A pooled case-only analysis of obesity and breast cancer subtype among Black women in the southeastern United States.

PURPOSE: To evaluate the association between obesity and the relative prevalence of tumor subtypes among Black women with breast cancer (BC). METHODS: We conducted a pooled case-only analysis of 1,793 Black women with invasive BC recruited through three existing studies in the southeastern US. Multivariable case-only polytomous logistic regression models were used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the association between obesity, measured by pre-diagnostic body mass index (BMI), and human epidermal growth factor receptor 2 + (HER2 +) and triple negative BC (TNBC) subtype relative to hormone receptor (HR) + /HER2- status (referent). RESULTS: Among 359 premenopausal women, 55.4% of cases were HR + /HER2 -, 20.1% were HER2 + , and 24.5% were TNBC; corresponding percentages among 1,434 postmenopausal women were 59.3%, 17.0%, and 23.6%. Approximately, 50-60% of both pre- and postmenopausal women were obese (BMI > 30 kg/m2), regardless of BC subtype. We did not observe a significant association between obesity and BC subtype. Among postmenopausal women, class I obesity (BMI 35 + kg/m2) was not associated with the development of HER2 + BC (OR 0.69; 95% CI 0.42-1.14) or TNBC (OR 0.93; 95% CI 0.60-1.45) relative to HR + /HER2- tumors. Corresponding estimates among premenopausal women were 1.03 (95% CI 0.43-2.48) and 1.13 (95% CI 0.48-2.64). CONCLUSION: In this large study of Black women with BC, there was no evidence of heterogeneity of BMI by BC subtype.

The Combined Effects of Social Determinants of Health on Childhood Overweight and Obesity.

Background: To characterize the association between multiple social determinants of health (SDOH) and overweight and obesity among US children. Methods: We conducted a cross-sectional analysis using the 2016-2020 National Survey of Children's Health. SDOH domains consisted of Economic Stability, Social and Community Context, Neighborhood and Built Environment, and Health Care Access and Quality. We used ordinal logistic regression to model associations between SDOH and weight status and calculate predicted probabilities of having overweight or obesity for various SDOH profiles. Results: Data from 81,716 children represented a weighted sample of 29,415,016 children ages 10-17 years in the United States. Of these, 17% had overweight and 17% had obesity. Compared with children with the theoretically lowest-risk SDOH profile, children with the highest-risk SDOH profiles in all four domains had an odds ratio of having a higher BMI category of 4.38 (95% confidence interval 1.67-7.09). For the lowest risk profile, the predicted probability of obesity varied from 8% to 11%, depending on race. For the highest risk profile, the predicted probability of obesity varied from 26% to 34%, depending on race. Conclusions: While high-risk values in each SDOH domain were associated with higher predicted probability of overweight and obesity, it was the combination of highest risk values in all the SDOH domains that led to greatest increases. This suggests a complex and multilayered relationship between the SDOH and childhood obesity, necessitating a comprehensive approach to addressing health equity to reduce childhood obesity.

Association of Psychosocial Factors on COVID-19 Testing among YWCA Service Recipients.

The purpose of this study was to examine how psychosocial factors affect receipt of COVID-19 testing among Black and Hispanic women. In this cross-sectional study of Black and Hispanic women who received services from the YWCAs in Atlanta, El Paso, Nashville, and Tucson between 2019 and 2021 (n = 662), we used Patient-Reported Outcomes Measurement Information Systems (PROMIS) item bank 1.0 short forms to examine the impact of psychosocial factors (i.e., depression, anxiety, social isolation, instrumental support, emotional support, and companionship) on COVID-19 testing. Multivariable logistic regression models were used to estimate odds ratios and 95% confidence intervals for receipt of a COVID-19 test associated with psychosocial factors while adjusting for confounders. There was little effect of moderate/severe depressions or anxiety on receipt of COVID-19 testing. Black (odds ratio [OR] 0.58, 95% confidence interval [CI] 0.26-1.29) and Hispanic (OR 0.61, 95% CI 0.38-0.96) women with high levels of emotional support were less likely to receive the COVID-19 test. While high levels of instrumental support was associated with less likely receipt of the COVID-19 test among Black women (OR 0.75, 95% CI 0.34-1.66), it was associated with more likely receipt among Hispanic women (OR 1.19, 95% CI 0.74-1.92). Our findings suggest that certain psychosocial factors influence one's decision to get a COVID-19 test which can be useful in encouraging preventive healthcare such as screening and vaccination.