123 research outputs found
Influence of family function and burden on quality of life among primary caregivers of patients with a stroke
ê°íží곌/ìì¬ë³ž ì°êµ¬ë ëì¡žì€íì 죌볎ížìì ê°ì¡±êž°ë¥, ë¶ëŽê°ìŽ ì¶ì ì§ì 믞ì¹ë ìí¥ì íì
íêž° ìí ìì ì ì¡°ì¬ì°êµ¬ìŽë€. ì°êµ¬ëìì ê°ìëì ìì¬í 4ê° ì¢
í©ë³ì곌 3ê° ì¬íë³ì, 충ì²ë¶ëì ìì¬í 1ê° ì¢
í©ë³ììì ëì¡žì€ì ì§ëšë°ê³ ì
ì ì¹ë£ì€ìž íìì ê°ì¡±êµ¬ì±ì ì€ ì ì êž°ì€ì íŽë¹ëë ìŽ 125ëª
ìŽìë€. ìë£ìì§ êž°ê°ì 2012ë
4ì 1ìŒë¶í° 5ì 8ìŒê¹ì§ììŒë©°, ëì¡žì€íì 죌볎ížìì ê°ì¡±êž°ë¥ì McMaster Family Assessment Device(FAD)륌 ì ì겜(1993)ìŽ ìì í ê°ì¡±êž°ë¥ ë구ë¡, ë¶ëŽê°ì ê¹ìì 곌 ë
žìì(2005)ìŽ ê°ë°í ë¶ëŽê° ë구륌 ê¹ì¥í(2009)ê° ìì í ë구ë¡, ì¶ì ì§ì íêµí ìžê³ë³Žê±Žêž°êµ¬ ì¶ì ì§ ê°íží ì²ë(World Health Organization Quality of Life Assessment Instrument-BREF, ìŽí WHOQOL-BREF)륌 믌ì±êžž ë±(2000)ìŽ íì€íí WHOQOLì ëšì¶í ë구륌 ìŽì©íì¬ ìž¡ì íìë€. ìë£ë¶ìì SPSS WIN 18.0 íë¡ê·žëšì ìŽì©íì¬ êž°ì íµê³, t-test, ANOVA, Pearson correlation coefficient, Multiple regression(Enter ë°©ì)ì ìŽì©íì¬ ë¶ìíìë€. 볞 ì°êµ¬ì 죌ì 결곌륌 ììœíë©Ž ë€ì곌 ê°ë€. 1) ëì¡žì€íì 죌볎ížìì ê°ì¡±êž°ë¥ íê· ì ìë 4ì ë§ì êž°ì€ 2.79ì ìŽìê³ , ë¶ëŽê° íê· ì ìë 5ì ë§ì êž°ì€ 3.41ì ìŽììŒë©°, ì¶ì ì§ì íê· ì ìë 5ì ë§ì êž°ì€ 2.81ì ìŽìë€. 2) ëì¡žì€íì í¹ì±ì ë°ë¥ž 죌볎ížìì ì¶ì ì§ ì°šìŽ ëë êŽê³ììë ì ìí ë³ìê° ìììŒë©°, ëì¡žì€íì 죌볎ížì í¹ì±ì ë°ë¥ž ì¶ì ì§ ì°šìŽ ëë êŽê³ììë 죌볎ížìì ì°ë ¹(r=-.41, p=<.001)ìŽ ë®ììë¡ ì¶ì ì§ì ëìê³ , ê·ž ìžì êµì¡ì ë(t=-4.34, p=<.001), ì§ì
ì 묎(t=3.31 p=.001), 겜ì ìí(F=15.00, p=<.001), íììì êŽê³(F=6.48, p=.002)ì ë°ëŒ ì¶ì ì§ì ì°šìŽê° ììë€. 3) ëì¡žì€íì 죌볎ížìì ê°ì¡±êž°ë¥, ë¶ëŽê°, ì¶ì ì§ ê°ì ìêŽêŽê³ë¥Œ ë¶ìí 결곌, ê°ì¡±êž°ë¥ê³Œ ë¶ëŽê° ê°ì êŽê³ë ìì ìêŽêŽê³(r=-.60 p<.001)륌 볎ìê³ ê°ì¡±êž°ë¥ê³Œ ì¶ì ì§ì ìì ìêŽêŽê³(r=.63 p<.001)륌 볎ìë€. ê·žëŠ¬ê³ ë¶ëŽê°ê³Œ ì¶ì ì§ ê°ì êŽê³ë ìì ìêŽêŽê³(r=-.61 p<.001)륌 볎ìë€. 4) ëì¡žì€íìì 죌볎ížìì ì¶ì ì§ì ìí¥ì 믞ì¹ë ììžì ëì¡žì€íì ì°ë ¹, 죌볎ížì ì°ë ¹, íììì êŽê³, 겜ì ìí, ê°ì¡±êž°ë¥, ë¶ëŽê°ìŽìë€. ìŽ ë³ìë€ì ì€ëª
