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Nevin Manimala Statistics

The campus food environment and postsecondary student diet: a systematic review

J Am Coll Health. 2023 Jul 12:1-25. doi: 10.1080/07448481.2023.2227725. Online ahead of print.

ABSTRACT

Objective: Examine the impact of the campus food environment on postsecondary students’ dietary behaviors (e.g., dietary intake) and food purchasing. Participants: Students currently attending a postsecondary institution, all ages and geographic locations included. Methods: A systematic search from January 2000-October 2022 was conducted in six databases using postsecondary education, food environment, and diet related keywords. Results: In total, 25 quantitative and 10 qualitative studies were extracted. All quantitative studies that conducted statistical analyses (n = 15) reported a statistically significant relationship between the campus food environment and dietary intake, including both positive and negative effects. All qualitative studies (n = 10) discussed students’ experience of the campus food environment influencing their diet. Conclusions: This review found moderate evidence that the campus food environment has an impact on postsecondary students’ dietary behaviors. A campus environment that has healthy foods accessible, affordable, and acceptable for postsecondary students may have a beneficial impact on students’ dietary intake.

PMID:37437204 | DOI:10.1080/07448481.2023.2227725

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Nevin Manimala Statistics

Mean-Field Approximations With Adaptive Coupling for Networks With Spike-Timing-Dependent Plasticity

Neural Comput. 2023 Jul 12:1-48. doi: 10.1162/neco_a_01601. Online ahead of print.

ABSTRACT

Understanding the effect of spike-timing-dependent plasticity (STDP) is key to elucidating how neural networks change over long timescales and to design interventions aimed at modulating such networks in neurological disorders. However, progress is restricted by the significant computational cost associated with simulating neural network models with STDP and by the lack of low-dimensional description that could provide analytical insights. Phase-difference-dependent plasticity (PDDP) rules approximate STDP in phase oscillator networks, which prescribe synaptic changes based on phase differences of neuron pairs rather than differences in spike timing. Here we construct mean-field approximations for phase oscillator networks with STDP to describe part of the phase space for this very high-dimensional system. We first show that single-harmonic PDDP rules can approximate a simple form of symmetric STDP, while multiharmonic rules are required to accurately approximate causal STDP. We then derive exact expressions for the evolution of the average PDDP coupling weight in terms of network synchrony. For adaptive networks of Kuramoto oscillators that form clusters, we formulate a family of low-dimensional descriptions based on the mean-field dynamics of each cluster and average coupling weights between and within clusters. Finally, we show that such a two-cluster mean-field model can be fitted to synthetic data to provide a low-dimensional approximation of a full adaptive network with symmetric STDP. Our framework represents a step toward a low-dimensional description of adaptive networks with STDP and could, for example inform the development of new therapies aimed at maximizing the long-lasting effects of brain stimulation.

PMID:37437202 | DOI:10.1162/neco_a_01601

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Nevin Manimala Statistics

Youth sport participation, injury history, and current physical activity among young adults

J Am Coll Health. 2023 Jul 12:1-6. doi: 10.1080/07448481.2023.2230303. Online ahead of print.

ABSTRACT

Objective: To examine the interaction between high school (HS) sports participation and injury history with current moderate-to-vigorous physical activity (MVPA) among young adults. Participants: Participants (N = 236) were 18-25 years old, not currently injured, and reported no physical activity limitations. Methods: Participants completed online demographic, injury history, and physical activity surveys. A two-way analysis of covariance was used to test the interaction between HS athlete status and previous injury severity on current self-reported MVPA. Results: Participants were 22.2 ± 2.1 years, primarily White (81.8%) or Asian (6.4%), and female (77.5%). After including body mass index and race as covariates, there was a statistically significant interaction between HS athlete status and previous injury history such that current MVPA was higher among former HS athletes compared to HS recreational/nonathletes when individuals reported no injuries or mild injury severity. MVPA was similar across athlete status groups when participants reported high levels of injury severity. Conclusions: Future studies should examine whether young adults who have experienced multiple and/or severe injuries as competitive HS athletes have unique physical activity barriers.

PMID:37437201 | DOI:10.1080/07448481.2023.2230303

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Nevin Manimala Statistics

Applying the theory of planned behavior to predict COVID-19 booster vaccination intentions of college students

J Am Coll Health. 2023 Jul 12:1-10. doi: 10.1080/07448481.2023.2228425. Online ahead of print.

