BMC Microbiol. 2026 Feb 4. doi: 10.1186/s12866-026-04810-5. Online ahead of print.
NO ABSTRACT
PMID:41639761 | DOI:10.1186/s12866-026-04810-5
Tag: pubmed
BMC Med Res Methodol. 2026 Feb 4. doi: 10.1186/s12874-026-02779-3. Online ahead of print.
NO ABSTRACT
PMID:41639760 | DOI:10.1186/s12874-026-02779-3
J Health Popul Nutr. 2026 Feb 4. doi: 10.1186/s41043-025-01219-0. Online ahead of print.
ABSTRACT
BACKGROUND: This study aimed to clarify between serum calcium and mortality in osteoarthritis (OA) patients using NHANES data (2003-2018).
METHOD: A total of 1,249 adults with OA were included. Mortality outcomes were ascertained through linkage to the National Death Index (NDI). Cox proportional hazards models were used to assess the independent association of serum calcium concentration with the risk of death. We used a two-stage Cox proportional hazards model to elucidate the nonlinear relationship between serum calcium concentration and the risk of death in patients with OA. Stratified analyses were performed to identify patients at higher risk.
RESULTS: During follow-up (median: 9.7 years), 220 all-cause deaths occurred (56 CVD-related, 64 cancer-related). After adjusting for relevant variables, serum calcium concentration showed an inverse linear association with all-cause and CVD mortality. Although smoothed curve fitting visually suggested U-shaped and L-shaped patterns for all-cause and CVD mortality, respectively, formal tests for nonlinearity did not reach statistical significance (P for log-likelihood ratio > 0.05). Specifically, the risk was elevated at lower calcium levels and stabilized or showed a non-significant increase at higher levels. In the piecewise linear model, serum calcium below 9.50 mg/dL was inversely associated with all-cause mortality, where each 1 mg/dL increase was associated with a 48% lower risk (HR 0.52, 95% CI: 0.30-0.91). Above 9.50 mg/dL, the association was non-significant (HR 1.09, 95% CI: 0.51-2.35). A similar L-shaped pattern was observed for CVD mortality below the inflection point (HR 0.26, 95% CI: 0.09-0.74). However, formal likelihood ratio tests comparing the threshold model with a linear model did not reach statistical significance (P > 0.05), indicating that the data do not provide strong evidence against a linear association.
CONCLUSION: Our primary analysis supports an inverse linear association between serum calcium and mortality in OA patients. Although exploratory analyses revealed potential non-linear patterns visually, these were not statistically confirmed. Therefore, the overall relationship is best characterized as linear within the observed range, with lower serum calcium associated with higher mortality risk. Therefore, these findings highlight a potential optimal range for serum calcium but require verification in future studies designed to confirm nonlinearity and assess the clinical utility of calcium management.
PMID:41639742 | DOI:10.1186/s41043-025-01219-0
Implement Sci Commun. 2026 Feb 5. doi: 10.1186/s43058-026-00871-9. Online ahead of print.
ABSTRACT
BACKGROUND: Adaptations are expected when complex public health interventions are implemented in dynamically and rapidly changing real-world settings. Systematic documentation of adaptations to intervention components and strategies are critical when assessing their impact on implementation. The purpose of this paper is to describe our approach to systematically tracking, documenting, and evaluating adaptations made during the CO-CREATE-Ex project, which aimed to address COVID-19 testing disparities in the San Ysidro US/Mexico border community.
METHODS: The study utilized a longitudinal, prospective, multi- method approach to systematically document and assess adaptations across the pre-implementation, early and mid/late-implementation, and maintenance phases of the project. Adaptations were aggregated from a combination of sources (i.e., meeting notes, Advisory Board transcripts, and periodic reflections). Adaptations were entered weekly into an electronic database that captured information on 16 characteristics and were validated by study staff. Descriptive statistics were used to describe adaptation characteristics. Adaptation impact was evaluated using a combination of objective and subjective measures aligned with the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) outcomes.
RESULTS: Eighty-four unique adaptations were included in this analysis. Adaptations were organized by study phase with most occurring during pre-implementation. Most adaptations (n = 79, 94.04%) were planned (i.e., proactive) and expected (n = 63, 75%), and (n = 21, 25.0%) adaptations were considered unexpected (e.g., reactive). Across all adaptations, 71.2% were perceived as positive (i.e., had a positive impact on RE-AIM implementation outcomes) and 19.1% were perceived to be negative (i.e., worsened implementation outcome or decreased implementation). Unexpected adaptations, though reactive in nature, generally had a positive impact on implementation outcomes. For instance, 14.3% of unexpected adaptations were perceived to increase reach and effectiveness. Within maintenance, 19% of unexpected adaptations were perceived to increase this outcome. Lastly, adaptations were generally small in scope with less than a tenth of adaptations affecting 50% or more of core elements.
CONCLUSION: Our systematic approach to documenting and analyzing adaptations has highlighted the importance of understanding the impact of adaptations on implementation outcomes. These insights underscore the need for continued research to refine methods for adaptation documentation and impact evaluation, ensuring interventions remain effective, equitable, and responsive to real-world challenges.
