From vulnerability to viability: Climate-Smart agriculture as drivers of productivity and food security in Nigerian maize-based farming households by Adetomiwa Kolapo, Stefan Sieber

“…Data on CSA adoption, productivity, and food security (Household Dietary Diversity Score (HDDS), Household Food Insecurity Access Scale (HFIAS) score, and Household Food Insecurity Access Prevalence (HFIAP) were collected via structured questionnaires and analyzed using descriptive statistics, Multinomial Endogenous Switching Regression (MESRM), Tobit regression, and Propensity Score Matching (PSM). …”
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Clinical characteristics and prognosis of non-typhoidal Salmonella bacteremia in children vs. adults: a retrospective study by Jianwei Su, Wanping Zhong, Baofang Liang, Yanhong Wang

“…The clinical and relevant laboratory data of patients between adult and pediatric groups were compared, and the risk factors predicting the duration of antibiotic treatment were analyzed by multivariate logistic regression.ResultsIn total, 52 patients with NTS bloodstream infection met the eligibility criteria, with 28 (53.8%) being children vs. 24 (46.2%) adults. …”
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Maternal red blood cell folate and vitamin B metabolism with pregnancy outcomes: a retrospective study by Limin Peng, Yan Gao, Chengkun Yuan, Hongying Kuang

“…Vitamin B markers during pregnancy, including red blood cell (RBC) and plasma levels of folate (5MTHF), Vitamin B2 (VB2), and Vitamin B6 (VB6), as well as methylmalonic acid (MMA) and homocysteine (HCY), were analyzed. LASSO regression was used for feature selection, followed by logistic regression to develop a predictive model. …”
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Low thoracic skeletal mass index, a novel marker to predict recurrence of aspiration pneumonia in the elderly stroke patients. by Bo Mi Gil, Sun Im, Yu Jin Hong, Hye Seon Kang

“…<h4>Purpose</h4>We investigated whether thoracic skeletal muscle mass index at the diagnosis of aspiration pneumonia (AP) is a predictor for AP recurrence and explored predicting factors for AP recurrence in patients with stroke.…”
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Knowledge of self-management and asthma control among asthma patients attending a polyclinic in Western part of Singapore by Joanne H. Khor, Anna Szücs, Lay Hoon Goh

“…Participants completed the questionnaire in the clinic waiting area and returned them into a sealed box in the same area. Data were analyzed using SPSS version 29.0. Summary statistics were used to describe the study sample; t-test or analysis of variance (ANOVA), as appropriate, tested the differences in self-management knowledge by sociodemographic characteristics. …”
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Linking physical aspects to interpersonal competence in Filipino young adults by Aries Pasno

“…Participants completed an online survey using three validated instruments: the Interpersonal Competence Questionnaire-15 (ICQ-15), the International Physical Activity Questionnaire (IPAQ), and the Self-Perception of Physical Fitness Scale. Data were analyzed using multiple linear regression in SPSS version 30. …”
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Is adults’ borderline personality disorder associated with their attachment experiences, rejection and mental security? A cross-sectional study by Mojdeh Askari, Mohammad Ali Zakeri, Alaa Hamza Hermis, Xiao Xu, Sri Widowati, Reza Mohammadmehr

“…The instruments used in this study included the demographic characteristics form, the Rejection Sensitivity Perception Scale (RSPS), the Revised Adult Attachment Scale (RAAS), the Maslow’s Psychological Security scale and the Borderline Personality Inventory (BPI). Data were analyzed using SPSS version 22, employing Pearson correlation and regression analysis methods. …”
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Comparative efficacy of closed reduction versus open reduction with pelvic osteotomy for developmental dysplasia of the hip in children aged 18-24 months: A retrospective cohort st... by Qian Sun, Wenquan Cai, Guoxin Nan

“…After using multiple linear regression and logistic regression to control confounding factors, we came to the same outcome. …”
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The dual impact of physical exercise on depression and fall risk in older Chinese adults — evidence from CHARLS 2020 by Wenhui Yuan, Jinghang Cui

“…This study investigates the interrelationships among physical exercise, depression, and fall risk using data from the 2020 wave of the China Health and Retirement Longitudinal Study (CHARLS).MethodsWe analyzed a sample of 3,694 older adults. An ordinary least squares regression model was employed to assess the impact of physical exercise on depression, while a logistic regression model was used to examine the effect on fall risk. …”
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Depression, stress and anxiety among Khartoum University students who stay in war-afflicted regions in Sudan 2024 by Hajar Saad Salih, Shahd Ahmed Ibrahim, Mawahib Ahmed A. Gaded, Leena Abdo Abdurahman Osman, Maab FadlAllah Mahmoud, Mohamed H. Elbadawi, Group of collaborators

