Multiple Job Holding, Job Changes, and Associations with Gestational Diabetes and Pregnancy-Related Hypertension in the National Birth Defects Prevention Study.

We used National Birth Defects Prevention Study data to investigate associations between working patterns shortly before and during pregnancy and gestational diabetes and pregnancy-related hypertension. We analyzed working patterns (multiple-job holders, job changers, single-job holders) during the three months before and during pregnancy for 8140 participants who delivered a live-born child without a birth defect. "Multiple-job holders" worked more than one job simultaneously, "job changers" worked more than one job with no overlap, and "single-job holders" (referent) worked one job. We used multivariable logistic regression to estimate associations between working pattern and each outcome, adjusting for maternal age and educational attainment at delivery. We explored effect measure modification by household income, peak weekly working hours, and maternal race/ethnicity. Multiple-job holders had higher odds of gestational diabetes (adjusted odds ratio [aOR]: 1.5; 95% confidence interval [CI]: 1.1-2.1) and pregnancy-related hypertension (aOR: 1.5; 95% CI: 1.0-2.2) compared with single-job holders. Multiple-job holders with a household income of more than 30,000 USD per year, 32-44 peak weekly working hours, and from racial/ethnic minority groups had higher odds of gestational diabetes compared with single-job holders in respective categories. Detailed occupational information is important for studies of occupation and maternal health.

Identifying occupational health inequities in the absence of suitable data: are there inequities in access to adequate bathrooms in US workplaces?

OBJECTIVES: Our research questions are often chosen based on the existence of suitable data for analysis or prior research in the area. For new interdisciplinary research areas, such as occupational health equity, suitable data might not yet exist. In this manuscript, we describe how we approached a research question in the absence of suitable data using the example of identifying inequities in adequate bathrooms in US workplaces. METHODS: We created a conceptual model that hypothesises causal mechanisms for occupational health inequities, and from this model we identified a series of questions that could be answered using separate data sets to better understand inequities in adequate workplace bathrooms. Breaking up the analysis into multiple steps allowed us to use multiple data sources and analysis methods, which helped compensate for limitations in each data set. RESULTS: Using the conceptual model as a guide, we were able to identify some jobs that likely have inadequate bathrooms as well as subpopulations potentially at higher risk for inadequate bathrooms. We also identified specific data gaps by reflecting on the challenges we faced in our multistep analysis. These gaps, which indicated future data collection needs, included difficulty finding data sources for some predictors of inadequate bathrooms that prevented us from fully investigating potential inequities. CONCLUSIONS: We share our conceptual model and our example analysis to motivate researchers to avoid letting availability of data limit the research questions they pursue.

Investigating Employment Quality for Population Health and Health Equity: A Perspective of Power.

Employment quality (EQ) has gained increasing attention as a determinant of health, but the debate among occupational health researchers over the measurement of EQ poses a challenge to advancing the literature. This is especially problematic when the concept is used across social, cultural, and national borders, as EQ is shaped by power dynamics within sociopolitical and economic contexts that are specific to each society. Investigating EQ in context could help develop a clearer understanding as to why EQ is configured in certain ways, how best EQ could be measured, how EQ impacts health, and ultimately how EQ could be improved. In this paper, we propose that attention to social context-and in particular power-may help advance the research on EQ and health. We present an allegory, or a visual description, that articulates the power balance in the employer-worker relation as well as in the sociopolitical context in which the employer-worker relation takes place. We end by proposing specific approaches for occupational health researchers to incorporate a perspective of power in EQ research that may clarify the concept and measurement of EQ. A clearer recognition of EQ as a product of power in social context aligns with the research approach of addressing work as a social structural determinant of health.

What does non-standard employment look like in the United States? An empirical typology of employment quality.

