Assessment of personal care product use and perceptions of use in a sample of US adults affiliated with a university in the Northeast.

Evidence supports unequal burdens of chemical exposures from personal care products (PCPs) among some groups, namely femme-identifying and racial and ethnic minorities. In this study, we implemented an online questionnaire to assess PCP purchasing and usage behaviors and perceptions of use among a sample of US adults recruited at a Northeastern university. We collected PCP use across seven product categories (hair, beauty, skincare, perfumes/colognes, feminine hygiene, oral care, other), and behaviors, attitudes, and perceptions of use and safety across sociodemographic factors to evaluate relationships between sociodemographic factors and the total number of products used within the prior 24-48 h using multivariable models. We also summarized participants' perceptions and attitudes. Among 591 adults (20.0% Asian American/Pacific Islander [AAPI], 5.9% Hispanic, 9.6% non-Hispanic Black [NHB], 54.6% non-Hispanic White [NHW], and 9.9% multiracial or other), the average number of PCPs used within the prior 24-48 h was 15.6 ± 7.7. PCP use was greater among females than males (19.0 vs. 7.9, P < 0.01) and varied by race and ethnicity among females. Relative to NHWs, AAPI females used fewer hair products (2.5 vs. 3.1) and more feminine hygiene products (1.5 vs. 1.1), NHB females used more hair products (3.8 vs. 3.1), perfumes (1.0 vs. 0.6), oral care (2.3 vs. 1.9), and feminine hygiene products (1.8 vs. 1.1), and multiracial or other females used more oral care (2.2 vs. 1.9) and feminine hygiene products (1.5 vs. 1.1) (P-values <0.05). Generally, study participants reported moderate concern about exposures and health effects from using PCPs, with few differences by gender, race, and ethnicity. These findings add to the extant literature on PCP use across sociodemographic characteristics. Improving the understanding of patterns of use for specific products and their chemical ingredients is critical for developing interventions to reduce these exposures, especially in vulnerable groups with an unequal burden of exposure.

Financial hardship among cancer survivors in Southern New Jersey.

PURPOSE: To identify predictors of financial hardship, operationalized as foregoing health care, making financial sacrifices, and being concerned about having inadequate financial and insurance information. METHODS: Cancer survivors (n = 346) identified through the New Jersey State Cancer Registry were surveyed from August 2018 to September 2019. Multivariable logistic regression analyses were performed. RESULTS: Cancer survivors with household incomes less than $50,000 annually were more likely than those earning $50,0000-$90,000 to report foregoing health care (15.8 percentage points, p < 0.05). Compared to retirees, survivors who were currently unemployed, disabled, or were homemakers were more likely to forego doctor's visits (11.4 percentage points, p < 0.05), more likely to report borrowing money (16.1 percentage points, p < 0.01), and more likely to report wanting health insurance information (25.7 percentage points, p < 0.01). Employed survivors were more likely than retirees to forego health care (16.8 percentage points, p < 0.05) and make financial sacrifices (20.0 percentage points, p < 0.01). Survivors who never went to college were 9.8 percentage points (p < 0.05) more likely to borrow money compared to college graduates. Black survivors were more likely to want information about dealing with financial and insurance issues (p < 0.01); men were more likely to forego health care (p < 0.05). CONCLUSION: Findings highlight the role of employment status and suggest that education, income, race, and gender also shape cancer survivors' experience of financial hardship. There is a need to refine and extend financial navigation programs. For employed survivors, strengthening family leave policies would be desirable.

Spatial predictive properties of built environment characteristics assessed by drop-and-spin virtual neighborhood auditing.

BACKGROUND: Virtual neighborhood audits have been used to visually assess characteristics of the built environment for health research. Few studies have investigated spatial predictive properties of audit item responses patterns, which are important for sampling efficiency and audit item selection. We investigated the spatial properties, with a focus on predictive accuracy, of 31 individual audit items related to built environment in a major Metropolitan region of the Northeast United States. METHODS: Approximately 8000 Google Street View (GSV) scenes were assessed using the CANVAS virtual audit tool. Eleven trained raters audited the 360° view of each GSV scene for 10 sidewalk-, 10 intersection-, and 11 neighborhood physical disorder-related characteristics. Nested semivariograms and regression Kriging were used to investigate the presence and influence of both large- and small-spatial scale relationships as well as the role of rater variability on audit item spatial properties (measurement error, spatial autocorrelation, prediction accuracy). Receiver Operator Curve (ROC) Area Under the Curve (AUC) based on cross-validated spatial models summarized overall predictive accuracy. Correlations between predicted audit item responses and select demographic, economic, and housing characteristics were investigated. RESULTS: Prediction accuracy was better within spatial models of all items accounting for both small-scale and large- spatial scale variation (vs large-scale only), and further improved with additional adjustment for rater in a majority of modeled items. Spatial predictive accuracy was considered 'Excellent' (0.8 ≤ ROC AUC < 0.9) for full models of all but four items. Predictive accuracy was highest and improved the most with rater adjustment for neighborhood physical disorder-related items. The largest gains in predictive accuracy comparing large- + small-scale to large-scale only models were among intersection- and sidewalk-items. Predicted responses to neighborhood physical disorder-related items correlated strongly with one another and were also strongly correlated with racial-ethnic composition, socioeconomic indicators, and residential mobility. CONCLUSIONS: Audits of sidewalk and intersection characteristics exhibit pronounced variability, requiring more spatially dense samples than neighborhood physical disorder audits do for equivalent accuracy. Incorporating rater effects into spatial models improves predictive accuracy especially among neighborhood physical disorder-related items.

