Category: Nevin Manimala

Adv Health Sci Educ Theory Pract. 2023 Jun 22. doi: 10.1007/s10459-023-10248-5. Online ahead of print.

ABSTRACT

There is an expectation that health professions schools respond to priority societal health needs. This expectation is largely based on the underlying assumption that schools are aware of the priority needs in their communities. This paper demonstrates how open-access, pan-national health data can be used to create a reliable health index to assist schools in identifying societal needs and advance social accountability in health professions education. Using open-access data, a psychometric evaluation was conducted to examine the reliability and validity of the Canadian Health Indicators Framework (CHIF) conceptual model. A non-linear confirmatory factor analysis (CFA) on 67 health indicators, at the health-region level (n = 97) was used to assess the model fit of the hypothesized 10-factor model. Reliability analysis using McDonald’s Omega were conducted, followed by Pearson’s correlation coefficients. Findings from the non-linear CFA rejected the original conceptual model structure of the CHIF. Exploratory post hoc analyses were conducted using modification indices and parameter constraints to improve model fit. A final 5-factor multidimensional model demonstrated superior fit, reducing the number of indicators from 67 to 32. The 5-factors included: Health Conditions (8-indicators); Health Functions (6-indicators); Deaths (5-indicators); Non-Medical Health Determinants (7-indicators); and Community & Health System Characteristics (6-indicators). All factor loadings were statistically significant (p < 0.001) and demonstrated excellent internal consistency ([Formula: see text] >0.95). Many schools struggle to identify and measure socially accountable outcomes. The process highlighted in this paper and the indices developed serve as starting points to allow schools to leverage open-access data as an initial step in identifying societal needs.

PMID:37347458 | DOI:10.1007/s10459-023-10248-5

Drugs Aging. 2023 Jun 22. doi: 10.1007/s40266-023-01045-1. Online ahead of print.

ABSTRACT

BACKGROUND/OBJECTIVE: While several psychotropic and cardiovascular drugs have been identified as fall-risk-increasing drugs (FRIDs) in older adults, the intervening mechanisms linking FRIDs and falls are unclear. It is plausible that gait performance is an intermediate variable on the causal pathway between FRIDs and falls. The current evidence on the relationship between medication use and gait performance in older adults is scarce. We aimed to assess the association between FRIDs and gait performance in community-dwelling older adults.

METHODS: This was a cross-sectional analysis using data from the Gait and Brain Study, a study of community-dwelling older adults aged 65 years old and over (N = 345). The following drug classes were assessed: antidepressants, benzodiazepines, alpha-blockers, beta-blockers, vasodilators, diuretics, statins and aspirin. Medication use was ascertained through validated questionnaires and electronic medical records. Multiple linear regression models were used to assess the association between each of the drug classes and gait speed and gait variability. Gait variability was expressed as the coefficient of variation (CV = mean/standard deviation) of stride time. Models were adjusted for age, sex, education, body mass index (BMI), mini-mental status exam (MMSE) score, Geriatric Depression Scale (GDS) score, general activity level, use of other FRIDs and comorbidity propensity score.

RESULTS: Diuretic use was associated with significantly reduced gait speed (B = -7.97 cm/s, 95% CI: -13.94, -2.00, P = 0.009). Statin use was associated with significantly increased stride time CV (B = 0.13, 95% CI: 0.02, 0.24, P = 0.026). Other drugs did not have a statistically significant relationship with gait speed or variability.

CONCLUSION: The association between diuretic use and reduced gait speed is consistent with existing evidence on diuretic use and increased fall risk. The association between statins and increased stride time variability is notable given inconclusive evidence in previous studies. Our results provide initial estimates of the association between FRIDs and gait performance in older adults for future longitudinal studies.

PMID:37347412 | DOI:10.1007/s40266-023-01045-1

Biol Trace Elem Res. 2023 Jun 22. doi: 10.1007/s12011-023-03717-w. Online ahead of print.

