bluuebunny/crossref_metadata_2025_split huggingface dataset:
Course of long COVID symptoms over time in the ComPaRe long COVID prospective e-cohort
Authors: Tran Viet-Thi , Porcher Raphael , Pane Isabelle , Ravaud Philippe 
Published: November 2021

Abstract
About 10% of people infected by severe acute respiratory syndrome coronavirus 2 experience post COVID-19 disease. We analysed data from 968 adult patients (5350 person-months) with a confirmed infection enrolled in the ComPaRe long COVID cohort, a disease prevalent prospective e-cohort of such patients in France. Day-by-day prevalence of post COVID-19 symptoms was determined from patients’ responses to the Long COVID Symptom Tool, an online validated self-reported questionnaire assessing 53 post COVID-19 disease symptoms. One year after symptom onset, 84.9% patients still reported their persistence, with a progressively lower prevalence of 27/53 symptoms (e.g., loss of taste/smell); 18/53 symptoms (e.g., dyspnoea) were stable, while the prevalence of 8/53 symptoms (e.g., paraesthesia) had increased. The disease impact on patients’ lives began increasing 6 months after onset, as patients realized they had a chronic disease. Our results should be useful for researchers seeking the potential pathophysiological mechanisms underlying post COVID-19 disease.
UV Absorption by Silicate Cloud Precursors in Ultra-hot Jupiter WASP-178b
Authors: Lothringer Joshua , Sing David , Rustamkulov Zafar , Wakeford Hannah , Stevenson Kevin , Nikolov Nikolay , Lavvas Panayotis , Spake Jessica , Winch Autumn 
Published: November 2021

Abstract
Aerosols have been found to be nearly ubiquitous in substellar atmospheres. Evidence for the composition and conditions whereby these aerosols form remains limited (Cushing et al. 2006, Saumon & Marley 2008, Burningham 2021). Theoretical models and observations of muted spectral features suggest that silicate clouds play an important role in exoplanets between at least 950 and 2,100 K (Gao et al. 2020). However, some giant planets are thought to be hot enough to avoid condensation of even the most refractory elements (Lothringer et al. 2018, Kitzmann et al. 2018). Here, we present the near-UV transmission spectrum of an ultra-hot Jupiter WASP-178b (~2,450 K), that exhibits significant NUV absorption indicating the presence of gaseous refractory elements in the middle atmosphere. This short-wavelength absorption is among the largest spectral features ever observed in an exoplanet in terms of atmospheric scale heights. Bayesian retrievals indicate the broadband UV feature on WASP-178b is caused by refractory elements including silicon and magnesium bearing species, which are the precursors to condensate clouds at lower temperatures. Silicon in particular has not been detected in exoplanets before, but the presence of SiO in WASP-178b is consistent with theoretical expectation as the dominant Si-bearing species at high temperatures. These observations allow us to re-interpret previous observations of HAT-P-41b and WASP-121b to suggest that silicate cloud formation begins on exoplanets with equilibrium temperatures between 1,950 and 2,350 K.
Functional connectivity alteration of the deprived auditory regions with cognitive networks in deaf and inattentive adolescents
Authors: Li Jianhong , Men Weiwei , Gao Jia-Hong , Wang Yang , Qu Xiaoxia , Zhu David Chao Dong , Xian Junfang 
Published: November 2021

Abstract
Adolescents with early profound deafness may present with distractibility and inattentiveness. The brain mechanisms underlying these attention impairments remain unclear. We performed resting-state functional magnetic resonance imaging to investigate the functional connectivity of the superior temporal and transverse temporal gyri in 25 inattentive adolescents with bilateral prelingual profound deafness, and compared the results with those of 27 age-matched normal controls. Pearson and Spearman’s rho correlation analyses were used to investigate the correlations of altered functional connectivity with the attention scores on the Montreal Cognitive Assessment, years of deafness, sign language, and hearing aid usage. Compared with normal controls, prelingual profound deafness demonstrated mainly decreased resting-state functional connectivity between the deprived auditory regions and several other brain functional networks, including the attention control, language comprehension, default-mode, and sensorimotor networks. Moreover, we also found enhanced resting-state functional connectivity between the deprived auditory cortex and salience network. These results indicate a negative impact of early hearing loss on the attentional and other high cognitive networks, and the use of sign language and hearing aids normalized the participants’ connectivity between the primary auditory cortex and attention networks, which is crucial for the early intervention and clinical care of deaf adolescents.
The X-ray plateau phase of gamma-ray burst originating from an expanding shell with a Lorentz factor of a few tens
Authors: Dereli-Bégué Hüsne , Pe'er Asaf , Ryde Felix , Oates Sam R. , Zhang Bing , Dainotti Maria 
Published: November 2021

