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Waterman, Pamela

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Waterman

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Pamela

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Waterman, Pamela
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Now showing 1 - 9 of 9
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    Combining Explicit and Implicit Measures of Racial Discrimination in Health Research
    (American Public Health Association, 2010) Krieger, Nancy; Carney, Dana; Lancaster, Katie; Waterman, Pamela; Kosheleva, Anna; Banaji, Mahzarin
    Objectives. To improve measurement of discrimination for health research, we sought to address the concern that explicit self-reports of racial discrimination may not capture unconscious cognition. Methods. We used 2 assessment tools in our Web-based study: a new application of the Implicit Association Test, a computer-based reaction-time test that measures the strength of association between an individual’s self or group and being a victim or perpetrator of racial discrimination, and a validated explicit self-report measure of racial discrimination. Results. Among the 442 US-born non-Hispanic Black participants, the explicit and implicit measures, as hypothesized, were weakly correlated and tended to be independently associated with risk of hypertension among persons with less than a college degree. Adjustments for both measures eliminated the significantly greater risk for Blacks than for Whites (odds ratio=1.4), reducing it to 1.1 (95% confidence interval=0.7, 1.7).Conclusions. Our results suggest that the scientific rigor of research on racism and health will be improved by investigating how both unconscious and conscious mental awareness of having experienced discrimination matter for somatic and mental health.
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    Racial Discrimination & Cardiovascular Disease Risk: My Body My Story Study of 1005 US-Born Black and White Community Health Center Participants (US)
    (Public Library of Science, 2013) Krieger, Nancy; Waterman, Pamela; Kosheleva, Anna; Chen, Jarvis; Smith, Kevin W.; Carney, Dana R.; Bennett, Gary G.; Williams, David; Thornhill, Gisele; Freeman, Elmer R.
    Objectives: To date, limited and inconsistent evidence exists regarding racial discrimination and risk of cardiovascular disease (CVD). Methods: Cross-sectional observational study of 1005 US-born non-Hispanic black (n = 504) and white (n = 501) participants age 35–64 randomly selected from community health centers in Boston, MA (2008–2010; 82.4% response rate), using 3 racial discrimination measures: explicit self-report; implicit association test (IAT, a time reaction test for self and group as target vs. perpetrator of discrimination); and structural (Jim Crow status of state of birth, i.e. legal racial discrimination prior 1964). Results: Black and white participants both had adverse cardiovascular and socioeconomic profiles, with black participants most highly exposed to racial discrimination. Positive crude associations among black participants occurred for Jim Crow birthplace and hypertension (odds ratio (OR) 1.92, 95% confidence interval (CI) 1.28, 2.89) and for explicit self-report and the Framingham 10 year CVD risk score (beta = 0.04; 95% CI 0.01, 0.07); among white participants, only negative crude associations existed (for IAT for self, for lower systolic blood pressure (SBP; beta = −4.86; 95% CI −9.08, −0.64) and lower Framingham CVD score (beta = −0.36, 95% CI −0.63, −0.08)). All of these associations were attenuated and all but the white IAT-Framingham risk score association were rendered null in analyses that controlled for lifetime socioeconomic position and additional covariates. Controlling for racial discrimination, socioeconomic position, and other covariates did not attenuate the crude black excess risk for SBP and hypertension and left unaffected the null excess risk for the Framingham CVD score. Conclusion: Despite worse exposures among the black participants, racial discrimination and socioeconomic position were not associated, in multivariable analyses, with risk of CVD. We interpret results in relation to constrained variability of exposures and outcomes and discuss implications for valid research on social determinants of health.
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    Analyzing historical trends in breast cancer biomarker expression: a feasibility study (1947–2009)
    (2016) Krieger, Nancy; Habel, Laurel A; Waterman, Pamela; Shabani, Melina; Ellison-Loschmann, Lis; Achacoso, Ninah S; Acton, Luana; Schnitt, Stuart
    BACKGROUND/OBJECTIVES Determining long-term trends in tumor biomarker expression is essential for understanding aspects of tumor biology amenable to change. Limiting the availability of such data, currently used assays for biomarkers are relatively new. For example, assays for the estrogen receptor (ER), which are the oldest, extend back only to the 1970s. METHODS To extend scant knowledge about the feasibility of obtaining long-term data on tumor biomarkers, we randomly selected 60 breast cancer cases (10 per decade) diagnosed between 1947–2009 among women members of the Kaiser Permanente Northern California health plan to obtain and analyze their formalin-fixed paraffin-embedded (FFPE) tumor specimens. For each tumor specimen, we created duplicate tissue microarrays for analysis. RESULTS We located tumor blocks and pathology reports for 50 of the 60 cases (83%), from which we randomly sampled 5 cases per decade for biomarker analysis (n = 30). All 30 cases displayed excellent morphology and exhibited biomarkers compatible with histologic type and grade. Test–retest reliability was also excellent: 100% for ER; 97% for human epidermal growth factor receptor 2 and epidermal growth factor receptor; 93% for progesterone receptor and cytokeratin 5/6; and 90% for Ki67 and molecular phenotype; the kappa statistic was excellent (>0.9) for 4 of the 7 biomarkers, strong (0.6–0.8) for 2, and fair for only 1 (owing to low prevalence). CONCLUSIONS These results indicate immunostaining for biomarkers commonly used to evaluate breast cancer biology and assign surrogate molecular phenotypes can reliably be employed on archival FFPE specimens up to 60 years old.
