The Built Environment and Health Research Group is looking to hire a Post-Doc

The Built Environment and Health Research Group (BEH.Columbia.edu) is looking for candidates to fill a post-doctoral fellow position at the Department of Epidemiology at the Columbia University, Mailman School of Public Health.

The position will be at Columbia University but they are a multi-disciplinary team of faculty at the Mailman School, the Columbia University School of Social Work, Drexel University, American University and the University of Washington.  Strong candidates will have a Doctorate and experience and interest in social epidemiology, spatial epidemiology, neighborhood health research, GIS and/or urban health.  Post-Docs will be able to collaborate on on-going and developing BEH projects and to develop their own research projects.  On-going and developing BEH projects focus on; 1) the links between neighborhood built environments and obesity, physical activity, pedestrian safety, asthma, cancer, and cardio vascular disease, and 2) developing new methods for characterizing neighborhood environments.

Please contact Andrew Rundle at [email protected]

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Business travel and behavioral and mental health

In new work, Rundle and colleagues find that extensive business travel is associated with poorer behavioral and mental health – smoking, sedentary behavior, trouble sleeping, alcohol dependence, depression and anxiety.  The paper was recently published online at the Journal of Occupational and Environmental Medicine.   This work follows up a prior paper showing that higher BMI, obesity prevalence and poor self-rated health were associated with extensive business travel.

Even with the increasing sophistication of remote presence technologies such as conference calls and video chat, business travel is a prominent feature of many occupations and is likely to remain so.  Although business travel can be seen as a job benefit and can lead to occupational advancement, there is a growing body of literature showing that business health is associated chronic disease health risks.

Rundle and colleagues found that mental and behavioral health declined with increasing nights spent away from home for business travel.  Compared to employees traveling 1-6 nights/month for work, employees who traveled 14 or nights per month were significantly more likely to: smoke, report trouble sleeping, be sedentary and score above clinical thresholds for alcohol dependence, and mild or worse anxiety and depression symptoms.  This cross-sectional study analyzed de-identified electronic medical record data for ~18,000 employed individuals who had taken part in preventative health screenings offered by EHE International, Inc.

These results are consistent with a World Bank study of its employees that found, compared to their non-traveling colleagues, employees who traveled for work had significantly higher medical insurance claims for all health conditions reviewed. The highest increase in health related claims was for psychological disorders, particularly the sub-category of stress-related disorders.  Rundle and colleagues discus the need for the field of occupational travel medicine to bring more focus to the behavioral and mental health consequences of business travel and for employers to provide programs to help employees manage stress and maintain health while traveling for work.

 

 

 

 

Posted in Anxiety, Depression, Health Disparities, Mental Health, Occupation, Physical Activity, Smoking, Stress | Leave a comment

Hospital Financial Distress and Quality of Care

Catherine Richards, an alum of the Department of Epi’s Masters and Doctoral programs, and colleagues recently published an article in JAMA Surgery showing that women treated at hospitals experiencing financial distress were significantly less likely to receive immediate breast reconstruction surgery after mastectomy for the treatment of Ductal Cancer in Situ (DCIS).

Breast reconstruction surgery immediately after mastectomy is associated with long-term benefits, such as increased ratings of self-esteem, body image, and sexual functioning, as well as decreased levels of anxiety and depression.  However in the sample of patients studied, only 41% of women received an immediate breast construction after a mastectomy.  A hospital experiencing financial distress may reduce the services it offers, particularly unprofitable services, or encourage physicians to make decisions based on cost. Hospitals can bring in more revenue by prioritizing and performing surgical procedures that are more profitable than breast reconstruction surgery.  The researchers found that compared to treatment at a hospital experiencing no or low financial distress, women treated at a hospital experiencing medium levels of financial distress had 24% lower odds of receiving an immediate reconstruction and women treated at a hospital experiencing high levels of financial distress had 21% lower odds of receiving an immediate reconstruction.

The researchers studied patient treatment data from Nationwide Inpatient Sample (NIS) for 5,760 women older than 18 years with DCIS who underwent mastectomy in 2008-2012.  The NIS data were linked to data on hospital-level characteristics from the Healthcare Cost Report Information System, county-level socioeconomic data from the US Census Bureau, and cancer center data from the National Cancer Institute and National Comprehensive Cancer Network.  In addition to the association with hospital financial distress, the researchers found that treatment at teaching hospitals, designated cancer centers and private hospitals was associated with higher probability of women receiving immediate reconstructive surgery.  Patients who were older, had public or self-pay insurance and were Black, Hispanic or Asian were less likely to receive immediate reconstructive surgery.

 

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Measuring Neighborhood Physical Disorder: Man on the Street verses Google Street View

Following is a post by Steve Mooney on a recently published paper.  Dr. Mooney is an alum of the Doctoral Program in Epidemiology and the Social Epi Cluster.

