The impact of war on people with type 2 diabetes in Ukraine: a survey studyResearch in context by Oksana Sulaieva, Viktoriia Yerokhovych, Sergii Zemskov, Iuliia Komisarenko, Vitalii Gurianov, Volodymyr Pankiv, Oleksandr Tovkai, Tetyana Yuzvenko, Violetta Yuzvenko, Andrii Tovkai, Zlatoslava Shaienko, Tetyana Falalyeyeva, Nadiya Skrypnyk, Taras Romaniv, Nadiya Pasyechko, Taras Krytskyy, Solomiia Danyliuk, Andrii Klantsa, Dmytro Krasnienkov, Oleksandr Gurbych, Nazarii Kobyliak

“…Next, the impact of intrinsic and war-related factors on T2D progression was assessed via logistic regression analysis and machine learning tools. …”
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A systematic analysis of the contribution of genetics to multimorbidity and comparisons with primary care dataResearch in context by Olivia Murrin, Ninon Mounier, Bethany Voller, Linus Tata, Carlos Gallego-Moll, Albert Roso-Llorach, Lucía A. Carrasco-Ribelles, Chris Fox, Louise M. Allan, Ruby M. Woodward, Xiaoran Liang, Jose M. Valderas, Sara M. Khalid, Frank Dudbridge, Sally E. Lamb, Mary Mancini, Leon Farmer, Kate Boddy, Jack Bowden, David Melzer, Timothy M. Frayling, Jane A.H. Masoli, Luke C. Pilling, Concepción Violán, João Delgado

“…Methods: We defined chronic, common, and heritable conditions in individuals aged ≥65 years, using two large primary-care databases [CPRD (UK) N = 2,425,014 and SIDIAP (Spain) N = 1,053,640], and estimated heritability using the same definitions in UK Biobank (N = 451,197). We used logistic regression to estimate the co-occurrence of pairs of conditions in the primary care data. …”
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Parsing the heterogeneity of depression: a data-driven subgroup derived from cognitive function by Chenyang Xu, Yanbao Tao, Yunhan Lin, Jiahui Zhu, Zhuoran Li, Jiayi Li, Mingqia Wang, Tao Huang, Chuan Shi

“…A linear mixed-effects model, incorporating time and group (with interaction term: time × group) as fixed effects, was used to assess cognitive changes over time. Stepwise logistic regression analysis was conducted to identify risk factors associated with these subgroups.ResultsTwo distinct neurocognitive subgroups were identified: (1) a cognitive-impaired subgroup with global impairment across all domains assessed by the C-BCT, and (2) a cognitive-preserved subgroup, exhibited intact cognitive function, with performance well within the healthy range. …”
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Clonal hematopoiesis of indeterminate potential is a risk factor of gastric cancer: A Prospective Cohort in UK Biobank study by Zhihui Xi, Huolun Feng, Kunling Chen, Xin Guo, Dandan Zhu, Jiabin Zheng, Yong Li

“…Main outcomes and measures: Odds ratio (OR) of CHIP with gastric cancer risk was estimated using multivariable logistic regression models. Participants were grouped based on age and CHIP status to examine if there are differences in the cumulative incidence of gastric cancer. …”
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Tobacco control environment: cross-sectional survey of policy implementation, social unacceptability, knowledge of tobacco health harms and relationship to quit ratio in 17 low-inc... by Annika Rosengren, Li Wei, Khalid Yusoff, Martin McKee, Clara K Chow, Rajeev Gupta, Koon Teo, Sumathy Rangarajan, Patricio Lopez-Jaramillo, Rafael Diaz, Alvaro Avezum, Fernando Lanas, Noorhassim Ismail, Romaina Iqbal, Jephat Chifamba, Gilles Dagenais, Salim Yusuf, Anna B Gilmore, Scott Lear, Wang Yang, Omar Rahman, Katarzyna Zatonska, Prem Mony, Rajesh Kumar, Afzalhussein Yusufali, Daniel J Corsi, Ehimario Igumbor, V Mohan, Annamarie Kruger, Krishnapillai Vijayakumar, Yuksel Altuntas, Ahmad Bahonar

“…Objectives This study examines in a cross-sectional study ‘the tobacco control environment’ including tobacco policy implementation and its association with quit ratio.Setting 545 communities from 17 high-income, upper-middle, low-middle and low-income countries (HIC, UMIC, LMIC, LIC) involved in the Environmental Profile of a Community's Health (EPOCH) study from 2009 to 2014.Participants Community audits and surveys of adults (35–70 years, n=12 953).Primary and secondary outcome measures Summary scores of tobacco policy implementation (cost and availability of cigarettes, tobacco advertising, antismoking signage), social unacceptability and knowledge were associated with quit ratios (former vs ever smokers) using multilevel logistic regression models.Results Average tobacco control policy score was greater in communities from HIC. …”
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Association Between Urinary Metal Levels and Chronic Kidney Dysfunction in Rural China: A Study on Sex-Specific Differences by Kaisheng Teng, Qinyi Guan, Qiumei Liu, Xiaoting Mo, Lei Luo, Jiahui Rong, Tiantian Zhang, Wenjia Jin, Linhai Zhao, Songju Wu, Zhiyong Zhang, Jian Qin

