Average Global Score Research Articles

Emergency nursing staff's well-being, burnout, and sleep on 12-hour shifts.

To know job satisfaction, work-family balance, sleep quality, and burnout in nursing staff after the introduction of the 12-h rotating shift in the emergency department of a tertiary hospital. Cross-sectional observational design carried out in February 2023 for the first collection (T1) and October 2023 for the second collection (T2) in emergency nursing staff. Sociodemographic data, work and family reconciliation, job satisfaction, degree of burnout, and sleep quality were collected. In T1, 66.7% (74) of professionals answered, with an average age of 44.72 years (SD:10.60). 50% were on a 12-h shift. In T2, 91.9% (102) of professionals answered, with an average age of 44.75 years (SD11.07). 54.9% were on a 12-h shift. 71.2% in T1 and 66.7% in T2 were somewhat or very satisfied with the flexibility of their work schedules. 8.9% in T1 and 10.3% had a high overall burnout. In T1, the average global PSQI score was 7.66 (SD:3.82) and in T2 it was 8.46 (SD:4.05). Significant differences were found in terms of work and family reconciliation between the different rotating shifts analyzed (p < 0.05), and not significant for the rest of the variables. Emergency nursing staff prefer 12-h shifts as they facilitate work-family reconciliation and do not negatively affect sleep, burnout, or job satisfaction.

Psychometric Evaluation of the Medical Outcomes Study Social Support Survey in Brazilian Older People Psychometric Evaluation of MOS-SSS.

To evaluate the psychometric properties of different factorial models of the Medical Outcomes Study Social Support Survey (MOS-SSS) and screen the frequency of social support in older Brazilians. Methodological study. Five factorial models of the MOS-SSS were tested for their validity and reliability using three Brazilian samples from different locations in the country. The factorial invariance was assessed across locations using multigroup analysis. The global average score was calculated. A total of 1574 older people participated in the study. For all models, there was adequate factorial and convergent validity and good reliability; the discriminant validity was not achieved. Therefore, a second-order hierarchical model was proposed and showed validity, reliability and invariance across samples. In the three Brazilian samples, participants presented high frequency of social support. A second-order hierarchical model was fitted the Brazilian samples, allowing the calculation of the global score of social support, which was high among the participants. The MOS-SSS assesses social support levels among older individuals in community or clinical settings. Nurses can tailor interventions based on scale outcomes for personalised care for older people.

SPINEPS—automatic whole spine segmentation of T2-weighted MR images using a two-phase approach to multi-class semantic and instance segmentation

Abstract Objectives Introducing SPINEPS, a deep learning method for semantic and instance segmentation of 14 spinal structures (ten vertebra substructures, intervertebral discs, spinal cord, spinal canal, and sacrum) in whole-body sagittal T2-weighted turbo spin echo images. Material and methods This local ethics committee-approved study utilized a public dataset (train/test 179/39 subjects, 137 female), a German National Cohort (NAKO) subset (train/test 1412/65 subjects, mean age 53, 694 female), and an in-house dataset (test 10 subjects, mean age 70, 5 female). SPINEPS is a semantic segmentation model, followed by a sliding window approach utilizing a second model to create instance masks from the semantic ones. Segmentation evaluation metrics included the Dice score and average symmetrical surface distance (ASSD). Statistical significance was assessed using the Wilcoxon signed-rank test. Results On the public dataset, SPINEPS outperformed a nnUNet baseline on every structure and metric (e.g., an average over vertebra instances: dice 0.933 vs 0.911, p &lt; 0.001, ASSD 0.21 vs 0.435, p &lt; 0.001). SPINEPS trained on automated annotations of the NAKO achieves an average global Dice score of 0.918 on the combined NAKO and in-house test split. Adding the training data from the public dataset outperforms this (average instance-wise Dice score over the vertebra substructures 0.803 vs 0.778, average global Dice score 0.931 vs 0.918). Conclusion SPINEPS offers segmentation of 14 spinal structures in T2w sagittal images. It provides a semantic mask and an instance mask separating the vertebrae and intervertebral discs. This is the first publicly available algorithm to enable this segmentation. Key Points QuestionNo publicly available automatic approach can yield semantic and instance segmentation masks for the whole spine (including posterior elements) in T2-weighted sagittal TSE images. FindingsSegmenting semantically first and then instance-wise outperforms a baseline trained directly on instance segmentation. The developed model produces high-resolution MRI segmentations for the whole spine. Clinical relevanceThis study introduces an automatic approach to whole spine segmentation, including posterior elements, in arbitrary fields of view T2w sagittal MR images, enabling easy biomarker extraction, automatic localization of pathologies and degenerative diseases, and quantifying analyses as downstream research.