ABSTRACT

Objective: The purpose of this study was: (a) to determine COVID-19 vaccination rates among college students, (b) to assess what proportion of college students self-report currently or previously having COVID-19, and (c) to test theory of planned behavior (TPB)-based constructs in predicting the COVID-19 booster vaccination behavioral intentions. Methods: A non-experimental, cross-sectional study design was applied. Participants: The sample consisted of 288 college students ages 18 years and older. Results: The stepwise multiple regression revealed that attitude (β = .329; p < .001) and subjective norm (β = .244; p < .001) were statistically significant predictors of intention to receive the COVID-19 booster, accounting for 86.7% (Adjusted R2 = .867, F (2, 204 = 673.002, p < .001) of the variance. Conclusions: College students are at high risk for more severe complications of COVID-19 infection due to low vaccination rates. The instrument designed for this study may be used to design TPB-based interventions to increase COVID-19 vaccination and booster intentions of college students.

PMID:37437193 | DOI:10.1080/07448481.2023.2228425

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Nevin Manimala Statistics

An International Survey of SEEG Cortical Stimulation Practices

Epilepsia Open. 2023 Jul 12. doi: 10.1002/epi4.12790. Online ahead of print.

ABSTRACT

OBJECTIVE: Cortical stimulation is an important component of stereo-electroencephalography (SEEG). Despite this, there is currently no standardised approach and significant heterogeneity in the literature regarding cortical stimulation practices. Via an international survey of SEEG clinicians, we sought to examine the spectrum of cortical stimulation practices to reveal areas of consensus and variability.

METHODS: A 68-item questionnaire was developed to understand cortical stimulation practices including neurostimulation parameters, interpretation of epileptogenicity, functional and cognitive assessment and subsequent surgical decisions. Multiple recruitment pathways were pursued, with the questionnaire distributed directly to 183 clinicians.

RESULTS: Responses were received from 56 clinicians across 17 countries with experience ranging from 2 to 60 years (M=10.73, SD=9.44). Neurostimulation parameters varied considerably, with maximum current ranging from 3-10mA (M=5.33, SD=2.29) for 1Hz and 2-15mA (M=6.54, SD=3.68) for 50Hz stimulation. Charge density ranged from 8-200μC/cm2 , with up to 43% of responders utilising charge densities higher than recommended upper safety limits i.e.55μC/cm2 . North American responders reported statistically significant higher maximum current (p<0.001) for 1Hz stimulation and lower pulse width for 1Hz and 50Hz stimulation (p=0.008, p<0.001, respectively) compared to European responders. All clinicians evaluated language, speech, and motor function during cortical stimulation; in contrast, 42% assessed visuospatial or visual function, 29% memory, and 13% executive function. Striking differences were reported in approaches to assessment, classification of positive sites and surgical decisions guided by cortical stimulation. Patterns of consistency were observed for interpretation of the localising capacity of stimulated electroclinical seizures and auras, with habitual electroclinical seizures induced by 1Hz stimulation considered the most localising.

SIGNIFICANCE: SEEG cortical stimulation practices differed vastly across clinicians internationally, highlighting the need for consensus based clinical guidelines. In particular, an internationally standardised approach to assessment, classification, and functional prognostication will provide a common clinical and research framework for optimising outcomes for people with drug-resistant epilepsy.

PMID:37437189 | DOI:10.1002/epi4.12790

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Nevin Manimala Statistics

Low-Cost Sensor Performance Intercomparison, Correction Factor Development, and 2+ Years of Ambient PM2.5 Monitoring in Accra, Ghana

Environ Sci Technol. 2023 Jul 12. doi: 10.1021/acs.est.2c09264. Online ahead of print.

