Employment status, unemployment duration, and health-related metrics among US adults of prime working age: Behavioral Risk Factor Surveillance System, 2018-2019

Diabetes and Financial Well-Being: Differential Hardship Among Vulnerable Populations

PURPOSE

The purpose of the study was to examine financial well-being among a diverse population of individuals with and without diabetes.

METHODS

Data from the Understanding America Survey, a nationally representative, longitudinal panel, were utilized to identify adults with self-reported diabetes diagnoses between 2014 and 2020. We used longitudinal mixed effects regression models to assess the association between diabetes and financial well-being score (FWBS) among racial and ethnic population subgroups. Models included sex, age, marital status, household size, income, education, race/ethnicity, insurance, body mass index, employment, and health insurance, incorporating individual- and household-level fixed effects. Racial and ethnic differentials were captured using group-condition interactions.

RESULTS

Black participants (17.06%) had the highest prevalence of diabetes, followed by White participants (12.2%), "other" racial groups (10.7%), and Hispanic participants (10.0%). In contrast, White participants (M = 67.66, SD = 22.63) and other racial groups (M = 67.99, SD = 18.45) had the highest FWBSs, followed by Hispanic participants (M = 59.31, SD = 22.78) and Black participants (M = 55.86, SD = 25.67). Compared to White participants, Black participants (β = -5.49, SE = 0.71) and Hispanic participants (β = -2.06, SE = 0.63) have significantly lower FWBSs. Compared to males, females (β = -3.25, SE = 0.41) had lower FWBSs among individuals with diabetes. FWBSs of individuals with diabetes was 2.71 points lower (SE = 0.52), on average, than those without diabetes. Education, household size, age, marital status, and income were also significantly associated with FWBSs.

CONCLUSIONS

Findings suggest potential disparities in the financial ramifications of diabetes among socially marginalized populations.

Social Determinants and Perinatal Hardships During the COVID-19 Pandemic

Background: This study examined perinatal experiences of pandemic-related hardships and disparities by race/ethnicity, income, insurance type at childbirth, and urban/rural residency. Materials and Methods: We used cross-sectional survey data from the 2020 Pregnancy Risk Assessment Monitoring System COVID-19 supplement in 26 states, the District of Columbia, and New York City to explore: (1) job loss or cut work hours/pay, (2) having to move/relocate or becoming homeless, (3) problems paying the rent, mortgage, or bills, or (4) worries that food would run out. We estimated the prevalence of outcomes overall and by race/ethnicity, income, insurance, and urban/rural residency. We used weighted multivariable logistic regression models to calculate adjusted predicted probabilities. Results: Due to the COVID-19 pandemic, 31.9% of respondents reported losing their job or having a cut in work hours or pay, 11.2% of respondents had to move/relocate or became homeless, 21.8% had problems paying the rent, mortgage, or bills, and 16.86% reported worries that food would run out. Compared to overall, rates of all hardships were higher among respondents who were non-Hispanic Black, Hispanic, uninsured, or Medicaid insured. The adjusted predicted probability of employment instability, financial hardships, and food insecurity was significantly higher among non-Hispanic Black respondents and respondents who were uninsured. The adjusted predicted probability of all hardships was significantly higher among respondents with Medicaid. Conclusions: Black, Medicaid-insured, and uninsured respondents were particularly vulnerable to perinatal hardships during COVID-19. Our results suggest a need to alleviate the overall and disparate consequences of hardships for individuals who gave birth during the COVID-19 pandemic.

Assessing the role of social determinants of health in health disparities: The need for data on work

BACKGROUND

Work is a key social determinant of health. Without the collection of work-related information in public health data systems, the role of social determinants in creating and reinforcing health disparities cannot be fully assessed.

METHODS

The Centers for Disease Control and Prevention (CDC) maintains or supports a number of public health surveillance and health monitoring systems, including surveys, case-based disease and exposure systems, vital status records, and administrative data systems. We evaluated a convenience sample of these systems for inclusion of information in three work-related domains: employment status, industry and occupation, and working conditions.

