본 연구는 노년기 부부의 결혼 불안정성에 영향을 미치는 요인을 인구사회학적 특성, 부부갈등 요인, 사회적 지지 요인 등을 통해 탐색하였다. 이러한 연구의 목적을 위해 본 연구는 경기도 소재 12개 노인복지관 및 종합사회복지관을 이용하는 60세 이상의 유배우자 노인을 대상으로 수집된 443부의 면접 설문지를 이용하여 기술통계분석, t-검증, 분산분석, 상관관계 분석, 다중 회귀분석을 시행하였다. 연구결과, 노년기 결혼 불안정성에는 성별, 종교, 자녀수, 만성질환, 경제수준 등의 인구사회학적 요인, 성 및 애정 영역, 의사소통 영역, 폭력 영역의 부부갈등요인, 자녀, 형제자매, 친척의 사회적 지지가 노년기 결혼 불안정성에 통계학적으로 유의한 영향을 미치는 것으로 나타났다. 그러나, 인구사회학적 요인, 부부갈등요인, 사회적 지지요인을 동시에 고려한 다중 회귀 모형에서는 성별, 만성질환 유무 등의 인구사회학적 요인, 성 및 애정영역의 부부갈등요인, 자녀의 사회적 지지 요인만이 노년기 결혼 불안정성에 통계학적으로 유의한 영향을 미치는 것으로 나타났다. 즉, 여성일수록, 질환이 없는 경우, 성 및 애정 영역의 부부갈등이 클수록, 자녀의 사회적 지지가 적을수록 노년기 결혼 불안정성은 증가하는 것으로 나타났다. 이러한 연구의 결과를 바탕으로 본 연구는 노인의 결혼 불안정성을 완화하기 위한 정책적, 실천적 함의를 전달하였다.
본 연구는 노년기 부부의 결혼 불안정성에 영향을 미치는 요인을 인구사회학적 특성, 부부갈등 요인, 사회적 지지 요인 등을 통해 탐색하였다. 이러한 연구의 목적을 위해 본 연구는 경기도 소재 12개 노인복지관 및 종합사회복지관을 이용하는 60세 이상의 유배우자 노인을 대상으로 수집된 443부의 면접 설문지를 이용하여 기술통계분석, t-검증, 분산분석, 상관관계 분석, 다중 회귀분석을 시행하였다. 연구결과, 노년기 결혼 불안정성에는 성별, 종교, 자녀수, 만성질환, 경제수준 등의 인구사회학적 요인, 성 및 애정 영역, 의사소통 영역, 폭력 영역의 부부갈등요인, 자녀, 형제자매, 친척의 사회적 지지가 노년기 결혼 불안정성에 통계학적으로 유의한 영향을 미치는 것으로 나타났다. 그러나, 인구사회학적 요인, 부부갈등요인, 사회적 지지요인을 동시에 고려한 다중 회귀 모형에서는 성별, 만성질환 유무 등의 인구사회학적 요인, 성 및 애정영역의 부부갈등요인, 자녀의 사회적 지지 요인만이 노년기 결혼 불안정성에 통계학적으로 유의한 영향을 미치는 것으로 나타났다. 즉, 여성일수록, 질환이 없는 경우, 성 및 애정 영역의 부부갈등이 클수록, 자녀의 사회적 지지가 적을수록 노년기 결혼 불안정성은 증가하는 것으로 나타났다. 이러한 연구의 결과를 바탕으로 본 연구는 노인의 결혼 불안정성을 완화하기 위한 정책적, 실천적 함의를 전달하였다.
This study aims to explore the factors that affect the marital instability among elderly couples in Korea. It attempted to explore how the socio-demographic characteristics, conflict against spouse and social support affect their level of marital instability. Data on the 443 elderly, who were at the...
This study aims to explore the factors that affect the marital instability among elderly couples in Korea. It attempted to explore how the socio-demographic characteristics, conflict against spouse and social support affect their level of marital instability. Data on the 443 elderly, who were at the age of 60 or over and lived in the Gyeonggi metropolitan areas, were analyzed for this purpose. The level of marital instability was measured by the Marital Instability Index devised by Edward, Johnson, and Booth. Socio-demographic traits were measured by adopting diverse variables such as gender, age, educational level, religion, number of children, length of marriage, type of marriage, living with spouse, living with child, and living with grand child, subjective health status, chronic disease, leisure life, subjective economic status, level of income, and employment status. Conflict against spouse were measured by the Marital Problem Questionnaire, which were composed of 6 subcategories such as conflicts in economy, love, communication, violence, home, and personality and value. Social support was measure by using the Winefield’s Multidimensional Support Scale which were composed frequency of social support, supporter and contents of support. This study conducted descriptive statistics analyses, t-test, ANOVA(analysis of variance) and multivariate regression analyses to explore the determinants of the marital instability among elderly couples in Korea. Although the level of marital instability for the korean elderly couples was varied significantly according to their diverse socio-demographic as well as conflict against spouse and social support, only sex, chronic disease, conflict in love and sexual life were statistically significant predictors to the level of marital instability among the korean elderly couples in the total regression model. Policy and program implications and suggestions were delivered to help the Korean elderly relive their marital instability and enjoy their lives with their spouses.
This study aims to explore the factors that affect the marital instability among elderly couples in Korea. It attempted to explore how the socio-demographic characteristics, conflict against spouse and social support affect their level of marital instability. Data on the 443 elderly, who were at the age of 60 or over and lived in the Gyeonggi metropolitan areas, were analyzed for this purpose. The level of marital instability was measured by the Marital Instability Index devised by Edward, Johnson, and Booth. Socio-demographic traits were measured by adopting diverse variables such as gender, age, educational level, religion, number of children, length of marriage, type of marriage, living with spouse, living with child, and living with grand child, subjective health status, chronic disease, leisure life, subjective economic status, level of income, and employment status. Conflict against spouse were measured by the Marital Problem Questionnaire, which were composed of 6 subcategories such as conflicts in economy, love, communication, violence, home, and personality and value. Social support was measure by using the Winefield’s Multidimensional Support Scale which were composed frequency of social support, supporter and contents of support. This study conducted descriptive statistics analyses, t-test, ANOVA(analysis of variance) and multivariate regression analyses to explore the determinants of the marital instability among elderly couples in Korea. Although the level of marital instability for the korean elderly couples was varied significantly according to their diverse socio-demographic as well as conflict against spouse and social support, only sex, chronic disease, conflict in love and sexual life were statistically significant predictors to the level of marital instability among the korean elderly couples in the total regression model. Policy and program implications and suggestions were delivered to help the Korean elderly relive their marital instability and enjoy their lives with their spouses.
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