ë ¥(Adjusted R2)ì 58.1%ìê³ , 몚íì íµê³ì ìŒë¡ ì ìíìë€. 볞 ì°êµ¬ 결곌 ëì¡žì€íì 죌볎ížìì ê°ì¡±êž°ë¥ìŽ ëììë¡ ì¶ì ì§ìŽ ìŠê°íìê³ ë¶ëŽê°ìŽ ëììë¡ ì¶ì ì§ì ê°ìíë ê²ìŒë¡ íìžëìë€. ëí ëì¡žì€íì 죌볎ížìì ê°ì¡±êž°ë¥ê³Œ ë¶ëŽê°ì ì¶ì ì§ì ìí¥ì 믞ì¹ë 죌ì ììžìŒë¡ì í¹í, 죌볎ížìê° ì§ê°í ê°ì¡±êž°ë¥ìŽ ì¶ì ì§ì ìí¥ì 믞ì¹ë ììžìŒë¡ íìžëìë€. 볞 ì°êµ¬ê²°ê³Œì 귌거íì¬ ëì¡žì€íì 죌볎ížìì ì¶ì ì§ í¥ìì ìíì¬ ê°ì¡±êŽê³ë ìì¬ìíµ, 묞ì íŽê²°ë¥ë ¥ ë± ê°ì¡±êž°ë¥ì ëìŒ ì ìë ì ëµì ë§ë šíê³ íì ëëŽíì륌 íµíŽ 죌볎ížìê° ëëŒë ë¶ëŽê°ì ê°ììí¬ ì ìë ê°ížì€ì¬ ì ëµ ë§ë šìŽ íìíë€ê³ ìê°íë€.restrictio
Study of the factors affecting the hospital admissions due to accidents
ê°íží곌/ìì¬[íêž]
묞ëª
ì ë°ë¬ê³Œ íšê» ì ì°š ì¬ê³ ì ë°ìë¥ ì ìŠê°íê³ ììŒë©° ì°ëŠ¬ ëëŒ ì 첎 3ë ì¬ë§ ììžì 볎멎, ì-ëíêŽ ì§í-ë¶ìì ì¬ê³ ìŽê³ ëšìë§ì ê²œì° ë¶ìì ì¬ê³ ê° 2ì륌 ì°šì§íê³ ìë€ ì°ë ¹ë³ 3ë ì¬ë§ ììžì 볎멎 1-39ìžê¹ì§ì ì°ë ¹ìì 1ìê° ë¶ìì ì¬ê³ ë¡ ë³Žê³ ë ê²ìŒë¡ 볎ì 20ë ìŽë°ì ëšì±ë€ìŽ ì§ëšì ìŒë¡ ëªšì¬ ìë è»ììë ë¹ì°í ì¬ê³ ê° ë§ì ê²ìŒë¡ ìê°ëë©° ì€ì ë¡ ê·ž ë¹ìšë 93ë
ë ìë¬Žì¬ íµê³ì ìíë©Ž ìêžì€ ì
ì íìì ìœ 35%륌 ì°šì§íìë€. ìŽì êµ°ìžë€ì ì¬ê³ ì
ìììžì ìí ììž ì ë³ì ìíŽ íì-ëì¡°êµ° ì°êµ¬ë¥Œ ìííìë€. íìêµ°ì 93ë
ë íµê³ì ìíì¬ ìêž íìê° ë§ìë ì§ìì ë³ì 3ê³³ì ì ì , ì¬ê³ ì
ì íì ì ìì€ ëìì ìí ì¬ë 255ëª
곌 ë³ììŽ ìì¹í ê³³ì ìžê·Œ ë¶ë 2ê³³ì ì ì íì¬ 1:2ë¡ ì§ì§ì 520ëª
ìŒë¡ íìë€. ê³êžë³ ì¬ê³ ë°ì ì°šìŽë¥Œ íµì íêž° ìíì¬ ì°êµ¬ ëììì ê³êžì ì¬ë³ë§ìŒë¡ íìë€. ìë£ ìì§ êž°ê°ì 1994ë
10ì
6ìŒë¶í° 25ìŒê¹ì§ììŒë©°, ìë£ ë¶ììë spss/pc+륌 ìŽì©íìë€. ì¬ê³ ì
ìì ììž¡í 몚íì ë€ìŽê° ë³ì ì ì ì ìíŽìë x**2 -ê²ì ì íìê³ , ìí ììž ì ì ì ìí ë¹ì°š ë¹(odds ratio)ì ê³ì°ì ìíŽìë ë€ë³ì ë¡ì§ì€í± í¬ê·(multiple logistic regression)ë¶
ìì ìŽì©íìë€.
