scholarly journals Income Inequality and Self-Rated Health Status: Evidence From the European Community Household Panel

Demography ◽  
2009 ◽  
Vol 46 (4) ◽  
pp. 805-825 ◽  
Author(s):  
Vincent Hildebrand ◽  
Philippe Van Kerm
Keyword(s):  
Health Status ◽  
Income Inequality ◽  
European Community ◽  
Self Rated Health ◽  
European Community Household Panel

Do Economic Inequalities Harm Health? Evidence from Europe

2012 ◽  
Author(s):  
Jean-Michel Etienne ◽  
Ali Skalli ◽  
Ioannis Theodossiou
Keyword(s):  
Health Status ◽  
Income Inequality ◽  
European Community ◽  
Fixed Effects ◽  
Objective Measures ◽  
Reference Groups ◽  
Self Assessment ◽  
Random Effects Models ◽  
Inequality Measures ◽  
Country Level

Using the European Community Household Panel (1994-2001), random effects models are estimated to assess the effect of income inequality on individuals' health. The individual's health status is measured by self assessment responses and by relatively objective measures of health. Country-level inequality measures are used after controlling for regional fixed effects. This implies that country level factors are the relevant approximations of individuals' reference groups. The results suggest that income inequality harms not only the health of the least well off but also the health of all individuals regardless of their position in the income distribution.

scholarly journals Components of Gini, Bonferroni, and Zenga Inequality Indexes for EU Income Data

2018 ◽  
Vol 34 (1) ◽  
pp. 149-180 ◽  
Author(s):  
Leo Pasquazzi ◽  
Michele Zenga
Keyword(s):  
Income Inequality ◽  
European Community ◽  
Panel Survey ◽  
New Approach ◽  
Easy Task ◽  
Weighted Averages ◽  
Inequality Measures ◽  
European Community Household Panel ◽  
Income Data ◽  
Inequality Indexes

Abstract In this work we apply a new approach to assess contributions from factor components to income inequality. The new approach is based on the insight that most (synthetic) inequality indexes may be viewed as (weighted) averages of point inequality measures, which measure inequality between population subgroups identified by income. Assessing contributions of factor components to point inequality measures is usually an easy task, and based on these contributions it is straightforward to define contributions to the corresponding (synthetic) overall inequality indexes as well. As we shall show through an analysis of income data from Eurostat’s European Community Household Panel Survey (ECHP), the approach based on point inequality measures gives rise to readily interpretable results, which, we believe, is an advantage over other methods that have been proposed in literature.

scholarly journals Working conditions and health status of 6,317 front line public health workers across five provinces in China during the COVID-19 epidemic: a cross-sectional study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Jinghua Li ◽  
Jingdong Xu ◽  
Huan Zhou ◽  
Hua You ◽  
Xiaohui Wang ◽  
...  
Keyword(s):  
Public Health ◽  
Mental Health ◽  
Health Status ◽  
Health Outcomes ◽  
Working Conditions ◽  
Health Workers ◽  
Front Line ◽  
Cross Sectional ◽  
Self Rated Health ◽  
Public Health Workers

ABSTRACT Background Public health workers at the Chinese Centre for Disease Control and Prevention (China CDC) and primary health care institutes (PHIs) were among the main workers who implemented prevention, control, and containment measures. However, their efforts and health status have not been well documented. We aimed to investigate the working conditions and health status of front line public health workers in China during the COVID-19 epidemic. Methods Between 18 February and 1 March 2020, we conducted an online cross-sectional survey of 2,313 CDC workers and 4,004 PHI workers in five provinces across China experiencing different scales of COVID-19 epidemic. We surveyed all participants about their work conditions, roles, burdens, perceptions, mental health, and self-rated health using a self-constructed questionnaire and standardised measurements (i.e., Patient Health Questionnaire and General Anxiety Disorder scale). To examine the independent associations between working conditions and health outcomes, we used multivariate regression models controlling for potential confounders. Results The prevalence of depression, anxiety, and poor self-rated health was 21.3, 19.0, and 9.8%, respectively, among public health workers (27.1, 20.6, and 15.0% among CDC workers and 17.5, 17.9, and 6.8% among PHI workers). The majority (71.6%) made immense efforts in both field and non-field work. Nearly 20.0% have worked all night for more than 3 days, and 45.3% had worked throughout the Chinese New Year holiday. Three risk factors and two protective factors were found to be independently associated with all three health outcomes in our final multivariate models: working all night for >3 days (multivariate odds ratio [ORm]=1.67~1.75, p<0.001), concerns about infection at work (ORm=1.46~1.89, p<0.001), perceived troubles at work (ORm=1.10~1.28, p<0.001), initiating COVID-19 prevention work after January 23 (ORm=0.78~0.82, p=0.002~0.008), and ability to persist for > 1 month at the current work intensity (ORm=0.44~0.55, p<0.001). Conclusions Chinese public health workers made immense efforts and personal sacrifices to control the COVID-19 epidemic and faced the risk of mental health problems. Efforts are needed to improve the working conditions and health status of public health workers and thus maintain their morale and effectiveness during the fight against COVID-19.

