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Falls among older adults represent a major public health challenge, yet research examining the role of social determinants of health (SDOH) in fall risk remains limited. This study aimed to identify factors associated with fall occurrence and fall frequency among community-dwelling older adults in Korea, with particular emphasis on SDOH.
A cross-sectional study design.
We used a large nationwide sample (n = 9746) from the 2023 National Survey of Older Koreans. The number of falls in the past year served as the dependent variable. Independent variables included a range of socioeconomic and environmental variables as SDOH, alongside biological and behavioral variables. A zero-inflated negative binomial (ZINB) regression analysis was employed to address excess zeros and overdispersion in fall count data.
Among participants, 94.8% experienced no falls, 3.2% reported a single fall, and 1.9% reported recurrent falls. In the logit model for fall occurrence, higher household income level, absence of age-friendly housing, higher access to parks, and lower access to welfare centers were associated with higher risk of fall occurrence. In the count model for fall frequency, higher education level, presence of age-friendly housing, and outdoor mobility barriers were associated with higher fall frequency within the at-risk group.
The findings provide empirical evidence on the critical roles of SDOH in falls among community-dwelling older adults. Specifically, a ZINB regression analysis identified distinct sets of SDOH associated with fall occurrence versus fall frequency, highlighting the complex and multifaceted nature of fall patterns among older adults.
Healthcare providers and policymakers seeking to reduce falls should implement tailored, SDOH-integrated strategies by addressing the different mechanisms underlying fall occurrence and fall frequency.
Infant feeding practices in the first 2 years of life are linked to long-term weight trajectories. Despite the importance of obesity prevention interventions, there are no randomised controlled trials (RCTs) evaluating early childhood education and care (ECEC) and primary caregiver-targeted interventions on child weight and feeding outcomes.
To assess the efficacy of an 18-month digital health intervention (Tiny Bites) delivered to ECEC services and primary caregivers of children aged 4 to ≤12 months on child age-adjusted and sex-adjusted body mass index-for-age z-score (zBMI) relative to usual care control in the Hunter New England (HNE) region of New South Wales, Australia.
This type 1 hybrid cluster RCT will include up to 60 ECEC services and 540 children/caregiver dyads. The intervention supports ECEC services and caregivers to deliver recommended responsive feeding practices to infants. ECEC services will receive access to an online assessment platform, training and resources, and implementation support. Primary caregivers will receive text messages, monthly e-newsletters, online links and direct communication from ECEC services. We will assess the impact on child zBMI at 18-month follow-up. Secondary outcomes include duration of consuming any breastmilk, child diet and caregiver responsive feeding practices. We will also assess ECEC policy and practice implementation related to targeted feeding practices, programme cost effectiveness, adverse effects and engagement with the programme (ECECs and caregivers). For the primary outcome, between-group differences will be assessed for paired data using two-level hierarchical linear regression models.
Ethics approval has been provided by HNE Human Research Ethics Committee (HREC) (2023/ETH01158), Deakin University (2024-202) and University of Newcastle HREC (R-2024-0039). Trial results will be submitted for publication in peer-reviewed journals, presented at scientific conferences locally and internationally and to relevant practice stakeholders.
ACTRN12624000576527.
by Danai Sangthong, Pradit Sangthong, Warin Rangubpit, Prapasiri Pongprayoon, Eukote Suwan, Kannika Wongpanit, Wissanuwat Chimnoi, Pacharathon Simking, Sinsamut Sae Ngow, Serge Morand, Roger W. Stich, Sathaporn Jittapalapong
Phylogenetic and population genetic analyses were conducted on tick specimens collected from cattle in northern, northeastern, central, and southern regions of Thailand. Morphological identification indicated these ticks consisted of three species, Rhipicephalus microplus from all four regions, R. sanguineus from the northern and northeastern regions, and a Haemaphysalis species only collected from the northeastern region. Analysis of cytochrome c oxidase subunit I gene (COI) sequences identified R. microplus clades A and C, while clade B was not detected in this study. The same analysis indicated specimens morphologically identified as Haemaphysalis were H. bispinosa, confirming previous reports of their prevalence in northeastern Thailand. H. bispinosa showed low haplotype and nucleotide diversity, suggesting either a bottleneck or founder effect. Both R. microplus clades displayed high haplotype diversity and low nucleotide diversity, a pattern associated with population expansion. Genetic structural analysis revealed significant genetic differences in R. microplus clade A, especially between mainland (northern, northeastern, and central regions) and peninsular (southern region) populations, which indicated limited gene flow between these areas while suggesting movement of these ticks across the mainland. The sequence analyses described in this report enhance understanding of the natural history of ticks in Thailand and are expected to guide and strengthen tick control strategies across Southeast Asia.by Yoo Kyung Choi, Seok Hyun Son, Hong Seok Jang, In-Ho Kim, Sea-Won Lee, Soo-Yoon Sung
BackgroundRadiotherapy for locally advanced esophageal cancer can induce lymphopenia, potentially worsening outcomes. This study examines the association between clinical outcomes and the effective dose to the immune cells (EDIC), a measure of lymphocyte radiation exposure.
