Exploring the relationships between self-efficacy, self-care, and glycaemic control in primary care diabetes management by Le Ho Thi Quynh Anh, Nguyen Vu Quoc Huy, Nguyen Minh Tam, Johan Wens, Anselme Derese, Wim Peersman, Vo Ngoc Ha My, Tran Binh Thang, Nguyen Thi Phuong Anh, Tran Thi Truc Ly, Peter Pype

“…The Diabetes Management Self-Efficacy Scale (DMSES) and Summary of Diabetes Self-Care Activities (SDSCA) questionnaire measured patients’ self-efficacy and self-care practice. Multivariate logistic regression models were developed to explore how SDSCA, DMSES, and their combined effect relate to glycaemic control, adjusting for patient characteristics. …”
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Association of glycemic control with Long COVID in patients with type 2 diabetes: findings from the National COVID Cohort Collaborative (N3C) by Jane E B Reusch, Rachel Wong, Nasia Safdar, Harold Lehmann, Brijesh Patel, Til Stürmer, Hongfang Liu, Peter Robinson, Elaine Hill, Richard Moffitt, Justin Guinney, Joel Gagnier, Cavin Ward-Caviness, Noha Sharafeldin, Justin Starren, Amit Saha, Lesley Cottrell, Melissa A Haendel, Margaret A Hall, Vignesh Subbian, Kristin Kostka, Farrukh M Koraishy, Andrew E Williams, Robert Hurley, Steve Johnson, Usman Sheikh, Rishi Kamaleswaran, Christopher Dillon, Michele Morris, Randeep Jawa, Hemalkumar Mehta, Benjamin Bates, Tellen D Bennett, Nabeel Qureshi, Katie Rebecca Bradwell, Federico Mariona, Adam B Wilcox, Adam M Lee, Alexis Graves, Amin Manna, Amy Olex, Andrea Zhou, Andrew Southerland, Andrew T Girvin, Anita Walden, Anjali A Sharathkumar, Benjamin Amor, Brian Hendricks, Caleb Alexander, Carolyn Bramante, Charisse Madlock-Brown, Christine Suver, Christopher Chute, Chunlei Wu, Clare Schmitt, Cliff Takemoto, Dan Housman, Davera Gabriel, David A Eichmann, Diego Mazzotti, Eilis Boudreau Don Brown, Elizabeth Zampino, Emily Carlson Marti, Emily R Pfaff, Evan French, Fred Prior, George Sokos, Greg Martin, Heidi Spratt, Hythem Sidky, JW Awori Hayanga, Jami Pincavitch, Jaylyn Clark, Jeremy Richard Harper, Jessica Islam, Jin Ge, Joel H Saltz, Joel Saltz, Johanna Loomba, John Buse, Jomol Mathew, Joni L Rutter, Julie A McMurry, Karen Crowley, Kellie M Walters, Ken Wilkins, Kenneth R Gersing, Kenrick Dwain Cato, Kimberly Murray, Lavance Northington, Lee Allan Pyles, Leonie Misquitta, Lili Portilla, Mariam Deacy, Mark M Bissell, Marshall Clark, Mary Emmett, Mary Morrison Saltz, Matvey B Palchuk, Meredith Adams, Meredith Temple-O'Connor, Michael G Kurilla, Nicole Garbarini, Ofer Sadan, Patricia A Francis, Penny Wung Burgoon, Rafael Fuentes, Rebecca Erwin-Cohen, Richard A Moffitt, Richard L Zhu, Robert T Miller, Saiju Pyarajan, Sam G Michael, Samuel Bozzette, Sandeep Mallipattu, Satyanarayana Vedula, Scott Chapman, T Shawn, Soko Setoguchi O'Neil, Stephanie S Hong, Tiffany Callahan, Umit Topaloglu, Valery Gordon, Warren A Kibbe, Wenndy Hernandez, Will Beasley, Will Cooper, William Hillegass, Xiaohan Tanner Zhang, Samuel Soff, Yun Jae Yoo, Jared Davis Huling, Daniel Brannock, Zachary Butzin-Dozier, Alfred Jerrod Anzalone, Philip RO. Payne, Rena Patel

