Association Between Sleep and Vertigo Severity in Benign Paroxysmal Positional Vertigo: Mediating Role of Psychological Factors by Xing J, Xu X, Shan H, Wu J, Liu P, Shi W, Ren P, Liu J, Huang Y, Mi B

“…Vertigo severity was assessed using the Dizziness Handicap Inventory (DHI), sleep quality was measured with the Pittsburgh Sleep Quality Index (PSQI), and psychological states were evaluated using the Hospital Anxiety and Depression Scale (HADS), Self-rating Anxiety Scale (SAS), and Self-rating Depression Scale (SDS). Multiple regression and mediation analysis were conducted to explore the relationships between sleep quality, psychological factors, and vertigo severity.Results: Robust correlations were demonstrated between total PSQI scores and all DHI subscales (p < 0.001). …”
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Reproductive choices, mobile technology and social media: insights from Nigerian women’s family planning experiences by Idowu O. Ayodeji, Tosin O. Oni, Oladimeji Ogunoye

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Clinical Characteristics, Risk Factors, and Predictors of Nonobese Fatty Liver Disease: A Cross-Sectional Study by Zhang X, Wang S, Xu S, Min R, Ling Y, Sun S, Gong R

“…The associations between non-obese fatty liver and gender, age, total bilirubin(TBIL), direct bilirubin(DBIL), alanine aminotransferase(ALT), aspartate aminotransferase(AST), glutamine transferase(GGT), alkaline phosphatase(ALP), triglycerides(TG), total cholesterol(TC), high-density lipoprotein cholesterol(HDLC), low-density lipoprotein cholesterol(LDLC), urea nitrogen(BUN), creatinine(Cr), uric acid(UA), Central nervous system sensitivity PTFQI, TSHI, TT4RI, TFQI, Peripheral sensitivity, free thyroxine(FT4), thyroid-stimulating hormone(TSH), triiodothyronine(FT3), fasting blood glucose(FBG), systolic blood pressure(SBP), diastolic blood pressure(DBP), body mass index(BMI) were analyzed via binary logistic regression. Correlation between non-obese fatty liver and high blood lipids, hypertension, hyperuricemia, diabetes, thyroid dysfunction were analyzed using the Pearson and Spearman methods. …”
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Prevalence and risk factors for Chlamydia trachomatis seropositivity and seropersistence among women: A prospective cohort study. by Zoïe W Alexiou, Bernice M Hoenderboom, Christian J P A Hoebe, Iris Scholte, Reshtrie Sheombarsing, Nicole H T M Dukers-Muijrers, Birgit H B van Benthem, Servaas A Morré

“…Multivariable logistic regression identified demographic, behavioral, and host single nucleotide polymorphism (SNP) factors associated with seropersistence and seropositivity.…”
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Cryptosporidium infection and associated factors among diarrheic children under five years of age in Eastern Ethiopia. by Degu Abate, Rea Tschopp, Berhanu Seyoum, Yadeta Dessie, Mahlet Osman Hasen, Gizachew Gemechu, Øystein Haarklau Johansen, David Carmena, Lucy J Robertson, Kurt Hanevik, Alemseged Abdissa

“…A structured questionnaire was used to obtain information on sociodemographic and other variables potentially associated with Cryptosporidium infection. Poisson regression with a robust variance model was employed to assess factors associated with Cryptosporidium infection using the prevalence ratio with 95% confidence intervals (CI).…”
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The correlation analysis of weight and blood pressure during the pregnancy and its influencing factors: a retrospective study by Jie Ren, Jing Li, Zhuoran Fan, Caiyun Zhao, Yujie Wang, Shaofang Hua

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A survey on the attitudes of pediatric residents toward rational use of medicines and associated factors in Izmir, Turkey by Perihan Koçak Kavruk, Meltem Çiçeklioğlu, Şafak Taner

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Risk factors of lower respiratory tract infection after general anesthesia for maxillofacial trauma in elderly patients by LI Yi, HU Haolei, ZHANG Pengzhen

“…The detailed information and medical history of the patients were obtained, the number of cases of postoperative lower respiratory tract infection was recorded, and the possible causes and risk factors were systematically analyzed. [Results:] Forty of the 300 elderly patients who underwent maxillofacial trauma surgery had lower respiratory tract infection, and the infection rate was 13.33%. …”
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Factors affecting the successful implementation of customer relationship management in 3-to-5-star hotels in Viet Nam by Nguyen Viet Thai, Bui Thi Quynh Trang, Nguyen Le Dinh Quy, Nguyen Thi Quynh Huong, Vu Thi Thu Huyen

“…Upon being filtered, the data was analyzed by a Cronbach’s Alpha coefficient, regression analysis, and hypothesis testing to measure the impact level of the factors affecting the successful implementation of CRM, and the relationship between the successful implementation of CRM and customer loyalty. …”
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A systematic review and meta-analysis of the prevalence and risk factors of type 2 diabetes mellitus in Nigeria by Michael Adeyemi Olamoyegun, Kehinde Alare, Samson Adedeji Afolabi, Nicholas Aderinto, Taiwo Adeyemi

“…Data were extracted with Microsoft Excel and analyzed using Stata version 16 software. Random effect meta-regression analysis at 95% CI was used to assess pooled prevalence and risk factors. …”
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Exploring the prevalence of nomophobia, its contributing factors, and the relationship with social interaction anxiety among nursing students by Narges Sadeghi, Shahab Rezaeian, Maryam Janatolmakan, Pegah Heidarian, Alireza Khatony