Developing RME-based Mathematics Textbook to Improve Students’ Numeracy Skills and Learning Motivation

Referring to PISA 2015 and 2018 data, Indonesian students' mathematics skills, especially numeracy skills, are lower than the global average score. One effort that can be made to improve students' numeracy skills and learning motivation is the development of mathematics textbook based on Realistic Mathematics Education (RME) with relevant contexts that students can imagine. So, this study aims to develop RME-based mathematics textbook to improve students' numeracy skills and learning motivation using the context of Nai Marbittang, one of the popular folklores in South Tapanuli, North Sumatra, Indonesia. The researchers used the ADDIE development model to develop textbook while assessing its validity through expert validation sheets, practicality through questionnaires, and effectiveness through motivation questionnaires and numeracy tests. Through this study, the products developed were proven to be valid, practical, and effective in improving students' numeracy skills and learning motivation so it can be used more widely, especially on the Pythagorean theorem topic. Other researchers can also utilize folklores on various mathematics topics to improve students' numeracy and learning motivation.

Nonrestorative sleep and its associated factors in Chinese adolescents and the moderation effects of coffee or tea consumption

BackgroundNonrestorative sleep (NRS) is related to numerous adverse outcomes. There is rare evidence of its associated factors, especially in Chinese adolescents. This study aimed to explore the factors associated with NRS in Chinese adolescents and the potential moderation effects of coffee or tea consumption.MethodsThis cross-sectional study invited adolescents attending Grades 7–11 in Nanjing, China, to complete a self-administered questionnaire, including their NRS, stress, anxiety, physical symptoms, depression, sociodemographics, and lifestyles. Linear regressions were applied to investigate the associated factors of their NRS, with the moderation effects of coffee or tea consumption and other characteristics being tested by additionally including their interactions.ResultsTotally 481 adolescents (49% male, age 15.5 ± 1.5 years) were enrolled, with the average global NRS score of 42.16 ± 7.57. Higher family income (β = 2.01, P = 0.007), longer sleep duration (β = 2.33, P = 0.011), and moderate after-class activity (β = 1.50, P = 0.044) contributed less NRS, while higher educational level (β = −2.60, P = 0.033), more coffee or tea consumption (β = −1.68, P = 0.013), physical symptoms (β = −3.85, P < 0.001), stress (β = −0.23, P = 0.005), anxiety (β = −1.54, P = 0.045), and depression (β = −0.13, P = 0.014) contributed more NRS. Females (β = 0.82, P = 0.005), older age (β = −0.46, P = 0.029), and higher education level (β = −1.68, P < 0.001) contributed less refreshment from sleep, more physical/medical symptoms of NRS, and less daytime function, respectively. Coffee or tea consumption moderated the associations of somatic symptoms (β = 0.25, P = 0.021), stress (β = 0.29, P = 0.022), anxiety (β = 0.27, P = 0.005), and depression (β = 0.17, P = 0.021) with NRS.ConclusionsLonger sleep duration, moderate after-class activity, reduced coffee or tea consumption, and promotion of physical and mental health may help reduce adolescents’ NRS. Coffee or tea consumption may help buffer the negative associations of somatic symptoms, stress, anxiety, and depression with NRS.