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    Police Killings and Police Deaths Are Public Health Data and Can Be Counted
    (Public Library of Science, 2015) Krieger, Nancy; Chen, Jarvis; Waterman, Pamela; Kiang, Mathew; Feldman, Justin Michael
    Nancy Krieger and colleagues argue that law-enforcement–related deaths in the United States should be treated as notifiable conditions, which would allow public health departments to report these data in real-time.
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    Temporal Trends in the Black/White Breast Cancer Case Ratio for Estrogen Receptor Status: Disparities Are Historically Contingent, Not Innate
    (Springer Science and Business Media LLC, 2010-12-25) Krieger, Nancy; Chen, Jarvis; Waterman, Pamela
    Objective: For at least three decades, many investigators have reported on the US black/white breast cancer case ratio for estrogen receptor (ER) status as if it reflected an intrinsic biological difference. In light of racial/ethnic differences in declines in the incidence of ER+ breast cancer, as linked to changing use of hormone therapy, we empirically tested whether the black/white breast cancer estrogen receptor ratio has changed over time. Methods: We examined temporal trends in the odds of being ER+ among white as compared to black women among all cases of invasive breast cancer occurring among women residing in the catchment area of the SEER 13 Registries Database between 1992 and 2005. Results: During the study period, the odds of being ER+ among the white compared to black cases increased from 1992 to 2002 (a statistically significant joinpoint; p < 0.05; peak odds ratio (2002) = 2.25 (95% confidence interval 2.13, 2.39)). Thereafter, the odds ratio leveled off (post-2002 slope not significantly different from zero; p = 0.326). Among women aged 45–54, moreover, the post-2002 decline tended toward statistical significance (p = 0.0891). Conclusions: The results suggest the black/white breast cancer case estrogen receptor ratio is historically contingent, not innate.
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    Exposing Racial Discrimination: Implicit & Explicit Measures–The My Body, My Story Study of 1005 US-Born Black & White Community Health Center Members
    (Public Library of Science (PLoS), 2011-11-18) Krieger, Nancy; Waterman, Pamela; Kosheleva, Anna; Chen, Jarvis; Carney, Dana; Smith, Kevin; Bennett, Gary; Williams, David R.; Freeman, Elmer; Russell, Beverley; Thornhill, Gisele; Mikolowsky, Kristin; Rifkin, Rachel; Samuel, Latrice; Williams, David
    Background: To date, research on racial discrimination and health typically has employed explicit self-report measures, despite their potentially being affected by what people are able and willing to say. We accordingly employed an Implicit Association Test (IAT) for racial discrimination, first developed and used in two recent published studies, and measured associations of the explicit and implicit discrimination measures with each other, socioeconomic and psychosocial variables, and smoking. Methodology/Principal Findings: Among the 504 black and 501 white US-born participants, age 35–64, randomly recruited in 2008–2010 from 4 community health centers in Boston, MA, black participants were over 1.5 times more likely (p<0.05) to be worse off economically (e.g., for poverty and low education) and have higher social desirability scores (43.8 vs. 28.2); their explicit discrimination exposure was also 2.5 to 3.7 times higher (p<0.05) depending on the measure used, with over 60% reporting exposure in 3 or more domains and within the last year. Higher IAT scores for target vs. perpetrator of discrimination occurred for the black versus white participants: for “black person vs. white person”: 0.26 vs. 0.13; and for “me vs. them”: 0.24 vs. 0.19. In both groups, only low non-significant correlations existed between the implicit and explicit discrimination measures; social desirability was significantly associated with the explicit but not implicit measures. Although neither the explicit nor implicit discrimination measures were associated with odds of being a current smoker, the excess risk for black participants (controlling for age and gender) rose in models that also controlled for the racial discrimination and psychosocial variables; additional control for socioeconomic position sharply reduced and rendered the association null. Conclusions: Implicit and explicit measures of racial discrimination are not equivalent and both warrant use in research on racial discrimination and health, along with data on socioeconomic position and social desirability.