scholarly journals Self-Rated Health Status Based on the Type of Health Insurance: A Socioeconomic Perspective

2021 ◽  
Vol 58 ◽  
pp. 004695802110281
Author(s):  
Minsung Sohn ◽  
Minsoo Jung ◽  
Mankyu Choi
Keyword(s):  
Socioeconomic Status ◽  
Health Insurance ◽  
Health Status ◽  
Regression Models ◽  
Private Health Insurance ◽  
Public And Private ◽  
Logistic Regression Models ◽  
Self Rated Health ◽  
Interaction Terms ◽  
Healthcare Coverage

To investigate the effects of public and private health insurance on self-rated health (SRH) status within the National Health Insurance (NHI) system based on socioeconomic status in South Korea. The data were obtained from 10 867 respondents of the Korea Health Panel (2008-2011). We used hierarchical panel logistic regression models to assess the SRH status. We also added the interaction terms of socioeconomic status and type of health insurance as moderators. Medical aid (MA) recipients were 2.10 times more likely to have a low SRH status than those who were covered only by the NHI, even though the healthcare utilization was higher. When the interaction terms were included, those not covered by the NHI and had completed elementary school or less were 16.59 times more likely to have a low SRH status than those covered by the NHI and had earned a college degree or higher. Expanding healthcare coverage to reduce the burden of non-payment and unmet use to improve the health status of MA beneficiaries should be considered. Particularly, the vulnerability of less-educated groups should be focused on.

scholarly journals Effect of Work–Family Conflict, Psychological Job Demand, and Job Control on the Health Status of Nurses

2021 ◽  
Vol 18 (7) ◽  
pp. 3540
Author(s):  
Li-Chung Pien ◽  
Wan‐Ju Cheng ◽  
Kuei-Ru Chou ◽  
Li-Chiu Lin
Keyword(s):  
Health Status ◽  
Educational Level ◽  
Work Experience ◽  
Work Conditions ◽  
Job Control ◽  
Healthcare Sector ◽  
Hospital Data ◽  
Self Rated Health ◽  
Work Shifts ◽  
Work Family

Work–family conflicts (WFCs) are common in the healthcare sector and pose significant health risks to healthcare workers. This study examined the effect of WFCs on the health status and nurses’ leaving intentions in Taiwan. A self-administered questionnaire was used to survey 200 female nurses’ experiences of WFC from a regional hospital. Data on psychosocial work conditions, including work shifts, job control, psychological job demands, and workplace justice, were collected. Health conditions were measured using the Beck Depression Inventory-II and self-rated health. Leaving intentions were measured using a self-developed questionnaire. The participants’ average work experience was 6.79 (Standard Deviation (SD) = 5.26) years, their highest educational level was university, and work shifts were mostly night and rotating shifts. Approximately 75.5% of nurses perceived high levels of WFCs. Leaving intentions were correlated with WFCs (r = 0.350, p < 0.01) and psychological work demands (r = 0.377, p < 0.01). After adjusting for age, educational level, and work characteristics, high levels of WFCs were associated with poor self-rated health, and depression, but not associated with high leaving intentions. Nurses’ experiences of high levels of WFCs greatly affected their health status.

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