Category: Statistics

Postgrad Med. 2024 Apr 29:1-6. doi: 10.1080/00325481.2024.2347829. Online ahead of print.

ABSTRACT

OBJECTIVE: Periodic fever, aphthous stomatitis, pharyngitis and adenitis (PFAPA) syndrome and familial Mediterranean fever (FMF) are autoinflammatory disorders typically characterized by recurrent fever attacks. These recurrent fever attacks can lead to depression and anxiety in mothers of these patients. This study aimed to compare the depression and anxiety levels in mothers of PFAPA and FMF patients.

METHODS: This study is a cross-sectional observational study. 48 mothers of children with FMF and 70 mothers of children with PFAPA participated in the study. Mothers in these two groups were compared in terms of anxiety and depression by using the validated Beck Depression Inventory (BDI) and Beck Anxiety Inventory (BAI).

RESULTS: Depression and anxiety scores of mothers were found to be similar in FMF and PFAPA groups. Moderate or high level of anxiety was seen in 32% of mothers of patients with PFAPA and 27% of mothers of patients with FMF. 23% of mothers of patients with PFAPA were evaluated as having moderate or severe depression, and 18% of mothers of patients with FMF were evaluated as having moderate depression. There was no statistically significant difference between the duration, frequency of attacks, recurrent hospitalizations, sociodemographic characteristics, and inventory scores.

CONCLUSION: Depression and anxiety scores of mothers with children diagnosed with FMF and PFAPA are similar. These two diseases affect families psychosocially at similar levels. It is important to provide psychosocial support to families.

PMID:38683959 | DOI:10.1080/00325481.2024.2347829

Sex Health. 2024 Apr;21:SH23210. doi: 10.1071/SH23210.

ABSTRACT

Background Anal cancer disproportionately affects sexual and gender minority individuals living with HIV. High-resolution anoscopy (HRA) is an in-clinic procedure to detect precancerous anal lesions and cancer, yet prospective data on factors associated with HRA attendance are lacking. We examined whether anal HPV sampling at home versus in a clinic impacts HRA uptake and assessed HRA acceptability. Methods Sexual and gender minority individuals were randomised to home-based self-sampling or clinical sampling. All were asked to attend in-clinic HRA 1year later. We regressed HRA attendance on study arm using multivariable Poisson regression and assessed HRA acceptability using χ 2 tests. Results A total of 62.8% of 196 participants who engaged in screening attended HRA. Although not significant (P =0.13), a higher proportion of participants who engaged in clinic-based screening attended HRA (68.5%) compared to home-based participants (57.9%). Overall, HRA uptake was higher among participants with anal cytology history (aRR 1.40, 95% CI 1.07-1.82), and lower among participants preferring a versatile anal sex position versus insertive (aRR 0.70, 95% CI 0.53-0.91), but did not differ by race or HIV serostatus. In the clinic arm, persons living with HIV had lower HRA attendance (42.9%) versus HIV-negative participants (73.3%) (P =0.02) and Black non-Hispanic participants had lower HRA attendance (41.7%) than White non-Hispanic participants (73.1%), (P =0.04). No differences in attendance by race or HIV status were observed in the home arm. Conclusions HRA uptake differed significantly by race and HIV status in the clinic arm but not the home arm.

PMID:38683939 | DOI:10.1071/SH23210

Acad Med. 2024 Apr 29. doi: 10.1097/ACM.0000000000005749. Online ahead of print.

ABSTRACT

PURPOSE: Learner engagement is the energy learners exert to remain focused and motivated to learn. The Learner Engagement Instrument (LEI) was developed to measure learner engagement in a short continuing professional development (CPD) activity. The authors validated LEI scores using validity evidence of internal structure and relationships with other variables.

METHOD: Participants attended 1 of 4 CPD courses (1 in-person, 2 online livestreamed, and 1 either in-person or online) in 2018, 2020, 2021, and 2022. Confirmatory factor analysis was used to examine model fit for several alternative structural models, separately for each course. The authors also conducted a generalizability study to estimate score reliability. Associations were evaluated between LEI scores and Continuing Medical Education Teaching Effectiveness (CMETE) scores and participant demographics. All statistical methods accounted for repeated measures by participants.

