Multiple Linear Regression Models Research Articles

Analysis of pelvic floor muscle electromyography parameters in women with or without sexual dysfunction.

Background To investigate the differences in pelvic floor muscle (PFM) electromyography (EMG) parameters between women with or without sexual dysfunction (FSD) and their correlations. Methods Women who voluntarily participated in a questionnaire-based survey on sexual function and underwent PFM EMG in Weifang People's Hospital during the period from March 2021 to December 2021 were retrospectively enrolled. The female sexual (dys)function was measured using the Female Sexual Function Index. Glazer PFM EMG was performed using a Melander instrument (MLD A2 Deluxe). The differences in PFM EMG parameters between women with or without FSD were compared, and the relationships between PFM EMG parameters and FSD were analysed using multiple linear regression models. Results A total of 305 women were enrolled, with 163 in the FSD group and 142 in the non-FSD group. Comparisons of PFM EMG parameters between these two groups revealed that the FSD group had significantly higher peak EMG amplitude during the phasic (flick) contractions and shorter recovery latency during the tonic contractions than the non-FSD group (both P P Conclusions The results of the pelvic floor EMG in this study suggest that the pelvic floor muscles of women with FSD may be more susceptible to fatigue, and may have poorer coordination of their pelvic floor muscles.

Improving stormwater infiltration and retention in compacted urban soils at impervious/pervious surface disconnections with biochar

Urban development often results in compacted soils, impairing soil structure and reducing the infiltration and retention of stormwater runoff from impervious features. Biochar is a promising organic soil amendment to improve infiltration and retention of stormwater runoff. Soil at the disconnection between impervious and pervious surfaces represents a critical biochar application point for stormwater management from urban impervious features. This study tested the hypothesis that biochar would significantly improve water retention and transmission at four sites, where varying percentages (0%, 2%, and 4% w/w) of biochar were amended to soils between impervious pavement, and pervious grassed slopes. Field-saturated hydraulic conductivity (Ksat) and easily drainable water storage capacity were monitored at these sites for five months (two sites) and 15 months (two sites). At the end of the monitoring periods, the physical, chemical, and biological properties of each site's soil were assessed to understand the impact of biochar on soil aggregation, which is critical for improved soil structure and water infiltration. Results indicated that the field Ksat, drainable water storage capacity, and plant available water content (AWC) were 7.1 ± 3.6 SE, 2.0 ± 0.3 SE, and 2.1 ± 0.3 SE times higher in soils amended with 4% biochar, respectively, compared to the undisturbed soil. Factor analysis elucidated that biochar amendment increased the organic matter content, aggregate mean weight diameter, organo-mineral content, and fungal hyphal length while decreasing the bulk density. Across the 12 biochar/soil combinations, the multiple linear regression models derived from factor analysis described the changes in Ksat and AWC reasonably well with R2 values of 0.51 and 0.71, respectively. Using soil and biochar properties measured before biochar addition, two recent models, developed from laboratory investigations, were found helpful as screening tools to predict biochar's effect on Ksat and AWC at the four field sites. Overall, the findings illustrate that biochar amendment to compacted urban soils can significantly improve soil structure and hydraulic function at impervious/pervious surface disconnections, and screening models help to predict biochar's effectiveness in this context.

DNA methylation signatures of youth-onset type 2 diabetes and exposure to maternal diabetes

ObjectiveYouth-onset type 2 diabetes (T2D) is physiologically distinct from adult-onset, but it is not clear how the two diseases differ at a molecular level. In utero exposure to maternal type 2 diabetes (T2D) is known to be a specific risk factor for youth-onset T2D. DNA methylation (DNAm) changes associated with T2D but which differ between youth- and adult-onset might delineate the impacts of T2D development at different ages and could also determine the contribution of exposure to in utero diabetes.MethodsWe performed an epigenome-wide analysis of DNAm on whole blood from 218 youth with T2D and 77 normoglycemic controls from the iCARE (improving renal Complications in Adolescents with type 2 diabetes through REsearch) cohort. Associations were tested using multiple linear regression models while adjusting for maternal diabetes, sex, age, BMI, smoking status, second-hand smoking exposure, cell-type proportions and genetic ancestry.ResultsWe identified 3830 differentially methylated sites associated with youth T2D onset, of which 3794 were moderately (adjusted p-value < 0.05 and effect size estimate > 0.01) associated and 36 were strongly (adjusted p-value < 0.05 and effect size estimate > 0.05) associated. A total of 3725 of these sites were not previously reported in the EWAS Atlas as associated with T2D, adult obesity or youth obesity. Moreover, three CpGs associated with youth-onset T2D in the PFKFB3 gene were also associated with maternal T2D exposure (FDR < 0.05 and effect size > 0.01). This is the first study to link PFKFB3 and T2D in youth.ConclusionOur findings support that T2D in youth has different impacts on DNAm than adult-onset, and suggests that changes in DNAm could provide an important link between in utero exposure to maternal diabetes and the onset of T2D.

