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1.
Gerontologist ; 62(5): 762-772, 2022 05 26.
Article in English | MEDLINE | ID: mdl-35084030

ABSTRACT

BACKGROUND AND OBJECTIVES: African American women experience faster telomere shortening (i.e., cellular aging) compared with other racial-gender groups. Prior research demonstrates that race and gender interact to influence culturally specific norms for responding to socially-relevant stress and other stress-coping processes, which may affect healthy aging. RESEARCH DESIGN AND METHODS: Data are from African American Women's Heart & Health Study participants who consented to DNA extraction (n = 140). Superwoman Schema (SWS) was measured using 5 validated subscales: presenting strength, emotion suppression, resisting vulnerability, motivation to succeed, and obligation to help others. Racial identity was measured using 3 subscales from the Multidimensional Inventory of Black Identity: racial centrality, private regard, and public regard. Relative telomere length (rTL) was measured using DNA extracted from blood samples. Path analysis tested associations and interactions between SWS and racial identity dimensions with rTL. RESULTS: For SWS, higher resistance to being vulnerable predicted longer telomeres. For racial identity, high private regard predicted longer telomeres while high public regard predicted shorter telomeres. Interactions were found between public regard and 2 SWS dimensions: among women with high public regard, emotion suppression (ß = 0.20, p < .05) and motivation to succeed (ß = 0.18, p < .05) were associated with longer rTL. The interaction between high centrality and emotion suppression predicted shorter rTL (ß = -0.17, p < .05). DISCUSSION AND IMPLICATIONS: Culturally specific responses to gendered racism and racial identity, developed early in life and shaped over the life course, are important psychosocial determinants of cellular aging among African American women.


Subject(s)
Black or African American , Racism , Adaptation, Psychological , Black or African American/psychology , Cellular Senescence , Female , Humans , Racism/psychology , Women's Health
2.
Article in English | MEDLINE | ID: mdl-35010345

ABSTRACT

In San Francisco (SF), many environmental factors drive the unequal burden of preterm birth outcomes for communities of color. Here, we examine the association between human exposure to lead (Pb) and preterm birth (PTB) in 19 racially diverse SF zip codes. Pb concentrations were measured in 109 hair samples donated by 72 salons and barbershops in 2018-2019. Multi-method data collection included randomly selecting hair salons stratified by zip code, administering demographic surveys, and measuring Pb in hair samples as a biomarker of environmental exposure to heavy metals. Concentrations of Pb were measured by atomic emission spectrometry. Aggregate neighborhood Pb levels were linked to PTB and demographic data using STATA 16 SE (StataCorp LLC, College Station, TX, USA). Pb varied by zip code (p < 0.001) and correlated with PTB (p < 0.01). Increases in unadjusted Pb concentration predicted an increase in PTB (ß = 0.003; p < 0.001) and after adjusting for poverty (ß = 0.002; p < 0.001). Confidence intervals contained the null after further adjustment for African American/Black population density (p = 0.16), suggesting that race is more indicative of high rates of PTB than poverty. In conclusion, Pb was found in every hair sample collected from SF neighborhoods. The highest concentrations were found in predominately African American/Black and high poverty neighborhoods, necessitating public health guidelines to eliminate this environmental injustice.


Subject(s)
Lead , Premature Birth , Black or African American , Humans , Infant, Newborn , Premature Birth/epidemiology , Residence Characteristics , San Francisco/epidemiology
3.
Ann Behav Med ; 55(7): 601-611, 2021 06 28.
Article in English | MEDLINE | ID: mdl-33289498

ABSTRACT

BACKGROUND: Over the life course, African American (AA) women have faster telomere attrition, a biological indicator of accelerated aging, than White women. Race, sex, age, and composite socioeconomic status (SES) modify associations of institutional racial discrimination and telomere length. However, interactions with everyday racial discrimination have not been detected in AA women, nor have interactions with individual socioeconomic predictors. PURPOSE: We estimated statistical interaction of institutional and everyday racial discrimination with age, education, employment, poverty, and composite SES on telomere length among midlife AA women. METHODS: Data are from a cross-section of 140 AA women aged 30-50 years residing in the San Francisco Bay Area. Participants completed questionnaires, computer-assisted self-interviews, physical examinations, and blood draws. Adjusted linear regression estimated bootstrapped racial discrimination-relative telomere length associations with interaction terms. RESULTS: Racial discrimination did not interact with age, poverty, or composite SES measures to modify associations with telomere length. Interactions between independent SES variables were nonsignificant for everyday discrimination whereas institutional discrimination interacted with educational attainment and employment status to modify telomere length. After adjusting for covariates, we found that higher institutional discrimination was associated with shorter telomeres among employed women with lower education (ß = -0.020; 95% confidence interval = -0.036, -0.003). Among unemployed women with higher education, higher institutional discrimination was associated with longer telomeres (ß = 0.017; 95% confidence interval = 0.003, 0.032). Factors related to having a post-high school education may be protective against the negative effects of institutional racism on cellular aging for AA women.


Subject(s)
Black or African American/ethnology , Cellular Senescence/physiology , Educational Status , Employment , Racism/ethnology , Social Class , Telomere Shortening/physiology , Adult , Black or African American/statistics & numerical data , Aging/ethnology , Female , Humans , Middle Aged , Racism/statistics & numerical data , San Francisco/epidemiology , Women's Health/ethnology
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