Decreased Sex Hormone-Binding Globulin Indicated Worse Biometric, Lipid, Liver, and Renal Function Parameters in Women with Polycystic Ovary Syndrome by Xi Luo, Xin-Ming Yang, Wang-Yu Cai, Hui Chang, Hong-Li Ma, Yan Peng, Xiao-Ke Wu

“…An independent t-test and linear regression were performed to investigate the associations between SHBG and metabolic parameters. Logistic regression was used to detect the relationship between SHBG and the presence of metabolic syndrome. …”
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Depressive symptoms and its influencing factors of older people with cataracts in China: a national cross-sectional survey by Tengfei Niu, Shiwei Cao, Xiaoyu Wang, Xiaobing Xian, Chunyang Luo, Jingxi Ma

“…The chi-square test was used to compare differences between subjects with different demographic characteristics. Binary logistic regression was used to analyze the factors that influenced the depressive symptoms of cataract patients. …”
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Association of sleep duration with overweight and obesity among school-aged children and adolescents in Pakistan—An empirical cross-sectional study by Moazzam Tanveer, Alexios Batrakoulis, Ejaz Asghar, Andreas Hohmann, Serge Brand, Matheus S. de Sousa Fernandes, Luca P. Ardigò, Georgian Badicu

“…Statistical analyses included Chi-square tests, Pearson correlation coefficients, and logistic regressions. Results: The study analyzed the prevalence and associations of sleep duration with body weight status among Pakistani school-aged children and adolescents. …”
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Prevalence and risk factors of gestational diabetes mellitus among pregnant women in northern Vietnam: a cross-sectional study by Hieu Minh Le, Thi Ai Nguyen, Dang Kien Nguyen, Ditte Søndergaard Linde, Ib Christian Bygbjerg, Jens Søndergaard, Thanh Duc Nguyen, Bay Quang Nguyen, Ngoc-Anh Thi Dang, Xuan Bai Nguyen, Dan W. Meyrowitsch, Christina A. Vinter, Tine M. Gammeltoft, Vibeke Rasch

“…GDM was diagnosed according to the World Health Organization 2013 criteria. Logistic regression analyses were used to assess the factors associated with GDM. …”
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Cesarean delivery in Nigeria: prevalence and associated factors―a population-based cross-sectional study by Asa Auta, Emmanuel O Adewuyi, Vishnu Khanal, Samson J Tapshak, Yun Zhao

“…We carried out frequency tabulation, χ2 test, simple logistic regression and multivariable binary logistic regression analyses to achieve the study objective.Setting Nigeria.Participants A total of 31 171 most recent live deliveries for women aged 15–49 years (mother–child pair) in the 5 years preceding the 2013 NDHS was included in this study.Outcome measure Caesarean mode of delivery.Results The prevalence of caesarean section (CS) was 2.1% (95% CI 1.8 to 2.3) in Nigeria. …”
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Achieving prediabetes reversal in China: a nationwide longitudinal study on the role of blood glucose and lipid management in middle-aged and elderly adults by Hongguang Yang, Yao Liu, Zhenhe Huang, Guifang Deng

“…We employed a stepwise logistic regression model to identify factors associated with the regression to NGR. …”
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Association between cardiovascular health and metabolic dysfunction-associated steatotic liver disease: a nationwide cross-sectional study by Lian-Zhen Huang, Ze-Bin Ni, Wei-Feng Huang, Li-Ping Sheng, Yan-Qing Wang, Jin-Yan Zhang

“…Life’s essential 8 (LE8) was applied to assess CVH. Weighted binary logistic regression was employed to calculate the odds ratio (OR) and 95% confidence interval (CI) to investigate the association of CVH with MASLD. …”
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Relationship between Lower Urinary Tract Dysfunction and Clinical Features in Chinese Parkinson’s Disease Patients by Duo Xu, Shunchang Han, Jue Wang, Juan Feng

“…The patients were classified based on their overactive bladder symptom score (OABSS) and then assigned to either a PD with overactive bladder (PD-OAB) group or a PD with no overactive bladder (PD-NOAB) group. A binary logistic regression analysis was performed to identify the accompanying factors for overactive bladder (OAB). …”
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Food needs and health behaviors in the COVID-19 situation: a case study of quarantined communities in densely populated areas of Bangkok, Thailand by Areeya Jirathananuwat, Suteera Saenmontrikul, Arunee Hengyotmark, Krittanan Pensirisomboon

“…Overall, dietary health behaviors were good. Logistic regression analysis revealed that being elderly (AOR = 3.67, 95% CI = 1.63–8.27) and having a moderate to high income level (AOR = 3.93, 95% CI = 2.23–6.94) were positively correlated with food needs. …”
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Deep learning–assisted diagnosis of acute mesenteric ischemia based on CT angiography images by Lei Song, Xuesong Zhang, Jian Zhang, Jie Wu, Jinkai Wang, Feng Wang

“…Clinical data (medical history and laboratory indicators) was included in a multivariate logistic regression analysis to identify the independent factors associated with AMI and establish a clinical factors model. …”
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Association between novel anthropometric indices and overactive bladder: a population-based study by Heng Liu, Huqiang Dong, Mingchu Jin, Yu Zhou, Haidong Hao, Yutang Yuan, Hongtao Jia, Min He

“…To assess the association and discriminative ability of novel anthropometric indices, including the Body Roundness Index (BRI), A Body Shape Index (ABSI), Waist-to-Weight Index (WWI), and Relative Fat Mass (RFM), with OAB, we employed multivariable logistic regression, restricted cubic spline (RCS) analysis, subgroup analysis, and receiver operating characteristic (ROC) curve methods.ResultsMultivariable logistic regression analysis indicated that higher levels of novel anthropometric indices were positively associated with OAB prevalence. …”
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Correlation analysis between epicardial adipose tissue and acute coronary syndrome by Gao Zhihong, Zuo Yuqiang, Jia Linyi, Yin Yuling, Yang Xu, Xu Lei, Hao Zengfang

