Linear Logistic Regression Models Research Articles

The association of vaping and electronic cigarette use with postoperative hypoxemia and respiratory complications: a retrospective cohort analysis.

Initially introduced as a safer alternative to smoking, electronic cigarettes (e-cigarettes) and vaping have since been associated with lung injury. Nevertheless, there is limited perioperative data on their potential contribution to the harmful effects of mechanical ventilation on the lungs. We hypothesized that, in adults undergoing noncardiothoracic surgeries, preoperative vaping/e-cigarette use is associated with hypoxemia during the first postoperative hour, and with an increased incidence of intraoperative and postoperative pulmonary complications. We conducted a retrospective cohort study in which we included patients reporting as vapers/e-cigarette users within one year before surgery as the exposure group, and nonvapers as the control group. The primary outcome was the time-weighted average (TWA) SpO2/FIO2 ratio in the postanesthesia care unit during the first postoperative hour. The secondary outcome was a composite of intraoperative and postoperative pulmonary complications until discharge. We used entropy balancing to adjust for confounding, and fit weighted linear regression and logistic regression models to estimate treatment effects. A total of 110,940 patients met the inclusion criteria, and 1,941 of these were vapers/e-cigarette users. The average treatment effect on the treated for TWA SpO2/FIO2 ratio (N = 109,217) was estimated to be a mean difference of 4 (95% confidence interval [CI], 1 to 8; P = 0.007). This is equivalent to a 4% change in SpO2 at a 30% FIO2 (or at a fixed FIO2). The difference was statistically significant. The average treatment effect on the treated for experiencing intraoperative and postoperative pulmonary complications (N = 110,940) was an odds ratio of 1.04 (95% CI, 0.71 to 1.54; P = 0.84). Vaping/e-cigarette use was neither associated with clinically significant hypoxemia during the first hour in the postanesthesia care unit nor with an increase in pulmonary complications. Nevertheless, our findings cannot definitively exclude the deleterious effects of vaping and e-cigarette use on the lungs, and anesthesiologists should consider potential perioperative complications.

Periconceptional supplementation with folic acid or multiple micronutrients containing folic acid and the risk for hypertensive disorders in pregnancy.

To investigate the association between supplementation containing folic acid only (FAO) or multiple micronutrients containing folic acid (MFA) and the risk for hypertensive disorders in pregnancy (HDP). The retrospective cohort study was based on data from women who gave birth from 2016 to 2018 at Tongzhou Maternal and Child Health Hospital of Beijing, China. The outcomes were HDP diagnosed after the 20th week of pregnancy, including gestational hypertension (GH), preeclampsia, and eclampsia. Associations between supplementation patterns and HDP were estimated by Poisson loglinear regression models. Sensitivity analyses were based on pre-pregnancy body mass index (BMI) and maternal age. Among the 25,866 women included in the study, periconceptional use of FA supplementation marginally reduced the risk for HDP (adjusted risk ratio [aRR] = 0.87, 95% confidence interval [CI] 0.73-1.04). Women who began FAO supplementation before conception had a lower risk for GH compared to those who began after conception (aRR = 0.59, 95% CI 0.45-0.78). The risk for HDP also reduced among FAO users who began supplementation before conception with a normal pre-pregnancy BMI (aRR = 0.64, 95% CI 0.49-0.84) and users ≥30 years old (aRR = 0.75, 95% CI 0.58-0.98). Periconceptional FAO supplementation may reduce the risk for HDP, especially GH. The protective effects are greater among women with a normal pre-pregnancy BMI and those ≥ 30 years old.

Association between Prenatal Control and the Incidence of Preeclampsia in Ecuadorian Pregnant Women: A Cross-Sectional Study

Hypertensive disorders are one of the main complications that affect pregnancy, which makes them one of the most important causes of high maternal and fetal morbimortality. Approximately 80% of cases occur at term gestational age, while the remaining percentage begin at earlier gestational ages. Most cases of preeclampsia occur in healthy pregnant women. Therefore, it is important to establish the risk factors in prenatal control visits. Prenatal control is fundamental in which comprehensive surveillance of the pregnant woman is performed. It is known that hypertension in pregnancy is a frequent and potentially dangerous complication for the mother, fetus and newborn. For this reason, one of the objectives of prenatal care is to detect pre-pregnancy hypertension and pregnancy-induced hypertension syndrome (preeclampsia). A nationally representative sample of 20648 mothers from the National Health and Nutrition Survey 2018 (ENSANUT) was used. We used multicollinearity tests to rule out possible statistical modeling problems and a binary logistic linear regression model where Odds Ratio (OR) with their 95% confidence intervals (95% CI) were estimated for each of the independent variables. In addition, we used specificity tests to test the fit between our dependent and independent variables. Our results reveal that prenatal control reduced 2 times (OR= -2.0005; CI=-1.981;-2.055) the probability of suffering complications during pregnancy such as preeclampsia. This result is statistically significant (p<0.05). It was also demonstrated that women from rural areas, with lower income and low schooling are more susceptible to suffer complications during pregnancy compared to the rest of the population. Preeclampsia-eclampsia continues to be one of the pathologies that has the greatest impact on maternal and perinatal morbidity and mortality, so work should continue to find ways to prevent its onset or modify its evolution, avoiding eclampsia or other severe forms of the disease. The results found in this study showed that adequate prenatal care (more than five visits starting in the first trimester of pregnancy) has an impact on the prevention of pregnancy complications such as preeclampsia, since identifying and avoiding it is one of the main purposes of prenatal care.

