scholarly journals Racial Non-equivalence of Socioeconomic Status and Self-rated Health among African Americans and Whites

2020 ◽  
Vol 10 ◽  
pp. 100561 ◽  
Author(s):  
Caryn N. Bell ◽  
Tina K. Sacks ◽  
Courtney S. Thomas Tobin ◽  
Roland J. Thorpe
Keyword(s):  
Socioeconomic Status ◽  
African Americans ◽  
Self Rated Health

Validity of Self-Rated Health Among African Americans

2007 ◽  
Author(s):  
Irma Corral ◽  
Hope Landrine ◽  
Ivory Veley ◽  
Jonathan Martinez ◽  
Latrice C. Pichon
Keyword(s):  
African Americans ◽  
Self Rated Health

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 The effect of self-rated health, subjective socioeconomic status, social capital, and physical activity on life satisfaction: a cross-sectional study in urban western Iran

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Nader Rajabi Gilan ◽  
Mehdi khezeli ◽  
Shirin Zardoshtian
Keyword(s):  
Physical Activity ◽  
Social Capital ◽  
Socioeconomic Status ◽  
Life Satisfaction ◽  
College Education ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Subjective Socioeconomic Status ◽  
Self Rated Health

Abstract Background Life satisfaction is an important component in designing strategies to improve health outcomes in different groups of society. This study aimed to investigate the effect of subjective socioeconomic status (SSS), social capital (SC), self-rated health (SRH), and physical activity (PA) on life satisfaction (LS) in Iran. Methods This cross-sectional study was conducted on 1187 people (643 men and 544 women) lived in five western cities in Iran. The sampling method was multistage clustering. Data collection tool was a five part questionnaire including demographic characteristics, socioeconomic status ladder, social capital scale, a question to measure physical activity, and the life satisfaction scale. Data were analyzed using independent t-test, one way ANOVA, and Ordinal Logistic Regression. Result Life satisfaction was higher in married men and women compared to single and widows (p < 0.05). Among the variables included in the main model, the significant predictors were college education (− 0.500), marriage (coefficient = 0.422), age 25–34 years (coefficient = − 0.384), SRH (coefficient = 0.477), male sex (coefficient = 0.425), SSS (coefficient = 0.373), trust (coefficient = 0.115), and belonging and empathy (coefficient = 0.064). Conclusion SRH and SSS were significant predictors of life satisfaction in west Iranian society. Being married was associated with higher LS, but college education affects LS adversely.

Inequalities in adolescent self-rated health and smoking in Europe: comparing different indicators of socioeconomic status

2019 ◽  
Vol 73 (10) ◽  
pp. 963-970 ◽  
Author(s):  
Irene Moor ◽  
Mirte A G Kuipers ◽  
Vincent Lorant ◽  
Timo-Kolja Pförtner ◽  
Jaana M Kinnunen ◽  
...  
Keyword(s):  
Socioeconomic Status ◽  
Academic Performance ◽  
Adolescent Health ◽  
Health Inequalities ◽  
Parental Education ◽  
Socioeconomic Inequalities ◽  
Family Affluence ◽  
Self Rated Health ◽  
Pocket Money ◽  
Family Ses

BackgroundAlthough there is evidence for socioeconomic inequalities in health and health behaviour in adolescents, different indicators of socioeconomic status (SES) have rarely been compared within one data sample. We examined associations of five SES indicators with self-rated health (SRH) and smoking (ie, a leading cause of health inequalities) in Europe.MethodsData of adolescents aged 14–17 years old were obtained from the 2013 SILNE survey (smoking inequalities: learning from natural experiments), carried out in 50 schools in 6 European cities (N=10 900). Capturing subjective perceptions of relative SES and objective measures of education and wealth, we measured adolescents’ own SES (academic performance, pocket money), parental SES (parental educational level) and family SES (Family Affluence Scale, subjective social status (SSS)). Logistic regression models with SRH and smoking as dependent variables included all SES indicators, age and gender.ResultsCorrelations between SES indicators were weak to moderate. Low academic performance (OR=1.96, 95% CI 1.53 to 2.51) and low SSS (OR=2.75, 95% CI 2.12 to 3.55) were the strongest indicators of poor SRH after adjusting for other SES-indicators. Results for SSS were consistent across countries, while associations with academic performance varied. Low academic performance (OR=5.71, 95% CI 4.63 to 7.06) and more pocket money (OR=0.21, 95% CI 0.18 to 0.26) were most strongly associated with smoking in all countries.ConclusionsSocioeconomic inequalities in adolescent health were largest according to SES indicators more closely related to the adolescent’s education as well as the adolescent’s perception of relative family SES, rather than objective indicators of parental education and material family affluence. For future studies on adolescent health inequalities, consideration of adolescent-related SES indicators was recommended.

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