bluuebunny/crossref_metadata_2025_split huggingface dataset:
The cost of illness and burden of suicide and suicide attempts in France
Authors: Segar Laeticia Blampain , Laidi Charles , Godin Ophélia , Courtet Philippe , Vaiva Guillaume , Leboyer Marion , Durand-Zaleski Isabelle 
Published: March 2024

Abstract
Background
With 11,558 deaths and 200,000 suicide attempts in 2019, France is among the European countries most affected. The aim of this study was to determine the costs and burden of suicides and suicide attempts in France (population 67 million).

Methods
We estimated direct costs, comprising healthcare, as well as post-mortem costs including autopsy, body removal, funeral expenses, police intervention and support groups; indirect costs comprised lost productivity, daily allowances; the burden of disease calculations used a monetary value for death and disability based on incidence data. Data was obtained from the national statistics, health and social care database, registries, global burden of disease, supplemented by expert opinion. We combined top down and bottom up approaches.

Results
The total costs and burden of suicides and suicide attempts was estimated at €18.5 billion and €5.4 billion, respectively. Direct costs were €566 million and €75 million; indirect costs were €3.8 billion and €3.5 billion; monetary value for death and disability was €14.6 billion and €1.3. The monetary value for death and disability represented 79.1% and 24.8% of total costs for suicide and suicide attempt respectively.
Some costs were based upon expert opinion, caregivers’ burden was not counted and pre COVID data only is reported.

Conclusions
In France, the total cost and burden of suicides and suicide attempts was several billion €, suggesting major potential savings from public health interventions.
Ischemic heart disease-related mortality in Brazil, 2006 to 2020. A study of multiple causes of death
Authors: Bastos Luiz A. V. M. , Villela Paolo B. , Bichara Jose L. P. , do Nascimento Emilia M. , Bastos Eduardo L. V. M. , de B Pereira Basilio , Oliveira Glaucia M. M. 
Published: March 2024

Abstract
Context
Both the aging of the population and the increase in noncommunicable diseases may influence the progression and outcomes culminating in death, changing the evolution of ischemic heart diseases (IHDs) and their associated causes. Using the multiple causes of death method could help understand the magnitude of these relationships and enable better targeting of investments in health.

Objectives
To evaluate the mortality from IHD in Brazil between 2006 and 2020 using the method of multiple causes and identify differences in the distribution pattern of IHD mortality by sex and geographic region.

Methods
Based on information extracted from death certificates (DCs) obtained from the database of the Department of Informatics of the Unified Health System (DATASUS), we used the multiple causes method to analyze the causes of death associated with IHD when IHD was defined as the underlying cause of death (UC) and the causes of death listed as the UC when IHD was recorded in any other lines of the DC, from 2006 to 2020, in Brazil. Subsequently, the proportion of these causes of death and differences between sexes and geographic regions were evaluated, with statistical relevance analyzed using the chi-square test, and the dependence between factors illustrated using stacked bar charts and small-world network graphs.

Results
When IHD was listed as the UC of death, the most frequent associated causes of death were, in descending order of frequency, acute myocardial infarction (AMI), arterial hypertension (AH), chronic ischemic heart disease (CHID), heart failure (HF), and diabetes mellitus (DM). When IHD was mentioned in any line of the DC, the most frequent UCs of death were AMI followed by DM, CIHD, chronic obstructive pulmonary disease (COPD), stroke, dyslipidemia, and, in the year 2020, COVID-19. The most frequent cause of death in women were DM as the UC and associated cause of death, AH as the UC, and CIHD and Alzheimer's disease as associated causes of death, while the most frequent causes of death in men were substance dependence as the UC and associated cause of death, and cancer as an associated cause of death. The most frequent causes of death were DM and stroke in the North and Northeast, dyslipidemia and obesity in the Midwest, Alzheimer's disease in the South and Southeast, and atherosclerotic heart disease (AHD) and COPD in the South.

