Longitudinal studies

Identifying leading anti-inflammatory dietary determinants of depression and loneliness in older adults

Objectives

The study aims to explore the association between anti-inflammatory dietary variables and prevalence of depression and loneliness in older adults.

Design

A cross-sectional secondary data analysis was performed using data from the English Longitudinal Study of Ageing (ELSA), targeting adults aged 50 and over.

Method

Data from wave 9 of ELSA were utilised. Binary logistic regression was employed to estimate the Odds ratios (ORs) and 95 % confidence intervals (CIs) for the association between participants' intake of fruits, vegetables, fish, nuts and seeds, legumes, and wholegrains, and the prevalence of depression and loneliness. Two sets of regressions were conducted: the first set examined each dietary component individually, while the second considered all variables simultaneously. Both models were tested with and without adjusting for covariates, including age, gender, ethnicity, self-rated weight, marital status, education, socio-economic status, and activity-limiting long-standing illnesses.

Results

Of 4254 participants included in the analysis, 355 participants (8 %) had depression, and 623 (15 %) reported experiencing loneliness. An association was observed between higher intakes of fruits and lower prevalence of depression (OR = 0.89, 95 % CI: 0.79-1.00, p = 0.05), and between higher intakes of vegetables and lower prevalence of loneliness (OR = 0.91, 95 % CI: 0.83-1.00, p = 0.05). However, these associations lost statistical significance after adjustment for confounders. Similarly, the second model, which included all anti-inflammatory dietary variables, failed to show a significant association with depression and loneliness.

Conclusions

The study does not support the hypothesis that anti-inflammatory variables are associated with prevalence of depression and loneliness in older adults.

Strategies Used by Emergency Department Clinical Champions to Sustain Improvements in Intimate Partner Violence Screening: A Longitudinal Qualitative Study

Aim: To identify the strategies that clinical champions implemented within emergency departments to initiate and sustain routine intimate partner violence (IPV) screening. Background: For effective IPV identification and responses to occur within healthcare settings, new attitudinal and practice changes are required. This paper adds to the body of knowledge about champions and their role within healthcare settings to achieve this end. Design: This qualitative study involved semistructured interviews with 23 individuals over a 2-year period who identified as champions and worked to introduce routine IPV screening in two hospital emergency departments. Data from transcribed interviews were analysed thematically using an interpretive framework and a process of constant comparison. Results: Champions detailed a range of strategies they employed to foster practice change. The primary strategies were as follows: normalising enquiring about IPV through narrative practice, building understanding and ownership, providing accompaniment, serving as an educator and resource person, and managing resistance. Conclusions and Implications: This paper highlights the specific complexities champions face when bringing about practice change in the area of IPV. The findings suggest nurse champions, particularly those working in the IPV space, adopt unique strategies compared to those described in the mainstream literature on champions. This evidence has implications for best practice and can ensure that the champion role is more effectively utilised by health services to better meet the needs of individuals experiencing IPV. It is recommended that champions be established as part of any IPV practice change process. Introduction of IPV education into nursing undergraduate and postgraduate education and workplace ongoing education and training is also recommended to strengthen the capacity of nursing staff to serve as IPV practice change champions.

Could self-reporting sleep duration become an important tool in the prediction of dementia?

INTRODUCTION

Optimal sleep duration is increasingly recognized as an important determinant of overall health, including cognitive functioning. Studies often report a U- or J-shaped relationship between sleep duration and incident dementia or cognitive deterioration, whereas long sleep, the extremes of sleep duration, and the transition to long sleep were particularly detrimental. In preclinical studies, partial or complete sleep deprivation produced inflammation, oxidative stress, as well as increased tau hyperphosphorylation and amyloid-β burden. In humans, although the findings are less pronounced, they still highlight that transitioning to an excessive sleep duration is associated with neurodegeneration. Moreover, the association between sleep duration and dementia is complex and modified by genetic, psychosocial and lifestyle factors, along with psychiatric and somatic comorbidities.

AREAS COVERED

The purpose of this perspective is to summarize the current knowledge on the association between sleep duration and dementia. It is based on a literature search for meta-analyses of prospective studies with sleep duration as an exposure and dementia as an outcome.

EXPERT OPINION

Sleep duration is a modifiable risk factor for dementia while long sleep may be an early sign of neurodegeneration. Therefore, self-reported sleep duration is an easy-to-use tool for detecting individuals who may be at risk for cognitive deterioration.

Self-reported outcomes following lower extremity, carotid and aortic artery disease: protocol for the Danish Vascular (DanVasc) survey

INTRODUCTION

Among lower extremity artery disease (LEAD), symptomatic carotid stenosis (SCS) and abdominal aortic aneurysm (AAA), the disease burden is insufficiently illuminated from a patient and societal perspective. Such knowledge is central to identifying patients at risk of poorer outcomes. Therefore, the Danish Vascular (DanVasc) survey aims to describe self-reported health status, health literacy, medication adherence and loneliness, including changes over time, and investigate characteristics associated with worse self-reported health at baseline and their associations with poorer outcomes within 1 year (healthcare utilisation and mortality) in patients with LEAD, SCS and AAA.

METHODS AND ANALYSIS

The DanVasc survey, a national prospective cohort study combining survey data measured at several time points with register-based data, includes validated patient-reported outcome measures (PROMs) and ancillary questions developed with patient representatives. Our baseline survey (T0) follows the index contact in vascular outpatient clinics with follow-up surveys determined by the patient's trajectory: (1) newly referred patients in conservative treatment trajectories; the date for the outpatient visit activates 1-month (T1), 3-month (T2) and 12-month (T3) follow-ups. (2) Patients referred for vascular surgery; the surgery date activates 1-month (T1), 3-month (T2) and 12-month (T3) follow-ups. The included PROMs assess health-related quality of life (HRQoL), anxiety and depression, sleep, frailty status, health literacy, medication adherence and loneliness. For LEAD, a disease-specific PROM evaluates HRQoL. For AAA, disease-specific ancillary questions are added. Additionally, the DanVasc survey includes questions on health behaviour, preventive measures and sexual life. The DanVasc survey will be linked to national registries to obtain socio-demographic information and data on redeemed prescriptions, clinical information, healthcare utilisation, comorbidities and mortality. From December 2023 to December 2024, we aim to recruit approximately 5500 patients from all seven DanVasc surgery departments. Patient characteristics will be reported using descriptive statistics. Changes over time and factors associated with poorer health outcomes will be analysed using linear, logistic and Cox proportional hazard models, presented as univariate and multivariate regressions.

ETHICS AND DISSEMINATION

Approval for the collection of medical record data was granted by the Central Denmark Region, acting on behalf of all Danish regions (record 1-45-70-94-22). Consent to participate is obtained prior to answering the survey. Results will be disseminated through peer-reviewed scientific publications and conference presentations, and findings will be shared with patients and relevant stakeholders via public and social media.

Development of Clinical Judgment in Prelicensure Nursing Students Through Simulation: A Longitudinal Study

BACKGROUND

There is a lack of longitudinal studies measuring student progression in clinical judgment. Previous studies measured gains in clinical judgment after 1 intervention or over 1 semester.

PURPOSE

This study evaluated the development and progression of clinical judgment in simulation throughout a prelicensure bachelor of science in nursing (BSN) program using the Lasater Clinical Judgment Rubric (LCJR).

METHODS

This retrospective longitudinal study evaluated clinical judgment using the LCJR over 4 semesters, with a sample of 53 prelicensure nursing students. Each student had 18 simulation scores recorded during the study. A linear mixed model was employed to compare LCJR average scores from the beginning to the end of the program and across each semester.

RESULTS

Eighteen simulations were reviewed among 4 nursing courses. LCJR scores increased progressively from the first to the fourth semester.

CONCLUSIONS

Students showed progression of clinical judgment throughout a BSN curriculum using the LCJR as an assessment tool.

Scoping review exploring the impact of hip fracture in older adults with cognitive impairment or dementia

OBJECTIVES

This review summarises the impact of hip fractures on health outcomes including subsequent falls, hospitalisation, length of hospital stay (LOS), functional status, quality of life and mortality in older adults with cognitive impairment or dementia. It also explores the risk of institutionalisation following a hip fracture in this population.

DESIGN

A scoping review following the Arksey and O'Malley framework guided by the Joanna Briggs Institute methodology and adheres to Preferred Reporting Items for Systematic Reviews and Meta-analyses extension for Scoping Reviews guidelines.

DATA SOURCES

A comprehensive search strategy was developed to search MEDLINE, EMBASE, CINAHL and grey literature, with additional references identified through citation searching and Web of Science.

ELIGIBILITY CRITERIA

Studies were included if they examined older adults with cognitive impairment or dementia who experienced a hip fracture and reported outcomes related to hospitalisation, functional status, quality of life, mortality or institutionalisation.

DATA EXTRACTION AND SYNTHESIS

Study selection and data extraction were conducted independently by two reviewers using Covidence software. A narrative synthesis approach was employed to summarise findings and identify key themes, patterns and gaps in the literature.

