Faculty Bibliography

BACKGROUND:Patients with chronic diseases such as Type 2 diabetes mellitus (DM) usually have a relatively poor quality of life (QoL), because the cost of care (living expenses and health) or diet restrictions are heavily felt by these patients, and this is of a public health concern. However, limited data on DM QoL exist in Ghana and Nigeria. This makes it imperative for data to be collated in that regard. MATERIALS AND METHODS/METHODS:We adopted the Strengthening The reporting of observational studies in epidemiology (STROBE) consensus checklist to survey the patients with DM seen at the diabetic clinic at the Department of Medicine of the Korle-Bu Teaching Hospital and University College Hospital, Ibadan, Nigeria. Patients with Type 2 DM aged 40 years and older were recruited by using systematic random sampling method. The World Health Organization Quality of Life-BREF, diabetes empowerment scale, and DM knowledge scale were used to assess QoL, patient empowerment, and knowledge of DM, respectively. The predictors of QoL were determined using multiple linear regression analyses. RESULTS:A total of 198 patients in Ghana and 203 patients in Nigeria completed the survey, with female-to-male ratio being 3:1 and 2:1, respectively. The overall QoL in both countries was relatively low: 56.19 ± 8.23 in Ghana and 64.34 ± 7.34 in Nigeria. In Ghana, significant correlates of higher scores on the QoL scale were medication adherence (P = 0.02) and employment status (P = 0.02). Among patients in Nigeria, employment status (P = 0.02) and DM empowerment (0.03) were significant predictors of QoL in patients with DM. CONCLUSION/CONCLUSIONS:Our study revealed an association between a number of psychosocial factors and QoL among patients with DM in Ghana and Nigeria.

As many as 50% of people satisfying diagnostic criteria for dementia are undiagnosed. A team-based training program for dementia screening and management was developed targeting four professions (medicine, nursing, pharmacy, social work) whose scope of practice involves dementia care. An interprofessional group of 10 faculty members was trained to facilitate four interactive competency stations on dementia screening, differential diagnoses, dementia management and team care planning, and screening for and managing caregiver stress. Registrants were organized into teams of five members, with at least one member of each profession per team. The teams rotated through all stations, completing assigned tasks through interprofessional collaboration. A total of 117 professionals (51 physicians, 11 nurses, 20 pharmacists, 24 social workers, 11 others) successfully completed the program. Change scores showed significant improvements in overall competence in dementia assessment and intervention (very low = 1; very high = 5; average change 1.12, P < .001), awareness of importance of dementia screening (average change 0.85, P < .001), and confidence in managing medication (average change 0.86, P < .001). Eighty-seven participants (82.9%) reported feeling confident or very confident using the dementia toolkit at their home institution. In a survey administered 3 months after the session, 48 respondents reported that they had changed their approach to administering the Mini-Cog test (78%), differential diagnosis (49%), assessment of caregiver stress (74%), and accessing community support and services (69%). In conclusion, team-based interprofessional competency training is a team teaching model that can be used to enhance competency in dementia screening and management in medical, nursing, pharmacy, and social work practitioners.

Longitudinal studies of cognitive performance are sensitive to dropout, as participants experiencing cognitive deficits are less likely to attend study visits, which may bias estimated associations between exposures of interest and cognitive decline. Multiple imputation is a powerful tool for handling missing data, however its use for missing cognitive outcome measures in longitudinal analyses remains limited. We use multiple imputation by chained equations (MICE) to impute cognitive performance scores of participants who did not attend the 2011-2013 exam of the Atherosclerosis Risk in Communities Study. We examined the validity of imputed scores using observed and simulated data under varying assumptions. We examined differences in the estimated association between diabetes at baseline and 20-year cognitive decline with and without imputed values. Lastly, we discuss how different analytic methods (mixed models and models fit using generalized estimate equations) and choice of for whom to impute result in different estimands. Validation using observed data showed MICE produced unbiased imputations. Simulations showed a substantial reduction in the bias of the 20-year association between diabetes and cognitive decline comparing MICE (3-4 % bias) to analyses of available data only (16-23 % bias) in a construct where missingness was strongly informative but realistic. Associations between diabetes and 20-year cognitive decline were substantially stronger with MICE than in available-case analyses. Our study suggests when informative data are available for non-examined participants, MICE can be an effective tool for imputing cognitive performance and improving assessment of cognitive decline, though careful thought should be given to target imputation population and analytic model chosen, as they may yield different estimands.

