Marital Status Differences in Influencing Factors on Depression

2017 ◽  
Vol 19 (1) ◽  
pp. 255-269
Author(s):  
Seongmo Yoo
Keyword(s):  
Marital Status ◽  
Influencing Factors ◽  
Status Differences

scholarly journals PERGESERAN GENDER PADA INTERIOR RUMAH TINGGAL DI KAWASAN JERON BENTENG YOGTAKARTA

2012 ◽  
Vol 2 (2) ◽  
Author(s):  
Martino Dwi Nugroho
Keyword(s):  
Marital Status ◽  
Influencing Factors ◽  
Formal Education ◽  
Social Reality ◽  
Social Activities ◽  
Men And Women ◽  
Equal Status ◽  
Social Concept ◽  
Foreign Culture ◽  
The City

One of the instruments incorporated for the construction of social reality is gender Javanese society traditionally embraces social concept of patriarchy The general Implication is that woman becomes a man s subordinate Broader implementation also can be comprehended fromdissociation of social activities and rituals involving both men and women Viewed fromthespatial perspective there are differences between man space and woman space This is based on the research conducted in Jeron Beteng an area in the city of Yogyakarta The analysis has resulted what follows 1 the sittingroom shows a friction once mastered by man now it turns into equation with indicators equal status ownership custom affection domestic duty execution and sittingroom domination influencing factors modernization attitude and emancipation respect 2 the livingroom also demonstrates a friction once a woman domaintoday it is accessible to man as well influencing factors  communication marital status age work emancipation modernization moral and formal education and foreign culture 3 the kitchen witnesses an equal role for a woman and man regarding domestic duty openness and communication Woman however remains to be more dominant in kitchen although men have access in there influencing factors communications age work emancipation modernization moral and formal educationKeywords : gender interior sitting room livingroom kitchen

scholarly journals Refining Estimates of Marital Status Differences in Mortality at Older Ages

10.3386/t0182 ◽  
1995 ◽  
Author(s):  
Sanders Korenman ◽  
Noreen Goldman ◽  
Haishan Fu
Keyword(s):  
Marital Status ◽  
Status Differences

Unemployment outflows: the relevance of gender and marital status in Italy and Spain

2014 ◽  
Vol 35 (5) ◽  
pp. 594-612 ◽  
Author(s):  
Chiara Mussida ◽  
Enrico Fabrizi
Keyword(s):  
Marital Status ◽  
Design Methodology ◽  
Geographical Area ◽  
International Comparisons ◽  
Panel Survey ◽  
Labour Mobility ◽  
Content Type ◽  
Status Differences ◽  
Shed Light

Purpose – The purpose of this paper is to shed light on transitions from the state of unemployment to that of employment and of inactivity in Italy and Spain. Design/methodology/approach – First, the paper investigates the determinants of unemployment outflows in these two Mediterranean labour markets. Then, the paper examines discrepancies and similarities between specific outflow determinants, especially the interactions between gender and marital status, by comparing results obtained across countries. Findings – The findings of the paper suggest that gender and marital status influence the probability of unemployment outflows in both countries, although not in the same way, especially with reference to marital status. Discrepancies also emerge in relation to the role of geographical area of residence. Originality/value – International comparisons of unemployment outflows are rather new in the literature, and as far as we know none have been performed using European Union Statistics on Income and Living Conditions data. Further, although studies quite often examine the issue of gender-related labour mobility using the European Community Household Panel survey that took place in the 1990s (Arulampalam et al., 2007; Garcia Pérez and Rebollo Sanz, 2005; Theodossiou and Zangelidis, 2009), one of the main contributions of this paper is that it provides a systematic examination of the issue, considering the influence of gender and marital status differences on patterns of unemployment outflows to employment and inactivity.

Explaining Differences in Mental Health Between Married and Cohabiting Individuals

2005 ◽  
Vol 68 (3) ◽  
pp. 239-257 ◽  
Author(s):  
Kristen Marcussen
Keyword(s):  
Mental Health ◽  
Alcohol Use ◽  
Marital Status ◽  
Relationship Quality ◽  
Psychological Theory ◽  
Coping Resources ◽  
Future Research ◽  
Social Psychological ◽  
Health Differences ◽  
Status Differences

Research on the relationship between cohabitation and mental health tends to ignore social psychological factors that help explain mental health differences between the married and the unmarried, including coping resources and perceived relationship quality. In this paper I draw on social psychological theory and research to clarify differences in depression and alcohol use between married and cohabiting individuals. Using data from the National Survey of Families and Households, I examine the independent and combined influences of socioeconomic status, coping resources, and relationship quality to account for marital status differences in distress. I find that marital status differences in coping resources and relationship quality help explain the gap in depression, but not in alcohol use, between married and cohabiting individuals. I also find that social selection is not responsible for marital status differences in distress. The implications of these findings for future research on cohabitors' mental health are discussed.

scholarly journals Comparison of Depressive Symptoms and Its Influencing Factors among the Elderly in Urban and Rural Areas: Evidence from the China Health and Retirement Longitudinal Study (CHARLS)

2021 ◽  
Vol 18 (8) ◽  
pp. 3886
Author(s):  
Haixia Liu ◽  
Xiaojing Fan ◽  
Huanyuan Luo ◽  
Zhongliang Zhou ◽  
Chi Shen ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Marital Status ◽  
Influencing Factors ◽  
Rural Areas ◽  
The Elderly ◽  
Education Level ◽  
Rural Elderly ◽  
Social Activities ◽  
Reported Health ◽  
Urban And Rural Areas