RESULTS

We identified 30 studies reporting health outcomes following hip fracture. Overall, the studies indicated that individuals with cognitive impairment or dementia have higher hospitalisation rates, poorer walking ability and functional outcomes, as well as reduced quality of life posthip fracture. The LOS for individuals with dementia following hip fracture was inconsistent across studies, with some reporting shorter LOS and others indicating longer LOS. Individuals with dementia consistently exhibit higher mortality rates at 30 days, 90 days and 1-year postfracture compared with those without dementia. We found 21 studies that evaluated the risk of institutionalisation following a hip fracture. Older adults with dementia were significantly more likely to be institutionalised posthip fracture, with nearly five times the risk of failing to return home compared with those without dementia. This increased risk persists up to 1-year postfracture and is particularly pronounced in those with severe cognitive impairment, with higher rates of nursing home placement observed among individuals with hip fractures.

CONCLUSION

Older adults with cognitive impairment or dementia experience significantly worse outcomes following hip fractures, including higher mortality, poorer functional outcomes, reduced quality of life and a higher risk of institutionalisation postfracture. Future research should focus on developing effective strategies for fracture prevention, including optimising osteoporosis treatment in this high-risk population, and developing targeted interventions to improve the impact of fractures on functional outcomes and reduce institutionalisation rates in this vulnerable population.

Preparedness, Uncertainty, and Distress Among Family Caregivers in the Care of Patients Undergoing Hematopoietic Stem Cell Transplantation

OBJECTIVES

To determine the level of preparedness, uncertainty, and distress of family caregivers (FCs) of patients before and after hematopoietic stem cell transplantation.

SAMPLE & SETTING

This study is a longitudinal cohort panel study involving 69 FCs of patients undergoing hematopoietic stem cell transplantation.

METHODS & VARIABLES

Data were collected during the first week of hospitalization (T0) and two weeks after discharge (T1) via FCs' demographic information, a clinical status form for patients, two scales, and a psychological distress instrument. IBM SPSS Statistics, version 16.0, was used for data analysis.

RESULTS

The mean preparedness among FCs decreased significantly at T1 compared to T0. In addition, the uncertainty experienced by FCs was significantly higher at T0 than at T1.

IMPLICATIONS FOR NURSING

Assessing the readiness of FCs and providing them with psychological and supportive interventions before patients are discharged is crucial for ensuring better care of patients undergoing hematopoietic stem cell transplantation. Nurses must offer comprehensive information to FCs about patients' diagnosis, treatment, and care protocol to minimize uncertainty.

Heat-Related Health Risks for People Experiencing Homelessness: A Rapid Review

Extreme heat poses a significant public health threat for people experiencing homelessness (PEH), who face heightened risks due to prolonged outdoor exposure and limited access to resources. This rapid review synthesizes research from the past five years on the health impacts of extreme heat for PEH in high-income countries. A total of 11 studies were identified through a systematic search of multiple databases, focusing on publications from 2019 to 2024. The review highlights key vulnerability factors, including demographic characteristics, pre-existing health conditions, and geographic disparities, that increase heat-related health risks for PEH. Physical health impacts, such as heat-related morbidity and mortality, are common, alongside mental health and substance use disorders exacerbated by heat exposure. The review also highlights a significant increase in emergency department visits among PEH during heat events, emphasizing the additional burden on healthcare systems. Barriers, including limited physical and social access to cooling centers, water insecurity, and stigma, further compound these challenges. Addressing the unique vulnerabilities of PEH is crucial to reducing their risks during extreme heat events. Improving housing access and stability is essential as a long-term strategy to decrease homelessness and reduce heat stress in this vulnerable population. The review also underscores the need for inclusive interventions such as accessible cooling centers with targeted programming, regular access to water, and tailored healthcare services to meet the needs of PEH. Future research should focus on long-term studies to assess potential cumulative heat exposure effects and evaluate the effectiveness of interventions aimed at mitigating extreme heat impacts on PEH, while applying an intersectionality lens to explore how factors like race, gender, and age shape vulnerabilities and potential intervention strategies.

Effect of the coronavirus disease 2019 pandemic on beliefs and practices regarding hand hygiene among intensive care nurses: A repeated cross-sectional study

Hand hygiene is an important factor in the prevention of healthcare-associated infections. Studies show healthcare professionals' hand hygiene practices vary and are not at sufficient levels. This study aimed to examine the effect of the COVID-19 pandemic on the beliefs and practices of nurses working in intensive care units (ICU) towards hand hygiene. This was longitudinal, repeated, and cross-sectional study. The study was conducted in 2 phases between January 2,2020 and March 10,2021 in the intensive care unit of a university hospital in northern Turkey. No sampling method was used. The objective was to reach the entire population. The first phase of this study was completed with 119 (76% of the population) ICU nurses and the second phase with 85 (70% of the population) ICU nurses. The data were collected with the personal information form, hand hygiene belief scale (HHBS), hand hygiene practices inventory (HHPI) and the views of the intensive care nurses related to COVID-19. Descriptive statistics such as mean and standard deviations, frequency, and percentages and analytical statistics such as t-test, Mann-Whitney U test, Kruskal-Wallis test were used for data analysis at the significance level of P < .05. The majority of the nurses who participated in the study were female (75.6%; 69.4%), with a mean age of 30.82 ± 5.51 and 30.58 ± 5.51 years, respectively. There was a significant difference (P < .05) between the median HHBS (P = .002) and HHPI (P = .001) scores before and after COVID-19. All nurses (100%) reported that the pandemic was effective in hand hygiene practices. In this study, it was determined that the hand hygiene beliefs and practices of nurses were high, and the scores of nurses' hand hygiene beliefs and practices after COVID-19 increased significantly. Healthcare professionals must always adhere to stringent standards of hand hygiene, rather than merely during periods of heightened challenges. To ensure the sustainability of optimal hand hygiene practices, it is recommended that motivational interventions that strengthen beliefs and practices related to hand hygiene should be implemented and that studies should be conducted to evaluate their effectiveness.

Prevalence and Determinants of Hookah Smoking Among the Youth: A Scoping Review

Hookah smoking is highly prevalent and has been rising in popularity among young people worldwide. Yet, no recent and comprehensive reviews have been published to assess the prevalence and identify the main predictors of hookah use. We have thus carried out a comprehensive scoping review to consolidate and review the existing evidence for the prevalence and main determinants of hookah smoking among youth. A comprehensive literature search was thus conducted utilizing various databases including ScienceDirect, Scopus, Embase, and MEDLINE to identify relevant studies. To be incorporated in this review, studies had to include individuals below the age of 25, measure the prevalence of hookah smoking, or examine the determinants of hookah smoking. The review showed that hookah is mostly prevalent among youth from the Middle Eastern region, USA, South Asia, and various European countries. It also identified the main determinants of hookah smoking, which include age, the male gender, socioeconomic status, geographic region, other forms of substance use, knowledge, beliefs, and attitudes toward hookah smoking, sensation seeking, having friends and/or family members who smoke hookah, social acceptability, intention, accessibility, and lack of enforcement of prohibiting laws. The main determinants of hookah use include having friends and/or family members who smoke hookah, social acceptability, attitude, accessibility, and lack of enforcement of prohibiting laws. Public health authorities, educators, and other stakeholders should implement educational interventions to enhance the knowledge level on hookah smoking's harm and addiction and should target not only the individuals but also the family and the social environment.

Longitudinal studies: focus on trajectory analysis in kidney diseases

Longitudinal cohort studies are pivotal in medical research for understanding disease progression over time. These studies track a group of individuals across multiple time points, enabling the identification of risk factors and the evaluation of interventions. Traditional methods like linear mixed models, generalized estimating equations, and survival analysis often fall short in capturing the complex, non-linear patterns of disease progression. Trajectory analysis, a statistical technique that identifies distinct paths within longitudinal data, offers a more nuanced approach. This review delves into the methodological foundations of trajectory analysis, including data preparation, model selection, parameter estimation, model evaluation, and interpretation. It highlights the advantages of trajectory analysis, such as its ability to capture heterogeneity, handle various data types, and enhance predictive power. The application of trajectory analysis in nephrology, particularly in chronic kidney disease and diabetic nephropathy, demonstrates its utility in identifying distinct subgroups with different disease trajectories. Studies have shown that trajectory analysis can uncover patterns of renal function decline and proteinuria progression, providing insights that inform personalized treatment strategies. Despite its strengths, trajectory analysis requires advanced statistical knowledge, computational resources, and large sample sizes, which can be barriers for some researchers. Nevertheless, its ability to reveal complex disease patterns and improve predictive accuracy makes it a valuable tool in longitudinal studies. This review underscores the potential of trajectory analysis to enhance our understanding of disease progression and improve patient outcomes in nephrology and beyond.

Are standing balance and walking ability deficits poststroke related to the integrity of the corticospinal and non-corticospinal tracts? A meta-analysis

BACKGROUND

The importance of corticospinal tract (CST) integrity in upper limb recovery poststroke is well established, but its association with standing balance and walking remains unclear. This meta-analysis aimed to establish the relationship between CST and non-CST motor tract integrity, and clinical scores of standing balance and walking poststroke.

METHODS

In July 2024, five databases were searched for studies, focusing on diffusion MRI metrics and clinical scores of standing balance and/or walking independence poststroke. Meta-analyses were conducted to pool correlation coefficients (r) and group differences (d) based on CST integrity.

