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Nevin Manimala Statistics

Impact of a Trauma-Informed Intervention on Psychosocial and HIV Treatment Outcomes Among Older Adults Living with HIV: A Pilot Study

AIDS Behav. 2026 Apr 30. doi: 10.1007/s10461-026-05148-9. Online ahead of print.

ABSTRACT

A childhood sexual abuse (CSA) history is more prevalent among people living with HIV and may have lingering effects among older adults living with HIV (OALH). However, studies examining the impact of trauma-informed interventions among OALH are scant. The aim of the study was to determine the preliminary effect of the Coping with Childhood Sexual Abuse, HIV, and Aging (CoSHA) intervention on depressive symptoms, coping and ART adherence among OALH. Data were obtained from 28 OALH recruited from an immunology clinic and an AIDS service organization in South Carolina. Generalized estimating equation (GEE) models were used to determine the preliminary effect of the intervention on depressive symptoms, coping and ART adherence among OALH from baseline to 6-week, 3- and 6- month follow-up using intention-to-treat analysis. The intervention reduced depressive symptoms over the 6-month period (B=-9.13, 95% CI: -10.3, -8.00). There were also positive changes in planning coping (B = 0.73, 95% CI: -0.08, -1.54) and religious coping (B = 1.13, 95% CI: -0.08, 2.34), and ART adherence (B = 15.2, 95% CI: -0.95, 31.3) but these were borderline statistically significant. Future research should determine the impact of the CoSHA intervention in a full randomized controlled trial.

PMID:42056642 | DOI:10.1007/s10461-026-05148-9

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Nevin Manimala Statistics

Bibliometric analysis of Alzheimer’s and dementia research in Latin America

Alzheimers Dement. 2026 May;22(5):e71395. doi: 10.1002/alz.71395.

ABSTRACT

INTRODUCTION: Dementia is increasing rapidly in Latin America and the Caribbean (LAC), but research output remains limited. Tracking publication trends, themes, and collaborations is key to guiding regional research and policy.

METHODS: Bibliometric analysis was conducted on dementia-related publications from 21 LAC countries (1990 to 2024) using Scopus. Thirteen keywords identified relevant articles, classified into themes through artificial intelligence (AI)-assisted and manual review. Bibliometrix and VOSviewer assessed publication trends, country and institutional output, and collaboration networks.

RESULTS: Of 201,939 worldwide publications, 6003 (3%) included at least one LAC-affiliated author. Brazil produced 49.9% of all dementia publications, followed by Argentina and Mexico. Clinical scenarios (15%) and basic science (14%) dominated thematic output. Mexico, Argentina, and Chile led regional collaboration efforts.

DISCUSSION: Despite growth, dementia research in LAC remains concentrated in a few countries, with major thematic gaps and uneven collaboration. Strengthening cross-country partnerships, broadening research themes, and increasing investment in applied and policy-focused studies are essential.

PMID:42056639 | DOI:10.1002/alz.71395

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Nevin Manimala Statistics

Chemical characteristics of rainwater and fine particulate matter (PM2.5) over an urban site in the middle Indo-Gangetic Plain

Environ Geochem Health. 2026 Apr 29;48(7):324. doi: 10.1007/s10653-026-03207-7.

