Socioeconomic status and health behaviors as predictors of changes in self‐rated health among older persons in Israel

2020 ◽  
Author(s):  
Aviad Tur‐Sinai ◽  
Varda Soskolne
Keyword(s):  
Socioeconomic Status ◽  
Health Behaviors ◽  
Older Persons ◽  
Self Rated Health ◽  
Socioeconomic Status And Health

scholarly journals Socioeconomic Status and Health Behavior in Children and Adolescents: A Systematic Literature Review

2021 ◽  
Author(s):  
Nirmal Gautam ◽  
Getenet Dessie ◽  
Mohammad Mafizur Rahman ◽  
Rasheda Khanam
Keyword(s):  
Socioeconomic Status ◽  
Literature Review ◽  
Health Behavior ◽  
Health Behaviors ◽  
Children And Adolescents ◽  
Systematic Literature Review ◽  
Low Socioeconomic Status ◽  
Study Objective ◽  
Low Socioeconomic ◽  
Socioeconomic Status And Health

Abstract Background:Socioeconomic status (SES) is an important determinant of health behaviors in individuals and contributes to a complex relationship with health. Because of this complexity, the relationship between SES and health behavior is still unclear. Thus, this literature review aims to assess the association between socioeconomic inequalities and health behaviors in children and adolescents from both developed and developing countries.Methods:Preferred Reporting for Systematic Review and Meta-Analysis protocol (PRISMA-P) guideline was used to conduct a systematic literature review. The electronic online databases EBSCO Host, PubMed, Web of Science, and Science Direct were utilized to systematically search the published articles. Joanna Briggs Institute of critical appeal tool was deployed to assess the quality of included studies. Eligibilities criteria such as study population, study design, study type, study objective, language, and publication date were used to identify the relevant literature that measured the association between socioeconomic status and health behaviors.Results:Out of 1483 articles, only 31 met the final eligibility criteria and were assessed in this paper. Out of these studies: ten, nine, seven and five studies identified a positive association between socioeconomic status (SES) and (a) drinking alcohol; (b) physical activity; (c) fruits and vegetable consumption; (d) consumption of a healthy diet respectively. On the other hand, a negative association between SES and smoking and SES and consumption of cannabis were found by eleven and one study respectively among the children and adolescents. Conclusions:This review study found that the problem of health behaviors is continuing to be a major concern in children and adolescents, particularly those who are of low socioeconomic status. The findings of this study revealed that some specific intervention packages are needed for reducing these damaging health behaviors and enhancing the protective health behaviors in those children and adolescents from a low socioeconomic status.

scholarly journals Determinants of self-rated health among an older Tibetan population in a Chinese plateau area: analysis based on the conceptual framework for determinants of health

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Yajie Li ◽  
Qucuo Nima ◽  
Bin Yu ◽  
Xiong Xiao ◽  
Peibin Zeng ◽  
...  
Keyword(s):  
Mental Health ◽  
Socioeconomic Status ◽  
Health Behaviors ◽  
Physical Health ◽  
Conceptual Framework ◽  
Chronic Diseases ◽  
Determinants Of Health ◽  
Self Rated Health ◽  
Plateau Area ◽  
And Gender

Abstract Background Self-rated health (SRH) has been frequently used in population health surveys. However, most of these studies only focus on specific factors that might directly affect SRH, so only partial or confounding information about the determinants of SRH is potentially obtained. Conducted in an older Tibetan population in a Chinese plateau area, the aim of our study is to assess interrelationships between various factors affecting SRH based on the conceptual framework for determinants of health. Methods Between May 2018 and September 2019, 2707 Tibetans aged 50 years or older were recruited as part of the China Multi-Ethnic Cohort Study (CMEC) from the Chengguan District of Lhasa city in Tibet. The information included SRH and variables based on the conceptual framework for determinants of health (i.e., socioeconomic status, health behaviors, physical health, mental health, and chronic diseases). Structural equation modeling (SEM) was used to estimate the direct and indirect effects of multiple factors in the conceptual framework. Results Among all participants, 5.54% rated their health excellent, 51.16% very good, 33.58% good, 9.12% fairly poor and 0.59% poor. Physical health (β = − 0.23, P <  0.001), health behaviors (β = − 0.44, P <  0.001), socioeconomic status (β = − 0.29, P <  0.001), chronic diseases (β = − 0.32, P <  0.001) and gender (β = 0.19, P <  0.001) were directly associated with SRH. Socioeconomic status, physical health and gender affected SRH both directly and indirectly. In addition, there are potential complete mediator effects in which age and mental health affect SRH through mediators, such as physical health, health behaviors and chronic diseases. Conclusions The findings suggested that interventions targeting behavioral changes, health and chronic disease management should be attached to improve SRH among older populations in plateau areas without ignoring gender and socioeconomic disparities.

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.

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