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1.
Soc Psychiatry Psychiatr Epidemiol ; 54(5): 533-541, 2019 May.
Article in English | MEDLINE | ID: mdl-30671599

ABSTRACT

PURPOSE: Because segregation may shield blacks from discrimination as well as increase their exposure to concentrated poverty, its net impact on the mental well-being of black Americans is unclear. We investigated the intersection between segregation, neighborhood poverty, race, and psychological well-being. METHODS: Using data from the nationally representative 2008-2013 National Health Interview Survey merged with U.S. Census data, we examined the association between black-white metropolitan segregation (D-index and P-index) and psychological distress (a binary indicator based on the Kessler 6 score ≥ 13) for blacks and whites. Furthermore, we assessed whether neighborhood poverty explains and/or modifies the association. Logistic regression models were estimated separately for blacks and whites as well as for each segregation index. RESULTS: Higher D- and P-indices were associated with higher odds of psychological distress for blacks. Neighborhood poverty explained some, but not all, of the association. In models that allowed for the impact of metropolitan segregation to vary by neighborhood poverty, higher segregation was found to be detrimental for blacks who resided in high poverty neighborhoods but not for those living in low poverty neighborhoods. We found no evidence that segregation impacts the mental health of whites-either detrimentally or beneficially-regardless of neighborhood poverty level. CONCLUSIONS: The impact of segregation differs by neighborhood poverty and race. The psychological harm of structural racism, resulting in segregation and concentrated poverty, is not additive but multiplicative, reflecting a "triple jeopardy" for blacks, whereby their mental health is detrimentally impacted by the compounded effects of both neighborhood distress and racial segregation.


Subject(s)
Black or African American/psychology , Mental Disorders/epidemiology , Poverty/psychology , Residence Characteristics/statistics & numerical data , Social Segregation/psychology , Adult , Female , Humans , Logistic Models , Male , Mental Disorders/ethnology , Mental Disorders/psychology , Mental Health/ethnology , Mental Health/statistics & numerical data , Middle Aged , Poverty/ethnology , United States/epidemiology , Urban Population/statistics & numerical data , White People/psychology
2.
J Rural Health ; 38(2): 409-415, 2022 Mar.
Article in English | MEDLINE | ID: mdl-34506669

ABSTRACT

PURPOSE: Rural preventable cancer disparities are often attributed in part to lower screening rates secondary to compromised health care access. When considering higher cervical cancer incidence and mortality, existing analyses primarily consider differences in Pap testing rather than the preferred method of HPV testing, which is more sensitive in identifying severe cases of cervical dysplasia. METHODS: Logistic regression using data from the 2016 and 2018 Behavioral Risk Factor Surveillance System was used to examine urban and rural rates of cervical cancer screening according to national guidelines. Propensity score weighting was used to account for baseline sociodemographic differences between rural and urban populations in the 2016 landline sample. FINDINGS: In 2016 and 2018, rural women were less likely than urban women to have current cervical cancer screening. This disparity was explained by sociodemographic variables in 2016. Among women with current cervical cancer screening, rural women were significantly less likely than urban women to undergo HPV testing in both 2016 and 2018. CONCLUSION: Rural women with current cervical cancer screening were significantly less likely than their urban counterparts to have HPV testing. It is possible that updates to preventive care guidelines may be slower to reach rural providers, rural patients may be unaware that HPV testing was completed, or rural practice configuration may complicate the integration of HPV testing into clinical practice. Failure to undergo HPV testing may lead to delayed cervical dysplasia diagnosis, missed opportunities for early intervention, and contribute to rural/urban disparities in cervical cancer incidence and mortality.


Subject(s)
Papillomavirus Infections , Uterine Cervical Neoplasms , Early Detection of Cancer/methods , Female , Humans , Male , Mass Screening , Papillomavirus Infections/diagnosis , Papillomavirus Infections/epidemiology , Papillomavirus Infections/prevention & control , Rural Population , Uterine Cervical Neoplasms/prevention & control , Vaginal Smears
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