bluuebunny/crossref_metadata_2025_split huggingface dataset:
Gait video-based prediction of unified Parkinson’s disease rating scale score: a retrospective study
Authors: Eguchi Katsuki , Takigawa Ichigaku , Shirai Shinichi , Takahashi-Iwata Ikuko , Matsushima Masaaki , Kano Takahiro , Yaguchi Hiroaki , Yabe Ichiro 
Published: October 2023

AbstractBackgroundThe diagnosis of Parkinson’s disease (PD) and evaluation of its symptoms require in-person clinical examination. Remote evaluation of PD symptoms is desirable, especially during a pandemic such as the coronavirus disease 2019 pandemic. One potential method to remotely evaluate PD motor impairments is video-based analysis. In this study, we aimed to assess the feasibility of predicting the Unified Parkinson’s Disease Rating Scale (UPDRS) score from gait videos using a convolutional neural network (CNN) model.MethodsWe retrospectively obtained 737 consecutive gait videos of 74 patients with PD and their corresponding neurologist-rated UPDRS scores. We utilized a CNN model for predicting the total UPDRS part III score and four subscores of axial symptoms (items 27, 28, 29, and 30), bradykinesia (items 23, 24, 25, 26, and 31), rigidity (item 22) and tremor (items 20 and 21). We trained the model on 80% of the gait videos and used 10% of the videos as a validation dataset. We evaluated the predictive performance of the trained model by comparing the model-predicted score with the neurologist-rated score for the remaining 10% of videos (test dataset). We calculated the coefficient of determination (R2) between those scores to evaluate the model’s goodness of fit.ResultsIn the test dataset, theR2values between the model-predicted and neurologist-rated values for the total UPDRS part III score and subscores of axial symptoms, bradykinesia, rigidity, and tremor were 0.59, 0.77, 0.56, 0.46, and 0.0, respectively. The performance was relatively low for videos from patients with severe symptoms.ConclusionsDespite the low predictive performance of the model for the total UPDRS part III score, it demonstrated relatively high performance in predicting subscores of axial symptoms. The model approximately predicted the total UPDRS part III scores of patients with moderate symptoms, but the performance was low for patients with severe symptoms owing to limited data. A larger dataset is needed to improve the model’s performance in clinical settings.
Machine learning applied to fMRI patterns of brain activation in response to mutilation pictures predicts PTSD symptoms
Authors: Portugal Liana Catarina Lima , Ramos Taiane Coelho , Fernandes Orlando , Bastos Aline Furtado , Campos Bruna , Mendlowicz Mauro Vitor , da Luz Mariana , Portella Carla , Berger William , Volchan Eliane , David Isabel Antunes , Erthal Fátima , Pereira Mirtes Garcia , de Oliveira Leticia 
Published: October 2023

Abstract
Background
The present study aimed to apply multivariate pattern recognition methods to predict posttraumatic stress symptoms from whole-brain activation patterns during two contexts where the aversiveness of unpleasant pictures was manipulated by the presence or absence of safety cues.

Methods
Trauma-exposed participants were presented with neutral and mutilation pictures during functional magnetic resonance imaging (fMRI) collection. Before the presentation of pictures, a text informed the subjects that the pictures were fictitious (“safe context”) or real-life scenes (“real context”). We trained machine learning regression models (Gaussian process regression (GPR)) to predict PTSD symptoms in real and safe contexts.

Results
The GPR model could predict PTSD symptoms from brain responses to mutilation pictures in the real context but not in the safe context. The brain regions with the highest contribution to the model were the occipito-parietal regions, including the superior parietal gyrus, inferior parietal gyrus, and supramarginal gyrus. Additional analysis showed that GPR regression models accurately predicted clusters of PTSD symptoms, nominal intrusion, avoidance, and alterations in cognition. As expected, we obtained very similar results as those obtained in a model predicting PTSD total symptoms.

Conclusion
This study is the first to show that machine learning applied to fMRI data collected in an aversive context can predict not only PTSD total symptoms but also clusters of PTSD symptoms in a more aversive context. Furthermore, this approach was able to identify potential biomarkers for PTSD, especially in occipitoparietal regions.
Use of home and community-based services and loneliness in older people with functional limitations: a cross-sectional study
Authors: Zhang Jinxin , Sun Xiaojie , Yao Aaron 
Published: October 2023