“…Symptoms were identified as keywords from clinical notes using NLP in respiratory, brain fog, fatigue, loss of smell/taste, cough, cardiovascular and musculoskeletal symptom categories. Logistic regression was used to evaluate the risk of Long COVID by HbA1c range, adjusting for demographics, body mass index, comorbidities, and diabetes medication. …”
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The Effect of Coronary Artery Disease on the Prognosis of Hypertrophic Cardiomyopathy: A Multi-Center Cohort Study by Guoqing Hou, Qian Liao, Huihui Ma, Yan Shu, Shengzhi Zeng, Yongmei Zhou, Liangjun Luo, Gang Zhao, Tao He, Mingjiang Liu, Jianhong Tao, Wei Hua, Xiaoping Li

“…Sudden cardiac death (SCD), cardiovascular death, and all-cause mortality were assessed as outcomes. Using logistic regression, nine indicators were selected for 1:1 propensity score matching (PSM). …”
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The association of travel distance and other patient characteristics with breast cancer stage at diagnosis and treatment completion at a rural Rwandan cancer facility by Kayleigh Bhangdia, Abirami Natarajan, Niclas Rudolfson, Stéphane Verguet, Marcia C. Castro, Jean-Marie Vianney Dusengimana, Cyprien Shyirambere, Lauren E. Schleimer, Lawrence N. Shulman, Aline Umwizerwa, Catherine Kigonya, John Butonzi, Emily MacDuffie, Temidayo Fadelu, Daniel S. O’Neil, Cam Nguyen, Tharcisse Mpunga, Nancy L. Keating, Lydia E. Pace

“…We calculated travel distances using spatial analytic software and used multivariable logistic regression to examine the association of distance and other patient characteristics with late-stage diagnoses and treatment completion within one year of diagnosis. …”
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Associations of co-exposure to polycyclic aromatic hydrocarbons and vitamin D with early lung dysfunction: Mediating roles of metabolic score-visceral adiposity index by Baihao Lin, Wanlu Liu, Hank-Han Wang, Haixia Qian, Xinyu Zhu, Mengya Xu, Yuyu Zheng, Nada Alhazmi, Yansen Bai

“…The interaction effects between vitamin D and PAHs were evaluated using multiple linear and logistic regression models. Causal mediation analyses and structural equation modeling were employed to investigate the mediating roles of metabolic indicators. …”
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Bidirectional effect modifications of temperature and PM2.5 on myocardial infarction morbidity and mortality in Beijing, China from 2007 to 2021 by Piaopiao Hu, Qinghui Zeng, Jie Chang, Moning Guo, Feng Lu, Yue Qi, Zhao Yang, Pingping Jia, Qiuju Deng, Jing Liu

“…Methods: A time-stratified case-crossover study was conducted utilizing high-resolution data of temperature and PM2.5, along with 498,077 MI cases from the citywide registry in Beijing, China from 2007 to 2021. A conditional logistic regression model combined with a distributed lag non-linear model was used to examine linear and categorical effect modifications of temperature and PM2.5 on MI morbidity and mortality. …”
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Prevalence of depression and its correlates among undergraduate health science students in Mogadishu, Somalia: a cross-sectional study by Bashiru Garba, Samiro Ali Mohamed, Maria Mowlid Mohamed, Hodo Aideed Asowe, Najib Isse Dirie, Yushau Umar, Jamal Hassan Mohamoud, Mohamed Hussein Adam, Jihaan Hassan, Fartun Abdullahi Hassan Orey, Abdullahi Abdirahman Omar, Ibrahim Abdullahi Mohamed, Mohamad Mustaf Ahmed, Samira Abdullahi Moalim