ABSTRACT

Rainfall plays a key role in the removal of atmospheric pollutants (both particulate matter and gaseous pollutants) through wet scavenging and thus, the interaction between rain and atmospheric pollutants significantly influences the chemical composition of rainwater. Therefore, in this study, PM2.5 and rainwater samples were collected from an urban site in the middle Indo-Gangetic Plain, Varanasi (25.28° N, 82.96° E), India during January-December 2022. The water-soluble inorganic ions (WSIIs), as well as carbonaceous and nitrogenous species in PM2.5 and rainwater samples were analysed to understand their sources, seasonal variability, scavenging processes, and deposition fluxes. PM2.5 mass concentrations ranged from 15.5 to 279.3 µg m⁻3, with an annual mean of 91.6 ± 50.5 µg m⁻3, significantly exceeding the Indian NAAQS annual limit of 40 µg m⁻3. The total WSIIs (sum of concentrations of measured anions and cations) was 29.6 µg m⁻3 accounted for ~ 33% of the total PM2.5 mass and was dominated (66%) by secondary inorganic aerosols ( SO 4 2 , NO 3 and NH 4 + ), indicating strong anthropogenic influence. In rainwater, Ca2+, NH 4 + , and SO 4 2 were the major ions, contributing over 76% of total ionic content, with near-neutral pH (mean 6.6 ± 0.5) indicating effective neutralization by alkaline species. Seasonal variation showed higher ionic, dissolved organic carbon, and nitrogen concentrations during non-monsoon period, indicating pollutant accumulation under dry conditions whereas dilution during the monsoon. Wet deposition fluxes were consistently higher than dry deposition fluxes for all major ionic species. Relatively, high scavenging ratios, particularly for NO 3 and Ca2+, indicate efficient washout of both anthropogenic and crustal components, with below-cloud scavenging identified as the dominant mechanism. The relatively low NO 3 / SO 4 2 ratios in both rainwater (0.54) and PM2.5 (0.33) indicate predominant influence of stationary emission sources (e.g., coal/biomass burning and industrial emissions). Statistical analysis and diagnostic ratios further indicate contributions from biomass burning and anthropogenic activities (agriculture, vehicular emissions, and construction) for both rainwater and PM2.5 samples. Moreover, back-trajectory analysis supports the combined influence of local emissions and regional transport. Overall, our study demonstrates a strong coupling between PM2.5 composition and rainwater chemistry over the IGP and highlights the importance of wet deposition in controlling the overall deposition pattern over Varanasi.

PMID:42056635 | DOI:10.1007/s10653-026-03207-7

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Nevin Manimala Statistics

Weaving the rainbow: Color-blind color matching in cephalopods

Curr Opin Neurobiol. 2026 Apr 28;99:103206. doi: 10.1016/j.conb.2026.103206. Online ahead of print.

ABSTRACT

Cephalopod camouflage presents a longstanding paradox: many species appear to match the color of their surroundings, yet anatomical and behavioral evidence suggests they lack conventional color vision. Here I discuss behavioral, anatomical, optical, molecular, and ecological evidence bearing on this problem. I evaluate a range of proposed mechanisms that could reconcile color matching with monochromatic vision, including passive skin reflectance, chromatic aberration-based spectral inference, polarization vision, and extraocular photoreception. Each is found to be either insufficient or weakly supported by current data. I then consider the null hypothesis that cephalopods achieve effective color matching without color perception, drawing an analogy with machine vision systems that infer color from grayscale statistics. Cephalopod camouflage may rely on predictive mappings from luminance-based visual input to colored skin output, rather than on true color vision.

PMID:42054709 | DOI:10.1016/j.conb.2026.103206

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Nevin Manimala Statistics

Home- and Community-Based Service Use and Preferences Among Post-9/11 Veterans With or at High Risk of Alzheimer Disease and Related Dementia and Their Caregivers: Protocol for a Mixed Methods Observational Study

JMIR Res Protoc. 2026 Apr 29;15:e83629. doi: 10.2196/83629.

ABSTRACT

BACKGROUND: Veterans have an increased risk of developing Alzheimer disease and related dementia (ADRD) due to military exposures such as traumatic brain injury. There is a lack of information on home- and community-based services (HCBS) use among Veterans who served in the post-9/11 era and their caregivers.

OBJECTIVE: This study aims to (1) quantify HCBS use among post-9/11 Veterans with or at higher risk of ADRD, (2) identify facilitators, barriers, and preferences for HCBS among Veterans and family caregivers, and (3) prioritize HCBS interventions with input from Veterans and family caregivers.

