Risk factors for irreversible organ damages in peri- and postmenopausal women with systemic lupus erythematosus by S. Yu. Shkireeva, E. G. Zotkin, O. M. Lesnyak

“…Musculoskeletal system injuries ranked first among other disorders: osteoporosis (OP) and muscle weakness were detected in 76 (38.6%) and 69 (35.0%) patients, respectively. Regression analysis involving all statistically significant factors showed that the degree of damage was influenced by age (p=0.013215), total GS dose (p=0.000047), and previous therapy with cyclophosphamide (p=0.041505).Conclusion. …”
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Probabilistic trophic magnification analysis for assessing the bioaccumulation potential of organophosphate flame retardants in freshwater ecosystems of South Korea by Dokyun Kim, Eun-Ji Won, Ha-Eun Cho, Hyeong-Wook Jo, Ki-Young Choi, Chang-Joon Kim, Kyung-Hoon Shin

“…Despite considerable efforts in recent years to quantify the trophic magnification factor (TMF) of organophosphate flame retardants (OPFRs), definitive conclusions regarding their biomagnification potential have not yet been reached. …”
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Registered report protocol: Factors associated with inter-rater agreement in grant peer review. by Jan-Ole Hesselberg, Pål Ulleberg, Øystein Sørensen, Knut Inge Fostervold, Sigrid Hegna Ingvaldsen, Ida Svege

“…Using a cross-classified linear regression model, we will explore the relationship between inter-rater agreement and multiple factors, including reviewer similarity, experience, expertise, research area, application characteristics, review depth, and temporal trends. …”
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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

“…Analysis of variance and multiple linear regression models were used to evaluate the desired associations. …”
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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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Research on the Influencing Factors and Countermeasures of Fertility Willingness among Different Age Groups in China by LIU Xinxin, SUI Jinhui, WU Bangdong, LIU Yan, LIANG Xiaohui, ZHAO Yang

“…Using multiple variables from three dimensions of personal characteristics, family characteristics, and attitudes as possible influencing factors, an ordered Logistic regression model was used to analyze the factors affecting fertility intention in the entire population and only for women. …”
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Identification of risk- and preventive factors predicting child maltreatment in pregnant women with psychosocial problems by Michi Ogawa, Tasuku Hashimoto, Tasuku Hashimoto, Tasuku Hashimoto, Mami Tanaka, Hiroki Ishii, Hiroki Ishii, Hiroki Ishii, Ryota Seki, Aiko Sato, Aiko Sato, Atsushi Kimura, Jun Okayama, Mamiko Endo, Naoki Saito, Masaomi Iyo, Masaomi Iyo

“…Multiple logistic regression analysis was performed to identify the risk factors and preventive factors influencing child maltreatment within the first month postpartum.ResultsA total of 253 pregnant women were included in the analysis, of whom 54 were reported for child maltreatment. …”
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Company Growth Factors, Workforce Size and Bribery Expenses (Perspective of Performance and Development of Companies) by S. Ashoori, A. Rezaei, S. Mahdavi

“…We used a multiple linear regression model with mixed data to analyze the data. …”
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Characteristics and influencing factors of occupational injuries among workers in a cable manufacturing enterprise by Ting XU, Juan QIAN, Yishuo GU, Daozheng DING, Jianjian QIAO, Yong QIAN, Xiaojun ZHU, Jingguang FAN

“…Logistic regression was used to analyze the influencing factors of occupational injuries. …”
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Prevalence and factors associated with fear of childbirth in late pregnancy: a cross-sectional study by Dongning He, Dongning He, Jinling Zhang, Jinling Zhang, Guoyu Wang, Guoyu Wang, Yan Huang, Yan Huang, Na Li, Na Li, Mingxin Zhu, Mingxin Zhu, Yangxue Meng, Yangxue Meng, Biru Luo, Biru Luo

“…Ordinal logistic regression analysis identified several significant risk factors for severe fear of childbirth, including lower education level, primiparity, no history of uterine scarring, natural conception, intention to have a cesarean section, high myopia, and urinary disease.ConclusionFear of childbirth is highly prevalent among women in late pregnancy and is influenced by multiple factors, including pregnancy comorbidities and complications. …”
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Exploring the intersectional dynamics of co-morbidities and risk factors among the older population in India by Kashfi Nigar, Praveen Kumar Pathak