Impact of Patient-Provider Race, Ethnicity, and Gender Concordance on Cancer Screening: Findings from Medical Expenditure Panel Survey.

Background: Racial and ethnic minorities experience lower rates of cancer screening compared with non-Hispanic whites (NHWs). Previous studies evaluating the role of patient-provider race, ethnicity, or gender concordance in cancer screening have been inconclusive.Methods: In a cross-sectional analysis using the Medical Expenditure Panel Survey (MEPS), data from 2003 to 2010 were assessed for associations between patient-provider race, ethnicity, and/or gender concordance and, screening (American Cancer Society guidelines) for breast, cervical, and colorectal cancer. Multivariable logistic analyses were conducted to examine associations of interest.Results: Of the 32,041 patient-provider pairs in our analysis, more than 60% of the patients were NHW, 15% were non-Hispanic black (NHB), and 15% were Hispanic. Overall, patients adherent to cancer screening were more likely to be non-Hispanic, better educated, married, wealthier, and privately insured. Patient-provider gender discordance was associated with lower rates of breast [OR, 0.83; 95% confidence interval (CI), 0.76-0.90], cervical (OR, 0.83; 95% CI, 0.76-0.91), and colorectal cancer (OR, 0.84; 95% CI, 0.79-0.90) screening in all patients. This association was also significant after adjusting for racial and/or ethnic concordance. Conversely, among NHWs and NHBs, patient-provider racial and/or ethnic concordance was not associated with screening. Among Hispanics, patient-provider ethnic discordant pairs had higher breast (58% vs. 52%) and colorectal cancer (45% vs. 39%) screening rates compared with concordant pairs.Conclusions: Patient-provider gender concordance positively affected cancer screening. Patient-provider ethnic concordance was inversely associated with receipt of cancer screening among Hispanics. This counter-intuitive finding requires further study.Impact: Our findings highlight the importance of gender concordance in improving cancer screening rates. Cancer Epidemiol Biomarkers Prev; 26(12); 1804-11. ©2017 AACR.

Impact of patient navigation in eliminating economic disparities in cancer care.

BACKGROUND: Patient navigation may reduce cancer disparities associated with socioeconomic status (SES) and household factors. This study examined whether these factors were associated with delays in diagnostic resolution among patients with cancer screening abnormalities and whether patient navigation ameliorated these delays. METHODS: This study analyzed data from 5 of 10 centers of the National Cancer Institute's Patient Navigation Research Program, which collected SES and household data on employment, income, education, housing, marital status, and household composition. The primary outcome was the time to diagnostic resolution after a cancer screening abnormality. Separate adjusted Cox proportional hazard models were fit for each SES and household factor, and an interaction between that factor and the intervention status was included. RESULTS: Among the 3777 participants (1968 in the control arm and 1809 in the navigation intervention arm), 91% were women, and the mean age was 44 years; 43% were Hispanic, 28% were white, and 27% were African American. Within the control arm, the unemployed experienced a longer time to resolution than those employed full-time (hazard ratio [HR], 0.85; P = .02). Renters (HR, 0.81; P = .02) and those with other (ie, unstable) housing (HR, 0.60; P < .001) had delays in comparison with homeowners. Never married (HR, 0.70; P < .001) and previously married participants (HR, 0.85; P = .03) had a longer time to care than married participants. There were no differences in the time to diagnostic resolution with any of these variables within the navigation intervention arm. CONCLUSIONS: Delays in diagnostic resolution exist by employment, housing type, and marital status. Patient navigation eliminated these disparities in the study sample. These findings demonstrate the value of providing patient navigation to patients at high risk for delays in cancer care.