ABSTRACT

Welding fumes have an important role to create the adverse health effects. So, the aim of this study was to use of multiple occupational health risk assessment models for metal fumes in welding process. This cross-sectional study was conducted among welding workers. Sampling of heavy metals such as Sn, Zn, Al, Fe, Cd, Pb, Cu, Mn, Ni, Cr, and As was provided based on the National Institute for Occupational Safety and Health (NIOSH) method 7300 and analyzed by inductively coupled plasma mass spectroscopy (ICP-MS). Risk assessment was managed by four methods including Malaysia’s method, Control of Substances Hazardous to Health Essentials (COSHH model), Chinese OHRA standard (GBZ/T 298-2017), and EPA method. Also, Monte Carlo simulation was used to examine the uncertainties by using the Crystal Ball tool. To compare the models, the risk levels of each model were converted into the risk ratio and the SPSS 22.0 software was used to the statistical analysis. The consistency of the two occupational health risk assessment models was examined by Cohen’s Kappa. Risk ration was the highest level for Cr (VI) fumes in all models. Also, carcinogenic risk was unacceptable for all examined fumes. Moreover, non-carcinogenic risk was the highest (HI > 1) for As fumes. Mont Carlo simulations suggested that exposure time (ET) had a significant effect on the risk. Also, there was a good consistency between Malaysia method/GBZ/T 298-2017 and COSHH model/GBZ/T 298-2017. Therefore, it is recommended that the engineering and administrative controls should be provided to reduce exposure.

PMID:37347403 | DOI:10.1007/s12011-023-03717-w

Endocrine. 2023 Jun 22. doi: 10.1007/s12020-023-03423-6. Online ahead of print.

ABSTRACT

PURPOSE: To investigate whether maternal cigarette smoking during pregnancy is a risk factor for developing GDM.

METHODS: MEDLINE, Scopus, CENTRAL and Google Scholar databases were searched from inception to December 2022 to identify eligible original articles. A systematic review and meta-analysis (weighted data, random-effects model) were performed. The primary outcome was the development of GDM in pregnant women. The results were expressed as odds ratios (OR) with 95% confidence interval (CI) (inverse variance method). Subgroup analysis was planned according to the maternal smoking status and GDM diagnostic criteria. Statistical heterogeneity was checked with the Chi-squared (Chi²) test and the I² index was used to quantify it. The studies were evaluated for publication bias.

RESULTS: Thirty-five studies, including 23,849,696 pregnant women, met the inclusion criteria. The pooled OR of smoking during pregnancy compared with non-smoking (never smokers and former smokers) was 1.06 (95% CI 0.95-1.19), p = 0.30; I² = 90%; Chi² = 344; df=34; p < 0.001. Subgroup analysis was performed according to the two-step Carpenter-Coustan diagnostic criteria, due to the high heterogeneity among the other applied methods. The pooled OR for the Carpenter-Coustan subgroup was 1.19 (95% CI 0.95-1.49), p = 0.12; I² = 63%; Chi² = 27; df=10; p < 0.002. Further subgroup analysis according to maternal smoking status was not performed due to missing data.

CONCLUSION: There is no evidence to support an association between maternal cigarette smoking during pregnancy and the risk for GDM. Universally accepted diagnostic criteria for GDM must be adopted to reduce heterogeneity and clarify the association between smoking and GDM.

PMID:37347387 | DOI:10.1007/s12020-023-03423-6

Eur Arch Paediatr Dent. 2023 Jun 22. doi: 10.1007/s40368-023-00818-x. Online ahead of print.

ABSTRACT

PURPOSE: To investigate the direct and indirect pathways between verbal bullying and adverse oral conditions among school-aged children.

METHODS: A cross-sectional survey was conducted with 8- to 10-year-old children, enrolled in public schools in Southern Brazil. Verbal bullying was collected by self-reports. Independent variables included sociodemographic characteristics (sex, age, household income, and caregivers’ educational level) and oral conditions (anterior open bite, anterior teeth crowding, upper anterior diastema, large overjet, untreated dental caries, and PUFA index). The pathways between verbal bullying and the independent variables were analysed through structural equation modelling.

RESULTS: 1369 children were included. The prevalence of verbal bullying was 26.2% (95% confidence interval [CI] 23.9-28.6%). Verbal bullying was directly influenced by large overjet (standard coefficient [SC] 0.13, P < 0.01), untreated dental caries (SC 0.63, P = 0.01) and PUFA index (SC 0.75, P = 0.02). Sex (SC – 0.005, P = .04) and age (SC – 0.006, P < 0.01) indirectly influenced verbal bullying via untreated dental caries.

CONCLUSIONS: Verbal bullying was directly influenced by large overjet, untreated dental caries and PUFA index. Sex and age indirectly impacted verbal bullying through untreated dental caries.

PMID:37347383 | DOI:10.1007/s40368-023-00818-x

Matern Child Health J. 2023 Jun 22. doi: 10.1007/s10995-023-03667-8. Online ahead of print.

