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.

The Determinants and Subsequent Effect of Self-Rated Health Status on Survival among Elderly Americans

2014 ◽  
Vol 3 (2) ◽  
pp. 69
Author(s):  
Guangming Han
Keyword(s):  
Health Status ◽  
Regression Models ◽  
Survival Function ◽  
The Elderly ◽  
Mortality Prediction ◽  
Logistic Regression Models ◽  
Self Rated Health ◽  
Elderly Populations ◽  
Impact On Survival ◽  
Cox Proportional Hazard Regression

The main aim of this study is to explore the patterns, determinants and subsequent mortality prediction of change in self-rated health in the elderly American population. To achieve this purpose, we constructed logistic regression models and Cox proportional hazard regression models with the complex survey dataset from the National Second Longitudinal Study of Aging (LSOA II) to calculate the odds ratios (OR)/ hazard ratios (HR) and confidence intervals (CI) of risk factors. Our results show that chronic disease condition and difficulty in daily activities are the main reasons for change in self-rated health status. Furthermore, change in self-rated health has significant impact on survival function in the elderly populations. When change in self-rated health status was considered, self-rated health was a stronger and more flexible predictor of mortality for elderly populations. These findings will provide important information to establish effective strategies for prolonging lifespan by improving self-rated health status for elderly populations.

scholarly journals The Determinants and Subsequent Effect of Self-Rated Health Status on Survival among Elderly Americans

2014 ◽  
Vol 3 (2) ◽  
pp. 69
Author(s):  
Guangming Han
Keyword(s):  
Health Status ◽  
Regression Models ◽  
Survival Function ◽  
The Elderly ◽  
Mortality Prediction ◽  
Logistic Regression Models ◽  
Self Rated Health ◽  
Elderly Populations ◽  
Impact On Survival ◽  
Cox Proportional Hazard Regression

The main aim of this study is to explore the patterns, determinants and subsequent mortality prediction of change in self-rated health in the elderly American population. To achieve this purpose, we constructed logistic regression models and Cox proportional hazard regression models with the complex survey dataset from the National Second Longitudinal Study of Aging (LSOA II) to calculate the odds ratios (OR)/ hazard ratios (HR) and confidence intervals (CI) of risk factors. Our results show that chronic disease condition and difficulty in daily activities are the main reasons for change in self-rated health status. Furthermore, change in self-rated health has significant impact on survival function in the elderly populations. When change in self-rated health status was considered, self-rated health was a stronger and more flexible predictor of mortality for elderly populations. These findings will provide important information to establish effective strategies for prolonging lifespan by improving self-rated health status for elderly populations.

scholarly journals Prevailing over Adversity: Factors Counteracting the Long-Term Negative Health Influences of Social and Material Disadvantages in Youth

2018 ◽  
Vol 15 (9) ◽  
pp. 1842 ◽  
Author(s):  
Ylva Almquist ◽  
Evelina Landstedt ◽  
Josephine Jackisch ◽  
Kristiina Rajaleid ◽  
Hugo Westerlund ◽  
...  
Keyword(s):  
Health Status ◽  
Regression Models ◽  
Logistic Regression Models ◽  
Self Rated Health ◽  
Spare Time ◽  
The Family ◽  
Health Promoting ◽  
Material Conditions ◽  
Swedish Cohort

Disadvantaged circumstances in youth tend to translate into poor health development. However, the fact that this is not always the case has been seen as indicative of differential resilience. The current study highlights factors outside the context of the family with the potential to counteract the long-term negative influences of social and material adversity in adolescence on general health status. This study was based on two waves of questionnaire data from the Northern Swedish Cohort. From the wave in 1981 (age 16), indicators of social and material conditions as well as factors related to school, peers, and spare time were derived. From the wave in 2008 (age 43), information about self-rated health was used. Ordinal logistic regression models (n = 908) showed that adversity in youth was associated with poorer self-rated health in midlife among men and women alike, net of health status at baseline. However, having an advantaged situation with regard to school, peers, or spare time appeared to protect against the detrimental influences of disadvantaged circumstances in the family context on subsequent health. This suggests that health-promoting interventions may benefit from focusing on contexts outside the family in their effort to strengthen processes of resilience among disadvantaged youths.

scholarly journals Prevailing over Adversity: Factors Counteracting the Long-Term Negative Health Influences of Social and Material Disadvantages in Youth

2018 ◽  
Author(s):  
Ylva B Almquist ◽  
Evelina Landstedt ◽  
Josephine Jackisch ◽  
Kristiina Rajaleid ◽  
Hugo Westerlund ◽  
...  
Keyword(s):  
Health Status ◽  
Regression Models ◽  
Logistic Regression Models ◽  
Self Rated Health ◽  
Spare Time ◽  
The Family ◽  
Health Promoting ◽  
Material Conditions ◽  
Swedish Cohort

