Association of baseline and trajectory of triglyceride-glucose index with the incidence of cardiovascular autonomic neuropathy in type 2 diabetes mellitus by Qiong Huang, Wenbin Nan, Baimei He, Zhenhua Xing, Zhenyu Peng

“…Methods Based on the Action to Control Cardiovascular Risk in Diabetes (ACCORD) trial, multivariate logistic regression models and restricted cubic splines (RCS) were deployed for elucidating the relation between baseline TyG index and the incidence of CAN. …”
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Prolonged ICU Stay in Severe and Critically-Ill COVID-19 Patients Who Received Convalescent Plasma Therapy by Bambang Pujo Semedi, Nadya Noor Ramadhania, Betty Agustina Tambunan, Siprianus Ugroseno Yudho Bintoro, Soedarsono Soedarsono, Cita Rosita Sigit Prakoeswa

“…Data were analyzed using multiple logistic regression to make prediction models of mortality, length of stay, and oxygen support device requirement. …”
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Self-reported reproductive morbidity and healthcare-seeking practices of adolescent girls in migrant Rohingya community in Bangladesh by Rejoana Karim, Rupam Mitra, Md. Hafizul Islam, S.M. Symon Bappy, Khaleda Islam, Md. Mohsin Hossain

“…The respondents were asked to report their menstruation-related problems, morbidities, anemia signs, and healthcare-seeking behavior during these problems. Multivariate logistic regression analyses were performed to assess the association of socio-demographic variables with menstruation-related outcome variables and healthcare-seeking behavior. …”
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The pattern and burden of non-communicable diseases in armed conflict-exposed populations in Northeastern Nigeria by Roland I. Stephen, Jennifer A. Tyndall, Jamiu S. Olumoh, Malachy I. Okeke, Jacob A. Dunga, Tonde G. Elijah, Dillys M. Bello, Oyelola A. Adegboye, Jimmy A. Reyes

“…Multivariable binary logistic regression and complementary log regression were performed to investigate the effects of individual risk factors and regional settings on the prevalence of NCDs. …”
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Like mother like daughter, the role of low human capital in intergenerational cycles of disadvantage: the Pune Maternal Nutrition Study by Akanksha A. Marphatia, Akanksha A. Marphatia, Jonathan C. K. Wells, Alice M. Reid, Aboli Bhalerao, Chittaranjan S. Yajnik

“…Few studies have evaluated whether maternal human and socio-economic capital at conception are independently associated with maternal and offspring outcomes.MethodsUsing data on 651 mother-child dyads from the prospective Pune Maternal Nutrition Study in rural India, composite markers were generated of “maternal human capital” using maternal marriage age and maternal and husband's education, and 'socio-economic capital' using household wealth and caste. Linear and logistic regression models investigated associations of maternal low/mid human capital, relative to high capital, with her own nutrition and offspring size at birth, postnatal growth, education, age at marriage and reproduction, and cardiometabolic risk at 18 years. …”
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An ensemble machine learning-based performance evaluation identifies top In-Silico pathogenicity prediction methods that best classify driver mutations in cancer by Subrata Das, Vatsal Patel, Shouvik Chakravarty, Arnab Ghosh, Anirban Mukhopadhyay, Nidhan K. Biswas

“…Three machine learning algorithms—logistic regression, random forest, and support vector machine—along with recursive feature elimination, were used to rank these PCSAs. …”
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Prediction of difficult mask ventilation in Thai adult patients undergoing elective surgery using ultrasound of distance from skin to hyoid bone, and from skin to thyroid isthmus:... by Santi Anchalee, Kanatawan Wasoontrarak, Pannawit Benjhawaleemas, Sunisa Chatmongkolchart, Sumidtra Prathep

“…The DSTI medians were 0.9(0.8–1.1), 0.8(0.7–1.1), 0.7(0.6–0.9), and 0.8(0.8–1.4) cm for DMV-0, I, II, and III, respectively (p = 0.041). Multivariate logistic regression indicated that the following factors were associated with difficult mask ventilation (DMV-III): male sex, modified Mallampati classification III, edentulousness, DSHB, and DSTI, with an area under the curve of 0.89. …”
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Association between blood test indicators and atrial fibrillation in elderly patients aged 65 and above in the Central Jiangsu region: a cross-sectional study by Hao Liang, Shuai Zhang, Ye Zhu

