The association between Superwoman schema and subjective sleep quality among Black women.

OBJECTIVES: Similar to women overall, Black women are socialized to be communal and "self-sacrificing," but unlike women from other racial/ethnic backgrounds, Black women are also socialized to be "strong" and "invulnerable." This phenomenon is labeled Superwoman schema. This study examined associations between Superwoman schema endorsement and subjective sleep quality. METHODS: Participants included 405 Black women (ages 30-46). Superwoman schema was measured using a 35-item scale capturing five dimensions: obligation to present strength, suppress emotions, resistance to vulnerability, motivation to succeed, and obligation to help others. Superwoman schema overall and the five dimensions/subscales were analyzed. The Pittsburgh Sleep Quality Index (PSQI) was used to investigate overall subjective sleep quality (range: 0-19), poor sleep quality (PSQI >5), and specific sleep domains (eg, sleep duration, sleep disturbances). We fit linear and binary logistic regression models, adjusting for health-related and sociodemographic factors. RESULTS: Superwoman schema dimension obligation to help others was associated with lower overall subjective sleep quality (ß: .81, 95%CI=0.29, 1.32) and poor sleep quality (OR: 1.55, 95%CI=1.10, 2.19), as well as bad subjective sleep quality (OR: 1.76, 95%CI=1.18, 2.66), sleep disturbances (ß: .73, 95%CI =0.07, 1.41), and daytime sleepiness (OR: 2.01, 95%CI=1.25, 3.26). Suppress emotions (OR: 1.41, 95%CI=1.01, 1.99) was associated with poor subjective sleep quality. Superwoman schema overall was associated with daytime sleepiness (OR: 2.01, 95%CI=1.06, 3.82). CONCLUSION: Superwoman schema endorsement, especially obligation to help others and suppress emotions, may be important psychosocial risk factors for Black women's sleep health.

Does the immigrant health advantage extend to incarcerated immigrants?

•Existing immigrant health research does not include institutionalized populations.•The immigrant health advantage does not extend to all incarcerated immigrant groups.•Differences in health exist by race/ethnicity, U.S. citizenship, and health outcome.•The incarcerated immigrant population has unique health profiles and needs.

Gendered Racial Microaggressions and Black Women's Sleep Health.

Gendered racial microaggressions reflect historical and contemporary gendered racism that Black women encounter. Although gendered racial microaggressions are related to psychological outcomes, it is unclear if such experiences are related to sleep health. Moreover, the health effects of gendered racial microaggressions dimensions are rarely investigated. Using a cohort of Black women (N = 400), this study employs an intracategorical intersectional approach to (1) investigate the association between gendered racial microaggressions and sleep health, (2) assess whether gendered racial microaggressions dimensions are related to sleep health, and (3) examine whether the gendered racial microaggressions-sleep health association persists after accounting for depressive symptoms and worry. Gendered racial microaggressions were associated with poor sleep quality overall and four specific domains: subjective sleep quality, latency, disturbance, and daytime sleepiness. Two gendered racial microaggressions dimensions were especially detrimental for sleep: assumptions of beauty/sexual objectification and feeling silenced and marginalized. After accounting for mental health, the effect of gendered racial microaggressions on sleep was reduced by 47 percent. Future research implications are discussed.

Inequality in Household Job Insecurity and Mental Health: Changes During the COVID-19 Pandemic.

Using nationally representative data from the Household Pulse Survey (April 2020-March 2021), we examined how associations between household job insecurity and mental health changed throughout the first year of the COVID-19 pandemic in the United States (n = 1,248,043). We also documented changes in the unequal distribution of job insecurity by race/ethnicity and educational attainment over time. We find that job insecurity was strongly associated with depression and anxiety throughout the study period, and the associations strengthened as the pandemic continued, especially in fall 2020. Moreover, racial/ethnic minorities with lower levels of educational attainment had the greatest risk of job insecurity, and educational disparities in job insecurity changed over time. Psychological distress during the pandemic, including disparities therein, must be considered a public health priority.

Assessing the Validity of Self-rated Health Across Ethnic Groups: Implications for Health Disparities Research.

OBJECTIVES: This study examines the association between morbidity (i.e., chronic health conditions) and self-rated health (SRH) with the aim of testing the within-group and across-group validity of SRH across nine ethnic groups: non-Latinx White, Mexican, Puerto Rican, Cuban, African American, Afro-Caribbean, Chinese, Filipino, and Vietnamese Americans. In addition, we assess whether acculturation (i.e., nativity, years of US residency, language of interview) and health-related factors (e.g., mental disorder) account for ethnic distinctions in SRH. DESIGN: Data are from the National Survey of American Life (NSAL) and the National Latino and Asian American Study (NLAAS) (N = 8338). Weighted proportions and means for SRH and chronic conditions are reported. Ordered logistic regression analysis is used to determine ethnic group patterns in SRH. RESULTS: Despite evidence of within-group validity of SRH for each ethnic group, our results seriously challenge the across-group validity of SRH. For example, Chinese and Vietnamese respondents report lower SRH despite having fewer chronic conditions relative to non-Latinx Whites. Moreover, Mexican Americans report fewer chronic health problems but lower SRH compared to non-Latinx Whites. Acculturation factors (e.g., language of interview) partially explain the Mexican-White difference in SRH. Among Chinese Americans, completing an interview in English is associated with higher SRH relative to those who completed an interview in Chinese. CONCLUSION: These findings have implications for health disparities research that uses SRH as the dependent measure. Studies that compare the health profiles of diverse ethnic groups should use the SRH measure with caution, as SRH does not align with ethnic patterns of morbidity.

A pragmatic approach to the comparison of wrist-based cutpoints of physical activity intensity for the MotionWatch8 accelerometer in children.

BACKGROUND: A variety of wearable monitors are available for objectively assessing physical activity but there is a lack of established values for the activity intensity of MotionWatch8 (MW8) and a similar lack of studies on comparability across devices. Our study aimed to establish activity intensity cutpoints for the MW8 accelerometer in children, which are necessary to determine whether they are meeting physical activity guidelines. METHODS: Children (n = 39, ages 9-13 years) were asked to wear two different accelerometers (MW8 and ActiGraph) simultaneously on the same dominant wrist as they performed different activities designed to mimic activities of variable intensity that a child might perform in a free-living environment. Linear regression and receiver operating characteristic (ROC) curves were performed to assess sensitivity and specificity of the identified MW8 intensity cutpoints compared to established ActiGraph cutpoints. RESULTS: Mean values for each activity were positively correlated using the MW8 and ActiGraph monitors (r = 0.85, p<0.001). The optimal cutpoints for differentiating sedentary from light physical activity, light from moderate, and moderate from vigorous activity were ≤32 counts, ≥ 371.5 counts, and ≥ 859.5 counts per 30 seconds, respectively. CONCLUSIONS: Our study demonstrated the ability of MW8 to discriminate different intensity activities and provided the first cutoff values for researchers using the MW8 to measure physical activity patterns among children.