Association of Obesity and Diabetes With the Incidence of Breast Cancer in Louisiana.

INTRODUCTION: Breast cancer is a heterogeneous disease, consisting of multiple molecular subtypes. Obesity has been associated with an increased risk for postmenopausal breast cancer, but few studies have examined breast cancer subtypes separately. Obesity is often complicated by type 2 diabetes, but the possible association of diabetes with specific breast cancer subtypes remains poorly understood. METHODS: In this retrospective case-control study, Louisiana Tumor Registry records of primary invasive breast cancer diagnosed in 2010-2015 were linked to electronic health records in the Louisiana Public Health Institute's Research Action for Health Network. Controls were selected from Research Action for Health Network and matched to cases by age and race. Conditional logistic regression was used to identify metabolic risk factors. Data analysis was conducted in 2020‒2021. RESULTS: There was a significant association between diabetes and breast cancer for Luminal A, Triple-Negative Breast Cancer, and human epidermal growth factor 2‒positive subtypes. In multiple logistic regression, including both obesity status and diabetes as independent risk factors, Luminal A breast cancer was also associated with overweight status. Diabetes was associated with increased risk for Luminal A and Triple-Negative Breast Cancer in subgroup analyses, including women aged ≥50 years, Black women, and White women. CONCLUSIONS: Although research has identified obesity and diabetes as risk factors for breast cancer, these results underscore that comorbid risk is complex and may differ by molecular subtype. There was a significant association between diabetes and the incidence of Luminal A, Triple-Negative Breast Cancer, and human epidermal growth factor 2‒positive breast cancer in Louisiana.

Structural racism in the built environment: Segregation and the overconcentration of alcohol outlets.

Structural racism, evidenced in practices like residential racial segregation, has been linked to health inequities. We examined the relationship between an adverse environmental factor (alcohol outlet overconcentration), segregated neighborhoods, and county alcohol policy in Louisiana and Alabama to investigate this link. Multilevel analysis revealed high outlet density associated with segregated counties and predominantly black census tracts in counties with restrictive alcohol policy. This inverse association between policies designed to limit alcohol availability and overconcentration of outlets in black neighborhoods warrants consideration by policymakers given links between outlet density and health inequities. Consideration of these findings in historical context suggests these policies may function as a contemporary actualization of the historical use of alcohol policy to subjugate black people in the South, now over-concentrating instead of prohibiting access.

Social support modifies the negative effects of acculturation on obesity and central obesity in Mexican men.

Background: This study examined the moderating role of social support in the acculturation-obesity/central obesity relationship in Mexican American (MA) men and women. Methods: Data from NHANES 1999-2008 were used. Acculturation derived from language use, country of birth and length of residence in the U.S. Social support assessed emotional and financial support. BMI (≥30) and waist circumference (≥88 cm for women; ≥102 cm for men) measured obesity and central obesity, respectively. Weighted multivariate logistic regression models were used to describe associations. Results: Compared to less acculturation, more acculturation was associated with higher odds of obesity (ORs 2.48; 95% CI 1.06-5.83) and central obesity (2.90; 1.39-6.08) among MA men with low/no social support, but not among MA men reporting high social support. The modifying effects was not observed among women. Conclusion: Higher amounts of social support appeared to attenuate the risk of obesity/central obesity associated with acculturation. Interventions enhancing social support maybe effective among acculturated MAs, particularly among men.

Racial Disparities in Triple Negative Breast Cancer: A Review of the Role of Biologic and Non-biologic Factors.