MethodsWe retrospectively analyzed 107 patients with locally advanced esophageal squamous cell carcinoma treated with definitive concurrent chemoradiotherapy (CCRT). The EDIC was calculated based on the mean lung dose, mean heart dose, and integral total body dose using established models. Patients were stratified into high (n = 42) and low (n = 65) effective dose to the immune cells (EDIC) groups using a cut-off value of 4.28 Gy. Survival outcomes, including overall survival (OS), progression-free survival (PFS), locoregional failure-free survival (LRFS), and distant metastasis-free survival (DMFS), were assessed.
ResultsThe 5-year OS and PFS rates were significantly lower in the high EDIC group than in the low EDIC group (51.9% vs. 66.6%, p = 0.043; 20.8% vs. 31.8%, p = 0.002, respectively). Multivariate analysis identified high EDIC as an independent predictor of poorer OS (hazard ratio (HR): 2.06, 95% confidence interval (CI): 1.1–3.86, p = 0.024) and PFS (HR: 1.7, 95% CI: 1.04–2.78, p = 0.034). Similarly, the 5-year LRFS and DMFS rates were significantly lower in the high EDIC group than in the low EDIC group (24.1% vs. 34.9%, p = 0.003; 29.0% vs. 44.0%, p = 0.018, respectively).
ConclusionA higher EDIC is an independent predictor of poor survival in patients with esophageal squamous cell carcinoma undergoing CCRT. Reducing radiation exposure to the immune system through optimized radiation planning and lymphocyte-sparing techniques may improve patient outcomes.
by Kazuya Takahashi, Michalina Lubiatowska, Huma Shehwana, James K. Ruffle, John A. Williams, Animesh Acharjee, Shuji Terai, Georgios V. Gkoutos, Humayoon Satti, Qasim Aziz
BackgroundThe exact mechanisms underlying paediatric abdominal pain (AP) remain unclear due to patient heterogeneity. This preliminary study aimed to identify AP phenotypes and develop predictive models to explore associated factors, with the goal of guiding future research.
MethodsIn 13,790 children from a large birth cohort, data on paediatric and maternal demographics and comorbidities were extracted from general practitioner records. Machine learning (ML) clustering was used to identify distinct AP phenotypes, and an ML-based predictive model was developed using demographics and clinical features.
Results1,274 children experienced AP (9.2%) (average age: 8.4 ± 1.1 years, male/female: 615/659), who clustered into three distinct phenotypes: Phenotype 1 with an allergic predisposition (n = 137), Phenotype 2 with maternal comorbidities (n = 676), and Phenotype 3 with minimal other comorbidities (n = 340). As the number of allergic diseases or maternal comorbidities increased, so did the frequency of AP, with 17.6% of children with ≥ 3 allergic diseases and 25.6% of children with ≥ 3 maternal comorbidities. The predictive model demonstrated moderate performance in predicting paediatric AP (AUC 0.67), showing that a child’s ethnicity, paediatric allergic diseases, and maternal comorbidities were key predictive factors. When stratified by ML-predicted probability, observed AP rates were 18.9% in the 60% group.
ConclusionsThis study identified distinct AP phenotypes and key risk factors using ML. Furthermore, the predictive ML model enabled risk stratification for paediatric AP. These analyses provide valuable insights to guide future investigations into the mechanisms of AP and may facilitate research aimed at identifying targeted interventions to improve patient outcomes.
Although lung cancer remains the leading cause of cancer deaths in the US, recent advances in early detection and treatment have led to improvements in survival. However, there is a considerable risk of recurrence or second primary lung cancer (SPLC) following curative-intent treatment in patients with early-stage non-small cell lung cancer (NSCLC). Professional societies recommend routine surveillance with CT to optimise the detection of potential recurrence and SPLC at a localised stage. However, no definitive evidence demonstrates the effect of imaging surveillance on survival in patients with NSCLC. To close these research gaps, the Advancing Precision Lung Cancer Surveillance and Outcomes in Diverse Populations (PLuS2) study will leverage real-world electronic health records (EHRs) data to evaluate surveillance outcomes among patients with and without guideline-adherent surveillance. The overarching goal of the PLuS2 study is to assess the long-term effectiveness of surveillance strategies in real-world settings.