RESULTS

Twenty-two studies were included. Cross-sectional analysis showed no correlation (r < .25) between CST metrics and the functional ambulation category (FAC) in the sub-acute phase. Weak prognostic associations were found for CST-FA and CST-FN with FAC. Significant FAC score differences were found between preserved- and disrupted CST groups in the sub-acute (d = .79) and chronic (d = 1.07) phase and for prognostic analysis (d = 1.40). Non-CST metrics showed no cross-sectional associations and mixed prognostic associations.

CONCLUSIONS

CST integrity was not significantly associated with standing balance or walking independence in the sub-acute phase. Early CST integrity showed weak prognostic value for walking at 6 months. Multimodal longitudinal research is needed to improve lower limb recovery prognostics.

Joint modelling of longitudinal data: a scoping review of methodology and applications for non-time to event data

BACKGROUND

Joint models are powerful statistical models that allow us to define a joint likelihood for quantifying the association between two or more outcomes. Joint modelling has been shown to reduce bias in parameter estimates, increase the efficiency of statistical inference by incorporating the correlation between measurements, and allow borrowing of information in cases where data is missing for variables of interest. Most joint modelling methods and applications involve time-to-event data. There is less awareness about the amount of literature available for joint models of non-time-to-event data. Therefore, this review's main objective is to summarise the current state of joint modelling of non-time-to-event longitudinal data.

METHODS

We conducted a search in PubMed, Embase, Medline, Scopus, and Web of Science following the PRISMA-ScR guidelines for articles published up to 28 January 2024. Studies were included if they focused on joint modelling of non-time-to-event longitudinal data and published in English. Exclusions were made for time-to-event articles, conference abstracts, book chapters, and studies without full text. We extracted information on statistical methods, association structure, estimation methods, software, etc. RESULTS: We identified 4,681 studies from the search. After removing 2,769 duplicates, 1,912 were reviewed by title and abstract, and 190 underwent full-text review. Ultimately, 74 studies met inclusion criteria and spanned from 2001 to 2024, with the majority (64 studies; 86%) published between 2014 and 2024. Most joint models were based on a frequentist approach (48 studies; 65%) and applied a linear mixed-effects model. The random effect was the most commonly applied association structure for linking two sub-models (63 studies; 85%). Estimation of model parameters was commonly done using Markov Chain Monte Carlo with Gibbs sampler algorithm (10 studies; 38%) for the Bayesian approach, whereas maximum likelihood was the most common (33 studies; 68.75%) for the frequentist approach. Most studies used R statistical software (33 studies; 40%) for analysis.

CONCLUSION

A wide range of methods for joint-modelling non-time-to-event longitudinal data exist and have been applied to various areas. An exponential increase in the application of joint modelling of non-time-to-event longitudinal data has been observed in the last decade. There is an opportunity to leverage potential benefits of joint modelling for non-time-to-event longitudinal data for reducing bias in parameter estimates, increasing efficiency of statistical inference by incorporating the correlation between measurements, and allowing borrowing of information in cases with missing data.

BioMapAI: Artificial Intelligence Multi-Omics Modeling of Myalgic Encephalomyelitis / Chronic Fatigue Syndrome

Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is a chronic illness with a multifactorial etiology and heterogeneous symptomatology, posing major challenges for diagnosis and treatment. Here, we present BioMapAI, a supervised deep neural network trained on a four-year, longitudinal, multi-omics dataset from 249 participants, which integrates gut metagenomics, plasma metabolomics, immune cell profiling, blood laboratory data, and detailed clinical symptoms. By simultaneously modeling these diverse data types to predict clinical severity, BioMapAI identifies disease- and symptom-specific biomarkers and robustly classifies ME/CFS in both held-out and independent external cohorts. Using an explainable AI approach, we construct the first connectivity map spanning the microbiome, immune system, and plasma metabolome in health and ME/CFS, adjusted for age, gender, and additional clinical factors. This map uncovers disrupted associations between microbial metabolism (e.g., short-chain fatty acids, branched-chain amino acids, tryptophan, benzoate), plasma lipids and bile acids, and heightened inflammatory responses in mucosal and inflammatory T cell subsets (MAIT, γδT) secreting IFNγ and GzA. Overall, BioMapAI provides unprecedented systems-level insights into ME/CFS, refining existing hypotheses and hypothesizing new pathways associated to the disease's heterogeneous symptoms.

Efficacy of cryogun cryotherapy for benign oral vascular anomalies: a longitudinal study

OBJECTIVES

To evaluate the efficacy and safety of cryogun cryotherapy in treating benign oral vascular anomalies (BOVAs).

MATERIALS AND METHODS

We conducted a retrospective longitudinal study on patients with BOVA who underwent cryogun cryotherapy. The clinical outcomes assessed included lesion regression, recurrence, complications, and clinical predictors of prognosis.

RESULTS

Cryogun cryotherapy demonstrated high efficacy in treating BOVA in a study of 33 patients, with 97% of lesions achieving complete regression after an average of 1.64 ± 0.93 sessions (range: 1-4). Treatment outcomes were influenced by factors such as lesion morphology and anatomical location. Lesions in the buccal mucosa required more sessions compared to other anatomical sites, and exophytic lesions necessitated more sessions than flat lesions.

CONCLUSIONS

Cryogun cryotherapy is a safe and effective treatment option for BOVA, regardless of lesion size or location. Residual lesions can be treated successfully with additional sessions.

CLINICAL RELEVANCE

Cryogun cryotherapy offers a reliable prognosis for BOVA patients and provides a cost-effective, non-invasive alternative to other treatment methods.

EANM perspective on clinical PET and SPECT imaging in schizophrenia-spectrum disorders: a systematic review of longitudinal studies

PURPOSE

There is a need for biomarkers in psychiatry to improve diagnosis, prognosis and management, and with confirmed value in follow-up care. Radionuclide imaging, given its molecular imaging characteristics, is well-positioned for translation to the clinic. This systematic review lays the groundwork for integrating PET and SPECT imaging in the clinical management of schizophrenia-spectrum disorders.

METHODS

Systematic search of PubMed, Embase, Web of Science and Cochrane library databases was conducted from the earliest date available until February 2024. The focus was on longitudinal studies evaluating PET or SPECT imaging in individuals with a schizophrenia-spectrum or another psychotic disorders. Quality assessment was done using the Newcastle-Ottawa Scale (NOS), NIH scale for before-after studies and Cochrane Risk of Bias tool version 2 (Cochrane RoB2). Studies were further categorised into three groups: preclinical and diagnosis, predicting disease course or personalising treatment.

RESULTS

Fifty-six studies were included in the systematic review investigating in total 1329 patients over a median of 3 months. Over two-thirds used PET tracers, whereas the remaining studies employed SPECT tracers. The most frequently investigated system was dopaminergic transmission, followed by cerebral metabolism and blood flow. [18F]FDOPA demonstrated large effect size in predicting conversion of subjects at risk and treatment response. Additionally, treatment dosage could be optimised to reduce side effects using [123I]IBZM or [11C]raclopride.

CONCLUSION

Molecular imaging holds significant promise for real-life application in schizophrenia, with two particularly encouraging avenues being the prediction of conversion/response to antipsychotic medication and the improved management of antipsychotic dosage. Further longitudinal studies and clinical trials will be essential for validating both the clinical effectiveness and economic sustainability, as well as for exploring new applications.

Exploring Health Educational Interventions for Children With Congenital Heart Disease: Scoping Review

BACKGROUND

Congenital heart disease (CHD) is the most common birth defect, affecting 40,000 births annually in the United States. Despite advances in medical care, CHD is often a chronic condition requiring continuous management and education. Effective care management depends on children's understanding of their condition. This highlights the need for targeted health educational interventions to enhance health literacy among children with CHD.

OBJECTIVE

This scoping review aims to map and explore existing health educational interventions for children with CHD. The review identifies the types of interventions, target populations, delivery methods, and assessed outcomes. The goal is to consolidate fragmented research, identify gaps, and establish future research agendas.

METHODS

Comprehensive searches were conducted in February 2024 using the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) framework across multiple databases: APA PsycINFO, MedlinePlus via Ovid, Web of Science, ACM Digital Library, Scopus, and EBSCOhost (CINAHL Complete, CINAHL Ultimate, Health Source: Nursing/Academic Edition, and ERIC). The search covered health care, design, and human-computer interaction disciplines to capture the interdisciplinary nature of CHD health educational interventions. There was no predefined time limit due to the limited number of relevant studies. Eligible studies were in English, published in peer-reviewed journals, and focused on primary data about educational health interventions for children with CHD. We extracted and synthesized data using thematic analysis.

RESULTS

The review identified 11 studies: 9 randomized controlled trials and 2 observational studies. These used 6 educational strategies: 3D patient-specific models (n=3), habit formation interventions (n=2), empowerment-based health education programs (n=2), rehabilitation interventions (n=2), web-based portals (n=1), and videotape presentations (n=1). Interventions ranged from brief outpatient sessions to 1.5-year programs, with follow-up from none to 24 months. Studies aimed to improve coping, self-management, and knowledge for children with CHD and their families. The most frequently used assessment method was the independent samples t test (n=4) for pre- and postassessments, and all 11 studies used questionnaires, 8 of which incorporated qualitative feedback. The target participants for these interventions were children aged 13 years and older (n=3), parents (n=2), and children of various ages and their parents (n=6). Outcomes included improved children's health literacy, reduced parental burden, and increased health care provider efficiency.