Association between serum vitamin A and body mass index in adolescents from NHANES 1999 to 2006

Vitamin A plays a pivotal role in health, particularly in regulating fat metabolism. Despite its significance, research into the direct relationship between vitamin A levels and obesity, especially among adolescents, is sparse. This study aims to explore this association within the adolescent population in the United States. This cross-sectional study analyzed the National Health and Nutrition Examination Survey (NHANES) data from 1999 to 2006, with 8218 participants. The levels of vitamin A in the serum were determined based on utilizing high-performance liquid chromatography with photodiode array detection. The relationship between serum vitamin A concentrations and body mass index (BMI) was evaluated using weighted multiple linear regression models, incorporating subgroup analyses by sex and race/ethnicity to provide nuanced insights. A positive correlation was observed between serum vitamin A levels and BMI, with BMI increasing progressively across vitamin A quartiles (P < 0.001). Using the lowest quartile of serum vitamin A as a reference, the BMI of the highest quartile of serum vitamin A was 1.236 times higher (95% CI 0.888, 1.585). Subgroup analyses revealed that this positive association persisted across different genders and racial/ethnic groups (P < 0.001). Notably, smooth curve fitting and saturation threshold analysis unveiled an inverted U-shaped relationship between serum vitamin A and BMI among female adolescents, non-Hispanic Whites, Mexican Americans, and other races/ethnicities groups. Our study substantiates the association between serum vitamin A levels and the risk of obesity/overweight status in adolescents. The findings suggest the potential serum vitamin A is an early biomarker for identifying obesity risk, although further studies are needed to determine to clarify its role as a contributing factor to obesity. This study contributes to the understanding of nutritional influences on adolescent obesity, highlighting the need for targeted interventions based on serum biomarkers.

Assessing the Impact of Inflation and Exchange Rate on Nigerian Gross Domestic Product (1981-2022)

This study evaluated the impact of inflation and exchange rate on the Nigerian Gross Domestic Product (GDP) from 1981 to 2022. The data for this study were obtained from Central Bank of Nigeria Statistical Bulletin. Multiple Linear Regression model was adopted for the study to determine the relationship between the GDP, the inflation and exchange rates and the result showed that there is a significant relationship with the p-value (0.005). The result also showed with Ordinary Least Square (OLS) method that inflation rate has a negative impact on the Nigerian GDP while exchange rate is significant with (p-value &lt;0,005) over the years of study. The value of the coefficient of variation R2 for this research is 92.2% indicating that inflation and exchange rate account for about 92% of the variation in the GDP over the years of study. It was observed there was an increase in exchange rate and price level is also detrimental to the economic growth, this means it contributes to the growth of Nigerian GDP over the period of study.

Association between psychological resilience and body mass index in a community-based population: A cross-sectional study.

While earlier studies have focused on the relationship between stress and obesity, there was a gap in understanding the potential impact of positive psychological factors, such as resilience, on obesity. By investigating the role of psychological resilience with obesity, this study aimed to address this gap and tackle obesity through a positive psychological framework. Participants consisted of 2445 community residents from Shenzhen, China, with a mean age of 41.09±13.72years, comprising 846 males and 1599 females. Psychological resilience was measured using the Brief Resilience Scale; gender, age, marital status, education level, smoking status, alcohol consumption, frequency of physical exercise, and perceived stress were considered potential confounding factors. The relationship between psychological resilience and body mass index (BMI) was examined through multiple linear regression and logistic regression analyses. The participants had an average psychological resilience score of 3.46 (standard deviation [SD]=0.62) and an average BMI of 22.59 (SD=3.35), with 104 individuals (4.3%) identified with obesity. In the fully adjusted multiple linear regression model, a higher psychological resilience score was associated with a higher BMI (β=0.507, 95% CI:0.283, 0.731). In the logistic regression model, higher psychological resilience scores were linked to increased obesity risk, with a more significant association observed among males (odds ratio [OR]=2.169, 95% CI:1.155, 4.073), while psychological resilience acted as a protective factor against underweight among females (OR=0.528, 95% CI:0.376, 0.816). The study demonstrated a significant link between higher psychological resilience and elevated BMI, emphasizing the complex relationship between psychological fortitude and weight management. Interventions targeting socioeconomic status, education, lifestyle habits, and physiological well-being might offer a promising strategy for enhancing psychological resilience and promoting healthier weight. Emphasizing self-efficacy and coping skills at the individual level could contribute to balanced weight and comprehensive health outcomes, addressing the global challenge of obesity.

