bluuebunny/crossref_metadata_2025_split huggingface dataset:
Depressive symptoms profile and dementia risk after spontaneous intracerebral haemorrhage
Authors: Scopelliti Giuseppe , Kyheng Maéva , Casolla Barbara , Kuchcinski Grégory , Boulouis Grégoire , Moulin Solène , Labreuche Julien , Hénon Hilde , Pasi Marco , Cordonnier Charlotte 
Published: September 2024

Introduction: Depressive symptoms are commonly reported after spontaneous intracerebral haemorrhage (ICH) and frequently associated with cognitive decline. Using hierarchical clustering analysis (HCA), we aimed to identify different post-ICH depressive symptoms profiles and to evaluate their association with dementia risk. Methods: We included consecutive patients from the prospective Prognosis of Intracerebral Haemorrhage (PITCH) study who survived 6 months after the ICH. We performed HCA using depressive symptoms severity (assessed using the Montgomery–Åsberg Depression Rating Scale (MADRS)), along with the presence of apathy and anxiety (screened using Neuropsychiatric Inventory questionnaire). Baseline clinical/neuroimaging characteristics and risk of incident dementia were compared between different profiles using univariate and multivariable models. Results: Of 265 six-month ICH survivors, 221 (83%) underwent neuropsychiatric screening (mean age 65.5 years; 57% male). Using HCA, 3 profiles were identified: (1) without significant depressive symptoms ( n = 152; median MADRS score = 2 [IQR 0–4]); (2) depressive symptoms with predominant apathy ( n = 41; median MADRS score = 15 [IQR 5–20], 68% with apathy); (3) depressive symptoms profile with predominant anxiety ( n = 28; median MADRS score = 17 [IQR 9–25]; 100% with anxiety). Compared to patients without depressive symptoms, patients with depressive symptoms and predominant apathy (but not those with predominant anxiety) were more likely to have cerebral atrophy (OR = 2.4, 95% CI = 1.4–4.2) and had significantly higher long-term new-onset dementia risk (adjusted hazard ratio = 2.2, 95% CI = 1.3–3.8). Conclusion: Screening for apathy and anxiety on top of depressive symptoms might help identifying patients at risk for dementia. Future studies on treatment should account for different post-ICH depressive symptoms profiles that may impact on cognitive function.
Treatment Journey and Healthcare Resource Use Among Patients With Alcohol Use Disorder Who Initiated Extended-Release Naltrexone: An Analysis of Veterans Affairs Data
Authors: Grebla Regina , Liu Jieruo , O’Sullivan Amy K , Shi Sherry , Swallow Elyse , Lax Angela , Sullivan Maria A , Liu Shuqian , Shi Lizheng , Witkiewitz Katie , Drexler Karen 
Published: September 2024