Samoocena a poczucie samotności młodych dorosłych

Introduction: The rapidly-growing sense of loneliness should be regarded as one of the key challenges of the modern world, which we cannot approach with negligence. How young people cope with loneliness, and how they experience and perceive it, strongly depends on their subjective perception of themselves, their self-esteem and self-concept. Research Aim: This paper presents the author’s own study which was aimed at analysing the relationship between self-esteem and the sense of loneliness among young adults. The study involved 314 people aged between 18 and 33. Method: The diagnostic survey method was used along with the following research tools: the Rosenberg Self-Esteem Scale (SES), and the Revised R-Scale ‒ UCLA. Results: The average global self-esteem score was M = 27.7, out of 40 points possible, with the minimum score of 10 points. The results of the study reveal that nearly 50% of the respondents are characterised by very low or low self-esteem (154 respondents). More than 20% of the respondents (69 people) represent an average level of self-esteem, while high and very high levels of self-esteem are reported by nearly 30% of the respondents (91 people). The average overall score for the analyses of the sense of loneliness among young adults was M = 41, out of 80 points possible, with the minimum score of 20 points. As regards individual aspects of the sense of loneliness, the scores ranked low or average. The analyses performed in the study reveal that there is a negative correlation between the variables analysed, meaning that higher levels of self-esteem are accompanied by a lower sense of loneliness among young adults. Conclusion: The results of this study provide an important premise for undertaking preventive and therapeutic interventions aimed at young adults, to prevent and reduce their levels of perceived loneliness.

Data-Driven Identification of Factors That Influence the Quality of Adverse Event Reports: 15-Year Interpretable Machine Learning and Time-Series Analyses of VigiBase and QUEST.

The completeness of adverse event (AE) reports, crucial for assessing putative causal relationships, is measured using the vigiGrade completeness score in VigiBase, the World Health Organization global database of reported potential AEs. Malaysian reports have surpassed the global average score (approximately 0.44), achieving a 5-year average of 0.79 (SD 0.23) as of 2019 and approaching the benchmark for well-documented reports (0.80). However, the contributing factors to this relatively high report completeness score remain unexplored. This study aims to explore the main drivers influencing the completeness of Malaysian AE reports in VigiBase over a 15-year period using vigiGrade. A secondary objective was to understand the strategic measures taken by the Malaysian authorities leading to enhanced report completeness across different time frames. We analyzed 132,738 Malaysian reports (2005-2019) recorded in VigiBase up to February 2021 split into historical International Drug Information System (INTDIS; n=63,943, 48.17% in 2005-2016) and newer E2B (n=68,795, 51.83% in 2015-2019) format subsets. For machine learning analyses, we performed a 2-stage feature selection followed by a random forest classifier to identify the top features predicting well-documented reports. We subsequently applied tree Shapley additive explanations to examine the magnitude, prevalence, and direction of feature effects. In addition, we conducted time-series analyses to evaluate chronological trends and potential influences of key interventions on reporting quality. Among the analyzed reports, 42.84% (56,877/132,738) were well documented, with an increase of 65.37% (53,929/82,497) since 2015. Over two-thirds (46,186/68,795, 67.14%) of the Malaysian E2B reports were well documented compared to INTDIS reports at 16.72% (10,691/63,943). For INTDIS reports, higher pharmacovigilance center staffing was the primary feature positively associated with being well documented. In recent E2B reports, the top positive features included reaction abated upon drug dechallenge, reaction onset or drug use duration of <1 week, dosing interval of <1 day, reports from public specialist hospitals, reports by pharmacists, and reaction duration between 1 and 6 days. In contrast, reports from product registration holders and other health care professionals and reactions involving product substitution issues negatively affected the quality of E2B reports. Multifaceted strategies and interventions comprising policy changes, continuity of education, and human resource development laid the groundwork for AE reporting in Malaysia, whereas advancements in technological infrastructure, pharmacovigilance databases, and reporting tools concurred with increases in both the quantity and quality of AE reports. Through interpretable machine learning and time-series analyses, this study identified key features that positively or negatively influence the completeness of Malaysian AE reports and unveiled how Malaysia has developed its pharmacovigilance capacity via multifaceted strategies and interventions. These findings will guide future work in enhancing pharmacovigilance and public health.