CONCLUSIONS

This review underscores the critical need for tailored educational interventions for children with CHD. Current research mainly focuses on adolescents and relies heavily on parental involvement, possibly overlooking the specific needs of younger children younger than 13 years of age. It is essential to develop engaging, age-appropriate interventions that actively involve children with CHD in their health care journey. Effective health educational interventions are crucial in empowering these young patients and improving their long-term health outcomes.

Association of Alzheimer's Disease Polygenic Risk Score with Concussion Severity and Recovery Metrics

BACKGROUND

Identification of genetic alleles associated with both Alzheimer's disease (AD) and concussion severity/recovery could help explain the association between concussion and elevated dementia risk. However, there has been little investigation into whether AD risk genes associate with concussion severity/recovery, and the limited findings are mixed.

OBJECTIVE

We used AD polygenic risk scores (PRS) and APOE genotypes to investigate any such associations in the NCAA-DoD Grand Alliance CARE Consortium (CARE) dataset.

METHODS

We assessed six concussion outcomes in 931 participants, including two recovery measures (number of days to asymptomatic and to return to play (RTP)) and four severity measures (scores on SAC and BESS, SCAT symptom severity and total number of symptoms). We calculated the PRS using a published score and performed multiple linear regression to assess the relationship of the PRS with outcomes. We also used ANOVAs, t-tests, and chi-square tests to examine outcomes by APOE genotype.

RESULTS

Higher PRS was associated with longer injury to RTP time in the normal RTP (< 24 days) subgroup (p = 0.024). A one standard deviation increase in the PRS resulted in a 9.89 hour increase to RTP time. This result was no longer significant after inclusion of covariates. There were no other consistently significant effects.

CONCLUSIONS

Our findings suggest high AD genetic risk is not associated with more severe concussions or poor recovery in young adults. Future studies should attempt to replicate these findings in larger samples with longer follow-up using PRS calculated from diverse populations.

Building a Digital Health Research Platform to Enable Recruitment, Enrollment, Data Collection, and Follow-Up for a Highly Diverse Longitudinal US Cohort of 1 Million People in the All of Us Research Program: Design and Implementation Study

BACKGROUND

Longitudinal cohort studies have traditionally relied on clinic-based recruitment models, which limit cohort diversity and the generalizability of research outcomes. Digital research platforms can be used to increase participant access, improve study engagement, streamline data collection, and increase data quality; however, the efficacy and sustainability of digitally enabled studies rely heavily on the design, implementation, and management of the digital platform being used.

OBJECTIVE

We sought to design and build a secure, privacy-preserving, validated, participant-centric digital health research platform (DHRP) to recruit and enroll participants, collect multimodal data, and engage participants from diverse backgrounds in the National Institutes of Health's (NIH) All of Us Research Program (AOU). AOU is an ongoing national, multiyear study aimed to build a research cohort of 1 million participants that reflects the diversity of the United States, including minority, health-disparate, and other populations underrepresented in biomedical research (UBR).

METHODS

We collaborated with community members, health care provider organizations (HPOs), and NIH leadership to design, build, and validate a secure, feature-rich digital platform to facilitate multisite, hybrid, and remote study participation and multimodal data collection in AOU. Participants were recruited by in-person, print, and online digital campaigns. Participants securely accessed the DHRP via web and mobile apps, either independently or with research staff support. The participant-facing tool facilitated electronic informed consent (eConsent), multisource data collection (eg, surveys, genomic results, wearables, and electronic health records [EHRs]), and ongoing participant engagement. We also built tools for research staff to conduct remote participant support, study workflow management, participant tracking, data analytics, data harmonization, and data management.

RESULTS

We built a secure, participant-centric DHRP with engaging functionality used to recruit, engage, and collect data from 705,719 diverse participants throughout the United States. As of April 2024, 87% (n=613,976) of the participants enrolled via the platform were from UBR groups, including racial and ethnic minorities (n=282,429, 46%), rural dwelling individuals (n=49,118, 8%), those over the age of 65 years (n=190,333, 31%), and individuals with low socioeconomic status (n=122,795, 20%).

CONCLUSIONS

We built a participant-centric digital platform with tools to enable engagement with individuals from different racial, ethnic, and socioeconomic backgrounds and other UBR groups. This DHRP demonstrated successful use among diverse participants. These findings could be used as best practices for the effective use of digital platforms to build and sustain cohorts of various study designs and increase engagement with diverse populations in health research.

Sexual dysfunction in lymphoma survivors: a scoping review

BACKGROUND

Lymphoma and cancer-related treatment can cause many complications, including sexual dysfunction, a common symptom experienced by lymphoma survivors during the disease trajectory and survivorship.

AIMS

A scoping review was performed to determine the current state of knowledge about sexual dysfunction in lymphoma survivors and identify knowledge gaps and implications for future research.

METHODS

PubMed, Cumulative Index to Nursing and Allied Health Literature, and PsycINFO were searched to identify all primary peer-reviewed research articles published in the English language that were pertinent to sexual dysfunction in lymphoma survivors. The framework of Arksey and O'Malley and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews Checklist were used to assess and synthesize the available evidence on sexual dysfunction in lymphoma survivors.

OUTCOMES

This review provided supportive evidence that sexual function in lymphoma survivors is a major ongoing area of concern.

RESULTS

Thirty eligible articles published from 1979 to 2023 were appraised in this review. Most of the studies (73.33%) used a cross-sectional design. Using the Methodological Index for Non-Randomized Studies, more than half of the publications (53.33%) achieved a C quality ranking. The reviewed studies revealed that sexual dysfunction was a prevalent symptom experienced by lymphoma survivors, with predictors such as age, gender, sex hormones, stage of disease, and types of cancer treatment.

CLINICAL IMPLICATIONS

Healthcare providers need to consistently perform routine assessment of sexual function and provide adequate treatment options.

STRENGTHS AND LIMITATIONS

The reviewed studies document the problem of sexual dysfunction and offer potential areas of improvement for clinical practice. However, in the majority of the studies, longitudinal data were not obtained which could provide valuable insights on sexual functioning in lymphoma survivors.

CONCLUSION

Despite many years of research on sexual function in lymphoma survivors, substantial gaps in knowledge regarding sexual issues in this population remain.

IMPLICATIONS FOR PRACTICE

Healthcare providers should routinely assess sexual function of survivors and provide treatment options. Psychosexual interventions should be tailored for the needs of cancer survivors. Sexual function education is essential for all oncologists and should be included in the care pathway from diagnosis until survivorship.

Important Mechanisms in the Development of Anxiety in Children with ADHD: The Role of Associated Features of ADHD and Interpersonal Functioning

Over a quarter of children with Attention-deficit/hyperactivity disorder (ADHD) meet diagnostic criteria for an anxiety disorder as well. The goals of this paper are (a) to examine what is currently known about co-occurring ADHD and anxiety in children, (b) propose and outline underlying factors relevant to the development of anxiety in children with ADHD, and (c) discuss future directions and clinical implications for the prevention and identification of anxiety development in children with ADHD. It is proposed that certain associated features of ADHD (i.e., low effortful control and emotion dysregulation) as well as various interpersonal factors related to ADHD (i.e., poor parent, teacher, and peer relationships) form a negative feedback loop that increases susceptibility to anxiety in a subset of children with ADHD. The literature supports interrelations between and across the associated features and interpersonal factors. Additional research is needed to test the validity of the proposed process. Obtaining further insight into the interplay between these different factors can help identify a subset of children with ADHD who are at risk for developing anxiety, which can enhance the precision of prevention, assessment, and treatment efforts for these children.

Psychological predictors of incident subjective cognitive complaints in community dwelling older adults

BACKGROUND

Subjective cognitive complaint (SCC) is associated with future cognitive decline and may be a marker for clinical intervention in the progression to dementia. Among the viable predictors of SCC, psychological factors are clinically relevant, non-invasive early indicators of older adults at elevated risk.    This aim of this study is to determine whether psychological symptoms: dysphoria and apathy precede incident SCC in the dementia pathway.

METHODS

Participants (n = 592) enrolled in the Central Control of Mobility in Aging Study were includes in the analyses, with prevalent cases excluded. Apathy and dysphoria scale scores were derived using confirmatory factor analysis of the Geriatric Depressive Scale. Cox regression analyses was used to determine the association between apathy and dysphoria scores and incident SCC.

RESULTS

Over a mean follow up of 1.90 years, 44 individuals (9.26%) developed incident SCC. Baseline apathy scale score was significantly associated with 4-fold increased risk of SCC (HR 4.39, 95%CI: 1.32-14.67), adjusted for cognition but not age and dysphoria scale score. Baseline dysphoria scale score was not associated with increased risk of SCC in adjusted analyses.

CONCLUSION

In this longitudinal analysis of community dwelling older adults, apathy was associated with an increased risk of SCC, when adjusting for cognition but not dysphoria. Finally, this study highlights apathy as an early risk factor, which may precede SCC in the progression to dementia and consequently, may identify a high risk group for clinical screening and intervention.