Despite significant interest in the changing nature of employment as a critical social and economic challenge facing society-especially the decline in the so-called Standard Employment Relationship (SER) and rise in more insecure, precarious forms of employment-scholars have struggled to operationalize the multifaceted and heterogeneous nature of contemporary worker-employer relationships within empirical analyses. Here we investigate the character and distribution of employment relationships in the U.S., drawing on a representative sample of wage-earners and self-employed from the General Social Survey (2002 - 2018). We use the multidimensional construct of employment quality (EQ), which includes both contractual (e.g., wages, contract type) and relational (e.g., employee representation and participation) aspects of employment. We further employ a typological measurement approach, using latent class analysis, to explicitly examine how the multiple aspects of employment cluster together in modern labor markets. We present eight distinct employment types in the U.S., including one resembling the historical conception of the SER model (24% of the total workforce), and others representing various constellations of favorable and adverse employment features. These employment types are unevenly distributed across society, in terms of who works these jobs and where they are found in the labor market. Importantly, women, those with lower education, and younger workers are more likely to be in precarious forms of employment. More generally, our typology reveals limitations associated with binary conceptions of standard vs. non-standard employment, or insider-outsider dichotomies envisioned within dual labor market theories.

Poor-quality employment and health: How a welfare regime typology with a gender lens Illuminates a different work-health relationship for men and women.

In the growing literature on employment quality and health, poor quality of employment is generally associated with poor health. However, this association may not be uniform for men and women if unpaid caregiving labor is taken into consideration. How paid and unpaid labor is performed varies across societies because of differences in both state support for families and labor market penalties for women. Applying a gender lens to a welfare regime typology, we investigated the relationship between poor-quality employment and poor health for men and women. For each of five welfare regime types, we hypothesized if men or women would be more strongly affected by poor-quality employment based on the regime's family support policies and labor practices. Our analysis of 18 countries using the 2015 European and American Working Conditions Surveys data largely supported our hypotheses. In countries that support traditional gender roles with high state expenditure and have labor markets that penalize women, the association between poor-quality employment and health was stronger for men. The association was stronger for women in countries that rely on women to provide unpaid caregiving without substantial state support. In countries with apparently gender-neutral expectations for both paid work and unpaid caregiving work, no difference was found between men and women in the association of poor-quality employment with poor health. We discuss the importance of institutional perspectives to understand work as a gendered experience that impacts health. We suggest more comprehensive welfare regime typologies that recognize women both as caregivers and workers. Expanding the scope of research on work and health to include this integrated view of life could make a stride toward gender health equity.

Sociopolitical values and social institutions: Studying work and health equity through the lens of political economy.

Work contributes to health and health inequity in complex ways. The traditional exposure-disease framework used in occupational health research is not equipped to address societal contexts in which work is embedded. The political economy approach to public health directly examines macro-level societal contexts, but the attention to work in this literature is mostly on unemployment. As a result, we have limited understanding of work as a social determinant of health and health inequity. To fill this gap, we propose a conceptual framework that facilitates research on work, health, and health equity in institutional contexts. As an illustration of different social institutions creating different work-related health, we present characteristics of work and health in the United States and the European Union using the 2015 Working Conditions Surveys data. The results also highlight limitations of the traditional exposure-disease approach used in occupational health research. Applying the proposed framework, we discuss how work and health could be investigated from a broader perspective that involves multiple social institutions and the sociopolitical values that underpin them. Such investigations would inform policy interventions that are congruent with existing social institutions and thus have the potential for being adopted and effective. Further, we clarify the role of research in generating knowledge that would contribute to institutional change in support of population health and health equity.

Comparing self-reported and O*NET-based assessments of job control as predictors of self-rated health for non-Hispanic whites and racial/ethnic minorities.

The Occupational Information Network (O*NET) database has been used as a valuable source of occupational exposure information. Although good agreement between O*NET and self-reported measures has been reported, little attention has been paid to O*NET's utility in racially/ethnically diverse samples. Because O*NET offers job-level information, if different racial groups have different experiences under the same job title, O*NET measure would introduce systematic measurement error. Using the General Social Survey data (n = 7,041; 437 occupations), we compared self-report and O*NET-derived measures of job control in their associations with self-rated health (SRH) for non-Hispanic whites and racial/ethnic minorities. The correlation between self-report and O*NET job control measures were moderate for all gender-race groups (Pearson's r = .26 - .40). However, the logistic regression analysis showed that the association between O*NET job control and SRH was markedly weaker for racial/ethnic minorities than for non-Hispanic whites. The self-reported job control was associated with SRH in similar magnitudes for both groups, which precluded the possibility that job control was relevant only for non-Hispanic whites. O*NET may not capture job experience for racial/ethnic minorities, and thus its utility depends on the racial/ethnic composition of the sample.