“…The collected data were cleaned and checked for completeness before exporting into SPSS version 27 Statistical software for analysis, where descriptive statistics as well as logistic regression analysis was done to determine the independent predictors of the outcome variable. …”
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Sex disparity in the association between alcohol consumption and sarcopenia: a population-based study by Longbao Yang, Longbao Yang, Qiuju Ran, Qiuju Ran, Yee Hui Yeo, Zhang Wen, Zhang Wen, Shuyue Tuo, Shuyue Tuo, Yong Li, Yong Li, Jia Yuan, Jia Yuan, Shejiao Dai, Shejiao Dai, Jinhai Wang, Jinhai Wang, Fanpu Ji, Fanpu Ji, Fanpu Ji, Fanpu Ji, Xinxing Tantai, Xinxing Tantai

“…Alcohol exposure was defined as daily alcohol intake, alcohol drinking history, number of drinking days per week, and frequency of binge drinking days per month. Weighted logistic regressions were used to determine associations.ResultsFour cohorts were selected from the NHANES III: cohort 1 (n = 7,592), cohort 2 (n = 12,060), cohort 3 (n = 7,608), and cohort 4 (n = 7,649), corresponding to alcohol exposure categories of daily alcohol intake, drinking history, number of drinking days per week, and frequency of binge drinking days per month. …”
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Assessment of six insulin resistance surrogate indexes for predicting stroke incidence in Chinese middle-aged and elderly populations with abnormal glucose metabolism: a nationwide... by Luqing Jiang, Tengxiao Zhu, Wenjing Song, Ying Zhai, Yu Tang, Fengxia Ruan, Zichen Xu, Lei Li, Xia Fu, Daoqin Liu, Aidong Chen, Qiwen Wu

“…Methods Data from the China Health and Retirement Longitudinal Study (CHARLS) were analysed in this study. Multivariate logistic regression models were applied to analyse the relationships of IR surrogate indexes with stroke risk. …”
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Ventilatory variables and computed tomography features in COVID-19 ARDS and non–COVID-19-related ARDS: a prospective observational cohort study by Li-Chung Chiu, Hsin-Hsien Li, Yu-Hsiang Juan, How-Wen Ko, Scott Chih-Hsi Kuo, Chung-Shu Lee, Tien-Ming Chan, Yu-Jr Lin, Li-Pang Chuang, Han-Chung Hu, Kuo-Chin Kao, Ping-Chih Hsu

“…The CT severity score for each of the five lung lobes and total CT scores were all significantly higher in the non–COVID-19 group (all p < 0.05). Multivariable logistic regression models revealed that Sequential Organ Failure Assessment (SOFA) score was independently associated with mortality in the COVID-19 group. …”
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The temporal change of heat exposure and adaptation capacity in Chinese adults from 1994 to 2023 by Xiaohui Ji, Haomin Tan, Shaoli Huang, Zhongguo Huang, Jianxiong Hu, Jianxiong Hu, Guanhao He, Fengrui Jing, Ziqiang Lin, Mengen Guo, Tao Liu, Wenjun Ma, Wenjun Ma

“…The Chi square test was employed to compare the difference between different demographic subgroups during 2014–2023. Multivariate logistic regression model was used to analyze the risk factors of air conditioner ownership.ResultsMost respondents (94.6%) thought ambient temperature had been increasing, and 57.0% people thought climate change impacted their health. …”
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High-Titer Rheumatoid Factor is Associated with Worse Clinical Outcomes and Higher Needs for Advanced Therapies in Rheumatoid Arthritis Under Real-Life Conditions by Victor Davi R. S. Oliveira, Ana Paula M. G. Reis, Claiton V. Brenol, Ivânio A. Pereira, Karina R. Bonfiglioli, Letícia R. Pereira, Manoel B. Bértolo, Maria de Fátima L. C. Sauma, Maria Fernanda B. R. Guimarães, Paulo Louzada-Júnior, Rina D. N. Giorgi, Sebastião C. Radominski, Licia Maria H. Mota, Cleandro P. Albuquerque, Geraldo R. Castelar-Pinheiro