AbstractBackgroundLoneliness is one of the major health problems among older adults. Among this population, home and community-based services (HCBS) have become increasingly popular. Despite its health benefits, little is known about the relationship between HCBS use and loneliness in older people with functional limitations. We aim to explore the characteristics of loneliness among older people with functional limitations and examine the association between HCBS use and loneliness in China.MethodsWe used a cross-sectional data from the 2018 China Health and Retirement Longitudinal Study, which includes a nationally representative sample of Chinese residents aged 65 and older with functional limitations. Logistic regression models were used to examine the associations between HCBS use and loneliness, and we further used propensity score matching to address potential sample selection bias.ResultIn China, 46% of older people with functional limitations felt lonely and only 22% of older people with functional limitations reported using HCBS in 2018. Compared with participants who did not receive HCBS, those who received HCBS were less likely to report loneliness (OR = 0.81, 95% CI = 0.63, 0.99,p = 0.048), and the results remained significant after addressing sample selection bias using propensity score matching.ConclusionOur results showed that loneliness was common among Chinese older people with functional limitations, and the proportion of HCBS use was low. There was robust evidence to support that among older people with functional limitations, HCBS use was associated with decreased loneliness. Further policies should promote the development of broader HCBS use for older people with functional limitations to reduce their loneliness.
Facilitators and barriers to engaging communities in health service research on dengue control in Indo-Pacific region: a systematic review
Authors: Naing Cho , Htet Norah Htet , Tung Wong Siew , Aung Htar Htar , Whittaker Maxine A. 
Published: October 2023

Abstract
Background
Dengue is a public health problem in the Indo-Pacific countries. There are concerns over the facilitators and barriers to community engagement in health service research aimed at dengue control. The objective of his study was to identify and synthesize facilitators and barriers to community engagement in health service research aimed at dengue control.

Methodology
The Preferred Reporting Items for Systematic Review and Meta-analysis (PRISMA) checklist was used to perform this review. Health-related databases including PubMed, Ovid, and Google Scholar were searched for relevant studies. A consolidated framework with five domains was developed after undertaking a six-phase reflective thematic assessment of the data.

Results
Thirteen studies were identified, spanning eight low-and middle-income countries of the Indo-Pacific region including Cambodia, India, Indonesia, Myanmar, Philippines, Sri Lanka, Thailand, and Vietnam. The studies in this review covered the period from 2002 to 2021. A broad range of study designs and objectives were revealed across these 13 studies. An array of communities such as the local government, project-related health staff, local health services staff, community leaders, local communities/residences/general public, heads of households, community health volunteers, school teachers, and schoolchildren participated in these dengue related studies. The five Consolidated Framework for Implementation Research (CFIR) domains of ‘intervention characteristics’, ‘inner setting’, ‘outer setting’,’ individual characteristics’, and ‘program implementations’ were used to identify and describe barriers and facilitators.

Conclusions
The findings indicate a range of barriers and facilitators to community engagement in dengue control in the selected LMIC in the Indo-Pacific countries. Future health services research on dengue control approaches should be carefully planned, methodologically constructed, aligned with community engagement principles, and involve considerable community participation at all stages of the research.
Assessing the barriers and facilitators of climate action planning in local governments: a two-round survey of expert opinion
Authors: Dodd Steven , Butterfield Scott , Davies Jessica , Furbo Mette Kragh , Morris Abigail , Brown Heather 
Published: October 2023

Abstract
Background
Climate change is one of the greatest threats to public health in this century. The UK is one of six countries that has enshrined in law a commitment to become net zero by 2050. However, there is a lack of guidance and structure for local government in the UK, which has responsibility for public health, to reach this goal and help their communities mitigate and adapt to the health and health inequality impacts of climate change. This study aimed to identify common barriers and facilitators related to addressing the health and health inequality impacts of climate change in local governments.

Methods
Using Normalisation Process Theory, we developed a two-round survey for people working in local authorities to identify the barriers and facilitators to including the health and health inequality impact of climate change in their climate action plans. The survey was delivered online via Qualtrics software. In the first-round respondents were able to express their views on barriers and facilitators and in the second round they ranked common themes identified from the first round. Two hundred and fifty people working in local government were invited to take part and n = 28 (11.2%) completed the first round of the survey and n = 14 completed the second round. Thematic analysis was used in Round 1 to identify common themes and weighted rankings were used to assess key barriers and facilitators in Round 2.

Results
Key facilitators were the need to save money on energy, and successful partnership working already in place including across local government, with local communities and external stakeholders. Key barriers were insufficient staff, resources and lack of support from management/leaders, and lack of local evidence.