Work Hours and Cognitive Function: The Multi-Ethnic Study of Atherosclerosis.

BACKGROUND: Cognitive impairment is a public health burden. Our objective was to investigate associations between work hours and cognitive function. METHODS: Multi-Ethnic Study of Atherosclerosis (MESA) participants (n = 2,497; 50.7% men; age range 44-84 years) reported hours per week worked in all jobs in Exams 1 (2000-2002), 2 (2002-2004), 3 (2004-2005), and 5 (2010-2011). Cognitive function was assessed (Exam 5) using the Cognitive Abilities Screening Instrument (version 2), a measure of global cognitive functioning; the Digit Symbol Coding, a measure of processing speed; and the Digit Span test, a measure of attention and working memory. We used a prospective approach and linear regression to assess associations for every 10 hours of work. RESULTS: Among all participants, associations of hours worked with cognitive function of any type were not statistically significant. In occupation-stratified analyses (interaction p = 0.051), longer work hours were associated with poorer global cognitive function among Sales/Office and blue-collar workers, after adjustment for age, sex, physical activity, body mass index, race/ethnicity, educational level, annual income, history of heart attack, diabetes, apolipoprotein E-epsilon 4 allele (ApoE4) status, birth-place, number of years in the United States, language spoken at MESA Exam 1, and work hours at Exam 5 (ß = -0.55, 95% CI = -0.99, -0.09) and (ß = -0.80, -1.51, -0.09), respectively. In occupation-stratified analyses (interaction p = 0.040), we also observed an inverse association with processing speed among blue-collar workers (adjusted ß = -0.80, -1.52, -0.07). Sex, race/ethnicity, and ApoE4 did not significantly modify associations between work hours and cognitive function. CONCLUSION: Weak inverse associations were observed between work hours and cognitive function among Sales/Office and blue-collar workers.

Life-course and population health perspectives to fill gaps in migrant health research.

This article highlights categories and dichotomies used in the study of the health of migrants, including migrant motivation, migrant type, pre- and post-migration time periods, and health as biomedically or socially determined. The authors suggest that the full spectrum of migrants and migration be considered more thoroughly in order to improve our understanding of migrant health. This paper challenges simple conceptions of migration, mobility, and migrant experience. To fill gaps in knowledge left by these conceptions, researchers must recognize the decisions migrants make as a process which plays out both over time (in migrant life-courses) and also across personal, national, and international contexts which connect the individual to larger structures and phenomena. The authors argue that, in this reality, research questions related to migrant health are best addressed using life-course perspectives which recognize health as a continuum of socially-constructed statuses.

Job complexity and hazardous working conditions: How do they explain educational gradient in mortality?

Although education's protective effects on health have been well recognized, specific mechanisms through which higher education is associated with better health are still debated. Occupation, although strongly shaped by education, has rarely been examined as a mediating mechanism. Education attainment is patterned by race in the United States, and the same education does not lead to similar occupations for members of different racial/ethnic groups. Therefore, examining the link from education to jobs to mortality can illuminate potential mechanisms that create racial health disparities. Using a large U.S. national cohort of Black and White men and women, we examined if 2 occupational characteristics, substantive complexity of work and hazardous working conditions, mediate the effect of education on mortality. Data on occupation were collected between 2011 and 2013, and mortality follow-up data up to March 2018 were included in this analysis. The race- and gender-stratified analyses showed that among White men, the association between higher education and lower mortality was mediated by lower hazard on the job. Among Black men and White women, higher complexity of work explained the association between higher education and lower mortality. Among Black women, neither job characteristic mediated the association. These results suggest that occupational characteristics help explain health inequalities not only by education but also by race and gender. Investigating occupation explicitly in the causal chain of health disparities will help us better understand the mechanism of and potential solutions for health inequalities. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Evaluating Employment Quality as a Determinant of Health in a Changing Labor Market.