RESULTS: 415 unique participants attended 203 different CPD presentations and completed the LEI 11,567 times. The originally hypothesized 4-domain model of learner engagement (domains: emotional, behavioral, cognitive in-class, cognitive out-of-class) demonstrated best model fit in all 4 courses, with Comparative Fit Index ≥0.99, Standardized Root Mean Square Residual ≤0.031, and Root Mean Square Error of Approximation ≤0.047. The reliability for overall scores and domain scores were all acceptable (50-rater G-coefficient ≥ 0.74) except for the cognitive-in-class domain (50-rater G-coefficient 0.55 to 0.66). All findings were similar for both in-person and online delivery modalities. Correlation of LEI scores with teaching effectiveness was confirmed (rho 0.58), and a small correlation was found with participant age (rho 0.19); other associations were small and not statistically significant. Using these findings, we generated a shortened 4-item instrument, the LEI Short Form.

CONCLUSIONS: This study confirms a 4-domain model of learner engagement, and provides validity evidence that supports using LEI scores to measure learner engagement in both in-person and livestreamed CPD activities.

PMID:38683885 | DOI:10.1097/ACM.0000000000005749

PLoS Comput Biol. 2024 Apr 29;20(4):e1011575. doi: 10.1371/journal.pcbi.1011575. Online ahead of print.

ABSTRACT

Compartmental models that describe infectious disease transmission across subpopulations are central for assessing the impact of non-pharmaceutical interventions, behavioral changes and seasonal effects on the spread of respiratory infections. We present a Bayesian workflow for such models, including four features: (1) an adjustment for incomplete case ascertainment, (2) an adequate sampling distribution of laboratory-confirmed cases, (3) a flexible, time-varying transmission rate, and (4) a stratification by age group. Within the workflow, we benchmarked the performance of various implementations of two of these features (2 and 3). For the second feature, we used SARS-CoV-2 data from the canton of Geneva (Switzerland) and found that a quasi-Poisson distribution is the most suitable sampling distribution for describing the overdispersion in the observed laboratory-confirmed cases. For the third feature, we implemented three methods: Brownian motion, B-splines, and approximate Gaussian processes (aGP). We compared their performance in terms of the number of effective samples per second, and the error and sharpness in estimating the time-varying transmission rate over a selection of ordinary differential equation solvers and tuning parameters, using simulated seroprevalence and laboratory-confirmed case data. Even though all methods could recover the time-varying dynamics in the transmission rate accurately, we found that B-splines perform up to four and ten times faster than Brownian motion and aGPs, respectively. We validated the B-spline model with simulated age-stratified data. We applied this model to 2020 laboratory-confirmed SARS-CoV-2 cases and two seroprevalence studies from the canton of Geneva. This resulted in detailed estimates of the transmission rate over time and the case ascertainment. Our results illustrate the potential of the presented workflow including stratified transmission to estimate age-specific epidemiological parameters. The workflow is freely available in the R package HETTMO, and can be easily adapted and applied to other infectious diseases.

PMID:38683878 | DOI:10.1371/journal.pcbi.1011575

PLoS Genet. 2024 Apr 29;20(4):e1011184. doi: 10.1371/journal.pgen.1011184. Online ahead of print.

ABSTRACT

By decomposing genome sequences into k-mers, it is possible to estimate genome differences without alignment. Techniques such as k-mer minimisers, for example MinHash, have been developed and are often accurate approximations of distances based on full k-mer sets. These and other alignment-free methods avoid the large temporal and computational expense of alignment. However, these k-mer set comparisons are not entirely accurate within-species and can be completely inaccurate within-lineage. This is due, in part, to their inability to distinguish core polymorphism from accessory differences. Here we present a new approach, KmerAperture, which uses information on the k-mer relative genomic positions to determine the type of polymorphism causing differences in k-mer presence and absence between pairs of genomes. Single SNPs are expected to result in contiguous of k unique k-mers per genome. On the other hand, contiguous series > k may be caused by accessory differences of length S-k+1; when the start and end of the sequence are contiguous with homologous sequence. Alternatively, they may be caused by multiple SNPs within k bp from each other and KmerAperture can determine whether that is the case. To demonstrate use cases KmerAperture was benchmarked using datasets including a very low diversity simulated population with accessory content independent from the number of SNPs, a simulated population were SNPs are spatially dense, a moderately diverse real cluster of genomes (Escherichia coli ST1193) with a large accessory genome and a low diversity real genome cluster (Salmonella Typhimurium ST34). We show that KmerAperture can accurately distinguish both core and accessory sequence diversity without alignment, outperforming other k-mer based tools.