We’ve done a lot with Street View at the Built Environment and Health Research Group, and we think the CANVAS application we developed to help teams do reliable and efficient virtual audits works pretty well.  But we never really knew what we might be missing by not being on the street in person.

Fortunately, we stumbled across an opportunity to investigate what we might be missing.  It happens that our friends at the Detroit Neighborhood Health Study (DNHS) had conducted an in-person systematic audit of Detroit streets only one year prior to when Google captured the imagery that we’d audited on Street View, and the DNHS team had constructed a physical disorder measure from their work.

So we took a look at how their measure aligned with ours, and together, we and the DNHS team recently wrote a paper on what we found. Spolier alert: both methods showed pretty similar spatial patterns of disorder — the final measures were significantly positively correlated at census block centroids (r=0.52), identified the same general regions as highly disordered (see attached image) and displayed comparable leave-one-out cross-validation accuracy.

But the two methods didn’t take the same amount of auditor time – the virtual audit required about 3% of the time of the in-person audit, largely because the virtual audit was able to take a more diffuse sample of the streets because travel time between segments was not a factor in developing an audit sample.

There were a number of other differences between the audit designs, including that the CANVAS audit included more disorder indicators and the DNHS audit aggregated street-level measures to create neighborhood area measures before interpolating.  So it wasn’t a completely apples-to-apples comparison and the 97% of auditor time saved might not apply for other audit contexts.  Nonetheless, virtual audits do appear to permit comparable validity with more diffuse samples.

Ultimately, we concluded that the virtual audit-based physical disorder measure could substitute for the in-person one with little to no loss of precision.  Jackelyn Hwang wrote a thoughtful commentary on our paper and on technological innovation in neighborhood research more generally, and we responded to her thoughts.

 

 

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Leaving racism behind: residential migration and Black-White health disparities

Cluster member Sarah McKetta, working with Lisa Bates, Mark Hatzenbuehler, Bruce Link, Charissa Pratt, and Katherine Keyes, recently published research regarding state-level racism, residential mobility, and Black-White health disparities.

Studies consistently demonstrate that among racial minorities, living in a more racist place is associated with higher levels of illness than living in a less racist place. There are competing theories for why that is the case. One theory is called “social causation,” and posits that racism itself is toxic to health, so living in a racist environment creates poor health directly. A competing theory is called “social selection,” and posits that people who are in better health will move away from more racist environments, effectively leaving behind people who may be sicker or more prone to illness.

State-level racism measured using number of racially-charged Google search terms. Red = highest quartile (most racist); orange = middle-high quartile; yellow = middle-low quartile; green = lowest quartile (least racist)

Using the Panel Study on Income Dynamics, a nationally representative, longitudinal survey of households in the United States, this study attempted to understand the relative contribution of selection vs. causation in determining Black-White health disparities in relation to area-level racism, looking specifically at self-rated health as the outcome of interest. Of note, this paper used a relatively novel measure for racism, a state-level aggregation of Google searches for racial slurs (you can read more about the measure here, here, and here). Using this measure, states were divided into four groups, from low to high, based on their levels of racial animus as measured by Google searches.

The authors showed that overall Blacks had about a 50% higher risk of poor self-rated health than Whites, that living in a state with more racism was associated with poorer health among both Blacks and Whites, and that Blacks were more likely to live in states that scored high on this measure of racial animosity. However, it is possible that these associations could be explained by either selection or causation.

To examine the causation theory, they looked to see if, among people who never moved and had baseline good health, living in racist areas was predictive of developing poor health among Blacks but not Whites. This association was not present, in part because so many people moved at least once, so the authors likely had too few study subjects to detect a difference in health. To examine the selection theory, they looked to see if being healthier at baseline predicted moving out of state, and, specifically, if it predicted moving to a less racist state, particularly among Blacks. They found that, among people who move, better health at baseline was associated with moving out of state, and Blacks in good health tended to move to less racist places.

In sum, this paper demonstrated that selection factors rather than causation may be a more important explanation for these Black-White health disparities.  However, the authors believe that neither selection nor causation factors sufficiently explained the magnitude of health disparities between Blacks and Whites. Of the people who moved, 80% of them stayed in the same state, and very few people lived in the states with the lowest level of racial animus. So neither selection nor causation factors alone can sufficiently explain the 50% higher risk of poor health among Blacks compared to Whites.

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Do racial patterns in psychological distress shed light on the Black-White depression paradox?

Black–White distress prevalence ratios with 95% confidence intervals (where estimable). CES-D Center for Epidemiologic Studies—depression, PHQ Patient Health Questionnaire, K6 Kessler 6

Former Cluster doctoral student David Barnes, now with the Icahn School of Medicine at Mount Sinai, and current faculty member Lisa Bates recently published a systematic review in the journal Social Psychiatry and Psychiatric Epidemiology investigating racial patterns in psychological distress and depression. Studies in the U.S. find a consistent “paradox” by which psychiatric outcomes such as major depressive disorder (MDD) are less prevalent among Blacks relative to Whites, despite greater exposure to social and economic stressors and worse physical health outcomes.