How far has the globe gone in achieving One Health? Current evidence and policy implications based on global One Health index

BackgroundIn the 21st century, as globalization accelerates and global public health crises occur, the One Health approach, guided by the holistic thinking of human-animal-environment and emphasizing interdisciplinary collaboration to address global health issues, has been strongly advocated by the international community. An immediate requirement exists for the creation of an assessment tool to foster One Health initiatives on both global and national scales. MethodsBuilt upon extensive expert consultations and dialogues, this follow-up study enhances the 2022 global One Health index (GOHI) indicator system. The GOHI framework is enriched by covering three indices, e.g. external drivers index (EDI), intrinsic drivers index (IDI), and core drivers index (CDI). The comprehensive indicator system incorporates 13 key indicators, 50 indicators, and 170 sub I-indicators, utilizing a fuzzy analytic hierarchy process to ascertain the weight for each indicator. Weighted and summed, the EDI, IDI, and CDI scores contribute to the computation of the overall GOHI 2022 score. By comparing the ranking and the overall scores among the seven regions and across 160 countries/territories, we have not only derived an overall profile of the GOHI 2022 scores, but also assessed the GOHI framework. We also compared rankings of indicators and sub I-indicators to provide greater clarity on the strengths and weaknesses of each region within the One Health domains. ResultsThe GOHI 2022 performance reveals significant disparities between countries/territories ranged from 39.03 to 70.61. The global average score of the GOHI 2022 is 54.82. The average score for EDI, IDI, and CDI are 46.57, 58.01, and 57.25, respectively. In terms of global rankings, countries from North America, Europe and Central Asia, East Asia and Pacific present higher scores. In terms of One Health domains of CDI, the lowest scores are observed in antimicrobial resistance (median: 43.09), followed by food security (median: 53.78), governance (median: 54.77), climate change (median: 64.12) and zoonotic diseases (median: 69.23). Globally, the scores of GOHI vary spatially, with the highest score in North America while lowest in sub-Saharan Africa. In addition, evidence shows associations between the socio–demographic profile of countries/territories and their GOHI performance in certain One Health scenarios. ConclusionThe objective of GOHI is to guide impactful strategies for enhancing capacity building in One Health. With advanced technology and an annually updated database, intensifying efforts to refine GOHI's data-mining methodologies become imperative. The goal is to offer profound insights into disparities and progressions in practical One Health implementation, particularly in anticipation of future pandemics.

NO DIFFERENCE IN SUBJECTIVE SLEEP MEASUREMENTS BETWEEN MIDDLE-AGED AND OLDER ADULTS

Abstract With age, sleep quality tends to decline. Poor sleep quality is associated with adverse physical and mental health outcomes, especially in the aging population. The purpose was to compare subjective sleep quality measurements between middle age (45-64 years) and older adults (over 65 years). Participants (N=200) completed the Pittsburgh Sleep Quality Index (PSQI) and were classified by age as either middle age (MID: n=105, 71.4% female, M±SD: age: 55.5±5.8 years; mass: 85.3±17.4 kg, height: 168.4±9.2 cm, education: 18.2±3.6 years) or older adults (OLD: n=95, 76.8% female, M±SD: age: 69.0±2.9 years; mass: 80.6±14.9 kg, height: 166.2±8.9 cm, education: 17.9±3.5 years). The PSQI Component and Global Scores were calculated. Data were analyzed using descriptive statistics, crosstabulations, and independent samples t-tests (p ≤ .05). The results showed there was no difference (p &amp;lt; .05) between the two age groups on subjective sleep measures, including sleep quality, latency, duration, and disruptions. The average Global score for the MID and OLD adults was 6.3±3.2 and 6.0±3.6, respectively. Only 17% of MID adults and 25% of OLD adults were classified as good quality sleepers (PSQI Global score ≤ 4) and 21.9% and 30.5% rated their sleep quality as very good, respectively. While previous research has shown deterioration in subjective sleep quality measures occurs with age, there was not a difference in subjective measures between middle age and older adults in the present investigation. Further analysis is warranted to examine additional factors impacting sleep quality such as physical activity levels, co-morbidities, and living situation.

Evaluating the Minimum Clinically Important Difference and Patient Acceptable Symptom State for the Womac Osteoarthritis Index after Unicompartmental Knee Arthroplasty.