“…Bivariate (Student’s t and chi-squared tests) tests and multiple logistic and linear regression analyses were conducted. …”
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Risk factors associated with mortality and pathogen characteristics of bloodstream infection-induced severe sepsis in the pediatric intensive care unit: a retrospective cohort stud... by Jian Chen, Jian Chen, Haixin Huang, Ruichen Zhang, Yueqiang Fu, Chunmei Jing

“…Clinical and laboratory indicators along with pathogen characteristics were summarized. Logistic regression analysis was employed to identify independent risk factors associated with 28-day mortality.ResultsA total of 192 patients with bloodstream infection (BSI)-induced severe sepsis were identified, with a 28-day in-hospital mortality rate of 36.98% (71/192). …”
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The impact of pre-transplant ventricular assist device support in pediatric patients with end-stage heart failure on the outcomes of heart transplantation—“a single center experien... by L. Lily Rosenthal, L. Lily Rosenthal, L. Lily Rosenthal, Carola Grinninger, Sarah Marie Ulrich, Robert Dalla Pozza, Nikolaus A. Haas, Paolo Brenner, Michael Schmoeckel, Sebastian Michel, Sebastian Michel, Sebastian Michel, Christian Hagl, Christian Hagl, Jürgen Hörer, Jürgen Hörer, Jürgen Hörer

“…Secondary outcome was examined by mean of univariable and multivariable logistic regression, severity of cardiac disease based on ECMO-support pre VAD-support, mean waiting time for transplantation, mean OR time and mean length of hospital stay before and after transplantation.Results144 patients could be included in the final analysis. …”
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Prevalence and clinical profile of comorbidity among newly diagnosed pulmonary tuberculosis patients: a multi-center observational study in eastern China by Wei Wang, Wei Wang, Xiaomeng Wang, Xiaomeng Wang, Songhua Chen, Jun Li, Qinglin Cheng, Yu Zhang, Qian Wu, Qian Wu, Kui Liu, Kui Liu, Xuli Jiang, Bin Chen, Bin Chen

“…Univariate and multivariate logistic regression analyzes were performed to identify the effects of comorbidities on the clinical features of the participants.ResultsOf the 8,421 total participants, 27.6% reported cavities in the chest radiography results, 41.9% were Mycobacterium tuberculosis-positive in the etiology test results, and 38.7% (3,258/8,421) had at least one type of comorbidity. …”
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Association between Loa loa microfilaremia and anatomical hyposplenia in a rural area of the Republic of Congo: a population-based cross-sectional study by Charlotte Boullé, Elodie Lebredonchel, Jérémy T. Campillo, Valentin Dupasquier, Marlhand C. Hemilembolo, Sébastien D. S. Pion, Jean Claude Djontu, Ludovic Rancé, Philippe Souteyrand, François Missamou, Michel Boussinesq, Francine Ntoumi, Cédric B. Chesnais

“…Blood samples were analyzed for L. loa MFD, Plasmodium-PCR, Anti-Plasmodium falciparum-IgG, total IgM, sickle-cell disease status, and hematological abnormalities. Linear and logistic regressions were used to assess these associations. …”
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Metabolic syndrome in type 1 diabetes: higher time above range and glycemic variability revealed by continuous glucose monitoring (CGM) by Yayu Fang, Wei Liu, Xiaoling Cai, Yu Zhu, Mingxia Zhang, Siqian Gong, Xiangqing Wang, Chu Lin, Rui Zhang, Sai Yin, Juan Li, Yongran Huo, Xiaodan Hu, Xiaoqi Xie, Linong Ji

