1.23), 1.79(1.34${\sim}$2.39, P<0.01), and 1.46(0.72${\sim}$2.96), respectively. Risk of arthritis is significantly high in female and 20's (1) as the standard, OR(confidence interval) of cancer, hypertension, stroke, diabetes, arthritis, cardiac disorders were 1.01(0.96${\sim}$1.07), 1.06(1.04${\sim}$1.07, P<0.01), 1.05(1.01${\sim}$1.10, P<0.01), 1.06(1.03${\sim}$1.08, P<0.01), 1.05(1.03${\sim}$1.06, P<0.01), and 1.06(1.04${\sim}$1.09, P<0.01), respectively. Risk of onset for illnesses significantly increased with yearly aging except for cancer. - For comparison between monthly income after adjusting confounding factors(gender, age, income, marriage, occupation, education), with less than 1 million won (1) as the standard, OR(confidence interval) of cancer for 1 to 2 million won, 2 to 3 million won, and more than 3 million won were 0.23(0.03${\sim}$2.16), 2.53(0.41${\sim}$15.43), and 1.73(0.15${\sim}$19.50), respectively. OR(confidence interval) of hypertension were 1.12(0.76 ${\sim}$1.66), 0.68(0.34${\sim}$1.34), and 2.04(1.08${\sim}$3.86, P<0.01), respectively. OR(confidence interval) of stroke were 0.96(0.30${\sim}$3.08) for 1 to 2 million won, and 0.80(0.08${\sim}$8.46) for 2 to 3 million won. OR(confidence interval) of diabetes were 0.73(0.38${\sim}$1.38), 0.65(0.24${\sim}$1.71), and 0.69(0.24${\sim}$2.01), respectively. The values were 0.76(0.55${\sim}$1.03), 1.14(0.75${\sim}$1.73), and 0.90(0.56${\sim}$1.46), respectively for arthritis. OR(confidence interval) of cardiac disorders were 1.15(0.53${\sim}$2.48), 0.63(0.13${\sim}$3.12), and 1.20(0.28${\sim}$5.14), respectively. Risks of cancer, hypertension, stroke, diabetes, arthritis, and cardiac disorders were dependent of monthly income, and stroke and diabetes decreased with increase in income. Summarizing above data, arthritis was significantly higher in women and increase in age by each year brought significant increase in the chance of onset in hypertension, stroke, diabetes, arthritis, and cardiac disorders except for cancer. Stroke and diabetes decreased with increase in income. Above findings can be applied and reflected in public health policies at the national level, and it can also be applied at the personal level for individual health maintenance and prevention.