Category: Statistics

Am J Public Health. 2024 Dec;114(12):1375-1383. doi: 10.2105/AJPH.2024.307839.

ABSTRACT

Objectives. To (1) compare responses to 2 survey questions designed to measure sexual orientation and (2) understand how variation in responses is associated with mental health. Methods. Data were from the National Longitudinal Study of Adolescent to Adult Health (Add Health) Sexual Orientation/Gender Identity, Socioeconomic Status, and Health Across the Life Course (SOGI-SES) study (2020-2021) in the United States. We used the adjusted Wald test to compare proportions of respondents who were (1) categorized as heterosexual or straight and sexual minorities using the sexual orientation questions designed for the Add Health study and the National Health Interview Survey (NHIS) and (2) diagnosed with depression or anxiety or panic disorder. Results. The Add Health question detected more than twice as many sexual minority respondents as the NHIS question. Those who responded as sexual minorities to the Add Health question but as heterosexual or straight to the NHIS question, primarily “mostly heterosexuals,” had mental health outcomes that were more like those who were consistently classified as sexual minorities versus those consistently classified as heterosexual or straight. Conclusions. Current measures of sexual orientation in national-level surveys may underestimate the sexual minority population and sexual orientation‒related health disparities. Public Health Implications. Results illustrate the need for further research to expand measurement of sexual orientation on population-based health surveys. (Am J Public Health. 2024;114(12):1375-1383. https://doi.org/10.2105/AJPH.2024.307839).

PMID:39504554 | DOI:10.2105/AJPH.2024.307839

JMIR Public Health Surveill. 2024 Nov 6;10:e63211. doi: 10.2196/63211.

ABSTRACT

BACKGROUND: Evidence has shown that HIV prevalence among young people, especially college students, has increased disproportionately. Preexposure prophylaxis (PrEP) and postexposure prophylaxis (PEP) are two of the most effective ways to prevent HIV, which are vital for college students with sexual experiences who have sexual risks.

OBJECTIVE: To provide evidence for effective intervention to reduce the risk of HIV infection among young students, this study aimed to analyze the awareness and uptake of HIV PrEP and PEP among college students with sexual experiences.

METHODS: An institutional-based cross-sectional study design was used to collect data through an electronic questionnaire from college students in 5 colleges located in Zhejiang Province. A total of 21,962 college students were investigated, of which 2605 students with sexual experiences were included in the data analysis with the following information collected: sociodemographic characteristics, awareness and uptake of HIV PrEP and PEP, sexual behaviors, and HIV tests. Binary logistic regression analysis was used to explore the factors on seeking PrEP and PEP.

RESULTS: The average age of college students with sexual experiences was 21.25 (SD 2.75) years. Overall, 61.4% (n=1600) of the participants were aware of PrEP, and 53.0% (n=1380) of them were aware of PEP. Moreover, 5.6% (n=146) of them have sought PrEP or/and PEP, and 89.1% (n=2321) have not sought PrEP or PEP. College students who had more than 6 sexual partners, have always had unprotected sex, have subjective perceived risk behavior, and undergo HIV testing were more likely to seek PrEP or/and PEP. The main ways for the participants to learn PrEP and PEP were through school clubs, the internet, and the Centers for Disease Control and Prevention. Moreover, senior students and those who had not undergone an HIV test had a lower likelihood of seeking PrEP and PEP. College students who did not have risky sexual behaviors (odds ratio 0.468, P=.004) and homosexual students (odds ratio 0.318, P=.03) were more likely not to seek PEP.

CONCLUSIONS: College students with sexual experiences rarely seek PrEP and PEP, with a relatively low awareness of PrEP and PEP. It is very important to increase the knowledge and uptake of PrEP and PEP by educational and behavioral interventions among young students at risk for HIV infection.

PMID:39504545 | DOI:10.2196/63211

JMIR Public Health Surveill. 2024 Nov 6;10:e60001. doi: 10.2196/60001.

ABSTRACT

BACKGROUND: Crisis pregnancy centers (CPCs) are religious nonprofit organizations with a primary mission of diverting people from having abortions. One CPC tactic has been to locate near abortion facilities. Despite medical groups’ warnings that CPCs do not adhere to medical and ethical standards and pose risks, government support for CPCs has significantly increased.

