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This study aimed to estimate the prevalence of uninsurance among California adults and Asian Americans, and to examine the associations of social-behavioral variables with uninsurance. A total of 24,136 adults (aged 18–64) including 2,060 Asian Americans were selected from the combined 2013–2014 California Health Interview Survey. Weighted univaria...
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Context 1
... greater proportion of uninsured Chinese and Korean participants rated their health as fair/poor (31.4% and 29.0%). Table 4 presents the results from both univariate and multivariate logistic regression analyses among Californian adults. The first column is variable name and value, the second column is crude OR, the third column and the fourth column are 95% confidence intervals and P values, the fifth column is adjusted OR, the sixth column and the seventh column are corresponding 95% confidence intervals and P values, respectively. ...Context 2
... non-citizen Asians, non-citizen Chinese and Vietnameses had similar prevalence (33.6% and 21.2%) to those estimated by Huang and Carrasqullo 2008 (32.3% and 21.2%); whereas non-citizen Filipino, Japanese and Korean had lower prevalence (17.1%, 13.1% and 28.1%) than previous report (21.8%, 24.1% and 33.6%) (Huang and Carrasqullo 2008). Logistic regression analysis further revealed that the odds for non-citizen California adults are about 232% higher than the odds for those U.S. born citizen ( Table 4); whereas the odds for non-citizen Asian adults are about 320% higher than the odds for U.S. born citizens ( Table 5). ...Context 3
... recent study also found that nicotine dependence is associated with low insurance coverage ( Wang and Xie, 2017). The present study showed that the prevalence of uninsurance in current smoking (23.4%) was much higher than those in former smoking and never smoking groups (14.7% and 14.0%, respectively) in California adults as shown in Table 1; while logistic regression further revealed that the odds for current smoking adults are about 68% higher than the odds for those never smoking (Table 4). Furthermore, the univariate analysis in Asian Americans also revealed significant association between current smoking and unisurance (OR = 2.63, 95% CI = 1.30-5.33); ...Similar publications
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We examine the effects of a severe climate event on local firms. Our data include 8,218 business credit reports and a detailed survey of 273 businesses in the area affected by Hurricane Harvey. Delinquent credit balances doubled in areas with the worst flooding, although nonflooded areas also had significant credit impairments. Only independent bus...
Background:
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Background
To facilitate the drive towards Universal Health Coverage (UHC) several countries in the West African subregion have over the last two decades adopted the system of National Health Insurance (NHI) to finance their health services. However, most of these countries continue to face challenges safeguarding the insured population against cat...
Background:
With the rapid advances in gene technologies in recent years, the potential benefits of precision medicine (PM) may spread unevenly to disadvantaged populations, such as Hispanics/Latinos. The objective of this study was to explore patient-level barriers and facilitators to dissemination and adoption of PM among Hispanics/Latinos, incl...
Citations
... One previous study examining insurance status found that Chinese and Korean subgroups had lower rates of health insurance coverage compared to Non-Hispanic white, Filipino, and Japanese groups [52]. They found that those with lower income had higher likelihood of being uninsured [52]. ...
... One previous study examining insurance status found that Chinese and Korean subgroups had lower rates of health insurance coverage compared to Non-Hispanic white, Filipino, and Japanese groups [52]. They found that those with lower income had higher likelihood of being uninsured [52]. In addition, Chinese and Korean immigrants were more likely to be uninsured compared to U.S.-born Asian Americans, indicating potential immigration-related barriers to accessing health insurance [52]. ...
... They found that those with lower income had higher likelihood of being uninsured [52]. In addition, Chinese and Korean immigrants were more likely to be uninsured compared to U.S.-born Asian Americans, indicating potential immigration-related barriers to accessing health insurance [52]. Other research on insurance status among Asian American immigrants found that being uninsured was associated with Korean subgroup (compared to Chinese and other Asian subgroups), male gender, being unemployed or self-employed, low English proficiency, and having recently immigrated [53,54]. ...
Asian Americans are more likely to be unaware that they have hypertension compared to non-Hispanic white Americans, despite having higher risk of hypertension at lower body-mass indices. Furthermore, immigrants are more likely than their United States (U.S.)-born counterparts to have undiagnosed hypertension, placing them at greater risk of subsequent morbidity and mortality. This study examines the social determinants of undiagnosed hypertension among Asian American immigrants. Using a study of foreign-born Chinese and Korean Americans between the ages of 50–75 years-old recruited from physicians’ clinics in the Baltimore-Washington DC Metropolitan Area (n = 355), we used blood pressure readings measured by trained staff members, self-reported diagnosis by a medical professional, and self-reported hypertension medication use to determine hypertension status—whether patients were non-hypertensive, had diagnosed hypertension, or had undiagnosed hypertension. Using multinomial logistic regression, we examined how demographic, socioeconomic, and immigration-related factors were associated with hypertension status. Results indicated that older age, male gender, Korean subgroup, and marital status were associated with having diagnosed hypertension compared to being non-hypertensive. Lack of health insurance was the strongest predictor of having undiagnosed hypertension compared to being non-hypertensive. Acculturation variables had no strong associations with hypertension status. We then explored correlates of health insurance status for Chinese and Korean American immigrants. Those without health insurance were more likely to have lower income and to be not currently employed. Our findings point to the importance of increasing health insurance access for Asian American immigrant groups to ensure that hypertension is not left undiagnosed and untreated.
