Nevin Manimala

J Occup Environ Hyg. 2024 Apr 1:1-13. doi: 10.1080/15459624.2024.2323108. Online ahead of print.

ABSTRACT

The COVID-19 pandemic led to widespread consequences for economic, social, and general wellbeing with rates of anxiety and depression increasing across the population and disproportionately for some workers. This study explored which factors were the most salient contributors to mental health through a cross-sectional 68-item questionnaire that addressed topics related to the pandemic. Data were collected through an address-based sampling frame over the two months from April 2022 to June 2022. A total of 2,049 completed surveys were collected throughout Chicago’s 77 Community Areas. Descriptive statistics including frequency and percentages were generated to describe workplace characteristics, work-related stress, and sample demographics and their relationship to psychological distress. Independent participant and workplace factors associated with the outcomes were identified using multivariable logistic regression. The weighted prevalence of persons experiencing some form of psychological distress from mild to serious was 32%. After adjusting for potential confounding factors, certain marginalized communities experienced psychological distress more than others including females, adults over the age of 25 years of age, and people with higher income levels. Those who had been laid off, lost pay, or had reduced hours had increased odds of psychological distress (aOR = 1.71, CI_95% 1.14-2.56; p = 0.009) as did people that reported that their work-related stress was somewhat or much worse as compared to before the COVID-19 pandemic (aOR = 2.22, CI_95% 1.02-4.82; p = 0.04, aOR = 11.0, CI_95% 4.65-26.1; p < 0.001, respectively). These results warrant further investigation and consideration in developing workplace and mental health interventions.

PMID:38560920 | DOI:10.1080/15459624.2024.2323108

Ann Intern Med. 2024 Apr 2. doi: 10.7326/M23-2975. Online ahead of print.

ABSTRACT

BACKGROUND: Elevated tuberculosis (TB) incidence rates have recently been reported for racial/ethnic minority populations in the United States. Tracking such disparities is important for assessing progress toward national health equity goals and implementing change.

OBJECTIVE: To quantify trends in racial/ethnic disparities in TB incidence among U.S.-born persons.

DESIGN: Time-series analysis of national TB registry data for 2011 to 2021.

SETTING: United States.

PARTICIPANTS: U.S.-born persons stratified by race/ethnicity.

MEASUREMENTS: TB incidence rates, incidence rate differences, and incidence rate ratios compared with non-Hispanic White persons; excess TB cases (calculated from incidence rate differences); and the index of disparity. Analyses were stratified by sex and by attribution of TB disease to recent transmission and were adjusted for age, year, and state of residence.

RESULTS: In analyses of TB incidence rates for each racial/ethnic population compared with non-Hispanic White persons, incidence rate ratios were as high as 14.2 (95% CI, 13.0 to 15.5) among American Indian or Alaska Native (AI/AN) females. Relative disparities were greater for females, younger persons, and TB attributed to recent transmission. Absolute disparities were greater for males. Excess TB cases in 2011 to 2021 represented 69% (CI, 66% to 71%) and 62% (CI, 60% to 64%) of total cases for females and males, respectively. No evidence was found to indicate that incidence rate ratios decreased over time, and most relative disparity measures showed small, statistically nonsignificant increases.

LIMITATION: Analyses assumed complete TB case diagnosis and self-report of race/ethnicity and were not adjusted for medical comorbidities or social determinants of health.

CONCLUSION: There are persistent disparities in TB incidence by race/ethnicity. Relative disparities were greater for AI/AN persons, females, and younger persons, and absolute disparities were greater for males. Eliminating these disparities could reduce overall TB incidence by more than 60% among the U.S.-born population.

PRIMARY FUNDING SOURCE: Centers for Disease Control and Prevention.

PMID:38560914 | DOI:10.7326/M23-2975

Ann Intern Med. 2024 Apr 2. doi: 10.7326/M23-2540. Online ahead of print.

ABSTRACT

BACKGROUND: Monoclonal gammopathy of undetermined significance (MGUS) and smoldering multiple myeloma (SMM) are asymptomatic precursor conditions to multiple myeloma and related disorders. Smoldering multiple myeloma is distinguished from MGUS by 10% or greater bone marrow plasma cells (BMPC) on sampling, has a higher risk for progression, and requires specialist management.

OBJECTIVE: To develop a multivariable prediction model that predicts the probability that a person with presumed MGUS has 10% or greater BMPC (SMM or worse by bone marrow criteria) to inform the decision to obtain a bone marrow sample and compare its performance to the Mayo Clinic risk stratification model.

DESIGN: iStopMM (Iceland Screens, Treats or Prevents Multiple Myeloma), a prospective population-based screening study of MGUS. (ClinicalTrials.gov: NCT03327597).