Fractional exhaled nitric oxide (FeNO) among school children in Java and Sumatra, Indonesia: associations with respiratory symptoms, house dust mite sensitization and the home environment

Objective To study associations between fractional exhaled nitric oxide (FeNO) and asthma, airway symptoms, sensitization to common allergens, outdoor pollution and home environment among 380 students in eight junior high schools in two areas in Indonesia. Methods Data on health and home were collected by a face-to face interview before measuring FeNO and performing skin prick test against common allergens. Exploratory linear mixed and logistic regression models were employed. Results Geometric mean of FeNO was 17.8 ppb (GSD 2.09) and 139 students (36.6%) had elevated FeNO (>20 ppb). In total, 107 students (28.2%) were sensitized to house dust mite (HDM) (Der p1 or Der f1), 4 (1.1%) to cat and 3 (0.8%) to mold (Cladosporium or Alternaria). Moreover, 20 students (5.3%) had diagnosed asthma, 38 (10.0%) had current wheeze, and 107 (28.2%) had current rhinitis. HDM sensitization, diagnosed asthma, current wheeze, and current rhinitis were associated with FeNO. In total, 281 students (73.9%) had mold or dampness, 232 (61.1%) had environmental tobacco smoke (ETS) and 43 (11.3%) had other odor at home. Indoor mold or dampness and other odor at home were associated with FeNO. ETS was negatively associated with FeNO. Conclusion HDM sensitization and elevated FeNO can be common among children in this part of Indonesia. The high prevalence of elevated FeNO indicate that undiagnosed childhood asthma is common. Dampness, mold and odor at home can be associated with increased FeNO while ETS can be associated with decreased FeNO.

Enhancing slope stability prediction using a multidisciplinary approach and radial basis function neural network: A case study on the Jelapang rock slope in Perak

Accurately predicting the stability of complex high rock slopes is crucial to prevent infrastructure damage and potential casualties. Existing studies have primarily relied on linear or log-linear regression models based on laboratory data, limiting their practical application. In this study focused on the Jelapang rock slope in Perak, a multidisciplinary approach combining geological, geotechnical, and remote sensing analyses was employed to consider various rock mass properties and slope geometrical parameters. The Rock Mass Rating (RMR), Slope Mass Rating (SMR), and factor of safety (FOS) were computed for 48 regions of the rock slope. Subsequently, a Radial Basis Function Neural Network (RBFNN) model was utilised to predict the FOS, RMR, and SMR. Three RBFs were developed: RBF-1 for estimating the factor of safety, RBF-2 for rock mass rating, and RBF-3 for slope mass rating. For comparison purposes, the performance of the RBFNN models was compared with Multilayer Perceptron (MLP) models. The results demonstrated that the optimised RBFNN model provided a state-of-the-art technique for accurately predicting and controlling slope stability. Notably, the RBFNN models exhibited remarkable precision, as indicated by root-mean-squared error (RMSE) values of 2.02172e-30 for the training process of RBF-1, 7.58671e-28 for RBF-2, and 2.71129e-27 for RBF-3. Comparison results revealed that the RBF models outperformed the MLPs. Additionally, sensitivity analysis results indicated that Uniaxial Compressive Strength (UCS) had the highest effect on the FOS.

