Social Determinants of Physical Self-Rated Health among Asian Americans; Comparison of Six Ethnic Groups

The relationships between race, employment, and self-rated health among older South Africans: exploring the mediating role of generalized anxiety

Objective

This study explores the impact of race and employment status on self-rated health among older adults in South Africa. It reveals new insights by examining the mediating role of generalized anxiety. The findings highlight the importance of addressing these factors to improve the wellbeing of older adults.

Methods

Drawing from Wave 5 of the National Income Dynamics Study-Coronavirus Rapid Mobile Survey, a cross-sectional survey encompassing a nationally representative cohort of South African adults, this research employs a sophisticated blend of logistic regression and structural equation modeling techniques.

Results

The study reveals that race is strongly linked to self-rated health. Individuals of Colored and White backgrounds have lower odds of favorable self-rated health. Retirement has a positive impact on self-rated health. Generalized anxiety mediates the complex relationship between race and self-rated health.

Conclusions

Addressing the imperative need to mitigate racial disparities in self-rated health and advance equitable healthcare access for older adults, targeted interventions are undeniably warranted.

A Data-Driven Approach to Identify the Predictors of Perceived Health Status Among Chinese and Korean Americans

Asian Americans are the country's fastest-growing racial group, and several studies have focused on the health outcomes of Asian Americans, including perceived health status. Perceived health status provides a summarized view of the health of populations for diverse domains, such as the psychological, social, and behavioral aspects. Given its multifaceted nature, perceived health status should be carefully approached when examining any variables' influence because it results from interactions among many variables. A data-driven approach using machine learning provides an effective way to discover new insights when there are complex interactions among multiple variables. To date, there are not many studies available that use machine learning to examine the effects of diverse variables on the perceived health status of Chinese and Korean Americans. This study aims to develop and evaluate three prediction models using logistic regression, random forest, and support vector machines to find the predictors of perceived health status among Chinese and Korean Americans from survey data. The prediction models identified specific predictors of perceived health status. These predictors can be utilized when planning for effective interventions for the better health outcomes of Chinese and Korean Americans.

Racial/ethnic differences in social support and health among Asian American and non-Hispanic White midlife women: Results from the Study of Women's Health Across the Nation (SWAN)

OBJECTIVE

Although prior research suggests Asian Americans experience physical health advantages relative to other racial/ethnic groups, increasing evidence points to health inequalities within Asian American subgroups. Disparities are especially pronounced among middle-aged Asian American women, who remain an understudied population, despite studies showing that midlife corresponds with distinct social stressors and changes in the availability of protective resources, such as social support. Thus, the purpose of the study was to examine racial/ethnic differences in social support and self-rated health (SRH) among middle-aged women.

DESIGN

With data from the Study of Women's Health Across the Nation (SWAN; N = 1258), we used modified Poisson regression models to estimate incidence rate ratios (IRR), examining how social support shaped the risk of fair-to-poor SRH by race/ethnicity. We tested interactions between perceived stress, social support and race/ethnicity to determine whether the stress-buffering role of social support varies by group.

RESULTS

Results demonstrate racial/ethnic differences in SRH. Higher levels of social support were linked to higher fair-to-poor SRH among Chinese American women (IRR = 1.24; 95% CI [1.02, 1.52]); while greater social support conferred lower risk among White women. Interaction analyses revealed additional nuances in the stress-buffering effects of social support among Chinese American women, such that the health benefits of social support depended on levels of perceived stress (IRR = 0.75; 95% CI [0.57, 1.00]).

CONCLUSIONS

These findings highlight important distinctions in the ways that psychosocial factors shape health across racial/ethnic groups. In particular, this study helps advance our understanding of important subgroup differences in the stress-buffering role of social support for Asian American midlife women. Interventions should focus on identifying sources of social strain among Asian American women that can increase the risk for poor health and identify alternative sources of support that mitigate stressors to improve health.