METHODS: This study will include post-9/11 Veterans aged 65 years or younger with early-onset Alzheimer disease or frontotemporal dementia (current ADRD), and Veterans at elevated ADRD risk due to traumatic brain injury or cognitive dysfunction. Veterans’ family caregivers will also be recruited. Secondary data will come from the Department of Veterans Affairs (VA), the Department of Defense, and a previous neurotrauma study. Using VA data augmented with Centers for Medicare and Medicaid Services data, we will characterize HCBS utilization. To address aim 1, we will calculate the crude and adjusted cumulative frequency of HCBS use and the proportion of Veterans using a service among Veterans with ADRD, and those at higher and lower risk for ADRD. We will compare groups using t tests for continuous measures (number of services) and chi-square tests for categorical measures (any service use). To address aim 2, we will interview Veterans and caregivers to identify facilitators and barriers to HCBS use. We will use descriptive content analysis, including rich descriptions, coding, and theme identification. Finally, to address aim 3, we will use a modified Delphi approach to identify and rank HCBS modifications that would increase use. Using the ranking data, we will consider items to have consensus on high importance if 70% or more respond “important” or “very important.” Participants for primary data collection will be recruited from prior studies, VA health systems data, VA clinics, and Veteran- and caregiver-serving organizations.

RESULTS: This study was reviewed by the institutional review boards of the University of Utah, Salt Lake City Veterans Affairs, and UT Health at San Antonio and classified as exempt. The 46,053 Veterans in the preliminary aim 1 cohort (903 with early-onset Alzheimer disease/frontotemporal dementia and 45,150 at-risk Veterans matched on age and index year) averaged 55 years old at the index date and were mostly male (38,842/46,053, 84%) and non-Hispanic White (28,016/46,053, 61%).

CONCLUSIONS: This study will quantify current HCBS use and identify barriers and needs of Veterans with or at higher risk of ADRD and their caregivers. It will identify HCBS modifications that have consensus for needed changes, which will be shared with health system leaders.

PMID:42054703 | DOI:10.2196/83629

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Nevin Manimala Statistics

Comparative Efficacy and Safety of Osteobiologics in Posterior Lumbar Fusion: A Network Meta-Analysis of Randomized Controlled Trials

Global Spine J. 2026 Apr 29:21925682261447888. doi: 10.1177/21925682261447888. Online ahead of print.

ABSTRACT

Study DesignNetwork Meta-Analysis.ObjectiveTo compare the efficacy and safety of osteobiologics used in posterior lumbar spinal fusion (LSF) for degenerative lumbar disorders, setting autologous iliac crest bone graft (AICBG) as the reference standard.MethodsA systematic search of randomized controlled trials (RCTs) evaluating osteobiologics in adult patients undergoing posterior LSF was performed. Primary outcomes were radiologic fusion and osteobiologic-related complications. Secondary outcomes included disability, low back pain, operative time, blood loss, and length of stay (LOS). A frequentist random-effects network meta-analysis (NMA) was performed. Meta-regression was employed to assess the influence of surgical technique on primary outcomes. Risk of bias was evaluated using the Cochrane RoB-2 tool, and certainty of evidence was assessed with the GRADE framework.ResultsThirty-five RCTs including 2298 patients were analyzed. Compared with AICBG, recombinant human bone morphogenetic protein-2 (rhBMP-2) showed significantly higher fusion rates (OR 3.86; 95% CI 2.60-5.74; P < 0.0001) and lower complication risk (OR 0.50; 95% CI 0.34-0.73; P = 0.0004). Disability and pain outcomes were comparable across treatments. rhBMP-2 (MD -21.8 minutes; 95% CI -28.0 to -15.7; P < 0.0001), autologous local bone (MD -12.0 minutes; 95% CI -21.5 to -2.5; P = 0.0133), and ABM/P-15 (MD -17.0 minutes; 95% CI -32.6 to -1.5; P = 0.0322) were associated with shorter operative time. Only rhBMP-2 significantly decreased blood loss (MD -72.6 mL; 95% CI -118.9 to -26.4; P = 0.002), while no treatment reduced LOS.ConclusionsAmong evaluated osteobiologics, rhBMP-2 demonstrated superior efficacy and safety compared to AICBG in posterior LSF. Other agents showed favourable trends without statistical significance, reflecting persistent uncertainty rather than confirmed equivalence.