ì°êµ¬ 결곌ë ìëì ê°ë€.
1. ì¬ê³ ì
ì곌 êŽë š ìë ê° í¹ì±ì ë³ìë ê³êž, íë ¥, 죌 ì±ì¥ì§, í¡ì° ì ë ë¶ëªšìì ëê±° ì¬ë¶, ì겜 ì°©ì© ì¬ë¶, ìë¬Žì€ ì¬ì©ì ì©ìŽì±, ìë¬Žì€ ë°©ë¬ž 겜í, íìì ì€ë¹ìŽë ì¬ë¶, ì¬ê³ ììžì ëí ìžì, ë¶ëìì íë ìŽë겜Ʞì ëí 겜ìì ìž ìžì, ìì êµì¡ ëŽì©ì ë¶ì¶©ë¶íš, ë³ê³Œ íì¬ê°ì ê°ë±ìŽìë€.
2. ë€ë³ì ë¡ì§ì€í± íê· ë¶ì 결곌, è» ë³ìì ì¬ê³ ì
ì ìí ììžì ë¶ëìì íë ìŽë겜Ʞì ëí 곌ë€í 겜ìì ìž ìžì곌 ì€ë¹ìŽë ì¬ë¶, ë³ê³Œ íì¬ê°ì ê°ë±ìŽììŒë©°, ë¹ì°š ë¹(odds ratio)ë ê°ê° 3.24, 2.06, 2.22 ìë€. ìŽê²ì ì¬ê³ ì
ìë°ììŽ ìŽë 겜Ʞ
ì ëíŽ ì§ëì¹ ê²œìì ìžìíë ì¬ëìŽ ì§ëì¹ ê²œììŒë¡ ìžìíì§ ìë ì¬ëë³Žë€ 3.24ë°°, ì€ë¹ ìŽëì íì§ ìë ì¬ëìŽ ì€ë¹ ìŽëì íë ì¬ëë³Žë€ 2.06ë°°, ë³ê³Œ íì¬ê°ì ê°ë±ìŽ ìë ì¬ëìŽ ìë ì¬ëë³Žë€ 2.22ë°° ëë€ë ê²ì ì믞íë ê²ìŽë€.
[ì묞]
This survey type study was designed to explore 1) the difference in general factors, health-related factors, safety-related factors and military life factors in the army between patients admitted ? the hospital due to accident injuries and unadmitted enlisted men ; 2) the reason for accident related admissions ; 3) the variables affecting these admissions
Two hundred and fifty military patients from three general hospitals and five hundred military men from two army units participated in the study.
Two separate questionnaires were used to collect data from these two groups during October, 1993. Statistically significant variables were screened by Chi-square test, and the variables were entered into the multiple logistic model to calculate the odds ratios for risk factors.
The results were as follows :
1) comparing the two groups there were differences in rank, schooling, main place of growing up, parenting type, use of glasses, previous use of medical facilities, pre-exercise practice, cause of accidents, excessive recreational competition,
insufficient education about safety, conflicts between men and non -commissioned officers.
2) The three main causes of injuries leading to admission were play, work, and military training, respectively.