OBJECTIVE: This study aims to map CPCs, abortion facilities, and geographical areas in the United States into 4 zones based on their proximity to CPCs and abortion facilities. We sought to describe the number and percentage of reproductive-aged women living in each zone and the proximity of CPCs to abortion facilities.

METHODS: Using 2021 data from CPC Map and the Advancing New Standards in Reproductive Health Abortion Facility Database, we determined the ratio of CPCs to abortion facilities. Along with census data, we categorized and mapped US block groups into 4 distinct zones based on locations of block group centroids within 15-mile (1 mile is approximately 1.609 km) radii of CPCs and abortion facilities, namely “no presence,” “CPC only,” “abortion facility only,” and “dual presence.” We calculated the number and percentage of block groups and reproductive-aged (15-49 years) women living in each zone. We calculated driving distances and drive times from abortion facilities to the nearest CPC and mapped abortion facilities with CPCs in close proximity. All analyses were conducted nationally and by region, division, and state.

RESULTS: Nationally, the ratio of CPCs to abortion facilities was 3.4, and 54.9% (131,410/239,462) of block groups were categorized in the “dual presence” zone, 26.6% (63,679/239,462) as “CPC only,” and 0.8% (63,679/239,462) as “abortion facility only.” Most reproductive-aged women (45,150,110/75,582,028, 59.7%) lived in a “dual presence” zone, 26.1% (19,696,572/75,582,028) in a “CPC only” zone, and 0.8% (625,403/75,582,028) in an “abortion facility only” zone. The number of block groups and women classified as living in each zone varied by region, division, and state. Nationally, the median distance from abortion facilities to the nearest CPC was 2 miles, and the median drive time was 5.5 minutes. Minimum drive times were <1 minute in all but 11 states. The percentages of abortion facilities with a CPC within 0.25, 0.5, 1, and 3 miles were 14.1% (107/757), 22.6% (171/757), 36.1% (273/757), and 66.3% (502/757), respectively.

CONCLUSIONS: The findings suggest that CPCs’ tactic of locating near abortion facilities was largely realized before the 2022 US Supreme Court decision that overturned the federal right to abortion. Research on CPCs’ locations and tactics should continue given the dynamic abortion policy landscape and risks posed by CPCs. Tailored programming to raise awareness about CPCs and help people identify and access safe sources of health care may mitigate harm. Increased regulation of CPCs and government divestment may also mitigate CPC harms.

PMID:39504544 | DOI:10.2196/60001

J Neurosurg. 2024 Nov 8:1-7. doi: 10.3171/2024.6.JNS24617. Online ahead of print.

ABSTRACT

OBJECTIVE: In this study the authors assessed the ability of Chat Generative Pretrained Transformer (ChatGPT) 3.5 and ChatGPT4 to generate readable and accurate summaries of published neurosurgical literature.

METHODS: Abstracts published in journal issues released between June 2023 and August 2023 (n = 150) were randomly selected from the top 5 ranked neurosurgical journals according to Google Scholar. ChatGPT models were instructed to generate a readable layperson summary of the original abstract from a statistically validated prompt. Readability results and grade-level indicators (RR-GLIs) scores were calculated for GPT3.5- and GPT4-generated summaries and original abstracts. Two physicians independently rated the accuracy of ChatGPT-generated layperson summaries to assess scientific validity. One-way ANOVA followed by pairwise t-test with Bonferroni correction were performed to compare readability scores. Cohen’s kappa was used to assess interrater agreement between the two rater physicians.