Background: The US Department of Veterans Affairs, Department of Defense (VA/DoD) clinical guidelines recommend extended-release naltrexone (XR-NTX) as a treatment option for moderate-to-severe alcohol use disorder (AUD); however, contemporary real-world outcomes related to this guideline are lacking. This retrospective, observational, descriptive study examined treatment patterns and healthcare resource use (HCRU) among veterans with an AUD diagnosis who initiated XR-NTX. Methods: Veterans with incident AUD who initiated XR-NTX between 8/2014 and 11/2018 were identified. Treatment patterns and HCRU were assessed during the 1-year baseline period before and following XR-NTX initiation (the index date). Results: Of the 3665 VA patients (mean [SD] age: 46 [12.5] years; male: 89.7%; White: 76.9%) included in the study, time from AUD diagnosis to XR-NTX initiation was highly variable (mean [range]: 13.6 [0-50.5 months]). Patients received a mean [SD] of 6.8 [6.1] XR-NTX administrations; 44.4% received ⩾6. Mean [SD] time to XR-NTX discontinuation was 93.4 [75.7] days, and 31.3% of discontinuing patients resumed XR-NTX therapy. Of those who received other subsequent medications for AUD, 38.6% (acamprosate) to 47.8% (disulfiram) re-initiated XR-NTX. The proportion of patients with ⩾1 inpatient admissions decreased during follow-up compared with baseline (all-cause: 61.5% to 37.8%; AUD-related: 58.0%-35.4%); with a smaller decrease observed in emergency department (ED) visits. In contrast, more patients had ⩾1 outpatient visits during follow-up (all-cause: 97.5%-99.7%; AUD-related: 84.4%-92.7%). Compared with baseline, mean number of inpatient admissions and ED visits decreased during follow-up, while the number of outpatient visits increased for both all-cause and AUD-related care. Conclusions: Among VA patients with AUD who initiated XR-NTX, we observed reductions in all-cause and AUD-related acute care, and increases in outpatient care. This finding demonstrates a possible transition from acute, inpatient treatment to long-term, outpatient care that may reflect a reduction in disease severity. Additional research is warranted.
CT strain metrics allow for earlier diagnosis of bronchiolitis obliterans syndrome after hematopoietic cell transplant
Authors: Sharifi Husham , Bertini Christopher D. , Alkhunaizi Mansour , Hernandez Maria , Musa Zayan , Borges Carlos , Turk Ihsan , Bashoura Lara , Dickey Burton F. , Cheng Guang-Shing , Yanik Gregory , Galban Craig J. , Guo Huawei Henry , Godoy Myrna C. B. , Reinhardt Joseph M. , Hoffman Eric A. , Castro Mario , Rondon Gabriela , Alousi Amin M. , Champlin Richard E. , Shpall Elizabeth J. , Lu Ying , Peterson Samuel , Datta Keshav , Nicolls Mark R. , Hsu Joe , Sheshadri Ajay 
Published: September 2024

Abstract
Bronchiolitis obliterans syndrome (BOS) after hematopoietic cell transplantation (HCT) is associated with substantial morbidity and mortality. Quantitative computed tomography (qCT) can help diagnose advanced BOS meeting National Institutes of Health (NIH) criteria (NIH-BOS) but has not been used to diagnose early, often asymptomatic BOS (early BOS), limiting the potential for early intervention and improved outcomes. Using pulmonary function tests (PFTs) to define NIH-BOS, early BOS, and mixed BOS (NIH-BOS with restrictive lung disease) in patients from 2 large cancer centers, we applied qCT to identify early BOS and distinguish between types of BOS. Patients with transient impairment or healthy lungs were included for comparison. PFTs were done at month 0, 6, and 12. Analysis was performed with association statistics, principal component analysis, conditional inference trees (CITs), and machine learning (ML) classifier models. Our cohort included 84 allogeneic HCT recipients, 66 with BOS (NIH-defined, early, or mixed) and 18 without BOS. All qCT metrics had moderate correlation with forced expiratory volume in 1 second, and each qCT metric differentiated BOS from those without BOS (non-BOS; P &lt; .0001). CITs distinguished 94% of participants with BOS vs non-BOS, 85% of early BOS vs non-BOS, 92% of early BOS vs NIH-BOS. ML models diagnosed BOS with area under the curve (AUC) of 0.84 (95% confidence interval [CI], 0.74-0.94) and early BOS with AUC of 0.84 (95% CI, 0.69-0.97). qCT metrics can identify individuals with early BOS, paving the way for closer monitoring and earlier treatment in this vulnerable population.
Analysis of Hybrid NAR-RBFs Networks for complex non-linear Covid-19 model with fractional operators
Authors: Ahmad Aqeel , Farman Muhammad , Sultan Muhammad , Ahmad Hijaz , Askar Sameh 
Published: September 2024