The association between social support and prosocial behavior: A three-level meta-analysis

Numerous studies have examined the relationship between social support and prosocial behavior and have concluded that social support is an important factor in generating prosocial behavior. However, different studies have produced different conclusions, and the moderating effect on the relationship is not entirely clear. The current study uses a three-level meta-analysis method to clarify the relationship between social support and prosocial behavior, and explores the moderating variables that affect the relationship between the two variables. Through a systematic literature search, a total of 92 studies, 418 effect sizes, and 74,378 participants were obtained. The main effects test found a significant positive correlation between social support and prosocial behavior. Tests of the moderating effects indicated that the relationship between social support and prosocial behavior was moderated by year of publication, source of social support, measurement of social support and measurement of prosocial behavior. In summary, social support plays an important role in prosocial behavior, and exploring their relationship is beneficial to families, schools and society in guiding individuals' prosocial behavior.

Innovative Statistical Model Uncover Effective Herbal Medicines Among Personalized Treatment Plans in Persian Medicine: A Small-Scale Study in Type 2 Diabetes

Objectives: In holistic medicine, developing personalized treatment plans is challenging due to the multitude of possible therapy combinations. This study introduces the use of a statistical approach to identify the most effective herbal medicines prescribed in Persian medicine (PM) in a small-scale sample of patients with type 2 diabetes mellitus (T2DM). Methods: This prospective observational cohort study was conducted with 47 patients with T2DM referred to Behesht Clinic in Tehran, Iran. A physician prescribed individualized PM treatment for T2DM and related systemic issues. The fasting blood sugar (FBS) level of each patient was recorded at initial and two follow-up visits, with visit intervals and treatment modifications determined by patient health status. Patients who completed two follow-up visits were included in the final analysis (n = 27). Data were analyzed using R software. A general linear model was assumed for the mean response, along with an exponential covariance pattern model, to manage irregularly timed measurements. Results: Two fitted models showed that, after adjusting for confounders, the use of the "Diabetes Capsule" significantly reduced the average FBS by 17.14 mmol/L (p = 0.046). For each unit increase in the consumption of "Diabetes Capsule" or "Hab-e-Amber Momiai," the average FBS decreased by 15.22 mmol/L (p = 0.015) and 14.14 mmol/L (p = 0.047), respectively. Conclusion: It is possible to observe which medications are most effective, even when treatments are applied in a holistic and personalized fashion. Preliminary studies such as these may identify promising products for testing in clinical trials conducted under standardized conditions, to inform initial choices for future personalized treatments.

Characteristics of attrition within the SuperMIX cohort of people who inject drugs: a multiple event discrete-time survival analysis

BACKGROUND

Compared to the general population, people who inject drugs have poor health and wellbeing. Longitudinal studies can provide insight into factors driving these worse health outcomes but are subject to methodological challenges, such as cohort attrition. The aim of this study was to assess and characterise attrition in a prospective cohort of people who inject drugs in Victoria, Australia.

METHODS

Using annually collected self-reported data from The Melbourne Injecting Drug User Cohort Study (SuperMIX) from September 2008 to January 2021, we estimated the incidence of participants being lost-to-follow-up (LTFU), with an episode of being LTFU defined as participants not undertaking a follow-up interview within two years of their last interview. We utilised a multiple event discrete-time survival analysis on participant period-observation data to estimate the associations between key factors and LTFU. Key areas of exposure measurement in analyses were sociodemographic, drug use and mental health.

RESULTS

A total of n = 1328 SuperMIX participants completed a baseline interview, with n = 489 (36.8%) LTFU, i.e. not completing a follow-up interview in the following two years. Increased attrition was observed among SuperMIX participants who were: born outside Australia, younger than 30 years, reporting having completed fewer years of education, not residing in stable accommodation, not in stable employment and not on opioid agonist therapy (OAT).

CONCLUSIONS

The attrition rate of the SuperMIX cohort has largely been stable throughout the duration of the study. Higher attrition rates among individuals at greater sociodemographic disadvantage and not on OAT suggest that additional efforts are required to retain these participants. Findings also suggest that SuperMIX might not be capturing data on adverse health and wellbeing outcomes among subpopulations at high risk of harm.

A thematic analysis of the subjective experiences of mothers with borderline personality disorder who completed Mother-Infant Dialectical Behaviour Therapy: a 3-year follow-up

BACKGROUND

Perinatal borderline personality disorder (BPD) is a common condition in perinatal mental health settings with few specialised treatment options, and little is known about the enduring effects of available treatment programs. This study explored the follow-up experiences of women with BPD after completing Mother-Infant Dialectical Behaviour Therapy (MI-DBT).

METHODS

Semi-structured interviews were conducted with eight women who had completed MI-DBT 3 years prior. Reflexive Thematic Analysis was used to analyse the interviews to gain a richer understanding of these mothers' lived experience.

RESULTS

A thematic analysis generated four main themes which indicated that participants found that MI-DBT improved their ability to hold their child in mind, be aware of their own internal state and behaviours, manage their own emotional reactions and stay calm, and manage interpersonal interactions within adult relationships. Mothers with perinatal borderline personality disorder also highlighted the need for ongoing support in the context of parenting.

CONCLUSIONS

This study is the first of its kind to explore the longer-term experiences of mothers following such an intervention, giving voice to this vulnerable group of women. The findings of this study provide a greater understanding of the complex challenges experienced as part of parenting for mothers with borderline personality disorder, and provides both insight into mothers' experiences of life after MI-DBT and the impact of the program on their lives. The clinical and research implications of the study's findings are discussed.

TRIAL REGISTRATION

This research was retrospectively registered on 07/03/2024, ACTRN12624000225516.

Utilizing machine learning to predict participant response to follow-up health surveys in the Millennium Cohort Study

The Millennium Cohort Study is a longitudinal study which collects self-reported data from surveys to examine the long-term effects of military service. Participant nonresponse to follow-up surveys presents a potential threat to the validity and generalizability of study findings. In recent years, predictive analytics has emerged as a promising tool to identify predictors of nonresponse. Here, we develop a high-skill classifier using machine learning techniques to predict participant response to follow-up surveys of the Millennium Cohort Study. Six supervised algorithms were employed to predict response to the 2021 follow-up survey. Using latent class analysis (LCA), we classified participants based on historical survey response and compared prediction performance with and without this variable. Feature analysis was subsequently conducted on the best-performing model. Including the LCA variable in the machine learning analysis, all six algorithms performed comparably. Without the LCA variable, random forest outperformed the benchmark regression model, however overall prediction performance decreased. Feature analysis showed the LCA variable as the most important predictor. Our findings highlight the importance of historical response to improve prediction performance of participant response to follow-up surveys. Machine learning algorithms can be especially valuable when historical data are not available. Implementing these methods in longitudinal studies can enhance outreach efforts by strategically targeting participants, ultimately boosting survey response rates and mitigating nonresponse.

Gut Microbiota-Derived Metabolites and Their Role in the Pathogenesis of Necrotizing Enterocolitis in Preterm Infants: A Narrative Review

Background: Necrotizing enterocolitis (NEC) is a severe gastrointestinal disease that occurs predominantly in premature infants and is characterized by the inflammation and necrosis of the intestine, showing high morbidity and mortality rates. Despite decades of research efforts, a specific treatment is currently lacking, and preventive strategies are the mainstays of care. This review aims to help understand the complex interplay between gut microbiota and their metabolites in NEC pathogenesis. In particular, we focused on how these factors can influence gut health, immune responses, and intestinal barrier integrity. Discussion: Current research has increasingly focused on the role of the gut microbiota and their metabolites in NEC pathogenesis, thanks to their involvement in modulating gut health, immune responses, and intestinal barrier integrity. Conclusions: A deeper understanding of the interplay between gut microbiota and their metabolites is essential for developing personalized strategies to prevent NEC. By targeting these microbial interactions, new therapeutic approaches may emerge that offer improved outcomes for preterm infants at a high risk of NEC.

Drinking to Cope With the COVID-19 Pandemic Mediates Pathways From COVID-19 Anxiety to Alcohol Use and Alcohol Myopia Consequences

OBJECTIVE

People may consume alcohol to cope with the stressors and anxieties of the COVID-19 pandemic. The present study applied the self-medication hypothesis, tension reduction hypothesis, and alcohol myopia theory to understand COVID-19 alcohol coping as a mediator of the pathways from COVID-19 anxiety to alcohol use and alcohol consequences.

METHODS

Participants (N = 477) were undergraduate college students. The mean age was 22.14 (SD = 5.66) years. Gender distribution included 73% females, 26% males, and 1% transgender. Racial categories included 70% White, 11% Latino, 5% Black, 5% Asian, and 9% multiracial. They completed the Coronavirus Anxiety Scale, the COVID-19 Alcohol Coping Scale developed and validated in the present study, measures of drinking frequency and drinking quantity, and the Alcohol Myopia Scale to assess alcohol consequences.

RESULTS

First, confirmatory factor analysis supported the measurement structure of the COVID-19 Alcohol Coping Scale. Second, a general structural equation model containing only latent factors provided evidence for the following pathways: COVID-19 anxiety to COVID-19 alcohol coping to overall alcohol use to alcohol myopia consequences. Third, a specific structural equation model separated the overall alcohol use factor into two measures of drinking frequency and drinking quantity. Results found that COVID-19 alcohol coping uniquely explained drinking frequency (but not drinking quantity), indicating that the pursuit of alcohol to cope with the pandemic was related to more frequent days of alcohol use but not more concentrated use on drinking days. Tests of indirect effects corroborated the mediational pathways in the explanatory models.