Patient-Reported Outcome Measures (PROMs) are standardized questionnaires that gather information on health-related quality of life directly from patients. Since a significant statistical mean change may not correspond to a clinical improvement, there is a need to calculate a considerable change in scores. This is done by the Minimum Clinically Important Difference (MCID) and Patient Acceptable Symptom State (PASS). The objective of this article is to report the MCID and the PASS values of the WOMAC (Western Ontario and McMaster University) osteoarthritis index for patients undergoing Unicompartmental Knee Arthroplasty (UKA). A total of 37 patients (25 females and 12 males; mean age 68 ± 8.1 years and mean BMI 28.7 ± 4) who underwent UKA were enrolled. All patients were assessed using the WOMAC and the Oxford Knee Score (OKS) questionnaires before and six months following the procedure. To measure the cut-off values for MCID, distribution methods and anchor methods were applied, while the PASS was assessed only via anchor approaches. The MCID related to the WOMAC average global score was 90.7 ± 7.6, the average pain dimension score was 93.2 ± 6.6, the average stiffness dimension score was 92.6 ± 17, and the average physical function dimension score was 89.7 ± 7.6. In terms of PASS, the normalized WOMAC was 82.8, the pain dimension was 87.5, the stiffness dimension was 93.7, and the functional dimension was 83.1. A 34.5 amelioration in the WOMAC score, from initial evaluation to final follow-up, using change in OKS > 5 as anchor, indicates that the patients' health state improved to a clinically significant degree. A value at least of 82.8 in WOMAC score after treatment denotes that the symptom state is deemed acceptable by most of the patients.

Empowering citizens in conservation of family medicinal plants through processing rosella flowers into tea

The quality of health in Indonesia is included in the low category compared to other countries. Based on the results of the GHSI (Global Health Security Index) report, the average global health score is 38.9 points out of a score of 100 points. Meanwhile, Indonesia's global health security index ranks 13th compared to other G20 countries. One of the factors causing a country's low quality of health is caused by the level of a country's economy. This program aims to empower people in the fields of health, economy, and human resources by conserving family medicinal plants from roselle flowers that are processed into tea. The method used in this program is participatory, where environmental scanning is integral to empowering communities through building self-reliance with the power of resources and products. Program results are achieved from the fulfillment of success indicators prepared based on the objectives of the implementation of the program. There are nine main points in the indicators of success that can be achieved. In conclusion, the community empowerment program in Jatimalang Village, Klirong District, Kebumen Regency, has been built from the fulfillment of village-based SDGs and the awareness of the superiority of natural potential owned.

Correlación entre pérdida auditiva y deterioro cognitivo en el adulto mayor

Introduction: Hearing loss or hearing loss in the elderly is generally caused by degenerative changes typical of aging and can influence the cognitive deterioration of the person, which is manifested by different changes in memory as age increases. Objective: To determine the relationship between hearing loss and cognitive impairment in the elderly. Method: Descriptive, correlational and cross-sectional study. Otoscopy, audiometry and the Pfeiffer questionnaire were performed in 104 adults over 65 years of age, who attended the Otorhinolaryngology service of the Arzobispo Loayza National Hospital. The otoscope, the audiometer and the Pfeiffer questionnaire were used as instruments. Analyzing the relationship using Spearman's Rho correlation coefficient. Results: Hearing loss was found in 58 cases (55.8%) and normal hearing in 46 cases (44.2%). When applying the Pfeiffer questionnaire to determine cognitive status, an average global score of 8.5 was obtained, determining that values less than 8 are considered mild cognitive impairment. Evidencing mild cognitive impairment in 7% of normoacusics and in 26% of hypoacusics. When performing Spearman's Rho correlation, a high positive correlation was found between hearing loss and cognitive impairment (0.864), significant (0.000&lt;0.05). Conclusions: There is a high positive relationship between hearing loss and cognitive impairment in the elderly.

