Mostrando 48,281 - 48,300 Resultados de 48,635 Para Buscar 'Wacoal~', tiempo de consulta: 1.75s Limitar resultados
  1. 48281
    “…Complicações na internação: lesão por pressão em região sacral, pneumonia associada à ventilação mecânica, infecção de corrente sanguínea e sarcopenia. …”
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  2. 48282
    “…Conclusions: Consuming more sugary foods and SSBs during the first phase of the pandemic was higher in younger adults, lower-income adults, people of racial/ethnic minority groups, and adults with obesity. …”
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  3. 48283
    “…CONCLUSIONS: Patient portals are an effective way to recruit participants for research studies, but there are substantial racial and ethnic disparities and disparities by urban/rural status in the use of patient portals, the opening of a patient portal invitation, and enrollment in the study. …”
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  4. 48284
    “…If found efficacious, IY has the potential to prevent behavioral health disparities in this understudied and high-risk Filipino population and can be scaled, adapted, and implemented in other at-risk racial and ethnic minority communities. TRIAL REGISTRATION: ClinicalTrials.gov NCT04031170; https://clinicaltrials.gov/ct2/show/NCT04031170 INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/21867…”
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  5. 48285
    “…RESULTS: The final cohort of 6453 participants included 3986 (61.8%) childless adults; 5741 (89%) were younger than 50 years, 3435 (53.2%) were women, 5036 (78.0%) White, and 22.0% were racial and ethnic minority groups (American Indian, 269 [4.2%]; Asian, 26 [0.4%]; Black, 458 [7.1%]; Hispanic, 292 [4.5%]; Pacific Islander, 1 [.02%]; Multiracial, 238 [3.7%]). …”
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  6. 48286
    “…Participants who received FA due to their burn injury were more likely to be younger (median 42 FA vs 48 NFA, p-value < 0.001), racially minoritized (19.2% FA vs 14.3% NFA, p-value < 0.001), have larger injuries (21% FA vs. 10% TBSA NFA, p-value < 0.001), longer hospital stays (median 29.5 days FA vs. 17 days NFA, p-value < 0.001), more days before returning to work (median 220 days FA vs 79 days NFA, p-value < 0.001), and have a workers compensation insurance payer (23.6% FA vs. 9.38% NFA, p-value < 0.001) compared to peers who did not receive FA. …”
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  7. 48287
    “…CONCLUSIONS AND RELEVANCE: An examination of patient discharge experiences from a hospital or SNF identified inconsistencies in care transition processes, social determinants of health issues needing to be addressed after discharge, and racial disparities between patients who attend follow-up appointments. …”
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  8. 48288
    Publicado 2022
    “…Mental health care access is further impeded by lack of equitably distributed mental health infrastructure with qualified mental health professionals and also by the misinformation,taboos, and stigma attached to the same. Racial, ethnic, gender and sexual minorities suffer poor mental health outcomes due to multiple factors, including, educational status, profession and access to jobs, financial independence, socio cultural restrictions surrounding help seeking behaviour for mental health care, discrimination and overall lack of awareness about mental health. …”
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  9. 48289
    “…CONCLUSIONS AND RELEVANCE: These findings suggest that low zip code–level vaccination rates in Chicago were associated with more deaths during the Alpha and Delta waves of COVID-19 and that inequitable vaccination coverage exacerbated existing racial and ethnic disparities in COVID-19 deaths.…”
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  10. 48290
    “…The 24‐h U‐CER adjustment method can be practically implemented to eGFR‐based care and effectively mitigate the inherent confounding biases from individual's muscle mass amount due to both sex and racial differences.…”
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  11. 48291
    “…CONCLUSIONS AND RELEVANCE: This cross-sectional study found that multiple individual-level socioeconomic and geographic variables were independently associated with poor diet quality among a large, racially and ethnically and geographically diverse US cohort. …”
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  12. 48292
    “…Experiencing cyberbullying remained associated with suicidality when accounting for negative life events, family conflict, parental monitoring, school environment, and racial and ethnic discrimination (OR, 2.5 [95% CI, 2.0-3.0]; P < .001) and when further covarying for internalizing and externalizing psychopathology (OR, 1.8 [95% CI, 1.4-2.4]; P < .001). …”
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  13. 48293
    “…IMPORTANCE: Racial, ethnic, and sex disparities for concussion incidence and suicide attempts in youth have been reported, but data on the interaction of these variables in a large national data set are lacking. …”
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  14. 48294
    “…BACKGROUND: The issue of food insecurity is becoming increasingly important to public health practitioners because of the adverse health outcomes and underlying racial disparities associated with insufficient access to healthy foods. …”
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  15. 48295
    “…The Nationwide Readmissions Database does not provide racial and ethnic categories. The mean (SD) age of the cohort was 69.3 (12) years, and 62.5% of patients were male. …”
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  16. 48296
    “…Among 20 studies with a disproportionately high number of people from marginalized racial or ethnic groups compared with the general US population, 16 (80%) reported increased engagement in health behaviors or better health outcomes. …”
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  17. 48297
    “…MNs of the Onuf’s nucleus in the sacral spinal cord, that innervate sphincter muscles and control urogenital functions, are also spared throughout the disease. …”
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  18. 48298
    “…CONCLUSIONS: Inequities in the initial COVID-19 vaccination and booster rollout in 2 large US metropolitan areas were apparent across racial/ethnic communities, across levels of social vulnerability, over time, and across types of vaccination administration sites. …”
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  19. 48299
    “…OBJECTIVE: The purpose of the present study was to explore the racial disparities in the incidence of deep vein thrombosis (DVT), pulmonary embolism (PE), and acute kidney injury (AKI) in hospitalized patients with coronavirus disease 2019 (COVID-19). …”
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  20. 48300
    “…Studies have shown that older individuals, racial/ethnic minority groups, or populations with lower educational attainment or income have lower rates of using digital health tools. …”
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