PMID:42054700 | DOI:10.1177/21925682261447888

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Nevin Manimala Statistics

Projected trends in frailty prevalence and associated health service use and costs in the over-50s in England, 2025 to 2040: a simulation modelling study

Age Ageing. 2026 Apr 4;55(4):afag109. doi: 10.1093/ageing/afag109.

ABSTRACT

AIM: To model projected trends in frailty prevalence, associated service use and costs in people aged 50 and over in England to 2040.

DESIGN: System dynamics simulation modelling.

SETTING: Adult population (aged 50 and over) of England.

PARTICIPANTS: Routine data from primary care patients aged 50 and over (2.2 million individuals) from participating practices from the Royal College of General Practitioners Research Surveillance Centre (RCGP RSC) database between 2006 and 2017.

OUTCOME MEASURES: Projected frailty prevalence, primary, secondary and urgent care service use and costs in those aged 50 and over between 2025 and 2040.

RESULTS: The population of England aged 50 and over is projected to increase from 23.1 million in 2025 to 24 million in 2040. Frailty prevalence in this group will rise from 70.2% to 76.1%, with associated service use costs increasing by £10 billion. Measures to reduce frailty incidence or progression could reduce costs by £310 million/annum and £644 million/annum, respectively.

CONCLUSIONS: Frailty prevalence and associated service use and costs will increase substantially in the ageing population. A shift in focus to prevention and slowing progression in middle age and the younger old would substantially reduce service use and costs by older people living with frailty.

PMID:42054699 | DOI:10.1093/ageing/afag109

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Rethinking Trust in Synthetic Health Data: Lessons From 7 European Research Initiatives

J Med Internet Res. 2026 Apr 29;28:e83369. doi: 10.2196/83369.

ABSTRACT

Synthetic data generation (SDG) structured health data is increasingly promoted as a solution to longstanding barriers in health data access. It is offering the promise of privacy-preserving data reuse for research, innovation, and policy. Despite rapid technical advances, the adoption of synthetic health data in real-world settings remains limited. Shaped by challenges around data quality, representativeness, infrastructure readiness, trust, and legal uncertainty, this viewpoint draws on experiences from 7 European research initiatives within the HealthData4EU cluster to reflect on how SDG is being operationalized in practice. It synthesizes cross-project insights to highlight recurring methodological and governance tensions and to examine their implications for trust and responsible use. The analysis argues that trustworthy SDG cannot be achieved through technical optimization alone but requires alignment between evaluation practices, upstream data stewardship, regulatory clarity, and sustained stakeholder engagement. Addressing these conditions is essential for moving synthetic data from experimental pilots toward a credible and sustainable component of European health research ecosystems.

PMID:42054696 | DOI:10.2196/83369

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Nevin Manimala Statistics

Lived Experiences of Older Adults Using Wearables With Real-Time Feedback: Phenomenological Study

JMIR Mhealth Uhealth. 2026 Apr 29;14:e71509. doi: 10.2196/71509.

ABSTRACT

BACKGROUND: Wearable devices with real-time feedback (WRFs) provide increasing opportunities to enhance physical activity and improve rehabilitation through collecting and processing health-related data. Real-time feedback (RTF) from the device is expected to result in a more dynamic, coordinated, and synchronous rhythmic activity, defined as step-by-step movements mediated by the real-time heart rate feedback. However, age-specific characteristics in the user engagement with WRFs integrating real-time audio feedback have largely remained unexplored.