The shifting nature of employment in recent decades has not been adequately examined from a public health perspective. To that end, traditional models of work and health research need to be expanded to include the relational and contractual aspects of employment that also affect health. We examine the association of three health outcomes with different types of employment in the contemporary U.S. labor market, as measured by a multidimensional construct of employment quality (EQ) derived from latent class analysis. We find that EQ is associated with self-rated health, mental health, and occupational injury. Further, we explore three proposed mediating mechanisms of the EQ-health relationship (material deprivation, employment-related stressors, and occupational risk factors), and find each to be supported by these data.

The Role of Occupation in Explaining Cognitive Functioning in Later Life: Education and Occupational Complexity in a U.S. National Sample of Black and White Men and Women.

OBJECTIVE: Positive associations between education and late-life cognition have been widely reported. This study examines whether occupational complexity mediates the relationship between education and late-life cognition, and whether the magnitude of mediation differs by race, gender, or education level. METHODS: Data were from a population-based cohort of non-Hispanic Blacks and Whites aged ≥45 years (n = 7,357). Education was categorized as less than high school, high school, some college, and college or higher. Using linear regression, we estimated the direct effect of each successive increase in education on cognitive functioning and indirect effects via substantive complexity of work. RESULTS: Occupational complexity significantly mediated 11%-22% of the cognitive gain associated with higher levels of education. The pattern of mediation varied between White men and all other race-gender groups: among White men, the higher the education, the greater the mediation effect by occupational complexity. Among Black men and women of both races, the higher the education, the smaller the mediation effect. DISCUSSION: Higher levels of education may provide opportunity for intellectually engaging environments throughout adulthood in the form of complex work, which may protect late-life cognition. However, this protective effect of occupational complexity may not occur equally across race-gender subgroups.

Occupational Physical Activity and Coronary Heart Disease in Women's Health Initiative Observational Study.

BACKGROUND: Women comprise nearly half of the labor force in our society, but the impact of the occupational psychical activity on women's heart health in later life was unclear. We conducted a case-cohort study to assess the association of occupational physical activity (OPA), alone and jointly with leisure-time physical activity (LTPA) and risk of coronary heart disease (CHD). METHODS: We included women enrolled in Women's Health Initiative Observational Study who provided an occupational history at baseline and were followed until 2013 for the first occurrence of myocardial infarction or death from CHD (mean age ± SD = 63.4 ± 7.2). A total of 5,243 women free of CHD at baseline were randomly selected into a subcohort and 3,421 CHD events were adjudicated during follow-up. Through linkage of Standard Occupational Classification codes to the Occupational Information Network, we assessed cumulative and most recent exposure of OPA. LTPA was assessed through Women's Health Initiative's physical activity questionnaire. Weighted Cox proportional hazard models were used to evaluate CHD risk. RESULTS: After adjustment for demographic and socioeconomic factors, levels of OPA were not associated with CHD risk. Compared with women with low OPA and high LTPA, women with moderate to high cumulative OPA and low LTPA had relative high CHD risk (hazard ratio [HR]: 1.54, 95% confidence interval [CI]: 1.26, 1.88 for moderate OPA and HR: 1.46. 95% CI: 1.20, 1.78 for high OPA). DISCUSSION: Results from this study suggest no overall association between lifetime OPA and CHD risk in women, but the impact of OPA varies by LTPA levels.

Selected occupational characteristics and change in leukocyte telomere length over 10 years: The Multi-Ethnic Study of Atherosclerosis (MESA).

Telomere length (TL) is considered as a marker of cell senescence, but factors influencing the rate of TL attrition are not well understood. While one previous study reported the association of occupation and TL, many subsequent studies have failed to find the association. This may be due to heterogeneity within the samples and cross-sectional designs. This longitudinal study examines two occupational characteristics, occupational complexity and hazardous conditions, as predictors of TL attrition in gender- and race/ethnicity-stratified analysis. Leukocyte TL (expressed as T/S ratio) was measured twice over a 10-year period in a multi-racial sample (n = 914). Linear mixed effect models were used to estimate TL attrition associated with occupational complexity and hazardous conditions. Analysis was stratified by gender and race/ethnicity (white, African American, and Latino) and controlled for baseline age, baseline TL, and time since baseline. Higher occupational complexity was associated with slower rates of TL attrition only among white men. Hazardous conditions were not associated with TL attrition for any gender-and-race/ethnicity stratified group. Occupational complexity may influence TL attrition, but the different findings for white men and other groups suggest that a more comprehensive framework is needed to better understand the potential link between occupational characteristics and biological aging.