ABSTRACT

INTRODUCTION: Reducing the Length Of postpartum Stay (LOS) is associated with lower hospital costs, a major reason for initiating federal projects in Belgium. Disadvantages following the reduction of LOS are the risks of maternal and neonatal readmissions. This study compares readmissions with or without reduced LOS, by introducing the KOZI&Home program in the university hospital Brussels.

METHODS: This is an observational study comparing the readmission rates of the length of postpartum hospital stay between two groups: the non-KOZI&Home group (> 2 days for vaginal birth and > 4 days for caesarean section) and KOZI&Home group (≤ 2 days for vaginal birth and ≤ 4 days for caesarean section). A follow-up period of 16 weeks was set up.

RESULTS: The maternal readmission rate was 4,8% for the non-KOZI&Home group (n = 332) and 3.3% for the KOZI&Home group (n = 253). Neonatal readmission rates were 7.2% and 15.9% respectively. After controlling influencing factors in a multivariate model for maternal and neonatal readmissions, there were no statistical significant differences. Factors negatively affecting neonatal readmissions are (1) dismissal period October-January (OR:3.22;95% CI 1.10-9.42) and (2) low education level (OR:3.44;95% CI 1.54-7.67), for maternal readmissions it concerns whether or not LOS is known (OR:3.26;95% CI 1.21-8.81).

DISCUSSION: There is no effect of the KOZI&Home program on maternal nor neonatal readmission rates. Systematically informing about postpartum LOS antenatally will enforce preparation and is important to reduce maternal readmissions. Personalized information should be given to women discharged in the period October-January and to those with a lower education level, in order to reduce neonatal readmissions.

PMID:37347379 | DOI:10.1007/s10995-023-03667-8

Clin Drug Investig. 2023 Jun 22. doi: 10.1007/s40261-023-01278-3. Online ahead of print.

ABSTRACT

BACKGROUND AND OBJECTIVES: Interferons have been identified as a potential treatment alternative for coronavirus disease 2019. This study assessed the safety, tolerability, bioavailability, and biological activity of inhaled interferon-α2b (IFN)-α2b in healthy adults.

METHODS: A double-blind, randomized, phase I clinical trial was conducted with two cohorts of healthy subjects aged 18-50 years. The first cohort received 2.5 MIU of inhaled IFN-α2b twice daily for 10 days (n = 6) or placebo (n = 3); the second cohort received 5.0 MIU of inhaled IFN-α2b in a similar scheme (n = 6) or placebo (n = 3). The first two doses were administered in an emergency department, then participants completed their treatment at home. Safety was measured through vital signs, new symptoms, and laboratory tests. Tolerability was measured as participants’ treatment acceptability. Bioavailability and biological activity were measured from serum IFNα concentrations and real-time quantitative polymerase chain reaction of interferon-induced genes in blood before and after treatments.

RESULTS: Exposure to inhaled IFN-α2b at 2.5-MIU or 5-MIU doses did not produce statistically significant changes in participant vital signs, or elicit new symptoms, and standard hematological and biochemical blood measurements were comparable to those recorded in individuals who received placebo. A total of 58 adverse events were observed. All were mild or moderate and did not require medical care. All participants reported very high tolerability towards a twice-daily nebulized treatment for 10 days (98.0, 97.0, and 97.0 in the placebo, 2.5-MIU, and 5-MIU groups, respectively, on a 0- to 100-mm visual analog scale). A dose-dependent mild increase in serum IFN-α concentrations and an increase in serum RNA expression of IFN-induced genes were observed 11 days after treatment (p < 0.05 for all between-group comparisons).

CONCLUSIONS: Inhaled IFN-α2b was preliminarily safe and well tolerated, and induced systemic biological activity in healthy subjects.

CLINICAL TRIAL REGISTRATION: The trial was registered in ClinicalTrials.gov (NCT04988217), 3 August, 2021.

PMID:37347370 | DOI:10.1007/s40261-023-01278-3

Med Oncol. 2023 Jun 22;40(7):210. doi: 10.1007/s12032-023-02083-w.