SETTING: Icelandic population of adults aged 40 years or older.

PATIENTS: 1043 persons with IgG, IgA, light-chain, and biclonal MGUS detected by screening and an interpretable bone marrow sample.

MEASUREMENTS: Monoclonal gammopathy of undetermined significance isotype; monoclonal protein concentration; free light-chain ratio; and total IgG, IgM, and IgA concentrations were used as predictors. Bone marrow plasma cells were categorized as 0% to 4%, 5% to 9%, 10% to 14%, or 15% or greater.

RESULTS: The c-statistic for SMM or worse was 0.85 (95% CI, 0.82 to 0.88), and calibration was excellent (intercept, -0.07; slope, 0.95). At a threshold of 10% predicted risk for SMM or worse, sensitivity was 86%, specificity was 67%, positive predictive value was 32%, and negative predictive value was 96%. Compared with the Mayo Clinic model, the net benefit for the decision to refer for sampling was between 0.13 and 0.30 higher over a range of plausible low-risk thresholds.

LIMITATION: The prediction model will require external validation.

CONCLUSION: This accurate prediction model for SMM or worse was developed in a population-based cohort of persons with presumed MGUS and may be used to defer bone marrow sampling and referral to hematology.

PRIMARY FUNDING SOURCE: International Myeloma Foundation and the European Research Council.

PMID:38560901 | DOI:10.7326/M23-2540

Environ Sci Technol. 2024 Apr 1. doi: 10.1021/acs.est.3c10467. Online ahead of print.

ABSTRACT

Predicting the hotspots of antimicrobial resistance (AMR) in aquatics is crucial for managing associated risks. We developed an integrated modeling framework toward predicting the spatiotemporal abundance of antibiotics, indicator bacteria, and their corresponding antibiotic-resistant bacteria (ARB), as well as assessing the potential AMR risks to the aquatic ecosystem in a tropical reservoir. Our focus was on two antibiotics, sulfamethoxazole (SMX) and trimethoprim (TMP), and on Escherichia coli (E. coli) and its variant resistant to sulfamethoxazole-trimethoprim (EC_SXT). We validated the predictive model using withheld data, with all Nash-Sutcliffe efficiency (NSE) values above 0.79, absolute relative difference (ARD) less than 25%, and coefficient of determination (R²) greater than 0.800 for the modeled targets. Predictions indicated concentrations of 1-15 ng/L for SMX, 0.5-5 ng/L for TMP, and 0 to 5 (log₁₀ MPN/100 mL) for E. coli and -1.1 to 3.5 (log₁₀ CFU/100 mL) for EC_SXT. Risk assessment suggested that the predicted TMP could pose a higher risk of AMR development than SMX, but SMX could possess a higher ecological risk. The study lays down a hybrid modeling framework for integrating a statistic model with a process-based model to predict AMR in a holistic manner, thus facilitating the development of a better risk management framework.

PMID:38560895 | DOI:10.1021/acs.est.3c10467

ACS Phys Chem Au. 2024 Jan 18;4(2):167-179. doi: 10.1021/acsphyschemau.3c00051. eCollection 2024 Mar 27.

ABSTRACT

Intrinsically disordered regions of proteins are responsible for many biological processes such as in the case of liver kinase B1 (LKB1)-a serine/threonine kinase relevant for cell proliferation and cell polarity. LKB1 becomes fully activated upon recruitment to the plasma membrane by binding of its disordered C-terminal polybasic motif consisting of eight lysines/arginines to phospholipids. Here, we present extensive molecular dynamics (MD) simulations of the polybasic motif interacting with a model membrane composed of 1-palmitoyl-2-oleoyl-sn-glycero-3-phosphocholine (POPC) and 1-palmitoyl-2-oleyl phosphatidic acid (PA) and cell culture experiments. Protein-membrane binding effects are due to the electrostatic interactions between the polybasic amino acids and PAs. For significant binding, the first three lysines turn out to be dispensable, which was also recapitulated in cell culture using transfected GFP-LKB1 variants. LKB1-membrane binding results in nonmonotonous changes in the structure of the protein as well as the membrane, in particular, accumulation of PAs and reduced thickness at the protein-membrane contact area. The protein-lipid binding turns out to be highly dynamic due to an interplay of PA-PA repulsion and protein-PA attraction. The thermodynamics of this interplay is captured by a statistical fluctuation model, which allows the estimation of both energies. Quantification of the significance of each polar amino acid in the polybasic provides detailed insights into the molecular mechanism of protein-membrane binding of LKB1. These results can likely be transferred to other proteins, which interact by intrinsically disordered polybasic regions with anionic membranes.