Conclusion
To mitigate and adapt to the health impacts of climate change, local government must nurture a culture of innovation and collaboration to ensure that different departments work together This means not just working with external partners, but also collaborating and co-producing with communities to achieve health equity and mitigate the debilitating effect of climate change on public health.
Smartphone-based application to control and prevent overweight and obesity in children: design and evaluation
Authors: Zare Zahra , Hajizadeh Elmira , Mahmoodi Maryam , Nazari Reza , Shahmoradi Leila , Rezayi Sorayya 
Published: October 2023

Abstract
Background
Obesity is a multifaceted condition that impacts individuals across various age, racial, and socioeconomic demographics, hence rendering them susceptible to a range of health complications and an increased risk of premature mortality. The frequency of obesity among adolescent females in Iran has exhibited an increase from 6 to 9%, while among boys, it has risen from 2 to 7%. Due to the increasing prevalence and advancements in technology, the primary objective of this study was to develop and evaluate a smartphone-based app that would serve as an educational tool for parents about the matter of childhood overweight and obesity. Additionally, the app aimed to enhance parents’ capacity to effectively address and manage their children’s weight-related concerns.

Methods
The design of the present study is of an applied-developmental type. In the first phase, the content of related smartphone-based app was determined based on the needs identified in similar studies and the findings of a researcher-made questionnaire. The versions of the app were designed in the android studio 3 programming environment, using the Java 8 programming language and SQLite database. Then, in order to evaluate the app’s usability, ease of access, and different features, the standard usability evaluation questionnaire and the user satisfaction questionnaire (QUIS) were completed by the users.

Results
The developed app has five main sections: the main page, recommendation section (with eight parts), charts over the time, child psychology, and reminders for each user. The designed app was given to 20 people including nutritionists and parents with children under 18 years of age for conducting usability evaluation. According to the scores of participants about the usability evaluation of the app, it can be concluded that groups participating in the study could use the program, and they rated the app at a “good” level. Overall performance of the app, screen capabilities, terms and information of the program, learnability, and general features are scored higher than 7.5 out of 9.

Conclusion
By using this app, people can become familiar with the causes and symptoms of weight imbalance and manage their weight as best as possible. This app can be considered as a model for designing and creating similar broader systems and programs for the prevention, management, treatment and care of diseases, which aim to help control diseases as much as possible and increase the quality of life and reduce complications for be patients.
Research on the doctors’ win in crowdsourcing competitions: perspectives on service content and competitive environment
Authors: Zhou Xiuxiu , Guo Shanshan , Wu Hong 
Published: October 2023

AbstractMedical crowdsourcing competitions can help patients get more efficient and comprehensive treatment advice than “one-to-one” service, and doctors should be encouraged to actively participate. In the crowdsourcing competitions, winning the crowdsourcing competition is the driving force for doctors to continue to participate in the service. Therefore, how to improve the winning probability needs to be revealed. From the service content and competitive environment perspectives, this study introduces doctor competence indicators to investigate the key influence factors of doctors’ wins on the online platform. The results show that the emotional interaction in doctors’ service content positively influences doctors’ wins. However, the influence of information interaction presents heterogeneity. Conclusive information helps doctors win, while suggestive information negatively affects them. For the competitive environment, the competitive environment negatively moderates the relationship between doctors’ service content and doctors’ wins. The results of this study provide important contributions to the research on crowdsourcing competitions and online healthcare services and guide the participants of the competition, including patients, doctors, and platforms.
Critical care capacity and care bundles on medical wards in Malawi: a cross-sectional study
Authors: Connolly Emilia , Kasomekera Noel , Sonenthal Paul D. , Nyirenda Mulinda , Marsh Regan H. , Wroe Emily B. , Scott Kirstin W. , Bukhman Alice , Minyaliwa Tadala , Katete Martha , Banda Grace , Mukherjee Joia , Rouhani Shada A. 
Published: October 2023

Abstract
Introduction
As low-income countries (LICs) shoulder a disproportionate share of the world’s burden of critical illnesses, they must continue to build critical care capacity outside conventional intensive care units (ICUs) to address mortality and morbidity, including on general medical wards. A lack of data on the ability to treat critical illness, especially in non-ICU settings in LICs, hinders efforts to improve outcomes.

Methods
This was a secondary analysis of the cross-sectional Malawi Emergency and Critical Care (MECC) survey, administered from January to February 2020, to a random sample of nine public sector district hospitals and all four central hospitals in Malawi. This analysis describes inputs, systems, and barriers to care in district hospitals compared to central hospital medical wards, including if any medical wards fit the World Federation of Intensive and Critical Care Medicine (WFSICCM) definition of a level 1 ICU. We grouped items into essential care bundles for service readiness compared using Fisher’s exact test.