TRIAL REGISTRATION: ClinicalTrials.gov, NCT05894655, Registered 8 June 2023.
PMID:41639712 | DOI:10.1186/s43058-026-00871-9
AIDS Res Ther. 2026 Feb 4. doi: 10.1186/s12981-026-00852-x. Online ahead of print.
ABSTRACT
BACKGROUND: As Uganda scales up integrated chronic care, understanding viral load suppression (VLS) among people living with HIV (PLHIV) with non-communicable diseases (NCDs) is critical for optimizing service delivery. This study thus determined VLS among the PLHIV with NCDs and associated factors.
METHODS: We conducted a cross-sectional analysis using routine program data from 10 districts in Eastern Uganda and 18 health facilities-three general hospitals, seven health centre (HC) IVs, seven HC IIIs and one Special HIV Clinic. We included PLHIV aged 20 + who were active in care during the April-June 2025 quarter and screened for NCDs (hypertension, diabetes mellitus, anxiety/depression and alcohol abuse). VLS was defined as < 1000 copies/ml. Robust Poisson regression estimated crude and adjusted prevalence ratios (aPRs) for VLS using 95% confidence interval (CI) and p < 0.05 for statistical significance. A forest plot visualized effect sizes and confidence intervals. STATA Corp version 15 was used for the analysis.
RESULTS: Among 8,306 PLHIV, 62.4% were female, with a mean (Standard Deviation) age of 46.7 years (13.8). Overall VLS was 94.7% (96.72% for PLHIV with NCDs and 94.53% for those without). NCD comorbidity was 8.45%, predominantly hypertension (7%). Crude analysis showed higher VLS among PLHIV with NCDs (PR = 1.023; p = 0.002), but adjusted estimates attenuated (aPR = 1.015; 95% CI 0.999-1.031; p = 0.065). Older age groups (30-39, 40-49, 50+) had significantly higher VLS than those under 30 ( aPR = 1.063; 95% CI 1.034-1.091; p < 0.001), (aPR = 1.073; 95% CI 1.044-1.102; p < 0.001), (aPR = 1.071; 95% CI 1.043-1.100; p < 0.001) respectively. Males had lower VLS than females (aPR = 0.978, 95% CI [0.968, 0.989] p < 0.001). Clients at Health Centre III had reduced VLS (aPR = 0.979 95%CI [0.961, 0.997]; p = 0.023), while Health Centre IV and hospitals showed no significant difference when compared with those in the special clinic.
CONCLUSION: VLS among PLHIV with NCDs was comparable to those without, suggesting integrated care may mitigate disparities. However, age, sex, and facility level remain key determinants. Targeted interventions are needed for younger clients, men, and health centre IIIs to sustain viral suppression in the era of integrated health services.
PMID:41639705 | DOI:10.1186/s12981-026-00852-x
BMC Oral Health. 2026 Feb 4. doi: 10.1186/s12903-026-07820-x. Online ahead of print.
ABSTRACT
BACKGROUND: Smoking and alcohol consumption are major risk factors for oral potentially malignant disorders (OPMDs), yet the extent to which an OPMD diagnosis prompts behavioral change remains unclear. This study aimed to describe the changes in smoking and alcohol consumption in patients after an OPMD diagnosis and explore the role of demographic and clinical factors in these behavioral changes.
METHODS: A retrospective cohort study was conducted in the Department of Oral and Maxillofacial Surgery at the McGill University Health Centre, including OPMD patients from 2018 to 2023. Eligible patients had a confirmed OPMD diagnosis, no prior history of head and neck cancer, and at least six months of follow-up. Those without smoking or alcohol data were excluded. Descriptive statistics, McNemar’s and Wilcoxon signed-rank tests to assess behavioral changes, and logistic regression to identify factors associated with continued smoking and alcohol use were used.
RESULTS: The sample composed of 82 patients, 30 (36.6%) were female, with a mean age at diagnosis of 64 years. Leukoplakia (82.9%) was the most common OPMD, and the tongue was the most affected site (42.7%). Median follow-up was 29 months. Most patients (76.8%) had a histologic diagnosis of either mild or moderate dysplasia. At the time of diagnosis, about one-third were active smokers or moderate-to-heavy drinkers. Smoking prevalence decreased from 30.5% at diagnosis to 22.5% post-diagnosis, although this reduction did not reach statistical significance (p = 0.06), while moderate-to-heavy alcohol use remained largely unchanged (31.7% vs. 30.5%, p = 1.00). Younger patients were less likely to change smoking habits (OR = 0.96, 95% CI 0.91-1.00; p = 0.042). Patients from lower socioeconomic backgrounds had lower odds of alcohol use post-diagnosis (OR = 0.26, 95% CI 0.08-0.82; p = 0.021).
CONCLUSION: The findings suggest that smoking cessation is achievable post-diagnosis, whereas reducing alcohol intake may require more targeted interventions. Resistance to behavior change among younger patients may explain rising oral cancer rates in this population.