Barnes and Bates conducted a systematic review of research papers estimating the prevalence of MDD and papers estimating levels of psychological distress in Blacks and Whites in the U.S. Their review found consistently higher levels of psychological distress among Blacks than Whites which supports the existence of a “double paradox”.  The first paradox, from the perspective of the social stress paradigm, is that despite having a disadvantaged social status in the US, Blacks have a lower prevalence of major depression than Whites. The second paradox is that Black–White comparisons of distress are discordant with Black–White comparisons of major depression despite evidence in the broader literature of a strong positive association between major depression and distress.

Abundant theories have been proposed in the literature to explain the lower prevalence of major depression in Blacks compared with Whites, and of those tested, none has been empirically supported. Nevertheless, to succeed these theories should also account for Blacks’ higher levels of distress levels, which they do not do. For instance, theories positing that ostensibly protective factors against depression (e.g., religiosity) that are also more prevalent in Blacks than Whites in the U.S. would need to also explain why these factors do not protect against distress among Blacks.  This is particularly challenging given the overlapping symptom content in diagnostic interviews for depression and distress scales.  Alternatively, Barnes and Bates posit that the diagnostic algorithm for major depression provides multiple opportunities for differential misclassification bias that could conceivably account for the apparent lower prevalence of depression in Blacks.  These same opportunities for differential misclassification are not built into measures of distress. In sum the “double paradox” is consistent with the idea that the apparent lower prevalence of depression among Blacks is an artifact of how we measure depression.

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Social Worker’s Attitudes towards Immigrants and Refugees

Map of Ellis Island

Cluster faculty member Andrew Rundle and colleagues, Yoosun Park (Smith College School for Social Work) and Bhuyan (Factor-Inwentash Faculty of Social Work, University of Toronto), were recently funded by Smith College to launch a nationwide survey of social worker’s attitudes towards immigrants and refugees.  In a prior project they developed a scale to measure social work practitioner’s attitudes towards immigrants and a scale to measure social work practitioner’s knowledge of immigration and immigration policy.  Then in 2008 as the U.S. entered the Great Recession, they surveyed U.S. social workers regarding attitudes and knowledge around immigration.  Now that the economy has recovered for many sectors but there is a new U.S. administration hostile to immigrants and refugees they are re-fielding the survey of social worker’s attitudes.  They are also surveying Canadian social workers who practice in a contrasting social/political environment that is more welcoming to immigrants and refugees.

Papers from their first project on social worker’s attitudes and knowledge regarding immigration are here:

Bhuyan, R., et al., Linking practitioners’ attitudes towards and basic knowledge of immigrants and their social work education. Social Work Education, 2012, Vol 31, 973-994.

Park, Y., et al., U.S. Social Work Practitioners’ Attitudes Towards Immigrants and Immigration: Results From an Online Survey.  Journal of Immigrant and Refugee Studies. 2011, Vol 9, 367-392.

Park, Y. & Bhuyan, R. Whom should we serve? A discourse analysis of social workers’ commentary on undocumented immigrants. Journal of Progressive Human Services. 2012, Vol 23 (1),18-40.

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Why aren’t women riding for roses at the Kentucky Derby?

Cluster faculty member Kerry Keyes and colleagues just published a piece at CNN.com on gender discrimination in horse racing.

“No women will ride in Saturday’s Kentucky Derby. That isn’t unusual. Old race result charts (which are like box scores) show that since 1970, when Diane Crump became the first woman to start the Derby, only five other women have passed through the starting gate — alongside 301 men. Since 2004, only one woman, Rosie Napravnik, has started any Triple Crown race — and Napravnik retired three years ago.”

Keyes and colleagues unpack this issue, here, on CNN.com.

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Lisa Bates to receive the Columbia Presidential Teaching Award

Cluster faculty member, Lisa Bates will receive a 2017 Columbia University Presidential Teaching Award.  This award is given to Columbia University’s best teachers for commitment to excellent and often innovative teaching.  Bates teaches the Epidemiology Department’s Social Epidemiology Course.

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Webinar Online – Urban Informatics: Studying How Urban Design Influences Health in New York City

Dr. Rundle’s March 2nd webinar for the ISBNPA webinar has been posted online at ISBNPA’s web site (Here and embedded below).

His talk covered different approaches to assessing neighborhood walkability and the link between urban design and resident’s physical activity using New York City as a case study.  He highlighted the challenges to measuring neighborhood form across multiple municipal jurisdictions and retrospectively over the past three decades.

Posted in Neighborhood Environments, Physical Activity, Urban Health | Leave a comment