“…Independent factors influencing ACS were identified using logistic regression analysis, and the predictive ability of each variable was evaluated using receiver operating characteristic (ROC) curves. …”
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The trajectory of changes in cognitive frailty and factors influencing it in elderly patients with cerebral infarction by Shengnan Xu, Qin Liang, Li Zhang, Shihua Liu

“…[Objective] The trajectory of cognitive frailty in elderly patients with cerebral infarction was analyzed, and the influencing factors were discussed. [ Methods] A total of 100 elderly patients with cerebral infarction hospitalized in Suzhou Hospital of Anhui Medical University from January to September in 2023 were selected for the study.Clinical data were collected on the patients, and cognitive frailty was assessed using the Frailty Screening Scale and the Montreal Cognitive Assessment Questionnaire (MoCA) at the time of admission and 1, 3, 6 months after treatment.Failty score ≥3 scores and MoCA <26 scores were defined as cognitive fraily.Potential categories of cognitive frailty change trajectories were identified by latent category growth modeling, and multifactorial logistic regression analyzed the factors influencing patients' cognitive frailty change trajectories. [ Results] The trajectory of cognitive frailty change in elderly patients with cerebral infarction identified by model fitting can be categorized into a group with a persistently low level of frailty (30 cases), a group with a slow rise in frailty (52 cases), and a group with a persistently high level of frailty (18 cases).Multifactorial logistic regression analysis showed that older age, poor sleep quality, and the number of comorbid chronic diseases > 4 were all risk factors for the development of persistent low levels of cognitive frailty into a slow rise in cognitive decline in elderly patients with cerebral infarction (P<0.05), Higher body mass index and high self-care ability were both protective factors for the development of persistent low levels of cognitive decline into a slow rise in cognitive decline in elderly patients with cerebral infarction (P<0.05).Older age, poor sleep quality and the number of comorbid chronic diseases >4 were risk factors for the progression of persistent low levels of cognitive decline to persistent high levels of cognitive decline in elderly patients with cerebral infarction (P < 0.05), and higher self-care ability were protective factors for the progression of persistent low levels of cognitive decline to persistent high levels of cognitive decline in elderly patients with cerebral infarction (P < 0.05). …”
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Goiter and Its Associated Factors among Adolescent High School Girls at Tach Armachiho District, Northwest Ethiopia: An Institution-Based Cross-Sectional Study by Belaynew Mesfin, Bisrat Misganaw, Melkamu Tamir Hunegnaw, Esmael Ali Muhammad

“…Both bivariable and multivariable logistic regressions were used to identify associated factors. …”
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Determinants of Undernutrition among Adult Tuberculosis Patients Receiving Treatment in Public Health Institutions in Shashemane Town, Southern Ethiopia by Adane Tesfaye Anbese, Gudina Egeta, Frehiwot Mesfin, Abinet Arega Sadore

“…Data were entered into EpiData version 3.3 computer software and analyzed using SPSS version 20. Bivariable logistic regression analyses were done to assess the association between outcome variable at bivariate analysis, and multivariable logistic regression model was used to assess factors that were independently associated with undernutrition. …”
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A Novel Risk Score Model for the Differential Diagnosis of Type 2 Diabetic Nephropathy: A Multicenter Study by Yuetong Zhao, Lin Liu, Li Zuo, Xianghai Zhou, Song Wang, Hongwei Gao, Feng Yu, Xiaomei Zhang, Mi Wang, Ling Chen, Rui Zhang, Fang Zhang, Shuhong Bi, Qiong Bai, Jiaxiang Ding, Qinghua Yang, Sixu Xin, Sanbao Chai, Min Chen, Junqing Zhang

“…We used univariate and multivariate logistic regression analyses to identify independent risk factors of DN in the training group and conducted multivariate logistic regression analysis with these independent risk factors in the training group to find regression coefficients “β” to establish a risk score model. …”
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Pretreatment level of circulating tumor cells is associated with lymph node metastasis in papillary thyroid carcinoma patients with ≤ 55 years old by Ming Yu, Jiaqin Deng, Yihua Gu, Yeqian Lai, Yuedong Wang

“…Univariate and multivariate logistic regression analyses were used to evaluate the relationship between the CTCs and CLNM, LLNM. …”
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A sarcopenia prediction model based on the calf maximum muscle circumference measured by ultrasound by An Wei, Yan Zou, Zhen-Hua Tang, Feng Guo, Yan Zhou

“…Independent predictors of sarcopenia were identified by univariate and multivariate logistic regression analyses, and a predictive model was developed and simplified. …”
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Diagnostic potential of CDK1 and STAT1 in acute kidney injury associated with gastrointestinal cancers: a bioinformatics-based study by Qiuwan Wei, Yiqing Shen, Yiren Tian, Yunzhi Ling

“…Univariate and multivariate logistic regression analyses were performed to investigate the influencing factors of AKI occurrence. …”
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Determinants of Mortality in Patients with Nosocomial Acinetobacter baumannii Bacteremia in Southwest China: A Five-Year Case-Control Study by Shuangshuang Yang, Jide Sun, Xianan Wu, Liping Zhang

“…Clinical outcomes and potential determinants of mortality in patients with nosocomial A. baumannii bacteremia and carbapenem-resistant A. baumannii (CRAB) bacteremia were evaluated using Cox and logistic regression analyses. Results. A total of 118 patients with nosocomial A. baumannii bacteremia were included. …”
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