“…Data was collected using a valid questionnaire in a period of one month and analyzed using SPSS and a regression model to assess factors affecting distress. …”
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National Trends in Radiation Treatment for Small Cell Lung Cancer Brain Metastases in the Modern Era by Jay Desai, BA, Sujay Rajkumar, BS, Matthew J. Shepard, MD, Rodney E. Wegner, MD

“…Statistical analyses, including logistic regression, Kaplan–Meier survival analysis, and Cox regression, were performed to identify predictors of treatment type and survival outcomes. …”
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Relationship between Perceived Stress and Psychological Capital in Nursing and Midwifery Students in Ahvaz, Iran during the COVID-19 pandemic by Shaghayegh Salehi, Negar Leylatan, Mehrnaz Ahmadi

“…The data were collected from May to July 2022 online using a demographic checklist, Cohen’s Perceived Stress Scale 14-item, and Luthans’s Psychological Capital Questionnaire. Data were analyzed using independent t-test, one-way ANOVA, Pearson’s correlation test, and multiple linear regression analysis in SPSS software, version 22. …”
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Temporal Variation and Spatial Heterogeneity in Boarding/Alighting Patterns at Urban Railway Stations: Implications for Estimating Optimal Construction Scale—A Case Study in Seoul,... by WooKeol Cho, Kyoungtae Kim, Inmook Lee, Soyoung (Iris) You

“…Initially, the factors influencing the peak-hour concentration rates in railway stations were identified using a linear regression model. …”
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Disulfidptosis-related immune patterns predict prognosis and characterize the tumor microenvironment in oral squamous cell carcinoma by Xuechen Wu, Boxin Liu, Shi-Zhou Deng, Tengteng Xiong, Lin Dai, Bo Cheng

“…After univariate Cox regression we obtained 30 DRIGs and least absolute shrinkage and selection operator (LASSO) regression to reduce the number of genes to 16. …”
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The Role of Green Products and Brand Experience in the Decision to Use Grab Services in Medan City by Elisabeth Nainggolan, Sri Rezeki, Afrizal Loebis, Kelvin Lie

“…The data obtained was analyzed using multiple linear regression to test the influence of independent variables (Green Product and Brand Experience) on dependent variables (User Decisions). …”
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Systemic Immune-Inflammation Index: A Promising, Non-Invasive Biomarker for Crohn&rsquo;s Disease Activity and Severity Assessment by Deng Y, Fu T, Gao D, Zhou J, Nie X, Wang F, Yu Q

“…The least absolute shrinkage and selection operator (LASSO) regression and multivariate logistic regression identified independent prognostic factors to construct nomograms. …”
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Translation, adaptation, and validation of the Care Coordination Instrument for cancer patients by Anne Werner, Anke Steckelberg, Alexandra Strobel, Andreas Wienke, Heike Schmidt, Dirk Vordermark, Patrick Michl, C. Benedikt Westphalen, Julia Lühnen

“…Validation was conducted in three phases (mixed methods): (I) translation; (II) adaptation: pilot testing and revision in an iterative process using semi-structured, cognitive interviews with patients and professionals (physicians specializing in cancer), with interviews transcribed and qualitatively analyzed by inductive coding; and (III) validation: quantitative validation performed online (LimeSurvey), of at least 80 German patients, each with common cancer (breast, prostate) and rare cancer (different entities), with examination of factor structure (factor analysis) and determination of internal consistency (Cronbach's α) as well as potential influencing factors such as gender, education, or migration background (multivariable regression). …”
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Development and validation of a BMI stratified mortality prediction model for patients with COPD complicated by HF using the MIMIC-IV database by Jingwen Zhu, Yifan Wang, Shaoqiang Wang, Jihong Zhou

“…Univariate Cox regression analysis and multivariate Cox regression analysis were used to determine the risk factors for mortality in patients with different BMIs and to construct a prediction model. …”
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Mechanical assessment for enhancing hybrid composite performance through silane treatment using RSM and ANN by S. Jothi Arunachalam, R. Saravanan, T. Sathish, Jayant Giri, Mohammad Kanan

“…Additionally, the ANN was used to analyze multiple factors, revealing a strong correlation between predicted and observed results. …”
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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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