Cerebrospinal fluid α-synuclein adds the risk of cognitive decline and is associated with tau pathology among non-demented older adults

BackgroundThe role of α-synuclein in dementia has been recognized, yet its exact influence on cognitive decline in non-demented older adults is still not fully understood.MethodsA total of 331 non-demented individuals were included in the study from the Alzheimer’s Disease Neuroimaging Initiative (ADNI). Participants were divided into two distinct groups based on their α-synuclein levels: one with lower levels (α-synuclein-L) and another with higher levels (α-synuclein-H). Measurements included neuropsychiatric scales, cerebrospinal fluid (CSF) biomarkers, and blood transcriptomics. The linear mixed-effects model investigated the longitudinal changes in cognition. Kaplan-Meier survival analysis and the Cox proportional hazards model were utilized to evaluate the effects of different levels of α-synuclein on dementia. Gene set enrichment analysis (GSEA) was utilized to investigate the biological pathways related to cognitive impairment. Pearson correlation, multiple linear regression models, and mediation analysis were employed to investigate the relationship between α-synuclein and neurodegenerative biomarkers, and their potential mechanisms affecting cognition.ResultsHigher CSF α-synuclein levels were associated with increased risk of cognitive decline and progression to dementia. Enrichment analysis highlighted the activation of tau-associated and immune response pathways in the α-synuclein-H group. Further correlation and regression analysis indicated that the CSF α-synuclein levels were positively correlated with CSF total tau (t-tau), phosphorylated tau (p-tau) 181, tumor necrosis factor receptor 1 (TNFR1) and intercellular cell adhesion molecule-1 (ICAM-1). Mediation analysis further elucidated that the detrimental effects of CSF α-synuclein on cognition were primarily mediated through CSF t-tau and p-tau. Additionally, it was observed that CSF α-synuclein influenced CSF t-tau and p-tau181 levels via inflammatory pathways involving CSF TNFR1 and ICAM-1.ConclusionsThese findings elucidate a significant connection between elevated levels of CSF α-synuclein and the progression of cognitive decline, highlighting the critical roles of activated inflammatory pathways and tau pathology in this association. They underscore the importance of monitoring CSF α-synuclein levels as a promising biomarker for identifying individuals at increased risk of cognitive deterioration and developing dementia.

CAIDE Score, Alzheimer's Disease Pathology, and Cognition in Cognitively Normal Adults: The CABLE Study.

Cardiovascular Risk Factors, Ageing and Dementia (CAIDE) risk score serves as a credible predictor of an individual's risk of dementia. However, studies on the link of the CAIDE score to Alzheimer's disease (AD) pathology are scarce. To explore the links of CAIDE score to cerebrospinal fluid (CSF) biomarkers of AD as well as to cognitive performance. In the Chinese Alzheimer's Biomarker and LifestylE (CABLE) study, we recruited 600 cognitively normal participants. Correlations between the CAIDE score and CSF biomarkers of AD as well as cognitive performance were probed through multiple linear regression models. Whether the correlation between CAIDE score and cognitive performance was mediated by AD pathology was researched by means of mediation analyses. Linear regression analyses illustrated that CAIDE score was positively associated with tau-related biomarkers, including pTau (p < 0.001), tTau (p < 0.001), as well as tTau/Aβ42 (p = 0.008), while it was in negative association with cognitive scores, consisting of MMSE score (p < 0.001) as well as MoCA score (p < 0.001). The correlation from CAIDE score to cognitive scores was in part mediated by tau pathology, with a mediation rate varying from 3.2% to 13.2% . A higher CAIDE score, as demonstrated in our study, was linked to more severe tau pathology and poorer cognitive performance, and tau pathology mediated the link of CAIDE score to cognitive performance. Increased dementia risk will lead to cognitive decline through aggravating neurodegeneration.