RESULTS: Analysis of 150 original abstracts showed a statistically significant difference for all RR-GLIs between the ChatGPT-generated summaries and original abstracts. The readability scores are formatted as follows (original abstract mean, GPT3.5 summary mean, GPT4 summary mean, p value): Flesch-Kincaid reading grade (12.55, 7.80, 7.70, p < 0.0001); Gunning fog score (15.46, 10.00, 9.00, p < 0.0001); Simple Measure of Gobbledygook (SMOG) index (11.30, 7.13, 6.60, p < 0.0001); Coleman-Liau index (14.67, 11.32, 10.26, p < 0.0001); automated readability index (10.87, 8.50, 7.75, p < 0.0001); and Flesch-Kincaid reading ease (33.29, 68.45, 69.55, p < 0.0001). GPT4-generated summaries demonstrated higher RR-GLIs than GPT3.5-generated summaries in the following categories: Gunning fog score (0.0003); SMOG index (0.027); Coleman-Liau index (< 0.0001); sentences (< 0.0001); complex words (< 0.0001); and % complex words (0.0035). A total of 68.4% and 84.2% of GPT3.5- and GPT4-generated summaries, respectively, maintained moderate scientific accuracy according to the two physician-reviewers.

CONCLUSIONS: The findings demonstrate promising potential for application of the ChatGPT in patient education. GPT4 is an accessible tool that can be an immediate solution to enhancing the readability of current neurosurgical literature. Layperson summaries generated by GPT4 would be a valuable addition to a neurosurgical journal and would be likely to improve comprehension for patients using internet resources like PubMed.

PMID:39504543 | DOI:10.3171/2024.6.JNS24617

Biometrics. 2024 Oct 3;80(4):ujae130. doi: 10.1093/biomtc/ujae130.

ABSTRACT

Mental disorders present challenges in diagnosis and treatment due to their complex and heterogeneous nature. Electroencephalogram (EEG) has shown promise as a source of potential biomarkers for these disorders. However, existing methods for analyzing EEG signals have limitations in addressing heterogeneity and capturing complex brain activity patterns between regions. This paper proposes a novel random effects state-space model (RESSM) for analyzing large-scale multi-channel resting-state EEG signals, accounting for the heterogeneity of brain connectivities between groups and individual subjects. We incorporate multi-level random effects for temporal dynamical and spatial mapping matrices and address non-stationarity so that the brain connectivity patterns can vary over time. The model is fitted under a Bayesian hierarchical model framework coupled with a Gibbs sampler. Compared to previous mixed-effects state-space models, we directly model high-dimensional random effects matrices of interest without structural constraints and tackle the challenge of identifiability. Through extensive simulation studies, we demonstrate that our approach yields valid estimation and inference. We apply RESSM to a multi-site clinical trial of major depressive disorder (MDD). Our analysis uncovers significant differences in resting-state brain temporal dynamics among MDD patients compared to healthy individuals. In addition, we show the subject-level EEG features derived from RESSM exhibit a superior predictive value for the heterogeneous treatment effect compared to the EEG frequency band power, suggesting the potential of EEG as a valuable biomarker for MDD.

PMID:39504537 | DOI:10.1093/biomtc/ujae130

ACS Appl Mater Interfaces. 2024 Nov 6. doi: 10.1021/acsami.4c14392. Online ahead of print.

ABSTRACT

Two-dimensional ferroelectric materials have emerged as a promising candidate for the development of next-generation photodetectors owing to their inherent photogalvanic effect (PGE) and strong light-matter interactions. Recently, the first-ever elemental-based ferroelectric material, black-phosphorus-like Bi (BP-Bi), has been successfully synthesized. In this work, we investigate the PGE of the monolayer (ML) BP-Bi by using ab initio quantum transport simulation. We find that the photocurrent of the ML BP-Bi in the ferroelectric direction (armchair) is significantly larger than that in the vertical ferroelectric direction [zigzag (ZZ)]. For example, despite the comparable optical absorption rates of BP-Bi in the armchair (ARM) and ZZ directions, the maximum photocurrent (133 mA/W) in the ARM direction is 2 orders of magnitude greater than that (4.70 mA/W) in the ZZ direction. The asymmetry is attributed to the breaking and existence of the mirror inversion symmetries along the ARM and ZZ directions, respectively. Our work paves the way for the research of the low-dimensional ferroelectric photodetector.

PMID:39504511 | DOI:10.1021/acsami.4c14392

Br J Radiol. 2024 Nov 6:tqae227. doi: 10.1093/bjr/tqae227. Online ahead of print.