3) Variables affecting admissions for accidents were pre-exercise practice; excessive competition in recreational games during military service, conflicts between men and non-commissioned officers. The odds ratio of risk factor to accident was 3.24, 2.06, 2.22, respectively.prohibitio
Study on Serum Cholesterol Contents
It has been suggested that serum Cholesterol
contents be influential to the degenerative diseases
particularly blood tension. Authors measured serum
Cholesterol contents using Carr-Drekter method and
blood tension by Riva-Rocci method for healthy 139
person (male 79. female 60) and hypertensive 109
person (male 55, female 54) over 55-and under 60
year of age. And the results were as following;
1. The value of serum Cholesterol contents of
healthy people were 161 mg/100 ml in male, 196
mg/100 ml in female.
2. The difference of the value of serum Cholesterol
contents between male and female in healthy
showed non-significant (P >0.3) but that in hypertensive
significant.tP <0.05).
3. The difference of the value of serum Cholesterol
contents between healthy and hypertensive as
whole showed significant highly.(P <0.0l).
4. The co-relation between systolic value and Cholesterol
contents was recognizable considerably
(r=0.35) and it showed pretty high correlation in
diastolic.(r=O.54
Studies on Carbon Monoxide Hazards Part II: An investigation of carbonmonoxide pollution and poisoning under various environments.
This investigation was undertaken to find .out the
degree of the CO pollution in various environments in
relation to various environmental factors concerned.
As the objects of the survey. 440 places in SundongGu
area including the private living room. restaurant.
barber shop. beauty shop. tea-room. laundry etc .. were
selected by a random sampling. The measurement of
the blood Hb-CO of the subject exposed to the COpolluted
air was made for 96 persons.
The results are as follows.
1. The private living room showed pretty high
degree of CO pollution. The pollution rate was 27.9%
in the low-grade home group and 42.0% in the poorest
home group.
2. The highest degree of the CO pollution was found
in the kitchen of the Korean wine house. It showed
average 231. 2 ppm and the next was the kitchen of
the restaurant where average 173.0 ppm was detected.
The degree of the CO pollution was almost nearly
100% where the briquette was openly burned.
3. The environmental conditions of the living room
such as paper-coating status of the wall and floor.
chimney. and the structure of the room were much
more related the degree of the CO pollution. The open
uses of the briquette and poor air conditioning system
were the main causes of the CO pollution in otherenvironments.
4. Blood Hb-CO concentration of the subjects expo
sed to CO-polluted environments were measured by
the method estimating blood Hb-CO by breath-air
analysis. The results showed maximum 12.5% HbCO
and the minimum 5% HbCO. Many subjects exposed
to high degree of the CO pollution complained persisting
headache. atonia and gastro-intestinal troubles
Studies on Carbon Monoxide Hazards. Part I : Experimental estimation of carboxyhemoglobin by the analysis of expiration air
The deleterious effects of carbon monoxide on the
human body have long been known. Recently increasing
incidences of carbon monoxide poisoning since
the wide-spread uses of the briquette have been a
serious problems on the view point of the public
health in this country. The necessity of the devolopment
of a rapid, accurate method of screening human
subjeects for possible carbon monoxide poisoning
cann't too overevaluted. The author undertook the
confirmative experiment on the method of estimating
bloodHb-CO contents by expired air analysis and
discussed the appilcability of this method for the large
scale survey work.
For the CO analysis of expired air the carbon monoxide
detecting tube (made in Korea) was used. 12
subjects were asked to breathe a mixture of CO to
build up a measurable CO concentration. Consumption
of the gas mixture (approximately 400 ppm) ranged
from 95 to 100 liters. The collection of the expired
air was made by such a way in which each subject
was asked to hold his inhaled breath for 15 seconds
before inflating the soft rubber balloon. Then the
open end of the CO indicating tube inserted into the
rubber stopper attached to syringe which drawed 5
Predicitng factors corresponding to the stage of adoption for mammography based on transtheoretical model
ê°íží곌/ë°ì¬[íêž]
ì ë°©ìì ì¬ì±ì ì€ìì ìê¶ì(12.1%), ìì(16.1%), ë€ììŒë¡ ëì ë°ììš(11.9%)ì 볎ììŒë(볎걎복ì§ë¶, 1997), 2002ë
ì íµê³ì ìíë©Ž ì¬ì±ì ì€ ì ë°©ììŽ 1ì륌 ì°šì§íì¬ ìžêµ¬ 10ë§ ëª
ë¹ 25ëª
ìŒë¡ ëì ë°ììšì 볎ìŽê³ ìë€. ì¶ì ìììŽ êžê²©í ë³ííê³ ììíë ìì묌 ìì·š, ížë¥Žëª¬êŽë š ìì(ìŽë¥ž ìŽê²œ, ëŠì í겜, ìììŽ ìê±°ë ëŠê² ë³ë 겜ì°, ížë¥Žëª¬ ë첎ìë²), ì ì ì ìž ììž ë±ìŽ ì ë°©ì ë°ì ìíìžìë¡ ì§ì ëê³ ìì§ë§, ë€ë¥ž ìë€ì²ëŒ ê·ž ììžìŽë ê²°ì ì ìž ì¹ë£ë°©ë²ìŽ ëª
ííê² ë°íì§ì§ ìê³ ììŽ ë°ìì첎륌 ë°©ì§íêž° ìí ìŒì°š ìë°©ë³Žë€ íì¬ë¡ìë ì ë°©ìì ì¡°êž°ì ë°ê²¬íê³ ì ì í ìêž°ì ì¹ë£ë°ì ì ìê² íì¬ ìì¡Žìšì ëìŽë ìŽì°š ìë°©ì ì€ì ì ëê³ ì¡°êž°ê²ì§ íì륌 ìŠì§ììŒìŒ íë€.
