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The trace element selenium, which is found in selenoproteins, plays an antioxidant role in preventing muscle tissue injury. A positive association between selenium concentrations and hand grip strength has been reported in older adults; however, the evidence of this association is scarce in general adults. In this study, we aimed to evaluate the association between blood selenium concentrations and low hand grip strength using the data from the National Health and Nutrition Examination Survey 2011–2012 and 2013–2014 in the United States (US). Logistic regression was used to calculate the odds ratio (OR) of low hand grip strength, with blood selenium level adjusted for potential confounders. Among 8158 adults (women: 51.59%) with a mean age of 47 (range: 18–80) years, women and non-Hispanic Blacks tended to have low blood selenium concentrations. Notably, participants with high blood selenium concentrations (range, 178.1–192.5 µg/L) were more likely to have a low risk of low hand grip strength after adjusting for the potential covariates (OR: 0.60, 95% confidence interval (CI): 0.38–0.95) than those with low blood selenium concentrations. After excluding participants with chronic diseases, high blood selenium concentrations were found to be associated with a low risk of low hand grip strength (OR: 0.30, 95% CI: 0.14–0.65). A J-shaped relationship was found between selenium concentrations and low hand grip strength (P for nonlinear trend <0.0001). Subgroup analyses revealed a significantly consistent relationship among women, non-Hispanic Whites and others, and individuals with overweight or obesity (P < 0.05). Our study suggests that blood selenium concentrations are inversely associated with hand grip strength in general US adults. However, further prospective studies are required to confirm the causality between selenium concentrations and hand grip strength. [ABSTRACT FROM AUTHOR]

OBJECTIVE: To examine whether healthcare-associated infections (HAIs) and nurse staffing are associated using unit-level staffing data. BACKGROUND: Previous studies of the association between HAIs and nurse staffing are inconsistent and limited by methodological weaknesses. METHODS: Cross-sectional data between 2007 and 2012 from a large urban hospital system were analyzed. HAIs were diagnosed using the Centers for Disease Control and Prevention's National Healthcare Safety Network definitions. We used Cox proportional-hazards regression model to examine the association of nurse staffing (2 days before HAI onset) with HAIs after adjusting for individual risks. RESULTS: Fifteen percent of patient-days had 1 shift understaffed, defined as staffing below 80% of the unit median for a shift, and 6.2% had both day and night shifts understaffed. Patients on units with both shifts understaffed were significantly more likely to develop HAIs 2 days later. CONCLUSIONS: Understaffing is associated with increased risk of HAIs. [ABSTRACT FROM AUTHOR]

Healthcare-associated infections are a significant reason for readmission to hospital post-discharge to the community. In this paper, the authors describe some of the key findings from a programme of work conducted in a home care agency (community care organisation) in the US. A survey was conducted to explore home care nurses' knowledge, attitudes and beliefs around infection control (n=415); 400 nurse-patient visits were observed, and 50 nurses were interviewed about their infection control practices. Nurses reported high compliance with infection control practices. However, the overall average adherence rate to observed hand hygiene practices was 45.6%. Interview data provided valuable insights into specific challenges faced by nurses in a home care setting. This study provides insights that can be used to enhance infection control practice in community care in the UK. [ABSTRACT FROM AUTHOR]

Background: Progression trajectories of patients with mild cognitive impairment (MCI) are currently not well understood.Objective: To classify patients with incident MCI into different latent classes of progression and identify predictors of progression class.Methods: Participants with incident MCI were identified from the US National Alzheimer's Coordinating Center Uniform Data Set (09/2005-02/2019). Clinical Dementia Rating (CDR®) Dementia Staging Instrument-Sum of Boxes (CDR-SB), Functional Activities Questionnaire (FAQ), and Mini-Mental State Examination (MMSE) score longitudinal trajectories from MCI diagnosis were fitted using growth mixture models. Predictors of progression class were identified using multivariate multinomial logistic regression models; odds ratios (ORs) and 95% confidence intervals (CIs) were reported.Results: In total, 21%, 22%, and 57% of participants (N = 830) experienced fast, slow, and no progression on CDR-SB, respectively; for FAQ, these figures were 14%, 23%, and 64%, respectively. CDR-SB and FAQ class membership was concordant for most participants (77%). Older age (≥86 versus≤70 years, OR [95% CI] = 5.26 [1.78-15.54]), one copy of APOE ɛ4 (1.94 [1.08-3.47]), higher baseline CDR-SB (2.46 [1.56-3.88]), lower baseline MMSE (0.85 [0.75-0.97]), and higher baseline FAQ (1.13 [1.02-1.26]) scores were significant predictors of fast progression versus no progression based on CDR-SB (all p < 0.05). Predictors of FAQ class membership were largely similar.Conclusion: Approximately a third of participants experienced progression based on CDR-SB or FAQ during the  4-year follow-up period. CDR-SB and FAQ class assignment were concordant for the vast majority of participants. Identified predictors may help the selection of patients at higher risk of progression in future trials. [ABSTRACT FROM AUTHOR]