Impact of lifestyle behaviors on the development of lifestyle diseases: A retrospective cohort study. by Takafumi Okawa, Hikaru Negishi, Yuki Aoki, Mitsuo Uchida, Yumi Sato, Mai Ishikawa, Rie Matsui, Kaori Hotta, Takayuki Saitoh

“…<h4>Methods</h4>We administrated the data of 924,932 individuals insured under Gunma Prefecture's National Health Insurance who underwent specific health checkups between 2011 and 2016. A logistic regression analysis was conducted to assess the association between the responses to 10 lifestyle questions and the future onset of lifestyle diseases.…”
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A avaliação da lei complementar nº 233/2005 em relação a exploração sustentável das florestas em Mato Grosso: sua eficácia nas políticas ambientais no brasil by Alessandra Maria Filippin dos Passos Santos, Aumeri Carlos Bampi, Wylmor Constantino Tives Dalfovo

“…To analyze the behavior of deforestation in relation to the independent variables, a multiple linear regression model was used. …”
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The evaluation of depression, anxiety, and stress among undergraduate dental students in graduation year in Mainland China: a cross-sectional study by Ying Fang, Mingya Yang, Wenyan Huang, Yijing Zhang, Xuguang Gao, Yijing Chen, Si Meng, Sujuan Zeng

“…The mental problem was found related to gender (p < 0.01), school levels (p < 0.001), and regions (p = 0.001). Regression analysis identified several factors correlating with DASS-21 scores, with concerns about physical appearance being particularly prominent among students. …”
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Is the longstanding local rice cultivar “X-Jigna” being replaced by the improved variety “Shaga” in fogera plain, Northwest Ethiopia? by Adane Melak Beyene, Ayele Tesfahun Gashu, Misganaw Anteneh Tegegne, Atrsaw Anteneh Mihertie

“…Based on the results of logistic regression analysis, age, educational background, and experience in rice cultivation of household heads, land-owned size, and road and credit access significantly influence adoption decisions. …”
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Prevalence of periodontitis based on retrospective radiographic evaluation at dental hospital in Eastern Province of Saudi Arabia: A retrospective study by Afsheen Tabassum, Marwa Madi, Ahmed Alabdulaziz, Yousif Al Nasrallah, Mohammed Alabdulaziz, Intisar Ahmad Siddique, Farhat Kazmi

“…A comparison of multivariate mean bone loss was performed using a t-test. Logistic regression analysis was used to evaluate the predictors of periodontitis. …”
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Elevated effluent lactate independently predicts the adverse outcomes of peritoneal dialysis associated peritonitis by Xiao Yu, Jingyuan Wang, Changna Liang, Zhao Li, Wanhong Lu, Jing Lv, Ying Ma

“…We used logistic regressions and receiver operating characteristic curve (ROC) analysis to assess factors linked to outcomes and the lactate level predictive accuracy for PDAP adverse outcomes, respectively. …”
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Healthy dietary patterns, biological aging, and kidney stones: evidence from NHANES 2007–2018 by Chengcheng Wei, Qian Yang, Qian Yang, Jingke He, Yu Luo, Kun Han, Junkun Li, Shuai Su, Shuai Su, Jindong Zhang, Hongxing Wang, Hongxing Wang, Delin Wang

“…Machine learning with Shapley Additive Explanations (SHAP) was used to determine the relative importance of dietary factors. Sensitivity analysis was conducted to validate the stability of the results.ResultsA higher healthy dietary score was significantly associated with a reduced risk of kidney stone prevalence, as indicated by the Alternative Healthy Eating Index (AHEI) (OR = 0.76, 95% CI 0.69–0.84), the Dietary Approaches to Stop Hypertension Index (DASHI) (OR = 0.67, 95% CI 0.58–0.77), the Healthy Eating Index 2020 (HEI-2020) (OR = 0.80, 95% CI 0.72–0.89), and the Mediterranean Diet Index (MEDI) (OR = 0.81, 95% CI 0.73–0.89). …”
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Production Elasticity of Layer Farming During the COVID-19 Pandemic in Blitar District by Gunawan Adi Santoso, Budi Hartono, Umi Wisaptiningsih Suwandi

“…The research variables used in this study were the population of laying hens, the price of chicken eggs, feed costs, vaccines and medicines expenses, seed prices, mortality, electricity costs, the price of culled chickens, Hen Day Production (HDP) and the number of workers. Quantitative analysis was employed to analyze production costs, revenues, and income, while qualitative analysis was used to analyze production elasticity through Cobb-Douglas regression analysis. …”
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How Financial Distress, Audit Committee, and CGI Shape Earnings Management through Stock Liquidity by Mardianto Mardianto, Novita Novita

“…The goal of this research is to explore ways to reduce earnings management practices by analyzing how these factors influence managerial behavior. …”
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DETERMINANTS OF HUMAN RESOURCE MANAGEMENT (HRM) ADOPTION AMONG SMALL AND MEDIUM SCALE ENTERPRISES (SMEs) IN KADUNA STATE, NIGERIA by Helen Afang Andow

“…The study adopted survey research design and data was gathered from purposively selected 100 SMEs respondents through copies of structured questionnaires in selected local government areas of the state. Multiple Regression Analysis was used to analyze the data obtained. …”
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Early Prediction Detection of Retail and Corporate Credit Risks Using Machine Learning Algorithms by Mohamed A. Hamada, Karim Farag, Adejor E. Abiche