Depression amongst the elderly population is a worldwide public health problem, especially in China. Affected by the urban–rural dual structure, depressive symptoms of the elderly in urban and rural areas are significantly different. In order to compare depressive symptoms and its influencing factors among the elderly in urban and rural areas, we used the data from the fourth wave of the China Health and Retirement Longitudinal Study (CHARLS). A total of 7690 participants at age 60 or older were included in this study. The results showed that there was a significant difference in the prevalence estimate of depression between urban and rural elderly (χ2 = 10.9.76, p < 0.001). The prevalence of depression among rural elderly was significantly higher than that of urban elderly (OR-unadjusted = 1.88, 95% CI: 1.67 to 2.12). After adjusting for gender, age, marital status, education level, minorities, religious belief, self-reported health, duration of sleep, life satisfaction, chronic disease, social activities and having income or not, the prevalence of depression in rural elderly is 1.52 times (OR = 1.52, 95% CI: 1.32 to 1.76) than that of urban elderly. Gender, education level, self-reported health, duration of sleep, chronic diseases were associated with depression in both urban and rural areas. In addition, social activities were connected with depression in urban areas, while minorities, marital status and having income or not were influencing factors of depression among the rural elderly. The interaction analysis showed that the interaction between marital status, social activities and urban and rural sources was statistically significant (divorced: coefficient was 1.567, p < 0.05; social activities: coefficient was 0.340, p < 0.05), while gender, education level, minorities, self-reported health, duration of sleep, life satisfaction, chronic disease, social activities having income or not and urban and rural sources have no interaction (p > 0.05). Thus, it is necessary to propose targeted and precise intervention strategies to prevent depression after accurately identifying the factors’ effects.

scholarly journals An Empirical Study on Physical Sub-Health Risk Perception: Physical Examination Data of Tertiary Grade-A Hospitals in Anhui Province, China

2021 ◽  
Author(s):  
Xueli Jiang ◽  
Liping Zhang ◽  
Yufei Gao ◽  
Chengsen He ◽  
Zhiru Tang ◽  
...  
Keyword(s):  
Risk Perception ◽  
Health Risk ◽  
Marital Status ◽  
Influencing Factors ◽  
Household Income ◽  
Demographic Variables ◽  
Moderating Effect ◽  
Annual Household Income ◽  
Number Of Children ◽  
Health Risk Perception

Abstract Background: Physical sub-health is directly related to people's work effectiveness and quality of life. Sub-health prevention has become an urgent medical problem. Current research on sub-health mainly focuses on the diagnosis, influencing factors and treatment. Based on the proposed physical sub-health risk perception scale, we explore the differences in the demographic factors and the mechanism of risk perception level on physical sub-health to provide data support for the management of public physical sub-health.Methods: Clinical and risk perception data were collected from 770 physical examinees, which were analyzed using SPSS 23.0, R, and Python software. Pearson correlation coefficient was used to investigate the correlation and multiple stepwise regression analysis was used to explore the influence of demographic variables on physical sub-health and risk perception. Also, this study used a two-way interaction moderated multiple regression approach to examine the moderating effects of demographic variables on physical sub-health and risk perception.Results: Attribute of living place, sub-health duration, marital status, average annual household income, risk perception level were negatively associated with physical sub-health (r= -0.07 ~ -0.17, P < 0.05). The risk perception level was positively correlated with education, attribute of living place,average annual household income, sub-health duration, number of employees in the unit and sub-health proportion in the unit (r= 0.09 ~0.26, P＜0.05), but negatively correlated with age (r= -0.11, P＜0.05). The number of children had a moderating effect on physical sub-health and risk perception (Interaction coefficient α= -0.3, P＜0.05).Conclusions: The factors directly affecting the physical sub-health included age, education, attribute of living place,sub-health duration and sub-health proportion in the unit, while the risk perception level, marital status and average annual household income were found to be indirect influencing factors. The number of children had a moderating effect on physical sub-health and risk perception. Therefore, we suggest attaching importance to public physical exercise and health checkups, correctly guiding public risk perception, and spreading the national policy of bearing and rearing better children etc. to promote the development of public physical health in China.

scholarly journals The Study and Investigation for the Ideals of New Generation Migrant Workers

2018 ◽  
Vol 2 (3) ◽  
pp. 76
Author(s):  
Xiaowen Li ◽  
Liyi Jia
Keyword(s):  
Statistical Analysis ◽  
Marital Status ◽  
Influencing Factors ◽  
Migrant Workers ◽  
Middle Level ◽  
New Generation ◽  
Generation Migrant ◽  
The Ideal

 (1) Objective: The study is to understand the overall situation of the ideas of new generation migrant workers and its influencing factors, so as to provide basis for the formulation of relevant countermeasures. (2) Methods: The article uses a self-made questionnaire for 613 new generation migrant workers to conduct a questionnaire investigation and statistical analysis of the results. (3) Results: The scores of the new generation migrant workers’ ideals from the highest to the lowest are life ideal, occupation ideal, physical ideal, development ideal and material ideal and the ideals have differences in gender, age, marital status and family residence. (4) Conclusion: The ideal levels are different and basically in the upper middle level.

Sign in / Sign up

Export Citation Format

Share Document