PLuS2 is an observational study designed to assemble a cohort of patients with incident pathologically confirmed stage I/II/IIIA NSCLC who have completed curative-intent therapy. Patients undergoing imaging surveillance will be followed from 2012 to 2026 by linking EHRs with tumour registry data in the OneFlorida+ Clinical Research Consortium. Data will be consolidated into a unified repository to achieve three primary aims: (1) Examine the utilisation and determinants of CT imaging surveillance by race/ethnicity and socioeconomic status, (2) Compare clinical endpoints, including recurrence, SPLCs and survival of patients who undergo semiannual versus annual CT imaging and (3) Use the observational data in conjunction with validated microsimulation models to simulate imaging surveillance outcomes within the US population. To our knowledge, this study represents the first attempt to integrate real-world data and microsimulation models to assess the long-term impact and effectiveness of imaging surveillance strategies.
This study involves human participants and was approved by the University of Florida Institutional Review Board (IRB), University of Florida IRB 01, under approval number IRB202300782. The results will be disseminated through publications and presentations at national and international conferences. Safety considerations encompass ensuring the confidentiality of patient information. All disseminated data will be de-identified and summarised.
Exposure to prescription opioids following traumatic injury can increase the risk of developing tolerance, persistent opioid use and opioid use disorder. The mechanisms underlying opioid tolerance or dependence are not well understood, and no biomarkers predict risk. Opioid exposure causes epigenetic modifications, including alterations in microRNA (miRNA) expression. Several miRNAs, which regulate synaptic plasticity, are hypothesised to underlie substance use disorders and influence µ-opioid receptor levels, modulating opioid tolerance. This project aims to develop a bio-behavioural signature to predict persistent opioid use and chronic pain up to 6 months post-discharge.
The study will use a prospective cohort design, enrolling 180 adult patients at a Level I Trauma Center who are prescribed opioids at discharge. Prospective data will be collected in the hospital and at 7 days and 1, 3 and 6 months post-discharge. Biological data (genotyping and miRNA levels) and clinical measures of opioid use, pain, pain sensitivity (EEG) and psychosocial functioning will be collected at each time point. Bayesian regression methods will be used to identify baseline clinical, genetic, epigenetic and psychosocial predictors of opioid use and pain outcomes at 6 months post-discharge. Growth mixture modelling will identify distinct subgroups with varying trajectories, followed by Bayesian hierarchical modelling to predict trajectory classification based on predictor variables.
Ethics approval for this study was obtained from the University of Texas Health Science Center at Houston Committee for the Protection of Human Subjects (HSC-MS-24–0314). Findings will be disseminated in peer-reviewed scientific journals and at national and international conferences.
To (1) examine the attitudes of community-dwelling adults towards death and their ability to cope with death, as well as (2) understand the influence of advance care planning on community-dwelling adults' death attitudes and coping with death.
A sequential explanatory mixed-methods study was conducted in Singapore.
In Phase I, a case–control study was conducted to examine the differences in death attitudes and coping with death ability between community-dwelling adults who have completed advance care planning and those who have not. A univariate general linear model was used to compute the mean difference in death attitudes and coping with death scores. In Phase II, a descriptive qualitative study was conducted to provide an in-depth understanding of the influence of advance care planning among community-dwelling adults. Thematic analysis was used for qualitative analysis. Mixed-methods analysis was conducted to integrate the quantitative and qualitative data.
In Phase I, 80 community-dwelling adults who had completed advance care planning and 81 community-dwelling adults who did not have advance care planning were included. Adults who had completed advance care planning had significantly higher coping with death scores (t = 4.14, p < 0.01). In Phase II, a purposive sample of 24 adults who had completed advance care planning was selected for individual semi-structured interviews. From the thematic analysis, three themes were developed: (1) Advance care planning enables coping with death, (2) overcoming fear of death with advance care planning and (3) confronting death with advance care planning.
Advance care planning may influence death attitudes and coping with death. Further work on longitudinal designs and among individuals from different age groups should be used to gain further in-depth understanding of the impacts of advance care planning.
Strategies to enhance one's coping abilities with death and death attitudes should be developed to stimulate the uptake of advance care planning.
This paper was reported according to the Good Reporting of A Mixed Methods Study framework.
Community-dwelling adults participated in the survey and interviews.
To synthesise the effectiveness of massage therapy for cancer pain, quality of life and anxiety among patients with cancer.
Systematic review and meta-analysis.