“…Consequently, the paper aims to utilize machine learning algorithms, regression analysis, and classification models to identify the most effective predictive model that can improve banks' credit risk prediction capabilities. …”
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Inspection Data-Driven Machine Learning Models for Predicting the Remaining Service Life of Deteriorating Bridge Decks by Gitae Roh, Changsu Shim, Hyunhye Song

“…In a bid to address this lack, this study focuses on PSC-I type bridges in South Korea, utilizing long-term field inspection data to analyze environmental, structural, and material factors—including reinforcement corrosion, chloride diffusion, and freeze–thaw actions. …”
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Effect of deterioration of swallowing functions on the frailty status in older adults: a longitudinal cohort study by En-Chih Weng, Yoko Hasegawa, Tasuku Yoshimoto, Ma. Therese Sta. Maria, Koutatsu Nagai, Naoko Sato, Kana Tokumoto, Kazuhiro Hori, Hiroshi Kusunoki, Hiromitsu Kishimoto, Ken Shinmura

“…In contrast, logistic regression analysis of frailty progression showed that impaired swallowing function was a significant explanatory variable (OR, 1.53; 95% CI: 1.04–2.21). …”
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The relationship between parental health literacy and primary school students’ anthropometric measurements and general health status by Elif Uner Asil, Ozcan Aygun, Alime Duman, Nazli Gungor

“…Chi-square test and binary logistic regression analysis were used to analyze the data. Results Parental health literacy was found to be adequate. …”
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Association between the dietary index for gut microbiota and constipation in American adults by Chunyan Song, Zhulin Zhang, Shanxiang Zhu, Huacheng Tong

“…Multivariate weighted logistic regression, adjusted for confounders, was performed to analyze the association between DI-GM scores and constipation prevalence.Further analyses included a subgroup analysis and restricted cubic splines to explore this association [restricted cubic spline(RCS)].An increased DI-GM index, indicating a healthier gut microbiome, was related to a decreased risk of constipation.A similar association was observed with a more favorable score for beneficial gut microbiota.Non-linear associations between DI-GM scores and constipation were identified through RCS analysis.Subgroup and interaction analyses confirmed the consistency of these findings across strata, suggesting no significant heterogeneity.These findings suggest that dietary adjustments may be an important method for preventing constipation.…”
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The characteristics of new-onset myasthenia gravis after COVID-19 outbreak: a cross-sectional study by Yanzhen Huang, Yu Wu, Shaodan Zhou, Xianting Que, Ailing Jiang, Danli Shi, Ting Lu, Yanlan Chen, Ziqun Lin, Chao Liu, Yishuang Wen, Shuyi Zhang, Wen Huang

“…This study aimed to explore the clinical characteristics of new-onset MG patients after COVID-19 and analyze factors affecting their disease improvement. …”
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Construction and Validation of a Hospital Mortality Risk Model for Advanced Elderly Patients with Heart Failure Based on Machine Learning by Shang S, Wei M, Lv H, Liang X, Lu Y, Tang B

“…The Shapley Additive Explanations (SHAP) values were used to analyze the impact of key variables on the model prediction results.Results: A total of seven variables significantly associated with death were selected by LASSO regression and Boruta feature selection, including white blood cell count (WBC), neutrophil percentage (Neut %), C-reactive protein (CRP), D-dimer, glycated serum protein (GSP), N-terminal pro-B-type natriuretic peptide (NT-ProBNP), and body mass index (BMI). …”
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Diagnostic value of NLR and PLR for peritoneal dialysis-related infection by FANG Wei-wei, LIU Gui-ling, LI Qing-gen, ZHAO Wen-man, CHEN Xiao-li, LI Dan-dan

“…Univariate Logistic regression analysis showed, low serum albumin(OR=0.808,95% CI 0.748～0.874, P<0.001), low blood magnesium(OR=0.001,95% CI 0.000～0.015, P<0.001), low blood phosphorus(OR=0.324,95% CI 0.165～0.635, P=0.001), high hs-CRP(OR=1.246,95% CI 1.149～1.351, P<0.001), and high NLR(OR=1.570, 95% CI 1.315～1.815, P<0.001) and high PLR(OR=1.010,95% CI 1.006～1.014, P<0.001) were risk factors for PD related infection. …”
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Impact of pelvic lymph node dissection on survival outcomes in non-muscle invasive bladder cancer: a multicenter retrospective study by Shiwang Huang, Kaipeng Jia, Jingmin Cui, Jianfei Duan, Xiaosong Li, Wang Chai, Chong Shen, Zhe Zhang, Huitong Chen, Shan Liang, Jingwen Han, Jianing Guo, Zhouliang Wu, Yunkai Qie, Hailong Hu

“…Survival outcomes, including cancer-specific survival (CSS) and recurrence-free survival (RFS), were compared using Kaplan-Meier analysis and Cox proportional hazards models, while factors associated with upstaging were examined through logistic regression. …”
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Maize Plant Morphology Affects Resistance to Stalk Breaking by Affecting Plant Stress by Yujie Cao, Ming Tian, Shang Gao, Bo Ming, Keru Wang, Haibing Yu, Shaokun Li, Jun Xue

“…Maize lodging resistance is determined by the plant’s wind-induced stress and the stalk’s mechanical strength, yet the factors influencing plant stress remain unclear. This study analyzed the quantitative relationship between plant leaf area, weight, and stalk base torque by implementing different leaf-cutting and ear-removal treatments. …”
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