Purpose: This study was carried out to investigate the difference in job satisfaction and marital satisfaction by gender and to explore the influences of demographic status. employment characteristics. and job satisfaction/marital satisfaction on each type of satisfaction. Method: Social statistics survey data collected by National Statistical Office in 1998 were used for the secondary analysis in the study. Job satisfaction was measured by questionnaires, which consisted of 12 items such as task, promotion, placement, wage, benefits, future in the work, working environment, human relationship. and working hours. And marital satisfaction was collected by questionnaires which consisted of 7 items, including satisfaction with general family life, relationship with their own parent and parent-in-law, relationship with brothers and sisters, relationship with their children, and economic living status. These are measured by 5-point Likert scale. Result: The results show that more than 60% of women were working as part-time employees. Their education levels were lower than men. Men were satisfied significantly more in their jobs than women. Men also had higher marital satisfaction. The employment status had the most important factor on the job satisfaction. and the marital satisfaction was the second important factor among women and men. As for the age, while older men showed higher job satisfaction, younger women showed higher job satisfaction, 28.04% of the variance in the job satisfaction for men and 33.86% for women were accounted for by the following variables: the younger age. the higher education. job satisfaction, and the higher marital satisfaction, 22.15% of the variance in the marital satisfaction for men and 21.19% for women were accounted for by these variables. Conclusion: The results of this study showed that there were differences in job satisfaction and marital satisfaction between genders, and that job satisfaction and marital satisfaction influenced each other. Employment status was the most predictive factor on the job satisfaction. Married women had an unstable employment status such as part-time position. The stability of employment could be considered as a strategy for enhancing job satisfaction for both sexes. The reason that women had lower marital satisfaction than men will have to be further investigated.
Purpose: This study was aimed to examine the effect of employment status upon the subjective health status. Methods: The data of the study were from the 11th Korean Labor Panel Data, obtained by using a face to face interview method. These data were analyzed by ANOVA, t-test and multiple regression using the SPSS program. Results: There was a significant, statistical difference on the subjective health status according to employment status. The subjective health status of non-regular workers was lower than that of the regular workers. The significant predictors of the subjective health status of all subjects were economic status, age, gender, education, marital status, drinking, employment status, and egular work time. The significant predictors of the subjective health status of workers were age, economic status, gender, and education. The significant predictors of the subjective health status of non-regular workers were age, economic status, marital status, gender, education, and regular work time. Conclusion: These results indicate an association between the subjective health status and employment status. The subjective health status may be affected by instability of temporary employment. The additional research to clarify the role of employment instability is recommended. Research on social policy to resolve health inequalities is recommended.
There is a widespread concern that women's increasing involvement in dual role (job plus family role) may harm their physical health. Longevity of women is longer than that of men. By contrast, prevalence rate is higher in women than men, and No. of prevalence days, No. of days in bed and No. of days with treatment are more in women. Generally, women live longer, but women are worse in health status than men. Rate of labor participation in women is increasing gradually in Korea. This study presents an analysis of the relationships between employment. marital status and health for both Korean women and men to examine how women's increasing involvements in dual role affect their physical health. The data used in this analysis were collected by The National Statistical Office in the spring of 1992. Households, which were sampled by using a three-stage stratified cluster sampling method, were interviewed. Response rate was 99.43%. Of these, student or widowed or divorced people were excluded. 47,552 women and men aged 21-50 were available for the analysis. Health status was measured by self-assessed health status (1=excellent, 5=poor), No. of prevalent days, No. of days with treatment, and No. of days in bed in two previous weeks. And control variables are age, and education. Research findings are as follows : 1. Men have better self-rated health, fewer prevalent days, fewer days in bed, and fewer days with treatment than women. 2. The employed are more healthier than the non-employed. 3. Unmarried people are more healthier than married people. 4. Interaction effects of sex, marital status, employment are significant. This finding shows that effects of empolyment, marital status on health status is not same for women and men. 5. For male, employed people are more healthier than non-employed people. Unmarried people are more healthier than married people. This differences are significant. For female, The employed are more healthier than the non-employed. However, no differences are noticed between the married and the unmarried in health status. In conclusion, there is no evidence that women's involvements in dual role affect their physical health negatively.
The purpose of this study was to explore the factors related to depression of married baby-boomer female by employment status. Data for this study was based on a convenience sample of 499 married female baby-boomer who have residence in Busan and Gyeongnam province. The prevalence rate of depression symptoms was 21.4%. The employment status made differences on the factors related to depression of married female baby boomers. Depressive symptoms were significantly associated with attitudes toward menopause, menopausal symptoms and marital satisfaction for both baby-boomer female with and without a job. While monthly household income, participation in voluntary associations and satisfaction with children were significantly related to depression symptoms of baby-boomer female without employment, perimenopausal stage, perceived size of social network was important factors for the depression of married female baby boomers with a job.
Journal of Family Resource Management and Policy Review
/
v.21
no.3
/
pp.77-95
/
2017
The purpose of this study is to examine the factors related to leisure time to understand middle-aged one-person households. Data are from the recent survey of lifetime use in 2014 by Statistics Korea(N=1,138). Middle-aged one-person households aged 40-59 years were categorized into four groups by marital status (unmarried/married/widowed/divorced). Major results were found as follows: First, the total leisure time per day was 238 min in the middle-aged one-person households. The majority of the total leisure time was spent on 'fellowship & leisure activities'(204 min on weekdays, 283 min on weekends). Especially, time spent on real-time TV watching hours was the longest, as long as 89 min on weekday and 150 min on weekends. Second, gender differences were significant in terms of leisure time use in the middle-aged one-person households. Females spent less time on leisure than their male counterparts on both weekdays and weekends. In addition, gender differences related to marital status were significant. Third, on weekdays, the determinants of leisure time use among the middle-aged one-person households were health and type of employment for 'participation & volunteer activities', and gender, age, marital status, and type of employment variables for 'fellowship & leisure activities.' On weekends, time spent on 'participation & volunteer activities' were influenced by marital status, residential area, and type of employment, while time spent on 'fellowship & leisure activities' were significantly related to gender, type of employment, type of job, holiday system, and income.