This review was reported according to the PRISMA guidelines. Studies evaluating the effects of massage therapy on cancer pain, quality of life or anxiety in patients with cancer pain were eligible. The Cochrane Risk of Bias tool and Grading of Recommendations Assessment, Development and Evaluation were used to assess the quality of studies. Outcomes were pooled using standardised mean differences and narratively synthesised when meta-analysis was not possible.
Pubmed, EMBASE, Web of Science, CINAHL, CENTRAL, Google Scholar, ProQuest Theses and Dissertations were searched for English peer-reviewed studies and grey literature published from inception to 8 January 2024.
Thirty-six RCTs involving 3671 participants were included. Massage therapy significantly improved pain (pooled SMD = −0.51, 95% CI −0.68 to −0.33), quality of life (pooled SMD = 0.48, 95% CI 0.19–0.78 when higher scores indicate better quality of life; pooled SMD = −0.52, 95% CI −0.88 to −0.16 when higher scores indicate poorer quality of life) and anxiety (pooled SMD = −0.38, 95% CI: −0.57 to −0.18) post-intervention. All outcomes had very low certainty of evidence. Most studies had unclear or high risk of bias.
This review found that massage therapy is beneficial to patients with cancer in improving pain, quality of life and anxiety. Healthcare institutions and healthcare professionals should recognise the value of massage therapy to enhance the care of patients with cancer pain.
PRISMA guidelines.
No Patient or Public Contribution.
PROSPERO CRD42023407311.
To develop a family-centred end-of-life care protocol and evaluate its feasibility.
The draft protocol was created by integrating literature review results and existing protocols and interviewing bereaved parents. A Delphi study and an experts' review were conducted to refine the draft, followed by feasibility testing with neonatal intensive care unit nurses.
A 71-item protocol based on an integrated end-of-life care model and the family-centred care concept was developed, comprising three sections: principal guidelines, communication during end-of-life care and five substeps (4, 17 and 71 items, respectively) according to changes in an infant's condition. The feasibility was confirmed by an increase in competency and a positive attitude towards infant end-of-life care participants who completed the protocol education.
The protocol was feasible and improved nurses' competency and attitude in providing end-of-life care for infants and parents requiring support due to the loss of their infants. It can positively impact the well-being of parents who have experienced the loss of their infants in neonatal intensive care units and enhance family-centred care within the units.
Application of the family-cantered end-of-life care could support infants' dying process and improve bereaved parents' quality of life in neonatal intensive care units.
This study increased neonatal end-of-life nursing needs' awareness among nurses and parents during bereavement. It offered preliminary evidence regarding the feasibility of a neonatal end-of-life care protocol developed in this study.
AGREE Reporting Checklist 2016.
We interviewed bereaved parents to develop the draft protocol and involved neonatal care experts for the Delphi study and neonatal nurses (who would use the protocol) as feasibility test subjects.
This was a doctoral dissertation and did not require protocol registration as the feasibility test involved a single neonatal intensive care unit.
To examine the effects of spousal support and parent–nurse partnership on caregiver burden of parents of children with chronic disease.
With the trend of increasing the global number of children with chronic diseases, the parental caregiver burden has become increasingly prevalent.
Cross-sectional study.
The study participants included 115 parents of children diagnosed with chronic disease at a general hospital in South Korea. The study duration was 4 June 2021–30 April 2022. Self-reported measures included the parent–nurse partnership scale, the Korean version of the Parenting Alliance Inventory and the family caregiver burden scale. T-tests, ANOVA, Pearson's correlation coefficients and hierarchical linear multiple regression were conducted using IBM SPSS version 26.0. This study followed STROBE guideline.
Parental caregiver burden was significantly negatively associated with spousal support and parent–nurse partnership. Factors significantly influencing caregiver burden were parental alcohol consumption; child's inherited metabolic disease, cardiovascular disease, disease relating to haematological tumours or kidney disease diagnosis; child's health perceived as poor by parents; child's dependency perceived as high by parents; hospitalization recency; and low spousal support. These factors accounted for 65% of caregiver burden.
Parental caregiver burden was related to spousal support and parent–nurse partnership, but the primary factor affecting caregiver burden was spousal support.
The results highlighted the role of healthcare professionals in educating parents of children with chronic diseases to facilitate spousal support and have implications for nursing and community-based interventions to reduce parental caregiver burden. Furthermore, they underlined that policymakers and other stakeholders should pay attention to the parental caregiver burden through government-based, family-centered strategies.
Parents of children with chronic disease were recruited to perform the self-administered survey in the phase of data collection.
FreshRSS 