“…Considering the variability in findings across studies on the prevalence of nomophobia and social anxiety, this study aimed to investigate the prevalence of nomophobia, its associated factors, and its relationship with social interaction anxiety among nursing students. …”
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Quantitative analysis of factors affecting IR-43 and Tinajones rice variety adoption in Peru’s Camaná Valley by Jorge Arturo Zegarra-Flores, Jorge Manuel Montalvo Otivo, Elisa Raquel Atao Surichaqui, Elmer Elio Calizaya Llatasi, Fredy Grimaldo Calizaya Llatasi, Carmen Gisela Mindani Caceres, Cirilo Mario Caira Mamani, Franklin Ore Areche, Danitza Corina Paricanaza-Ticona, Rodolfo Leon Gomez, Edson Efrain Tito Quispe

“…Abstract This study analyzed the socio-economic, institutional, and environmental factors influencing the adoption of high-yielding rice varieties, IR-43 and Tinajones, in the Camaná Valley, Peru. …”
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Factors influencing farmer entrepreneurs' decision to return home for sustainable rural development: evidence from China by Yiqiang Feng, Ziao Chen, Shuxian Wang, Yuxin Zhang

“…The data were analyzed through ordered logistic regression, with robustness checks conducted via ordered probit models (AIC = 780, BIC = 845).Results(1) Economic Agency: Income level shows marginal significance (β = 0.0035, p = 0.078), with those earning over ¥100,000 annually being 1.8 times more likely to return (OR = 1.84), supporting Hypothesis H11. (2) Family Constraints: Childcare responsibilities significantly reduce return intentions (β = −0.3167, p = 0.021, OR = 0.728), while eldercare responsibilities show no significant effect (β = 0.0796, p = 0.594, OR = 1.083), possibly due to reliance on urban eldercare services. (3) Cultural Anchors: Frequent home visits (β = 0.0314, p = 0.001, OR = 1.032) and strong hometown identity (β = 0.1578, p = 0.011, OR = 1.171) jointly enhance return intentions. …”
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Optimization of utilizing the HHIE-S for hearing screening in older people: a cross-sectional study of associated factors by Xinyang Zhou, Xinxing Fu, Yi Zhang, Jian Zhou, Yao Cui, Bo Liu

“…The rate of total accuracy, total inaccuracy, false negative, and false positive were calculated, and factors associated with the false negatives and false positives of the HHIE-S were analyzed via multivariate logistic regression analysis. …”
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Predictive Factors for Improvement of Atrophic Gastritis and Intestinal Metaplasia: A Long-term Prospective Clinical Study by Young-Jae Hwang, Nayoung Kim, Chang Yong Yun, Min Gu Kwon, Sung Min Baek, Yeong Jae Kwon, Hye Seung Lee, Jae Bong Lee, Yoon Jin Choi, Hyuk Yoon, Cheol Min Shin, Young Soo Park, Dong Ho Lee

“…To find the predictive factors for reversibility of AG and IM, 24 factors including genetic polymorphisms and bacterial and environmental factors were analyzed. …”
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Socioeconomic factors affecting postpartum mental health in mothers referred to a hospital in yasuj, Southwestern Iran by Leila Manzouri, Marzieh Karami, Maryam Seyed-Nezhad, Mohammad Moradi-Joo

“…To determine mental health status, the Depression, Anxiety, Stress scale 21 questionnaire (DASS21), which is a self-assessment tool for depression, anxiety, and stress, was used. Data were analyzed using ordinal regression in SPSS version 21. …”
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Health management information system utilization and associated factors in public and private health facilities of Mogadishu, Somalia by Adam Sheikh Said, Dmitry Ivanovich Kicha, Yulia Sh. Gushchina, Amenti Teka Geferso, Maye Omar

“…Collected data were then analyzed using SPSS version 26. A logistic regression model was computed to measure the factors associated with HMIS utilization. …”
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Factores de riesgo cardiovascular y condiciones socioeconómicas y sociodemográficas en México, 2000 - 2018 by Daniel Lozano Keymolen, Sergio Cuauhtémoc Gaxiola Robles Linares

“…In each sample, with logistic regressions, the prevalences of each risk factor were estimated according to the socioeconomic level determined by each cluster, adjusting for sex, age, and education. …”
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Factors affecting the primary patency of native arteriovenous fistulas after ultrasound-guided percutaneous transluminal angioplasty by Xue Xing, Qing Li, Yi Yang, Yanan Wang, Xiaona Zhan, Cailin Zhang, Gang Xu, Fan He

“…Objective By analyzing the clinical history, laboratory test indexes, and intraoperative ultrasound imaging data of patients receiving ultrasound-guided percutaneous transluminal angioplasty (UG-PTA) for the first time, the application value of UG-PTA in the treatment of peripheral stenosis of autogenous arteriovenous fistula (AVF) and the related factors affecting postoperative patency were investigated.Methods A total of 381 patients with dysfunction of radio-cephalic AVF were treated with UG-PTA from June 2017 to September 2019. …”
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Environmental Factors Affecting Sleep Quality in Intensive Care Unit Patients in Southern Morocco: An Assessment Study by Abdelmajid Lkoul, Keltouma Oumbarek, Youssef Bouchriti, Asmaa Jniene, Tarek Dendane

“…Multiple regression analysis identified the factors influencing sleep quality. …”
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