Conclusions
Several diseases – including AMI, AH, CIHD, HF, and DM – were the most frequent associated causes of death when IHD was recorded as the UC. In contrast, AMI, DM, CIHD, COPD, and stroke were the most frequent UCs when IHD was listed as an associated cause of death. The degree of these associations varied between sexes and geographic regions.
Marginalisation and distrust in the context of the COVID-19 vaccination programme: experiences of communities in a northern UK city region
Authors: Gillibrand Stephanie , Kapadia Dharmi , Watkinson Ruth , Issa Basma , Kwaku-Odoi Charles , Sanders Caroline 
Published: March 2024

AbstractBackgroundThere are clear inequalities in COVID − 19 vaccination rates amongst marginalised groups, with lower rates for some minoritised ethnic and religious groups, younger people, those living in more deprived areas, and with lower socio-economic status. Existing research focuses on psychological and socio-economic factors that influence vaccine uptake and does not explore broader social and historical contexts. Understanding inequalities in COVID-19 vaccine uptake requires a critical examination of the drivers of, and barriers to, vaccination.MethodsWe present findings from a co-designed qualitative research study undertaken during the COVID-19 pandemic. Focus groups and interviews were used to examine the context underpinning responses to the COVID-19 vaccination in Greater Manchester, particularly focussing on experiences of marginalisation. Thematic framework analysis was used to analyse the data.ResultsWe found that the public’s responses to the COVID-19 vaccination programme are intertwined with a longstanding history of institutional distrust and disenfranchisement, resulting from experiences of marginalisation and social inequalities. This was exacerbated further by the disproportionate impacts of the COVID-19 pandemic on minoritised ethnic groups, younger people, and those with existing health conditions.ConclusionsHistories of structural inequalities experienced by minoritised groups invoked feelings of suspicion and scepticism at the motivations of the agencies behind the vaccination rollout. This highlights the need for a contextualised analysis of attitudes to vaccines, considering pre-existing inequalities, which may be especially relevant for conceptualising public responses to the vaccination programme. Finally, our study shows the important ways in which public (dis)trust can impact public health policies. We recommend this should be incorporated into responses to future public health crises.
Relationship between loneliness and internet addiction: a meta-analysis
Authors: Wang Yue , Zeng Youlai 
Published: March 2024

AbstractBackgroundIn the digital age, the Internet has become integrated into all aspects of people’s work, study, entertainment, and other activities, leading to a dramatic increase in the frequency of Internet use. However, excessive Internet use has negative effects on the body, psychology, and many other aspects. This study aims to systematically analyze the research findings on the relationship between loneliness and Internet addiction to obtain a more objective, comprehensive effect size.MethodsThis study employed a comprehensive meta-analysis of empirical research conducted over the past two decades to investigate the relationship between loneliness and Internet addiction, with a focus on the moderating variables influencing this relationship. This meta-analysis adopted a unique approach by categorizing moderating variables into two distinct groups: the objective characteristics of research subjects and the subjective characteristics of researchers. It sheds light on the multifaceted factors that influence the relationship between loneliness and Internet addiction.ResultsA literature search in web of science yielded 32 independent effect sizes involving 35,623 subjects. Heterogeneity testing indicated that a random effects model was appropriate. A funnel plot and Begg and Mazumdar’s rank correlation test revealed no publication bias in this meta-analysis. Following the effect size test, it was evident that loneliness was significantly and positively correlated with Internet addiction (r = 0.291,p < 0.001). The moderating effect analysis showed that objective characteristics significantly affected the relationship. However, subjective characteristics did not affect the relationship.ConclusionsThe study revealed a moderately positive correlation between loneliness and Internet addiction. Moreover, this correlation’s strength was found to be influenced by various factors, including gender, age, grade, and the region of the subjects. However, it was not affected by variables such as the measurement tool, research design, or research year (whether before or after COVID-19).
Incidence and sequence of scoliosis and windswept hip deformity: which comes first in 4148 children with cerebral palsy? A longitudinal cohort study
Authors: Casey Jackie , Rosenblad Andreas , Agustsson Atli , Lauge-Pedersen Henrik , Rodby-Bousquet Elisabet 
Published: March 2024

Abstract
Background
The aim was to analyse whether scoliosis or windswept hip deformity (WSH) occurs first for children with cerebral palsy (CP).