Self-reported cognitive function and its relationship with self-reported health, psychological distress, and life satisfaction among cardiac arrest survivors - a nationwide register study

Abstract Introduction Cognitive problems in terms of memory, executive function, information retrieval, perception, and attention are common in cardiac arrest (CA) survivors. Studies show that cognitive impairment are associated with important outcomes such as lower quality of life, social function, and ability to work. However, cognitive function is commonly assessed by performance-based or observer-reported outcome measures that do not reflect the person’s own experience. To offer a person-centred CA care, this knowledge is of high importance. Purpose To describe self-reported cognitive function and its relationship with self-reported health, psychological distress, and life satisfaction among CA survivors. Methods This nationwide register study utilized data from the (Country) Register of Cardiopulmonary Resuscitation, encompassing survivors of both in-hospital and out-of-hospital CA. Inclusion criteria comprised survivors with a Cerebral Performance Category (CPC) scale score ≤3 at hospital discharge who underwent a follow-up phone interview with a registered nurse 3-6 months post CA. Health status was measured using the EQ-5D Visual Analogue Scale (EQ VAS), psychological distress with the Hospital Anxiety and Depression Scale (HADS), and life satisfaction with a global question about overall satisfaction from the Life Satisfaction Questionnaire (LiSat-11). Self-reported cognitive function was measured by a single question: ‘How do you experience your memory, concentration, and/or planning abilities today compared to before the cardiac arrest?’ Data was analysed using multiple linear regression and multiple binary logistic regression models. Results The sample consisted of 1,254 CA survivors, 32% females. The mean age was 66 (SD=13.4) years. Most of the CAs occurred in-hospital (74%) and were witnessed (93%). A cardiac aetiology (55%) and a shockable initial rhythm (57%) were most common. In total, 68% reported an unchanged cognitive function while 27% reported worse cognitive function. Better cognitive function was reported by 5%. Experiencing a worse cognitive function in relation to unchanged or better cognitive function was associated with worse self-reported health measured using the EQ VAS (p<0.001), higher levels of symptom of anxiety and depression measured with the HADS (p<0.001 and p<0.001 respectively), and a lower life satisfaction measured by the LiSat-11 (p<0.001). The significant associations remained after the regression models were adjusted for age, sex, place, aetiology, initial rhythm, and witnessed status. Conclusions As CA survivors with worse cognitive function reported poorer health, more psychological distress, and reduced life satisfaction, this study points out the importance to screen for self-reported cognitive function. Using a single question may facilitate the ability to identify survivors with a perceived worse cognitive function in need of support.

Deep learning and explainable artificial intelligence for investigating dental professionals' satisfaction with CAD software performance.

This study aimed to examine the satisfaction of dental professionals, including dental students, dentists, and dental technicians, with computer-aided design (CAD) software performance using deep learning (DL) and explainable artificial intelligence (XAI)-based behavioral analysis concepts. This study involved 436 dental professionals with diverse CAD experiences to assess their satisfaction with various dental CAD software programs. Through exploratory factor analysis, latent factors affecting user satisfaction were extracted from the observed variables. A multilayer perceptron artificial neural network (MLP-ANN) model was developed along with permutation feature importance analysis (PFIA) and the Shapley additive explanation (Shapley) method to gain XAI-based insights into individual factors' significance and contributions. The MLP-ANN model outperformed a standard logistic linear regression model, demonstrating high accuracy (95%), precision (84%), and recall rates (84%) in capturing complex psychological problems related to human attitudes. PFIA revealed that design adjustability was the most important factor impacting dental CAD software users' satisfaction. XAI analysis highlighted the positive impacts of features supporting the finish line and crown design, while the number of design steps and installation time had negative impacts. Notably, finish-line design-related features and the number of design steps emerged as the most significant factors. This study sheds light on the factors influencing dental professionals' decisions in using and selecting CAD software. This approach can serve as a proof-of-concept for applying DL-XAI-based behavioral analysis in dentistry and medicine, facilitating informed software selection and development.

Short communication: Association between prepartum subclinical magnesium imbalance and postpartum diseases in grazing dairy cows in Southern Chile.

This study aimed to evaluate the relationship between prepartum subclinical hypomagnesemia (pre-SHMg) and the occurrence of dystocia, metritis, clinical mastitis, lameness, and subclinical hypomagnesemia postpartum (post-SHMg) in pasture-based dairy cows. Also, the difference in means of prepartum magnesium (Mg) concentration by postpartum health events was evaluated. A total of 890 dairy cows from 32 commercial farms located in southern Chile were enrolled. Cows were examined twice, once between 30 and 3 days before and once between 3 and 30 days after calving. Blood samples were collected on both assessments, and cows were considered as having SHMg if serum total Mg < 0.65 mmol/L. On the postpartum visit, cows were evaluated for metritis and lameness. Information about clinical mastitis and dystocia was collected from on-farm records. Data were analyzed using multivariable mixed linear models and multivariable mixed logistic regression models. The overall prevalence of pre-SHMg was 9.9%, and its presence was associated with the occurrence of post-SHMg (odd ratio [OR] = 5.7; P < 0.0001) and metritis (OR = 3.1; P = 0.04). However, we did not detect an association between pre-SHMg and dystocia, clinical mastitis, or lameness after calving. Prepartum serum Mg concentrations were lower in cows that developed post-SHMg than those that did not (LSM ± SE = 0.75 ± 0.02 mmol/L vs. 0.83 ± 0.02 mmol/L; P < 0.0001). In conclusion, pre-SHMg was associated with a higher risk of post-SHMg and metritis in grazing dairy cows but not other postpartum health events.