CONCLUSIONS

The research offers insights into understanding that the risk connections from COVID-19 anxiety to alcohol behavioral outcomes are mediated by alcohol use to cope with the pandemic.

Nurturing Longitudinal Samples 2.0

BACKGROUND

While longitudinal designs can provide significant advantages compared to single measurement/cross sectional designs, they require careful attention to study infrastructure and the risk of attrition among the sample over multiple time points.

OBJECTIVE

The strategies used to design and manage an appropriate infrastructure for a longitudinal study and approaches to retain samples are explored using examples from 2 studies, a 25-year study of persons living with multiple sclerosis and a 10-year longitudinal follow-up of breast cancer survivors.

RESULTS

Key strategies (developing appropriate infrastructure, minimizing costs to participants, and maximizing rewards of study participation) have helped address the serious threat of attrition in these longitudinal samples.

CONCLUSION

Implementation of these strategies can help mitigate some of the disadvantages and leverage the strengths of longitudinal research to produce reliable, insightful, and impactful outcomes.

Social support moderates association between area deprivation index and changes in physical health among adults in the Baltimore Study of Black Aging (BSBA)

Despite the association of neighborhood quality with poorer adult health, limited research has explored the association between neighborhood disadvantage, e.g. Area Deprivation Index (ADI), and older Black adults' health, prospectively. This observational study examined the association between ADI and changes in longitudinal physical health within older Black adults. The analytic sample (n = 317) included data from waves 1 & 2 of the Baltimore Study of Black Aging: Patterns of Cognitive Aging (BSBA-PCA). Study variables included the Area Deprivation Index (ADI), objective (e.g. average heart rate) and subjective (e.g. activities of daily living) measures of physical health. Multiple linear regression models were conducted controlling for sociodemographic and social support characteristics. Participants living in more disadvantaged neighborhoods, based on national and state ADIs, were more likely to have a decreasing heart rate even after adjusting for covariates. Likewise, participants reporting increasing levels of ADL difficulty were living in a neighborhood with greater disadvantage based on national and state ADI rankings. Significant social support received and ADI (national and state) interactions were observed for average heart rate. The findings suggest that research on the effect of neighborhood quality and social support can enhance our understanding of its impact on older Black adults' health prospectively.

Exploring the association between melatonin and nicotine dependence (Review)

Due to the addictive qualities of tobacco products and the compulsive craving and dependence associated with their use, nicotine dependence continues to be a serious public health concern on a global scale. Despite awareness of the associated health risks, nicotine addiction contributes to numerous acute and chronic medical conditions, including cardiovascular disease, respiratory disorders and cancer. The nocturnal secretion of pineal melatonin, known as the 'hormone of darkness', influences circadian rhythms and is implicated in addiction‑related behaviors. Melatonin receptors are found throughout the brain, influencing dopaminergic neurotransmission and potentially attenuating nicotine‑seeking behavior. Additionally, the antioxidant properties of melatonin may mitigate oxidative stress from chronic nicotine exposure, reducing cellular damage and lowering the risk of nicotine‑related health issues. In addition to its effects on circadian rhythmicity, melatonin acting via specific neural receptors influences sleep and mood, and provides neuroprotection. Disruptions in melatonin signaling may contribute to sleep disturbances and mood disorders, highlighting the potential therapeutic role of melatonin in addiction and psychiatric conditions. Melatonin may influence neurotransmitter systems involved in addiction, such as the dopaminergic, glutamatergic, serotonergic and endogenous opioid systems. Preclinical studies suggest the potential of melatonin in modulating reward processing, attenuating drug‑induced hyperactivity and reducing opioid withdrawal symptoms. Chronotherapeutic approaches targeting circadian rhythms and melatonin signaling show promise in smoking cessation interventions. Melatonin supplementation during periods of heightened nicotine cravings may alleviate withdrawal symptoms and reduce the reinforcing effects of nicotine. Further research is required however, to examine the molecular mechanisms underlying the melatonin‑nicotine association and the optimization of therapeutic interventions. Challenges include variability in individual responses to melatonin, optimal dosing regimens and identifying biomarkers of treatment response. Understanding these complexities could lead to personalized treatment strategies and improve smoking cessation outcomes.

A theoretical framework for linking hospitals longitudinally: demonstrated using German Hospital Quality Reports 2016-2020

BACKGROUND

In longitudinal health services research, hospital identification using an ID code, often supplemented with several additional variables, lacks clarity regarding representativeness and variable influence. This study presents an operational method for hospital identity delimitation and a novel longitudinal identification approach, demonstrated using a case study.

METHODS

The conceptualisation considers hospitals as evolving entities, identifying "similar enough" pairs across two time points using an automated similarity matrix. This method comprises key variable selection, similarity scoring, and tolerance threshold definition, tailored to data source characteristics and clinical relevance. This linking method is tested by applying the identification of minimum caseload requirements-related German hospitals, utilizing German Hospital Quality Reports (GHQR) 2016-2020.

RESULTS

The method achieved a success rate (min: 97.9% - max: 100%, mean: 99.9%) surpassing traditional hospital ID-code linkage (min: 91.5% - max: 98.8%, mean: 96.6%), with a remarkable 99% reduction in manual work through automation.

CONCLUSIONS

This method, rooted in a comprehensive understanding of hospital identities, offers an operational, automated, and customisable process serving diverse clinical topics. This approach has the advantage of simultaneously considering multiple variables and systematically observing temporal changes in hospitals. It also enhances the precision and efficiency of longitudinal hospital identification in health services research.

Effects of Swimming Exercise on Early Adolescents' Physical Conditioning and Physical Health: A Systematic Review

BACKGROUND/OBJECTIVES

Swimming is a popular and cost-effective way to prevent sedentary behavior and improve physical conditioning and health during early adolescence. However, information on its impact and benefits on daily life activities is lacking. This systematic review aims to summarize the chronic effects of swimming on physical conditioning and physical health outcomes in early adolescents.

METHODS

The PRISMA 2020 guidelines were followed and PubMed, Scopus, Web of Science, and International Symposium of Biomechanics and Medicine in Swimming proceedings databases were searched. Eligibility criteria were defined on the PICOS framework (healthy adolescents in early puberty, swimming programmes or training, passive or active control groups, general effects on physical conditioning or health, longitudinal) and risk of bias was assessed using RoBANS 2.

RESULTS

From 2365 records, 20 non-randomized studies met the defined criteria. High heterogeneity in sample size and intervention was observed. While studies related to physical conditioning (n = 5) focused on physiological variables and muscular function, the evidence regarding physical health outcomes (n = 15) explored bone accrual, haemodynamics, body composition, musculoskeletal system, and lung growth. High overall risk of bias (70%) was observed due to strict criteria.

CONCLUSIONS

Swimming exercise seems to improve cardiorespiratory fitness, cardiac output, haemodynamics, heart growth, motor performance, and body composition of early adolescents. Despite clear evidence that exists on these chronic effects, research on bone health, postural deficit, motor skills, and sleep quality is still missing.

Beyond medications: a multifaceted approach to alleviating comorbid anxiety and depression in clinical settings

Background

Comorbid anxiety and depression are common and can make the problems more complex and sometimes resistant to pharmacological treatment. In existing research, the diagnoses are often studied separately, and physical activity, healthy nutrition, psychoeducation, and social support have shown good effects. The aim of the present study was to explore the longitudinal effects of a comprehensive treatment on patients with comorbid anxiety and depression in a clinical context.

Method

Eighty inpatients (15 men and 65 women) in age range 23-65 years receiving psychiatric treatment in Norwegian clinic participated in the longitudinal study. Treatment was person-centered and was most frequently given for anxiety and depression, e.g., pharmacological treatment and psychotherapy, individually and in groups. In combination with this, physical activity, healthy nutrition, psychoeducation and social support in contacts with authorities and relatives were also a part of treatment. Depression and anxiety were assessed using the Beck Anxiety Inventory and Beck Depression Inventory at three points in time: baseline, at the end of treatment, and 3 months after treatment. The answers were categorized and combined into four groups according to severity of anxiety and depression to measure effects on comorbidity. Mann Whitney U test, Chi-square, Friedmans test, and McNemar test were used to analyze the data.

Result

The results showed a significant increase of frequencies in the group with mild anxiety and depression 3 months past treatment compared to baseline.

Conclusion

Through the comprehensive, person-centered treatment more patients had low levels of both anxiety and depression 3 months after treatment. We suggest that clinics working with comorbid depression and anxiety patients should add physical activity, nutrition advice, social support, and psychoeducation to the traditional treatment regimes. More research concerning comorbid anxiety and depression are urgent to further expand the treatment possibilities.

Understanding and Treating Nightmares: A Comprehensive Review of Psychosocial Strategies for Adults and Children

Nightmares are distressing dreams that evoke strong negative emotions, such as fear or anxiety, often leading to waking from sleep and subsequent sleep disruption. They are prevalent across various age groups, with significant psychological and physiological health implications. This review explores the nature of nightmares, distinguishing them from other sleep disturbances like night terrors and sleep paralysis. It examines the prevalence of nightmares in children and adults, highlighting their impact on mental health and daily functioning. The review also emphasizes the importance of addressing nightmares through effective treatment strategies. While pharmacological options are available, psychosocial interventions offer promising non-pharmacological solutions. Cognitive behavioral therapy (CBT), imagery rehearsal therapy (IRT), and mindfulness-based therapies are discussed as key approaches for managing nightmares. These strategies focus on altering maladaptive thought patterns and emotional responses, reducing nightmares' frequency and intensity, and improving overall sleep quality. Psychosocial interventions provide a comprehensive approach to treating nightmares by addressing the underlying cognitive and emotional factors, benefitting individuals across different age groups. This review aims to highlight the efficacy of these strategies and their role in enhancing the quality of life for those affected by persistent nightmares.