Cardiovascular Disease and Health-Related Quality of Life Among Asian American, Native Hawaiian and Pacific Islander Older Adults

Objectives: Assess the relationship between cardiovascular disease (CVD) and health-related quality of life (HRQOL) among Asian American, Native Hawaiian, and Pacific Islander (NH/PI) compared to white older adults. Methods: Data were from the 2011-2015 Health Outcomes Survey. HRQOL was assessed using the Veterans RAND 12-Item Survey, composed of physical (PCS) and mental component scores (MCS). Lower scores represent worse health. Multivariate regression was conducted to estimate PCS and MCS mean score differences related to self-reported CVD (coronary artery disease, congestive heart failure, myocardial infarction, other heart conditions, stroke) and race/ethnicity. Results: There were marked differences in PCS and MCS scores by disaggregated Asian American and NH/PI subgroups. After adjustment, Asian American and NH/PI older adults had better PCS but worse MCS than white older adults. Race/ethnicity moderated the relationship between CVD and HRQOL. Discussion: Asian American and NH/PI older adults with CVD had poorer mental health compared to their white counterparts.

Racial Discrimination and Health-Related Quality of Life: An Examination Among Asian American Immigrants

OBJECTIVES

We aimed to examine the relationship between everyday and major racial discrimination with health-related quality of life (HRQOL), which consists of self-rated health, days of poor physical health, mental health, and activity limitation.

DESIGN

In a cross-sectional analytic sample of 524 foreign-born Asian adults, aged 18 years and older, we conducted multivariable logistic regression and multivariable negative binomial regression to examine associations between discrimination and HRQOL. Furthermore, potential effect modification was tested by gender, ethnicity, and social support.

RESULTS

Associations were found between everyday racial discrimination and days of poor physical health (incidence rate ratio, IRR = 1.05), mental health (IRR = 1.03), and activity limitation (IRR = 1.05). Stronger significant associations were observed between major racial discrimination and days of poor physical health (IRR = 1.21), mental health (IRR = 1.16), and activity limitation (IRR = 1.53), adjusting for all covariates. Racial discrimination was not associated with poor self-rated health. In addition, gender significantly modified the relationship between continuous racial discrimination and activity limitation days with associations of greater magnitude among men, while social support significantly modified the association between categorized major racial discrimination and physically unhealthy days. When stratified, the association was only significant among those with low social support (IRR = 3.04; 95% CI: 1.60, 5.79) as opposed to high social support.

CONCLUSIONS

This study supports the association between racial discrimination and worse HRQOL among Asian Americans, which can inform future interventions, especially among men and those with low social support, aimed at improving the quality of life in this population.

Assessing the Validity of Self-rated Health Across Ethnic Groups: Implications for Health Disparities Research

OBJECTIVES

This study examines the association between morbidity (i.e., chronic health conditions) and self-rated health (SRH) with the aim of testing the within-group and across-group validity of SRH across nine ethnic groups: non-Latinx White, Mexican, Puerto Rican, Cuban, African American, Afro-Caribbean, Chinese, Filipino, and Vietnamese Americans. In addition, we assess whether acculturation (i.e., nativity, years of US residency, language of interview) and health-related factors (e.g., mental disorder) account for ethnic distinctions in SRH.

DESIGN

Data are from the National Survey of American Life (NSAL) and the National Latino and Asian American Study (NLAAS) (N = 8338). Weighted proportions and means for SRH and chronic conditions are reported. Ordered logistic regression analysis is used to determine ethnic group patterns in SRH.

RESULTS

Despite evidence of within-group validity of SRH for each ethnic group, our results seriously challenge the across-group validity of SRH. For example, Chinese and Vietnamese respondents report lower SRH despite having fewer chronic conditions relative to non-Latinx Whites. Moreover, Mexican Americans report fewer chronic health problems but lower SRH compared to non-Latinx Whites. Acculturation factors (e.g., language of interview) partially explain the Mexican-White difference in SRH. Among Chinese Americans, completing an interview in English is associated with higher SRH relative to those who completed an interview in Chinese.

CONCLUSION

These findings have implications for health disparities research that uses SRH as the dependent measure. Studies that compare the health profiles of diverse ethnic groups should use the SRH measure with caution, as SRH does not align with ethnic patterns of morbidity.

