• Journal of Hospice and Palliative Care
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• 제4권1호
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• pp.14-25
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• 2001

목적 : 통증에 있어서의 성별차이에 대한 연구결과에 있어서 일치하지 않고 있다. 이에 암환자를 대상으로 성별에 따른 통증정도를 살펴보고, 통증과 우울 및 활동도의 상호작용에 있어서도 성별에 따른 차이가 있는 지를 규명하기 위함이다. 방법 : 1999년 2월부터 6월까지 서울소재 S대학교 병원 혈액종양내과에 입원 또는 외래치료중인 암환자 140명(남성 78명, 여성 62명)을 대상으로 하였으며, 통증정도는 한국판 간이 통증 평가도구(BPI-K), 우울은 한국판 Beck Depression Inventory를 이용한 설문지를 통하여 수집되었고, 기타 인구학적 및 임상학적 자료는 의무기록 열람 및 주치의의 의견을 참조하여 수집되었다. 대상자를 서술하기위해 빈도, 평균, 표준편차를 구하였으며, 집단간 비교에서 불연속척도는chi-square test를 하였고, 연속척도는 t-test를 하였으며, 변인간 상관관계는 Pearson 상관계수를 구하였다. 결과 : 1) 통증의 중증도의 경우 통증정도가 24시간 동안 가장 심했을 때 통증 평균은 남성이 5.77점, 여성이 6.45점이었다. 통증으로 인한 지장정도는 남성의 경우 기분(5.49점), 인생을 즐김(5.36점), 통상적인 일(5.00점)이 순이었으나, 여성의 경우는 통상적인 일(7.48점), 인생을 즐김(7.16점), 기분6.53점) 순이었다. 2) 통증의 중증도의 경우 24시간 동안 평균 통증정도(t=-2.130, P=.035)에서 남성과 여성간에 유의한 차이가 나타났으며, 통증으로 인한 장애정도에서는 활동(t=-2.450, P=.015), 기분(t=-2,321, P=.022), 보행 능력(t=-2.762, P=.007), 통상적인 일(t=-4.946, P=.000), 대인관계(t=-2.595, P=.010), 수면(t=-2.071, P=.040), 인생을 즐김(t=-3.198, P=.001)에서 남성과 여성간에 통계적으로 유의한 차이가 나타났다. 3) 통증과 우울과의 상관관계 분석결과, 통증의 중증도에서 남성의 경우 24시간동안 가장 심했을 때 통증정도와 우울(r=0.323, P<.05), 평균 통증정도와 우울(r=.236, P<.05) 및 조사당시 바로 지금 느끼는 통증정도와 우울(r=0.248, P<.05)이 통계적으로 유의한 정적 상관관계가 나타난 반만 여성에서는 조사당시 바로 지금 느끼는 통증정도와 우울(r=.250, P<.05)만이 유의한 정적상관관계가 나타났다. 통증으로 인한 지장정도의 경우 남성은 모든 항목과 우울간 유의한 정적상관관계가 나타난 반만 여성에서는 전 항목과 우울간에 유의한 관계가 나타나지 않았다. 통증과 활동성 정도와의 상관관계 분석결과, 통증의 중증도에서 남성의 경우 24시간동안 가장 심했을 때 통증정도와 활동성 정도(r=0.378, P<.05), 평균 통증정도와 활동성 정도가(r=.330, P<.05)가 유의한 정적상관관계가 나타난 반면, 여성에서는 활동성 정도와 통증의 중증도는 유의한 관계가 없는 것으로 나타났다. 남성은 관계를 제외한 모든 항목의 통증으로 인한 지장정도와 활동성 정도가 유의한 정적상관관계가 나타난 반만 여성에서는 보행 능력, 통상적인 일, 인생을 즐김 항목과 활동성 정도간 유의한 정적 상관관계가 있었다. 결론 : 암환자의 통증정도 및 지장정도는 여성이 남성보다 높았으며, 통증과 우울 및 활동도와의 상관관계에서 차이를 보였다. 앞으로 암성통증 관리 대책 수립시 여성과 남성의 이러한 차이를 고려하여야 한다.

• 보건교육건강증진학회지
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• 제2권1호
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• pp.3-50
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• 1984