A report card assessment of the prevalence of healthy eating among preschool-aged children: a cross-cultural study across Australia, Hong Kong, Singapore, and the US

Objective

This study aimed to initially adopt an International Healthy Eating Report Card for Preschool-Aged Children to assess the prevalence of healthy eating behaviours and favourable family home food environments (FHFEs) among preschool-aged children in Australia, Hong Kong, Singapore, and the US. We also examined which cultural contexts would exhibit significant differences in the report card scores among the four cultural contexts.

Methods

In this cross-cultural study, 2059 parent-child dyads, with approximately 500 dyads in each cultural context, were recruited. The parents were asked to complete the validated International Healthy Eating Report Card Scale to assess the dimensions of the Report Card [i.e., Indicator of Children's Eating Behaviours: (1) Children's Dietary Patterns and (2) Children's Mealtime Behaviours, and Indicator of FHFEs: (3) Parental Food Choices and Preparation, (4) Home Healthier Food Availability and Accessibility and (5) Family Mealtime Environments]. Each indicator received a letter grade [i.e., A (≥80%) = excellent, B (60-79%) = good, C (40-59%) = fair, D (20-39%) = poor, F (<20%) = very poor and including the plus (+) and minus (-) signs] to represent the proportion of participants who could meet the predefined benchmarks. We also employed ANCOVA and Bonferroni's post-hoc test to examine the differences in the report card scores between the four cultural contexts. A significance level was set at p < 0.05.

Results

The average overall report card grade across the four cultural contexts was "B-" (Good), ranging from "C+" (Singapore and the US) to "B-" (Australia and Hong Kong). The average grade for Children's Eating Behaviours was classified as Fair ("C-"), while the average grade for FHFEs was classified as Good ("B+") for all cultural contexts. A comparison of the overall report card scores revealed that Australia exhibited a significantly higher report card score than Singapore and the US, while Hong Kong achieved a significantly higher score than Singapore.

Conclusion

The International Healthy Eating Report Card provided an overview of the prevalence of healthy eating in different cultural contexts. We believe that the International Healthy Eating Report Card may offer new perspectives on interventions for fostering healthy eating in young children.

Patient satisfaction with Saudi community pharmacy services (Wasfaty System)

Introduction

The healthcare system in KSA has been substantially transformed as part of Vision 2030, including implementation of an electronic prescribing system, called Wasfaty, to enable patients to receive their prescriptions from community pharmacies (CPs). This study assessed patient satisfaction with CPs and the Wasfaty system.

Methods

This cross-sectional observational study used existing data from the Saudi Ministry of Health's patient experience program. Data were collected from patients (≥15 years of age) visiting governmental primary care clinics in 2022. Summary statistics were determined and multivariable logistic regression analyses were conducted.

Results

The sample included 66,541 patients. More than 70% of patients were satisfied with the services of the CPs and the Wasfaty system. Being older and being female consistently showed a positive association with satisfaction across several services. Whereas patients in preventive clinics had higher odds of satisfaction with medication availability (OR: 1.19, 95% CI: 1.03-1.37) and waiting time (OR: 1.23; 95% CI: 1.03-1.47), patients in chronic disease clinics had lower satisfaction with medication availability (OR: 0.92, 95% CI: 0.85-0.99). Saudi patients had lower odds of being satisfied with multiple services.

Conclusions

The overall high satisfaction among patients suggested the success of the Wasfaty system in meeting patient needs and expectations. However, areas for improvement exist to increase patient satisfaction, such as addressing medication shortages and ensuring clear patient-pharmacist communication. The results highlight the importance of continued monitoring and evaluation to support the patient experience with pharmacy services, and to improve patients' journeys, medication adherence, and overall healthcare outcomes.

Effects of Immersive Technology-Based Education for Undergraduate Nursing Students: Systematic Review and Meta-Analysis Using the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) Approach

BACKGROUND

The adoption of immersive technology in simulation-based nursing education has grown significantly, offering a solution to resource limitations and enabling safe access to clinical environments. Despite its advantages, there are still diverse reports regarding the effectiveness of immersive technology. It is crucial to verify the effectiveness of immersive technology in nursing education to inform future educational programs.

OBJECTIVE

This systematic review aimed to identify the contents of immersive technology-based education for undergraduate nursing students and evaluate the effectiveness of immersive technology compared to traditional teaching methods.

METHODS

A literature search was performed using 4 databases: PubMed, CINAHL, Embase, and Web of Science; the latest search was completed on January 19, 2023. The inclusion criteria were as follows: participants were undergraduate nursing students; studies were published in Korean or English; designs included randomized controlled trials (RCTs) or nonrandomized studies; and interventions involved virtual reality (VR), augmented reality (AR), mixed reality, or extended reality. Quality assessment was conducted using Cochrane Risk-of-Bias Tool version 2 for RCTs and the Risk-of-Bias Assessment Tool for Nonrandomized Studies. The main outcomes of the included studies were classified according to the New World Kirkpatrick Model (NWKM), ranging from level 1 (reaction) to level 4 (results). Meta-analysis was conducted using RevMan 5.4 software, and subgroup analysis was conducted due to heterogeneity of the results of the meta-analysis. The Grading of Recommendations, Assessment, Development, and Evaluation approach was adopted for assessing certainty and synthesizing results of the relevant literature.

RESULTS

A total of 23 studies were included, with participant numbers ranging from 33 to 289. Of these, 19 (82.6%) studies adopted VR to simulate various nursing scenarios, including disaster training, resuscitation, health assessments, and home health care; 4 (17.4%) studies used AR technologies; and 15 (65.2%) studies involved virtual patients in their scenarios. Based on the NWKM, the main outcome variables were classified as level 1 (usability and satisfaction), level 2 (knowledge, motivation, confidence, performance, attitude, and self-efficacy), and level 3 (clinical reasoning); level 4 outcomes were not found in the selected studies. Results of the subgroup analysis showed that immersive technology-based nursing education is more effective than traditional education in knowledge attainment (standard mean difference [SMD]=0.59, 95% CI 0.28-0.90, P<.001, I2=49%). Additionally, there were significant difference differences between the experimental and control group in confidence (SMD=0.70, 95% CI 0.05-1.35, P=.03, I2=82%) and self-efficacy (SMD=0.86, 95% CI 0.42-1.30, P<.001, I2=63%).

CONCLUSIONS

These findings support the effectiveness of immersive technology-based education for undergraduate nursing students, despite heterogeneity in methods and interventions. We suggest that long-term cohort studies be conducted to evaluate the effects of immersive technology-based nursing education on NWKM level 4.

Association of Alzheimer's disease polygenic risk score with concussion severity and recovery metrics

Identification of genetic alleles associated with both Alzheimer's disease (AD) and concussion severity/recovery could help explain the association between concussion and elevated dementia risk. However, there has been little investigation into whether AD risk genes associate with concussion severity/recovery, and the limited findings are mixed. We used AD polygenic risk scores (PRS) and APOE genotypes to investigate any such associations in the NCAA-DoD Grand Alliance CARE Consortium (CARE) dataset. We assessed six outcomes in 931 total participants. The outcomes were two concussion recovery measures (number of days to asymptomatic status, number of days to return to play (RTP)) and four concussion severity measures (scores on SAC and BESS, SCAT symptom severity, and total number of symptoms). We calculated PRS using a published score [1] and performed multiple linear regression (MLR) to assess the relationship of PRS with the outcomes. We also used t-tests and chi-square tests to examine outcomes by APOE genotype, and MLR to analyze outcomes in European and African genetic ancestry subgroups. Higher PRS was associated with longer injury to RTP in the normal RTP (<24 days) subgroup ( p = 0.024), and one standard deviation increase in PRS resulted in a 9.89 hour increase to the RTP interval. There were no other consistently significant effects, suggesting that high AD genetic risk is not strongly associated with more severe concussions or poor recovery in young adults. Future studies should attempt to replicate these findings in larger samples with longer follow-up using PRS calculated from diverse populations.

Fathers Nutrition Knowledge and Child Feeding Practices Associated with Childhood Overweight and Obesity: A Scoping Review of Literature From 2000 to 2023

Objective. Childhood overweight/obesity is a serious global public health issue, demanding parental involvement to reverse trends. Despite fathers' crucial parenting roles, research on fathers and childhood overweight/obesity is limited. This scoping review examines the literature on fathers' nutrition knowledge and feeding practices with childhood overweight/obesity. Methods. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, and Arksey and O'Malley (2005) framework, multiple databases were searched. Eligible father-child related studies focused on fathers' nutrition knowledge, feeding practices, and childhood overweight/obesity. Results. Of 26 eligible articles, 52% originated from the United States, and 44% focused on father-child dyads. Most studies were cross-sectional (64%) and survey-based (68%). Further, 11.5% assessed fathers' nutrition knowledge, and child feeding practices (53.4%). Conclusion. Literature on fathers' nutrition knowledge and feeding practices concerning childhood overweight/obesity is limited. Scaling-up fathers' inclusion in childhood nutrition research is encouraged for the design of holistic interventions.

