“…Individuals who were PBF beneficiaries before leprosy diagnosis were matched to those who were not beneficiaries through propensity-score matching (1:1) with replacement on the basis of baseline covariates, including sex, age, race or ethnicity, education, work, income, place of residence, and household characteristics. …”
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“…Patient characteristics included age at CPI initiation, sex, race/ethnicity, personal and family history of autoimmunity, type of cancer and CPI. …”
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“…The cumulative proportions of patients in whom renin reached target levels during MRA treatment were: 25% at 2 weeks; 38.9% at 1 month; 34.2% at 3 months; 39.5% at 6 months; and 47.2% at 1 year. Age, sex, race, blood pressure, use of beta blockers, renal function, serum K(+) and aldosterone concentrations were similar between patients with target vs. suppressed renin. …”
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“…Population PK analysis indicated no significant impact of baseline age, gender, race, weight, smoking status, renal impairment (mild/moderate), and hepatic function (total bilirubin, aspartate and alanine aminotransferases) on teprotumumab PK. …”
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“…The results of our interim analysis indicate the significant effect of CSII in lowering HbA1c levels in all diabetic patients regardless of sex, race, BMI, type of diabetes, marital status, employment status, level of education, adherence to diabetic diet, physical activity, duration on CSII, and use of other antidiabetic medications. …”
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“…Tukey HSD post-hoc analysis showed weight gain in benign, thyroiditis, and thyroid cancer patient groups was not significantly different from 6-months to 108-months post-operation. Furthermore, neither race nor sex was correlated with weight gain. Relative risks with 95% CI for weight gain following TT and L compared to control are: 1-month TT=1.74, 0.96-3.14, L=1.59, 0.58-2.58; 6-month TT=1.27, 0.85-1.89, L=1.42, 0.85-2.11; 12-month TT=1.44, 0.92-2.28, L=1.34, 0.86-2.36; 24-month TT=1.17, 0.82-1.67, L=1.22, 0.69-1.60. …”
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“…The differences between MUHO and MHO youth in ∆RQ, HIS and ATIS remained significant after adjusting for % body fat, race, pubertal status and VAT. The present study reveals that metabolic inflexibility is not a feature of obesity, rather it is a characteristic of MUHO youth who have significantly lower ∆RQ compared with MHO youth, with no difference between MHO and NW youth. …”
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“…Significant differences in race were found in the DM (80.6% white, 13.6% black, 1.3% hispanic) and non-DM (86.8% white, 8.2% black, 1.8% Hispanic) groups (p=0.002). …”
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“…OBJECTIVE: This study evaluates the effectiveness of a text message quit vaping program (This is Quitting) in promoting abstinence from e-cigarettes among young adults; examines changes in self-efficacy, perceived social norms, and social support for quitting as hypothesized mediators of effectiveness; and examines if treatment effectiveness is moderated by gender, race, ethnicity, or sexual minority status. METHODS: Overall, 2600 young adult (aged 18-24 years) e-cigarette users in the United States will be recruited via web advertisements to participate in the study. …”
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“…When controlling for age, race, gender, and ACE score, the multiple linear regression model accounted for 8.6% of the variability in total CSS-M score (p < 0.001), though only ACE score and age were significant predictors (β = 0.218, p = 0.001; β = -0.167, p = 0.008, respectively). …”
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“…RESULTS: The mean (SD) age of 19 887 participants was 61.8 (10.2) years, and the majority of the HRS participants were women (11 943 [60.1%]) and of white race/ethnicity (16 950 [85.2%]). Low to moderate drinking (<8 drinks per week for women and <15 drinks per week for men) was significantly associated with a consistently high cognitive function trajectory and a lower rate of cognitive decline. …”
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“…From Cox regression modeling, predictors of mortality were age>65 years (HR:2.6 [95% CI:1.9–3.3]), white race (HR:1.7 [95% CI:1.4–2.1]), CKD (HR:1.7 [95%CI:1.4–2.1]), reduced O2 saturation level on admission (HR:1.5 [95%CI:1.1–2.1]), and ventilator use during admission (HR: 2.2 [95%CI:1.4–3.3]). …”
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“…Engagement did not differ by age, gender, education, income, diabetes duration, insulin status, health literacy, or numeracy. Black race and worse baseline medication adherence and HbA1c were each associated with lower engagement, although the effects were small. …”
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“…Patients with a larger body mass index (BMI) who played contact sports were also more likely to have large tears (p = 0.007). Age, race, history of dislocation, injury during sport, or previous shoulder surgery were not associated with having a larger tear. …”
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“…Three hundred two patients (68.0%) were boys, 180 (40.5%) were non-Hispanic White, 170 (38.3%) were Hispanic, 43 (9.7%) were African American, and 51 (11.5%) were Asian or of mixed race/ethnicity. The proportion of patients with adherence rates 95% or higher did not differ between the intervention vs education groups (65% vs 59%; odds ratio, 1.33; 95% CI, 1.0-2.0; P = .08). …”
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“…Data were analyzed from January through August 2019. EXPOSURES: Age, sex, race/ethnicity, county-level percentage of unemployment, rurality, and geography. …”
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“…In this study, we investigated differential effects of consecutive hypoxia and intermittent 24/24-h cycles of H/R on human bronchial epithelial (HBE) cells derived from the same-race and age-matched healthy subjects (i.e., NHBE) and subjects with chronic obstructive pulmonary disease (COPD) (i.e., DHBE). …”
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“…The survey was designed to match population parameters in the US on 5 major dimensions: age, sex, income, race, and census region. We also were able to closely match education. …”
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“…No significant association was found for race/ethnicity (OR, 1.07; 95% CI, 0.85-1.28; P = .56). …”
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“…CONCLUSIONS: FHS utilization in urban poor populations in Brazil was associated with a lower risk of death, with greater reductions among more deprived race/ethnic and socioeconomic groups. Increased investment in primary healthcare is likely to improve health and reduce health inequalities in urban poor populations globally.…”
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