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Objective: This study aimed to evaluate the prevalence of probable sleep bruxism (SB) in children aged 7–8 years and its association with sleep pattern and the time spent using devices with a screen. Material and Methods: A cross‐sectional study was conducted with children from Pelotas, Brazil (n = 556). Parents/caregivers were interviewed and provided demographic/socioeconomic information, children's daily screen time, nighttime tooth grinding or clenching, sleep duration and answered the Biological Rhythms Interview for Assessment in Neuropsychiatry for Kids (BRIAN‐K‐sleep domain). Probable SB was determined based on a positive clinical inspection with/without a positive parental/caregiver's reports of tooth clenching or grinding. Hierarchical Poisson regression was performed. Results: The prevalence of probable SB was 15.83% (n = 88). There was no difference in the probable SB prevalence according to the daily screen time (p = 0.744), and low family socioeconomic status was associated with higher SB prevalence (Prevalence Ratio [PR] = 1.95; 95% Confidence Interval [95% CI]: 1.21–3.17; p = 0.006). Higher scores in the sleep domain of the BRIAN‐K scale were associated with probable SB [PR = 1.07; 95% CI: 1.01–1.30; p = 0.013]. Conclusions: Difficulties in maintaining sleep and low family socioeconomic status were associated with probable SB in schoolchildren, while screen time spent using devices with a screen was not associated. [ABSTRACT FROM AUTHOR]

Purpose: To analyze the accuracy of the clinical indicators of the nursing diagnosis Ineffective Health Management in people with hypertension. Methods: This is a cross‐sectional diagnostic accuracy study. The ineffective health management was investigated in 120 people with hypertension in a referral public outpatient clinic in Brazil between August and November 2020. The accuracy measures were analyzed using Rasch analysis, considering the difficulty of clinical indicator and person's ability. Results: Ineffective health management is probably present in 37.5% of people with hypertension. 'Failure to include treatment regimen in daily living' was the clinical indicator with the highest sensitivity value, and 'failure to take action to reduce risk factor' had the highest specificity value. Conclusions: Rasch analysis demonstrated that all clinical indicators contribute significantly to estimating the presence of ineffective health management in people with hypertension in the outpatient scenario. Implications for Nursing Practice: This research contributes by providing accurate clinical indicators of ineffective health management, helping nurses prescribe and deliver the appropriate nursing interventions for people with hypertension by telenursing. [ABSTRACT FROM AUTHOR]