“…Based on the selected variables, participants were divided into four groups (Q1 ~ Q4), and multifactorial Logistic regression analysis, restricted cubic spline regression, gender subgroup analysis and Receiver Operating Characteristic (ROC) curve were used to explore the relationship between the relevant variables and AF. …”
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The Magnitude of Salt Intake Behaviors and Its Predictors among Saqez Urban Population of Kurdistan District in Iran: A Cross-Sectional Study by Kolsom Khoram, Mohammad Asghari-Jafarabadi, Mehrangiz Ebrahimi-Mamagani, Behjat Shokrvash, Maral Hariri-Akbari

“…Descriptive, analytical statistical methods and multivariate logistic regression analysis were used to determine the predictors of desirable salt control methods. …”
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Trends and distribution patterns of infant mortality and maternal HIV positivity in South Africa: A decade review (2007 - 2016) by M Makhele, N Ledibane, H Ramatsoma, A Musekiwa

“…Line charts with descriptive statistics were used to detail trends in IMRs, and multiple logistic regression models were used to identify risk factors for infant mortality in the 2007 and 2016 CS datasets. …”
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Risk factors and prognosis analysis of dysphagia after occipitocervical fusion surgery: a retrospective study of 43 cases by Yufan Chen, Weihong Xu

“…Potential risk factors were identified via one-way intergroup comparisons and included in multivariable logistic regression analysis. Pearson or Spearman correlation analysis was performed to assess associations between dnPAS% and each parameter and inter-parameter correlations. …”
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The association between age at menarche (AAM) and cardiovascular disease (CVD) risk factors in the MASHAD cohort study by Niloofar Shabani, Sara Saffar Soflaei, Khadijeh Bavafa-Valenlia, Nayereh Esmaeilzadeh, Maryam Mohammadi-Bajgriran, Zahra Namazibaygi, Mohsen Moohebati, Gordon A. Ferns, Habibollah Esmaily, Majid Ghayour-Mobarhan

“…The levels of depression and anxiety were evaluated using a validated Persian version of the Beck Depression Inventory (BDI) and Beck Anxiety Inventory (BAI). Multiple logistic regression models were used to examine the association between age at menarche with CVD risk factors. …”
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HPV vaccine knowledge and willingness to vaccinate among senior primary school students in Guangdong province, 2022: a cross-sectional survey by Li WU, Yongxin LIANG, Zurui ZENG, Tiantian LI, Xiangcai WEI, Jianhong XIA

“…The students′ awareness of HPV, knowledge of HPV vaccination, willingness to receive HPV vaccination, and factors influencing willingness to receive HPV vaccination were analyzed.ResultsFor a total of 1 314 participants with valid responses, the HPV awareness and HPV vaccine knowledge rates were 61.49% and 66.13%, respectively, and the HPV vaccine uptake rate was 74.73%. Multivariate logistic regression analysis showed that participants who were female (odds ratio [OR] = 2.15, 95% confidence interval [95%CI]: 1.60 – 2.80), lived in an urban area (OR = 1.56, 95%CI: 1.20 – 2.02), and from the Pearl River Delta region (OR = 3.64, 95%CI: 2.28 – 5.81) and the northern region of the province (OR = 5.65, 95%CI: 4.00 – 7.97) were more likely to have heard of HPV, and the participants were female (OR = 2.11, 95%CI: 1.60 – 2.78), lived in an urban area (OR = 1.45, 95%CI: 1.11 – 1.89), and from the Pearl River Delta region (OR = 5.20, 95%CI: 3.06 – 8.83) and the northern region of the province (OR = 6.30, 95%CI: 4.39 – 9.06) were more likely to have heard of HPV vaccine; the results also showed that the participants who were female (OR = 7.07, 95%CI: 4.89 – 10.21), had heard of HPV (OR = 1.94, 95%CI: 1.29 – 2.93), and were aware of HPV vaccine (OR = 1.65, 95%CI: 1.07 – 2.55) were more likely to be willing to receive HPV vaccination. …”
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The interaction network and potential clinical effectiveness of dimensional psychopathology phenotyping based on EMR: a Bayesian network approach by Jianqing Qiu, Ting Zhu, Ke Qin, Wei Zhang