AbstractThe Hybrid NAR-RBFs Networks for COVID-19 fractional order model is examined in this scientific study. Hybrid NAR-RBFs Networks for COVID-19, that is more infectious which is appearing in numerous areas as people strive to stop the COVID-19 pandemic. It is crucial to figure out how to create strategies that would stop the spread of COVID-19 with a different age groups. We used the epidemic scenario in the Hybrid NAR-RBFs Networks as a case study in order to replicate the propagation of the modified COVID-19. In this research work, existence and stability are verified for COVID-19 as well as proved unique solutions by applying some results of fixed point theory. The developed approach to investigate the impact of Hybrid NAR-RBFs Networks due to COVID-19 at different age groups is relatively advanced. Also obtain solutions for a proposed model by utilizing Atanga Toufik technique and fractal fractional which are the advanced techniques for such type of infectious problems for continuous monitoring of spread of COVID-19 in different age groups. Comparisons has been made to check the efficiency of techniques as well as for finding the reliable solutions to understand the dynamical behavior of Hybrid NAR-RBFs Networks for non-linear COVID-19. Finally, the parameters are evaluated to see the impact of illness and present numerical simulations using Matlab to see actual behavior of this infectious disease for Hybrid NAR-RBFs Networks of COVID-19 for different age groups.
The effect of dwelling size on the mental health and quality of life of female caregivers living in informal tiny homes in Hong Kong
Authors: Chan Crystal Ying , Lai Ruby Yuen Shan , Hoi Becky , Li Maggie Ying Yee , Chan Joyce Ho Yi , Sin Henry Ho Fai , Chung Edwin Shun Kit , Cheung Rowan Tak Yuen , Wong Eliza Lai Yi 
Published: September 2024

Abstract
Background
Although the adverse impact of substandard informal housing has been widely documented, most studies concentrated on developing societies, thereby leaving informal housing in developed regions underexplored. This study examines Hong Kong, where limited dwelling size is a distinctive feature that characterises informal housing, to explore the impact of housing informality on mental health, with a particular focus on dwelling size. It centers on subdivided units (SDUs), which are tiny compartments partitioned from a large domestic quarter, to understand how housing informality and housing size affect the mental well-being of female caregivers, who typically bear the brunt of the housework.

Methods
In partnership with nongovernment organisations in three SDU-abundant districts, this mixed-methods study conducted a survey on 413 female caregivers aged 18—65 and qualitative research combining ethnographic observations and in-depth interviews on 36 families living in SDUs in Hong Kong between 2021 and 2023. The mental health outcomes and health-related quality of life (HRQoL) of the participants were assessed by using the Depression, Anxiety, and Stress Scale-21 and a EuroQol-5 Dimension-5 Level questionnaire.

Results
Depression, anxiety and stress were prevalent across the female caregivers living in SDUs (12.4%), as well as a significantly lower HRQoL compared with that of the general population (0.882 vs. 0.919). Findings showed that a total floor area smaller than 13.0 m2 was associated with increased likelihood of experiencing anxiety and depression and reduced HRQoL. Cramped living space adversely affected the caregivers’ well-being through the 1) physical, 2) relational and 3) personal aspects of home experiences. Negative experiences at home can cause housework burnout, exacerbate family conflicts and lead to feelings of repression and low self-efficacy.

Conclusions
This study contributes to the understanding of the consequences of housing informality in diverse geographical contexts and illuminates the effect of dwelling size by identifying the mechanisms through which housing size can affect the mental well-being of residents, which may vary depending on their family status. The findings yield important policy implications, including the need to establish a minimum space standard for subdivided residential dwellings and ensure equitable access to community spaces for deprived families.
Keep on truckin’: how effective are health behaviour interventions on truck drivers’ health? A systematic review and meta-analysis
Authors: Virgara Rosa , Singh Ben , O’Connor Edward , Szeto Kimberley , Merkx Zydan , Rees Christian , Gilson Nicholas , Maher Carol 
Published: September 2024

Abstract
Background
Truck drivers are a vital workforce, but have higher rates of obesity and other chronic diseases than the general population. The occupation’s sedentary nature, limited physical activity opportunities and access to healthy food, and irregular sleeping patterns contribute to poor health. This systematic review and meta-analysis aimed to evaluate the effectiveness of interventions on health behaviours and cardiometabolic biomarkers of health in truck drivers.