This study explored the effect of mother's employment status on family environment and physical environment and psychological environment, the main concern of this which factors have effects on marital satisfactions of either employed or non-employed mothers. First, the result of analysis on family environment according to mothers' employment status shows non-employed mother's parental stress is higher than employed mother's. Besides, non-employed mother's self-esteem is lower than employed mother's, and non-employed mother's depression is significantly high. Concerning fathers' factors, the level of conflict between husband and wife is higher among husbands when their wives are employed. In the light of childrens' factors, non-employed mothers consider that their children display more negative emotion and more picky. Children's development of employed mothers is included in normal development range more than that of non-employed mothers. Second, conflict between husbands and wives have an significantly negative effect on marital satisfaction regardless wife's employment status. Husbands' cooperation in child-rearing and marital satisfaction have a positive effect on wives' marital satisfaction. The significant factor which influences on employed mother's marital satisfaction is education level of wives. This study would be meaningful in that infancy home environment was compared focusing on the mothers' employment status, and some factors which factors(variables) have impacts on marital satisfaction of infancy mothers were examined.
The purposes of this study are to investigate marital satisfaction according to demographic characteristic, division of household labor, and awareness of gender discrimination, and to explore influences of demographic and other variables on marital satisfaction. Social statistics survey data which collected in 1998 by ministry of statistics were used for secondary analysis of this study. Marital satisfaction was measured by questionnaire which was consisted in 7 items, including satisfaction with general family life, relationship with their own parent and parent-in-law, relationship with brothers and sisters, relationship with their children, and economic living status. These are measured by 5-point Likert scale. Independent variables are age, education, employment status, having their own house or not, No. of children under school age, parents living or not, perception of sexual discrimination, and division of household labor. The findings of this study show that there are significant differences of marital satisfaction by all independents variables, and all independent variables except employment have significant influences on marital satisfaction. People who are younger, received higher education, have their own house, have more children under schoolage and whose parent are living in the world, show higher marital satisfaction. The more husbands participate to household labor, the better marital satisfaction. In case of perception of sexual discrimination, main effect is not significant, but interaction effect with age is significant. Interaction effect between age and education is also significant. 32.52% of the variance in marital satisfaction were accounted for by these variables.
Purpose: This study examine the relationships retirement plans, perception of successful aging and attitude toward retirement nurses. Methods: The subjects of this study 200 nurses at two hospitals in C City. The data collection period from Nov. 1 to Dec. 31, 2011. Results: The degree of retirement significant according to age, marital status, education level, dependent, duration of employment, shift, department, annual salary. he degree of economic retirement plan showed significant differences according to age, marital status, education level, dependent home, duration of employment, department, annual salary. he degree of physical retirement plan showed statistically significant differences according to age, marital status, dependent, department. The degree of emotional retirement plan showed significant differences according to age, department. Conclusion: mprove the retirement of clinical nurse, we need a systematic based on physical and mental health.
This study identified the rate of income poverty and multidimensional poverty, correlation between income poverty and multidimensional poverty, and adjusted multidimensional poverty rate. We also analyzed the factors that affected the number of poverty dimension and the probability of belonging to the poor or not in 3,159 elderly households including 474 poor households and 2,685 middle class households. First, in poor households, the employment poverty rate was the highest and the housing poverty rate was the lowest. In middle class households, the relation poverty rate was the highest and the employment poverty rate was the lowest. Second, in poor households, correlation between asset poverty and relation poverty had the highest coefficient of .205 and asset poverty and housing poverty had the lowest coefficient of .149. In middle class households, the correlation between income poverty and relation poverty had highest coefficient of -.290 and employment poverty and relation poverty had the lowest coefficient of .038. Third, in poor households, the number of average poverty dimension was 4.30, but the number of average poverty dimensions of middle class households was 2.310. Fourth, the variable affecting the number of poverty dimensions in poor households were gender, age, level of education, marital status; however, the significant variables were gender, education level, marital status, income poverty in the middle class households. The variable that affected the probability of belonging to the poor or not in poor households was age. However, the significant variables were gender, education level, marital status, residence, and income poverty in middle class households.
This study was to investigate the relationships of personal resources, individual psychological variables, and relational characteristics with marital instability of wives who experienced physical and/or psychological abuse from their husbands, and to analyze the relative significance of related variables on marital instability. Self-administered questionnaire method was used to collect data from 500 wives residing in Chonbuk-do province, and data from 306 wives who reported to be psychologically and/or physically abused during last three years were used in the final analyses. Results showed that there were significant differences in the levels of marital instability according to wives' employment status, number of children, and occupational status of husbands. Correlational analyses indicated that wives' economic dependence, all individual psychological variables, and three relational variables were significantly correlated with marital instability of abused wives. Finally, multiple regression analyses showed that marital comparison level and degree of abuse from husband were the most powerful predictors on marital instability, and all these variables accounted for 61% of the total variance of abused wives' marital instability.
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