Relationship between social determinants of health and cognitive performance in an older American population: a cross-sectional NHANES study by Zhen-Guo Yang, Xu Sun, Xue Han, Xiao Wang, Lei Wang

“…Multifactorial linear regression modeling was employed to explore the association between SDoH and cognitive performance. …”
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Machine and deep learning performance in out-of-distribution regressions by Assaf Shmuel, Oren Glickman, Teddy Lazebnik

“…We extensively ( $n \gt 40\,000$ runs) compare the ID versus OOD performance of XGBoost, random forest, K-nearest-neighbors, support vector machine, and linear regression models, as well as AutoML models (Tree-based Pipeline Optimization Tool and AutoKeras). …”
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Inflammatory Markers in Rheumatoid Patients and Cardiac Function: Insights from an Iranian University Hospital by Fatemeh Omidi, Parisa Delkash

“…The correlation between RA inflammatory markers and cardiac function parameters was analyzed using Pearson correlation coefficients. Multiple linear regression models were employed to further explore these associations. …”
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Association of baseline plasma fibrinogen levels with cognitive and affective status at 30 and 90 days in individuals with ischemic stroke: A prospective study from Nigeria by Adekola B. Ademoyegun, Taofeek O. Awotidebe, Marufat O. Odetunde, Samuel O. Inaolaji, Serifat O. Bakare, Funmilola W. Azeez, Olanrewaju Olayemi

“…RESULTS: After adjusting for important covariates, the multiple linear regression models showed that baseline plasma fibrinogen was associated with the symptoms of depression, anxiety, and cognitive decline at both 30- and 90-day follow-up (P < 0.05). …”
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Systemic immune-inflammation index mediates the association between abdominal obesity and serum klotho levels by Chenchun Chen, Peng Tang, Wei Zhu

“…Our analysis revealed a significant negative correlation between WWI and serum α-Klotho levels in the survey-weighted multiple linear regression models (adjusted percent change: -7.79; 95% CI: -10.15, -5.37). …”
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Health-related quality of life in patients with non-communicable disease: study protocol of a cross-sectional survey by Els Clays, Pauline Boeckxstaens, Delphine De Smedt, Peter Pype, Brecht Devleesschauwer, Lisa Van Wilder, Diego Schrans

“…Statistical analyses will be performed using multiple linear regression models with HRQoL as main outcome parameter, adjusted for possible confounders. …”
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Impact of Gastrointestinal Symptoms on Health-Related Quality of Life in an Australian Parkinson’s Disease Cohort by Jade E. Kenna, Megan C. Bakeberg, Maddison Y. Abonnel, Frank L. Mastaglia, Ryan S. Anderton

“…Covariate corrected linear regression models were utilised to determine significant associations between GIS and QoL scores. …”
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Relationship of smoking cessation duration and cognitive function among middle-aged and older adults in China: a national cross-sectional study by Wenhang Zuo, Jin Peng, Jinhui Wu

“…After discretizing the duration of ex-smokers (quitting ≤2 years, 3–8 years, 9–19 years, and ≥20 years), multiple linear regression models were established with current smokers as reference.ResultsA total of 5,561 respondents (67.7 ± 6.2 years; 54.1% men) were included. …”
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Predicting construction waste in Egyptian residential projects: a robust multiple regression model approach by Mohamed KhairEldin, Ahmed Osama Daoud, Ahmed Hussein Ibrahim, Hossam M. Toma

“…This study addresses this challenge by proposing multiple linear regression models to predict waste generation in residential buildings within the Egyptian construction industry, considering the influence of factors such as building design and site management features. …”
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Exploring the Association Between Overactive Bladder (OAB) and Cognitive decline: mediation by depression in elderly adults,   a NHANES weighted analysis by Ling Liu

“…Depression incidence was also recorded. Weighted linear regression models adjusted for demographic, behavioral factors, and comorbidities (e.g., diabetes, kidney disease etc.), were employed to examine the independent association between cognitive health and OAB. …”
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Desigualdades na mortalidade infantil no Município de São Paulo: em busca do melhor indicador by Ligia Vizeu Barrozo

“…Statistical analyzes comprised simple non-spatial linear regression models (Ordinary Least Squares). Due to the spatial dependence of the residues of these models, global spatial regression models were applied, which were not able to fully explain the studied mortalities. …”
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Sex differences in the association between lipids and cognitive function in older adults by Jiahao Chen, Yinming Wang, Wenyan Guo, Muyuan Jiang, Zixuan Gai, Huinan Zhang, Mulei Chen, Yifan Fan