The American Thoracic Society has previously published statements on what constitutes an adverse effect on health of air pollution in 1985 and 2000. We set out to update and broaden these past statements that focused primarily on effects on the respiratory system. Since then, many studies have documented effects of air pollution on other organ systems, such as on the cardiovascular and central nervous systems. In addition, many new biomarkers of effects have been developed and applied in air pollution studies.This current report seeks to integrate the latest science into a general framework for interpreting the adversity of the human health effects of air pollution. Rather than trying to provide a catalogue of what is and what is not an adverse effect of air pollution, we propose a set of considerations that can be applied in forming judgments of the adversity of not only currently documented, but also emerging and future effects of air pollution on human health. These considerations are illustrated by the inclusion of examples for different types of health effects of air pollution.

BACKGROUND:During pregnancy, most women do not meet gestational weight gain (GWG) guidelines, potentially resulting in adverse maternal and infant health consequences. Social environment determinants of GWG have been identified, but evidence on the relationship between neighbourhood violence and GWG is scant. Our study aims to examine the relationship between neighbourhood violence and GWG outside the recommended range. METHODS:We used statewide vital statistics and health care utilization data from California for 2006-12 (n = 2 364 793) to examine the relationship of neighbourhood violence (quarters of zip-code rates of homicide and assault) in the first 37 weeks of pregnancy with GWG (categorized using the Institute of Medicine's pregnancy weight gain guidelines). We estimated risk ratios (RR) and marginal risk differences, and analyses were stratified by maternal race/ethnicity and prepregnancy body mass index. RESULTS:Residence in neighbourhoods with the highest quartile of violence was associated with more excessive GWG (adjusted RR 1.04, 95% confidence interval CI 1.03, 1.05), compared to the lowest quartile of violence; violence was not associated with inadequate GWG. On the difference scale, this association translates to 2.3% more women gaining weight excessively rather than adequately if all women were exposed to high violence compared to if all women were exposed to low violence. Additionally, associations between neighbourhood violence and excessive GWG were larger in non-white women than in white women. CONCLUSIONS:These findings support the hypothesis that violence can affect weight gain during pregnancy, emphasizing the importance of neighbourhood violence as a public health issue.

PURPOSE: To examine if there was spatial misclassification in exposure to neighborhood noise complaints among a sample of low-income housing residents in New York City, comparing home-based spatial buffers and Global Positioning System (GPS) daily path buffers. METHODS: Data came from the community-based NYC Low-Income Housing, Neighborhoods and Health Study, where GPS tracking of the sample was conducted for a week (analytic n = 102). We created a GPS daily path buffer (a buffering zone drawn around GPS tracks) of 200 m and 400 m. We also used home-based buffers of 200 m and 400 m. Using these "neighborhoods" (or exposure areas), we calculated neighborhood exposure to noisy events from 311 complaints data (analytic n = 143,967). Friedman tests (to compare overall differences in neighborhood definitions) were applied. RESULTS: There were differences in neighborhood noise complaints according to the selected neighborhood definitions (P < .05). For example, the mean neighborhood noise complaint count was 1196 per square kilometer for the 400-m home-based and 812 per square kilometer for the 400-m activity space buffer, illustrating how neighborhood definition influences the estimates of exposure to neighborhood noise complaints. CONCLUSIONS: These analyses suggest that, whenever appropriate, GPS neighborhood definitions can be used in spatial epidemiology research in spatially mobile populations to understand people's lived experience.

OBJECTIVE:The objective of this study was to understand predictors of hepatitis C virus (HCV) antibody positivity in a large urban jail system in New York City. METHODS:We examined demographic characteristics, risk behaviors, and HCV antibody prevalence among 10 790 jail inmates aged 16 to 86 who were screened from June 13, 2013, to June 13, 2014, based on birth cohort or conventional high-risk criteria. We used logistic regression analysis to determine predictors of HCV antibody positivity. RESULTS:Of the 10 790 inmates screened, 2221 (20.6%) were HCV antibody positive. In the multivariate analysis, HCV antibody positivity was associated most strongly with injection drug use (IDU; adjusted odds ratio [aOR] = 35.0; 95% confidence interval [CI], 28.5-43.0). Women were more likely than men to be infected with HCV (aOR = 1.3; 95% CI, 1.1-1.5). Compared with non-Hispanic black people, Hispanic (aOR = 2.1; 95% CI, 1.8-2.4) and non-Hispanic white (aOR = 1.7; 95% CI, 1.5-2.1) people were more likely to be infected with HCV. Non-IDU, recidivism, HIV infection, homelessness, mental illness, and lower education level were all significantly associated with HCV infection. The prevalence rate of HCV infection among a subset of inmates born after 1965 who denied IDU and were not infected with HIV was 5.6% (198 of 3529). Predictors of HCV infection among this group included non-IDU as well as being non-Hispanic white, Hispanic, recidivist, and homeless. CONCLUSION:These data reveal differences in HCV infection by sex, race/ethnicity, and socioeconomics in a large jail population, suggesting that a focused public health intervention is required and that universal screening may be warranted. Further sensitivity and cost-benefit analyses are needed to make this determination.