“…Then, we used binary logistic regression, along with restricted cubic spline (RCS) models, to assess the individual exposure effects of specific metals on CKD. …”
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High-resolution 4D electrical resistivity tomography and below-ground point sensor monitoring of High Arctic deglaciated sediments capture zero-curtain effects, freeze–thaw transit... by M. O. Cimpoiasu, O. Kuras, H. Harrison, P. B. Wilkinson, P. Meldrum, J. E. Chambers, D. Liljestrand, C. Oroza, S. K. Schmidt, P. Sommers, L. Vimercati, T. P. Irons, Z. Lyu, A. Solon, J. A. Bradley, J. A. Bradley

“…However, harsh weather and logistical constraints limit opportunities to directly observe subsurface processes year-round; hence automated and uninterrupted strategies of monitoring the coupled heat and water movement in soils are essential. …”
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Risk factors and renal outcomes of AKI in children with secondary steroid-resistant nephrotic syndrome by Nannan Yu, XiaoJun Ouyang, Jie Li, Jie Gao, Shuhan Zeng, Hongjie Zhuang, Mengjie Jiang, Yuxin Pei, Xiaoyun Jiang

“…Uric acid level is 446.0 (340.0, 567.0) umol/L with AKI and 401.0 (303.0, 496.0) umol/L. 24-h urinary protein level is 4.14 (2.9, 6.5) g with AKI and 2.5 (1.3, 5.3) without AKI. Multivariate logistic regression revealed that infection (OR = 5.287; 95% confidence interval, 2.349 to 11.899; p < 0.001), age at onset (OR = 1.180; 95% confidence interval, 1.032 to 1.349; p = 0.015) and uric acid level (OR = 1.003; 95% confidence interval, 1.000 to 1.006; p = 0.031) were significantly associated with the development of AKI in children with secondary SRNS. …”
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Harmful newborn cord care practices and associated factors among mothers who gave birth in the last six months in Chencha town, Southern Ethiopia: a mixed-methods study by Misgana Seifu, Sultan Hassen, Mekdim Kassa, Yosef Haile, Zeleke Girma, Temesgen Mohammed Toma, Agune Ashole, Mintesinot Melka Gujo, Wondimagegn Taye Dema, Aleme Mekuriya, Endashaw Shibru

“…The collected data was coded, cleaned, and entered into Epi-info version 7.2.5.0, and analyzed using SPSS version 26. Binary logistic regression analysis was used to identify associated factors, and the strength of association was measured by odds ratios with a 95% confidence interval at a p-value of &lt;0.05. …”
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Characteristics of adherent and non-adherent patients with hypertension in a Norwegian cross-sectional study by Eirik Olsen, Lene V. Halvorsen, Stine Rognstad, Arleen Aune, Karl Marius Brobak, Ola Undrum Bergland, Vibeke N. Kjær, Knut Liestøl, Marit D. Solbu, Rune Mo, Eva Gerdts, Morten Rostrup, Sverre E. Kjeldsen, Aud Høieggen, Mimi S. Opdal, Anne Cecilie K. Larstorp, Camilla L. Søraas

“…Factors associated with non-adherence in logistic regression analysis were age, number of antihypertensive pills, non-European ethnicity, and inversely the use of angiotensin receptor blockers. …”
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Polo-like Kinase 1 Expression as a Biomarker in Colorectal Cancer: A Retrospective Two-Center Study by Lana Jajac Brucic, Vesna Bisof, Majana Soce, Marko Skelin, Ivan Krecak, Andjela Nadinic, Branka Vrbicic, Zivana Puljiz, Suzana Hancic, Slavko Gasparov

“…Patients with low PLK-1 expression were older than patients with high PLK-1 expression (64 (49–71) years vs. 49 (42–67) years, <i>p</i> = 0.016). Multiple logistic regression confirmed that age is a significant predictor of PLK-1 expression, independent of the covariates (<i>p</i> = 0.036). …”
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Exploratory profiling of metabolites in cerebrospinal fluid using a commercially available targeted LC-MS based metabolomics kit to discriminate leptomeningeal metastasis by Soojin Jang, Ho-Shin Gwak, Kyue-Yim Lee, Jun Hwa Lee, Kyung-Hee Kim, Jong Heon Kim, Jong Bae Park, Sang Hoon Shin, Heon Yoo, Yun-Sik Dho, Kyu-Chang Wang, Byong Chul Yoo