“…The comparison of CGM metrics suggested significantly higher time above range (TAR, 48.9%, IQR 35.3–59.5 vs. 32.8%, IQR 16.1–47.6; P < 0.001), standard deviation (SD, 3.6 ± 0.9 mmol/L vs. 3.2 ± 1.0 mmol/L; P = 0.022) and interquartile range (IQR, 4.2 mmol/L, IQR 3.2–4.8 vs. 3.7 mmol/L, IQR 3.0-4.5; P = 0.046) in those with metabolic syndrome. And the Logistic regression analysis showed that TAR (OR 1.53, 95% CI 1.02–2.23, per 20% increase), SD ( OR 1.75, 95% CI 1.07–2.84, P = 0.025) and IQR (OR 1.50, 95% CI 1.03–2.19, P = 0.036) were positively associated with metabolic syndrome after adjusting for age, sex, diabetes duration, BMI and complication status. …”
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Sex-related association between smoke exposure and gallstones in a US population: a cross-sectional study by Xingyong Huang, Xuanyu Hao, Tingting Wang, Xiaoyue Zhang, Peng Wu, Lufan Shen, Yuanyuan Yang, Wanchuan Zhang, Kai Zhang

“…Results Of the 6,982 participants, a total of 6.2% (212) men and 14.5% (512) women reported having gallstones. Logistic regression analysis showed smoking and high serum cotinine level were risk factors associated with gallstones among women, both in the model 1 (current smoker: odds ratio [OR] = 1.563, 95% confidence interval [CI] = 1.044–2.339, p = 0.032; former smoker: OR = 1.434, 95% CI = 1.116–1.842, p = 0.007; cotinine ≥ 3 ng/mL: OR = 1.800, 95% CI = 1.247–2.596, p = 0.005; and cotinine 0.05–2.99 ng/mL: OR = 1.640, 95% CI = 1.188–2.263, p = 0.005) and model 2 (current smoker: OR = 1.588, 95% CI = 1.015–2.483, p = 0.044; cotinine ≥ 3 ng/mL: OR = 1.825; 95% CI = 1.181–2.821, p = 0.011; and cotinine 0.05–2.99 ng/mL: OR = 1.509, 95% CI = 1.075–2.126, p = 0.022). …”
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Anticholinergic burden and behavioral and psychological symptoms in older patients with cognitive impairment by Sabrina Pistorio, Gianluca Scotto di Tella, Vittoria Canzanella, Raffaella Merenda, Gianluigi Cuomo, Paola Iacotucci, Vincenzo Carnovale, Leonardo Bencivenga, Maria Vargas, Annalaura Manes, Mauro Cataldi, Giuseppe Rengo, Giuseppe Rengo, Michela Zanetti, Grazia Daniela Femminella, Grazia Daniela Femminella

“…A multiple linear regression was performed to identify factors associated with higher NPI score and a logistic regression model was built to identify drug classes associated with ACB ≥ 3.ResultA total of 173 patients (mean age 74 ± 7, 74 men) were included in the study; 132 patients with ACB &lt; 3 (low risk) versus 41 patients with ACB ≥3 (high risk) were compared. …”
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Hypertension moderates the relationship between plasma beta-amyloid and cognitive impairment: a cross-sectional study in Xi’an, China by Ziyu Liu, Yaoli He, Simeng Cui, Liangjun Dang, Binyan Zhang, Jin Wang, Wenhui Lu, Kang Huo, Yu Jiang, Chen Chen, Ling Gao, Shan Wei, Yi Zhao, Ningwei Hu, Jingyi Wang, Hong Lv, Hong Lv, Qiumin Qu, Qiumin Qu, Suhang Shang

“…Decreased plasma Aβ40 was defined as &lt; 25th percentile. Multivariate logistic regression examined the relationship between plasma Aβ and CI in total population, the hypertension subgroup and the non-hypertension subgroup.Results737 participants (49.5%) had hypertension and 189 participants (12.7%) had CI. …”
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