Methods
This longitudinal cohort study using data from 1994 − 2020 (26 years) involved 41,600 measurements of 4148 children (2419 [58.3%] boys) with CP born 1990 − 2018 and registered into the Swedish CP follow-up program. Children were followed from a mean age of 2.8 [SD 1.4] years, until they developed either scoliosis or WSH or were removed at surgery.

Results
WSH developed first in 16.6% of the children (mean age 8.1 [SD 5.0] years), and scoliosis in 8.1% (mean age 8.1 [SD 4.9] years). The incidence of WSH was higher than scoliosis across all levels I–V of the Gross Motor Function Classification System (GMFCS), both sexes, and for those with dyskinetic (20.0%) or spastic (17.0%) CP. The incidence of scoliosis was highest (19.8%) and developed earliest in children with GMFCS level V (mean age 5.5 [SD 3.5] years), and in children with dyskinetic (17.9%) CP (mean age 7.0 [SD 4.7] years).

Conclusions
WSH presents earlier than scoliosis in most children with CP. Children with higher GMFCS level or dyskinetic CP are more likely to develop these deformities at a younger age.
Coping with breast cancer during medical and occupational rehabilitation: a qualitative study of strategies and contextual factors
Authors: Heidkamp Paula , Hiltrop Kati , Breidenbach Clara , Kowalski Christoph , Pfaff Holger , Geiser Franziska , Ernstmann Nicole 
Published: March 2024

Abstract
Purpose
This study aimed to gain a deeper understanding of the coping processes of breast cancer survivors (BCSs) during medical and occupational rehabilitation after acute treatment.

Methods
This study is part of the mixed-methods Breast Cancer Patients’ Return to Work study conducted in Germany. Data were collected through semistructured interviews with 26 female BCSs 5–6 years after their diagnosis. A qualitative content analysis was conducted to investigate the coping strategies and contextual factors of coping of BCSs.

Results
The participants used different strategies for coping with their breast cancer, namely, approach- versus avoidance-oriented coping and emotion- versus problem-focused coping. During the medical rehabilitation process, coping behavior was used mainly to address disease management and its consequences. During the occupational rehabilitation process, most coping strategies were used to overcome discrepancies between the patient’s current work capacity and the job requirements. The contextual factors of coping were in the health, healthcare, work-related, and personal domains.

Conclusion
The study findings provide in-depth insights into the coping processes for BCSs during the rehabilitation phase and highlight the importance of survivorship care after acute cancer treatment.

Implications for Cancer survivors
The results indicate that BCSs employ approach- and avoidance-oriented strategies to cope with their cancer during rehabilitation. As both attempts are helpful in the short term to cope with physical and emotional consequences of the cancer, healthcare and psychosocial personnel should respect the coping strategies of BCSs while also being aware of the potential long-term negative impact of avoidance-oriented coping on the rehabilitation process.
The economic burden of obesity in 4 south-eastern European countries associated with obesity-related co-morbidities
Authors: Athanasakis Kostas , Bala Cornelia , Kokkinos Alexander , Simonyi Gabor , Karoliová Klaudia Hálová , Basse Amaury , Bogdanovic Miodrag , Kang Malvin , Low Kaywei , Gras Adrien 
Published: March 2024

Abstract
Objective
To provide an assessment of the cost burden of obesity across a spectrum of obesity-related comorbidities (ORCs) for four countries in South-Eastern Europe (SEE).

Methods
A micro-costing analysis from the public payer perspective was conducted to estimate direct healthcare costs associated with ten obesity-related comorbidities (ORCs) in Czech Republic, Greece, Hungary, and Romania. A survey was administered to obtain healthcare resource use and unit cost data. Cost estimates were validated by local steering committees which comprised at least one public sector clinician and a panel of independent industry experts.