RESULTS

While 12 of 39 data systems were identified as collecting work-related data, this information was often minimal (e.g., only employment status), restricted to a subset of respondents, or only gathered periodically. Information on working conditions was particularly sparse.

CONCLUSION

Historically, the limited and inconsistent collection of work-related information in public health data systems has hindered understanding of the role work plays in health disparities. Current CDC data modernization efforts present opportunities to enhance the identification and mitigation of health disparities by prioritizing inclusion of an expanded set of work-related data elements.

A mixed-methods study of the awareness and functionality of sexual and reproductive health services among persons with disability in Ghana

BACKGROUND

Persons with disabilities (PwDs) face barriers in accessing sexual and reproductive health (SRH) services due to lack of knowledge and awareness, stigma and discrimination, and inadequate service provision. This study aimed to examine the determinants of SRH knowledge and awareness among PwDs in Ghana, and to explore their perceptions of the functionality of SRH services.

METHODS

A sequential explanatory mixed-methods study design was used to collect and analyse quantitative (n = 402) and qualitative (n = 37) data from PwDs in two districts in Ghana. Quantitative data were analysed using descriptive and inferential statistics, while qualitative data was analysed thematically.

RESULTS

Most of the participants had high awareness of SRH (94.3%), sexually transmitted infections (STIs) (92.5%) and HIV/AIDS (97.0%). Employment status was positively associated with SRH awareness [aOR = 1.62; 95% CI = 1.02, 2.59]. Disability type was a significant predictor of STI [aOR = 2.02; 95% CI = 1.39, 2.94] and HIV/AIDS [aOR = 2.32; 95% CI = 1.21, 4.44] awareness, with the visually impaired having higher odds than the physically disabled. Age group was also a significant predictor of STI awareness, with older respondents having higher odds than younger ones [aOR = 1.76; CI = 1.01,3.05 for 30-39 years; aOR = 2.48; CI = 1.22, 5.05 for 40-49 years]. The qualitative findings revealed four main themes: conceptualisation of SRH, active engagement in SRH information seeking, tensions between knowledge and religious beliefs and perceived utility of SRH services.

CONCLUSION

Despite the high levels of SRH knowledge and awareness among PwDs, there are significant gaps and challenges related to disability type, age group, misconceptions, beliefs, and service non-functionality that limit the utility of SRH services. The findings call for tailored education to reduce misconceptions and put in pragmatic steps to deliver quality SRH services and information to PwDs. Further research is needed to assess the sexual lives of PwDs and explore the perspectives of all relevant stakeholders, including service providers and policymakers on how to enhance SRH outcomes for PwDs in Ghana.

Use of outpatient healthcare services before and after the onset of unemployment: A register-based propensity score matched study from Finland

AIMS

The aim was to examine the use of outpatient healthcare services in different sectors of healthcare before and after the onset of unemployment and to study whether job loss affected the use of these services.

METHODS

Longitudinal individual-level register-based data was utilized on all individuals living in the City of Oulu, Finland, who became unemployed in 2017 (N = 1,999), their propensity matched controls (N = 1,999), and unmatched controls (N = 58,459) in a quasi-experimental design. Use of outpatient healthcare services was examined in one-month periods from 12 months before to 12 months after the onset of unemployment. Several socio-demographic factors, along with sickness and employment histories, were used for matching. Difference-in-differences analysis was used to measure the differences in the use of outpatient healthcare services between the unemployed and their matched controls.

RESULTS

The use of health services decreased significantly after the onset of unemployment. This was due to a decrease in the use of occupational health services. No change related to job loss was observed in the use of public or private healthcare services. The number of healthcare visits increased again after the unemployment ended. Difference-in-differences analyses showed that compared to propensity score matched controls, becoming unemployed reduced the use of health services.

CONCLUSIONS

When access to occupational healthcare services ceases, other health services do not appear to fill the gap among those who become unemployed. Adequate healthcare services should be guaranteed to all population groups equally based on need, irrespective of the labour market status.

Factors associated with food insecurity among the chronically ill population during the COVID-19 pandemic in the United States

Introduction

Little is known about food insecurity among Americans with chronic diseases, one of the vulnerable groups in health care. Factors influencing food insecurity among this population group are especially poorly understood.