PMID:38683871 | DOI:10.1371/journal.pgen.1011184

JMIR Med Educ. 2024 Apr 29;10:e50297. doi: 10.2196/50297.

ABSTRACT

BACKGROUND: The growing presence of digital technologies in health care requires the health workforce to have proficiency in subjects such as informatics. This has implications in the education of nursing students, as their preparedness to use these technologies in clinical situations is something that course administrators need to consider. Thus, students’ attitudes toward technology could be investigated to assess their needs regarding this proficiency.

OBJECTIVE: This study aims to investigate attitudes (enthusiasm and anxiety) toward technology among nursing students and to identify factors associated with those attitudes.

METHODS: Nursing students at 2 universities in Sweden and 1 university in Poland were invited to answer a questionnaire. Data about attitudes (anxiety and enthusiasm) toward technology, eHealth literacy, electronic device skills, and frequency of using electronic devices and sociodemographic data were collected. Descriptive statistics were used to characterize the data. The Spearman rank correlation coefficient and Mann-Whitney U test were used for statistical inferences.

RESULTS: In total, 646 students answered the questionnaire-342 (52.9%) from the Swedish sites and 304 (47.1%) from the Polish site. It was observed that the students’ technology enthusiasm (techEnthusiasm) was on the higher end of the Technophilia instrument (score range 1-5): 3.83 (SD 0.90), 3.62 (SD 0.94), and 4.04 (SD 0.78) for the whole sample, Swedish students, and Polish students, respectively. Technology anxiety (techAnxiety) was on the midrange of the Technophilia instrument: 2.48 (SD 0.96), 2.37 (SD 1), and 2.60 (SD 0.89) for the whole sample, Swedish students, and Polish students, respectively. Regarding techEnthusiasm among the nursing students, a negative correlation with age was found for the Swedish sample (P<.001; ρ_Swedish=-0.201) who were generally older than the Polish sample, and positive correlations with the eHealth Literacy Scale score (P<.001; ρ_all=0.265; ρ_Swedish=0.190; ρ_Polish=0.352) and with the perceived skill in using computer devices (P<.001; ρ_all=0.360; ρ_Swedish=0.341; ρ_Polish=0.309) were found for the Swedish, Polish, and total samples. Regarding techAnxiety among the nursing students, a positive correlation with age was found in the Swedish sample (P<.001; ρ_Swedish=0.184), and negative correlations with eHealth Literacy Scale score (P<.001; ρ_all=-0.196; ρ_Swedish=-0.262; ρ_Polish=-0.133) and with the perceived skill in using computer devices (P<.001; ρ_all=-0.209; ρ_Swedish=-0.347; ρ_Polish=-0.134) were found for the Swedish, Polish, and total samples and with the semester only for the Swedish sample (P<.001; ρ_Swedish=-0.124). Gender differences were found regarding techAnxiety in the Swedish sample, with women exhibiting a higher mean score than men (2.451, SD 1.014 and 1.987, SD 0.854, respectively).

CONCLUSIONS: This study highlights nursing students’ techEnthusiasm and techAnxiety, emphasizing correlations with various factors. With health care’s increasing reliance on technology, integrating health technology-related topics into education is crucial for future professionals to address health care challenges effectively.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/14643.

PMID:38683660 | DOI:10.2196/50297

JMIR Ment Health. 2024 Apr 29;11:e50259. doi: 10.2196/50259.

ABSTRACT

BACKGROUND: Limited awareness, social stigma, and access to mental health professionals hinder early detection and intervention of internet gaming disorder (IGD), which has emerged as a significant concern among young individuals. Prevalence estimates vary between 0.7% and 15.6%, and its recognition in the International Classification of Diseases, 11th Revision and Diagnostic and Statistical Manual of Mental Disorders, 5th Edition underscores its impact on academic functioning, social isolation, and mental health challenges.

OBJECTIVE: This study aimed to uncover digital phenotypes for the early detection of IGD among adolescents in learning settings. By leveraging sensor data collected from student tablets, the overarching objective is to incorporate these digital indicators into daily school activities to establish these markers as a mental health screening tool, facilitating the early identification and intervention for IGD cases.