ABSTRACT

Particulate matter air pollution is a leading cause of global mortality, particularly in Asia and Africa. Addressing the high and wide-ranging air pollution levels requires ambient monitoring, but many low- and middle-income countries (LMICs) remain scarcely monitored. To address these data gaps, recent studies have utilized low-cost sensors. These sensors have varied performance, and little literature exists about sensor intercomparison in Africa. By colocating 2 QuantAQ Modulair-PM, 2 PurpleAir PA-II SD, and 16 Clarity Node-S Generation II monitors with a reference-grade Teledyne monitor in Accra, Ghana, we present the first intercomparisons of different brands of low-cost sensors in Africa, demonstrating that each type of low-cost sensor PM2.5 is strongly correlated with reference PM2.5, but biased high for ambient mixture of sources found in Accra. When compared to a reference monitor, the QuantAQ Modulair-PM has the lowest mean absolute error at 3.04 μg/m3, followed by PurpleAir PA-II (4.54 μg/m3) and Clarity Node-S (13.68 μg/m3). We also compare the usage of 4 statistical or machine learning models (Multiple Linear Regression, Random Forest, Gaussian Mixture Regression, and XGBoost) to correct low-cost sensors data, and find that XGBoost performs the best in testing (R2: 0.97, 0.94, 0.96; mean absolute error: 0.56, 0.80, and 0.68 μg/m3 for PurpleAir PA-II, Clarity Node-S, and Modulair-PM, respectively), but tree-based models do not perform well when correcting data outside the range of the colocation training. Therefore, we used Gaussian Mixture Regression to correct data from the network of 17 Clarity Node-S monitors deployed around Accra, Ghana, from 2018 to 2021. We find that the network daily average PM2.5 concentration in Accra is 23.4 μg/m3, which is 1.6 times the World Health Organization Daily PM2.5 guideline of 15 μg/m3. While this level is lower than those seen in some larger African cities (such as Kinshasa, Democratic Republic of the Congo), mitigation strategies should be developed soon to prevent further impairment to air quality as Accra, and Ghana as a whole, rapidly grow.

PMID:37437161 | DOI:10.1021/acs.est.2c09264

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Nevin Manimala Statistics

BRAF-MEK Inhibition in Newly Diagnosed Papillary Craniopharyngiomas

N Engl J Med. 2023 Jul 13;389(2):118-126. doi: 10.1056/NEJMoa2213329.

ABSTRACT

BACKGROUND: Craniopharyngiomas, primary brain tumors of the pituitary-hypothalamic axis, can cause clinically significant sequelae. Treatment with the use of surgery, radiation, or both is often associated with substantial morbidity related to vision loss, neuroendocrine dysfunction, and memory loss. Genotyping has shown that more than 90% of papillary craniopharyngiomas carry BRAF V600E mutations, but data are lacking with regard to the safety and efficacy of BRAF-MEK inhibition in patients with papillary craniopharyngiomas who have not undergone previous radiation therapy.

METHODS: Eligible patients who had papillary craniopharyngiomas that tested positive for BRAF mutations, had not undergone radiation therapy previously, and had measurable disease received the BRAF-MEK inhibitor combination vemurafenib-cobimetinib in 28-day cycles. The primary end point of this single-group, phase 2 study was objective response at 4 months as determined with the use of centrally determined volumetric data.

RESULTS: Of the 16 patients in the study, 15 (94%; 95% confidence interval [CI], 70 to 100) had a durable objective partial response or better to therapy. The median reduction in the volume of the tumor was 91% (range, 68 to 99). The median follow-up was 22 months (95% CI, 19 to 30) and the median number of treatment cycles was 8. Progression-free survival was 87% (95% CI, 57 to 98) at 12 months and 58% (95% CI, 10 to 89) at 24 months. Three patients had disease progression during follow-up after therapy had been discontinued; none have died. The sole patient who did not have a response stopped treatment after 8 days owing to toxic effects. Grade 3 adverse events that were at least possibly related to treatment occurred in 12 patients, including rash in 6 patients. In 2 patients, grade 4 adverse events (hyperglycemia in 1 patient and increased creatine kinase levels in 1 patient) were reported; 3 patients discontinued treatment owing to adverse events.

CONCLUSIONS: In this small, single-group study involving patients with papillary craniopharyngiomas, 15 of 16 patients had a partial response or better to the BRAF-MEK inhibitor combination vemurafenib-cobimetinib. (Funded by the National Cancer Institute and others; ClinicalTrials.gov number, NCT03224767.).

PMID:37437144 | DOI:10.1056/NEJMoa2213329

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Nevin Manimala Statistics

The Journey of Material From Clinic to Pathology Laboratory: How Much Do Clinical Residents Know About This Process?

Int J Surg Pathol. 2023 Jul 12:10668969231185090. doi: 10.1177/10668969231185090. Online ahead of print.