ABSTRACT

OBJECTIVE: To evaluate the value of conventional ultrasound (US), strain elastography (SE), and shear wave elastography (SWE) in detecting diabetic peripheral neuropathy (DPN) of the tibial nerve (TN), and to establish a predictive model for the diagnosis of DPN.

METHODS: 32 healthy participants, 34 diabetic patients without DPN, and 36 diabetic patients with DPN were recruited for this study. The TN at the ankle and popliteal fossa were selected for examination. US was used to measure the cross-sectional area (CSA) and perimeter of the TN. Additionally, SE was employed to measure the strain ratio (SR) between the TN and the surrounding adipose tissue, and SWE was used to measure the Shear Wave Velocity (SWV) of the TN.

RESULTS: The CSA, perimeter, SR and SWV of the TN at the ankle were significantly higher in the DPN group compared to both the Non-DPN group and control group (P < 0.05). Similarly, the TN at the popliteal fossa showed these differences. At the ankle, the CSA, perimeter, SR, and SWV of the TN in patients without DPN were significantly higher than those in the control group (P < 0.05). At the popliteal fossa, the SR and SWV of the TN in patients without DPN were significantly higher than those in the control group (P < 0.05). However, the CSA and perimeter of the TN in patients without DPN did not show a statistically significant difference compared to the control group. The area under the curve (AUC) for the diagnosis of DPN using SWE is significantly greater than that of SE and US.

CONCLUSION: US, SE, and SWE could be used to diagnose DPN, and they also have good diagnostic value for sub-clinical DPN. Among these methods, SWE has demonstrated superior diagnostic efficacy. Compared to examining the TN in the popliteal fossa, the ankle level offers a better site for examination.

ADVANCES IN KNOWLEDGE: For diabetic peripheral neuropathy, US, SE, and SWE are all promising diagnostic methods with high clinical utility.

PMID:39504467 | DOI:10.1093/bjr/tqae227

Retina. 2024 Oct 23. doi: 10.1097/IAE.0000000000004317. Online ahead of print.

ABSTRACT

PURPOSE: To report the visual outcomes and complications in eyes with retained lens fragments (RLF) following cataract surgery undergoing pars plana lensectomy (PPL) and scleral-fixated intraocular lens insertion (SFIOL).

METHODS: Patients with RLF who underwent pars plana vitrectomy (PPV), PPL, and SFIOL insertion from January 2015 to December 2022 were included. The visual acuity (VA) outcomes and complication rates were compared between those receiving sutured versus sutureless SFIOL insertion as well as those undergoing SFIOL insertion at the time of PPV and PPL versus those undergoing SFIOL insertion during a subsequent surgery.

RESULTS: 65 eyes of 65 patients were included. Median (interquartile range) pre-operative logarithm of the minimum angle of resolution (logMAR) VA was 2.3 (2-2.3; Snellen: HM). The median logMAR VA improved to 0.14 (Snellen: 20/100), at the most-recent follow-up (p<0.001, Hodges-Lehmann estimator:1.56, 95% confidence interval -1.30 to -1.71). There was no statistically significant difference in VA outcomes and the complication rates, including cystoid macular edema, corneal edema, and retinal detachment, regardless of technique or timing of SFIOL insertion.

CONCLUSIONS: In this retrospective study with small sample size, similar visual acuity outcomes and complication rates were observed regardless of the timing or technique of SFIOL insertion.

PMID:39504464 | DOI:10.1097/IAE.0000000000004317

JMIR Mhealth Uhealth. 2024 Nov 6;12:e56027. doi: 10.2196/56027.

ABSTRACT

BACKGROUND: Consumer-based wearables are becoming more popular and provide opportunities to track individual’s clinical parameters remotely. However, literature about their criterion and known-groups validity is scarce.

OBJECTIVE: This study aimed to assess the validity of the Fitbit Charge 4, a wrist-worn consumer-based wearable, to measure clinical parameters (ie, daily step count, resting heart rate [RHR], heart rate variability [HRV], respiratory rate [RR], and oxygen saturation) in patients with chronic obstructive pulmonary disease (COPD) and healthy controls in free-living conditions in Belgium by comparing it with medical-grade devices.

