A retrospective study on sex disparities and risk factors in acute ischemic stroke in the West bank of Palestine by Ahmed khraiwesh, Osama Ikhdour, Zainab Alalyat, Basma Damiri, Ahmad Abuhassan, Mohammad Abuawad

“…This study aimed to identify risk factors, subtypes, and associated outcomes of AIS in the West Bank based on sex. …”
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Risk factors for mortality in patients with primary biliary cholangitis: a nomogram to predict 5-year survival by Yaxing Liu, Muyu Gao, Bin Li, Long Liu, Yao Liu, Ying Feng, Xiaojing Wang, Xianbo Wang, Guiqin Zhou

“…Through Cox regression analyses, we identified risk predictors of mortality to develop a 5-year survival nomogram for PBC. …”
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Risk factors for contracting malaria in six wards of Mudzi District, Zimbabwe: A case control-study. by Tichaona Fambirai, Moses J Chimbari, Pisirai Ndarukwa

“…Multivariate logistic regression analysis was conducted to identify independent risk factors for malaria. …”
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Prediction of depressive disorder using machine learning approaches: findings from the NHANES by Thien Vu, Research Dawadi, Masaki Yamamoto, Jie Ting Tay, Naoki Watanabe, Yuki Kuriya, Ai Oya, Phap Ngoc Hoang Tran, Michihiro Araki

“…Abstract Background Depressive disorder, particularly major depressive disorder (MDD), significantly impact individuals and society. Traditional analysis methods often suffer from subjectivity and may not capture complex, non-linear relationships between risk factors. …”
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Prevalence and influencing factors of work-related musculoskeletal disorders in neck and shoulder among power distribution workers by Conghan LIU, Min LI, Chu CHEN, Lei LIU, Xin LU, Ruijian PAN

“…\begin{document}$ {\chi }^{2} $\end{document} test and logistic regression model were used to explore the influencing factors of neck pain and shoulder pain among the subjects.ResultsA total of 1244 valid questionnaires were recovered and the effective recovery rate was 90.87%(1244/1369). …”
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Spatiotemporal Dynamics and Driving Factors of Soil Salinization: A Case Study of the Yutian Oasis, Xinjiang, China by Shiqin Li, Ilyas Nurmemet, Jumeniyaz Seydehmet, Xiaobo Lv, Yilizhati Aili, Xinru Yu

“…In addition, the land use transfer matrix and spatial overlay analysis were employed to comprehensively analyze the spatiotemporal trends of soil salinization. …”
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Prevalence and Factors Associated with Cryptosporidium Infection in Calves in and around Nekemte Town, East Wollega Zone of Ethiopia by Adinew Ebiyo, Geremew Haile

“…Cryptosporidium infection was found in 53 of the 384 calves investigated, with an overall prevalence of 13.8% (95% CI = 8.1–17.6). Logistic regression analysis on the risk factors showed that types of farm, age, body condition scores, fecal consistency, types of feed, source of water, and farm hygiene were found to have a statistically significant influence on the shedding of Cryptosporidium oocysts by the calves (p<0.05). …”
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Efficiency of tray dryer moisture removal: Experimental and AI studies by A. Al-Haddad, T. Kikhavani, Seyyed Hosseini

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Present situation and influencing factors of presenteeism among nurses in China: a cross-sectional multicenter study by Zehua Li, Zongting Luo, Lifang Chen, Lijuan Chen, Yue Chang, Xiaolin Ma, Lan Tao

“…Results The average presenteeism score among Chinese nurses was (17.01 ± 5.10), with 65.5% reporting high levels of presenteeism. Multiple linear regression analysis revealed that department, gender, job-pay matching, and psychological detachment were significant factors influencing nurses’ presenteeism (P < 0.05). …”
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Unimproved source of drinking water and the associated factors: Insights from the 2020 Somalia demographic and health survey. by Abdisalam Mahdi Hassan, Nimo Mohamoud Barakale, Omran Salih, Abdisalam Hassan Muse

“…Multivariable logistic regression analysis was performed using Stata 16 software. …”
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Explanation of factors affecting the sense of place in religious places of Iran (case examples of historical mosques in Tabriz by Lida Akhlaghi, Asadollah Shafizadeh

“…To analyze the quantitative data and measure the relationship between the variables, the Pearson correlation method and the simple and multivariate linear regression statistical tests were used to determine the relationship and intensity. …”
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One Health in Agricultural Sectors in Thailand, Lao PDR, and Vietnam: Interconnectedness Between Awareness and Socioeconomic Factors by Watchara Pechdin, Oulavanh Sinsamphanh, Long Bui-Thanh, Jiraphan Naruepatr, Sorasich Swangsilp, Sorasich Swangsilp, Mahesh Chougule, Ketkesone Phrasisombath, Tien D. N. Ho, Van-Phuc Phan