“…Through Bayesian network (BN) analysis, we identified relatively consistent interaction relationships among various RDoC domains (NVS → AS, NVS → CS, NVS → PVS, as well as CS → SPS; parameter range = 0.156 to 0.635, p < 0.001). Lastly, using logistic regression and Cox proportional hazards models, we demonstrated that AS was significantly associated with the length of hospital stay (-0.21, p < 0.05) and 30-day readmission risk (adjusted odds ratio [aOR] = 0.91, 95% confidence interval [CI] 0.91–0.99) to some extent. …”
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Determinants of appropriate complementary feeding practices among mothers of children aged 6–23 months in Bokoji town, Oromia region, Ethiopia by Abdurehman Kalu Tololu, Bekele Teshome, Hiwot Zelalem Fessaha, Abdene Weya Kaso

“…Bivariable and multivariable Logistic regression model was used to determine factors associated with appropriate complementary feeding practice. …”
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Inequalities in household overcrowding in an ethnically diverse urban population: a cross-sectional study using linked health and housing records by Marta Wilk, Gill Harper, Silvia Liverani, Nicola Firman, Paul Simon, Carol Dezateux

“…We used multivariable logistic regression to estimate the adjusted odds (aOR) and 95% Confidence Intervals (CI) of bedroom standard overcrowding and linear regression to estimate effects (95% CI) on space per person. …”
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Multilevel analysis of prevalence and determinants of diarrhea among under-five children in Somalia: insights from the Somalia demographic and health survey 2020 by Hamse Arab Ali, Abdulkadir Mohamed Nuh, Hamse Adam Abdi, Abdisalam Hassan Muse

“…Descriptive statistics, chi-square tests, and multilevel logistic regression models were employed to elucidate associations. …”
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Middle Cerebral Artery Pulsatility Index for Prediction of Successful Induction of Labour in Postdated Pregnancy: A Prospective Observational Study by Yashi Nagar, Rekha Bharti, Kajal Baleja, Amita Malik, Divya Pandey, Jyotsna Suri

“…Univariate and multivariate logistic regression was used to assess the predictors of successful labour induction. …”
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Effect of home environment on neuropsychiatric development in preterm infants discharged from NICU at 18 months corrected age by Yuan Tian, Chuncao Zhang, Li Shen, Haifeng Jiang, Feng Liu, Jinjin Chen, Xia Hong

“…The language domain had the highest rate of developmental delay (46.182%), followed by the adaptive domain (37.091%). Multiple logistic regression analyses showed that compared with infants in supportive home environments, infants with moderate/unsupportive home environments had significantly elevated risks of development delay: 2.162-fold for global (odds ratio (OR) 2.162, 95% confidence interval (CI) 1.274 to 3.665, p=0.004), 2.193-fold for fine motor (OR 2.193, 95% CI 1.161 to 4.140, p=0.016), 2.249-fold for language (OR 2.249, 95% CI 1.336 to 3.786, p=0.002) and 2.042-fold for personal-social (OR 2.042, 95% CI 1.149 to 3.628, p=0.015).Conclusions A supportive home environment is a crucial protective factor for the neuropsychological development of preterm infants. …”
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Factors Associated with HIV Testing among Male Students Who Have Engaged in Sexual Behaviour in Zhejiang Province, China by Zhongrong Yang, Hui Wang, Qiaoqin Ma, Weiyong Chen, Xiang Zhao, Tingting Jiang, Wanjun Chen, Xin Zhou, Lin Chen

“…Univariate and multivariate logistic regression analyses were conducted to identify the influencing factors. …”
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