Assessing the impact of Hurricane Ivan on aboveground forest carbon dynamics in the Florida Panhandle: A case study from Perdido Bay watershed

Hurricanes can physically transform forest ecosystems, leading to immediate and potentially long-lasting impacts on carbon dynamics. Using Forest Inventory Analysis (FIA) data from the United States Forest Service, we compared the average carbon in trees (saplings, bole, stump, tops) and foliage pre- (2001–2003) and post- (2005–2007) Hurricane Ivan for different tree categories in the Perdido Bay Watershed located in the Florida Panhandle. The log-linear regression model indicates that variables stand type (softwood/mixed/hardwood), diameter, height, physiographic class (deep sands/flatwoods/rolling uplands/small drains/swamps/bottomlands), elevation, field age and plot affected status were statistically significant (p ≤ 0.05) determinants of carbon loss from the forest stands. Results showed that plots with medium-diameter stands lost more aboveground carbon than large and small-diameter stands, similarly, softwood-dominated stands lost more aboveground carbon than hardwood and mixed wood stands. Aboveground carbon decreased in stands with large (≥ 0.15 m) and medium (≥ 0.12 m) diameter-at-breast height (DBH) by 22.74 and 30.22 metric tons/ha, respectively. We ascertained a decrease of 74.51 and 17.82 metric tons/ha of aboveground carbon in hardwood and mixed plots after Hurricane Ivan, respectively. Aboveground carbon in young (< 25 y) taller trees (> 15 m) decreased by 121.55 metric tons/ha of carbon immediately after the hurricane. These findings underscore the critical necessity of comprehending the interplay between forest structure and hurricane activity to forecast the repercussions of such disturbances on carbon stocks. Our provided framework serves as a valuable tool for researchers and policymakers to assess the vulnerability of coastal forests and facilitate strategic planning to protect forests as carbon sinks.

Association of metals and bisphenols exposure with lipid profiles and dyslipidemia in Chinese adults: Independent, combined and interactive effects

BackgroundAlthough studies have assessed the association of metals and bisphenols with lipid metabolism, the observed results have been controversial, and limited knowledge exists about the combined and interactive effects of metals and bisphenols exposure on lipid metabolism. MethodsPlasma metals and serum bisphenols concentrations were evaluated in 888 participants. Multiple linear regression and logistic regression models were conducted to assess individual associations of 18 metals and 3 bisphenols with 5 lipid profiles and dyslipidemia risk, respectively. The dose-response relationships of targeted contaminants with lipid profiles and dyslipidemia risk were captured by applying a restriction cubic spline (RCS) function. The bayesian kernel machine regression (BKMR) model was used to assess the overall effects of metals and bisphenols mixture on lipid profiles and dyslipidemia risk. The interactive effects of targeted contaminants on interested outcomes were explored by constructing an interaction model. ResultsSingle-contaminant analyses revealed that exposure to iron (Fe), nickel (Ni), copper (Cu), arsenic (As), selenium (Se), strontium (Sr), and tin (Sn) was associated with elevated lipid levels. Cobalt (Co) showed a negative association with high density lipoprotein cholesterol (HDL-C). Bisphenol A (BPA) and bisphenol AF (BPAF) were associated with decreased HDL-C levels, with nonlinear associations observed. Vanadium (V), lead (Pb), and silver (Ag) displayed U-shaped dose-response relationships with most lipid profiles. Multi-contaminant analyses indicated positive trends between contaminants mixture and total cholesterol (TC), triglycerides (TG), low density lipoprotein cholesterol (LDL-C), and non-high-density lipoprotein cholesterol (non-HDL-C). The interaction analyses showed that Se-Fe exhibited synergistic effects on LDL-C and non-HDL-C, and Se-Sn showed a synergistic effect on HDL-C. ConclusionsOur study suggested that exposure to metals and bisphenols was associated with changes in lipid levels, and demonstrated their combined and interactive effects.

Association between Transient-Continuous Hypotension during Mechanical Thrombectomy for Acute Ischemic Stroke and Final Infarct Volume in Patients with Proximal Anterior Circulation Large Vessel Occlusion.