Self-perception of physical health conditions and its association with depression and anxiety among Bangladeshi university students

BACKGROUND

Self-perception of physical health conditions is associated with depression and anxiety. Although some recent studies revealed a high prevalence of depression and anxiety among Bangladeshi university students, no study has yet investigated the link between self-perception of physical health and these common psychological disorders. Therefore, this study aimed to explore the association of self-perception of physical health conditions with depression and anxiety among university students in Dhaka, Bangladesh.

METHODS

A cross-sectional study was conducted between August and November 2017 among 897 undergraduate students of Jahangirnagar University, Dhaka through face-to-face interviews using a semi-structured questionnaire. Chi-square test and binary logistic regression analysis were used to examine the association between the variables.

RESULTS

13.9% of the respondents had poor self-rated health (SRH) and 49.9% had self-rated body image (SRBI) dissatisfaction. 25.6% of the students reported to be overweight/obese whereas 18.7% to be underweight. Poor and moderate SRH was found to be significantly associated with students' depression (adjusted odds ratio [AOR]: 6.700; 95% CI: 3.821-11.749 and AOR: 2.155; 95% CI: 1.582-2.934) and anxiety (AOR: 4.365; 95% CI: 2.599-7.332 and AOR: 1.776; 95% CI: 1.270-2.484). Furthermore, SRBI dissatisfaction, underweight SRBI, overweight/obese SRBI, low blood pressure and hypertension were also significantly linked with students' depression and anxiety.

CONCLUSION

Students dissatisfied with their physical health status had higher chances to suffer from depression and anxiety. The findings of this study would create room for further research and could be used to design a comprehensive health program for young students.

Associations Between Major and Everyday Discrimination and Self-Rated Health Among US Asians and Asian Americans

BACKGROUND

Asians and Asian Americans in the USA have historically and continue to experience everyday and major forms of discrimination. However, much less is known, on a population-level, concerning the relationship between experiences with major discrimination and health outcomes among this racial/ethnic minority group, while also accounting for the daily influence of everyday discrimination. This analysis explores the concurrent association of both forms of discrimination among the Asian population in the USA.

METHODS

Using data from the 2016 National Asian American Survey, a nationally representative sample of Asians from 10 ethnic subgroups, I examined the association between various forms of self-reported encounters with major as well as everyday discrimination-several of which relate to the unique, racialized experiences of Asians-and self-rated health. I ran three weighted logistic regression models examining the individual and concurrent association between major and everyday discrimination and self-rated health, controlling for relevant demographic and acculturation factors.

RESULTS

When assessed in isolation, unit increases in major and everyday discrimination were associated with poorer self-rated health. However, when examined concurrently, only higher levels of encounters with major forms of discrimination were associated with higher odds of poorer self-rated health.

CONCLUSIONS

Although everyday discrimination contributes to poorer health outcomes among Asians, a finding consistent with past research, instances of lifetime major discrimination should be viewed as a more toxic form of discrimination that may more negatively impact their perceived health status. Reducing instances of structural-level discrimination is therefore key toward the prevention of poorer health outcomes among this rapidly growing racial/ethnic minority group.

Predictors of Preventive Health Practices, Chronic Disease Burden and Health Status Among Underserved Bangladeshi Americans in Michigan

The Bangladeshi American community in Michigan is growing rapidly. Little is known about the correlates of health status and preventive health services among Bangladeshi Americans. The purpose of this study was to examine the relationships between demographic factors, preventive health practices, chronic conditions and health status of this population. Data were collected through self-administered surveys during community events in Hamtramck, Michigan and analyzed using descriptive statistics and multiple linear regression. The surveys were completed by 166 Bangladeshi Americans. A majority reported not having an up-to-date physical/dental exams, colorectal, cervical, or breast cancer screening. The length of U.S. residency was associated with cancer screening utilization while employment status was correlated with self-reported health status. Our results demonstrate a need for development and implementation of language-appropriate and cultural interventions to address the unique healthcare needs of this growing population.