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  1. 32161
    “…Person-level moderators of race, body- and eating-related factors, and sexual minority–specific factors will also be examined to better understand how real-world binge eating predictors may differ for various demographic groups (aim 3). …”
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  2. 32162
    “…RESULTS: Among 210 669 participants, 51.0% were female, 18.3% were Hispanic, 12.3% were non-Hispanic Black, 60.3% were non-Hispanic White, and 9.2% were of other races and/or ethnicities. A total of 180 084 participants were respondents to the 2018 CPS, and 30 585 were respondents to the 2017 MEPS. …”
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  3. 32163
  4. 32164
    “…All models controlled for age, sex, race/ethnicity, insurance status, and BMI. RESULTS: Topic modeling yielded 10 topics per subgroup and highlighted unique comorbidities associated with UOU and COVID-19 (eg, HIV) and no UOU and COVID-19 (eg, diabetes). …”
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  5. 32165
    “…METHODS: For each calendar year, among PWH in care in the UNC CFAR HIV Clinical Cohort (defined as having a clinic visit in the current or prior year), we estimated the percent of patients with ≥ 1 ED visit in a given year, overall and by age, gender, race/ethnicity, HIV viral load (VL), and CD4 count. …”
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  6. 32166
    “…Eligible participants met the following criteria: cisgender men, self-identified Black race and/or Hispanic ethnicity, 18 years or older, reporting unknown or HIV-negative status, currently residing in the US, and reporting anal or vaginal sex in the past six months. …”
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  7. 32167
    “…Participants were racially diverse (8/131, 6.1% American Indian individuals; 27/131, 20.6% Asian individuals; 23/131, 17.6% Black individuals; 26/131, 19.8% Latinx individuals; 8/131, 6.1% Pacific Islander individuals; 49/131, 37.4% White individuals; and 2/131, 1.5% individuals who identified as “other” race and ethnicity). Advertisements were cost-effective (US $0.66 per click on Facebook and US $0.47 per click on Reddit). …”
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  8. 32168
  9. 32169
    “…Slightly more than half of adults (52%-54% across the 6 samples) were women, and the majority were of non-Hispanic White race and ethnicity. Cox proportional hazards models were developed with covariates that included time-dependent tobacco use variables mutually adjusted for each other. …”
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  10. 32170
  11. 32171
    “…RESULTS: The final sample included 9642 adults 20 years or older, which is representative of 158.1 million noninstitutionalized US adults, with 52.15% (n=5169) being male and 70.8% (n=4443) being non-Hispanic White. Gender, age group, race, education level, income level, marital status, smoking status, alcoholism, VAI, cardiovascular disease, and diabetes were all correlated with the PA pattern, but no relationship between hypertension and PA pattern was observed. …”
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  12. 32172
    “…Overall and cause-specific mortality rate ratios (MRRs) were estimated using Poisson models, adjusted for index age, index year, race and ethnicity, Index of Multiple Deprivation, smoking status, alcohol use, and body mass index. …”
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  13. 32173
    “…DISCUSSION: The variety in nationality and race across the sample presented important findings pertaining to ill-treatment, fetishization, and violence each group of women faced. …”
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  14. 32174
  15. 32175
    “…We also examined whether 13 baseline variables that included a variety of demographics (eg, race and ethnicity, gender, and age) and smoking characteristics (eg, use of e-cigarettes and confidence in being smoke free) might improve this prediction. …”
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  16. 32176
    “…We used a logistic mixed model to examine the association between weekly self-efficacy and weekly step goal success, controlling for age, BMI, self-reported White race, having a college education or higher, being married, and being employed. …”
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  17. 32177
    “…Categorical variables were described with unweighted sample counts and weighted percentages. Age, sex, race, preterm birth status, medication, behavioral treatment, household poverty level, and the educational level of the primary caregivers were included as covariates. …”
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  18. 32178
    “…Control variables were age, sex, education, health status, race and ethnicity, income, primary language, and previous health literacy. …”
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  19. 32179
    “…RESULTS: A total of 239 patients (mean [SD] age, 34 [7] years; 189 [79.1%] White [11 (5.8%) identified as White mixed with another ethnicity], 1 [0.4%] Black or African American, 29 [12.1%] Asian, 2 [0.8%] Native Hawaiian or Pacific Islander, 16 [6.7%] other, and 2 [0.8%] mixed race or ethnicity) with follow-up data at more than 4 months after surgery were included in this study (71.0% follow-up rate). …”
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  20. 32180
    “…DESIGN, SETTING, AND PARTICIPANTS: Staggered-adoption difference-in-difference analyses were used to estimate the role of MCL and RCL in the increases in prevalence of CUD diagnoses, fitting a linear binomial regression model with fixed effects for state, categorical year, time-varying cannabis law status, state-level sociodemographic covariates, and patient age group, sex, and race and ethnicity. Patients aged 18 to 75 years with 1 or more VHA primary care, emergency department, or mental health visit and no hospice/palliative care within a given calendar year were included. …”
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