Evolving Licensure Examination: Assessing Student Confidence and Accuracy With Next Generation NCLEX.

BACKGROUND: The Next Generation NCLEX (NGN) includes new item types. Little is known about nursing students' confidence and accuracy in answering these questions. METHOD: A descriptive comparative study examined prelicensure nursing students' confidence and accuracy in answering NGN-style items versus multiple-choice questions (MCQs) of the same content via a 12-item quiz. RESULTS: Less than one third of students (n = 194; 32.1%) reported feeling confident in answering NGN questions. Students' confidence levels had no relationship on scores with NGN items. When comparing NGN-style items to MCQs, students' (n = 221) scores on NGN-style items were lower with bowtie or a select-all-that-apply questions but higher with highlight table or matrix multiple-choice questions. CONCLUSION: Students' lack of confidence with certain item types suggests faculty should incorporate these item types into classroom activities or course assignments. NGN test-taking strategies also should be incorporated and frequently reinforced throughout the curriculum. [J Nurs Educ. 2024;63(4):252-255.].

Preliminary evidence of insulin resistance in young adults with impaired sleep.

Objective: Impaired sleep is associated with insulin resistance (IR), a precursor to type 2 diabetes mellitus (T2DM), but is poorly understood in young adults. This cross-sectional study examined sleep characteristics, risk factors for T2DM, and IR in college students. Participants: Thirty-two college students (18-25 years) with either short sleep or poor quality sleep were assessed. Methods: Participants completed self-report measures of sleep and T2DM risk factors. One week of objective sleep was measured with wrist actigraphy. IR was calculated from fasting serum glucose and insulin concentrations. Results: The sample slept on average 6.6 hours/night, and over half had IR. Of those with IR, 44.4% had normal body mass index (BMI), 72% had normal fasting glucose concentrations, and all but one had T2DM risk test score indicating they were not at risk. Conclusions: IR was found in over half of participants; however, many typical T2DM risk factors were not present in those with IR.

Effects of Self-Monitoring Physical Activity Using Technology in Primary Care: A Pilot Intervention.

BACKGROUND: Physical activity (PA) is a primary factor in reducing the risk of chronic diseases, yet only half of U.S. adults meet recommended levels. OBJECTIVE: To evaluate a PA self-monitoring pilot intervention using technology in obese adult primary care patients. METHODS: The project had a prospective, single group, pretest/posttest design using an accelerometer with a smartphone app. Obese adult primary care patients (N = 31) were followed over 6 months. Demographic (age, race, sex, marital status, educational level) and PA-relevant (PA, body mass index [BMI], self-efficacy for exercise [SEE]) data were collected at enrollment. PA and BMI were recorded monthly for 6 months. SEE was reassessed at 6 months. RESULTS: PA and BMI showed gradual improvement; however, changes in PA (p = .130), BMI (p = .326), and SEE (p = .877) at 6 months were not statistically significant. A strong, negative relationship was found between PA and BMI (r = -.727, p < .01). Anecdotal data indicated the smartphone app was acceptable to patients. CONCLUSIONS: Data-supported clinician-initiated PA self-monitoring with a smartphone app was acceptable and showed favorable trends in improving PA and BMI in obese adult patients. IMPLICATIONS FOR NURSING: Prescribing PA self-monitoring using technology may be easily implemented.

Sleep and Self-Rated Health in an Aging Workforce.

The labor force participation rate for adults aged 55 years and older has increased nearly 10% over the past two and a half decades. As workers age, they frequently experience increased chronic health conditions and impaired sleep, which may negatively influence their self-rated health (SRH) and work performance. This study aimed to examine the associations between nonrestorative sleep (NRS) and work performance (i.e., difficulty concentrating or having lower productivity at work) and associations between demographic and sleep characteristics with SRH in middle-aged workers. We conducted a secondary data analysis among working middle-aged adults 50 to 65 years of age ( N = 392) from the 2008 Sleep in America Poll. Respondents frequently reported impaired sleep such as frequent insomnia symptoms, NRS, and short sleep duration. Nonrestorative sleep was associated with decreased work performance such as trouble organizing work, doing work over due to mistakes, and lower productivity. Nonrestorative sleep and short sleep duration were significantly associated with lower SRH. Strategies for the early detection of impaired sleep and implementation of interventions to improve sleep may improve SRH and work performance in working middle-aged adults.