Role of fronto-limbic circuit in neuropsychiatric symptoms of dementia: clinical evidence from an exploratory study

BackgroundNeuropsychiatric symptoms (NPSs) are a distressful aspect of dementia and the knowledge of structural correlates of NPSs is limited. We aimed to identify associations of fronto-limbic circuit with specific NPSs in patients with various types of cognitive impairment.MethodsOf 84 participants, 27 were diagnosed with mild cognitive impairment (MCI), 41 with Alzheimer’s disease (AD) dementia and 16 with non-AD dementia. In all patients we assessed regional brain morphometry using a region of interest (ROI)-based analysis. The mean cortical thickness (CT) of 20 cortical regions and the volume (V) of 4 subcortical areas of the fronto-limbic system were extracted. NPSs were rated with the Neuropsychiatric Inventory (NPI). We used multiple linear regression models adjusted for age and disease duration to identify significant associations between scores of NPI sub-domains and MRI measures of brain morphometry.ResultsAll significant associations found were negative, except those between irritability and the fronto-opercular regions in MCI patients (corresponding to a 40-50% increase in CT) and between delusions and hippocampus and anterior cingulate gyrus (with a 40-60% increase). Apathy showed predominant involvement of the inferior frontal regions in AD group (a 30% decrease in CT) and of the cingulate cortex in non-AD group (a 50-60% decrease in CT). Anxiety correlated in MCI patients with the cingulate gyrus and caudate, with a CT and V decrease of about 40%, while hallucinations were associated with left enthorinal gyrus and right amygdala and temporal pole. Agitation showed associations in the AD group with the frontal regions and the temporal pole, corresponding to a 30-40% decrease in CT. Euphoria, disinhibition and eating abnormalities were associated in the MCI group with the entorhinal, para-hippocampal and fusiform gyri, the temporal pole and the amygdala (with a 40-70% decrease in CT and V). Finally, aberrant motor behavior reported a significant association with frontal and cingulate regions with a 50% decrease in CT.ConclusionOur findings indicate that specific NPSs are associated with the structural involvement of the fronto-limbic circuit across different types of neurocognitive disorders. Factors, such as age and disease duration, can partly account for the variability of the associations observed.

Penerapan Model Regresi Linier dalam Prediksi Harga Mobil Bekas di India dan Visualisasi dengan Menggunakan Power BI

The growing message of the global automotive industry has led to an increase in used car sales, especially in unique consumer behavior markets like India. Pricing used cars presents challenges due to inconsistent factors such as mileage and age. This study aims to contribute to the understanding of the used car market in India and provide valuable information for business owners and industry players to make informed decisions. The results show that linear regression is accurate and forms a multiple linear regression model y = -1998.21+ 9.9 X1+ 1.22 X2+ 1.3 X3 -8.07 X4+ 1.83 5889267114422 and UMK 49.222702208411334. Apart from that, in the testing process the model built had an accuracy level of 71.09%. This research aims to predict used car prices by considering influencing factors, and the results will be presented visually to provide business owners with more interactive information.

Assessing the safety of bedaquiline: insight from adverse event reporting system analysis