The levels of health knowledge, attitude and practice of housewives considerably effect to the health of households, communities and the nation. This study was designed to grasp the levels of health knowledge, attitude and practice of houswives and analyse the various factors effecting to health in order to provide health education services as well as materials for effective formulation and implementation of health policy to improve the health of the nation. This study has been conducted through interviews by trained surveyers for 4,281 housewives selected from 4,500 households throughout the country for 40 days during July 11-August 20, 1983. The results of survey were analysed by stepwise multiple regression and path analysis are summarized as follows; 1. Based on the measurement instrument applied to this study, the levels of health knowledge, attitude and practice of housewives were extremely low with 54.5 points out of 100 points in full. Higher level with 72 points and above was approximately 21 percent and lower level with 39 points and below was approx. 24 percent. The middle level was approx. 55 percent. In order to implement health programs successively, health education should be more strengthened and to improve the level of health knowledge, attitude and practice (KAP) of the nation, political consideration as a part of spiritual reformation must be concentrated on health. 2. The level of health knowledge indicated the highest points with 57.3 the level of attitude was the second with 55.0 points and the practice level was the lowest with 50.0 point. Therefore, planning and implementation of health education program must be based on the persuasion and motivation that health knowledge turn into practice. 3. Housewives who had higher level of health knowledge, showed their practice level was relatively lower and those who had middle or low level of it practice level was the reverse. 4. Correlations among health knowledge, attitude and practice (KAP) were generally higher and statistically significant at 0.1 percent level. Correlation between total health KAP level and health knowledge was the highest with r=.8092. 5. Health KAP levels showed significant differences according to the age, number of children, marital status, self-assessed health status and concern on health of the housewives interviewed (p<0.001) 6. Health KAP levels also showed significant differences according to the education level, economic status, employment before marriage and grown-up area of the housewives interviewed. (p<0.001) 7. Heath KAP levels showed significant differences according to health insurance benificiary and the existence of patients in the family. (p<0.001). 8. Health KAP levels showed significant differences according to distance to government organizations, schools, distance to health facilities, telephone possession rate, television possession rate, newspaper reading rate and activities of Ban meeting and Women's club. (p<0.001) 9. Health KAP levels showed significant differences according to electric mass communication media such as television, radio and village broadcasting etc. and printed media such as newspaper, magazine and booklets etc., IEC variables such as individual consultation and husband-wife communication, however, there was no significance with group training. 10. Health KAP of the housewives showed close correlation with personal characteristics variables, i.e., education level (r=.5302), age (r=-.3694) grown-up area (r=.3357) and employment before marriage. In general, correlation of health knowledge level was higher than the levels of attitude or practice. In case of health concern and health insurance, correlation of practice level was higher than health knowledge level. 11. Health KAP levels showed higher correlation with community environmental characteristics, Ban meeting and activity of Women's club, however, no correlation with New-village movement. 12. Among IEC variables, husband-wife communication showed the highest correlation with health KAP levels and printed media, electric mas communication media and health consultation in order. Therefore, encouragement of husband-wife communication and development of training program for men should be included in health education program. 13. Mass media such as electric mass com. and printed media were effective for knowledge transmission and husband-wife communication and individual consultation were effective for health practice. Group training was significant for knowledge transmission, however, but not significant for attitude formation or turning to health practice. To improve health KAP levels, health knowledge should be transmitted via mass media and health consultation with health professionals and field health workers should be strengthened. 14. Correlation of health KAP levels showed that knowledge level was generally higher than that of practice and recognized that knowledge was not linked with attitude or practice. 15. The twenty-five variables effecting health KAP levels of housewives had 41 per cent explanation variances among which education level had great contribution (β=.2309) and electric mass com. media (β=.1778), husband-wife communication (β=.1482), printed media, grown-up area, and distance to government organizations in order. Variances explained (R²) of health KAP were 31%, 15%, and 30% respectively. 16. Principal variables contributed to health KAP were education level (β=.12320, β=.1465), electric mass comm. media (β=.1762, β=.1839), printed media, (β=.1383, β=.1420) husband-wife communication (β=.1004, β=.1067), grown-up area and distance to government organizations, in order. Since education level contributes greatly to health KAP of the housewives, health education including curriculum development in primary, middle and high schools must be emphasized and health science must be selected as one of the basic liberal arts subject in universities. 17. Variences explained of IEC variables to health KAP were 19% in total, 14% in knowledge, 9% in attitude, and 10% in health practice. Contributions of IEC variables to health KAP levels were printed media (β=.3882), electric mass comm media (β=.3165), husb-band wife com. (β=.2095,) and consultation on health (β=.0841) in order, however, group training showed negative effect (β=-.0402). National fund must be invested for the development of Health Program through mass media such as TV and radio etc. and for printed materials such as newspaper, magazines, phamplet etc. needed for transmission of health knowledge. 18. Variables contributed to health KAP levels through IEC variables with indirect effects were education level (Ind E=0.0410), health concern (Ind E=.0161), newspaper reading rate (Ind E=.0137), TV possession rate and activity of Ban meeting in order, however, health facility showed negative effect (Ind E=-.0232) and other variables showed direct effect but not indirect effect. 19. Among the variables effecting health KAP level, education level showed the highest in total effect (TE=.2693) then IEC (TE=.1972), grown-up city (TE=.1237), newspaper reading rate (TE=.1020), distance to government organization (TE=.095) in order. 20. Variables indicating indirect effects to health KAP levels were; at knowledge level with R²=30%, education level (Ind E=.0344), newspaper reading rate (Ind E=.0112), TV possession rate (Ind E=.0689), activity of Ban meeting (Ind E=.0079) in order and at attitude level with R²=13%, education level (Ind E=. 0338), activity of Ban meeting (Ind E=.0079), and at practice level with R²=29%. education level (Ind E=.0268), health facility (Ind E=.0830) and concern on health (Ind E=.0105). 21. Total effect to health KAP levels and IEC by variable characteristics, personal characteristics variables indicated larger than community characteristics variables. 22. Multiple Correlation Coefficient (MCC) expressed by the Personal Characteristic Variable was .5049 and explained approximately 25% of variances. MCC expressed by total Community environment variable was .4283 and explained approx. 18% of variances. MCC expressed by IEC Variables was .4380 and explained approx. 19% of variances. The most important variable effected to health KAP levels was personal characteristic and then IEC variable, Community Environment variable in order. When the IEC effected with personal characteristic or community characteristic, the MCC or the variances were relatively higher than effecting alone. Therefore it was identified that the IEC was one of the important intermediate variable.