Work as an Inclusive Part of Population Health Inequities Research and Prevention.

Despite its inclusion in models of social and ecological determinants of health, work has not been explored in most health inequity research in the United States. Leaving work out of public health inequities research creates a blind spot in our understanding of how inequities are created and impedes our progress toward health equity. We first describe why work is vital to our understanding of observed societal-level health inequities. Next, we outline challenges to incorporating work in the study of health inequities, including (1) the complexity of work as a concept; (2) work's overlap with socioeconomic position, race, ethnicity, and gender; (3) the development of a parallel line of inquiry into occupational health inequities; and (4) the dearth of precise data with which to explore the relationships between work and health status. Finally, we summarize opportunities for advancing health equity and monitoring progress that could be achieved if researchers and practitioners more robustly include work in their efforts to understand and address health inequities.

Exploring associations between state education initiatives and teachers' sleep: A social-ecological approach.

Social policies that are not specifically aimed at impacting health can still have health consequences. State education reforms, such as standardized testing and stringent accountability for schools and teachers, may affect teacher health by changing their working conditions. This study explores associations between state education initiatives and teachers' sleep, an important predictor of productivity and chronic health conditions. The Behavioral Risk Factor Surveillance System 2013 and 2014 data sets provided sleep and demographic data for 7836 teachers in 29 states in the United States. We linked the teacher data to state education reform data from the U.S. Department of Education. Logistic regression was used to estimate odds ratios (ORs) of reporting inadequate sleep (i.e., <6.5 h and <5.5 h) associated with state education policies after adjusting for demographic characteristics. Teachers had significantly higher odds of reporting inadequate sleep if their state financed professional development, sanctioned or rewarded schools based on student performance, and regulated classroom materials for state-wide common core standards (ORs ranging from 1.25 to 1.84). More strictly defined inadequate sleep (<5.5 h) had generally higher ORs than less strict definition (<6.5 h). The Race-to-the-Top award, a US federal grant designed to encourage states to implement reforms through regulations and legislations, was also associated with inadequate sleep (OR = 1.41, p < 0.01, for <6.5 h; OR = 1.55, p < 0.01, for <5.5 h). Although this exploratory study did not have district- and school-level implementation data, the results suggest that some state education policies may have impacts on teacher sleep. Consequences of education reform for teacher health deserve more attention.

Participation in a US community-based cardiovascular health study: investigating nonrandom selection effects related to employment, perceived stress, work-related stress, and family caregiving.

PURPOSE: Participation in health studies may be inversely associated with employment and stress. We investigated whether employment, perceived stress, work-related stress, and family caregiving were related to participation in a longitudinal US community-based health study of black and white men and women aged ≥45 years. METHODS: Prevalence ratios and confidence intervals were estimated for completion of the second stage (S2) of a two-stage enrollment process by employment (status, type), and stress (perceived stress, work-related stress, caregiving), adjusting for age, sex, race, region, income, and education. Eligibility and consent for a follow-up occupational survey were similarly evaluated. RESULTS: Wage- but not self-employed participants were less likely than the unemployed to complete S2. Among the employed, S2 completion did not vary by stress; however, family caregivers with a short time burden of care (<2 hour/d) were more likely to complete S2, compared to noncaregivers. Eligibility and participation in the follow-up occupational survey were higher among those employed (vs. unemployed) at enrollment but were not associated with enrollment stress levels. CONCLUSIONS: Limited evidence of selection bias was seen by employment and stress within a large US community-based cohort, but findings suggest the need for enrollment procedures to consider possible barriers to participation among wage-employed individuals.