Abstract
Gamma-ray bursts (GRBs) are one of the most energetic explosions known in the Universe and are also known to have the most relativistic jets, with initial expansion Lorentz factors of $100< \Gamma_i <1000$ \cite{KP91, Fenimore+93, WL95, LS01, ZLB11, Zou+11, Racusin+11}. Many of these objects have a plateau in their early X-ray light curves (up to thousands of seconds) \cite{Nousek+06, OBrien+06, Zhang+06, Liang+07, Srinivasaragavan+20}. In this phase, the X-ray flux decreases much slower than theoretically expected \cite{MR93} which has puzzled the community for many years. Here, we show that the observed signal during this phase in both the X-ray and the optical bands is naturally obtained within the classical GRB “fireball” model, provided that (i) the initial Lorentz factor of the relativistically expanding jet is of the order of a few tens, rather than a few hundreds, as is often cited in the literature, and (ii) the expansion occurs into a medium-low density “wind” with density typically 3-4 orders of magnitude below the expectation from a Wolf-Rayet star \cite{CL99}. Within this framework, the end of the “plateau” phase (the beginning of the regular afterglow) marks the transition from the coasting phase to the self-similar expansion phase, which follows the scaling laws first derived by Blandford \& McKee.\cite{BM76}. This result therefore implies that the long GRB progenitors are either (i) not Wolf-Rayet stars, or (ii) the properties of the wind ejected by these stars prior to their final explosion are very different than the properties of the wind ejected at earlier times. This result shows that the range of Lorentz factors in GRB jets is much wider than previously thought, and bridges an observational ‘gap’ between mildly relativistic jets\cite{Ghisellini1993} inferred in active galactic nuclei, $\Gamma_i\lesssim 20$, to the much higher Lorentz factors, $\Gamma_i\lesssim 1000$ inferred in a few extreme GRBs\cite{Racusin+11}.
Depression, Anxiety and Stress Levels among Chronic Disease Patients During COVID-19 Pandemic in Dessie Town Hospitals, Ethiopia
Authors: Addis Sisay Gedamu , Nega Abebe Dires , Miretu Debrnesh Goshiye 
Published: November 2021

Introduction:
Coronavirus disease 2019 was first detected in China in December 2019. In Ethiopia, depression, anxiety, and stress levels of chronic disease patients were not known during COVID-19. Thus, this study aimed to assess depression, anxiety, and stress levels of chronic disease patients in government and private hospitals of Dessie town during COVID-19.

Methods:
Hospital-based cross-sectional study design was used. The Depression Anxiety and Stress Scale-21 was used to measure depression, anxiety, and stress of chronic disease patients during the current pandemic. Both binary and multivariate logistic regression analyses were performed to identify factors, and a significant association was declared at p-value < 0.05 in multivariate analysis.

Results and Discussion:
The overall anxiety, depression, and stress level were 19.9%, 21.5%, and 17.7%, respectively. In multivariate analysis, older age, female gender, urban residency, duration of living with chronic diseases, and presence of comorbidities were associated with depression of chronic disease patients during the pandemic at p-value <0.05. Age, female gender, presence of comorbidities, and no social support were associated with anxiety. Urban residency, use of hand sanitizer, those who had respiratory manifestations, and travel history in the last two weeks were significantly associated with stress levels.