METHODS: Participants wore the Fitbit Charge 4 along with three medical-grade devices: (1) Dynaport MoveMonitor for 7 days, retrieving daily step count; (2) Polar H10 for 5 days, retrieving RHR, HRV, and RR; and (3) Nonin WristOX2 3150 for 4 nights, retrieving oxygen saturation. Criterion validity was assessed by investigating the agreement between day-by-day measures of the Fitbit Charge 4 and the corresponding reference devices. Known-groups validity was assessed by comparing patients with COPD and healthy controls.

RESULTS: Data of 30 patients with COPD and 25 age- and gender-matched healthy controls resulted in good agreement between the Fitbit Charge 4 and the corresponding reference device for measuring daily step count (intraclass correlation coefficient [ICC2,1]=0.79 and ICC2,1=0.85, respectively), RHR (ICC2,1=0.80 and ICC2,1=0.79, respectively), and RR (ICC2,1=0.84 and ICC2,1=0.77, respectively). The agreement for HRV was moderate (healthy controls: ICC2,1=0.69) to strong (COPD: ICC2,1=0.87). The agreement in measuring oxygen saturation in patients with COPD was poor (ICC2,1=0.32). The Fitbit device overestimated the daily step count and underestimated HRV in both groups. While RHR and RR were overestimated in healthy controls, no difference was observed in patients with COPD. Oxygen saturation was overestimated in patients with COPD. The Fitbit Charge 4 detected significant differences in daily step count, RHR, and RR between patients with COPD and healthy controls, similar to those identified by the reference devices, supporting known-groups validity.

CONCLUSIONS: Although the Fitbit Charge 4 shows mainly moderate to good agreement, measures of clinical parameters deviated from the reference devices, indicating that monitoring patients remotely and interpreting parameters requires caution. Differences in clinical parameters between patients with COPD and healthy controls that were measured by the reference devices were all detected by the Fitbit Charge 4.

PMID:39504450 | DOI:10.2196/56027

JMIR Med Educ. 2024 Nov 6;10:e63430. doi: 10.2196/63430.

ABSTRACT

BACKGROUND: Recent studies, including those by the National Board of Medical Examiners, have highlighted the remarkable capabilities of recent large language models (LLMs) such as ChatGPT in passing the United States Medical Licensing Examination (USMLE). However, there is a gap in detailed analysis of LLM performance in specific medical content areas, thus limiting an assessment of their potential utility in medical education.

OBJECTIVE: This study aimed to assess and compare the accuracy of successive ChatGPT versions (GPT-3.5, GPT-4, and GPT-4 Omni) in USMLE disciplines, clinical clerkships, and the clinical skills of diagnostics and management.

METHODS: This study used 750 clinical vignette-based multiple-choice questions to characterize the performance of successive ChatGPT versions (ChatGPT 3.5 [GPT-3.5], ChatGPT 4 [GPT-4], and ChatGPT 4 Omni [GPT-4o]) across USMLE disciplines, clinical clerkships, and in clinical skills (diagnostics and management). Accuracy was assessed using a standardized protocol, with statistical analyses conducted to compare the models’ performances.

RESULTS: GPT-4o achieved the highest accuracy across 750 multiple-choice questions at 90.4%, outperforming GPT-4 and GPT-3.5, which scored 81.1% and 60.0%, respectively. GPT-4o’s highest performances were in social sciences (95.5%), behavioral and neuroscience (94.2%), and pharmacology (93.2%). In clinical skills, GPT-4o’s diagnostic accuracy was 92.7% and management accuracy was 88.8%, significantly higher than its predecessors. Notably, both GPT-4o and GPT-4 significantly outperformed the medical student average accuracy of 59.3% (95% CI 58.3-60.3).

CONCLUSIONS: GPT-4o’s performance in USMLE disciplines, clinical clerkships, and clinical skills indicates substantial improvements over its predecessors, suggesting significant potential for the use of this technology as an educational aid for medical students. These findings underscore the need for careful consideration when integrating LLMs into medical education, emphasizing the importance of structured curricula to guide their appropriate use and the need for ongoing critical analyses to ensure their reliability and effectiveness.

PMID:39504445 | DOI:10.2196/63430