• Title/Summary/Keyword: Educational staus

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The Impact of Educational Status on 10-Year (2004-2014) Cardiovascular Disease Prognosis and All-cause Mortality Among Acute Coronary Syndrome Patients in the Greek Acute Coronary Syndrome (GREECS) Longitudinal Study

  • Notara, Venetia;Panagiotakos, Demosthenes B.;Kogias, Yannis;Stravopodis, Petros;Antonoulas, Antonis;Zombolos, Spyros;Mantas, Yannis;Pitsavos, Christos
    • Journal of Preventive Medicine and Public Health
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    • v.49 no.4
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    • pp.220-229
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    • 2016
  • Objectives: The association between educational status and 10-year risk for acute coronary syndrome (ACS) and all-cause mortality was evaluated. Methods: From October 2003 to September 2004, 2172 consecutive ACS patients from six Greek hospitals were enrolled. In 2013 to 2014, a 10-year follow-up (2004-2014) assessment was performed for 1918 participants (participation rate, 88%). Each patient's educational status was classified as low (<9 years of school), intermediate (9 to 14 years), or high (>14 years). Results: Overall all-cause mortality was almost twofold higher in the low-education group than in the intermediate-education and high-education groups (40% vs. 22% and 19%, respectively, p<0.001). Additionally, 10-year recurrent ACS events (fatal and non-fatal) were more common in the low-education group than in the intermediate-education and high-education groups (42% vs. 30% and 35%, p<0.001), and no interactions between sex and education on the investigated outcomes were observed. Moreover, patients in the high-education group were more physically active, had a better financial status, and were less likely to have hypertension, diabetes, or ACS than the participants with the least education (p<0.001); however, when those characteristics and lifestyle habits were accounted for, no moderating effects regarding the relationship of educational status with all-cause mortality and ACS events were observed. Conclusions: A U-shaped association may be proposed for the relationship between ACS prognosis and educational status, with participants in the low-education and high-education groups being negatively affected by other factors (e.g., job stress, depression, or loneliness). Public health policies should be aimed at specific social groups to reduce the overall burden of cardiovascular disease morbidity.

Survey for Alternative Therapy Used by Cancer Patients Receiving Radiation Therapy (방사선치료 암 환자의 대체요법 경험실태 조사연구)

  • Park Cheol Woo;Park Tae-Jin
    • The Journal of Korean Society for Radiation Therapy
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    • v.13 no.1
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    • pp.75-90
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    • 2001
  • Although it is presumed that cancer patients take various alternative therapies, the present status is not well recognized. The purpose of this study is to survey alternative therapies used by cancer patients receiving radiation therapy and then, find associated factors of taking alternative therapies. The study subjects were composed of those who receiving radiation therapy in the department of radiation oncology in 5 hospitals located at Extended Busan city and who were on follow-up after medical cure. They were 394 male and female patients over 20 years old. The mean age of the subjects was 53.2 years old and the age ranged from 23 to 83 years old. 188 patients($47.7\%$) used alternative therapies. Total 68 different kinds of alterative therapies were used, average 7.3 kinds per patient were experienced, and average total cost expenditure was 2,830,000 won. Among the alternative therapies, black bean($38.8\%$) was the most commonly used and brown rice($38.3\%$), ganoderm lucidum($37.8\%$), elm tree($33.5\%$), and phellinus linteus($30.8\%$) were followed in order of frequency. However in considering the time, cost and effort spent, phellinus linteus was the first. In terms of cost, phellinus linteus was the highest with average expenditure of 2,740,000 won. Among the motivation of using alternative therapies, expecting auxiliary help for the hospital therapy was the highest ($31.4\%$). About half of users($56.9\%$) of alternative therapies were recommended by their relatives to use alternative therapies. In comparing the characteristics of experienced and unexperienced groups, alternative therapy was experienced significantly more in patients of younger age(p=0.001), in patient of higher educational level(p=0.001), and in patients of higher income(p=0.030) The proportion of using alternative therapies was significantly higher in the group treated with chemotherapy(p=0.005), and in the patients who did not satisfy with radiation therapy(p=0.001). The frequency of drinking was significantly higher tendency in the inexperienced group(p=0.046), There was no significant difference in marital status, job, religion, other disease, surgical operation of the cancer and smoking staus between the two groups. Among the unexperienced group, $34.0\%$ of the patients did not take the alternative therapies because they did not have know]edge for the alternatives, and $22.3\%$ worried about negative effects on hospital-based therapy $58.7\%$ of them were willing to take the alternative therapies if the effects and safety were proven by the government or research institutes. $21.9\%$ of the patients wanted to take the alternatives if they were affordable. $72.3\%$ of the patients was willing to take them if their families recommend, but $27.2\%$ responded they would not take them in any situation. Conclusively, various kinds of alternative therapies which were not proved medically were exposed to patients, In these circumstances, it is required to investigate, study and evaluate the medical effects and safety of the alternative therapies.

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Correlations among Family Support, Self-Esteem and Compliance with Preventive Health. Behavior in Elderly People (노인이 지각한 가족지지와 자아존중감 및 예방적 건강행위 이행과의 관계)

  • Choi Young-A;Park Jum-Hee
    • Journal of Korean Academy of Fundamentals of Nursing
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    • v.6 no.1
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    • pp.141-152
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    • 1999
  • The purpose of this study was to identify correlations among family support, self-esteem and compliance in preventive health behavior in elderly people. The results will provide valuable data for nursing interventions towards help the elderly lead better lives. Those who lived with elderly people in Kimchun were interviewed by the researcher and an assistant. The subjects were 191 elderly people over the age of 65. The study method used was a structured questionnaire and the data were collected from September 17th to September 31th in 1998. The tools for this study were the family support scale designed by Gang Hyun Sook, the self-esteem scale designed by Rosenberg and the preventive health behavior scale designed by Gang Yune Sook. The data were analyzed by the SAS program, Mean, SD, T-test, ANOVA, Pearson Correlation Coefficients. The results of this study are as follows : 1. The mean score for family support was 40.49. The score of family support of the elderly showed significant differences according to age(F=2.66, P<.05), spouse presence(t=4.20, P<.001), family pattern(F=4.56, P<.01), economic status (F=10.47, P<.001) and pocket money(F=10.46, P<.001). 2. The mean score for self-esteem was 29.01. The score of self-esteem of the elderly showed significant differences according to educational level(F=3.47, P<.01), spouse presence(t=2.49, P<.05), family pattern(F=3.79, P<.01), economic staus(F=15.65, P<.001) and pocket money(F=14.04, P<.001). 3. The mean score for compliance with preventive health behavior was 53.15. The score of compliance of preventive health behavior of the elderly showed significant differences according to economic status(F=9.34, P<.001) and pocket money(F=8.13, P<.001). 4. The relation between family support and self-esteem was significantly different(r=.57, P<.001). The relation between family support and compliance with preventive health behavior was significantly different(r=.44, P<.001). The relation between self-esteem and compliance with proventive health behavior was significantey different(r=.51, P<.001), In conclusion, the correlations among lamily support, self-esteem and compliance with preventive health behavior in elderly people showed significant differences.

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