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Breast Cancer Res Treat ; 202(1): 203-211, 2023 Nov.
Article in English | MEDLINE | ID: mdl-37561280

ABSTRACT

PURPOSE: Shorter breast cancer (BC) survival outcomes persist by neighborhood disadvantage independent of patient, tumor, and treatment characteristics. This suggests unaccounted mechanisms by which neighborhood disadvantage "gets under the skin" to impact BC survival outcomes. Here, we evaluate the relationship between neighborhood disadvantage and clinical and neuroendocrine markers of stress in BC patients. METHODS: Women with stage 0-III BC were enrolled 2-10 weeks post-surgery and before initiating adjuvant treatment in a study examining stress and stress management processes. Women provided an afternoon-evening (PM) serum cortisol sample and were administered the Hamilton Anxiety Rating Scale (HAM-A). Home addresses were used to determine the Area Deprivation Index (ADI), a validated measure of neighborhood disadvantage. Multiple regression assessed the relationship between ADI and PM serum cortisol and the presence of elevated HAM-A symptoms. RESULTS: Our sample (n = 225) was predominately middle-aged (M = 50.4 years; range 23-70 years), non-Hispanic White (64.3%), with stage I (38.1%), or II (38.6%) disease. The majority (n = 175) lived in advantaged neighborhoods (ADI 1-3). After controlling for age, stage, and surgery type, women from high ADI (4-10) (vs low ADI) neighborhoods had higher PM cortisol levels (ß = 0.19, 95% CI [0.24, 5.00], p = 0.031) and were nearly two times as likely to report the presence of elevated anxiety symptoms (OR = 1.96, 95% CI [1.00, 3.86], p = 0.050). CONCLUSION: Neighborhood disadvantage is significantly associated with higher levels of PM cortisol and elevated anxiety symptoms suggesting stress pathways could potentially contribute to relationships between neighborhood disadvantage and BC survival.


Subject(s)
Breast Neoplasms , Hydrocortisone , Middle Aged , Humans , Female , Breast Neoplasms/epidemiology , Breast Neoplasms/therapy , Residence Characteristics , Skin , Neighborhood Characteristics , Socioeconomic Factors
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