... The data refers to the national average of responses to life evaluation questions. The prevalence of depression and anxiety disorders are determined by the increase in the proportion of the sample with depressive and anxiety disorders divided by the total number; namely, the increase in the prevalence of depression and anxiety disorders (57). They come from Global Burden of Disease (GBD) (https://vizhub.healthdata.org/gbd-compare/). ...
Many studies reveal that air pollution is related to mental health. However, the level of impact and the regulatory mechanism of air pollution on different types of mental health are unknown. This paper examines the heterogeneous impact and mediating mechanisms of air pollution on mental health based on data of 51 countries from 2010 to 2017 by using panel Tobit random effect model, mediating effect model, and bootstrap test. The findings show that, firstly, there is heterogeneous impact of air pollution on different types of mental health. Specifically, air pollution has a significant positive impact on depression; and the impacts on happiness and anxiety are closely related to income level. Secondly, the heterogeneous impact of air pollution on mental health is contingent on income levels. Thirdly, the heterogeneous impacts under different income levels are exacerbated by different levels of education and population density. Lastly, the mediating effect of physical health on different types of mental health is also heterogeneous. To be specific, the effects of air pollution on depression and anxiety are partly mediated by physical health; whereas the effect on happiness is not. These findings contribute to the understanding of air pollution on public health, and have significant implication for social and public health policy makers.
... where subscripts i and t represent the country and the year and subscript k represents the time lag of effect taken by pharmaceutical manufacturing innovation on perceived health, which is set to be k = 4. PHE is the (16,33,(35)(36)(37)(38)(39). By summarizing the existing empirical results, together with features of considered objects, four control variables are selected in this paper, including age structure, educational level, unemployment rate, and income level. ...
By taking 22 OECD countries from 2010 to 2017 as sample, we study the effect of pharmaceutical manufacturing innovation on perceived health by using the panel Tobit model from the entire sample and sub-samples, respectively, as well as analyze their transmission channels by adding moderating effect. Based on the above, we get the following results: first, the pharmaceutical manufacturing innovation 4 years ago has a positive influence on perceived health, which means the improvement of perceived health is closely related to pharmaceutical manufacturing innovation 4 years ago. Second, pharmaceutical manufacturing innovation has a heterogeneous impact on perceived health, which, including the size and direction of the impact effect, is mainly reflected in different pharmaceutical manufacturing innovation levels, population aging degrees, and education levels. Third, income level can positively regulate the impact of pharmaceutical manufacturing innovation on perceived health.
... All data are obtained from the Gallup World Poll (GWP), Global Burden of Disease (GBD), World Bank (WB) and World Development Indicators (WDI) database. The explained variable of the panel Tobit model is mental health (including happiness, prevalence of depression and anxiety disorders), the prevalence of depression and anxiety disorders is defined by the number of people in the sample with the characteristic of depression and anxiety disorders, divided by the total number of people in the sample, respectively [45]. National income is the explanatory variable. ...
... All data are obtained from the Gallup World Poll (GWP), Global Burden of Disease (GBD), World Bank (WB) and World Development Indicators (WDI) database. The explained variable of the panel Tobit model is mental health (including happiness, prevalence of depression and anxiety disorders), the prevalence of depression and anxiety disorders is defined by the number of people in the sample with the characteristic of depression and anxiety disorders, divided by the total number of people in the sample, respectively [45]. National income is the explanatory variable. ...
Understanding heterogeneous impact and mechanisms between national income and mental health are crucial to develop prevention and intervention strategies. Based on panel data from 2007 to 2017, this study explores the heterogeneous impact of national income on different types of mental health. Then, it analyzes the heterogeneous impact among countries with different income levels. Furthermore, the heterogeneous moderating effects of national income on mental health mechanisms are elaborated and the findings reveal several key conclusions: firstly, national income exerts a heterogeneous impact on different types of mental health. Rising national income is conducive to increase people’s happiness and reduce their prevalence of anxiety disorders, but it increases the prevalence of depression disorders. Secondly, national income has a heterogeneous impact on different types of mental health among countries with different income levels. Furthermore, the heterogeneous influence mechanism of national income on mental health is mainly reflected in different types of mental health. Unemployment, social support and freedom can moderate the relationship between national income and depression, while social support, positive affect and negative affect can moderate the relationship between national income and anxiety. Finally, based on the conclusions of quantitative analysis, some important policy recommendations are proposed for policy makers.