Conclusion:
A significant number of chronic disease patients had depression, anxiety, and stress during the COVID-19 pandemic. Therefore, governmental and non-governmental organizations, health professionals, media, and hospital administrators should be involved to decrease the depression, anxiety, and stress of chronic disease patients during the pandemic. Moreover, we encourage researchers to conduct comparative longitudinal studies to assess depression, anxiety, and stress levels of chronic disease patients before and after the onset of the COVID-19 pandemic.
Cumulative Effects of Prenatal and Concurrent Maternal Distress
on Psychiatric Disorders in Adolescent Offspring
Authors: Mortaji Neda , Savoy Calan , Boylan Khrista , Amani Bahar , Lieshout Ryan J Van 
Published: November 2021

Background:
Mental disorders affect 20% of children and adolescents
globally and are among the most chronic and costly problems affecting youth.
Offspring exposure to maternal disorders (depression, anxiety, and/or stress)
prenatally as well as in adolescence increases the risk of psychopathology in
adolescence.

Objective:
Exposure to maternal distress in pregnancy, as well as in adolescence,
has independently been linked to psychopathology in youth. However, our
understanding of the cumulative effects of exposure to maternal distress over time
remains incomplete.

Methods:
1964 participants enrolled in the 2014 Ontario Child Health Study
(OCHS) aged 12-17 years completed the Mini-International Neuropsychiatric
Interview for Children and Adolescents (MINI-KID). Maternal prenatal distress
was defined as mother-reported depression and/or anxiety during pregnancy
requiring treatment. Maternal concurrent distress was self-reported when offspring
were 12-17 years of age using the Kessler Psychological Distress Scale (K6). We
examined associations between increasing levels of exposure to maternal distress
(no exposure, prenatal exposure only, concurrent exposure only, both prenatal and
concurrent exposure) and the risk of psychiatric disorder in 12-17-year-olds.

Results:
The odds of major depressive disorder (OR=1.29, 95% CI: 1.01-1.67) and
ADHD (OR=1.30, 95% CI: 1.02-1.65) increased with increasing exposure to
maternal distress. Associations between increasing levels of maternal distress and
several psychiatric disorders were amplified in males.

Conclusions:
The accumulation of exposure to maternal distress over time predicts
offspring psychopathology in adolescence and emphasizes the significance of the
early detection of maternal distress and ongoing monitoring and intervention to
reduce the burden of mental disorders in offspring.
A 12-Month Follow-Up of the Effects of a Digital Diabetes Prevention Program (VP Transform for Prediabetes) on Weight and Physical Activity Among Adults With Prediabetes: Secondary Analysis
Authors: Batten Ryan , Alwashmi Meshari F , Mugford Gerald , Nuccio Misa , Besner Angele , Gao Zhiwei 
Published: November 2021

Background
The prevalence of diabetes is increasing rapidly. Previous research has demonstrated the efficacy of a diabetes prevention program (DPP) in lifestyle modifications that can prevent or delay the onset of type 2 diabetes among individuals at risk. Digital DPPs have the potential to use technology, in conjunction with behavior change science, to prevent prediabetes on a national and global scale.

Objective
The aim of this study is to investigate the effects of a digital DPP (Virgin Pulse [VP] Transform for Prediabetes) on weight and physical activity among participants who had completed 12 months of the program.

Methods
This study was a secondary analysis of retrospective data of adults with prediabetes who were enrolled in VP Transform for Prediabetes for 12 months of the program. The program incorporates interactive mobile computing, remote monitoring, an evidence-based curriculum, behavior tracking tools, health coaching, and online peer support to prevent or delay the onset of type 2 diabetes.

Results
The sample (N=1095) was comprised of people with prediabetes who completed at least 9 months of the VP Transform for Prediabetes program. Participants were 67.7% (n=741) female, with a mean age of 53.6 (SD 9.75) years. After 12 months, participants decreased their weight by an average of 10.9 lbs (5.5%; P<.001) and increased their physical activity by 91.2 (P<.001) minutes.

Conclusions
These results suggest that VP Transform for Prediabetes is effective at preventing type 2 diabetes through a significant reduction in body weight and increase of physical activity. Furthermore, these results suggest that the DPP remains effective 12 months after beginning the program. A prospective randomized controlled clinical study is warranted to validate these findings.
Perceived Impact of Outdoor Swimming on Health: Web-Based Survey
Authors: Massey Heather , Gorczynski Paul , Harper C Mark , Sansom Lisa , McEwan Kieren , Yankouskaya Alla , Denton Hannah 
Published: November 2021

Background
Outdoor swimming in lakes, lidos (outdoor pools), rivers, and the sea has grown in popularity in many countries, including the United Kingdom. Many anecdotal accounts indicate improvements in medical conditions, which are considered a consequence of outdoor swimming.