Triple-negative breast cancer (TNBC) is an aggressive subtype of breast cancer that lacks expression of the estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor (HER2). TNBC constitutes about 15-30 percent of all diagnosed invasive breast cancer cases in the United States. African-American (AA) women have high prevalence of TNBC with worse clinical outcomes than European-American (EA) women. The contributing factors underlying racial disparities have been divided into two major categories based on whether they are related to lifestyle (non-biologic) or unrelated to lifestyle (biologic). Our objective in the present review article was to understand the potential interactions by which these risk factors intersect to drive the initiation and development of the disparities resulting in the aggressive TNBC subtypes in AA women more likely than in EA women. To reach our goal, we conducted literature searches using MEDLINE/PubMed to identify relevant articles published from 2005 to 2019 addressing breast cancer disparities primarily among AA and EA women in the United States. We found that disparities in TNBC may be attributed to racial differences in biological factors, such as tumor heterogeneity, population genetics, somatic genomic mutations, and increased expression of genes in AA breast tumors which have direct link to breast cancer. In addition, a large number of non-biologic factors, including socioeconomic deprivation adversities associated with poverty, social stress, unsafe neighborhoods, lack of healthcare access and pattern of reproductive factors, can promote comorbid diseases such as obesity and diabetes which may adversely contribute to the aggression of TNBC biology in AA women. Further, the biological risk factors directly linked to TNBC in AA women may potentially interact with non-biologic factors to promote a higher prevalence of TNBC, more aggressive biology, and poor survival. The relative contributions of the biologic and non-biologic factors and their potential interactions is essential to our understanding of disproportionately high burden and poor survival rates of AA women with TNBC.

Neighborhood Social Determinants of Triple Negative Breast Cancer.

Triple Negative Breast Cancer (TNBC) is an aggressive, heterogeneous subtype of breast cancer, which is more frequently diagnosed in African American (AA) women than in European American (EA) women. The purpose of this study is to investigate the role of social determinants in racial disparities in TNBC. Data on Louisiana TNBC patients diagnosed in 2010-2012 were collected and geocoded to census tract of residence at diagnosis by the Louisiana Tumor Registry. Using multilevel statistical models, we analyzed the role of neighborhood concentrated disadvantage index (CDI), a robust measure of physical and social environment, in racial disparities in TNBC incidence, stage at diagnosis, and stage-specific survival for the study population. Controlling for age, we found that AA women had a 2.21 times the incidence of TNBC incidence compared to EA women. Interestingly, the incidence of TNBC was independent of neighborhood CDI and adjusting for neighborhood environment did not impact the observed racial disparity. AA women were more likely to be diagnosed at later stages and CDI was associated with more advanced stages of TNBC at diagnosis. CDI was also significantly associated with poorer stage-specific survival. Overall, our results suggest that neighborhood disadvantage contributes to racial disparities in stage at diagnosis and survival among TNBC patients, but not to disparities in incidence of the disease. Further research is needed to determine the mechanisms through which social determinants affect the promotion and progression of this disease and guide efforts to improve overall survival.

Asthma status moderates the relationship between neighbourhood disadvantage and obesity in African American adolescent females.

INTRODUCTION: Significant health disparities exist in asthma and obesity for African American youths. Successful interventions present an opportunity to address these disparities but require detailed study in order to ensure generalizability. This study investigated the intersection of obesity, neighbourhood disadvantage, and asthma. METHODS: Data were extracted from 129 African American females ages 13 to 19 years (mean = 15.6 years [SD = 1.9]). Obesity was measured via body mass index (BMI). Asthma status was based on clinical diagnosis and/or results of the International Study of Asthma and Allergies during Childhood (ISAAC) questionnaire. The concentrated disadvantage index (CDI) assessed neighbourhood disadvantage. RESULTS: Findings showed that 21.5% (n = 28) of participants were clinically defined as having asthma, 76.2% (n = 99) had obesity, and 24.9% (n = 31) were classified without obesity. The mean BMI was 35.1 (SD = 9.1) and the mean CDI was 1.0 (SD = 0.9). CDI and obesity were significantly associated in participants without asthma, but not in those with asthma. Multivariable linear regression results showed a significant interaction between CDI and asthma (t value = 2.2, P = .03). CONCLUSION: In sum, results from this study found that asthma moderated the relationship between neighbourhood disadvantage and obesity.