Quantitative Assessment of Major Biosecurity Challenges of Poultry Production in Central Ethiopia

The present study aims to assess the level of implementation of biosecurity practices of small-, medium- and large-scale poultry farms in central Ethiopia. A cross-sectional study design was implemented involving 226 poultry farms (153 small-, 53 medium- and 20 large-scale farms) in three selected areas of central Ethiopia, including Addis Ababa, Bishoftu and West of Shaggar. The results revealed a very low overall biosecurity score of 43.1% for central Ethiopia compared to the global average score of 64.3%. No significant difference (p &gt; 0.05) in the overall biosecurity practices among the three study sites (36.1% for Addis Ababa, 49% for Bishoftu and 34.9% for West of Shaggar) was observed. Six of the eight external biosecurity components with an overall score of 40.7% as compared to the global average of 64.6% were highly disrupted and scored lower values. With regard to internal biosecurity disease management, cleaning and disinfection practices were found to be 52.6% as opposed to the global average of 64%. The poor biosecurity level among poultry farms of central Ethiopia clearly demonstrates the urgent need for the implementation of appropriate biosecurity practices through the active involvement of all stakeholders to combat the impact of various diseases and boost the productivity of the sector.

Comparison of sleep quality between clear aligner and fixed appliance orthodontic therapies

Although available evidence suggests that orthodontic appliances can impact quality of life, there is limited information on the impact of orthodontic appliances on sleep quality. This study aimed to compare sleep quality between patients undergoing orthodontic treatments using conventional fixed appliances and clear aligners. Adult patients attending clinics in Saudi Arabia participated in this cross-sectional study. Sleep quality was assessed using the validated Arabic version of the Pittsburgh Sleep Quality Index (PSQI) and the Epworth Sleepiness Scale (ESS). Statistical significance was determined using inferential analysis, with a P < 0.05 considered statistically significant. There were 69 patients included in the study. The average age of a patient (33.12 ± 8.1) who received the clear aligner was significantly higher than those who received the fixed appliance (27.7 ± 5.9) (P < 0.05). The variation in the average score of ESS because of the education level was found to be statistically significant (P < 0.05). No significant difference was observed between the mean average ESS and PSQI global scores across the two orthodontic treatment groups. The average sleep latency scores were significantly higher in females than males when analyzing the PSQI component score across sex (P < 0.05). In education, ESS, PSQI global, habitual sleep efficiency, the use of sleep medication, and daytime dysfunction had a positive, weak, but significant correlation. Overall, this study concluded that regardless of the orthodontic appliances used, there was no statistically significant difference in sleep quality during the treatment.

Sleep, social media use and mental health in female adolescents aged 12 to 18 years old during the COVID-19 pandemic

BackgroundAdolescents with high social media (SM) use experienced poor sleep quality and high anxiety and depression levels. The study aimed to investigate the characteristics of sleep, use of SM, mental health in female aged 12 to 18 years old, and to assess the association between poor sleep, SM usage, and mental health.MethodsIn total, 219 Thai female adolescents were recruited between December 2019 and September 2020 and completed self-administrative questionnaires three periods of time (baseline, 3 months and 6 months later). The questionnaires included: the Pittsburgh Sleep Quality Index (PSQI), depression screening (PHQ-9), Screen for Child Anxiety Related Emotional Disorders (SCARED). Demographic and use of social media data were also included. Cochran’s Q test, correlation coefficient, and binary logistic regression were performed.ResultsParticipants’ mean age was 14.52 (range 12–17) years. Average Thai-PSQI global scores did not differ during 3 periods (p = 0.13) but average time of sleep latency, sleep duration, and SM usage were significant different (p = 0.002, p = 0.001, and p = < 0.001, respectively). There were positive correlations between PSQI scores and total SM usage at baseline (r = 0.14; P < 0.05) and 6 months (r = 0.20; P < 0.05). Anxiety, depression, and self-perception of poor sleep were significantly related to poor sleep quality during the 3 periods. After adjusting for confounding factors, depression and self-reported poor sleep were the only significant factors predicting poor sleep quality.ConclusionsPoor sleep was associated with SM usage, depression, and anxiety in this population. Time-limited SM usage should be implemented for Thai female adolescents to improve sleep-related outcomes.