ABSTRACT

Introduction. Pathology plays a major role in the management of patients. Specimen delivery to a pathology laboratory is the first step in the process. Sending materials to the pathology laboratory should be included as part of residency training. The aim of this study was to determine the level of knowledge and daily practice of residents who send materials to pathology laboratory. Methods. A 34-item questionnaire asking questions about biopsy/resection and cytology material handling and transportation was answered by 154 residents. Likert scaling and multiple-choice questions with a single answer were used to evaluate the responses. Their daily routines and levels of knowledge were statistically analyzed. Results. The mean age of the respondents was 29.1 ± 3.04 (range: 24-42 years), and 63% of the residents were male. The residents of the university hospital claimed that the clinical information they had learned about transferring material to the pathology laboratory was “sufficient” or “very sufficient” (statistically significant, P = .04). Correct answers about the process of sending biopsy/resection materials of experienced residents were statistically higher, while there was no statistical significance for questions about cytology materials (P = .005, P = .24, respectively). Conclusion. The pathway to correct diagnosis builds on an understanding of the significance of pathology material. In residency training, knowledge about delivering biopsy/resection material to pathology laboratory is mostly acquired through experience. Experienced residents seem to be less familiar with cytology materials. Clinicopathological meetings may solve the main problems, but both clinics and pathology departments need to emphasize this process.

PMID:37437129 | DOI:10.1177/10668969231185090

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Nevin Manimala Statistics

Improving Access and Timeliness of Early Palliative Care Specialist Assessment for Patients With Advanced Lung Cancer in a Rapid Assessment Clinic

J Palliat Med. 2023 Jul 12. doi: 10.1089/jpm.2022.0544. Online ahead of print.

ABSTRACT

Background: Integrating palliative care in the management of patients with lung cancer improves quality of life, patient satisfaction, and overall survival. However, few patients receive timely palliative care consultation. The Lung Diagnostic Assessment Program (LDAP) in Southeastern Ontario is a multidisciplinary rapid assessment clinic that expedites the diagnosis and management of patients with suspected lung cancer. Objectives: We sought to increase the percentage of LDAP patients with stage IV lung cancer receiving palliative care consultation within three months of diagnosis. Design: We integrated a palliative care specialist in LDAP to facilitate in-person, same-visit consultation for patients with a new lung cancer diagnosis. Setting/Subjects: Five hundred fifty patients in a Canadian academic center (154 initial baseline, 104 COVID baseline, 292 post-palliative care integration). Measurements: Baseline data were established using retrospective chart review (February-June 2020 and December 2020-March 2021 due to COVID-19 pandemic). Data were collected prospectively to assess improvement (March-August 2021). Statistical Process Control charts assessed for special cause variation; chi-square tests assessed for differences between groups. Results: The percentage of patients with stage IV lung cancer seen by palliative care within three months increased from 21.8% (12/55) during early-COVID baseline to 49.2% (32/65) after palliative care integration (p < 0.006). Palliative care integration in LDAP reduced mean time from referral to consultation from 24.8 to 12.3 days, including same-day consultation for 15/32 (46.8%) patients with stage IV disease. Conclusions: Integrating palliative care specialists into LDAP improved the timeliness of palliative care assessment for patients with stage IV lung cancer.

PMID:37437122 | DOI:10.1089/jpm.2022.0544

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Nevin Manimala Statistics

Inferring sparse structure in genotype-phenotype maps

Genetics. 2023 Jul 12:iyad127. doi: 10.1093/genetics/iyad127. Online ahead of print.

ABSTRACT

Correlation among multiple phenotypes across related individuals may reflect some pattern of shared genetic architecture: individual genetic lociaffect multiple phenotypes (an effect known as pleiotropy), creating observable relationships between phenotypes. A natural hypothesis is that pleiotropic effects reflect a relatively small set of common “core” cellular processes: each genetic locus affects one or a few core processes, and these core processes in turn determine the observed phenotypes. Here, we propose a method to infer such structure in genotype-phenotype data. Our approach, sparse structure discovery (SSD) is based on a penalized matrix decomposition designed to identify latent structure that is low-dimensional (many fewer core processes than phenotypes and genetic loci), locus-sparse (each locus affects few core processes) and/or phenotype-sparse (each phenotype is influenced by few core processes). Our use of sparsity as a guide in the matrix decomposition is motivated by the results of a novel empirical test indicating evidence of sparse structure in several recent genotype-phenotype data sets. First, we use synthetic data to show that our SSD approach can accurately recover core processes if each genetic locus affects few core processes or if each phenotype is affected by few core processes. Next, we apply the method to three datasets spanning adaptive mutations in yeast, genotoxin robustness assay in human cell lines, and genetic loci identified from a yeast cross, and evaluate the biological plausibility of the core process identified. More generally, we propose sparsity as a guiding prior for resolving latent structure in empirical genotype-phenotype maps.

PMID:37437111 | DOI:10.1093/genetics/iyad127