PMID:38560754 | PMC:PMC10979486 | DOI:10.1021/acsphyschemau.3c00051

Heliyon. 2024 Mar 15;10(6):e28240. doi: 10.1016/j.heliyon.2024.e28240. eCollection 2024 Mar 30.

ABSTRACT

PURPOSE: Through this study, we assess whether night shift work increases the risk of osteoporosis, and explore the effects of age, gender, or lifestyle differences.

METHODS: This cross-sectional study included the collection of data from a sample of the US adults who participated in the National Health and Nutrition Examination Survey (NHANES) over a 7.3-year period (2007-2008, 2009-2010, 2017-March2020), including 4408 participants (2351[52.8%] men and 2057[47.2%] women), with an age range of 20-80 years. The primary variables, health status, nutrition, harmful lifestyle habits, and bone mineral density (BMD), were segregated, and analyzed according to different work schedules. Linear regression models were conducted to evaluate correlations of night shift work and T-scores. Associations between night shift work and osteoporosis were examined using logistic regression analyses. All regression models were stratified by gender and age ≥50 years. Osteoporosis was defined as BMD at the femoral neck or total spine equal to or less than 2.5 standard deviations below the mean for youthful people of the same gender. All data were obtained using questionnaires and examinations collected in mobile examination center (MEC) from NHANES.

RESULTS: After multivariate adjustment, night shift work was related to statistically significant decreases of the total spine in T-scores of females aged ≥50 years. Furthermore, night shift work of the overall population (OR = 2.31 [95% CI, 1.03-5.18]; P = 0.043) and females aged ≥50 years (OR = 4.6 [95% CI, 1.21-17.54]; P = 0.025) was related to an increased prevalence of osteoporosis.

CONCLUSION: Night shift work correlates with a higher risk of osteoporosis in the population of the US adults, with the combined effect of age, gender, and harmful lifestyle.

PMID:38560700 | PMC:PMC10979223 | DOI:10.1016/j.heliyon.2024.e28240

Heliyon. 2024 Mar 20;10(6):e27831. doi: 10.1016/j.heliyon.2024.e27831. eCollection 2024 Mar 30.

ABSTRACT

This study aims to analyze the role of green transformational leadership and human resource management in organizational performance with the mediating effect of green innovation. The study also proposes the moderating role of commitment to management change. The study used a quantitative research method with a random sampling technique and surveyed 235 managers from the Cement industry across Pakistan. The statistical techniques used to assess the study’s hypotheses were partial least squares structural equation modeling (PLS-SEM) and SPSS. The findings show that green transformational leadership and HRM positively impact organizational performance, with green innovation partially mediating effect. Furthermore, affective commitment to management change strongly moderates the relationship between green innovation and organizational performance. In addition, the proposed relationship is based on the resource-based view (RBV) theory. Therefore, Managers and executives should adopt green principles and practices and build an environmentally friendly culture that encourages employees to engage in green behaviors and activities to improve organizational performance. To successfully implement green practices in a developing country like Pakistan, the Cement sector must understand how the cement industry improves its performance and whether employees demonstrate green innovation.

PMID:38560687 | PMC:PMC10979169 | DOI:10.1016/j.heliyon.2024.e27831

Heliyon. 2024 Mar 13;10(6):e27862. doi: 10.1016/j.heliyon.2024.e27862. eCollection 2024 Mar 30.

ABSTRACT

All over the world, the level of special air pollutants that have the potential to cause diseases is increasing. Although the relationship between exposure to air pollutants and mortality has been proven, the health risk assessment and prediction of these pollutants have a therapeutic role in protecting public health, and need more research. The purpose of this research is to evaluate the ill-health caused by PM_2.5 pollution using AirQ ⁺ software and to evaluate the different effects on PM_2.5 with time series linear modeling by R software version 4.1.3 in the cities of Arak, Esfahan, Ahvaz, Tabriz, Shiraz, Karaj and Mashhad during 2019-2020. The pollutant hours, meteorology, population and mortality information were calculated by the Environmental Protection Organization, Meteorological Organization, Statistics Organization and Statistics and Information Technology Center of the Ministry of Health, Treatment and Medical Education for 24 h of PM_2.5 pollution with Excel software. In addition, having 24 h of PM_2.5 pollutants and meteorology is used to the effect of variables on PM_2.5 concentration. The results showed that the highest and lowest number of deaths due to natural deaths, ischemic heart disease (IHD), lung cancer (LC), chronic obstructive pulmonary disease (COPD), acute lower respiratory infection (ALRI) and stroke in The effect of disease with PM_2.5 pollutant in Ahvaz and Arak cities was 7.39-12.32%, 14.6-17.29%, 16.48-8.39%, 10.43-18.91%, 12.21-22.79% and 14.6-18.54 % respectively. Another result of this research was the high mortality of the disease compared to the mortality of the nose. The analysis of the results showed that by reducing the pollutants in the cities of Karaj and Shiraz, there is a significant reduction in mortality and linear modeling provides a suitable method for air management planning.