Background/Objectives: Periprocedural blood pressure changes in stroke patients with a large vessel occlusion are a known modifiable risk factor of unfavorable treatment outcomes. We aimed to evaluate the association between pre-revascularization hypotension and the final infarct volume. Methods: In our retrospective analysis, we included 214 consecutive stroke patients with an anterior circulation large vessel occlusion that underwent mechanical thrombectomy under general anesthesia. Noninvasively obtained blood pressure values prior to symptomatic vessel recanalization were analyzed as a predictor of post-treatment infarct size. Linear logistic regression models adjusted for predefined factors were used to investigate the association between blood pressure parameters and the final infarct volume. Results: In our cohort, higher baseline systolic blood pressure (aβ = 8.32, 95% CI 0.93-15.7, p = 0.027), its maximal absolute drop (aβ = 6.98, 95% CI 0.42-13.55, p = 0.037), and >40% mean arterial pressure decrease (aβ = 41.77, CI 95% 1.93-81.61, p = 0.040) were independently associated with higher infarct volumes. Similarly, continuous hypotension measured as intraprocedural cumulative time spent below either 100 mmHg (aβ = 3.50 per 5 min, 95% CI 1.49-5.50, p = 0.001) or 90 mmHg mean arterial pressure (aβ = 2.91 per 5 min, 95% CI 0.74-5.10, p = 0.010) was independently associated with a larger ischemia size. In the subgroup analysis of 151 patients with an M1 middle cerebral artery occlusion, two additional factors were independently associated with a larger ischemia size: systolic blood pressure maximal relative drop and >40% drop from pretreatment value (aβ = 1.36 per 1% lower than baseline, 95% CI 0.04-2.67, p = 0.043, and aβ = 43.01, 95% CI 2.89-83.1, p = 0.036, respectively). No associations between hemodynamic parameters and post-treatment infarct size were observed in the cohort of intracranial internal carotid artery occlusion. Conclusions: In patients with ischemic stroke due to a proximal middle cerebral artery occlusion, higher pre-thrombectomy treatment systolic blood pressure is associated with a larger final infarct size. In patients treated under general anesthesia, hypotension prior to the M1 portion of middle cerebral artery recanalization is independently correlated with the post-treatment infarct volume. In this group, every 5 min spent below the mean arterial pressure threshold of 100 mmHg is associated with a 4 mL increase in ischemia volume on a post-treatment NCCT. No associations between blood pressure and final infarct volume were present in the subgroup of patients with an intracranial internal carotid artery occlusion.

Evolution of minimally invasive liver surgery in France over the last decade.

Despite evidence of benefits on postoperative outcomes, minimally invasive liver surgery (MILS) had a very low diffusion up to 2014, and recent evolution is unknown. Our aim was to analyze the recent diffusion and adoption of MILS and compare the trends in indications, extent of resection, and institutional practice with open liver surgery (OLS). We analyzed the French nationwide, exhaustive cohort of all patients undergoing a liver resection in France between January 1, 2013 and December 31, 2022. Average annual percentage changes (AAPC) in the incidence of MILS and OLS were compared using mixed-effects log-linear regression models. Time trends were analyzed in terms of extent of resection, indication, and institutional practice. MILS represented 25.2% of 74,671 liver resections and year incidence doubled from 16.5% in 2013 to 35.4% in 2022. The highest AAPC were observed among major liver resections [+ 22.2% (19.5; 24.9) per year], primary [+ 10.2% (8.5; 12.0) per year], and secondary malignant tumors [+ 9.9% (8.2; 11.6) per year]. The highest increase in MILS was observed in university hospitals [+ 14.7% (7.7; 22.2) per year] performing 48.8% of MILS and in very high-volume (> 150 procedures/year) hospitals [+ 12.1% (9.0; 15.3) per year] performing 19.7% of MILS. OLS AAPC decreased for all indications and institutions and accelerated over time from -1.8% (-3.9; -0.3) per year in 2013-2018 to -5.9% (-7.9; -3.9) per year in 2018-2022 (p = 0.013). This is the first reported trend reversal between MILS and OLS. MILS has considerably increased at a national scale, crossing the 20% tipping point of adoption rate as defined by the IDEAL framework.

Health-related quality of life by veterans RAND 12 and healthcare resource utilization in cancer patients with sleep disorders: insights from the Medical Expenditure Panel Survey.