Methods
A systematic search was conducted in February 2024, and reported according to PRISMA 2020 guidelines. Experimental studies targeting physical activity, sedentary behaviour, sleep, diet, weight loss, drug/alcohol use, and/or smoking were eligible. Two reviewers independently screened and completed data extraction and risk of bias assessment. Data were combined at the study level. Pooled statistics were calculated using mean differences (MD) or standardised mean differences (SMD) for outcomes that were reported in ≥2 studies. Pre- and post-intervention means and standard deviations (SD) for the intervention and control groups were used to compute effect sizes.

Results
Nineteen studies (n=2137 participants) were included. Meta-analyses found a small-to-moderate increase in fruit and vegetable consumption (SMD 0.32, p=0.03) with no other significant effects on other outcome variables.

Conclusions
Interventions are moderately effective in increasing truck drivers’ fruit and vegetable consumption, but not other outcomes. There is a dearth of research in the driver population compared to other occupational groups. Future interventions should consider workplace and environmental factors to promote the health and wellbeing of truck drivers.

Trial registration
The study protocol was registered on PROSPERO (CRD42021283423).
Association between socioeconomic position of the household head, food insecurity and psychological health: an application of propensity score matching
Authors: Militao Elias M. A. , Uthman Olalekan A. , Salvador Elsa M. , Vinberg Stig , Macassa Gloria 
Published: September 2024

Abstract
Background
Mental health outcomes can be influenced by various factors, one of which has recently gained attention, namely food security. Food security is paramount to maintaining not only physical, but also mental health. There is an increasing need to understand the interplay between food insecurity (FI) and mental health outcomes, especially among vulnerable populations. The objective of this study was to investigate the effect of FI on psychological health (anxiety and depression) as well as to examine the modifying effect of socioeconomic position on this relationship.

Methods
A cross-sectional study was conducted in Maputo City, Mozambique, in 1,842 participants. Data were collected through structured interviews using a modified version of the US Department of Agriculture Household Food Security Module to measure FI, and the Hospital Anxiety and Depression Scale to measure anxiety and depression. A composite variable for psychological health was created. Propensity score matching and interaction effect analyses were employed to examine the effects of FI on psychological health and the moderating role of socioeconomic position.

Results
Of the 1,174 participants randomly assigned to propensity score matching, 787 were exposed to FI while 387 were unexposed. The analysis revealed stark disparities in psychological health outcomes associated with FI. The risk of poor psychological health among those exposed to FI was 25.79%, which was significantly higher than the 0.26% in unexposed individuals. The risk difference was 25.54% points (95% CI: 22.44–28.63), with a risk ratio of 99.82. Our assessment of population attributable fractions indicated that nearly all the risk for poor psychological health in the exposed group could be ascribed to FI. The interaction effects analysis revealed that socioeconomic status modifies this relationship. Specifically, heads of food-insecure households with a lower socioeconomic position tended to report poor mental health compared to their food-secure counterparts with a higher position.

Conclusions
The findings underscore the profound impact of FI on the mental health of household heads in Maputo City, socioeconomic position being a significant modifier. Addressing household FI along with the socioeconomic position of household heads could be pivotal to mental health promotion, especially among vulnerable populations.
Perspectives of work readiness among Australian health students trained during the COVID-19 pandemic
Authors: Podubinski Tegan , Jessup Belinda , Kirschbaum Melissa , Bailie Jodie , Heaney Susan , Sheepway Lyndal , Bourke Lisa 
Published: September 2024

Abstract
Background
To explore perspectives of work readiness, including readiness to work rurally, among health students trained in Australia during the COVID-19 pandemic.

Methods
Participants were allied health, medicine, and nursing students in the later years of their degree (third, fourth or final year of an undergraduate entry to practice degree, or second year of postgraduate entry to practice degree), where training is clinically immersive. These students had completed a University Department of Rural Health facilitated rural and remote placement between January 2021 and October 2022. They participated in a cross-sectional online survey (n = 426), comprising Likert-scale questions. Interested survey respondents participated in a semi-structured interview (n = 34). Multiple logistic regression was conducted to examine the predictors of work readiness within the survey, and interview data was analysed via reflexive thematic analysis.