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    The Unique Impact of Abolition of Jim Crow Laws on Reducing Inequities in Infant Death Rates and Implications for Choice of Comparison Groups in Analyzing Societal Determinants of Health
    (American Public Health Association, 2013-12) Krieger, Nancy; Coull, Brent; Beckfield, Jason; Chen, Jarvis; Waterman, Pamela
    Objectives. We explored associations between the abolition of Jim Crow laws (i.e., state laws legalizing racial discrimination overturned by the 1964 US Civil Rights Act) and birth cohort trends in infant death rates.Methods. We analyzed 1959 to 2006 US Black and White infant death rates within and across sets of states (polities) with and without Jim Crow laws.Results. Between 1965 and 1969, a unique convergence of Black infant death rates occurred across polities; in 1960 to 1964, the Black infant death rate was 1.19 times higher (95% confidence interval [CI] = 1.18, 1.20) in the Jim Crow polity than in the non-Jim Crow polity, whereas in 1970 to 1974 the rate ratio shrank to and remained at approximately 1 (with the 95% CI including 1) until 2000, when it rose to 1.10 (95% CI = 1.08, 1.12). No such convergence occurred for Black-White differences in infant death rates or for White infants.Conclusions. Our results suggest that abolition of Jim Crow laws affected US Black infant death rates and that valid analysis of societal determinants of health requires appropriate comparison groups.
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    50-year trends in US socioeconomic inequalities in health: US-born Black and White Americans, 1959–2008
    (Oxford University Press (OUP), 2014-03-16) Krieger, Nancy; Kosheleva, Anna; Waterman, Pamela; Chen, Jarvis; Beckfield, Jason; Kiang, Mathew V
    Background: Debates exist over whether health inequities are bound to rise as population health improves, due to health improving more quickly among the better off, with most analyses focused on mortality data. Methods: We analysed 50 years of socioeconomic inequities in measured health status among US-born Black and White Americans, using data from the National Health Examination Surveys (NHES) I-III (1959–70), National Health and Nutrition Examination Surveys (NHANES) I-III (1971–94) and NHANES 1999–2008. Results: Absolute US socioeconomic health inequities for income percentile and education variously decreased (serum cholesterol; childhood height), stagnated [systolic blood pressure (SBP)], widened [body mass index (BMI), waist circumference (WC)] and in some cases reversed (age at menarche), even as on-average values rose (BMI, WC), idled (childhood height) and fell (SBP, serum cholesterol, age at menarche), with patterns often varying by race/ethnicity and socioeconomic measure; similar results occurred for relative inequities. For example, for WC, the adverse 20th (low) vs 80th (high) income percentile gap increased only among Whites (NHES I: 0.71 cm [95% confidence interval (CI) −0.74, 2.16); NHANES 2005–08: 2.10 (95% CI 0.96, 3.62)]. By contrast, age at menarche for girls in the 20th vs 80th income percentile among Black girls remained consistently lower, by 0.34 years (95% CI 0.12, 0.55) whereas among White girls the initial null difference became inverse [NHANES 2005–08: −0.49 years (95% CI −0.86, −0.12; overall P = 0.0015)]. Adjusting for socioeconomic position only modestly altered Black/White health inequities. Conclusions: Health inequities need not rise as population health improves.
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    The Fall and Rise of US Inequities in Premature Mortality: 1960–2002
    (Public Library of Science (PLoS), 2008-02-26) Krieger, Nancy; Rehkopf, David H; Chen, Jarvis; Waterman, Pamela; Marcelli, Enrico; Kennedy, Malinda
    Background Debates exist as to whether, as overall population health improves, the absolute and relative magnitude of income- and race/ethnicity-related health disparities necessarily increase—or derease. We accordingly decided to test the hypothesis that health inequities widen—or shrink—in a context of declining mortality rates, by examining annual US mortality data over a 42 year period. Methods and Findings Using US county mortality data from 1960–2002 and county median family income data from the 1960–2000 decennial censuses, we analyzed the rates of premature mortality (deaths among persons under age 65) and infant death (deaths among persons under age 1) by quintiles of county median family income weighted by county population size. Between 1960 and 2002, as US premature mortality and infant death rates declined in all county income quintiles, socioeconomic and racial/ethnic inequities in premature mortality and infant death (both relative and absolute) shrank between 1966 and 1980, especially for US populations of color; thereafter, the relative health inequities widened and the absolute differences barely changed in magnitude. Had all persons experienced the same yearly age-specific premature mortality rates as the white population living in the highest income quintile, between 1960 and 2002, 14% of the white premature deaths and 30% of the premature deaths among populations of color would not have occurred. Conclusions The observed trends refute arguments that health inequities inevitably widen—or shrink—as population health improves. Instead, the magnitude of health inequalities can fall or rise; it is our job to understand why.