“…Cognitive function was assessed using the Digit Symbol Substitution Test (DSST). Multiple linear regression models and restricted cubic spline curve fitting were used. …”
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Relationship between Moderate-to-Vigorous Physical Activity with Health-Related Physical Fitness Indicators among Pakistani School Adolescents: Yaali-Pak Study by Syed Muhammad Zeeshan Haider Hamdani, Zhuang Jie, Syed Ghufran Hadier, Wang Tian, Syed Danish Haider Hamdani, Shaista Shireen Danish, Syeda Urooj Fatima

“…A total of 2970 participants (1477 boys and 1493 girls) aged adolescents from South Punjab, Pakistan, completed health-related physical fitness indicators measuring strength, endurance, and aerobic capacity through a hand-grip strength test, modified pull-up test, plank test, and 20-m shuttle run test, and physical activity were subjectively assessed by International Physical Activity Questionnaire Short Form (IPAQ-SF). Linear regression models were used to explore the between moderate-to-vigorous physical activity (MVPA) with health-related physical fitness indicators. …”
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Elevation of preoperative cystatin C as an early predictor of contrast-induced nephropathy in patients receiving percutaneous coronary intervention by Guoqiang Gu, Ningning Yu, Yaqing Zhou, Wei Cui

“…Furthermore, the linear regression models identified an association between CysC before PCI and renal function after PCI. …”
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Risk factors for prolonged surgical duration of tracheobronchial foreign body removal in children: a single-center retrospective study by Zhe Su, Jianmin Zhang, Zhengzheng Gao, Fang Wang, Lijing Li, Zenghua Xu, Heqi Liu, Fuzhou Zhang

“…Statistical analysis utilized both univariate and multivariate linear regression models to assess factors influencing the surgical duration of tracheobronchial foreign body removal in children.ResultsThe mean age of children with tracheobronchial foreign body was 1.59 years (1.32, 2.04). …”
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APOE4 and infectious diseases jointly contribute to brain glucose hypometabolism, a biomarker of Alzheimer's pathology: New findings from the ADNI. by Aravind Lathika Rajendrakumar, Konstantin G Arbeev, Olivia Bagley, Matt Duan, Anatoliy I Yashin, Svetlana Ukraintseva, Alzheimer’s Disease Neuroimaging Initiative

“…<h4>Methods</h4>We analyzed data on 1,509 participants in the Alzheimer's Disease Neuroimaging Initiative (ADNI) database using multivariate linear regression models. The outcomes were rank-normalized hypometabolic convergence index (HCI), statistical regions of interest (SROI) for AD, and mild cognitive impairment (MCI). …”
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The association between a body shape index and depressive symptoms: a cross-sectional study using NHANES data (2011–2018) by Zheng Zhang, Xiang-Yan Ruan, Wei Ma

“…ABSI was calculated from waist circumference, height, and BMI. Multiple linear regression models were employed to investigate the association between ABSI and depressive symptoms, with subgroup analyses to examine potential associations within specific populations.ResultsHigher ABSI was significantly associated with increased depressive symptoms, after adjusting for covariates including age, sex, race, marital status, poverty-income ratio, smoking, alcohol consumption, physical activity, diabetes, and hypertension. …”
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Speed Distribution Prediction of Freight Vehicles on Mountainous Freeway Using Deep Learning Methods by Yuren Chen, Yu Chen, Bo Yu

“…The result can be related to the threshold of drivers’ information processing on mountainous freeway. Multiple linear regression models were constructed to be a contrast with the LSTM model, and the results showed that LSTM was superior to regression models in terms of the model accuracy and interpretability of the driving process and the formation of vehicle speed. …”
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GIS-Based Spatial Autocorrelation Analysis of Housing Prices Oriented towards a View of Spatiotemporal Homogeneity and Nonstationarity: A Case Study of Guangzhou, China by Shaopei Chen, Dachang Zhuang, Huixia Zhang

“…The integration and comparative analysis of multiple linear regression models, spatial autocorrelation models, and geographically weighted regressing (GWR) models are implemented, focusing on exploring the influencing factors of house prices, especially characterizing the spatial heterogeneity and nonstationarity of housing prices oriented towards the spatial differences of urban spatial development, infrastructure layout, land use, and planning. …”
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Cytomegalovirus Infection and Its Relationship with Leukocyte Telomere Length: A Cross-Sectional Study by Zhu Lin, Hongmei Gao, Bing Wang, Yongqiang Wang

“…The association between telomere length with previous CMV infection and CRP was analyzed using multivariable linear regression models. We further tested if obesity, measured by body mass index (BMI), and smoking could modify this relationship. …”
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