“…ObjectiveThe study aims to analyze the interconnectedness of farmers’ socioeconomic factors and their awareness of the One Health framework.MethodThis study conducted a survey with 1,166 observations across Thailand, Lao, and Vietnam and employed binary logit regression for data analysis. …”
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The Prediction of Civil Building Energy Consumption Using a Hybrid Model Combining Wavelet Transform with SVR and ELM: A Case Study of Jiangsu Province by Xiangxu Chen, Jinjin Mu, Zihan Shang, Xinnan Gao

“…Through a grey relational analysis (GRA), the key factors influencing the civil building energy consumption are identified. …”
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Risk factors for epithelial ovarian cancer in the female population of Belgrade, Serbia: A case-control study by Gazibara Tatjana, Filipović Aleksandra, Kesić Vesna, Kisić-Tepavčević Darija, Pekmezović Tatjana

“…Odds ratios (OR) and 95% confidence intervals (95% CI) were calculated separately for each variable using univariate conditional logistic regression analysis. Results. There were no statistically significant differences in educational level, years of schooling, occupational and employment status between patients with OC and women in the control group. …”
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Effect of multiscale metro network-wide attributes on peak-hour station passenger and flow balancing by Haixiao Pan, Miao Hu, Xiyin Deng, Ailing Liu

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Healthcare workers’ willingness to receive COVID-19 booster dose and associated factors in the Democratic Republic of the Congo by Bertin Mindje Kolomba, Francois Kalenga Luhembwe, Deca Blood Banza Ndala, Pacifique Kanku Wa Ilunga, Paul Ciamala Mukendi, Amide Ngongo Kitenge, John Ngoy Lumbule, Elie Kilolo Ngoy, Antoine Umba Ilunga, Judith Mbidi Miema, Christelle Kalikat Mwavita, Guillaume Ngoy Mwamba, Aime Cikomola Wa Bene, Audry Mulumba Wakamba, Alain Ngashi Ngongo, Michel Kabamba Nzaji

“…The duration of protection was the main reason for accepting a booster COVID-19 dose for 64.6% of the respondents. Logistic regression analysis showed that having chronic diseases (aOR = 2.95 [1.65–5.28]), having already received one of the COVID-19 vaccines (aOR = 2.72 [1.43–5. 19]); the belief that only high-risk individuals, such as healthcare professionals and elderly people suffering from other illnesses, needed a booster dose (aOR = 1.75 [1.10–2.81]). …”
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Long-term prognosis and risk factors in tricuspid valve replacement surgery: a single-center study by Yingjie Ke, Yingjie Ke, Linbin Hua, Shanwen Pang, Qiuji Wang, Lishan Zhong, Zhenzhong Wang, Kan Zhou, Rong Zeng, Huanlei Huang, Huanlei Huang, Huanlei Huang

“…Multifactorial logistic regression analysis identified body weight, New York heart function classification, extracorporeal circulation time, and ventilator time as independent risk factors for in-hospital mortality. …”
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A cross-sectional observational study of the association between biochemistry profiles and the risk of age-related macular degeneration by Shuwei Bai, Lei Zhang, Weiming Yan, Haiyan Wang

“…Multivariable logistic regression, adjusted for age and demographic factors, showed no significant associations between the AMD risk and the levets of specific biochemical parameters (P > 0.05). …”
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High expression of Kruppel-like factor 4 as a predictor of poor prognosis for cervical cancer patient response to radiotherapy by Hai-Xia Liu, Na Li, Li Wei, Fu-Xing Zhou, Rui Ma, Feng Xiao, Wei Zhang, Ying Zhang, Yan-ping Hui, Hui Song, Bi-Liang Chen

“…Survival time was analyzed using Kaplan–Meier analysis and a Cox regression model. …”
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Factors influencing influenza vaccination coverage among kindergarten and primary school children in Zhejiang Province， 2023 by LI Minchao, TAO Jing, ZHANG Rui, WU Yumeng, HE Zhaokai, WU Chen

“…Multivariate logistic regression analysis showed that factors contributing to children’s influenza vaccination included both parents [adjusted OR (95%CI): 1.56 (1.32‒1.84)] and children [6.04 (5.04‒7.27)] having a history of influenza vaccination, parents’ conviction the influenza vaccine could protect children from severe diseases [1.43 (1.19‒1.74)], and the willingness of most parents would let their children get vaccinated [1.40 (1.13‒1.74)]. …”
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