“…Methods The data from the Indian Human Development Survey, 2012 (IHDS-II), were used to analyze the prevalence of co-morbidity and its confounding factors in India. …”
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Coverage of HPV Vaccination and Influencing Factors Among Female College Students in Northern China by Li Yang, Chen Xing, Xue Yu, Yanrui Xu, Weibing Wang, Caiyun Chang, Qingbin Lu

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Smoking is a significant contributor to intraoperative blood loss in metastatic spinal tumor surgery: a propensity score analysis by Xuedong Shi, Yunpeng Cui, Bailin Wang, Yuanxing Pan, Bing Wang, Yong Qin, Mingxing Lei

“…Multivariate analysis was used to analyze the relationship between smoking and intraoperative blood loss. …”
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Risk factors for prolonged hospitalization in acute decompensated heart failure from the HEROES study by Mateusz Lucki, Przemysław Mitkowski, Ewa Lucka, Marek Grygier, Ewa Straburzyńska-Migaj, Robert Morawiec, Agnieszka Kapłon-Cieślicka, Agata Galas, Katarzyna Byczkowska, Piotr Hamala, Iwona Gorczyca-Głowacka, Anna Furman-Niedziejko, Dominika Klimczak-Tomaniak, Agnieszka Major, Adrian Stefański, Mateusz Guzik, Małgorzata Zachura, Mateusz Staciwa, Ewa Pierzchała, Maciej Nadel, Maciej Lesiak

“…Abstract This study, part of the HEROES project (HEart failure Risk factOrs and patiEnt Stratification), aimed to identify clinical, laboratory, functional, and treatment-related factors associated with hospitalization duration (above and below 8 days) in patients admitted for acute decompensated heart failure (ADHF). …”
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Risk factors of acute bacterial paranasal sinusitis in children: a case control study by Ting-Fang Chiu, Ya-Li Hu, Jung-Chieh Du, Tsung-Zu Wu, Jason Jiunshiou Lee, Ping-Ing Lee

“…Multivariable logistic regression analysis showed that incense burning every day (aOR 2.45 [95% CI 1.25, 4.80], p < 0.001) and antibiotic use within three months (aOR 8.04 [95% CI 3.92, 16.50], p < 0.001) were significant risk factors of acute bacterial paranasal sinusitis. …”
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First-line Nurse Managerial Competence and Its Influencing Factors in Public Jordanian Hospitals by Abdulkareem S. Iblasi, Samer Makahleh, Yupin Aungsuroch, Joko Gunawan, I Gede Juanamasta

“…Purpose: This study aimed to analyze FLNM competence and its influencing factors within the unique context of Jordan’s healthcare system. …”
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Survival Outcomes and Predictive Factors of Mortality in Feline Epilepsy: A Comprehensive Retrospective Study by Kreevith Prompinichpong, Nirut Suwanna, Vachira Hunprasit, Amonrat Thongbai, Wutthiwong Theerapan, Naris Thengchaisri, Panpicha Sattasathuchana

“…Univariate and multivariable logistic regression analyses were conducted to identify the significant survival factors. …”
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Factors Affecting the Ideals of Childbearing among Young People within Iranian Ethnic Groups by Zahra Ghorbani, Mohamad Aghasi

“…Descriptive statistics and Poisson regression analysis were employed to analyze the data, which were processed using SPSS software.   …”
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Stability of Watch-Based Blood Pressure Measurements Analyzed by Pre-Post Calibration Differences by Youngro Lee, Jongae Park, Sungjoon Park, Jongmo Seo, Hae-Young Lee

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PDIA3 rs2788, a risk factor for metabolic syndrome, interacted negatively with antihypertensive medications by Man Zheng, Yeting Li, Lei Gu, Chunyan Xiang, Xiaoning Li, Shanshan Li, Nannan Li, Hongtao Lan, Fenglei Zhang

“…The association of PDIA3 rs2788 with MetS was analyzed. Crossover analysis elucidated the crosstalk between PDIA3 rs2788 and antihypertensive treatment, and the synergistic effect on MetS. …”
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