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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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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Different frequencies to estimate bone mineral content from raw bioelectrical impedance data in adolescent soccer players: a critical analysis by Marcus Vinicius de Oliveira Cattem, Josely Correa Koury

“…BMC was quantified using dual-energy X-ray absorptiometry (DXA). Multiple linear regression models and bioelectrical impedance vector analysis (BIVA) were applied to evaluate whole-body and segmental BMC relationships.ResultsMale adolescent soccer players (n = 149; 15.6 ± 0.6 years) participated in this study. …”
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Soil-Landscape Modeling and Remote Sensing to Provide Spatial Representation of Soil Attributes for an Ethiopian Watershed by Nurhussen Mehammednur Seid, Birru Yitaferu, Kibebew Kibret, Feras Ziadat

“…Topographic attributes and the normalized difference vegetation index (NDVI) were used to provide information about the spatial distribution of soil properties using clustering and statistical techniques for the 56 km2 Gumara-Maksegnit watershed in Ethiopia. Multiple linear regression models implemented within classified subwatersheds explained 6–85% of the variations in soil depth, texture, organic matter, bulk density, pH, total nitrogen, available phosphorous, and stone content. …”
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Association between Pan‐Immune Inflammation Value and Sarcopenia in Hypertensive Patients, NHANES 1999–2018 by Lu Long, Bingquan Xiong, Zhidan Luo, Haiyan Yang, Qiang She

“…We used logistic and linear regression models, restricted cubic splines (RCS), and subgroup analyses to evaluate the relationship between pan‐immune‐inflammation value (PIV) and sarcopenia. …”
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Association between life’s essential 8 and bone mineral density among adults aged 20–59 years by Yuyu Cui, Zhening Xu, Zhaoshu Cui, Yuanyuan Guo, Peiwei Wu, Xiaoyan Zhou

“…Weighted multiple linear regression models were applied to assess the association between LE8 scores and varying levels of cardiovascular health (CVH) with BMD. …”
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Challenges, Coping Strategies, and Social Support among Breast Cancer Patients in Ghana by Ruth Boatemaa Benson, Bernice Cobbold, Ellen Opoku Boamah, Cynthia Pomaa Akuoko, Daniel Boateng

“…The associations between sociodemographic characteristics, social network/support, and coping strategies were assessed using linear regression models. Results. The most and least adopted active coping strategies were religious coping and humors, respectively. …”
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What Resilience Skills Do Emergency Workers Need During a Widespread Phase of a Socio-Health Emergency? A Focus on the Role of Hardiness and Resilience by Valeria Giostra, Tiziana Maiorano, Monia Vagni

“…Pearson’s correlation, several hierarchical linear regression models, and moderation analysis were conducted. …”
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Psychosocial Characteristics and Gestational Weight Change among Overweight, African American Pregnant Women by Kelly C. Allison, Brian H. Wrotniak, Emmanuelle Paré, David B. Sarwer

“…Descriptive statistics, correlations, and linear regression modeling were used to characterize the sample and examine predictors of gestational weight gain. …”
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Employee Turnover and Education Sector Service Delivery in Local Governments in Uganda: A Case Study of Rubanda District Local Government. by Mucunguzi, Elly

“…To fit the data, linear regression models were employed. According to research results from the regression models, the provision of services in the education sector in Rubanda District local government is positively impacted by the extent of the problem of labour turnover and its causes (R=7612); the effects of employee turnover on the education sector in Rubanda district local government (R=654); and strategies to reduce employee turnover on education in Rubanda district local government(R=866). …”
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Association of Social Engagement with Brain Volumes Assessed by Structural MRI by Bryan D. James, Thomas A. Glass, Brian Caffo, Jennifer F. Bobb, Christos Davatzikos, David Yousem, Brian S. Schwartz

“…The volumes of 20 regions of interest (ROIs), including total brain, total gray matter (GM), total white matter (WM), each of the four lobar GM and WM, and 9 smaller structures were derived from T1-weighted structural magnetic resonance images. Linear regression models adjusted for age, education, race/ethnicity, intracranial volume, hypertension, diabetes, and control (versus lead worker) status. …”
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Survey of Indoor Air Pollution Health Literacy among Community-dwelling Adults in Taiwan by Jia-Ling Wu, Yu-Han Huang, Yi-Chin Huang, Chien-Cheng Jung, Pei-Chen Lee, Ming-Yeng Lin, Wen-Hsuan Hou, Chung-Yi Li

“…We used weighted multiple linear regression models to identify covariates significantly associated with overall and four matric-specific IAPHL scores. …”
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A Cross-Sectional Study of the Association between Autoantibodies and Qualitative Ultrasound Index of Bone in an Elderly Sample without Clinical Autoimmune Disease by Rosebella A. Iseme, Mark McEvoy, Brian Kelly, Linda Agnew, Frederick R. Walker, Michael Boyle, John Attia

“…The relationship between each autoantibody and bone mass was determined using linear regression models. Anti-nuclear autoantibodies were the most prevalent, positive in approximately 11%, and borderline in roughly 23% of our sample. …”
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Associations between ACE-Inhibitors, Angiotensin Receptor Blockers, and Lean Body Mass in Community Dwelling Older Women by Jennifer W. Bea, Sylvia Wassertheil-Smoller, Betsy C. Wertheim, Yann Klimentidis, Zhao Chen, Oleg Zaslavsky, Todd M. Manini, Catherine R. Womack, Candyce H. Kroenke, Andrea Z. LaCroix, Cynthia A. Thomson

“…Multivariate linear regression models, adjusted for relevant demographics, behaviors, and medications, assessed ACE-I/ARB use/nonuse and LBM associations at baseline, as well as change in LBM over 3 and 6 years. …”
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Predicting the thickness of shallow landslides in Switzerland using machine learning by C. Schaller, C. Schaller, L. Dorren, M. Schwarz, C. Moos, A. C. Seijmonsbergen, E. E. van Loon

“…We tested three machine learning (ML) models based on random forest (RF) models, generalised additive models (GAMs), and linear regression models (LMs). Next, we compared the results to three simple models that link soil thickness to slope gradient (Simple-S/linear interpolation and SFM/log-normal distribution) and elevation (Simple-Z/linear interpolation). …”
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