METHODS: A total of 168 voluntary participants were engaged, consisting of 85 students with IGD and 83 students without IGD. There were 53% (89/168) female and 47% (79/168) male individuals, all within the age range of 13-14 years. The individual students learned their Korean literature and mathematics lessons on their personal tablets, with sensor data being automatically collected. Multiple regression with bootstrapping and multivariate ANOVA were used, prioritizing interpretability over predictability, for cross-validation purposes.

RESULTS: A negative correlation between IGD Scale (IGDS) scores and learning outcomes emerged (r₁₆₆=-0.15; P=.047), suggesting that higher IGDS scores were associated with lower learning outcomes. Multiple regression identified 5 key indicators linked to IGD, explaining 23% of the IGDS score variance: stroke acceleration (β=.33; P<.001), time interval between keys (β=-0.26; P=.01), word spacing (β=-0.25; P<.001), deletion (β=-0.24; P<.001), and horizontal length of strokes (β=-0.21; P=.02). Multivariate ANOVA cross-validated these findings, revealing significant differences in digital phenotypes between potential IGD and non-IGD groups. The average effect size, measured by Cohen d, across the indicators was 0.40, indicating a moderate effect. Notable distinctions included faster stroke acceleration (Cohen d=0.68; P=<.001), reduced word spacing (Cohen d=.57; P=<.001), decreased deletion behavior (Cohen d=0.33; P=.04), and longer horizontal strokes (Cohen d=0.34; P=.03) in students with potential IGD compared to their counterparts without IGD.

CONCLUSIONS: The aggregated findings show a negative correlation between IGD and learning performance, highlighting the effectiveness of digital markers in detecting IGD. This underscores the importance of digital phenotyping in advancing mental health care within educational settings. As schools adopt a 1-device-per-student framework, digital phenotyping emerges as a promising early detection method for IGD. This shift could transform clinical approaches from reactive to proactive measures.

PMID:38683658 | DOI:10.2196/50259

Metab Syndr Relat Disord. 2024 Apr 29. doi: 10.1089/met.2023.0264. Online ahead of print.

ABSTRACT

Introduction: Obesity (OB), type 2 diabetes mellitus (T2D), and hypertension (HTN) are health issues in Mexico linked to unhealthy behaviors. This study investigates the relationship between behavior change indicators and metabolic control in Mexican adults with OB, T2D, and HTN. Methods: We used data from the 2016 National Health and Nutrition Survey Midway (ENSANUT MC-2016), representing ∼59.5 million Mexican adults aged 20-59 with these conditions. We assessed behavior change indicators, including stages of change, self-efficacy, and perceptions of benefits and barriers. In addition, we conducted descriptive analyses and used statistical tests, such as Pearson’s chi-squared test and logistic regression models, adjusted for multiple variables. Results: We found that adults in the action and maintenance stages of physical activity (PA) were four times more likely to have adequate HTN control than those in the precontemplation stage. Self-efficacy for PA was related to better control in T2D and HTN. Self-efficacy for reducing the consumption of sugary beverages was positively associated with control in OB and T2D. No significant association was observed with self-efficacy for consuming fruits and vegetables. Conclusion: Behavior-change indicators are significantly linked to metabolic control in adults with HTN. These results support the importance of these indicators in managing chronic diseases such as HTN and their potential use in public health strategies.

PMID:38683637 | DOI:10.1089/met.2023.0264

Cannabis Cannabinoid Res. 2024 Apr 29. doi: 10.1089/can.2023.0246. Online ahead of print.

