A Systematic Review and Meta-Analysis of Food Insecurity and Dyslipidemia.

PURPOSE: There is considerable interest in the association between food insecurity (FIS) and various cardiovascular risk factors such as dyslipidemia. Although the association between FIS and dyslipidemia has been studied across various methodologies and populations, there is no comprehensive systematic review and meta-analysis of these data. METHODS: A systematic literature search was conducted. Cross-sectional peer-review studies assessing the association between FIS and dyslipidemia were identified. Data extracted included population characteristics, study sizes, covariates explored, and laboratory assessments of dyslipidemia. Effect sizes were extracted or calculated, then synthesized across studies using a random effect model, and the heterogeneity, publication bias, and subgroup dependence for each meta-analysis were assessed. RESULTS: For adults, meta-analysis demonstrated no significantly elevated odds for FIS individuals to have a concomitant abnormal lipid measurement. Covariate-unadjusted analysis of standardized mean differences showed no significant differences in lipid measurements between food-insecure and food-secure individuals. In contrast to quantitative laboratory results, food-insecure patients were more likely to self-report previous diagnoses of dyslipidemia. CONCLUSIONS: Although current data do not suggest an association between FIS and dyslipidemia, more longitudinal studies and studies targeting women, children, the elderly, and patients with chronic diseases such as diabetes are needed to further address this issue.

Conceptualizing, Contextualizing, and Operationalizing Race in Quantitative Health Sciences Research.

Differences in health outcomes across racial groups are among the most commonly reported findings in health disparities research. Often, these studies do not explicitly connect observed disparities to mechanisms of systemic racism that drive adverse health outcomes among racialized and other marginalized groups in the United States. Without this connection, investigators inadvertently support harmful narratives of biologic essentialism or cultural inferiority that pathologize racial identities and inhibit health equity. This paper outlines pitfalls in the conceptualization, contextualization, and operationalization of race in quantitative population health research and provides recommendations on how to appropriately engage in scientific inquiry aimed at understanding racial health inequities. Race should not be used as a measure of biologic difference, but rather as a proxy for exposure to systemic racism. Future studies should go beyond this proxy use and directly measure racism and its health impacts.VISUAL ABSTRACTAppeared as Annals "Online First" article.

Food insecurity, type 2 diabetes, and hyperglycaemia: A systematic review and meta-analysis.

AIMS: Food insecurity (FIS) is a major public health issue with possible implications for type 2 diabetes mellitus (T2DM) risk. We conducted a systematic review and meta-analysis to explore the association between FIS and T2DM. METHODS: We performed a systematic search in PubMed, Embase, Scopus, and Web of Science. All cross-sectional, peer-reviewed studies investigating the link between FIS and T2DM were included. Population characteristics, study sizes, covariates, T2DM diagnoses, and diabetes-related clinical measures such as fasting blood glucose (FBG) and HbA1c were extracted from each study. Outcomes were compared between food insecure and food secure individuals. Effect sizes were combined across studies using the random effect model. RESULTS: Forty-nine peer-reviewed studies investigating the link between FIS and T2DM were identified (n = 258,250). Results of meta-analyses showed no association between FIS and clinically determined T2DM either through FBG or HbA1c: OR = 1.22 [95%CI: 0.96, 1.55], Q(df = 5) = 12.5, I2  = 60% and OR = 1.21 [95%CI: 0.95, 1.54], Q(df = 5) = 14; I2  = 71% respectively. Standardized mean difference (SMD) meta-analyses yielded no association between FIS and FBG or HbA1c: g = 0.06 [95%CI: -0.06, 0.17], Q(df = 5) = 15.8, I2  = 68%; g = 0.11 [95% CI: -0.02, 0.25], Q(df = 7) = 26.8, I2  = 74% respectively. For children, no association was found between FIS and HbA1c: g = 0.06 [95%CI: 0.00, 0.17], Q(df = 2) = 5.7, I2  = 65%. CONCLUSIONS: Despite multiple proposed mechanisms linking FIS to T2DM, integration of the available literature suggests FIS is not associated with clinically determined T2DM or increases in FBG or HbA1c among adult patients.

Associations of Race, Insurance, and Zip Code-Level Income with Nonadherence Diagnoses in Primary and Specialty Diabetes Care.