OBJECTIVE: This study explores the lived experiences of older adults using wearables with RTF to uncover motivations, aspirations, and hindering factors in their engagement with WRFs in rhythmic activity. The study explores narratives that older adults articulate in their previous use of wearables for physical activity, their experiences with WRFs during rhythmic activity, and their meaning-making of the interactive features enhancing the synchronization of the movement during rhythmic activity.

METHODS: The study was conducted as a qualitative interview study with 18 older adults who used a WRF for rhythmic activity during a 3-week period in their home environment. The wearable used in the study is a chest-band sensor device that helps users to synchronize their steps with their heartbeat through the provision of real-time audio feedback. The material consists of semistructured interviews before and after using the device. Material from the semistructured interviews was analyzed with an interpretative phenomenological analysis method.

RESULTS: The study identified four main themes characterizing older adults’ lived experiences with wearables, which are (1) use of wearable technologies without RTF in daily life, (2) embodied rhythmic negotiation with RTF, (3) interpretation of health data with RTF, and (4) temporal trajectories of device engagement with RTF. Older adults demonstrated intentional distancing from wearable technologies rather than simple disuse, prioritizing authentic bodily experiences over external validation. Their engagement was fundamentally relational, mediated through trusted social networks, and required dialogical support for data interpretation. Device-guided movement synchronization created contextually situated challenges that varied significantly based on environmental demands, individual bodily capacity, and exercise routines. Extended temporal engagement transformed participants’ relationships with the technology from initial disruption to potential integration, with RTF serving as a bridge toward enhanced embodied awareness when carefully designed.

CONCLUSIONS: The study concludes that RTF from the device can enhance synchronization and bodily awareness, but meaningful engagement requires adaptive designs that respect older adults’ authentic movement practices, accommodate their relational approach to technology validation, and allow sufficient time for embodied competency development.

PMID:42054677 | DOI:10.2196/71509

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Nevin Manimala Statistics

Veteran Monitoring Initiative for Noninvasive Physiology and Depression (V-MIND) Exploring Physical Activity and Mental Health in UK Veterans: Protocol for an Observational Digital Phenotyping Study

JMIR Res Protoc. 2026 Apr 29;15:e73060. doi: 10.2196/73060.

ABSTRACT

BACKGROUND: Veterans face an increased risk of common mental disorders when compared to civilian groups. However, veteran disengagement from treatment is a concern among health care providers, resulting in a need to explore novel ways of managing veteran mental health. Wearable devices, such as fitness trackers and smartwatches, have been explored for their potential to assess, monitor, and predict mental health outcomes in the general population. Such devices provide continuous data on metrics including physical activity, heart rate, sleep quality, and stress levels, offering a comprehensive view of the lifestyle and physiological factors influencing mental health.

OBJECTIVE: This study aims to explore the feasibility of using wearable technology as a data collection and potential health monitoring tool among UK veterans. It also aims to explore the associations between mental health, physical activity, and functioning factors among UK veterans.

METHODS: This is an observational feasibility study measuring mental health via validated questionnaires completed at baseline (T0), day 28 (T1), day 56 (T2), and day 84 (T3), and physiological metrics measured continuously via wrist-worn fitness trackers (Garmin vívosmart-5 watches) over 3 months (84 days). UK veterans will be recruited through convenience sampling methods. Statistical analysis will be exploratory, and machine learning models will be trained to detect changes in mental health and well-being outcomes.

RESULTS: Data collection was conducted between February 2025 and October 2025, and data analysis is scheduled to begin in January 2026.

CONCLUSIONS: This study will provide information on the feasibility of using wearable technology devices within a UK veteran population and may inform potential future interventions seeking to integrate wearable-derived data alongside the management of common mental disorders in veterans experiencing mental health difficulties. Findings would also enhance understanding of the relationship between mental health and physiological factors (eg, physical activity and sleep) in UK veterans.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/73060.

PMID:42054675 | DOI:10.2196/73060