This study aims to investigate the joint effects of cancer and sleep disorders on the health-related quality of life (HRQoL), healthcare resource utilization, and expenditures among US adults. Utilizing the 2018-2019 Medical Expenditure Panel Survey (MEPS) database, a sample of 25,274 participants was categorized into four groups based on cancer and sleep disorder status. HRQoL was assessed using the VR-12 questionnaire. Generalized linear model (GLM) with a log-linear regression model combined gamma distribution was applied for the analysis of healthcare expenditure data. Individuals with both cancer and sleep disorders (C+/S+) exhibited notably lower physical health (PCS) and mental health (MCS) scores-1.45 and 1.87 points lower, respectively. They also showed significantly increased clinic visits (2.12 times), outpatient visits (3.59 times), emergency visits (1.69 times), and total medical expenditures (2.08 times) compared to those without cancer or sleep disorders (C-/S-). In contrast, individuals with sleep disorders alone (C-/S+) had the highest number of prescription drug usage (2.26 times) and home health care days (1.76 times) compared to the reference group (C-/S-). Regardless of cancer presence, individuals with sleep disorders consistently reported compromised HRQoL. Furthermore, those with cancer and sleep disorders experienced heightened healthcare resource utilization, underscoring the considerable impact of sleep disorders on overall quality of life. The findings of this study address the importance of sleep disorders among cancer patients and their potential implications for cancer care. Healthcare professionals should prioritize screening, education, and tailored interventions to support sleep health in this population.

Performance of logistic regression and support vector machine conjunction with the GIS and RS in the landslide susceptibility assessment: Case study in Nakhon Si Thammarat, southern Thailand

The occurrence of landslides has risen in the past few decades, particularly in mountainous regions worldwide, including Nakhon Si Thammarat, southern Thailand. Despite various methods being employed for the initial management of landslide disasters, none have proven universally effective. The goal of this research is to create and assess landslide susceptibility maps (LSMs) within this area by employing support vector machine (SVM) and logistic regression, together with Geographic Information System (GIS) and Remote Sensing (RS) techniques. Eleven factors contributing to landslides were identified as topographic, environmental, and geological influences. The 365 landslides in the past were aimlessly selected into training (70%) and testing (30%) datasets. The four LSMs indicated that approximately 13%–20% of this study area exhibit a high susceptibility to landslides corresponding to the regions of high elevation with relatively steep slope angles. To evaluate and compare LSM models, the AUC value for training dataset were 0.977, 0.975, 0.958, and 0.967 and testing dataset were 0.973, 0.969, 0.956, and 0.964 for SVM with the radial basis function (rbf) kernel, SVM with polynomial deg 2, SVM with linear kernel and logistic regression models, respectively. Among these models, SVMs with rbf demonstrated the highest prediction rate. However, it requires a significant amount of time to choose the best parameters for achieving the highest accuracy prediction. In summary, these maps are applicable at the regional level to enhance the management of landslide hazards.

Childhood maltreatment and risk of metabolic dysfunction-associated steatotic liver disease – Evidence of sex-specific associations in the general population

Background and aimsChildhood maltreatment (CM) is linked to self-reported liver disease in adulthood. However, specific diagnostic entities, e.g., metabolic dysfunction-associated steatotic liver disease (MASLD) as the most frequent chronic liver disease, and sex-differences have previously not been considered. MethodsCross-sectional analyses were conducted in 4188 adults from a population-based cohort in Northeastern Germany after excluding individuals with excessive alcohol consumption, cirrhosis, or chronic viral hepatitis. CM-exposure was assessed using the Childhood Trauma Questionnaire (CTQ). Liver-related outcomes included serologic liver enzymes, fibrosis-4 score (FIB-4) and, in 1863 subjects who underwent magnetic resonance imaging examination, liver fat content. Sex-stratified linear regression and logistic regression models predicting liver-related outcomes and risk for MASLD, respectively, from overall CTQ scores were adjusted for age, school education, alcohol consumption, and waist circumference. Exploratory analyses investigated effects of CTQ-subscales on liver-related outcomes and risk for MASLD. ResultsIn both sexes, overall CM-exposure was associated with higher levels of serum aspartate aminotransferase and FIB-4 score. In men, effects were mainly driven by physical abuse, and in women by emotional neglect. Only in men, overall CM-exposure (β = 0.70, 95%-CI 0.26–1.13, p = 0.002) and four CTQ-subscales were associated with greater liver fat content, and physical abuse (aOR = 1.22, 95%-CI 1.02–1.46, p = 0.034) and physical neglect (aOR = 1.25, 95%-CI 1.04–1.49, p = 0.015) were associated with higher risk for MASLD. ConclusionsThese results suggest sex differences in the association between CM and objective serum and imaging markers of MASLD in adulthood. For men especially, a history of CM-exposure may increase risk of developing MASLD in adulthood.