Results
From the 13 hospitals, we analysed data from 39 medical ward staff members through staffing, infrastructure, equipment, and systems domains. No medical wards met the WFSICCM definition of level 1 ICU. The most common barriers in district hospital medical wards compared to central hospital wards were stock-outs (29%, Cl: 21% to 44% vs 6%, Cl: 0% to 13%) and personnel shortages (40%, Cl: 24% to 67% vs 29%, Cl: 16% to 52%) but central hospital wards reported a higher proportion of training barriers (68%, Cl: 52% to 73% vs 45%, Cl: 29% to 60%). No differences were statistically significant.

Conclusion
Despite current gaps in resources to consistently care for critically ill patients in medical wards, this study shows that with modest inputs, the provision of simple life-saving critical care is within reach. Required inputs for care provision can be informed from this study.
Hsa_circRNA_102051 regulates colorectal cancer proliferation and metastasis by mediating Notch pathway
Authors: Chen Zhongsheng , Cheng Haiyu , Zhang Jiandong , Jiang Dongbing , Chen Gang , Yan Shunkang , Chen Wen , Zhan Wei 
Published: October 2023

Abstract
Background
The purpose of this study was to investigate the role of hsa_circRNA_102051 in colorectal cancer (CRC) and its effect on the stemness of tumor cells.

Methods
CircRNA microarray was under analysis to screen differentially expressed novel circRNAs in the pathology of CRC. Quantitative real-time PCR was used to detect the relative RNA expression in CRC cells and samples. The effects of hsa_circRNA_102051 on biological functions in CRC cells were accessed both in vitro and in vivo. FISH, RIP and luciferase reporter assay were conducted to confirm the regulatory correlations between hsa_circRNA_102051 and miR-203a, as well as miR-203a and BPTF. Xenograft models were applied to further verify the impacts and fluctuations of hsa_circRNA_102051/miR-203a/BPTF. Moreover, the mechanism how hsa_circRNA_102051 affected the Notch signals was also elucidated.

Results
Hsa_circRNA_102051 was up-regulated in CRC tissues and cell lines, capable to promote the growth and invasion of CRC. In addition, hsa_circRNA_102051 could enhance stemness of CRC cells. BPTF was identified as downstream factors of hsa_circRNA_102051, and miR-203a was determined directly targeting both hsa_circRNA_102051 and BPTF as an intermediate regulator. Hsa_circRNA_102051 in CRC could block miR-203a expression, and subsequently activated BPTF. Hsa_circRNA_102051/miR-203a/BPTF axis modulated stemness of CRC cells by affecting Notch pathway.

Conclusions
Our findings provided new clues that hsa_circRNA_102051 might be a potential predictive or prognostic factor in CRC, which induced the fluctuation of downstream miR-203a/BPTF, and subsequently influenced tumor growth, activities and stemness. Thereinto, the Notch signals were also involved. Hence, the hsa_circRNA_102051/miR-203a/BPTF axis could be further explored as a therapeutic target for anti-metastatic therapy in CRC patients.
Are U.S. food and beverage companies now advertising healthy products to children on television? An evaluation of improvements in industry self-regulation, 2017–2021
Authors: Jensen Melissa L. , Fleming-Milici Frances , Harris Jennifer L. 
Published: October 2023

Abstract
Background
Through the Children’s Food and Beverage Advertising Initiative (CFBAI), U.S. food companies pledge to only advertise healthier products in children’s television (TV) programming, but previous research shows that highly advertised products do not qualify as nutritious according to independent nutrition criteria. In 2020, the CFBAI implemented stricter nutrition criteria for products that may be advertised to children, but the potential impact of these changes has not been assessed. This observational study evaluates (1) improvements in energy and individual nutrient composition of products that companies indicated may be advertised to children (i.e., CFBAI-listed products) in 2020 versus 2017, (2) amount of advertising on children’s TV for CFBAI-listed versus other products in 2021, and 3) the nutrition quality of advertised versus non-advertised CFBAI-listed products.

Methods
Data include energy, saturated fat, sodium, and sugar content and overall nutrition quality (Nutrition Profile Index [NPI] scores) of CFBAI-listed products in 2017 (n = 308) and 2020 (n = 245). Nielsen data provided total ad spending and children’s exposure to ads on children’s TV channels for all foods and beverages in 2021.

Results
From 2017 to 2021, energy, saturated fat and sugar declined for CFBAI-listed products in three of six food categories (yogurt, sweet and salty snacks). Although CFBAI-listed products accounted for 79% of food ads viewed by children on children’s TV channels, just 50% of CFBAI-listed food and 36% of drink brands were advertised on children’s TV. Moreover, advertised products were significantly less nutritious than non-advertised CFBAI-listed products.

Conclusion
Despite revised nutrition standards and improvements in nutrient content of some product categories, participating companies continued to primarily advertise nutritionally poor food and beverages on children’s TV. CFBAI companies have not delivered on their promises to advertise healthier products to children.