Using the emergency department to investigate smoking in young adults.

PURPOSE: Smoking in young adults identifies the population at risk for future tobacco-related disease. We investigated smoking in a young adult population and within high-risk groups using emergency department (ED) data in a metropolitan area. METHODS: Using the electronic health record, we performed a retrospective study of smoking in adults aged 18-30 years presenting to the ED. RESULTS: Smoking status was available for 55,777 subjects (90.9% of the total ED cohort); 60.8% were women, 55.0% were black, 35.3% were white, and 8.1% were Hispanic; 34.4% were uninsured. Most smokers used cigarettes (95.1%). Prevalence of current smoking was 21.7% for women and 42.5% for men. The electronic health record contains data about diagnosis and social history that can be used to investigate smoking status for high-risk populations. Smoking prevalence was highest for substance use disorder (58.0%), psychiatric illness (41.3%) and alcohol use (39.1%), and lowest for pregnancy (13.5%). In multivariable analyses, male gender, white race, lack of health insurance, alcohol use, and illicit drug use were independently associated with smoking. Smoking risk among alcohol and drug users varied by gender, race, and/or age. CONCLUSIONS: The ED provides access to a large, demographically diverse population, and supports investigation of smoking risk in young adults.

Multiple mediation analysis with survival outcomes: With an application to explore racial disparity in breast cancer survival.

Mediation analysis allows the examination of effects of a third variable in the pathway between an exposure and an outcome. The general multiple mediation analysis method, proposed by Yu et al, improves traditional methods (eg, estimation of natural and controlled direct effects) to enable consideration of multiple mediators/confounders simultaneously and the use of linear and nonlinear predictive models for estimating mediation/confounding effects. In this paper, we extend the method for time-to-event outcomes and apply the method to explore the racial disparity in breast cancer survivals. Breast cancer is the most common cancer and the second leading cause of cancer death among women of all races. Despite improvement of survival rates of breast cancer in the US, a significant difference between white and black women remains. Previous studies have found that more advanced and aggressive tumors and less than optimal treatment may explain the lower survival rates for black women as compared to white women. Due to limitations of current analytic methods and the lack of comprehensive data sets, researchers have not been able to differentiate the relative effect each factor contributes to the overall racial disparity. We use the CDC-funded Patterns of Care study to examine the determinants of racial disparities in breast cancer survival using a novel multiple mediation analysis. Using the proposed method, we applied the Cox hazard model and multiple additive regression trees as predictive models and found that all racial disparity in survival among Louisiana breast cancer patients were explained by factors included in the study.

Hemoglobin A1c, frequency of glucose testing and social disadvantage: Metrics of racial health disparity in youth with type 1 diabetes.

INTRODUCTION: Black youth with type 1 diabetes (T1D) have higher HbA1c than whites. To understand HbA1c differences, we examined the relationship of psycho-social factors and glucose testing with HbA1c. METHODS: Glucose tests per day (BGs/d) and mean blood glucose (MBG) were calculated from meter data of youth self-identified as black (n = 33) or white (n = 53) with T1D. HbA1c, family income, insurance status, concentrated disadvantage (CDI), psychological depression (DSC), mother educational attainment (MEA), and insulin delivery method (IDM) data was were analyzed. RESULTS: Black patients had significantly higher HbA1c, MBG and disadvantage measures compared to whites. BGs/d correlated with HbA1c, MBG, age and CDI. Race (p < 0.0158), age (p < 0.0001) and IDM (p < 0.0036) accounted for 50% of the variability (R2 = 0.5, p < 0.0001) in BGs/d. Regardless of age, black patients had lower BGs/d than whites. MBG (p < 0.0001) and BGs/d (p < 0.0001) accounted for 61% of the variance in HbA1c (p < 0.0001). CONCLUSIONS: BGs/d is easily assessed and closely associated with HbA1c racial disparity. BGs/d is intricately linked with greater social disadvantage. Innovative management approaches are needed to overcome obstacles to optimal outcomes.