볞 ì°êµ¬ë ì ë°©ì ì¡°êž° ë°ê²¬ì ìíì¬ ì ë°©ì¬ì§ìŽ¬ì íì륌 ìŠì§ìí€ê³ ì ì§ìì¬í ì¬ì±ì ëììŒë¡ ë²ìŽë¡ ì 몚í(Transtheoretical Model)ì 귌거íì¬ ì ë°©ì¬ì§ìŽ¬ì íìì ë³í ëšê³ë³ ììž¡ ììžì ê·ëª
íê³ ì ìëë ìì ì ì¡°ì¬ì°êµ¬ìŽë€.
2003ë
3ì 15ìŒë¶í° 5ì 18ìŒê¹ì§ ìë£ ìì§ìŽ ìŽë£šìŽì¡ìŒë©°, ì°êµ¬ ëììë ì§ìì¬í ì¬ì±ì íì 몚ì§ëšìŒë¡ ììžì ë¹ë¡¯í ìžì², ë¶ì°, ë구, ëì , êŽì£Œì 5ê°ì êŽììì 거죌íë ì¬ì±ì ê·Œì 몚ì§ëšìŒë¡ ížì ì¶ì¶ì ìíì¬ 30ìž ìŽìì ì¬ì± 1,145 ëª
ìŽìë€.
ì°êµ¬ ë구ë ë³íëšê³ ëêµ¬ë¡ Rakowski(1998) ê° ì¬ì©í 1ê° ë¬žíìŒë¡ ê³íì ëšê³, ê³íëšê³, íŽë³Žëšê³, íëëšê³, ì ì§ëšê³ì ëšê³ë³ ëŽì©ì êž°ì íì¬ íëì ëšê³ë§ ì ííëë¡ íììŒë©°, ë³í곌ì ë° ìì¬ê²°ì ê· íë구ë Rakowski ë±(1996)ìŽ ì ë°©ì¬ì§ìŽ¬ìì ì ì©í ë구륌 ì°ëŠ¬ë§ ë²ì 곌ì (ë²ì-ìë²ì)ì ê±°ì³ ì ë¬žê° íë¹ë ë° ìŽí ìì ì ì€ìí í ì¬ì ì¡°ì¬ë¥Œ ì€ìí ë€ ì¬ì©íìë€. ìì§ë ìë£ë SPSSW 11.0 ì ìŽì©íì¬ êž°ì ì íµê³, X2-test, ë¶ì°ë¶ì, DUNCAN ê²ì , íë³ë¶ìì ìŽì©íììŒë©° ì°êµ¬ 결곌ë ë€ì곌 ê°ë€.
