Impaired creatinine-based estimated glomerular filtration rate in Thai individuals switching to dolutegravir: illustrating the role of cystatin C testing to aid clinical decision m... by Carlo Sacdalan, Curtis Austin, Aswathy Varma, Suteeraporn Pinyakorn, Eugène Kroon, Donn J. Colby, Phillip Chan, Orlanda Goh, Krittaporn Pornpaisakul, Jintana Intasan, Tassanee Luekasemsuk, Merlin L. Robb, Nitiya Chomchey, Nittaya Phanuphak, Jintanat Ananworanich, Sandhya Vasan, Denise Hsu, the SEARCH 010/RV254 study group

“…Random-effect linear regression model was used to assess changes in eGFRcre over 96 weeks from starting ART, and from switching to DTG. …”
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Factors associated with early childhood development: results from the Brazilian National Survey on Child Nutrition (ENANI-2019) by Gilberto Kac, Nadya Helena Alves-Santos, Dayana Rodrigues Farias, Nathalia Cristina Freitas-Costa, Raquel Scincaglia, Paula Normando, Inês Rugani, Elisa Maria de Aquino Lacerda, Sandra Crispim, Alexandra Valeria Maria Brentani, Claudia Regina Lindgren Alves

“…DQ predictors were defined considering distal and proximal levels/variables using a multiple linear regression model and a hierarchical approach.Results The DQ mean was significantly lower among children aged 36–59 months (0.91 (0.88 to 0.93)), boys (1.03 (1.01 to 1.06)) and those from the North region (0.98 (0.93 to 1.04)) compared with children aged 1–35 months (1.18 (1.15 to 1.22)), girls (1.11 (1.08 to 1.13)) and from the Southeast region (1.11 (1.07 to 1.16)). …”
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The association of visceral and subcutaneous fat areas with phenotypic age in non-elderly adults, mediated by HOMA-IR and HDL-C by Yuanhong Liu, Min Xu, Liqing Wang, Linyun Meng, Mengran Li, Shumin Mu

“…Phenotypic Age Acceleration (PhenoAgeAccel) is defined as the residual from a linear regression model predicting PhenoAge on the basis of chronological age. …”
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Kidney failure-related excess mortality during the first three years of the COVID-19 pandemic in the United States: a nation-wide, population-based analysis by Zhenhu Chen, Pingping Jia, Di Xie, Jingyu Xie, Juan Liu, Wangnan Cao, Lefei Han, Jinjun Ran, Shengzhi Sun, Shi Zhao, Yang Ge, Leonardo Martinez, Xin Chen, Peihua Cao

“…Methods We aim to estimate time-varying excess kidney failure-related mortality, which is defined as the difference between observed mortality and expected mortality predicted by a Poisson log-linear regression model, in the United States (March 2020—March 2023). …”
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Effects of Physical Activity Level, Strength, Balance, and Body Composition on Perceived Health in Healthy Adults by José Manuel Delfa-de-la-Morena, Pedro Pinheiro Paes, Frederico Camarotti Júnior, Débora Priscila Lima de Oliveira, Rubem Cordeiro Feitosa, Byanka Santos Cavalcante de Oliveira, Juan-José Mijarra-Murillo, Aranzazu Martínez Moya, Miriam García-González, Francisco De Asís-Fernández

“…Perceived health was calculated using the SF36 questionnaire, which detects health states, both positive and negative. A linear regression model was generated between each domain of SF36 with SOT_CES, BFP, PAL, and S_Index. …”
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Comparing the emotional impact of the UK COVID-19 lockdown in very preterm and full-term born children: a longitudinal study by Zeyuan Sun, Zeyuan Sun, Laila Hadaya, Laila Hadaya, Marguerite Leoni, Marguerite Leoni, Paola Dazzan, Emily Simonoff, Serena J. Counsell, A. David Edwards, Chiara Nosarti, Chiara Nosarti, Lucy Vanes

“…The emotional impact of the COVID-19 lockdown on the child and the parent, measured by the CRISIS, was studied in relation to pre-existing mental health, assessed with the parent-rated Strengths and Difficulties Questionnaire (SDQ), evaluated before the CRISIS completion (mean time gap 15 months). Linear regression model comparisons were conducted to study the effects of COVID-19-related stressors on children's and parents' behavior, relationships and mental health.ResultsThere were no significant group differences in pre-existing SDQ internalizing/externalizing symptoms, child's emotions or parent's emotions during the COVID-19 lockdown. …”
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The effects of citral on the intestinal health and growth performance of American bullfrogs (Aquarana catesbeiana) by Xiaoting Zheng, Qiuyu Chen, Xueying Liang, Jingyi Xie, Alfredo Loor, Hongbiao Dong, Jinlong Yang, Jiasong Zhang