BackgroundThe development and marketing of Bedaquiline (BDQ) represent significant advancements in treating tuberculosis, particularly multidrug-resistant forms. However, comprehensive research into BDQ’s real-world safety remains limited.PurposeWe obtained BDQ related adverse event (AE) information from the US Food and Drug Administration’s Adverse Event Reporting System (FAERS) to assess its safety and inform drug usage.MethodsThe AE data for BDQ from 2012 Q4 to 2023 Q3 was collected and standardized. Disproportionality analysis, including Reporting Odds Ratio (ROR), Proportional Reporting Ratio (PRR), Multi-item Gamma Poisson Shrinker (MGPS), and Bayesian Confidence Propagation Neural Network (BCPNN) was used to quantify signals of BDQ-related AEs. Logistic regression was used to analyze the individual data of hepatotoxicity and drug-induced liver injury, and multiple linear regression models were established. Additionally, network pharmacology was employed to identify the potential biological mechanisms of BDQ-induced liver injury.ResultsWe identified 2017 case reports directly related to BDQ. Our analysis identified 341 Preferred Terms (PTs) characterizing these AEs across 27 System Organ Classes (SOC). An important discovery was the identification of AEs associated with ear and labyrinth disorders, which had not been documented in the drug’s official leaflet before. Subgroup analysis revealed a negative correlation between BDQ-related liver injury and females (OR: 0.4, 95%CI: 0.3–0.6). In addition, via network pharmacology approach, a total of 76 potential targets for BDQ related liver injury were predicted, and 11 core target genes were selected based on the characterization of protein-protein interactions. The pathway linked to BDQ-induced liver injury was identified, and it was determined that the PI3K-Akt signaling pathway contained the highest number of associated genes.ConclusionThe analysis of the FAERS database revealed adverse events linked to BDQ, prompting the use of a network pharmacology approach to study the potential molecular mechanism of BDQ-induced liver injury. These findings emphasized the significance of drug safety and offered understanding into the mechanisms behind BDQ-induced liver injury. BDQ demonstrated distinct advantages, including reduced incidence of certain adverse events compared to traditional treatments such as injectable agents and second-line drugs. However, it is important to acknowledge the limitations of this analysis, including potential underreporting and confounding factors. This study provides valuable insights into the safety of BDQ and its role in the management of MDR-TB, emphasizing the need for continued surveillance and monitoring to ensure its safe and effective use.

[SI 21/3] L3 English in the German secondary school context: longitudinal development of bilingual heritage speakers’ multilingual repertoire

ABSTRACT A multilingual experience can be considered a significant asset. However, since the earliest studies in the field, research has reported mixed results regarding potential advantages such as increased cognitive ability and metalinguistic awareness. Moreover, studies investigating the influence of bilingualism/multilingualism on the acquisition of additional languages produced partially conflicting findings. This longitudinal study (three measurement time points within 1.5 years) investigates the impact of social, cognitive, and linguistic variables on English proficiency. We rely on data gathered from 374 unbalanced bilinguals (Russian-/Turkish-German), dominant in German, and 600 monolingual (German) students attending grades seven to ten in Germany. We use multiple linear regression models predicting English proficiency to track longitudinal changes. The results show that German reading proficiency and visual-spatial cognitive ability positively impact L2/L3 English C-test scores. In addition, the impact of heritage language proficiency is not statistically significant and language background did not bring about clear differences between the monolingual and bilingual cohorts per se. We conclude that there are differences between the Turkish-German students and their peers, but not between the monolinguals and Russian-German students. We discuss these findings in light of current teaching approaches prevailing in Germany's foreign language classrooms and perceptions of heritage languages in society.

THE IMPACT OF ALTERNATIVE MONETARY POLICY INSTRUMENTS ON ELECTRONIC PAYMENT CARDS (2017-2023)

The current study aimed to show the extent of the impact of independent variables on alternative monetary policy tools in electronic payment cards, as the problem of the study was whether the alternative monetary policy tools of the Central Bank of Iraq contribute to enhancing dealing with electronic payment cards, as the variables were analyzed financially for the period (2017-2023 )annually and then using the statistical program SPSS V 26 to test hypotheses according to the standard multiple linear regression model that was suitable for this study. The study showed a set of conclusions, including a statistically significant impact relationship of alternative monetary policy instruments in electronic payment cards. The study recommended promoting alternative monetary policy tools to achieve significant economic benefits by investing in infrastructure, enhancing awareness, and improving regulatory frameworks.

Assessment of Ghana's current energy types to meet tomorrow's needs

Ghana is currently facing challenges in aligning its energy options with future energy demands and reducing its dependency on fossil fuels. This study assessed Ghana's current energy types and their potential to meet future energy needs. A structured questionnaire with a cross-sectional survey and random sampling technique was employed to gather information on energy choices, drivers and challenges from 868 respondents. A multiple linear regression model was used to evaluate the impact of energy drivers on preferences in Ghana. Results showed that 82 % of Ghanaians are ready to transition to cleaner energy sources, with preferences for hydropower/grid electricity (45.70 %) and natural gas/LPG (32.90 %) and biofuels (12.00 %). Economic (16.20%) and population (15.50%) growth are the main drivers of energy transitions, while challenges include high initial costs (11.20%) and limited awareness (4.90%). Strategies such as financial support, education, renewable energy promotion, technological advancement and international collaboration should be promoted to actualise Ghana's transition to future renewable energy usage.