Increased Risk of Hepatocellular Carcinoma Associated With Neighborhood Concentrated Disadvantage.

Purpose: Over the past three decades, Hepatocellular Carcinoma (HCC) is one of few cancers for which incidence has increased in the United States (US). It is likely social determinants at the population level are driving this increase. We designed a population-based study to explore whether social determinants at the neighborhood level are geographically associated with HCC incidence in Louisiana by examining the association of HCC incidence with neighborhood concentrated disadvantage. Methods: Primary HCC cases diagnosed from 2008 to 2012 identified from the Louisiana Tumor Registry were geocoded to census tract of residence at the time of diagnosis. Neighborhood concentrated disadvantage index (CDI) for each census tract was calculated according to the PhenX Toolkit data protocol based on population and socioeconomic measures from the US Census. The incidence of HCC was modeled using multilevel binomial regression with individuals nested within neighborhoods. Results: The study included 1,418 HCC cases. Incidence of HCC was greater among males than females and among black than white. In multilevel models controlling for age, race, and sex, neighborhood CDI was positively associated with the incidence of HCC. A one standard deviation increase in CDI was associated with a 22% increase in HCC risk [Risk Ratio (RR) = 1.22; 95% CI (1.15, 1.31)]. Adjusting for contextual effects of an individual's neighborhood reduced the disparity in HCC incidence. Conclusion: Neighborhood concentrated disadvantage, a robust measure of an adverse social environment, was found to be a geographically associated with HCC incidence. Differential exposure to neighborhoods characterized by concentrated disadvantage partially explained the racial disparity in HCC for Louisiana. Our results suggest that increasing rates of HCC, and existing racial disparities for the disease, are partially explained by measures of an adverse social environment.

Absence of Adolescent Obesity in Grenada: Is This a Generational Effect?

Background: Low- and middle-income countries are affected disproportionately by the ongoing global obesity pandemic. Representing a middle income country, the high prevalence of obesity among Grenadian adults as compared to US adults is expected as part of global obesity trends. The objective of this study was to determine if Grenadian adolescents have a higher prevalence of overweight compared to their US counterparts, and if a disparity exists between urban and rural adolescents. Methods: Using a subcohort of participants in the Grenadian Nutrition Student Survey, diet quality and anthropometric measures were collected from 55% of the classrooms of first year secondary students in Grenada (n = 639). Rural or urban designations were given to each school. Body Mass Index (BMI) was calculated and categorized as overweight or obese for each student following CDC classification cutoffs. A standardized BMI (BMIz) was calculated for each school. Sex-specific BMI and overall BMIz were compared to a 1980s US cohort. Multilevel models, overall and stratified by sex, of students nested within schools were conducted to determine if BMIz differed by rural or urban locality, gender, and diet quality. Results: The mean age of this cohort was 12.7 (SD = 0.8) years with 83.8% of the cohort identifying as Afro-Caribbean. Females had nearly twice the prevalence of overweight when compared to males (22.7 vs. 12.2%) but a similar prevalence of obesity (8.2 vs. 6.8%). Grenadian adolescents had lower prevalence of overweight (females: 22.7 vs. 44.7%; males: 12.2 vs. 38.8%, respectively) as compared to US counterparts. Eating a traditional diet was negatively associated with BMIz score among females ( ß^ = -0.395; SE = 0.123) in a stratified, multilevel analysis. BMIz scores did not differ significantly by rural or urban school designation. Conclusions: Among Grenadian adolescents, this study identified a lower overweight prevalence compared to US counterparts and no difference in overweight prevalence by urban or rural location. We hypothesize that the late introduction of processed foods to Grenada protected this cohort from obesogenic promoters due to a lack of fetal overnutrition. However, further research in subsequent birth cohorts is needed to determine if adolescent obesity will increase due to a generational effect.