INTRODUCTION: Evidence suggests that clinicians may view or label patients as nonadherent in a biased manner. Therefore, we performed a retrospective cohort analysis exploring associations between patient demographics and zip code-level income with the International Classification of Diseases, Tenth Version (ICD-10) diagnoses for nonadherence among type 2 diabetes mellitus (T2DM) patients, comparing primary and specialty care settings. Providers in the primary care group included internal medicine and family medicine physicians. In the specialty care group, providers included endocrinologists and diabetologists only. METHODS: Participants were identified from 5 primary care and 4 endocrinology sites in the University of Pennsylvania Health System between January 1, 2015, and January 1, 2019. Demographics, hemoglobin A1c (HbA1c), and ICD-10 codes for T2DM and nonadherence were extracted from the electronic health record and analyzed in October 2019. Log-binomial regression models were used to estimate patients' risk of nonadherence labeling by race, insurance, and zip code-level median household income, controlling for patient characteristics and HbA1c as a proxy for diabetes self-management. Results were compared between primary and specialty care sites. RESULTS: A total of 6072 patients aged 18-70 years were included in this study. Black race, Medicare, and Medicaid were associated with increased nonadherence labeling while controlling for patient characteristics ([ARR = 2.48, 95% CI: 2.01, 3.04], [ARR = 1.82, 95% CI: 1.50, 2.18], [ARR = 1.61, 95% CI: 1.32, 1.93], respectively). The results remained significant on adjustment with zip code-level income and showed no differences between primary and specialty sites. Lower-income zip codes showed a significant association with increased rates of nonadherence labeling. CONCLUSIONS: Black race, non-private insurance, and lower-income zip codes were associated with disproportionately high rates of nonadherence labeling in both primary and specialty management of T2DM, possibly suggestive of racial or class bias.

Characterizing Health Inequities for the U.S. Transgender Hispanic Population Using the Behavioral Risk Factor Surveillance System.

Purpose: This study aims to describe health inequities experienced by transgender Hispanic (TH) individuals in the United States. Methods: This retrospective case-control study used the Behavioral Risk Factor Surveillance System (BRFSS) data from 2014 to 2018. Propensity score matching and logistic and negative binomial regression were used to compare TH survey respondents with other relevant populations across the following outcomes: health care access, health risk factors, self-reported chronic conditions, and perceived health status. Results: Relative to transgender White (TW) respondents, TH respondents (n=414) were less likely to report having health insurance (odds ratio [OR]: 0.35, p<0.001), a regular provider (OR=0.40, p<0.001), and were more likely to report cost barriers to care (OR=1.85, p<0.001) and HIV risk factors (OR=2.41, p<0.001). Similar results were found when comparing outcomes with cisgender White respondents. TH respondents reported fewer days of poor health (rate ratio [RR]=0.67, p<0.001), activity limited days (RR=0.64, p=0.011), and were less likely to report depression (OR=0.44, p<0.001) than TW respondents. Relative to cisgender Hispanic (CH) respondents, TH respondents experienced more cost barriers (OR=1.56, p=0.003), higher HIV risk (OR=3.38, p<0.001), and more activity limited days (RR=2.93, p<0.001). Conclusion: Our results demonstrate that TH individuals may be less likely to have access to health care and have poorer health-related quality-of-life when compared with either CH or TW individuals. It is vital that additional research further elucidate the challenges faced by this multiply marginalized population including racism and transphobia. Further health care solutions should be responsive to the unique challenges of the TH population at the individual and institutional level.

Cocaine, cardiomyopathy, and heart failure: a systematic review and meta-analysis.

Although the cardiotoxic effects of cocaine are universally recognized, the association between cocaine and cardiomyopathy and/or heart failure is poorly understood. To conduct a comprehensive review and meta-analysis on the association between cocaine, heart failure, and cardiomyopathy, we first conducted a broad-term search in PubMed, Embase, Web of Science, and Scopus for human studies containing primary data on the relationship between cocaine and heart failure or cardiomyopathy. We were interested in studies with data beyond acute coronary syndromes. Retrieved studies were grouped into different categories based on possible hypotheses to test by meta-analysis. A second search with specific terms was then conducted. For grouped studies with sufficient clinical and methodological homogeneity, effect sizes were calculated and combined for meta-analysis by the Random Effects model. There is in general a need for more primary data studies that investigate heart failure and/or cardiomyopathy in cocaine users for mechanisms independent of ischemia. There were, however, enough studies to combine by meta-analyses that showed that chronic cocaine use is associated with anatomical and functional changes more consistent with diastolic heart failure instead of the commonly taught dilated cardiomyopathy pathway. In patients without a history of ACS, chronic cocaine use was not associated with significantly reduced EF. The few studies on acute cocaine had conflicting results on whether single-dose intravascular cocaine results in acute heart failure. Studies identified that included beta-blockade therapy in cocaine users with cardiac disease suggest that beta-blockers are not unsafe and that may be effective in the treatment of cocaine-associated heart failure. Chronic cocaine use is associated with anatomical and physiological changes of the heart muscle that are potentially reversible with beta-blockade therapy.

Food insecurity and hypertension: A systematic review and meta-analysis.

