BACKGROUND: Modification of health literacy (HL) is an important factor for improving and maintaining oral health. The aim of the study is to examine the association of HL with oral health-promoting behaviour (OHPB) and assess possible mediating effects of HL on the impact of socioeconomic status on OHPB. METHODS: A cross-sectional questionnaire survey on the Slovak general adult population (N = 360, mean age 39) was conducted in 2014 and 2015. The association of HL (9 domains of the Health Literacy Questionnaire) and OHPB was analysed using logistic regression models adjusted for gender, age and educational level. Testing the mediating effect of HL domains between education attainment and OHPB was performed using the Sobel test. RESULTS: Women and respondents with higher education reported better OHPB. Regular tooth-brushing is associated with better HL in five domains: Feeling understood and supported by healthcare provider, Having sufficient information to manage my health, Activelymanaging my health, Social support for health, Appraisal of health information (Odds ratios (ORs) from 1.64 to 2.33, p < 0.05). Using interdental tools is in association with better HL in two domains: Feeling understood and supported by a healthcare provider and Having sufficient information to manage my health (ORs 1.71 to 1.80, p < 0.05). Respondents who visited a dentist for prevention score higher in Social support for health (OR 1.79, p < 0.05). Using a tongue scraper and single brush and reporting gums bleeding is notstatistically significantly associated with HL. Mediation was confirmed between the effect of respondents' education on using fluoride toothpaste - mediated respondent's ability to find good health information. Frequency of tooth-brushing and using interdental hygiene aids were both mediated by patient's sufficient information to manage health. CONCLUSIONS: Our results indicate HL to be an important factor related to good oral health, and HL should be considered when planning oral health interventions.
- MeSH
- Adult MeSH
- Humans MeSH
- Oral Hygiene psychology statistics & numerical data MeSH
- Oral Health statistics & numerical data MeSH
- Cross-Sectional Studies MeSH
- Surveys and Questionnaires MeSH
- Educational Status MeSH
- Health Knowledge, Attitudes, Practice MeSH
- Health Literacy statistics & numerical data MeSH
- Check Tag
- Adult MeSH
- Humans MeSH
- Male MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Geographicals
- Slovakia MeSH
Ústředním aspektem mého článku je sumarizace aktuálních odborných poznatků, vztahujících se k faktorům ovlivňujícím syndrom vyhoření zdravotních sester se zřetelem na koncept multidimenzionálního leadershipu, možného zprostředkujícího činitele vztaženého k syndromu vyhoření, jakožto odpovědi na pracovní stres vznikající při dlouhodobém prožívání nadměrné pracovní zátěže.
The central aspect of the article is summarization of actual scientific knowledge related to factor of multidimensional leadership and its influence on nurseś burn out.
- MeSH
- Humans MeSH
- Nursing, Team methods trends utilization MeSH
- Nursing Care manpower psychology MeSH
- Job Satisfaction MeSH
- Workload psychology statistics & numerical data MeSH
- Burnout, Professional etiology prevention & control psychology MeSH
- Stress, Psychological complications prevention & control psychology MeSH
- Regression, Psychology MeSH
- Regression Analysis MeSH
- Risk Factors MeSH
- Leadership MeSH
- Nurses psychology utilization MeSH
- Check Tag
- Humans MeSH
BACKGROUND: Having multiple sleep problems is common in adulthood. Yet, most studies have assessed single sleep variables at one timepoint, potentially misinterpreting health consequences of co-occurring sleep problems that may change over time. We investigated the relationship between multidimensional sleep health across adulthood and mortality. METHODS: Participants from the Midlife in the United States Study reported sleep characteristics in 2004-2006 (MIDUS-2; M2) and in 2013-2014 (MIDUS-3; M3). We calculated a composite score of sleep health problems across 5 dimensions: Regularity, Satisfaction, Alertness, Efficiency, and Duration (higher = more problems). Two separate models for baseline sleep health (n = 5 140; median follow-up time = 15.3 years) and change in sleep health (n = 2 991; median follow-up time = 6.4 years) to mortality were conducted. Cox regression models controlled for sociodemographics and key health risk factors (body mass index, smoking, depressive symptoms, diabetes, and hypertension). RESULTS: On average, 88% of the sample reported having one or more sleep health problems at M2. Each additional sleep health problem at M2 was associated with 12% greater risk of all-cause mortality (hazard ratio [HR] = 1.12, 95% confidence interval [CI] = 1.04-1.21), but not heart disease-related mortality (HR = 1.14, 95% CI = 0.99-1.31). An increase in sleep health problems from M2 to M3 was associated with 27% greater risk of all-cause mortality (HR = 1.27, 95% CI = 1.005-1.59), and 153% greater risk of heart disease mortality (HR = 2.53, 95% CI = 1.37-4.68). CONCLUSIONS: More sleep health problems may increase the risk of early mortality. Sleep health in middle and older adulthood is a vital sign that can be assessed at medical checkups to identify those at greater risk.
- MeSH
- Hypertension * MeSH
- Humans MeSH
- Sleep Wake Disorders * complications epidemiology MeSH
- Risk Factors MeSH
- Aged MeSH
- Sleep MeSH
- Check Tag
- Humans MeSH
- Aged MeSH
- Publication type
- Journal Article MeSH
- Geographicals
- United States MeSH
PURPOSE: Incident delirium is a frequent complication among hospitalized older people with COVID-19, associated with increased length of hospital stay, higher morbidity and mortality rates. Although delirium is preventable with early detection, systematic assessment methods and predictive models are not universally defined, thus delirium is often underrated. In this study, we tested the role of the Multidimensional Prognostic Index (MPI), a prognostic tool based on Comprehensive Geriatric Assessment, to predict the risk of incident delirium. METHODS: Hospitalized older patients (≥ 65 years) with COVID-19 infection were enrolled (n = 502) from ten centers across Europe. At hospital admission, the MPI was administered to all the patients and two already validated delirium prediction models were computed (AWOL delirium risk-stratification score and Martinez model). Delirium occurrence during hospitalization was ascertained using the 4A's Test (4AT). Accuracy of the MPI and the other delirium predictive models was assessed through logistic regression models and the area under the curve (AUC). RESULTS: We analyzed 293 patients without delirium at hospital admission. Of them 33 (11.3%) developed delirium during hospitalization. Higher MPI score at admission (higher multidimensional frailty) was associated with higher risk of incident delirium also adjusting for the other delirium predictive models and COVID-19 severity (OR = 12.72, 95% CI = 2.11-76.86 for MPI-2 vs MPI-1, and OR = 33.44, 95% CI = 4.55-146.61 for MPI-3 vs MPI-1). The MPI showed good accuracy in predicting incident delirium (AUC = 0.71) also superior to AWOL tool, (AUC = 0.63) and Martinez model (AUC = 0.61) (p < 0.0001 for both comparisons). CONCLUSIONS: The MPI is a sensitive tool for early identification of older patients with incident delirium.
- MeSH
- COVID-19 * complications epidemiology diagnosis MeSH
- Delirium * diagnosis epidemiology MeSH
- Geriatric Assessment * methods MeSH
- Risk Assessment MeSH
- Hospitalization * statistics & numerical data MeSH
- Incidence MeSH
- Humans MeSH
- Prognosis MeSH
- Prospective Studies MeSH
- Risk Factors MeSH
- SARS-CoV-2 MeSH
- Aged, 80 and over MeSH
- Aged MeSH
- Check Tag
- Humans MeSH
- Male MeSH
- Aged, 80 and over MeSH
- Aged MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Multicenter Study MeSH
- Geographicals
- Europe MeSH