Results
Chronic kidney disease and cardiovascular diseases were the costliest ORCs across all 4 countries, where annual cost burden per ORC exceeded 1,500 USD per patient per year. In general, costs were driven by the tertiary care resources allocated to address treatment-related adverse events, disease complications, and associated inpatient procedures.

Conclusions
Our findings confirm that the high prevalence of obesity and its comorbidities result in substantial financial burden to all 4 SEE public payers. By quantifying the burden of obesity from a public healthcare perspective, our study aims to support policy efforts that promote health education and promotion in combating obesity in the region.
The role of sialidase Neu1 in respiratory diseases
Authors: Mei Shiran , Li Dingding , Wang Aoyi , Zhu Guoxue , Zhou Bingwen , Li Nian , Qin Yi , Zhang Yanliang , Jiang Shujun 
Published: March 2024

AbstractNeu1 is a sialidase enzyme that plays a crucial role in the regulation of glycosylation in a variety of cellular processes, including cellular signaling and inflammation. In recent years, numerous evidence has suggested that human NEU1 is also involved in the pathogenesis of various respiratory diseases, including lung infection, chronic obstructive pulmonary disease (COPD), asthma, and pulmonary fibrosis. This review paper aims to provide an overview of the current research on human NEU1 and respiratory diseases.
Urinary cadmium concentration is associated with the severity and clinical outcomes of COVID-19: a bicenter observational cohort study
Authors: Chiu Li-Chung , Lee Chung-Shu , Hsu Ping-Chih , Li Hsin-Hsien , Chan Tien-Ming , Hsiao Ching-Chung , Kuo Scott Chih-Hsi , Ko How-Wen , Lin Shu-Min , Wang Chun-Hua , Lin Horng-Chyuan , Chu Pao-Hsien , Yen Tzung-Hai 
Published: March 2024

Abstract
Background
Cadmium and nickel exposure can cause oxidative stress, induce inflammation, inhibit immune function, and therefore has significant impacts on the pathogenesis and severity of many diseases. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection can also provoke oxidative stress and the dysregulation of inflammatory and immune responses. This study aimed to assess the potential associations of cadmium and nickel exposure with the severity and clinical outcomes of patients with coronavirus disease 2019 (COVID-19).

Methods
We performed a retrospective, observational, bicenter cohort analysis of patients with SARS-CoV-2 infection in Taiwan between June 2022 and July 2023. Cadmium and nickel concentrations in blood and urine were measured within 3 days of the diagnosis of acute SARS-CoV-2 infection, and the severity and clinical outcomes of patients with COVID-19 were analyzed.

Results
A total of 574 patients were analyzed and divided into a severe COVID-19 group (hospitalized patients) (n = 252; 43.9%), and non-severe COVID-19 group (n = 322; 56.1%). The overall in-hospital mortality rate was 11.8% (n = 68). The severe COVID-19 patients were older, had significantly more comorbidities, and significantly higher neutrophil/lymphocyte ratio, C-reactive protein, and interleukin-6 than the non-severe COVID-19 patients (all p < 0.05). Blood and urine cadmium and urine nickel concentrations were significantly higher in the severe COVID-19 patients than in the non-severe COVID-19 patients. Among the severe COVID-19 patients, those in higher urine cadmium/creatinine quartiles had a significantly higher risk of organ failure (i.e., higher APACHE II and SOFA scores), higher neutrophil/lymphocyte ratio, lower PaO2/FiO2 requiring higher invasive mechanical ventilation support, higher risk of acute respiratory distress syndrome, and higher 60-, 90-day, and all-cause hospital mortality (all p < 0.05). Multivariable logistic regression models revealed that urine cadmium/creatinine was independently associated with severe COVID-19 (adjusted OR 1.643 [95% CI 1.060–2.547], p = 0.026), and that a urine cadmium/creatinine value > 2.05 μg/g had the highest predictive value (adjusted OR 5.349, [95% CI 1.118–25.580], p = 0.036).

