Social Support Theory for Predicting Stress, Anxiety, and Job Burnout of Healthcare Workers in the Post-pandemic COVID-19 by Masoumeh Mohammadi Khanqah, Fataneh Bakhshi, Asieh Ashouri, Abolhasan Afkar

“…Participants completed demographic questionnaires, the depression anxiety sress scale, the Maslach burnout inventory, and the multidimensional scale of perceived social support. data analysis included descriptive statistics and multiple linear regression models using SPSS software, version 22. Results: The Mean±SD scores for stress and anxiety were 9.11±5.64 and 6.44±5.23, respectively, with a median burnout score of 38 (IQR: 26-50). …”
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Maternal betel quid use during pregnancy and child growth: a cohort study from rural Bangladesh by Mohammad Redwanul Islam, Shaki Aktar, Jesmin Pervin, Syed Moshfiqur Rahman, Monjur Rahman, Anisur Rahman, Eva-Charlotte Ekström

“…Overall and sex-specific multiple linear regression models were fitted. Results Growth data were available for 501 children (mean age 4.9 years): 43.3% of them were born to non-users, 35.3% to those using prior to or less-than-daily during the survey, and 21.3% to daily users. …”
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The relationship between pre-pregnancy BMI and energy and macronutrients intakes during pregnancy in women from Yucatan, Mexico by Hugo Azcorra, Federico Dickinson, José Luis Batún

“…Energy and macronutrient intakes (obtained from three 24-h dietary recalls) were compared with the estimated trimester-specific requirements to calculate adequacies (%). Multiple linear regression models showed that after accounting for maternal socioeconomic characteristics and perinatal variables, each unit increase in pre-pregnancy BMI was associated with decreases of 2%, 2%, and 2.6% in energy, carbohydrate, and total fat intakes, respectively. …”
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The Protective Role of Ambient Ultraviolet Radiation Against Dementia: An Ecological Analysis of Global Data by Wenpeng You

“…Bivariate analysis, partial correlation, and multiple linear regression models were employed to assess the relationship between UVR and dementia incidence. …”
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Evaluation of laboratory findings indicating pancreatitis in healthy lean, obese, and diabetic cats by Freja K. Jørgensen, Charlotte R. Bjornvad, Birgit Krabbe, Stinna Nybroe, Ida N. Kieler

“…The cats underwent physical examination, and blood tests. Linear regression models compared differences in fPLI, fTLI, cobalamin, and folate concentrations. …”
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Relationship between Self-Efficacy and Headache Impact, Anxiety, and Physical Activity Levels in Patients with Chronic Tension-Type Headache: An Observational Study by Ángel González de la Flor, Guillermo García Pérez de Sevilla, Diego Domíngez Balmaseda, Daniel Martín Vera, María Montero Martínez, Jose Ángel Del Blanco Muñiz

“…Physical activity levels showed positive moderate correlations with the self-efficacy in the domain of physical function (r=0.41). Linear regression models determined that the self-efficacy and anxiety sensitivity with showed a significant relationship with the HIT-6 score (R2=0.262;p=0.008) and with the ASI-3 score (R2=0.565; p<0.001). …”
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Influence of Parent Stressors on Adolescent Obesity in African American Youth by Lauren Allport, MinKyoung Song, Cindy W. Leung, Kellye C. McGlumphy, Rebecca E. Hasson

“…Multivariate linear regression models were used to examine the relationships between individual parent stressors and adolescent BMI and waist circumference. …”
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Predicting the presence of tephra layers in lacustrine deposits using spectral gamma ray data: An example from Lake Chalco, Mexico City. by Mehrdad Sardar Abadi, Christian Zeeden, Arne Ulfers, Alex Susan Meyer, Thomas Wonik, Mexidrill team

“…The protocol involves identifying similarities between known tephra layers, analyzing differences in gamma-ray signals between tephra and non-tephra layers, and studying the composition of energy channels at various depths within the training dataset. Multiple linear regression models are used to predict the relationship between the composition of tephra layers as a dependent variable and the constituent energy channels of the gamma-ray signal as independent variables. …”
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Relationship between plasma uric acid levels, antioxidant capacity, and oxidative damage markers in overweight and obese adults: A cross-sectional study. by Natalia Albuja-Quintana, Aida M Chisaguano-Tonato, Maria E Herrera-Fontana, Sandra Figueroa-Samaniego, José M Alvarez-Suarez

“…Coefficients of correlations and linear regression models were applied to evaluate the association between antioxidant/oxidant parameters and plasma uric acid levels. …”
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Correcting the Cognitive Bias for Commuting Time to Relieve the Driving Stress Level in Snow Weather Condition: A Naturalistic Driving Study in Harbin, China by Zifeng Yang, Zhenwu Shi, Di Lu, Jie Liu

“…The results of hierarchical linear regression models indicated that overall stress scores could be predicted through participants’ sociodemographic characteristics, driving experience, commuting driving, and cognitive bias for commuting time. …”
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Meat consumption and racial/ethnic disparities in population-based study in the city Campinas, Brazil by Samara Agda dos Santos, Josiane Steluti, Natália Simonian Rodrigues Valente Ghedini, Semíramis Martins Álvares Domene