ABSTRACT

Breast cancer is the second most diagnosed malignancy in American women with a lifetime occurrence of 1 in 8 women in the United States. There has been a dearth of research focusing on regional differences in breast cancer mortality with respect to race in the US. It is crucial to identify regions that are lagging to uplift the outreach of breast cancer care to certain races. Data for this study were obtained from the 2016-2018 Nationwide Inpatient Sample. In-hospital mortality, race and hospital regions for the patients with the primary diagnosis of Malignant Neoplasms of Breast were studied. Baseline characteristics of participants were summarized using descriptive statistics. The patient population was stratified as per race, hospital region, gender, therapy received and family history. Logistic regression was performed to derive the odds ratio while adjusting for different variables. 99, 543 patients with metastatic breast cancer were identified. African Americans (AAs) were found to have the highest reported deaths at 5.54%, followed by Asians and Pacific Islanders at 4.80% and Caucasians 4.09% (p < 0.0001). The odds of dying were significantly higher in the AA population when compared to Caucasian population (OR 1.391 (1.286-1.504)), and the odds were consistently higher across all regions of the US. In terms of regional disparities with respect to race, AA’s had highest mortality in the south whereas all other races had the highest mortality in the west. It was seen that races identifying as “others” had significantly higher odds of dying in the Northeast. It is crucial to identify racial differences in the various regions across the US in order to implement appropriate outreach strategies to tackle these disparities.

PMID:37347351 | DOI:10.1007/s12032-023-02083-w

Mol Diagn Ther. 2023 Jun 22. doi: 10.1007/s40291-023-00659-w. Online ahead of print.

ABSTRACT

INTRODUCTION: Cardiovascular diseases (CVDs) are the leading cause of death worldwide according to World Health Organization (WHO) data. Atherosclerosis is considered as a chronic inflammatory disease that develops in response to damage to the vascular intima-media layer in most cases. In recent years, epigenetic events have emerged as important players in the development and progression of CVDs. Since noncoding RNA (ncRNAs) are important regulators in the organization of the pathophysiological processes of the cardiovascular system, they have the potential to be used as therapeutic targets, diagnostic and prognostic biomarkers. In this study long noncoding RNA (lncRNA) and mRNA gene expression were compared between coronary atherosclerotic plaques (CAP) and the internal mammary artery (IMA) which has the same genetic makeup and is exposed to the same environmental stress conditions with CAP in the same individual.

METHODS: lncRNA and mRNA gene expressions were determined using the microarray in the samples. Microarray results were validated by RT-qPCR. Differentially expressed genes (DEGs; lncRNAs and mRNAs) were determined by GeneSpring (Ver 3.0) [p values < 0.05 and fold change (FC) > 2]. DAVID bioinformatics program was used for Gene Ontology (GO) annotation and enrichment analyses of statistically significant genes between CAP and IMA tissue.

RESULTS AND CONCLUSIONS: In our study, 345 DEGs were found to be statistically significant (p < 0.05; FC > 2) between CAP and IMA. Of these, 65 were lncRNA and 280 were mRNA. Thirty-three lncRNAs were upregulated, while 32 lncRNAs were downregulated. Some of the important mRNAs are SPP1, CYP4B1, CHRDL1, MYOC, and ALKAL2, while some of the lncRNAs are LOC105377123, LINC01857, DIO3OS, LOC101928134, and KCNA3 between CAP and IMA tissue. We also identified genes that correlated with statistically significant lncRNAs. The results of this study are expected to be an important source of data in the development of new genetically based drugs to prevent atherosclerotic plaque. In addition, the data obtained may contribute to the explanation of the epigenetic mechanisms that play a role in the pathological basis of the process that protects the IMA from atherosclerosis.

PMID:37347334 | DOI:10.1007/s40291-023-00659-w

Environ Sci Pollut Res Int. 2023 Jun 22. doi: 10.1007/s11356-023-27071-5. Online ahead of print.

ABSTRACT

Value at Risk and Expected Shortfall are two traditional tools used to measure extreme risk in financial markets. However, there is little research on measuring extreme risk in emerging markets such as green bonds and clean energy. This paper uses both semi-parametric models with simultaneous excitation functions and traditional models to estimate extreme risk in SP500 Green Bond (GB) and Global Clean Energy (GCE), selecting Expected Shortfall (ES) and Value at Risk (VaR) as the indices of extreme risk. Then, the paper uses a breakpoint scan of the predictions of the different types of models. The results find that the green bond market was relatively stable while the global clean energy market experienced sharp fluctuations after the COVID-19 pandemic outbreak. Representative models in GCE have at least two breakpoints, but those for GB have no breakpoints. The GARCH model with normal innovations performs the best among all target models, and the GARCH-FZ model fits the best among all semi-parametric candidates. Our research could help governments, companies, and investors with risk management and improve model accuracy and mechanisms for measuring extreme risks.

PMID:37347333 | DOI:10.1007/s11356-023-27071-5