Mathematics PISA Problems Using Local Context for Elementary School Students

Referring to the results of an international survey, one of which is PISA, the achievements of Indonesian students are still below the global average score. The main problem that is the causative factor is that students need to be used to solving similar problems. The issues used in PISA questions are familiar to only some students in Indonesia. This study aimed to develop PISA model mathematical problems with valid and reliable local contexts and potential impacts. The type of research conducted is development research using the ADDIE model with the stages of analysis, design, development, and evaluation. The test subjects were fifth-grade elementary school students in Bengkulu and South Sumatra provinces. The research instruments were product development validity sheets, legibility sheets, and student response questionnaires. Data analysis consisted of validity analysis using the Aiken Index and reliability with Cronbach Alpha. The study results show that PISA model mathematical questions with the regional context meet the validity, reliability, and potential impact criteria. The results of the implementation test showed that 11 students (27.50%) were in the low category, 32 students (55.00%), and 7 students (17.50%) were in the high category.

The Impact of Smartphone Addiction on Sleep Quality Among High School Students in Makkah, Saudi Arabia.

Background Smartphones are Internet-accessible devices that everyone can use in any setting, and their popularity is growing. However, the pervasiveness of smartphone technology has raised concerns owing to its addictive effect among adolescents and its association with sleep quality and mental and physical health issues. Objectives This study aimed to determine the effect of smartphone addiction on sleep quality among secondary high schools in Makkah, Saudi Arabia. Methods The study was conducted on high school students in Makkah, Saudi Arabia, using an analytical cross-sectional design, from January 2023 to August 2023. The study used a multistage stratified random sampling technique to select participants. The data were collected from an online self-administered survey and analyzed using IBM SPSS Statistics for Windows (IBM Corp., Armonk, New York, United States). Results This study included 373 respondents. Among those, males representtwo-thirds of the study population (66%), while females are 34%. The median age of the participants is 16 years old, and the interquartile range (IQR) is 6. Our results show that the median number of hours spent on mobile phones is six per day, and the IQR is 5. Furthermore, our findings revealthat the mean Smartphone Addiction Scale-Short Version(SAS-SV) score is 38.5 ± 10.8 out of 60, and the average global PSQI score is 6.63 ± 3.03 out of 21. The results show that the study participants have problems using smartphones longer than they intended, constantly checking them, and missing planned works due to smartphone use. There is a positive correlation between smartphone addiction and sleep quality (r = 0.261; p < 0.001), indicating that the respondents have worse sleep quality when smartphone addiction and the global PSQI increased. Conclusion Our study concluded that high school students in Makkah,Saudi Arabia, have high smartphone addiction. Moreover, highsmartphone addiction is significantly associated with poor sleep quality. This study can help with the development of measures to improve better sleep quality among high school students.

Reevaluating Sleep Quality During COVID-19 and Associations With Quarantine, Mental Health, Stress, and Screen Time in Young Adults: Results From a Cross-Sectional Online Survey.

The COVID-19 pandemic affected individual sleep quality, especially with high-stress levels. We assessed sleep quality in young adults during COVID-19, and mental health, stress, and screen time (ST) use. An international cross-sectional study was conducted from September 2020 to January 2021. The surveys assessed sleep quality (PSQI), ST use, and mental health. 183 participants were eligible for analysis. The average global PSQI score was 7.29 (sd = 3.58, n = 99). Associations were found between global PSQI scores and Fear of COVID-19 (r (98) = .223, P = .027), anxiety scores (r (99) = -.541, P < .001), increased total stress scores (r (88) = .486, P < .001), and depression (r (97) = .628, P < .001). Those currently quarantining had statistically higher PSQI scores than those who quarantined in the past (F (2,175) = 3.397, P = .036), but not for those who did not quarantine. Differences were found between genders for global PSQI (F (4,94) = 2.865, P < .027) and poor vs good sleep (X2 (1,98) = 3.982, P = .046). There was also a relationship between ethnicity and poor vs good sleep quality (X2 (2,94) = 6.538, P = .038). We did not find associations between ST and sleep quality but found poor sleep quality significantly related to mental health during COVID-19. We found no direct evidence that quarantining itself results in poor sleep quality. Interventions need to maximize sleep quality in certain groups, like females and ethnic minorities.