“…Growth performance analysis revealed that 4 mL/kg citral supplementation significantly improved weight gain rate (WGR), specific growth rate (SGR), carcass weight (CW), and feed efficiency (FE), while survival rates declined at 16 mL/kg (P < 0.05). A linear regression model determined the optimal dietary citral concentration to be 3.216–3.942 mL/kg. …”
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Factors influencing salivary lactate dehydrogenase levels in oral squamous cell carcinoma and oral potentially malignant disorders by Rosa María López-Pintor, Rosa María López-Pintor, José González-Serrano, José González-Serrano, Carmen Vallina, Katerina Ivaylova Serkedzhieva, Katerina Ivaylova Serkedzhieva, Leire Virto, Paula Nuevo, Vito Carlo Alberto Caponio, Vito Carlo Alberto Caponio, Margarita Iniesta, Tania Rodríguez Santamarta, Paloma Lequerica Fernández, Óscar Iglesias Velázquez, Óscar Iglesias Velázquez, Gonzalo Hernández, Gonzalo Hernández, Juan Carlos de Vicente, Juan Carlos de Vicente

“…When analyzing periodontal variables among OSCC, OPMD and CG, periodontal probing depth (PPD) and bleeding on probing were significantly higher in the OSCC group, while the plaque index was higher in OPMD patients. The linear regression model for sLDH in the total group identified age and PPD as significant predictors of sLDH levels.DiscussionAlthough sLDH values were higher in OSCC and OPMD patients than in a CG, the results do not support the use of sLDH as a reliable prognostic biomarker of malignancy. …”
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Effect of exposure to environmental phenols and parabens on folate concentrations among 3–19 years old children and adolescents: A cross-sectional study in NHANES 2005–2016 by Meng Ni, Zhenying Lin, Ze Chen, Ziwen Xu, Qianqian Zhang, Jiuru Zhao, Wei Li, Yanan Tang, Zelin Cao, Baihe Li, Dongting Yao, Chunyu Cheng, Yi Hu, Xiaorui Liu, Jiji Chen, Zhiwei Liu

“…Since many pollutants are co-exposed congeners, with interactive effects between pollutants, we employed multivariate linear regression model, weighted quantile sum regression, and Bayesian kernel machine regression (BKMR) to quantify the impact of folate levels in serum and red blood cell (RBC) and the overall effects of combined exposures. …”
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Association between fat-soluble vitamin co-exposure patterns and blood pressure in people with hypertension: a cross-sectional study by Suming Dai, Ping Wang, Sijia Wang, Sijia Wang, Hong Chen, Zhixin Cui, Wenhai Lu, Wenhai Lu, Ziyi Zhou, Ziyi Zhou, Nan Zhang, Zhuo Wang, Tengfei Lin, Tengfei Lin, Yun Song, Yun Song, Lishun Liu, Lishun Liu, Xiao Huang, Ping Chen, Genfu Tang, Yong Duan, Yong Duan, Hao Zhang, Binyan Wang, Binyan Wang, Binyan Wang, Yan Yang, Yan Yang, Yan Yang, Zezhong Tian

“…The multiple linear regression model was used for subsequent analyses.ResultsParticipants were classified into two co-exposure patterns of fat-soluble vitamins. …”
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Progression and mortality of patients with cystic fibrosis in China by Wangji Zhou, Yaqi Wang, Yanli Yang, Yanyan Sun, Chongsheng Cheng, Jinrong Dai, Shuzhen Meng, Keqi Chen, Yang Zhao, Xueqi Liu, Dingding Zhang, Song Liu, Weiguo Zhu, Yaping Liu, Kai-Feng Xu, Xinlun Tian