BACKGROUND: Food insecurity (FIS) is an important public health issue associated with cardiovascular risk. Given the association of FIS with diets of poorer nutritional quality and higher salt intake as well as chronic stress, numerous studies have explored the link between FIS and hypertension. However, no systematic review or meta-analysis has yet to integrate or analyze the existing literature. METHODS: We performed a wide and inclusive search of peer-reviewed quantitative data exploring FIS and hypertension. A broad-terms, systematic search of the literature was conducted in PubMed, Embase, Scopus, and Web of Science for all English-language, human studies containing primary data on the relationship between FIS and hypertension. Patient population characteristics, study size, and method to explore hypertension were extracted from each study. Effect sizes including odds ratios and standardized mean differences were extracted or calculated based on studies' primary data. Comparable studies were combined by the random effects model for meta-analyses along with assessment of heterogeneity and publication bias. RESULTS: A total of 36 studies were included in the final analyses. The studies were combined into different subgroups for meta-analyses as there were important differences in patient population characteristics, methodology to assess hypertension, and choice of effect size reporting (or calculability from primary data). For adults, there were no significantly increased odds of elevated blood pressures for food insecure individuals in studies where researchers measured the blood pressures: OR = 0.91 [95%CI: 0.79, 1.04; n = 29,781; Q(df = 6) = 7.6; I2 = 21%]. This remained true upon analysis of studies which adjusted for subject BMI. Similarly, in studies for which the standardized mean difference was calculable, there was no significant difference in measured blood pressures between food secure and FIS individuals: g = 0.00 [95%CI: -0.04, 0.05; n = 12,122; Q(df = 4) = 3.6; I2 = 0%]. As for retrospective studies that inspected medical records for diagnosis of hypertension, there were no significantly increased odds of hypertension in food insecure adults: OR = 1.11 [95%CI: 0.86, 1.42; n = 2,887; Q(df = 2) = 0.7; I2 = 0%]. In contrast, there was a significant association between food insecurity and self-reports of previous diagnoses of hypertension: 1.46 [95%CI: 1.13, 1.88; n = 127,467; Q(df = 7) = 235; I2 = 97%]. Only five pediatric studies were identified which together showed a significant association between FIS and hypertension: OR = 1.44 [95%CI: 1.16, 1.79; n = 19,038; Q(df = 4) = 5.7; I2 = 30%]. However, the small number of pediatric studies were not sufficient for subgroup meta-analyses based on individual study methodologies. DISCUSSION: In this systematic review and meta-analysis, an association was found between adult FIS and self-reported hypertension, but not with hypertension determined by blood pressure measurement or chart review. Further, while there is evidence of an association between FIS and hypertension among pediatric subjects, the limited number of studies precluded a deeper analysis of this association. These data highlight the need for more rigorous and longitudinal investigations of the relationship between FIS and hypertension in adult and pediatric populations.

Nonadherence Labeling in Primary Care: Bias by Race and Insurance Type for Adults With Type 2 Diabetes.

INTRODUCTION: Little is known about how provider bias can influence nonadherence labeling. Therefore, a retrospective cohort analysis was conducted to assess the risk of patients with Type 2 diabetes being labeled nonadherent by sociodemographic factors. METHODS: Patients with Type 2 diabetes were identified from 4 primary care sites of the University of Pennsylvania Health System. Demographics, HbA1c, and ICD-10 codes for Type 2 diabetes and nonadherence were extracted from the electronic health record and analyzed in October 2017. Log-binomial regression models were used to estimate patients' risk of nonadherence labeling by race, age, sex, BMI, and insurance payer while controlling for HbA1c as a proxy for medication use. RESULTS: This study included 3,768 adults aged 18-70 years with Type 2 diabetes who received care from 1 of 4 primary care sites at University of Pennsylvania from 2014 to 2017. An increased risk was found for black patients relative to white patients (RR=2.86, 95% CI=1.91, 4.27) and Medicaid (RR=1.8, 95% CI=1.45, 2.22) or Medicare (RR=1.69, 95% CI=1.36, 2.1) relative to private insurance to be labeled as nonadherent while adjusting for HbA1c. Though statistically insignificant, Hispanic patients also showed increased risk of nonadherence labeling. BMI, age, and sex showed no association. CONCLUSIONS: Black race and nonprivate insurance status were shown to be associated with increased risk of nonadherence labeling. The findings may indicate a concerning bias among providers in their perception of patient behavior by race and insurance.

Recognizing Racism in Medicine: A Student-Organized and Community-Engaged Health Professional Conference.

Purpose: This piece details the evaluation and implementation of a student-led educational intervention designed to train health professionals on the impact of racism in health care and provide tools to mitigate it. In addition, this conference, cosponsored by medical, nursing, and social work training programs, facilitates development of networks of providers with the knowledge and skills to recognize and address racism in health care. Methods: The conference included 2 keynote speakers, an interprofessional panel, and 15 workshops. Participants (n=220) were asked to complete a survey assessing perceptions of conference content and impact. We compared responses pre- and postconference using Wilcoxon signed-rank tests. Results: Of the survey respondents (n=44), 45.5% were medical students, 13.6% nursing students, and 9% social work students; 65.9% self-identified as a race/ethnicity other than non-Hispanic white; and 63.6% self-identified as female. We found that 47.7% respondents reported they were more comfortable discussing how racism affects health (p<0.001), 36.4% had better understanding of the impact of racism on an individual's health (p<0.001), and 54.5% felt more connected to other health professionals working to recognize and address racism in medicine (p<0.001). Conclusion: These findings suggest that a student-organized conference could potentially be an effective strategy in addressing a critical gap in racism training for health care professionals.