PMID:38560684 | PMC:PMC10979144 | DOI:10.1016/j.heliyon.2024.e27862

Cancer Manag Res. 2024 Mar 25;16:245-257. doi: 10.2147/CMAR.S439787. eCollection 2024.

ABSTRACT

PURPOSE: Large animal models are still used in many studies because of their likeness to humans. It has not been documented that regular-sized conventional farm-breed pigs, generally bred for meat production, can be used to generate hepatocellular carcinoma (HCC) animal models. The goal of this study was to investigate how N-diethylnitrosamine (DENA) and phenobarbital (PB) together can generate HCC in ordinary farmed pigs.

MATERIALS AND METHODS: Conventional domestic swine (Sus scrofa domesticus) were used. DENA 15 mg/kg was intraperitoneally injected weekly for 12 weeks, while PB tablets (4 mg/kg) were also administered through food for 16 weeks. Blood testing and ultrasonography evaluation were performed to monitor the progress. Subsequently, computed tomography was conducted in cases with suspected nodules, followed by histopathological examination to confirm the diagnosis.

RESULTS: Ten swine (seven males, three females; age: 2 months; weight: 9-15 kg) were included in the study and followed up for 25 months; nine were experimental, and one was control for ethical considerations. The maximum weight of animals during this study reached 162-228 kg. The weight gain seen in the intervention swine was predominantly lower than that documented in the control. The laboratory analysis revealed no notable abnormalities in liver function markers but did demonstrate statistically significant changes in urea (p = 0.028) and creatinine (p = 0.003) levels. Ultrasonography and computed tomography showed multiple liver nodules with characteristics resembling HCC. Serial imaging screening and more extended observations revealed that all animals eventually developed tumors. Histopathological confirmation at 15-22 weeks post-induction revealed that all intervened swine developed multiple nodules of well-differentiated HCC and some with hepatic angiosarcoma.

CONCLUSION: This study successfully generated HCC in conventional domestic swine with a DENA and PB combination. This investigation required at least 15 months to develop tumors. This model will be beneficial for future investigations of HCC in large animals.

PMID:38560662 | PMC:PMC10979671 | DOI:10.2147/CMAR.S439787

Am Heart J Plus. 2022 Nov 3;23:100222. doi: 10.1016/j.ahjo.2022.100222. eCollection 2022 Nov.

ABSTRACT

INTRODUCTION: Ticagrelor has been established as the P2Y₁₂-inhibitor of choice in ST-segment elevation myocardial infarction (STEMI) patients undergoing primary percutaneous coronary intervention (PCI); however, its use has not been adequately studied in the context of thrombolysis. In the present study, we sought to investigate whether the administration of ticagrelor together with thrombolysis could result in a greater degree of left ventricular systolic function recovery compared to clopidogrel, at 90 days post-STEMI, as well as to evaluate post-PCI corrected TIMI Frame Count (CTFC) as a predictive marker of myocardial recovery in thrombolysis-treated patients.

MATERIAL AND METHODS: In this pre-specified analysis of the MIRTOS trial, the degree of change in left ventricular ejection fraction (ΔLVEF) and left ventricular longitudinal strain (ΔLV-GLS) from baseline to 90 days post-randomization in all patients who underwent conventional and speckle-tracking echocardiography at both timepoints was compared between the ticagrelor and clopidogrel groups. In addition, speckle-tracking echocardiographic measurements were evaluated for any correlations to post-PCI CTFC.

RESULTS: No statistically significant differences were detected between the ticagrelor and clopidogrel groups for ΔLVEF (+3.61 ± 5.08 % versus +2.21 ± 4.78 %; P = 0.18) and ΔLV-GLS (-1.53 ± 2.7 % versus -1.21 ± 3.05 %; P = 0.73). A strong negative correlation was found between post-PCI CTFC and the absolute value of LV-GLS at 90 days post-randomization (r = -0.33, P = 0.014).

CONCLUSIONS: Our work suggests that both P2Y12-inhibitors are accompanied with a similar degree of myocardial recovery in the context of lytic therapy. Importantly, post-PCI microvascular integrity is a predictor of 3-month left ventricular systolic function in STEMI patients initially treated with thrombolysis.

PMID:38560654 | PMC:PMC10978385 | DOI:10.1016/j.ahjo.2022.100222