“…The generalized linear regression model showed that higher baseline FEV1% predicted and occurrence of pulmonary exacerbations were associated with the progression of patients with CF. …”
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Disease activity in patients with idiopathic inflammatory myopathy according to time since diagnosis and positivity to antisynthetase autoantibodies: data from the Myo-Spain regist... by Tatiana Cobo-Ibáñez, Ivan Castellví, Ana Pros, Marta Domínguez-Álvaro, Laura Nuño-Nuño, Julia Martínez-Barrio, Vega Jovaní, Fredeswinda Romero-Bueno, Esther Ruiz-Lucea, Eva Tomero, Ernesto Trallero-Araguás, Javier Narváez, Jordi Camins-Fàbregas, Alberto Ruiz-Román, Jesús Loarce-Martos, Susana Holgado-Pérez, V Miguel Flores-Rodríguez, Francisca Sivera, Carolina Merino-Argumanez, Antonio Juan-Mas, Irene Altabás-González, María Martín-López, Joaquín María Belzunegui-Otano, Carmen Carrasco-Cubero, Mercedes Freire-González, Iñigo Rúa-Figueroa, Nuria Lozano-Rivas, Julio David Suarez-Cuba, Olga Martínez, Rafaela Ortega-Castro, Patricia Alcocer, Alejandro Gómez-Gómez, Olga Sánchez-Pernaute, José Luis Tandaipan, Irene Carrión-Barberà, Chamaida Plasencia-Rodríguez, Oihane Ibarguengoitia-Barrena, Paola Vidal-Montal, Vera Ortiz-Santamaria, Noemi Garrido-Puñal, Anne Riveros, Esmeralda Delgado-Frías, Juan Miguel López-Gómez, Carmen Barbadillo, José María Pego-Reigosa, Beatriz E. Joven-Ibáñez, Jesús Alejandro Valero-Jaimes, Elena Naveda, Ana Isabel Turrión-Nieves, Daniel Seoane-Mato, Francisco Javier Prado-Galbarro, M Ángeles Puche-Larrubia

“…We analyzed associations using a multivariate generalized linear model and a simple linear regression model. Results A total of 554 patients with different diagnostic subgroups of IIM were included (136 incident and 418 prevalent cases), with 215 ASA-positive patients (58 incident and 157 prevalent cases). …”
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600 meters to VO2max: Predicting Cardiorespiratory Fitness with an Uphill Run by Kübra Stoican, Regina Oeschger

“…Subsequently, various studies have shown that deep learning models outperform linear regression models in predicting VO2max values [5]. Previous studies also showed that, to accurately predict VO2max in a laboratory or through indirect tests, individuals need to reach their maximal effort rather than performing submaximal exercises [6]. …”
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Inflammatory Markers Are Positively Associated with Serum trans-Fatty Acids in an Adult American Population by Mohsen Mazidi, Hong-kai Gao, Andre Pascal Kengne

“…Analysis of covariance and multivariable-adjusted linear regression models were used to investigate the associations between these parameters, accounting for the survey design. …”
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Spot Urine Estimations Are Equivalent to 24-Hour Urine Assessments of Urine Protein Excretion for Predicting Clinical Outcomes by Boon Wee Teo, Ping Tyug Loh, Weng Kin Wong, Peh Joo Ho, Kwok Pui Choi, Qi Chun Toh, Hui Xu, Sharon Saw, Titus Lau, Sunil Sethi, Evan J. C. Lee

“…Results. The linear regression models showed that 24 hr urine protein excretion was most predictive of GFR decline but all other methods were similar. …”
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Emotional State as a Key Driver of Public Preferences for Flower Color by Juan She, Renwu Wu, Bingling Pi, Jie Huang, Zhiyi Bao

“…Factors such as age, annual household income level (AI), personal income sources (PI), nature experience, and emotional state (TMD) significantly influence color preferences, with emotional state identified as the most critical factor. Lastly, linear regression models further explain the potential mechanism of the influencing factors. …”
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Novel Degree-Based Topological Descriptors of Carbon Nanotubes by M. C. Shanmukha, A. Usha, M. K. Siddiqui, K. C. Shilpa, A. Asare-Tuah

“…Also, the aforementioned three indices along with the geometric-harmonic index are tested for physicochemical properties of octane isomers using linear regression models and computed for some carbon nanotubes.…”
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Physiological Aldosterone Concentrations Are Associated with Alterations of Lipid Metabolism: Observations from the General Population by M. Hannich, H. Wallaschofski, M. Nauck, M. Reincke, C. Adolf, H. Völzke, R. Rettig, A. Hannemann

“…The associations of aldosterone with serum lipid concentrations were assessed in multivariable linear regression models adjusted for sex, age, body mass index (BMI), estimated glomerular filtration rate (eGFR), and HbA1c. …”
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Association of caffeine intake and sleep duration with bone mineral density: a cross-sectional study from National Health and Nutrition Examination Survey between 2011 and 2018 by Yuxue He, Wenjia Zou, Fei Xiao

“…Multivariable linear regression models, adjusted for confounders, were used alongside restricted cubic splines to examine dose-response association. …”
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Sticky Costs Behavior and Earnings Management by Alini da Silva, Vinícius Costa da Silva Zonatto, Cristian Baú Dal Magro, Roberto Klann

“…The sample comprised 160 Brazilian companies listed on BM&FBovespa between 2008 and 2017. Multiple linear regression models were used to analyze the data. We observed that accounting profit is affected by sticky costs behavior and by earnings management practices. …”
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