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---|---|---|
() | 우선순위가 가장 높은 연산자 | 예1) (나노 (기계 | machine)) |
공백 | 두 개의 검색어(식)을 모두 포함하고 있는 문서 검색 | 예1) (나노 기계) 예2) 나노 장영실 |
| | 두 개의 검색어(식) 중 하나 이상 포함하고 있는 문서 검색 | 예1) (줄기세포 | 면역) 예2) 줄기세포 | 장영실 |
! | NOT 이후에 있는 검색어가 포함된 문서는 제외 | 예1) (황금 !백금) 예2) !image |
* | 검색어의 *란에 0개 이상의 임의의 문자가 포함된 문서 검색 | 예) semi* |
"" | 따옴표 내의 구문과 완전히 일치하는 문서만 검색 | 예) "Transform and Quantization" |
The aims of this study were to find out present situation of self-medication, and to explicate the factors affecting self-medication propensity. To explicate empirically the factors affecting self-medication propensity, a model containing five groups of determining factors such as attitudinal, behavioral, knowled해, and need of health care factors, and demographic factors were developed. Data were collected from 647 residents in Pusan and Kyungnam using the self-administered questionnaire. The major reslts obtained were as follows: First, self-medication was 32% of all utilization of pharmacy. The drugs used for self-medication most commonly were analgesics(16.2%), followed by antacids and stomachics(14.2%), dermatologic preparations(13.1%), tonics and drinks (12.6%). Second, the sources from which people obtained drug information at self-medication were label of the container(50.8%), pharmacist(32.4%), self-decision or lay person(16.8%). The experience of side effect was 10.6% of all self-medication and how people cope with was withdrawal(59.0%), consultation by pharmacist or doctor(35.9%). Third, the results of ANOVA showed a statistically significant relationship between self-medication propensity and 3 demograpic factors, such as sex(p<0.10), age(p<0.10) and job(p<0.05). Forth, the results of multiple regression analysis showed a statistically significant positive relationship betwee self-medication propensity and satisfaction of previous self-medication, knowledge of drug, drug dependency, the frequency of doctor visiting, confidence in drug advertisement, tendency toward self-treatment of the family, and job. And it showed negative relationship between self-medication propensity and confidence in the medical profession, and health behavior. The model explained 29.5% of the variance in self-medication(p<0.001).
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