New immune phenotypes for treatment response in high-grade serous ovarian carcinoma patients

Despite advances in surgical and therapeutic approaches, high-grade serous ovarian carcinoma (HGSOC) prognosis remains poor. Surgery is an indispensable component of therapeutic protocols, as removal of all visible tumor lesions (cytoreduction) profoundly improves the overall survival. Enhanced predictive tools for assessing cytoreduction are essential to optimize therapeutic precision. Patients' immune status broadly reflects the tumor cell biological behavior and the patient responses to disease and treatment. Serum cytokine profiling is a sensitive measure of immune adaption and deviation, yet its integration into treatment paradigms is underexplored. This study is part of the IMPACT trial (NCT03378297) and aimed to characterize immune responses before and during primary treatment for HGSOC to identify biomarkers for treatment selection and prognosis. Longitudinal serum samples from 22 patients were collected from diagnosis until response evaluation. Patients underwent primary cytoreductive surgery or neoadjuvant chemotherapy (NACT) based on laparoscopy scoring. Twenty-seven serum cytokines analyzed by Bio-Plex 200, revealed two immune phenotypes at diagnosis: Immune High with marked higher serum cytokine levels than Immune Low. The immune phenotypes reflected the laparoscopy scoring and allocation to surgical treatment. The five Immune High patients undergoing primary cytoreductive surgery exhibited immune mobilization and extended progression-free survival, compared to the Immune Low patients undergoing the same treatment. Both laparoscopy and cytoreductive surgery induced substantial and transient changes in serum cytokines, with upregulation of the inflammatory cytokine IL-6 and downregulation of the multifunctional cytokines IP-10, Eotaxin, IL-4, and IL-7. Over the study period, cytokine levels uniformly decreased in all patients, leading to the elimination of the initial immune phenotypes regardless of treatment choice. This study reveals distinct pre-treatment immune phenotypes in HGSOC patients that might be informative for treatment stratification and prognosis. This potential novel biomarker holds promise as a foundation for improved assessment of treatment responses in patients with HGSOC. ClinicalTrials.gov Identifier: NCT03378297.

Comparison of Long-Term Healthcare Cost and Utilisation of Nonoperative and Surgical Management of Thumb CMC Arthritis

Background: Thumb carpometacarpal joint (CMC) osteoarthritis is the most symptomatic hand arthritis but the long-term healthcare burden for managing this condition is unknown. We sought to compare total healthcare cost and utilisation for operative and nonoperative treatments of thumb CMC arthritis. Methods: We conducted a retrospective longitudinal analysis using a large nationwide insurance claims database. A total of 18,705 patients underwent CMC arthroplasty (trapeziectomy with or without ligament reconstruction tendon interposition) or steroid injections between 1 October 2015 and 31 December 2018. Primary outcomes, healthcare utilisation and costs were measured from 1 year pre-intervention to 3 years post-intervention. Generalised linear mixed effect models adjusted for potentially confounding factors such as the Elixhauser comorbidity score with propensity score matching were applied to evaluate the association between the primary outcomes and treatment type. Results: A total of 13,646 patients underwent treatment through steroid injections, and 5,059 patients underwent CMC arthroplasty. At 1 year preoperatively, the surgery group required $635 more healthcare costs (95% CI [594.28, 675.27]; p < 0.001) and consumed 42% more healthcare utilisation (95% CI [1.38, 1.46]; p < 0.0001) than the steroid injection group. At 3 years postoperatively, the surgery group required $846 less healthcare costs (95% CI [-883.07, -808.51], p < 0.0001) and had 51% less utilisation (95% CI [0.49, 0.53]; p < 0.0001) annually. Cumulatively over 3 years, the surgical group on average was $4,204 costlier than its counterpart secondary to surgical costs. Conclusions: CMC arthritis treatment incurs high healthcare cost and utilisation independent of other medical comorbidities. At 3 years postoperatively, the annual healthcare cost and utilisation for surgical patients were less than those for patients who underwent conservative management, but this difference was insufficient to offset the initial surgical cost. Level of Evidence: Level III (Therapeutic).

Hypertension in Pregnancy: Current Challenges and Future Opportunities for Surveillance and Research

Hypertension in pregnancy (HP) includes eclampsia/preeclampsia, chronic hypertension, superimposed preeclampsia, and gestational hypertension. In the United States, HP prevalence doubled over the last three decades, based on birth certificate data. In 2019, the estimated percent of births with a history of HP varied from 10.1% to 15.9% for birth certificate data and hospital discharge records, respectively. The use of electronic medical records may result in identifying an additional third to half of undiagnosed cases of HP. Individuals with gestational hypertension or preeclampsia are at 3.5 times higher risk of progressing to chronic hypertension and from 1.7 to 2.8 times higher risk of developing cardiovascular disease (CVD) after childbirth compared with individuals without these conditions. Interventions to identify and address CVD risk factors among individuals with HP are most effective if started during the first 6 weeks postpartum and implemented during the first year after childbirth. Providing access to affordable health care during the first 12 months after delivery may ensure healthy longevity for individuals with HP. Average attendance rates for postpartum visits in the United States are 72.1%, but the rates vary significantly (from 24.9% to 96.5%). Moreover, even among individuals with CVD risk factors who attend postpartum visits, approximately 40% do not receive counseling on a healthy lifestyle. In the United States, as of the end of September 2023, 38 states and the District of Columbia have extended Medicaid coverage eligibility, eight states plan to implement it, and two states proposed a limited coverage extension from 2 to 12 months after childbirth. Currently, data gaps exist in national health surveillance and health systems to identify and monitor HP. Using multiple data sources, incorporating electronic medical record data algorithms, and standardizing data definitions can improve surveillance, provide opportunities to better track progress, and may help in developing targeted policy recommendations.

A systematic review of the association between history of sexually transmitted infections and subsequent condom use in adolescents

Sexually transmitted infections (STIs) are common among adolescents. According to the Health Belief Model, cues to action influence preventive behaviors. Cues to action can include health experiences such as being diagnosed with an STI. The impact of a history of STIs on subsequent condom use among adolescents remains largely unexamined, despite high rates of recurrence and their health impacts. This project aimed to systematically review the literature on the association between curable STIs and subsequent condom use among adolescents. The systematic review, reported following PRISMA guidelines, was conducted using the Joanna Briggs Institute method. Eligible studies, in the form of cohort studies, case-control studies, or cross-sectional studies, targeted adolescents aged 10 to 24, with or without a history of curable STIs; the outcome was subsequent condom use. MEDLINE (Ovid), Embase (Elsevier), and Web of Science were searched from January 2012 to December 2022 with the assistance of an information specialist. Two reviewers independently selected articles and extracted data. Risk of bias analysis was performed using ROBINS-E. The review explores results, with tables, based on population characteristics, exposure, and outcome, and addresses the influence of gender, ethnicity, and age. Of 3088 articles identified, seven studies were retained. Almost all the studies focused on African-American, Nigerian, or Rwandan adolescents, and several included only girls. Among girls, a history of STI increased subsequent condom use in combination with other contraceptive methods (n = 4). Among boys and older adolescents of both genders, a history of STI was associated with a decrease in condom use (n = 3). No study distinguished between different STIs. While all the studies (n = 7) presented a high risk of bias, six did not present a threat to conclusion validity. All the studies indicated that a history of STI could influence subsequent protective behaviors, possibly by acting as a cue to action, as posited by the Health Belief Model. This information enhances our understanding of factors leading to the adoption of preventive health measures among adolescents and could apply to other infectious experiences.Registration The protocol is registered in PROSPERO (CRD42023397443).

An assessment tool for the international healthy eating report card for preschool-aged children: a cross-cultural validation across Australia, Hong Kong, Singapore, and the United States

Objective

This study aimed to develop and validate a globally applicable assessment tool of the 43-item International Healthy Eating Report Card Scale (IHERCS) which was designed to assess preschool-aged children's eating behaviours and family home food environments (FHFEs) across different cultural settings. In particular, we examined the factor structure, internal consistency and measurement invariance of the IHERCS across four cultural samples, including Australia, Hong Kong, Singapore, and the US. Convergent and discriminant validity were then conducted.

Methods

In this cross-cultural study, a total of 2059 parent-child dyads from these four regions were recruited, and the parents were asked to complete the IHERCS. An exploratory structural equational modelling approach was employed to examine two higher-order factor models of children's eating behaviours and FHFEs in the IHERCS and its cross-cultural measurement invariance.

Results

The findings demonstrated robust factor structures of the scales of children's eating behaviours and FHFEs in the IHERCS (i.e., CFI and TLI > 0.90; RMSEA and SRMR < 0.08) and an acceptable level of internal consistency (i.e., Cronbach's α = 0.55-0.84). Full configural invariance and metric invariance were established across the four cultural contexts, but full scalar invariance was not achieved. Partial scalar invariance was found only in the scale of FHFEs. The convergent validity and discriminant validity were supported.

Conclusion

Overall, the current findings provided preliminary support for the construct validity and measurement invariance of the IHERCS. It provides a reliable, valid and comprehensive assessment of eating behaviours and FHFEs among children in different cultural settings.