Methods

Using data from the COVID Impact Survey, this cross-sectional study sought to examine food insecurity among adults with chronic diseases in the United States and to identify factors associated with their risks for food insecurity during the COVID-19 pandemic.

Results

Nearly 28% of the national and 32% of the regional samples from the COVID Impact Survey were at risk for food insecurity. The logistic regressions show that chronically ill US adults with one of the following characteristics have higher odds of being at risk for food insecurity: younger than 60 years, having financial stress, unemployed, having received food from a food pantry, without health insurance, having a household income lower than $100,000, and without a college degree.

Discussion

Targeted policies and programs are warranted to address underlying determinants of food insecurity that adults with chronic illnesses experience.

Association between reasons for not working and reporting of major depression and anxiety symptoms among U.S. adult population during the COVID-19 pandemic

COVID-19 continues to take a large toll on the mental health of the not working population, particularly of those who were unable to work. This study, using the Household Pulse Survey, estimated the association between reasons for not working and major depression and anxiety symptoms (MDAS). The lowest MDAS was reported by retirees. Individuals who were unable to work because of transportation problems, layoffs, COVID-19 concerns, and sickness or disability reported the highest MDAS. Mediation analysis showed that the direct and indirect effects of reasons for not working were much higher for those individuals who were unable to work than for individuals who were working or decided not to work.

Expanding the Focus of Occupational Safety and Health: Lessons from a Series of Linked Scientific Meetings

There is widespread recognition that the world of work is changing, and agreement is growing that the occupational safety and health (OSH) field must change to contribute to the protection of workers now and in the future. Discourse on the evolution of OSH has been active for many decades, but formalized support of an expanded focus for OSH has greatly increased over the past 20 years. Development of approaches such as the National Institute for Occupational Safety and Health (NIOSH)'s Total Worker Health® concept and the World Health Organization (WHO)'s Healthy Workplace Framework are concrete examples of how OSH can incorporate a new focus with a wider view. In 2019, NIOSH initiated a multi-year effort to explore an expanded focus for OSH. This paper is a report on the outputs of a three-year cooperative agreement between NIOSH and The University of Texas School of Public Health, which led to subject matter expert workshops in 2020 and an international conference of global interest groups in 2021. This article traces the background of these meetings and identifies and assesses the lessons learned. It also reviews ten thematic topics that emerged from the meetings: worker health inequalities; training new OSH professionals; future OSH research and practice; tools to measure well-being of workers; psychosocial hazards and adverse mental health effects; skilling, upskilling and improving job quality; socioeconomic influences; climate change; COVID-19 pandemic influences; and strategic foresight. Cross-cutting these themes is the need for systems and transdisciplinary thinking and operationalization of the concept of well-being to prepare the OSH field for the work of the future.

A Bibliometric Analysis on Research Regarding Residential Segregation and Health Based on CiteSpace

Considerable scholarly attention has been directed to the adverse health effects caused by residential segregation. We aimed to visualize the state-of-the-art residential segregation and health research to provide a reference for follow-up studies. Employing the CiteSpace software, we uncovered popular themes, research hotspots, and frontiers based on an analysis of 1211 English-language publications, including articles and reviews retrieved from the Web of Science Core Collection database from 1998 to 2022. The results revealed: (1) The Social Science & Medicine journal has published the most studies. Roland J. Thorpe, Thomas A. LaVeist, Darrell J. Gaskin, David R. Williams, and others are the leading scholars in residential segregation and health research. The University of Michigan, Columbia University, Harvard University, the Johns Hopkins School of Public Health, and the University of North Carolina play the most important role in current research. The U.S. is the main publishing country with significant academic influence. (2) Structural racism, COVID-19, mortality, multilevel modelling, and environmental justice are the top five topic clusters. (3) The research frontier of residential segregation and health has significantly shifted from focusing on community, poverty, infant mortality, and social class to residential environmental exposure, structural racism, and health care. We recommend strengthening comparative research on the health-related effects of residential segregation on minority groups in different socio-economic and cultural contexts.