Is Development Type a Determinant of College and Graduate Students’ Commute Time to School? The Case of Seoul Metropolitan Area

This study examines the impact of large-scale suburban new town development on the commuting time of college and graduate students in the Seoul Metropolitan Area. Household travel diary data from 2016 were analyzed to categorize residential areas and quantify the impacts on commute time to school. Multiple linear regression modeling is used to explore the relationships between development type, individual, and household characteristics and their impact on commute times. The results of the study show that students living in new urban areas have significantly longer commute times than those living in central Seoul, highlighting the differences that result from urban expansion policies targeting middle-class housing. These results suggest that the development of suburban new towns, which was intended to alleviate the housing shortage, has inadvertently lengthened the daily commute time of many students. Thus, a critical reassessment of suburban development strategies is needed to better balance the advantages of residential neighborhoods against the educational and living costs associated with increased travel time.

Cross-sectional and longitudinal associations of Iron biomarkers and cardiovascular risk factors in pre- and postmenopausal women: leveraging repeated measurements to address natural variability

BackgroundThe association between iron biomarkers and cardiovascular disease risk factors (CVD-RFs) remains unclear. We aimed to (1) evaluate the cross-sectional and longitudinal associations between iron biomarkers (serum ferritin, transferrin saturation (TSAT), transferrin) and CVD-RFs among women, and (2) explore if these associations were modified by menopausal status.MethodCross-sectional and longitudinal analyses including 2542 and 1482 women from CoLaus cohort, respectively. Multiple linear regression and multilevel mixed models were used to analyse the associations between Iron biomarkers and CVD-RFs. Variability of outcomes and iron markers between surveys was accessed using intraclass correlation (ICC).ResultsAfter multivariable adjustment, elevated serum ferritin levels were associated with increased insulin and glucose levels, while higher transferrin levels were linked to elevated glucose, insulin and total cholesterol, and systolic and diastolic blood pressure (p < 0.05). No association was observed between CVD-RFs and TSAT (p > 0.05). Iron biomarkers demonstrated low reliability across reproductive stages but exhibited stronger associations in the perimenopausal group. In longitudinal analysis, we found association only for transferrin with lower glucose levels [β = − 0.59, 95% CI (− 1.10, − 0.08), p = 0.02] and lower diastolic blood pressure [β = − 7.81, 95% CI (− 15.9, − 0.56), p = 0.04].ConclusionIn cross-sectional analysis, transferrin was associated with several CVD-RFs, and the associations did not change according to menopausal status. Conversely, in the longitudinal analyses, changes in transferrin were associated only with lower glucose and diastolic blood pressure levels. These differences might stem from the substantial longitudinal variation of iron biomarkers, underscoring the need for multiple iron measurements in longitudinal analyses.

Effect of authentic leadership on nurses' stress, burnout, presenteeism during COVID-19.

The COVID-19 pandemic has burdened the health-care system and exposed nurses to immense stress. This study therefore aims to investigate nurses' mental well-being who are working with COVID-19-positive patients. Burnout leads to decreased productivity and manifests as emotional exhaustion, depersonalisation (cynicism) and low personal accomplishment (professional efficacy). Authentic leadership is built on a humanistic value system, which is the core value of nurses and other health-care professionals. This study therefore used authentic leadership as the independent variable. A cross-sectional quantitative research method was adopted by distributing validated online questionnaires to 1,334 nurses in a private pathology laboratory and 241 questionnaires were analysed with 93.4% female respondents. Multiple linear regression model testing was conducted. Multiple regression analyses showed statistically significant negative correlations between authentic leadership and emotional exhaustion, cynicism, job stress and job-stress-related presenteeism, and a positive correlation between authentic leadership and professional efficacy. This study provides empirical data to encourage organisations to focus on developing authentic leaders to decrease nurses' burnout, job stress and presenteeism. The health-care sector should strive to create an environment where nurses are valued and their talent is recognised to increase employee engagement and commitment. There were two contributions in this study: first, to determine whether there is a relationship between authentic leadership job stress and job-stress-related presenteeism. Second, to determine whether there is a relationship between authentic leadership and the three sub-constructs of burnout.

Racialization processes and depressive symptoms among pregnant Mexican-origin immigrant women.