... Overall, as PM 2.5 pollution in countries with low socioeconomic development levels is more severe than those with high socioeconomic development levels, it is expected that the adverse health effects of fine particulate air pollution will be larger in the former countries. On the other hand, empirical studies, especially those at micro dimension, revealed that populations with lower socioeconomic status (e.g., low income, poor education) tend to have higher exposure to air pollution as well as less access to health services and thus suffer greater adverse health effects accordingly [34][35][36][37]. In this sense, this paper believes that the negative impacts of fine particulate air pollution on children's health outcomes should be larger in the countries which are of lower socioeconomic development levels. ...
The impacts of fine particulate matter (PM 2.5) air pollution on health outcomes, especially those of children, have attracted worldwide attention. Based on the PM 2.5 concentration data of 94 countries, including the least developed countries estimated by satellite observations in nearly 20 years, this paper investigated the impacts of PM 2.5 pollution on under-five mortality rate (U5MR) and analyzed the role of public service in moderating the PM 2.5-mortality relationship. Results indicated that PM 2.5 pollution had significantly positive influence on U5MR globally. However, the effects of fine particulate pollution on child mortality were heterogeneous in terms of their significance and degrees in countries with different levels of development. A further test based on panel threshold model revealed that public service, measured by public education spending and sanitation service, played a positive moderating role in the PM 2.5-mortality relationship. Specifically, when the ratio of public education expenditure in GDP of a country exceeded the first threshold value 3.39% and the second threshold value 5.47%, the magnitude of the impacts of PM 2.5 pollution on U5MR significantly decreased accordingly. When the percentage of population with access to improved sanitation facilities in a country was over 41.3%, the health damaging effects were reduced by more than half. This paper fills the current gap of PM 2.5 research in least developed countries and provides key policy recommendations.
... According to the analysis [44], we believe that economic development was not the only reason to explain the differences in the out-of-pocket payment willingness among countries. We were also aware that social-behavioral factors would affect residents' habits of participation in insurance, and the prevalence rate of un-insurance also varies in different regions [45]. Therefore, geographic or cultural differences may explain the different reactions of residents to the cyclic economic recession in the out-of-pocket payment willingness in different countries. ...
We used an individual regression and panel data regression method to analyze the samples of 60 countries from 2000 to 2016 to study the impact of the economic recession on residents’ out-of-pocket payment willingness for health care. Although we found an increase in the willingness during the economic recession in most countries, we couldn’t find significant evidence of a positive relationship between the economic recession and such willingness. We discovered that the relationship differentiates in different countries, which mainly depends on the differences in the medical systems and degree of economic development. By controlling individual differences in countries, we found that the economic recession inhibited the out-of-pocket payment willingness for health care. Especially after the impact of the financial crisis in 2008, the cumulative effect of the economic recession and the aftershock of financial crisis was discovered, which significantly inhibited residents’ willingness. In addition, we verified that the economic recession inhibited the out-of-pocket payment willingness by reducing employee compensation in specific types of countries.
Objective
This study examined the effects of the first family health history (FHH)-based colorectal cancer (CRC) prevention education on 1) FHH of CRC communication with family members and primary care physicians (PCPs), 2) fecal occult blood test (FOBT) uptake, and 3) CRC preventive lifestyle modifications among 50- to 75-year-old Chinese Americans non-adherent to CRC screening guidelines.
Methods
Using a community–based participatory research approach, we developed and implemented 62 culturally and linguistically appropriate, theory-driven, FHH-based CRC prevention educational workshops across Texas for 344 Chinese Americans (mostly with low education/income) aged 50–75 years who were non-adherent to CRC screening guidelines.
Results
Linear mixed modeling analyses showed that participants’ FHH of CRC communication with PCPs and family members significantly increased two-week post-workshop compared to pre-workshop data (ps<0.001). Moreover, at two-weeks post-workshop, 91.9 % of participants underwent FOBT. Nevertheless, no significant changes were found in participants’ lifestyles.
Conclusion
Our educational workshops successfully increased Chinese Americans’ FHH of CRC communication and FOBT uptake. Personalized education with longer follow-ups may be needed in future studies to promote lifestyle changes among Chinese Americans.
Practice implications
Health and public health professionals may adopt our workshop educational materials to provide patient and public CRC prevention education for Chinese Americans.
