Determinants of ICT Adoption and Performance in Healthcare: The Role of Individual Attributes and Organizational Contextual Factors by Abey Jose, Alejandro F. Mac Cawley, Luis Enberg Gaete, Guilherme Luz Tortorella, Roberto Vassolo, Manisha Kumar, Nick Rich, Maneesh Kumar

“…We conducted a global survey involving healthcare professionals (n =204) to understand the role of various determinants in adopting ICTs and their implications for organizational performance. Data was analyzed using Partial Least Squares Structural Equation Modelling (PLS-SEM) and multiple regression for micro-level constructs. …”
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Factors associated with Autism Spectrum Disorder: a case-control study in the Lebanese population by Tania Bitar, Perla Gerges, Maria-Cristina Kassab, Souheil Hallit, Hanna Mattar, Michel Soufia, Christian R. Andres, Walid Hleihel

“…Background: Genetic factors represent the major etiological contributor in Autism Spectrum Disorders (ASD) but several studies also support the involvement of environmental factors. …”
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Prevalence of pulmonary hypertension and associated factors among rheumatic heart disease patients in Ethiopia by Asmamaw Gedefaw, Yihealem Yabebal Ayele, Gebeyaw Wudie, Abiyot Tefera, Agerye Kassa Yirdaw, Tadele Demilew

“…Data were entered using Epidata Manager version 4.6 and analyzed using SPSS version 27. Multivariate logistic regression analysis was used to identify determinants of PH, considering with a p-value of < 0.05 as statically significant, with a 95% confidence interval. …”
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Risk factors and predictive model for mild cognitive impairment in elderly patients with rheumatoid arthritis by Jun Yan, Hua Guo, Lin-Xin Zhang, Pei Chen, Yong-Ku Du, Juan Li, Ya-Ya Gao, Nan Ye

“…Cognitive function was assessed using the Montreal Cognitive Assessment (MoCA), with scores ranging from 20 to 26 indicating MCI. We analyzed demographic, clinical, and laboratory data to identify risk factors through logistic regression and constructed a nomogram. …”
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Quality of newborn care and associated factors: An analysis of the 2022 Kenya demographic and health survey. by John Baptist Asiimwe, Earnest Amwiine, Angella Namulema, Quraish Sserwanja, Joseph Kawuki, Mathius Amperiize, Shamim Nabidda, Imelda Namatovu, Lilian Nuwabaine

“…This study aimed to determine the factors that influence the quality of newborn care in Kenya. …”
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Tenosynovial Giant Cell Tumors of the Hand: Analysis of Risk Factors for Surgical Margin and Recurrence by Tolgahan Cengiz, Şafak Aydın Şimşek, Ercan Bayar, Furkan Erdoğan, Alparslan Yurtbay, Hüseyin Sina Coşkun, Ahmet Pişkin, Nevzat Dabak

“…This study analyzed the risk factors associated with surgical margin positivity and local recurrence in patients treated for localized hand TGCTs, contributing to more accurate preoperative risk stratification. …”
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Aging and liver health: liver chemistries and associated factors in community-dwelling older adults by Farah Safdar Husain, Siew Ling Tey, Dieu Thi Thu Huynh, Jeffery Oliver, Geraldine Baggs, Choon How How, Wai Leng Chow, Magdalin Cheong, Tar Choon Aw, Samuel Teong Huang Chew, Ngiap Chuan Tan

“…The literature has also reported a decline in serum alanine transaminase (ALT) in older age independent of other factors. In this study, we seek to (1) evaluate liver chemistries in healthy community-dwelling older adults, and (2) investigate the associations with age, sex, use of statins, and other factors. …”
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Factors for Rituximab Refractoriness in AQP4‐IgG+ NMOSD: A Cohort Study by Mariano Marrodan, María A. Piedrabuena, María A. Zarate, Sofía Rodríguez Murúa, Ezequiel I. Surace, Mauricio F. Farez, Marcela P. Fiol, María C. Ysrraelit, Jorge Correale