Results
Among survey respondents, 69.7% felt they would be ready to be a health practitioner when the time came to graduate and 71.8% felt clinically prepared to work in a rural location. Concerns about having developed enough clinical skills on placements to competently practice on graduation and being able to continue studying their course during the pandemic were both predictive of work readiness and feeling clinically prepared to work rurally. Four themes reflecting factors impacting work readiness were developed from interview data: (1) ‘I’d estimate probably a 20–30% reduction in face-to-face handling practice over the course of all of my placements’ encompassed student concerns regarding the collective impact of cancelled placements and lower patient attendance at healthcare facilities on clinical skill development; (2) ‘Two and a half years of sitting behind a computer’ related to student experiences of superficial learning and cohort disconnectedness due to online course delivery and loss of on campus simulations; (3) ‘I’ll still need like a lot of support in my grad year’ related to students recognising the need for support and supervision post-qualifying to bridge the gaps in their learning; and (4) ‘We are the COVID nurses’ encompassed student recognition of skills gained including communication skills, competence with technology and telehealth, knowledge of infection control, and work readiness skills (e.g. adaptability and resilience) as a result of training during the global pandemic.

Conclusions
Universities can support work readiness during pandemic circumstances by fostering clinical skills development through continuation of quality placement experiences and face-to-face curriculum delivery. Although health graduates trained during the pandemic are likely to have a range of additional work ready skills, health services will need to proactively support their transition into the workforce in the coming years.
Association of plasma proteomics with mortality in individuals with and without type 2 diabetes: Results from two population-based KORA cohort studies
Authors: Luo Hong , Petrera Agnese , Hauck Stefanie M. , Rathmann Wolfgang , Herder Christian , Gieger Christian , Hoyer Annika , Peters Annette , Thorand Barbara 
Published: September 2024

Abstract
Background
Protein biomarkers may contribute to the identification of vulnerable subgroups for premature mortality. This study aimed to investigate the association of plasma proteins with all-cause and cause-specific mortality among individuals with and without baseline type 2 diabetes (T2D) and evaluate their impact on the prediction of all-cause mortality in two prospective Cooperative Health Research in the Region of Augsburg (KORA) studies.

Methods
The discovery cohort comprised 1545 participants (median follow-up 15.6 years; 244 with T2D: 116 total, 62 cardiovascular, 31 cancer-related and 23 other-cause deaths; 1301 without T2D: 321 total, 114 cardiovascular, 120 cancer-related and 87 other-cause deaths). The validation cohort comprised 1031 participants (median follow-up 6.9 years; 203 with T2D: 76 total, 45 cardiovascular, 19 cancer-related and 12 other-cause deaths; 828 without T2D: 169 total, 74 cardiovascular, 39 cancer-related and 56 other-cause deaths). We used Cox regression to examine associations of 233 plasma proteins with all-cause and cause-specific mortality and Lasso regression to construct prediction models for all-cause mortality stratifying by baseline T2D. C-index, category-free net reclassification index (cfNRI), and integrated discrimination improvement (IDI) were conducted to evaluate the predictive performance of built prediction models.

Results
Thirty-five and 62 proteins, with 29 overlapping, were positively associated with all-cause mortality in the group with and without T2D, respectively. Out of these, in the group with T2D, 35, eight, and 26 were positively associated with cardiovascular, cancer-related, and other-cause mortality, while in the group without T2D, 55, 41, and 47 were positively associated with respective cause-specific outcomes in the pooled analysis of both cohorts. Regulation of insulin-like growth factor (IGF) transport and uptake by IGF-binding proteins emerged as a unique pathway enriched for all-cause and cardiovascular mortality in individuals with T2D. The combined model containing the selected proteins (five and 12 proteins, with four overlapping, in the group with and without T2D, respectively) and clinical risk factors improved the prediction of all-cause mortality by C-index, cfNRI, and IDI.

Conclusions
This study uncovered shared and unique mortality-related proteins in persons with and without T2D and emphasized the role of proteins in improving the prediction of mortality in different T2D subgroups.