Visual reading for [18F]Florzolotau ([18F]APN-1607) tau PET imaging in clinical assessment of Alzheimer's disease.

Tau-targeted positron emission tomography (tau-PET) is a potential tool for the differential diagnosis of Alzheimer's disease (AD) and to clarify the distribution of tau deposition. In addition to the quantitative analysis of tau-PET scans, visual reading supports the assessment of tau loading for clinical diagnosis. This study aimed to propose a method for visually interpreting tau-PET using the [18F] Florzolotau tracer and investigate the performance and utility of the visual reading. A total number of 46 individuals with 12 cognitively unimpaired subjects (CU), 20 AD patients with mild cognitive impairment (AD-MCI), and 14 AD with dementia (AD-D) patients with both [18F]Florbetapir amyloid PET and [18F]Florzolotau tau PET scans were included. Clinical information, cognitive assessment, and amyloid PET scan results were recorded. For visual interpretation, a modified rainbow colormap was created and a regional tau uptake scoring system was proposed to evaluate the degree of tracer uptake and its spatial distribution within five cortical regions. Each region was scored on a scale of [0, 2] as compared to the background, and that resulted in a global scale range of [0, 10]. Four readers interpreted [18F]Florzolotau PET using the visual scale. The global and regional standardized uptake value ratios (SUVr) were also calculated for analysis. The result indicates the average global visual scores were 0 ± 0 in the CU group, 3.43 ± 3.35 in the AD-MCI group, and 6.31 ± 2.97 in the AD-D group (p < 0.001). The consensus among the four observers on image scores was high with an intraclass correlation coefficient of 0.880 (95% CI: 0.767-0.936). The average global visual score was significantly associated with global SUVr (r = 0.884, p < 0.0001) and with the CDR-sum of box (r = 0.677, p < 0.0001). The visual reading method generated a visual score of [18F]Florzolotau tau-PET with good sensitivity and specificity to identify AD-D or CU individuals from the other patients. The preliminary result also showed that the global visual scores are significantly and reliably correlated with global cortical SUVr, and associated well with the clinical diagnosis and cognitive performance.

The Effect of Standard Compression Adjuvant with a Tailored Exercise Training Program on Health-Related Quality of Life Outcomes in Treating Adults with Venous Leg Ulcer: A Randomized Controlled Trial.

Exercise training adjuvant to standard compression is considered to improve calf muscle pump dysfunction in venous leg ulcer (VLU) and subsequent healing. The objectives of this trial were to assess the effectiveness of a tailored exercise training intervention in addition to standard compression therapy on health-related quality of life and anticipating wound healing. Twenty-four VLU participants were recruited and randomly divided into 2 groups. The control group was prescribed conventional compression, and the intervention group received compression plus progressive tailored exercise training. The 14-item chronic venous disease quality of life questionnaire (CIVIQ-14) was used to assess improvement after treatment over time (0, 6, and 12 weeks). Intervention and control groups achieved wound closure for 11 (92%) and 7 (58%) patients. After adjusting for age, sex, and wound size at baseline, the exercise intervention group had 2 times the probability of complete wound healing in 12 weeks than those in the control group (risk ratio = 1.98, 95% CI= 1.01-3.72, P = .047). The primary outcome was the difference in CIVIQ-14 score in 3 dimensions and global index score per visit. The outcomes were evaluated by independent assessors. Demographic, comorbidities, and wound assessments were collected on enrollment. The overall adherence to exercise protocol was 71%. After adjusting age, sex, size of VLU, and CIVIQ score at baseline, the participants in the intervention group had the average global index scores and psychological scores increase at week 12 than those in the control group (21.2; 95% CI= 7.1-35.2, P = .005, and 13.5; 95% CI = 2.9-24.2, P = .044, respectively). Both groups showed similar improvement in the mean change in physical and pain scores within-group over time. Patients with combined conventional compression therapy with exercise training appeared to have a higher quality of life score in psychological and global scores than those with compression therapy alone.