PMID:41639699 | DOI:10.1186/s12903-026-07820-x
Child Adolesc Psychiatry Ment Health. 2026 Feb 4. doi: 10.1186/s13034-026-01022-7. Online ahead of print.
ABSTRACT
BACKGROUND: Adolescent mental health outcomes are often poorer in rural areas of Australia, and most adolescents do not seek help, highlighting a critical gap in understanding help-seeking behaviours. This study examined mental health help-seeking patterns and associated factors among rural Australian adolescents.
METHODS: Data from Wave 8 of the Longitudinal Study of Australian Children, including 4,837 adolescents aged 14-19 years, were analysed. The prevalence of help-seeking overall and by remoteness, as defined by the Australian Bureau of Statistics were estimated. Cluster-adjusted multiple logistic regression models were used to examine factors associated with help-seeking behaviours.
RESULTS: Help-seeking behaviours were generally lower among adolescents from rural areas compared to their urban counterparts. Seeking face-to-face mental health professional help was significantly less common in outer regional and remote areas (7.72%, 95% CI: 5.39-10.93) compared to urban areas (12.20%, 10.97-13.54). Furthermore, males reported significantly lower professional help-seeking behaviours (2.76%, 1.33-5.63) than females (13.53%, 9.08-19.70) in outer regional and remote areas. Similar sex disparities were observed in non-face-to-face (e.g., internet, phone) help-seeking. The most common predictors of help-seeking behaviours were ongoing anxiety or depression and good parent-child relationships. Other statistically significant predictors included suicidal thoughts and behaviours, single-parent family, community participation, social media exposure and drug use. Two predictors (i.e., financial hardship for formal help-seeking and community engagement for informal help-seeking) varied statistically significantly between rural and urban settings.
CONCLUSION: Strategies to address lower prevalence of mental health help seeking among rural male adolescents in Australia should be sensitive to context-specific barriers and designed to meet their unique needs. Adolescent-focused digital interventions and strengthened family and community engagement are vital to ensuring equitable access to mental health services for adolescents in rural Australia.
PMID:41639672 | DOI:10.1186/s13034-026-01022-7
BMC Psychiatry. 2026 Feb 4. doi: 10.1186/s12888-026-07868-7. Online ahead of print.
ABSTRACT
BACKGROUND: Relatives’ expressed emotions (EE) and caregiving appraisals are associated with the prognosis of individuals with psychotic disorders as well as relatives’ own well-being. The main aim of the present study was to examine whether sociodemographic factors, patients’ clinical characteristics, relatives’ health and quality of life (QoL), and relatives’ perceived support explained a significant amount of the variance in expressed emotion (EE) and caregiving appraisals among relatives of patients with psychotic disorders.
METHODS: Baseline data from The Implementation of guidelines on Family Involvement for persons with Psychotic disorders (IFIP) trial were compiled from 231 patient-relative pairs across 15 Community Mental Health Centres (CMHC). Relatives completed assessments on EE; emotional overinvolvement (EOI) and critical comments (CC) (Family Questionnaire), negative and positive caregiving appraisals (Experience of Caregiving Inventory), health and QoL (Care Related Quality of Life), healthcare professional support (Caregiver Well-being and Support) and sociodemographic factors. Patients reported on their own difficulties with mental health and functioning (Behavior and Symptom Identification scale) while clinicians assessed patients’ functioning (Global Assessment of Functioning) and sociodemographic factors. Pearson and Spearman correlations and hierarchical multiple linear regressions were used for statistical analyses.
RESULTS: Duration since first psychosis diagnosis, patients’ mental health and functioning, and relatives’ health problems explained a substantial proportion of variance in relatives’ EOI and negative caregiving appraisals. Together with household income level, duration since first psychosis diagnosis explained a significant amount of the variance in positive caregiving appraisals. Relatives’ perceived support from healthcare professionals explained a significant amount of the variance in CC and negative caregiving appraisals, even after adjusting for contextual variables.
CONCLUSION: Psychotic disorders entail significant burdens and shape the family climate for both patients and their relatives. Negative caregiving appraisals and EOI may reflect normal reactions to the responsibilities and challenges relatives face. EOI and CC, however, may be associated with distinct factors, necessitating tailored psychoeducational and support interventions. The findings suggest that relatives’ perceived support from healthcare professionals could have a substantial positive impact on CC and negative caregiving appraisals, which is important for clinicians to recognise and address.
PMID:41639671 | DOI:10.1186/s12888-026-07868-7
BMC Public Health. 2026 Feb 4. doi: 10.1186/s12889-026-26520-3. Online ahead of print.
NO ABSTRACT
PMID:41639656 | DOI:10.1186/s12889-026-26520-3
BMC Psychiatry. 2026 Feb 4. doi: 10.1186/s12888-026-07867-8. Online ahead of print.
NO ABSTRACT
PMID:41639644 | DOI:10.1186/s12888-026-07867-8