ABSTRACT

Background: Dysregulation of the endocannabinoid (eCB) system is implicated in various stress-related neuropsychiatric disorders (SRDs), including anxiety, depression, and post-traumatic stress disorder (PTSD). In this systematic review and meta-analysis, our objectives were to characterize circulating anandamide (AEA) and 2-arachidonoylglycerol (2-AG) concentrations at rest and in response to acute laboratory-based psychosocial stress in individuals with SRDs and without (controls). Our primary aims were to assess the effects of acute psychosocial stress on eCB concentrations in controls (Aim 1), compare baseline (prestress) eCB concentrations between individuals with SRDs and controls (Aim 2), and explore differential eCB responses to acute psychosocial stress in individuals with SRDs compared with controls (Aim 3). Methods: On June 8, 2023, a comprehensive review of the MEDLINE (PubMed) database was conducted to identify original articles meeting inclusion criteria. A total of 1072, 1341, and 400 articles were screened for inclusion in Aims 1, 2, and 3, respectively. Results: Aim 1, comprised of seven studies in controls, revealed that most studies reported stress-related increases in AEA (86%, with 43% reporting statistical significance) and 2-AG (83%, though none were statistically significant except for one study in saliva). However, meta-analyses did not support these patterns (p’s>0.05). Aim 2, with 20 studies, revealed that most studies reported higher baseline concentrations of both AEA (63%, with 16% reporting statistical significance) and 2-AG (60%, with 10% reporting statistical significance) in individuals with SRDs compared with controls. Meta-analyses confirmed these findings (p’s<0.05). Aim 3, which included three studies, had only one study that reported statistically different stress-related changes in 2-AG (but not AEA) between individuals with PTSD (decrease) and controls (increase), which was supported by the meta-analysis (p<0.001). Meta-analyses showed heterogeneity across studies and aims (I²=14-97%). Conclusion: Despite substantial heterogeneity in study characteristics, samples, and methodologies, consistent patterns emerged, including elevated baseline AEA and 2-AG in individuals with SRDs compared with controls, as well as smaller stress-related increases in 2-AG in individuals with SRDs compared with controls. To consider eCBs as reliable biomarkers and potential intervention targets for SRDs, standardized research approaches are needed to clarify the complex relationships between eCBs, SRDs, and psychosocial stress.

PMID:38683635 | DOI:10.1089/can.2023.0246

JAMA Netw Open. 2024 Apr 1;7(4):e248727. doi: 10.1001/jamanetworkopen.2024.8727.

ABSTRACT

IMPORTANCE: Smoking is the leading preventable cause of death and illness in the US. Identifying cost-effective smoking cessation treatment may increase the likelihood that health systems deliver such treatment to their patients who smoke.

OBJECTIVE: To evaluate the cost-effectiveness of standard vs enhanced varenicline use (extended varenicline treatment or varenicline in combination with nicotine replacement therapy) among individuals trying to quit smoking.

DESIGN, SETTING, AND PARTICIPANTS: This economic evaluation assesses the Quitting Using Intensive Treatments Study (QUITS), which randomized 1251 study participants who smoked into 4 conditions: (1) 12-week varenicline monotherapy (n = 315); (2) 24-week varenicline monotherapy (n = 311); (3) 12-week varenicline combination treatment with nicotine replacement therapy patch (n = 314); or (4) 24-week varenicline combination treatment with nicotine replacement therapy patch (n = 311). Study enrollment occurred in Madison and Milwaukee, Wisconsin, between November 11, 2017, and July 2, 2020. Statistical analysis took place from May to October 2023.

MAIN OUTCOMES AND MEASURES: The primary outcome was 7-day point prevalence abstinence (biochemically confirmed with exhaled carbon monoxide level ≤5 ppm) at 52 weeks. The incremental cost-effectiveness ratio (ICER), or cost per additional person who quit smoking, was calculated using decision tree analysis based on abstinence and cost for each arm of the trial.

RESULTS: Of the 1251 participants, mean (SD) age was 49.1 (11.9) years, 675 (54.0%) were women, and 881 (70.4%) completed the 52-week follow-up. Tobacco cessation at 52 weeks was 25.1% (79 of 315) for 12-week monotherapy, 24.4% (76 of 311) for 24-week monotherapy, 23.6% (74 of 314) for 12-week combination therapy, and 25.1% (78 of 311) for 24-week combination therapy, respectively. The total mean (SD) cost was $1175 ($365) for 12-week monotherapy, $1374 ($412) for 12-week combination therapy, $2022 ($813) for 24-week monotherapy, and $2118 ($1058) for 24-week combination therapy. The ICER for 12-week varenicline monotherapy was $4681 per individual who quit smoking and $4579 per quality-adjusted life-year (QALY) added. The ICER for 24-week varenicline combination therapy relative to 12-week monotherapy was $92 000 000 per additional individual who quit smoking and $90 000 000 (95% CI, $15 703 to dominated or more costly and less efficacious) per additional QALY.

CONCLUSIONS AND RELEVANCE: This economic evaluation of standard vs enhanced varenicline treatment for smoking cessation suggests that 12-week varenicline monotherapy was the most cost-effective treatment option at the commonly cited threshold of $100 000/QALY. This study provides patients, health care professionals, and other stakeholders with increased understanding of the health and economic impact of more intensive varenicline treatment options.

PMID:38683609 | DOI:10.1001/jamanetworkopen.2024.8727