Association of healthy and unhealthy plant-based diets with telomere length

Background & aimsPrevious studies have shown that plant-rich dietary patterns, such as the Mediterranean diet, are associated with longer telomeres. However, no association has been found between vegetarian diet and telomere length. We hypothesized that the quality of plant-based diets plays an important role in telomere length. MethodsData were obtained from the National Health and Nutrition Examination Survey 1999–2002. Diet was assessed using a 24-hour recall method. Plant-based diet quality was assessed using the overall plant-based diet index (PDI), healthy PDI (hPDI), and unhealthy PDI (uPDI). Telomere length was measured using quantitative PCR. Linear and ordinal logistic regression models were used to assess the association of PDIs with log-transformed telomere length and ordinal quintiles of telomere length in descending order, respectively. ResultsIn both regression models, the overall PDI was not associated with telomere length. The hPDI was associated with longer telomere length [percentage change = 2.34%, 95% confidence interval (CI): 0.42%, 4.31%, Ptrend = 0.016; odds ratio (OR) = 0.81, 95% CI: 0.69, 0.95, Ptrend = 0.013]. However, uPDI was associated with shorter telomere length (percentage change = -3.17%, 95% CI: -5.65%, -0.62%, Ptrend = 0.017; OR = 1.25, 95% CI:1.03, 1.53, Ptrend = 0.014) and this inverse association was stronger in the non-Hispanic white population (Pinteraction = 0.001 in both regression models). ConclusionsA plant-based dietary pattern rich in healthy plant foods is associated with longer telomeres. However, plant-based dietary patterns rich in unhealthy plant-based foods are associated with shorter telomere lengths, especially in non-Hispanic white populations.

Sex-Specific Associations between Maternal Thyroid Peroxidase Antibodies and Cognitive Development in Preschool Children: A Prospective Cohort Study.

Background: An association between maternal thyroid dysfunction throughout pregnancy and the subsequent risk of neurodevelopmental abnormalities in offspring has been demonstrated. However, the potential effects of maternal thyroid autoimmunity on neurodevelopment in the absence of maternal hypothyroidism remain unclear. Therefore, in this study, we explored the association between maternal thyroid peroxidase antibody (TPOAb) positivity and cognitive development in preschool children. Methods: A total of 1849 mother-child pairs were recruited from the Ma'anshan Birth Cohort (MABC) Study. During the follow-up period, an electrochemiluminescence immunoassay was used to retrospectively measure serum TPOAb levels in pregnant women. The cognitive development of preschool children was evaluated by using the Chinese version of the Wechsler Preschool and Primary Scale of Intelligence-Fourth Edition (WPPSI-IV). A growth mixture model was used to fit the trajectory of TPOAb. Multiple linear regression and logistic regression models were used to explore the associations between the developmental trajectory of TPOAb-positivity at different gestational periods and the cognitive development of preschool children by sex. Results: A total of 1849 mother-child pairs (mean [SD] age: 26.7 [3.6] years) were enrolled in the final study. Maternal TPOAb positivity in the first trimester was associated with a risk of below-average processing speed index in girls (OR: 2.07; 95% CI 1.06 to 4.01) and below-average full-scale intelligence quotient (FSIQ) in boys (OR: 2.36; 95% CI: 1.10 to 5.05). Maternal TPOAb positivity in the third trimester (T3) was associated with below-average working memory index (WMI) (OR: 2.51; 95% CI: 1.02 to 6.20) in girls. In girls, the WMI (β = -3.17, 95% CI: -5.82 to -0.52), fluid reasoning index (FRI) (β = -4.49, 95% CI: -7.18 to -1.80), and FSIQ score (β = -2.43, 95% CI: -4.77 to -0.08) decreased, whereas in mothers, the level of log-transformed thyroid peroxidase antibody (lgTPOAb) increased during pregnancy. Conclusions: Positive maternal TPOAb levels during pregnancy may be associated with poorer cognitive development in preschool children. These findings require independent confirmation in other populations.

Associations between smoking, sex steroid hormones, trouble sleeping, and depression among U.S. adults: a cross-sectional study from NHANES (2013–2016)