Disadvantaged circumstances in youth tend to translate into poor health development. Yet, the fact that this is not always the case has been seen as indicative of differential resilience. The current study highlights factors outside the context of the family with the potential to counteract the long-term negative influences of social and material adversity in adolescence on general health status. This study was based on two waves of questionnaire data from the Northern Swedish Cohort. From the wave in 1981 (age 16), indicators of social and material conditions as well as factors related to school, peers, and spare time, were derived. From the wave in 2008 (age 43), information about self-rated health was used. Ordinal logistic regression models (n=908) showed that adversity in youth was associated with poorer self-rated health in midlife among men and women alike, net of health status at baseline. However, having an advantaged situation with regard to school, peers, or spare time appeared to protect against the detrimental influences of disadvantaged circumstances in the family context on subsequent health. This suggests that health-promoting interventions may benefit from focusing on contexts outside the family in their effort to strengthen processes of resilience among disadvantaged youths.

Abstract P149: Retention of Participants in Longitudinal Research: The Multi-Ethnic Study of Atherosclerosis

Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Sandi Shrager
Keyword(s):  
Cardiovascular Disease ◽  
Socioeconomic Status ◽  
African American ◽  
Health Insurance ◽  
Health Status ◽  
Marital Status ◽  
Ethnic Minority ◽  
Ethnic Groups ◽  
Longitudinal Research ◽  
Minority Participants

Background: Retention of participants is a critical component of ensuring the scientific goals of longitudinal research studies. Differential rates of attrition for ethnic minority participants can be particularly problematic in the fields of health and cardiovascular research, where ethnic minorities are shown to have disproportionately higher rates of both cardiovascular disease and risk factors for heart disease such as diabetes, hypertension, and obesity. The ability to explore the underlying causes of these differences is adversely affected when attrition in a study occurs at a higher rate among the ethnic minority subject participants. Understanding and preventing the causes of subject drop-out to improve retention among all ethnic groups is therefore a vital endeavor of any longitudinal research or cohort study. Methods: We analyzed data on ten-year retention rates of Caucasian, Chinese, Hispanic, and African-American participants in the Multi-Ethnic Study of Atherosclerosis (MESA). 6814 participants were recruited into the study in 2000, and 5,865 participants were still alive for the fifth in-person examination ten years later. Of these, 4651 participants returned for this examination. Logistic regression was used to examine the association between retention in the study, race/ethnicity and various baseline demographic characteristics, including age, gender, marital status, income, employment, education, language, place of birth, health insurance status and overall health status as measured by a 10-year predicted cardiovascular disease rate. Results: Racial differences in retention were observed, with Chinese, African-American, and Hispanic participants having 30-40% lower odds of being retained than Caucasian participants. However, after adjusting for demographic variables, these differences were primarily explained by indicators of socioeconomic status. Higher income, higher education, employment status, availability of health insurance and health status were significantly associated with ten-year retention in the study across all racial/ethnic groups. Marital status, gender, age, and birthplace (US vs non-US) were not associated with retention. Conclusions: Although minority participants were retained at lower rates in MESA, this can be primarily explained by differences in socioeconomic status and health status. Individuals with higher SES indicators may have life circumstances making participation in an examination taking much of a full day more plausible. Future studies should consider how these findings may inform developing support services or incentives which make follow-up participation in clinical research more persuasive for these individuals.

scholarly journals Until Death Do Us Part. The Influence of Own and Partner’s Socioeconomic Status on the Health of Spanish Middle-Aged Population

2020 ◽  
Vol 17 (13) ◽  
pp. 4644
Author(s):  
Jordi Gumà ◽  
Jeroen Spijker
Keyword(s):  
Socioeconomic Status ◽  
Regression Models ◽  
Population Group ◽  
Good Health ◽  
The European Union ◽  
Middle Aged ◽  
Logistic Regression Models ◽  
Health Differences ◽  
Low Educated ◽  
Significant Health

Objectives: To explore whether the influence of a partner’s socioeconomic status (SES) on health has an additive or a combined effect with the ego’s SES. Methods: With data on 4533 middle-aged (30–59) different-sex couples from the 2012 Spanish sample of the European Union Statistics on Income and Living Conditions (EU-SILC) survey, we apply separate sex-specific logistic regression models to calculate predicted probabilities of having less than good self-perceived health according to individual and partner’s characteristics separately and combined. Results: Both approaches led to similar results: Having a partner with better SES reduces the probabilities of not having good health. However, the combined approach is more precise in disentangling SES effects. For instance, having a higher educated partner only benefits health among Spanish low-educated men, while men’s health is worse if they have a working spouse. Conversely, women’s health is positively influenced if at least one couple member is economically active. Conclusions: There are significant health differences between individuals according to their own and their partner’s SES in an apparently advantageous population group (i.e., individuals living with a partner). The combinative approach permits obtaining more precise couple-specific SES profiles.

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