“…Food consumption data were collected using the 24-hour food recall method and meats were classified according to animal origin and type of processing. Linear regression models were run to assess the association between meat consumption and sociodemographic variables with a significance level of 5%. …”
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Air Pollution Mediates the Association between Human Mobility and COVID-19 Infection by Kang Lo, Nguyen Thanh Tung, Chih-Da Wu, Huynh Nguyen Xuan Thao, Hoang Ba Dung, Tran Phan Chung Thuy, Hsiao-Chi Chuang

“…Associations of air pollution with 7-day-lag confirmed COVID-19 cases and with mobility were examined by linear regression models, while the mediating effects were assessed using a PROCESS analysis. …”
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PHYSICS-DRIVEN FEATURE CREATION TO IMPROVE MACHINE LEARNING MODELS PERFORMANCE FOR OIL PRODUCTION RATE PREDICTION by Eghbal Motaei, Seyed Mehdi Tabatabai, Tarek Ganat, Ahmad Khanifar, Sulaiman Dzaiy, Timur Chis

“…The Random Forest and linear regression models outperformed the others, particularly when built based on physics-driven features. …”
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Associations of multiple adverse childhood experiences, attachment insecurity and loneliness with physical and mental health difficulties in a representative Slovak sample by Natalia Kascakova, Jana Furstova, Jozef Hasto, Peter Tavel

“…Sample and settings: A cross-sectional study with a representative Slovak sample (n = 1018, mean age 46.24 years, 48.7 % men) collected in April 2019 data on ACE (Adverse Childhood Experiences International Questionnaire; ACE-IQ), attachment (Experiences in Close Relationships Revised; ECR-R-14), mental and physical health (SF-8 Health Survey; questions on long-term health difficulties) and loneliness single-item question. Nested linear regression models were employed to analyzed the associations. …”
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High-resolution mapping of peatland CO2 fluxes using drone multispectral images by R. Walcker, C. Le Lay, L. Gandois, A. Elger, V.E.J. Jassey

“…To assess the ability of drone multispectral images at providing relevant information for the prediction of CO2 fluxes, we developed robust linear regression models and used drone imagery to map net ecosystem exchange, ecosystem respiration and gross ecosystem productivity at a very fine scale (∼5 cm). …”
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Appendicular Skeletal Muscle Index Is Positively Related to Mediterranean Diet Adherence in University Students by Paraskevi Detopoulou, Olga Magni, Ioanna Pylarinou, Despoina Levidi, Vassilios Dedes, Milia Tzoutzou, Konstantina Argyri, Evangelia Fappa, Aristea Gioxari, George Panoutsopoulos

“…Multivariate linear regression models with log-aSMI as a dependent variable were applied. …”
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The relationship between prenatal drought exposure and the diversity and composition of gut microbiome in pregnant women and neonates by Qingbo Fang, Tianlai Qiu, Fenglan Chen, Xuqi Tian, Zijun Feng, Yanan Cao, Jinbing Bai, Jing Huang, Yanqun Liu

“…We found that in the neonatal gut microbiome, Sediminibacterium and Thermovirga were positively associated with SPEI after controlling for PM2.5 in linear regression models. Additionally, SPEI was significantly associated with phenylpropanoid biosynthesis and cyanoamino acid metabolism in neonates. …”
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Distribution of Pupil Size and Associated Factors: Results from the Population-Based Gutenberg Health Study by Marian Kiel, Stephanie D. Grabitz, Susanne Hopf, Thomas Koeck, Philipp S. Wild, Irene Schmidtmann, Karl J. Lackner, Thomas Münzel, Manfred E. Beutel, Norbert Pfeiffer, Alexander K. Schuster

“…The associations of ocular geometry, the participants’ demographics, and their history of systemic diseases and medication intake with physical pupil size were assessed using multivariable linear regression models. Results. 18,335 eyes of 9,559 participants aged 40 to 80 years were included in the analysis. …”
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Evaluation of disparities in hospitalisation outcomes for deaf and hard of hearing patients with COVID-19: a multistate analysis of statewide inpatient databases from Florida, Mary... by Hiraku Kumamaru, Loren G Miller, Rie Sakai-Bizmark, Dennys Estevez, Emily H Marr, Jong Hyon Lee, Frank Wu

“…Multivariable log-transformed linear regression models found an association of patients’ hearing loss status with longer length of stay (adjusted mean ratio (aMR) 1.15, 95% CI 1.04 to 1.27, p&lt;0.01), higher hospitalisation cost (aMR 0.96, 95% CI 1.00 to 1.22, p=0.049) and lower hospitalisation cost per day (aMR 0.96, 95% CI 0.92 to 1.00, p=0.04). …”
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Area deprivation and premature cardiovascular mortality: a nationwide population-based study in South Korea by Hyeon Chang Kim, Hokyou Lee, Eunji Kim, Donald Lloyd-Jones, Young Gyu Ko, Byoung Gwon Kim

“…Municipalities were categorised by urbanicity, and adjustments for the number of hospitals and geographical area size were made using log-linear regression models.Results The most deprived municipalities showed 41.6% excess mortality for CVD, 30.3% for ischaemic heart diseases, 60.7% for other heart diseases and 36.9% for cerebrovascular diseases compared with the least deprived municipalities. …”
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