Neighborhood disadvantage and racial disparities in colorectal cancer incidence: a population-based study in Louisiana.

PURPOSE: Colorectal cancer (CRC) continues to demonstrate racial disparities in incidence and survival in the United States. This study investigates the role of neighborhood concentrated disadvantage in racial disparities in CRC incidence in Louisiana. METHODS: Louisiana Tumor Registry and U.S. Census data were used to assess the incidence of CRC diagnosed in individuals 35 years and older between 2008 and 2012. Neighborhood concentrated disadvantage index (CDI) was calculated based on the PhenX Toolkit protocol. The incidence of CRC was modeled using multilevel binomial regression with individuals nested within neighborhoods. RESULTS: Our study included 10,198 cases of CRC. Adjusting for age and sex, CRC risk was 28% higher for blacks than whites (risk ratio [RR] = 1.28; 95% confidence interval [CI] = 1.22-1.33). One SD increase in CDI was associated with 14% increase in risk for whites (RR = 1.14; 95% CI = 1.10-1.18) and 5% increase for blacks (RR = 1.05; 95% CI = 1.02-1.09). After controlling for differential effects of CDI by race, racial disparities were not observed in disadvantaged areas. CONCLUSION: CRC incidence increased with neighborhood disadvantage and racial disparities diminished with mounting disadvantage. Our results suggest additional dimensions to racial disparities in CRC outside of neighborhood disadvantage that warrants further research.

Neighborhood Environment Measurements and Anthropometric Indicators of Obesity: Results from the Women and Their Children's Health (WaTCH) Study.

We compared geographic information system (GIS)- and Census-based approaches for measuring the physical and social neighborhood environment at the census tract-level versus and audit approach on associations with body mass index (BMI), waist circumference (WC), and waist-to-hip ratio (WHR). Data were used from the 2012-2014 Women and Their Children's Health (WaTCH) Study (n=940). Generalized linear models were used to obtain odds ratios (ORs) for BMI (≥30 kg/m2), WC (>88 cm), and WHR (>0.85). Using an audit approach, more adverse neighborhood characteristics were associated with a higher odds of WC (OR: 1.10; 95% CI: 1.05, 1.15) and WHR (OR: 1.09; 95% CI: 1.05, 1.14) after adjustment for age, race/ethnicity, income, and oil spill exposure. There were no significant associations between GIS- and Census- based measures with obesity in adjusted models. Quality aspects of the neighborhood environment captured by audits at the individual-level may be more relevant to obesity than physical or social aspects at the census-tract level.

Incentivizing Fruit and Vegetable Purchasers at Fresh Markets in Lower 9th Ward, New Orleans.

Objective: Disparities in fruit and vegetable consumption have been observed across income and race-ethnicity and shown to be associated with both access to fresh food venues and price. This study assesses the feasibility of increasing produce consumption by incentivizing fruit and vegetable purchases at local markets. Design: We conducted analyses of a cross-sectional survey of program participants and point-of-sale reports on fruit and vegetable purchases at the fresh food markets. Setting: Five fresh food markets in the Lower Ninth Ward (LNW) of New Orleans, Louisiana. Participants: A total of 176 participants were enrolled in the "Veggie Dollars" program (VDP). Intervention: From January to July 2016, Sankofa, our community partner, recruited patrons at its markets into the VDP, a fresh food incentive program. Participants received coupons worth $4 per week for fruit and vegetables over a six-week period. Main Outcome Measures: Total monthly gross, VDP, and SNAP benefit sales at the markets measured program participation. A survey (N=96) assessed the demographics and fruit and vegetable purchasing practices of participants. Results: Participants were predominantly women (81%), African American (94%) and raising children at home (53%). Point-of-sales data indicated that VDP sales nearly doubled over the intervention period. Total market sales and SNAP benefit purchases also increased. The majority (63%) of VDP participants reported their produce purchases increased and 89% reported increasing their consumption of fruit and vegetables since entering the program. Conclusions: Monetary incentives were associated with increased fruit and vegetable purchases at local fresh food markets in a low-income minority community.