“…Our objective is to investigate factors associated with treatment refractoriness in AQP4‐IgG‐positive NMOSD patients treated with rituximab. …”
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A simple predictive model for puerperal infections: emphasizing risk factors and pathogen analysis by Yanqing Wen, Yanqing Wen, Xin Ming, Xin Ming, Jing Yang, Jing Yang, Hongbo Qi, Hongbo Qi

“…BackgroundPuerperal infection (PI) accounting for approximately 11% of maternal deaths globally is an important preventable cause of maternal morbidity and mortality. This study aims to analyze the high-risk factors and pathogenic bacteria of PI, design a nomogram to predict the risk of PI occurrence, and provide clinical guidance for prevention and treatment to improve maternal outcomes.MethodsA total of 525 pregnant women were included in the study. …”
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Exploring Factors Affecting Health-Related Quality of Life in Coronary Artery Disease Patients by Geetha Kandasamy, Thangamani Subramani, Mona Almanasef, Khalid Orayj, Eman Shorog, Asma M. Alshahrani, Tahani S. Alanazi, Anusha Majeed

“…The differences and associations of sociodemographic and lifestyle factors with HRQoL were analyzed using the chi-square test and multivariate regression. …”
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Dietary intake and quality for young adolescents in sub‐Saharan Africa: Status and influencing factors by Isabel Madzorera, Sabri Bromage, Mary Mwanyika‐Sando, Alain Vandormael, Huda Sherfi, Amare Worku, Sachin Shinde, Ramadhani Abdallah Noor, Till Baernighausen, Deepika Sharma, Wafaie W. Fawzi

“…Generalized estimating equations linear regression models were used to evaluate factors associated with adolescent diet quality. …”
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Factors associated with the risk of progression and decompensation of heart failure in patients with an implantable cardioverter-defibrillator by N. B. Lebedeva, I. V. Talibullin, P. G. Parfenov, A. P. Egle, O. L. Barbarash

“…Aim. To analyze clinical and anamnestic factors associated with the risk of acute decompensated heart failure (ADHF) in patients with an implanted cardioverter-defibrillator (ICD) with the development of a prognostic model based on the Kuzbass registry of patients with ICD.Material and methods. …”
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Influencing factors and prognostic value of pulmonary arterial hypertension in chronic kidney disease patients by Liu Hai-jun, Yang Xiu-qin, Song Qing-qing, Li Yan-guo

“…Objective To explore the influencing factors of pulmonary arterial hypertension（PAH）in CKD stage 3-5 non-dialysis patients and observe the prognostic influence of PAH.Methods From January 1,2014 to January 1,2017,a total of 283 patients with CKD stage 3-5 were admitted and followed up.They were divided into two groups of PAH and non-PAH.Follow-up endpoints included all-cause mortality and progression to renal replacement therapy（RRT）.Kaplan-Meier survival curve was utilized for comparing the differences in overall and renal survivals in each group.Cox proportional risk regression model was employed for analyzing the risk factors affecting poor prognosis.Results There were 166 males（58.66%）and 117 females（41.34%）with an average age of（46.06±14.18）years.Compared with non-PAH group, age, blood pressure and C-reactive protein（CRP）level were all higher in PAH group（all P<0.05）.The levels of hemoglobin（Hb）,hematocrit（HCT）,estimate glomerular filtration rate（eGFR）,bicarbonate and cholesterol were all lower than those in PAH group（all P<0.05）.Multivariate binary Logistic regression analysis indicated that systolic blood pressure（SBP）（OR=1.032,95%CI 1.007-1.056,P=0.007）,hemocrit（HCT）（OR=0.812,95%CI 0.739-0.892,P<0.001）and bicarbonate（OR=0.856,95%CI 0.781-0.938,P<0.001）were influential factors for PAH in non-dialysis CKD patients.Kaplan-Meier survival analysis revealed that survival rate was significantly lower in PAH group than that in non-PAH group（Log-rank, χ²=13.184,P<0.001）.And renal survival rate was also significantly lower than that of non-PAH group（Log-rank, χ²=21.948,P<0.001）.Multivariate Cox regression model analysis showed that the risk of all-cause mortality was 2.228 folds higher in PAH group than that in PAH group（HR=2.228,95%CI 1.088-4.564,P=0.029）.And the risk of progression to RRT was 1.692 folds higher than that in PAH group（HR=1.692,95%CI 1.064-2.728,P=0.031）.Conclusion Hypertension, low HCT and low bicarbonate level are risk factors for PAH development in CKD stage3-5.And PAH is a risk factor for all-cause mortality and progression to RRT in non-dialysis CKD patients.…”
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Factors affecting the severity of respiratory infections: a hospital-based cross-sectional study by Yunshao Xu, Li Qi, Jule Yang, Yuping Duan, Mingyue Jiang, Yanxia Sun, Yanlin Cao, Zeni Wu, Wenge Tang, Luzhao Feng