Objective
The aim of this study is to better understand outdoor swimmers’ perceptions of their health and the extent to which participation impacted their existing self-reported symptoms.

Methods
A survey was conducted to investigate outdoor swimming behaviors and reports of any diagnosed medical conditions. Medical conditions were coded into categories, and descriptive statistics were generated regarding the outdoor swimmers’ behaviors and the effect that outdoor swimming had on their medical symptoms if any. The medical categories were clustered into five larger categories based on their prevalence in the current sample: mental health; musculoskeletal and injury; neurological; cardiovascular and blood disease; and other, which comprises inflammatory, immune, endocrine, and respiratory conditions.

Results
In total, 722 outdoor swimmers responded, of whom 498 (68.9%) were female. The probability of outdoor swimming having some positive impact on health across all medical categories was 3.57 times higher compared with no impact (B=1.28, 95% CI 0.63-1.91; P<.001), 44.32 times higher for the mental health category (B=3.79, 95% CI 2.28-5.30; P<.001), 5.25 times higher for musculoskeletal and injury category (B=1.66, 95% CI 0.52-2.79; P=.004), and 4.02 times higher for the other category (B=1.39, 95% CI 0.27-2.51; P=.02). Overall, outdoor swimming was associated with perceived reductions in symptoms of poor mental health (χ22=25.1; P<.001), musculoskeletal and injury (χ22=8.2; P=.04), cardiovascular and blood (χ22=14.7; P=.006), and other conditions (χ22=18.2; P<.001).

Conclusions
Physical activity in the form of outdoor swimming is perceived to have positive impacts on health and is associated with perceived symptom reductions in mental health, musculoskeletal and injury, and cardiovascular and blood conditions. This study cannot provide causal relationships or provide mechanistic insights. However, it does provide a starting point for more targeted prospective intervention research into individual conditions or categories of conditions to establish the impact in those who choose to start outdoor swimming.
The Contact Dermatitis Quality of Life Index (CDQL): Survey Development and Content Validity Assessment
Authors: Hill Mary K , Laughter Melissa R , Harmange Cecile I , Dellavalle Robert P , Rundle Chandler W , Dunnick Cory A 
Published: November 2021

Background
There is limited measurement and reporting of quality of life (QoL) outcomes for patients with contact dermatitis (CD).

Objective
The purpose of this study is to develop a standardized Contact Dermatitis Quality of Life index (CDQL) for adult patients.

Methods
A list of 81 topics was compiled from a review of QoL measures used previously in CD research. A total of 2 rounds of web-based Delphi surveys were sent to physicians who registered to attend the 2018 American Contact Dermatitis Society meeting, asking that they rank the relevance of topics for measuring QoL in CD using a 4-point scale. Items met consensus for inclusion if at least 78% of respondents ranked them as relevant or very relevant, and their median score was ≥3.25.

Results
Of the 210 physicians contacted, 34 physicians completed the initial survey and 17 completed the follow-up survey. A total of 22 topics met consensus for inclusion in the CDQL, addressing symptoms, emotions, functions of daily living, social and physical functions, work/school functions, and treatment.

Conclusions
This study was limited by the following factors: few open-ended questions in the initial survey, a lack of direct patient feedback, and long survey length, which likely contributed to lower survey participation. The CDQL is a comprehensive, CD-specific QoL measure developed on the basis of expert consensus via a modified Delphi process to be used by physicians and other health care professionals who care for adult patients with contact dermatitis.
How Clinicians Perceive Artificial Intelligence–Assisted Technologies in Diagnostic Decision Making: Mixed Methods Approach
Authors: Hah Hyeyoung , Goldin Deana Shevit 
Published: November 2021