Academic-Community Partnership Development to Enhance Program Outcomes in Underserved Communities: A Case Study.

Purpose: A community-academic partnership was developed to assess community needs and restructure a variety of community-based programs that provide services to underserved communities in New Orleans, Louisiana. Methods: The community and academic partners utilized five phases to assess community needs and restructure programs: 1) meetings; 2) narrowing the scope of community programs; 3) data collection and analysis; 4) emphasizing target programs; and 5) improving sustainability through grant submissions and grant development training. Results: Survey data were collected and analyzed pre- and post-community-academic partnership between November 2014-November 2016 in New Orleans, Louisiana. The data supported the need for community-based programs run by a community organization known as the Dillard University Office of Community and Church Relations (OCCR). The survey results showed that community members expressed interest in: screenings for chronic diseases, such as diabetes; attending exercise classes at local churches; attending financial management workshops; and health fairs run by the community organization. In the future, screenings, workshops, health fairs, as well as exercise and diet programs, will take place at all churches participating in the community-based, umbrella program, Churches in Unity program. Conclusion: A formal community-academic partnership, involving the assignment of an academic liaison, restructured programs for a community partner to better serve the needs of a community that is at-risk for a multitude of obesity-related health problems faced by underserved communities.

Role of Age and Acculturation in Diet Quality Among Mexican Americans - Findings From the National Health and Nutrition Examination Survey, 1999-2012.

Age and acculturation may play a role in diet quality among Mexican Americans. This study examined diet quality in Mexican Americans by age and whether acculturation influences diet quality across different age groups, using data from the National Health and Nutrition Examination Survey (NHANES). Diet quality, measured by the Healthy Eating Index 2010, improved with age except in categories of dairy, sodium, and refined grains. More acculturation was associated with lower scores in overall diet quality and categories of vegetables, fruits, and sodium and empty calories across almost all ages, but higher scores in grain categories, especially in younger groups. A diet rich in fruits and vegetables but low in fat and sodium should be promoted among more acculturated Mexican Americans, and whole-grain foods should be promoted among young but less acculturated Mexican Americans.

Exploring racial disparity in obesity: A mediation analysis considering geo-coded environmental factors.

Research shows aconsistent racial disparity in obesity between white and black adults in the United States. Accounting for the disparity is a challenge given the variety of the contributing factors, the nature of the association, and the multilevel relationships among the factors. We used the multivariable mediation analysis (MMA) method to explore the racial disparity in obesity considering not only the individual behavior but also geospatially derived environmental risk factors. Results from generalized linear models (GLM) were compared with those from multiple additive regression trees (MART) which allow for hierarchical data structure, and fitting of nonlinear and complex interactive relationships. As results, both individual and geographically defined factors contributed to the racial disparity in obesity. MART performed better than GLM models in that MART explained a larger proportion of the racial disparity in obesity. However, there remained disparities that cannot be explained by factors collected in this study.

Racial differences in neighborhood disadvantage, inflammation and metabolic control in black and white pediatric type 1 diabetes patients.