“…Data analysis was carried out using Stata 17.0, with multiple logistic regression models assessing the associations between clinical factors and disease severity. …”
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Risk factors for suicide in patients with pancreatic cancer using data from the SEER database by HUANG Liying, HUANG Tao, LI Li, FENG Aozi, HE Ningxia, LI Shuna, LYU Jun

“…The person-year mortality rate from suicide and standard mortality ratio were calculated to analyze characteristics of corresponding groups. Regression analysis was used to investigate risk factors for suicide in patients with pancreatic cancer, with further analysis of male patients having risk factors associated with suicide.Results The proportions of patients with characteristics of Caucasian (80.68%), up to 65 years old (65.02%), surgery not recommended (70.57%), neoplasm with distant metastasis (57.28%), married (56.06%), median annual household income between 50,000 to 74,999 dollars (47.17%) and no chemotherapy (52.48%) were relatively high in 153,612 patients with pancreatic cancer, which was similar to the stratified population distribution of characteristics of 138 patients with pancreatic cancer who committed suicide. …”
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Carbon Emission Influencing Factors and Scenario Prediction for Construction Industry in Beijing–Tianjin–Hebei by Wensheng Liu, Danchen Ren, Changbo Ke, Wei Ying

“…In this paper, the factors causing the change in carbon emissions from direct energy consumption in the construction industry in Beijing–Tianjin–Hebei are decomposed using the logarithmic mean divisia index (LMDI) method to analyze the effect values and contribution rates of each macrofactor. …”
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Risk factors of left ventricular hypertrophy in patients with non-dialysis chronic kidney disease by ZHANG Zhe, XIA Tian-yu, ZHANG Xiao-lin, LI Di, TAN Zhi-cheng

“…Objective To explore and analyze the risk factors of left ventricular hypertrophy（LVH） in patients with non-dialysis chronic kidney disease（ND-CKD）, and to provide evidence for prevention of LVH in patients with ND-CKD. …”
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Prevalence of dyslipidemia and its influencing factors among adult residents in Hebei province: a cross-sectional survey by Qianyu LI, Yajing CAO, Lijuan TANG, Yuhuan LIU, Xiaoying LU, Qi QI, Shifan WANG, Xiaoli LIU, Ze CUI

“…The prevalence of dyslipidemia and its components was analyzed, and an unconditional multivariate logistic regression model was used to analyze the main factors influencing dyslipidemia and its components in the participants. …”
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Factors associated with secondary thoracotomy for hemostasis following lung surgery: a retrospective analysis by Junwei Xie, Junwei Xie, Junwei Xie, Hongliang Wang, Tianci Han, Wei Tong, Xiaoqi Guo, Min Zhang, Dongzhe Liu, Liang Zhang, Liang Zhang, Liang Zhang, Hongxu Liu, Hongxu Liu, Hongxu Liu

“…Statistical analysis was performed using SPSS 26.0; logistic regression was used to identify risk factors.ResultsAmong 15,156 patients who underwent lung surgery, 39 (0.257%) required secondary thoracotomy. …”
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Risk/protective factors for alcohol binge and heavy drinking among adult’s racial minorities in the United States by Suhaib Yehya

“…This study examines how various risk and protective factors impact binge and heavy drinking. Data from the 2022 National Survey on Drug Use and Health (NSDUH) were analyzed, focusing on adults aged 18 and older (N = 71,369). …”
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