BackgroundDose-response and nonlinear relationships of cigarette exposure with sleep disturbances and depression are warranted, and the potential mechanism of sex hormones in such associations remains unclear.MethodsCigarette exposure, trouble sleeping, and depression were assessed by standard questionnaires, and the levels of cotinine and sex steroid hormones were determined among 9900 adults from the National Health and Nutrition Examination Survey (NHANES). Multiple linear regression, logistic regression, and mediation models were conducted to evaluate the associations between smoking, sex steroid hormones, trouble sleeping, and depression.ResultsWith never smokers as a reference, current smokers had a higher prevalence of trouble sleeping (OR = 1.931, 95% CI: 1.680, 2.219) and depression (OR = 2.525, 95% CI: 1.936, 3.293) as well as testosterone level (β = 0.083, 95% CI: 0.028, 0.140). Pack-years of smoking and cigarettes per day were positively associated with the prevalence of trouble sleeping and depression as well as testosterone level (Ptrend <0.05). The restricted cubic spline model showed linear relationships of cotinine with trouble sleeping, depression, and testosterone. The positive associations of cigarettes per day with trouble sleeping and depression were greater in females than that in males (Pmodification <0.05). However, the potential role of sex hormones was not observed in the association of cotinine with trouble sleeping or depression (Pmediation >0.05).ConclusionSmoking may induce sex hormone disturbance and increase the risk of sleep problems and depression symptoms, and ceasing smoking may reduce the risk of such complications.

The interplay between teleworking choice and commute distance

In this study, we model the telework-commute distance decision process as a package choice, and use a latent segmentation approach to recognize that some individuals may choose their telework arrangement first and then choose their commute distance (their residential location), while others may adopt a reverse causal behavioral process. The latent segment modeling methodology combines a multiple discrete–continuous probit model for telework adoption/intensity as the proportion of monthly workdays worked from home, from the office, and from a variable third workplace, with a log-linear regression model for commute distance (the home-to-office distance). The data for our analysis is drawn from a 2022 survey of Texas residents. Results suggest that about 20% of the population are likely “movers”, whose telework choices led to a residential move that changed commute distance, while the other 80% are “stayers”, whose commute distance at their predetermined (to telework) residential location changed telework habits. We further quantify the impact of teleworking on commute distances by computing the expected commute distance for several telework distribution preferences. A shift from 100% in-person work to 100% home-based remote work increases average commute distance by 64.8%, while working from a third workplace for any portion of a month reduces commute lengths relative to only home-based telework. In terms of monthly commute vehicle miles traveled (VMT), working from home for less than 18.6% of the month (about once a week) per worker actually increases overall monthly commute VMT. Monthly commute VMT reductions become tangible only at about 30–40% telework for each worker (about two days of telework per week for full-time workers with 22 workdays per month). In general, between 0 and 40% home-based telework per worker (with the remaining percentage at the office), there is a 10% commute VMT reduction for each 10% increase in home-based telework. In the range of 40% to 80% home-based telework, there is about a 13% commute VMT reduction for every 10% increase in home-based telework. And in the range of 80%-100% home-based telework reduction, there is about a 15% commute VMT reduction for every 10% increase in home-based telework.

Symptom Clusters in Acute SARS-CoV-2 Infection and Long COVID Fatigue in Male and Female Outpatients.

(1) Background: After an acute SARS-CoV-2 infection, patients are at risk of developing Long COVID, with fatigue as a frequent and serious health problem. Objectives: To identify symptom clusters in acute SARS-CoV-2 infections and investigate their associations with the development of Long COVID fatigue, and to examine sex-specific differences. (2) Methods: The analysis included a total of 450 COVID-19 outpatients, of whom 54.4% were female. The median ages of the men and women were 51 years (IQR 36.0; 60.0) and 48 years (IQR 33.0; 57.0), respectively. Data collection took place between November 2020 and May 2021, with a median time between acute SARS-CoV-2 infection and examination in the study center of 240 days (IQR 133; 326). The Fatigue Assessment Scale (FAS) was used to identify fatigue and its severity. A multiple correspondence analysis was used to group forty-two COVID-19 symptoms into seven symptom clusters. Logistic and log-linear regressions were used to investigate associations between acute symptom clusters and Long COVID fatigue as dichotomous and continuous outcome, respectively. (3) Results: Fatigue occurred more frequently in women than in men (45% vs. 25%) and the median FAS score, indicating severity of fatigue, was higher in women than in men. The comparison between men and women revealed notable differences in four out of seven clusters. The strongest associations between symptom clusters in infection and Long COVID fatigue were identified for the cluster "cognitive and mental symptoms". In the log-linear regression model, each additional symptom in this cluster was associated with an increase of the FAS score by 5.13% (95% CI: [0.04; 0.07]; p < 0.001). The results of the logistic regression models supported this finding. Each additional symptom in this symptom cluster increased the odds of fatigue by 42% (95% CI: [1.23; 1.66]; p < 0.001). (4) Conclusions: In our study in COVID-19 outpatients, a strong association was observed between the number of symptoms in the cluster "cognitive and mental symptoms" during acute SARS-CoV-2 infection and the risk of developing fatigue months later. The consequent use of preventive and therapeutic strategies is necessary to decrease the burden of fatigue in the context of Long COVID.