BackgroundWith the rapid development of artificial intelligence (AI) and related technologies, AI algorithms are being embedded into various health information technologies that assist clinicians in clinical decision making.ObjectiveThis study aimed to explore how clinicians perceive AI assistance in diagnostic decision making and suggest the paths forward for AI-human teaming for clinical decision making in health care.MethodsThis study used a mixed methods approach, utilizing hierarchical linear modeling and sentiment analysis through natural language understanding techniques.ResultsA total of 114 clinicians participated in online simulation surveys in 2020 and 2021. These clinicians studied family medicine and used AI algorithms to aid in patient diagnosis. Their overall sentiment toward AI-assisted diagnosis was positive and comparable with diagnoses made without the assistance of AI. However, AI-guided decision making was not congruent with the way clinicians typically made decisions in diagnosing illnesses. In a quantitative survey, clinicians reported perceiving current AI assistance as not likely to enhance diagnostic capability and negatively influenced their overall performance (β=–0.421, P=.02). Instead, clinicians’ diagnostic capabilities tended to be associated with well-known parameters, such as education, age, and daily habit of technology use on social media platforms.ConclusionsThis study elucidated clinicians’ current perceptions and sentiments toward AI-enabled diagnosis. Although the sentiment was positive, the current form of AI assistance may not be linked with efficient decision making, as AI algorithms are not well aligned with subjective human reasoning in clinical diagnosis. Developers and policy makers in health could gather behavioral data from clinicians in various disciplines to help align AI algorithms with the unique subjective patterns of reasoning that humans employ in clinical diagnosis.
A Two-Minute Walking Test With a Smartphone App for Persons With Multiple Sclerosis: Validation Study (Preprint)
Authors: van Oirschot Pim , Heerings Marco , Wendrich Karine , den Teuling Bram , Dorssers Frank , van Ee René , Martens Marijn Bart , Jongen Peter Joseph 
Published: November 2021

BACKGROUND

Walking disturbances are a common dysfunction in persons with multiple sclerosis (MS). The 2-Minute Walking Test (2MWT) is widely used to quantify walking speed. We implemented a smartphone-based 2MWT (s2MWT) in MS sherpa, an app for persons with MS. When performing the s2MWT, users of the app are instructed to walk as fast as safely possible for 2 minutes in the open air, while the app records their movement and calculates the distance walked.

OBJECTIVE

The aim of this study is to investigate the concurrent validity and test-retest reliability of the MS sherpa s2MWT.

METHODS

We performed a validation study on 25 persons with relapsing-remitting MS and 79 healthy control (HC) participants. In the HC group, 21 participants were matched to the persons with MS based on age, gender, and education and these followed the same assessment schedule as the persons with MS (the <i>HC-matched</i> group), whereas 58 participants had a less intense assessment schedule to determine reference values (the <i>HC-normative</i> group). Intraclass correlation coefficients (ICCs) were determined between the distance measured by the s2MWT and the distance measured using distance markers on the pavement during these s2MWT assessments. ICCs were also determined for test-retest reliability and derived from 10 smartphone tests per study participant, with 3 days in between each test. We interviewed 7 study participants with MS regarding their experiences with the s2MWT.

RESULTS

In total, 755 s2MWTs were completed. The adherence rate for the persons with MS and the participants in the HC-matched group was 92.4% (425/460). The calculated distance walked on the s2MWT was, on average, 8.43 m or 5% (SD 18.9 m or 11%) higher than the distance measured using distance markers (n=43). An ICC of 0.817 was found for the concurrent validity of the s2MWT in the combined analysis of persons with MS and HC participants. Average ICCs of 9 test-retest reliability analyses of the s2MWT for persons with MS and the participants in the HC-matched group were 0.648 (SD 0.150) and 0.600 (SD 0.090), respectively, whereas the average ICC of 2 test-retest reliability analyses of the s2MWT for the participants in the HC-normative group was 0.700 (SD 0.029). The interviewed study participants found the s2MWT easy to perform, but they also expressed that the test results can be confronting and that a pressure to reach a certain distance can be experienced.

CONCLUSIONS

The high correlation between s2MWT distance and the conventional 2MWT distance indicates a good concurrent validity. Similarly, high correlations underpin a good test-retest reliability of the s2MWT. We conclude that the s2MWT can be used to measure the distance that the persons with MS walk in 2 minutes outdoors near their home, from which both clinical studies and clinical practice can benefit.