BACKGROUND: Racial variation in the relationship between blood glucose and hemoglobin A1c (HbA1c) complicates diabetes diagnosis and management in racially mixed populations. Understanding why HbA1c is persistently higher in blacks than whites could help reduce racial disparity in diabetes outcomes. OBJECTIVE: Test the hypothesis that neighborhood disadvantage is associated with inflammation and poor metabolic control in a racially mixed population of pediatric type 1 diabetes patients. METHODS: Patients (n = 86, 53 white, 33 black) were recruited from diabetes clinics. Self-monitored mean blood glucose (MBG) was downloaded from patient glucose meters. Blood was collected for analysis of HbA1c and C-reactive protein (CRP). Patient addresses and census data were used to calculate a concentrated disadvantage index (CDI). High CDI reflects characteristics of disadvantaged neighborhoods. RESULTS: HbA1c and MBG were higher (p < 0.0001) in blacks [10.4% (90.3 mmol/mol), 255 mg/dL] than whites [8.9% (73.9 mmol/mol), 198 mg/dL). CDI was higher in blacks (p < 0.0001) and positively correlated with HbA1c (r = 0.40, p = 0.0002) and MBG (r = 0.35, p = 0.0011) unless controlled for race. CDI was positively associated with CRP by linear regression within racial groups. CRP was not different between racial groups, and was not correlated with MBG, but was positively correlated with HbA1c when controlled for race (p = 0.04). CONCLUSIONS: Neighborhood disadvantage was associated with inflammation and poor metabolic control in pediatric type 1 diabetes patients. Marked racial differences in potential confounding factors precluded differentiation between genetic and environmental effects. Future studies should recruit patients matched for neighborhood characteristics and treatment regimen to more comprehensively assess racial variation in HbA1c.

Incarcerated Black Women in the Southern USA: A Narrative Review of STI and HIV Risk and Implications for Future Public Health Research, Practice, and Policy.

Incarcerated black women in the southern USA are understudied despite the high prevalence of sexually transmitted infections (STI) and human immunodeficiency virus (HIV). These incarceration and health disparities are rooted in centuries of historically inequitable treatment. Amidst the current dialogue on mass incarceration in the south and its relationship to the health of the black community, individual and environmental risk factors for STI/HIV transmission are seldom paired with discussions of evidence-based solutions. A narrative review of the literature from January 1995 to May 2015 was conducted. This sample of the literature (n = 18) revealed that partner concurrency, inconsistent condom use, sex work, previous STI, and drug abuse augmented individual STI/HIV risk. Recommended interventions include those which promote healthier relationships, cultural competence, and gender specificity, as well as those that enhance prevention skills. Policy recommendations include improving cultural sensitivity, cultural competence, and cultural humility training for clinicians, as well as substantially increasing funding for prevention, treatment, and rehabilitative services. These recommendations are timely given the recent national attention to incarceration, STI, and HIV disparities, particularly in the southern USA.

A Reliable, Feasible Method to Observe Neighborhoods at High Spatial Resolution.

INTRODUCTION: Systematic social observation (SSO) methods traditionally measure neighborhoods at street level and have been performed reliably using virtual applications to increase feasibility. Research indicates that collection at even higher spatial resolution may better elucidate the health impact of neighborhood factors, but whether virtual applications can reliably capture social determinants of health at the smallest geographic resolution (parcel level) remains uncertain. This paper presents a novel, parcel-level SSO methodology and assesses whether this new method can be collected reliably using Google Street View and is feasible. METHODS: Multiple raters (N=5) observed 42 neighborhoods. In 2016, inter-rater reliability (observed agreement and kappa coefficient) was compared for four SSO methods: (1) street-level in person; (2) street-level virtual; (3) parcel-level in person; and (4) parcel-level virtual. Intra-rater reliability (observed agreement and kappa coefficient) was calculated to determine whether parcel-level methods produce results comparable to traditional street-level observation. RESULTS: Substantial levels of inter-rater agreement were documented across all four methods; all methods had >70% of items with at least substantial agreement. Only physical decay showed higher levels of agreement (83% of items with >75% agreement) for direct versus virtual rating source. Intra-rater agreement comparing street- versus parcel-level methods resulted in observed agreement >75% for all but one item (90%). CONCLUSIONS: Results support the use of Google Street View as a reliable, feasible tool for performing SSO at the smallest geographic resolution. Validation of a new parcel-level method collected virtually may improve the assessment of social determinants contributing to disparities in health behaviors and outcomes.