1. ëììì ì°ë ¹ ë¶í¬ë 30ìžìì 70ìžê¹ì§ì ì¬ì± 1,145ëª
ìŒë¡ íê· ì°ë ¹ì 44.88ìž(SD=6.89)ìë€. ë³í ëšê³ë³ ì ìí ì°šìŽë¥Œ ëíëž ë³ìë ì°ë ¹, ì¢
êµ.íë ¥, 겜ì ìí ë±ìŽìë€. 40-50ëì ì€ë
ìžµì ì¬ì±ë€ìŽ ì ë°©ì¬ì§ìŽ¬ì íì륌 ìíë©°, 60ìž ìŽìì ì¬ì±ë€ìŽ ì€ê°ì í¬êž°íë 겜ì°ê° ë§ì ê²ìŒë¡ ëíë¬ìŒë©°, ì¢
êµë¥Œ ê°ì§ ì¬ì±ë€ìŽ ì ë°©ì¬ì§ìŽ¬ì íì륌 ë ìíë ê²ìŒë¡ ëíë¬ìŒë©°, íë ¥ìŽ ëììë¡ ì ë°©ì¬ì§ìŽ¬ì íì륌 ìíë©°, íë ¥ìŽ ë®ì ì¬ëìŽ ì€ê°ì í¬êž°íë 겜ì°ê° ë§ìë€. 겜ì ìíê° ëë€ê³ ìžìíë ì¬ëë€ìŽ ì ë°©ì¬ì§ìŽ¬ìì ìíë©° ë®ë€ê³ ìžìíë ì¬ì±ë€ìŽ ìííì§ ìë ê²ìŒë¡ ëíë¬ë€.
죌ë³ì ì ë°©ì 걞늰 ì¬ëìŽ ìë ì¬ì±ë€ìŽ ì ë°©ì¬ì§ìŽ¬ì íì륌 ë ìíë ê²ìŒë¡ ëíë¬ìŒë©°, 걎ê°ë¬žì 륌 ìëŽí ìë£íìŽ ìë ì¬ëìŽ ì ë°©ì¬ì§ìŽ¬ì íì륌 ë ì ìí, ì§ìíë ê²ìŒë¡ ëíë¬ë€. ëí ì¬ì ì ì ë°©ì¬ì§ìŽ¬ì íìì ëíŽ êµì¡ì ë°ì ì¬ì±ë€ìŽ ì ë°©ì¬ì§ìŽ¬ì íì륌 ë ì ìííë ê²ìŒë¡ ëíë¬ë€.
2. ë³íëšê³ë ê³íì ëšê³ê° 315ëª
(29.1%), ê³íëšê³ê° 227ëª
(21.0%), íŽë³Žëšê³ê° 263ëª
(21.8%), íëëšê³ê° 166ëª
(15.3%), ê·žëŠ¬ê³ ì ì§ëšê³ê° 138ëª
(12.8%)ì ëíëë€.
3. ì ë°©ì¬ì§ìŽ¬ì íì ë³íëšê³ë³ë¡ ì¬ì©íë ë³í곌ì ì 몚ë ë³í ëšê³ìì âìë£êž°êŽì ëí ìžìâìŽ ê°ì¥ ëê² ì¬ì©ëìë€. ê³í ì ëšê³ììë 몚ë ë³í 곌ì ìŽ ê°ì¥ ë®ê² ì¬ì©ëìê³ , ê³íëšê³ììë ''ê²ì§ì ëí ì±
ììì''ìŽ ê°ì¥ ë®ê² ì¬ì©ëììŒë©°, ''ê²ì§ì ëí ì±
ììì'', ''ì 볎공ì ì ìíµ''ìŽ íê· ì ìë³Žë€ ë§ìŽ ì¬ì©ëìë€. íŽë³Žëšê³ììë âê²ì§ì ëí ì±
ì ììâìŽ ê°ì¥ ë®ê² ì¬ì©ëìê³ ìë£êž°êŽì ëí ìžììŽ íê· ì ìë³Žë€ ëê² ì¬ì©ëìë€. íëëšê³ììë ë€ê°ì§ 곌ì 몚ë íê· ì ìë³Žë€ ëê² ì¬ì©ëììŒë©° âê²ì§ì ëí ì±
ìììâìŽ ê°ì¥ ë®ê² ì¬ì©ëìë€. ì ì§ëšê³ììë ì§ì§êŽê³ê° ê°ì¥ ë®ê² ì¬ì©ëìë€.