Conclusions
Urine cadmium concentration in the early course of COVID-19 could predict the severity and clinical outcomes of patients and was independently associated with the risk of severe COVID-19.
Developing liver-targeted naringenin nanoparticles for breast cancer endocrine therapy by promoting estrogen metabolism
Authors: Zhao Yuying , Tan Hanxu , Zhang Juping , Zhan Dandan , Yang Bowen , Hong Shicui , Pan Bo , Wang Neng , Chen Tongkai , Shi Yafei , Wang Zhiyu 
Published: March 2024

AbstractEndocrine therapy is standard for hormone receptor–positive (HR+) breast cancer treatment. However, current strategies targeting estrogen signaling pay little attention to estradiol metabolism in the liver and is usually challenged by treatment failure. In a previous study, we demonstrated that the natural compound naringenin (NAR) inhibited HR+ breast cancer growth by activating estrogen sulfotransferase (EST) expression in the liver. Nevertheless, the poor water solubility, low bio-barrier permeability, and non-specific distribution limited its clinical application, particularly for oral administration. Here, a novel nano endocrine drug NAR-cell penetrating peptide-galactose nanoparticles (NCG) is reported. We demonstrated that NCG presented specific liver targeting and increased intestinal barrier permeability in both cell and zebrafish xenotransplantation models. Furthermore, NCG showed liver targeting and enterohepatic circulation in mouse breast cancer xenografts following oral administration. Notably, the cancer inhibition efficacy of NCG was superior to that of both NAR and the positive control tamoxifen, and was accompanied by increased hepatic EST expression and reduced estradiol levels in the liver, blood, and tumor tissue. Moreover, few side effects were observed after NCG treatment. Our findings reveal NCG as a promising candidate for endocrine therapy and highlight hepatic EST targeting as a novel therapeutic strategy for HR+ breast cancer.
Graphical Abstract
HairNet2: deep learning to quantify cotton leaf hairiness, a complex genetic and environmental trait
Authors: Farazi Moshiur , Conaty Warren C. , Egan Lucy , Thompson Susan P. J. , Wilson Iain W. , Liu Shiming , Stiller Warwick N. , Petersson Lars , Rolland Vivien 
Published: March 2024

AbstractBackgroundCotton accounts for 80% of the global natural fibre production. Its leaf hairiness affects insect resistance, fibre yield, and economic value. However, this phenotype is still qualitatively assessed by visually attributing a Genotype Hairiness Score (GHS) to a leaf/plant, or by using the HairNet deep-learning model which also outputs a GHS. Here, we introduce HairNet2, a quantitative deep-learning model which detects leaf hairs (trichomes) from images and outputs a segmentation mask and a Leaf Trichome Score (LTS).ResultsTrichomes of 1250 images were annotated (AnnCoT) and a combination of six Feature Extractor modules and five Segmentation modules were tested alongside a range of loss functions and data augmentation techniques. HairNet2 was further validated on the dataset used to build HairNet (CotLeaf-1), a similar dataset collected in two subsequent seasons (CotLeaf-2), and a dataset collected on two genetically diverse populations (CotLeaf-X). The main findings of this study are that (1) leaf number, environment and image position did not significantly affect results, (2) although GHS and LTS mostly correlated for individual GHS classes, results at the genotype level revealed a strong LTS heterogeneity within a given GHS class, (3) LTS correlated strongly with expert scoring of individual images.ConclusionsHairNet2 is the first quantitative and scalable deep-learning model able to measure leaf hairiness. Results obtained with HairNet2 concur with the qualitative values used by breeders at both extremes of the scale (GHS 1-2, and 5-5+), but interestingly suggest a reordering of genotypes with intermediate values (GHS 3-4+). Finely ranking mild phenotypes is a difficult task for humans. In addition to providing assistance with this task, HairNet2 opens the door to selecting plants with specific leaf hairiness characteristics which may be associated with other beneficial traits to deliver better varieties.