“…Metabolites detected in > 90% of samples or showing a difference in proportional level between groups ≥ 75% were used in logistic regression models when there was no single metabolite with AUC = 1 for the groups of comparison. …”
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Predictive factors of fibrotic interstitial lung abnormality on high-resolution computed tomography scans: a prospective observational study by Kazuya Ichikado, Hidenori Ichiyasu, Kazuhiro Iyonaga, Kodai Kawamura, Yuko Yasuda, Keisuke Anan, Hiroko Okabayashi, Kimitaka Akaike, Noritaka Higashi, Takeshi Johkoh, Kiminori Fujimoto, Tetsuo Saito, Jun Morinaga, Minoru Yoshida, Katsuhiko Mitsuzaki, Takuro Sakagami

“…Univariate or multivariate logistic regression analyses were performed to analyse the relationship between fibrotic interstitial lung abnormalities and other clinical factors. …”
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Predictors of specialist care referrals (SCR) following emergency department review or hospital admission in adults with previous acute COVID-19: a prospective UK cohort study by Anita Saigal, Songyuan Xiao, Owais Siddique, Prasheena Naran, Heba M Bintalib, Camila Nagoda Niklewicz, George Seligmann, Sindhu Bhaarrati Naidu, Amar J Shah, Chibueze Ogbonnaya, John R Hurst, Marc Ci Lipman, Swapna Mandal

“…Participants had either confirmed laboratory-positive SARS-CoV-2 infection or clinically suspected acute COVID-19 and were offered post-COVID clinical follow-up at approximately six weeks after their ED attendance or inpatient discharge, to assess ongoing symptoms and support recovery. Multiple logistic regression determined associations with specialist care referrals (SCR) to respiratory, cardiology, physiotherapy (including chest physiotherapy), and mental health services. …”
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Leveraging machine learning to uncover multi-pathogen infection dynamics across co-distributed frog families by Daniele L. F. Wiley, Kadie N. Omlor, Ariadna S. Torres López, Celina M. Eberle, Anna E. Savage, Matthew S. Atkinson, Lisa N. Barrow

“…Furthermore, sampling across broad taxonomic and geographic scales to evaluate these factors poses logistical challenges, and interpreting the roles of multiple potentially correlated variables is difficult with traditional statistical approaches. …”
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Cesarean section in Suriname using robson classification: a two-year nationwide cross-sectional study on rates, risk factors and perinatal outcomes of cesarean section by Zita D. Prüst, Josephine A. I. Dupont, Safir Liesdek, Kitty W. M. Bloemenkamp, Thomas van den Akker, Kim J. C. Verschueren, Lachmi R. Kodan

“…We used multivariate logistic regression analysis to assess maternal and perinatal characteristics associated with CS. …”
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Faktor Risiko Terjadinya Ulkus Diabetikum pada Pasien Diabetes Mellitus yang Dirawat Jalan dan Inap di RSUP Dr. M. Djamil dan RSI Ibnu Sina Padang by Rizky Loviana Roza, Rudy Afriant, Zulkarnain Edward

“…Meanwhile, the results of multiple logistic regression statistical tests that the old DM, neuropathy, PAD, history of trauma, and foot care a risk factor for diabetic ulcers. …”
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An Easy and Quick Risk-Stratified Early Forewarning Model for Septic Shock in the Intensive Care Unit: Development, Validation, and Interpretation Study by Guanghao Liu, Shixiang Zheng, Jun He, Zi-Mei Zhang, Ruoqiong Wu, Yingying Yu, Hao Fu, Li Han, Haibo Zhu, Yichang Xu, Huaguo Shao, Haidan Yan, Ting Chen, Xiaopei Shen

“…We developed a simplified risk-stratified early forewarning model for SS based on the weight of evidence and logistic regression, which was compared with multi-feature complex models, and clinical characteristics among risk groups were evaluated. …”
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Genome-Wide Profiling of Human Papillomavirus DNA Integration into Human Genome and Its Influence on PD-L1 Expression in Chinese Uygur Cervical Cancer Women by Feng Yang-chun, Wang Sen-yu, Zhang Yuan, Huang Yan-chun

“…The positive PD-L1 rate was 62.5%. Logistic regression analysis showed that 9p24.1 existing integration sites and the number of all gene integration were risk factors for PD-L1 expression (odds ratio 17.313 and 1.012; 95% confidence interval 1.691-177.213 and 1.001-1.023). …”
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Le mouvement étudiant et la question des langues en Algérie (1962-1965) : à propos d’un épisode méconnu de l’histoire de l’UGEMA-UNEA by Yassine Temlali

“…In return, its organic autonomy was generally tolerated by the FLN, and it received subsidies and logistical support.The burial of proposals in favour of Berber languages at the Fifth Congress of the UGEMA would also carry the mark of the alliance of the communists with Ahmed Ben Bella. …”
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