4. ìì¬ê²°ì ê· íìì ìŽëì ììž(PROS) ì ìë ì ì§ëšê³ìì ê°ì¥ ëìê³ íëëšê³, ê³íëšê³, íŽë³Žëšê³, ê³íì ëšê³ ììŒë¡ ëíë¬ë€. ë°ë©Žì ì¥ì ì ììž(CONS) ì ìë ê³íì ëšê³ìì ê°ì¥ ëìê³ ê³íëšê³, íŽë³Žëšê³, íëëšê³, ì ì§ëšê³ ììŒë¡ ëíë¬ë€. ë°ëŒì ìŽëì ììžì ëšê³ê° ì§íëë©Žì ꟞ì€í ìŠê°íë€ê° íŽë³Žëšê³ìì ìœê° ê°ìíë€ê° ë€ì ìŠê°íì¬ ì ì§ëšê³ìì ìµê³ ì ì ìŽë£šê³ , ì¥ì ì ììžì ëšê³ê° ì§íëë©Žì ꟞ì€í ê°ìíë ê²ìŒë¡ ëíë¬ë€.
5. ì ë°©ì¬ì§ìŽ¬ì ë³íëšê³ë³ ììž¡ ììžìŒë¡ ê³íì ëšê³ìì ê³íëšê³ë¡ì ì§íìë ê²ì§ì ëí ì±
ììì곌 ì¥ì ì ììžìŽ 죌ì ë³ìë¡ ìì©íë©° ê·ž ì€ ê²ì§ì ëí ì±
ììììŽ ë 죌ì ë³ìë¡ ìì©íìë€. ê³íëšê³ìì íŽë³Žëšê³ë¡ì ì§íìë ì§ì§êŽê³ ë³ìê° ì€ìíê² ìì©íììŒë©°, íŽë³Žëšê³ìì íëëšê³ë¡ì ì§íìë ê²ì§ì ëí ì±
ì ìì곌 ì¥ì ì ììžìŽ ì€ìíê² ìì©íììŒë©°, ê·ž ì€ ê²ì§ì ëí ì±
ììì ë³ìê° ë ì€ìíê² ìì©íìë€. íëëšê³ìì ì ì§ëšê³ë¡ì ì§íìë ê²ì§ì ëí ì±
ììì곌 ì¥ì ì ììžìŽ 죌ì ë³ìë¡ ìì©íììŒë©° ê·ž ì€ ì¥ì ì ììž ë³ìê° ë ì€ìíê² ìì©íìë€.
[ì묞]
The purpose of this study were to identify the predicting factors corresponding to the stage of adoption for Mammography of Korean women basde on Transtheoretical Model.
A descriptive design was used for this study and data collecting is carried out from March 15 to May 18 in 2003. A convenient sample of 1,145 women ages 30-70 were selected from 6 metropolitan areas(Seoul, Inchon, Daejeon, Daegu, Pusan, kwangju) of Korea. Data was collected using Rakowski et al''s(1996) process of change and decisional balance scale to measure the process of change and decisional balance regarding a women''s adoption of mammography screening and to assess the women''s current stages of adoption for mammography. The data was analyzed by the SPSSW Program(ver. 11.0).
The results were as follows;
1. The classification of women according to the stage of adoption of mammography was 29.1% in precontemplation, 21.0% in contemplation, 21.8% in relapse, 15.3% in action, 12.8% in maintenance.
2. Among the four processes of change which are significant in explaining the differences between stages, DUNCAN post-comparison showed that the subjects in precontemplation stage used all processes of change in the least. In the contemplation stage, ''Commitment to Screening'' is used in the least but use of ''Commitment to Screening'', Information Sharing and Communication'' were higher than average . ''Perception of Health Care System'' was used higher than average in the relapse stage. All four processes were used higher than average in action stage but ''Commitment to Screening'' was used in the least among them. In the maintenance stage, ''Thinking Beyond Myself'' was used in the least.
3. The mean difference of PROS , CONS of decisional balance by the stage of mammography adoption were statistically significant. PROS score of decisional balance was the highest in maintenance stage, CONS score was the highest pre-contemplation stage.
4. Through the discriminant analysis, predicting factors of the stage of adoption for mammography were found that ''commitment to screening'' was the more influencing factor than others to discriminate the stage between precontemplation and contemplation, between relapse and action. The process of ''Thinking beyond myself'' was the influencing factor to discriminate the stage between contemplation and relapse. The variable of CONS the most influencing factor to discriminate the stage between action and maintenance.
In conclusion, this results are consistent with applications of the Transtheoretical model which have been used to understand how people change health behaviors. So this study have implications for women''s health education and health intervention strategies and useful information for nursing educators.ope
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