This study examines how racialization processes (conceptualized as multilevel and dynamic processes) shape prenatal mental health by testing the association of discrimination and the John Henryism hypothesis on depressive symptoms for pregnant Mexican-origin immigrant women. We analyzed baseline data (n = 218) from a healthy lifestyle intervention for pregnant Latinas in Detroit, Michigan. Using separate multiple linear regression models, we examined the independent and joint associations of discrimination and John Henryism with depressive symptoms and effect modification by socioeconomic position. Discrimination was positively associated with depressive symptoms (β = 2.84; p < .001) when adjusting for covariates. This association did not vary by socioeconomic position. Women primarily attributed discrimination to language use, racial background, and nativity. We did not find support for the John Henryism hypothesis, meaning that the hypothesized association between John Henryism and depressive symptoms did not vary by socioeconomic position. Examinations of joint associations of discrimination and John Henryism on depressive symptoms indicate a positive association between discrimination and depressive symptoms (β = 2.81; p < .001) and no association of John Henryism and depressive symptoms (β = -0.83; p > .05). Results suggest complex pathways by which racialization processes affect health and highlight the importance of considering experiences of race, class, and gender within racialization processes.

Prior resilience to trauma & coping during the COVID-19 pandemic.

This study examined the potential influence of pre-pandemic psychological resilience on use of approach or avoidant coping styles and strategies to manage stress during the COVID-19 pandemic. We hypothesized that higher resilience would be associated with more approach coping and less avoidant coping. Longitudinal cohort data were from the Nurses' Health Study II, including 13,143 female current and former healthcare professionals with pre-pandemic lifetime trauma. Pre-pandemic resilience was assessed between 2018-2019 and current coping during the outbreak of the pandemic in the United States (May-August 2020). Multiple linear regression model results identified associations between continuous pre-pandemic resilience scores and use of approach and avoidant coping styles, as well as individual coping strategies, adjusting for relevant covariates. Greater resilience was associated with higher use of approach coping (ß = 0.06, 95% CI 0.05, 0.08) and lower use of avoidant coping styles (ß = -0.39, 95% CI -0.41, -0.38). Higher pre-pandemic resilience was also associated with use of eight (distraction [ß = -0.18, 95% CI -0.20, -0.16], substance use [ß = -0.15, 95% CI -0.17, -0.13], behavioral disengagement [ß = -0.29, 95% CI -0.30, -0.27], self-blame [ß = -0.44, 95% CI -0.45, -0.42], emotional support (ß = 0.03, 95% CI 0.01, 0.05), positive reframing [ß = 0.13, 95% CI 0.12, 0.15], humor [ß = 0.03, 95% CI 0.01, 0.05] and religion [ß = 0.06, 95% CI 0.04, 0.08]) of the nine coping strategies in expected directions. Findings have important implications for intervention or even prevention efforts to support vulnerable groups, such as women with prior trauma histories, during this and other immensely stressful times. Supporting or building psychological resilience following trauma may promote effective coping in times of future stress.

Enhancing Lymph Node Yield in Gastric Cancer Resection: Impact of Back Table Dissection on Number of Lymph Node Examined.

During gastric cancer resection, back table dissection (BTD) involves examination and separation of lymph node (LN) packets from the surgical specimen based on LN stations, which are sent to pathology as separately labeled specimens. With potential impact on clinical outcomes, we aimed to explore how BTD affects number of LNs examined. A retrospective review of a gastric cancer database was performed, including all cases of gastrectomy with D2 lymphadenectomy from January 2009 to March 2022. Back table dissection and conventional groups were compared using Mann-Whitney U and Fisher's exact tests. Multiple linear regression modeling was used to identify potential predictors of number of LN examined. A total of 174 patients were identified: 39 (22%) BTD and 135 (78%) conventional. More patients in the BTD group underwent neoadjuvant chemotherapy (62% vs 29%, P < .05). Compared to the conventional group, the BTD group had a greater number of LNs examined (42 [26-59] vs 21[15-33], median [IQR], P < .001), lower LN positivity ratio (.01 vs .07, P = .013), and greater number of LNs in patients with BMI >35 (32.5[27.5-39] vs 22[13-27], P = .041). A multiple linear regression model controlling for age, BMI, preoperative N stage, neoadjuvant chemotherapy, surgeon experience, and operative approach identified BTD as a significant positive predictor of number of LN examined (β = 19.7, P = .001). Back table dissection resulted in improved LN yield during gastric cancer resection. As a simple technical addition, BTD helps enhance pathology examination and improve surgeon awareness, which may ultimately translate to improve oncologic outcomes.