Revenue Management Practices and Service Delivery in Local Government: A Case Study of Rubanda District Local Government Uganda. by Buregyeya, Steven

“…The demographic analysis revealed a balanced gender distribution and a well-educated participant pool, providing a solid foundation for the study's findings. …”
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Agricultural Innovation Characteristics and Their Utilisation: A Case of National Agricultural Research Organization by Barekye, Alex

“…In addition, regression results indicated that innovation characteristics such as relative xii advantage, compatibility, triability and, other variables such as gender, age, education had a significant effect (p<0.05) on innovation utilization by farming communities. …”
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Principles of effective out-patient diagnostics of diffuse liver diseases by Komova A. G., M. V. Mayevskaya, V. T. Ivashkin

“…Risk factors for diseases, defined by one-way ANOVA test, were: male gender (p&lt;0,001), excessive body weight and obesity (body mass index &gt;25 kg/m2 (p&lt;0,001)), hyperglycemia (p&lt;0,001), hypertriglyceridemia (p&lt;0,001). …”
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Rotation errors in path integration are associated with Alzheimer’s disease tau pathology: a cross-sectional study by Lise Colmant, Lisa Quenon, Lara Huyghe, Adrian Ivanoiu, Thomas Gérard, Renaud Lhommel, Pauline Coppens, Yasmine Salman, Vincent Malotaux, Laurence Dricot, Lukas Kunz, Nikolai Axmacher, Philippe Lefèvre, Bernard Hanseeuw

“…We fitted linear mixed models to predict the path integration performances according to amyloid status or tau pathology in the medial temporal lobal, adjusting for age, gender, cognitive status, education, and video game experience. …”
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Gastrointestinal Symptoms in Marfan Syndrome and Hypermobile Ehlers-Danlos Syndrome by N. Inayet, J. O. Hayat, A. Kaul, M. Tome, A. Child, A. Poullis

“…The same questionnaires were also completed by age- and gender-matched controls attending fracture clinic without existing diagnoses of MS or hEDS. …”
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Role of Cannabis in the Management of Chronic Non-Cancer Pain: A Narrative Review by Lou’i Al-Husinat, Shrouq Obeidat, Saif Azzam, Yara Al-Gwairy, Fatima Obeidat, Sarah Al Sharie, Deema Haddad, Fadi Haddad, Martina Rekatsina, Matteo Luigi Giuseppe Leoni, Giustino Varrassi

“…Adverse effects vary by gender and prior use, with addiction mainly linked to THC and influenced by genetics. …”
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Inflammatory Markers and Obstructive Sleep Apnea in Obese Children: The NANOS Study by Alex Gileles-Hillel, María Luz Alonso-Álvarez, Leila Kheirandish-Gozal, Eduard Peris, José Aurelio Cordero-Guevara, Joaquin Terán-Santos, Mónica Gonzalez Martinez, María José Jurado-Luque, Jaime Corral-Peñafiel, Joaquin Duran-Cantolla, David Gozal

“…Results. 204 children were enrolled in the study; 75 had OSA, defined by an obstructive respiratory disturbance index (RDI) of 3 events/hour total sleep time (TST). BMI, gender, and age were similar in OSA and no-OSA children. …”
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The association between sleep duration and myopia among Chinese school-age students: mediation effect of physical activity by Haiqing Feng, Yuexia Gao, Na An, Yitong Lu, Jianping Huang, Weiping Yang, Qingyun Lu

“…Sleep duration was found to be adversely correlated with myopia (sleep duration = 8–10 h/d: OR = 0.68, p &lt; 0.01; sleep duration &gt; 10 h/d: OR = 0.48, p &lt; 0.01) after controlling for potential confounders like gender, age, and BMI-z score (Body Mass Index Score). …”
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Reference Intervals (RIs) of the Bone Turnover Markers (BTMs) in Children and Adolescents: A Proposal for Effective Use by Vincenzo Brescia, Roberto Lovero, Antonietta Fontana, Roberta Zerlotin, Silvia Concetta Colucci, Maria Grano, Angela Pia Cazzolla, Francesca Di Serio, Vito Crincoli, Maria Felicia Faienza

“…Discussion and Conclusions: Concentrations for biomarker studied vary with age and gender. The proof of concentrations with insignificant changes until puberty led to identification of two groups of RI relating to the covariables (age and sex) for each biomarker.…”
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The role of educational institutions in transformations to achieve sustainable development by Olha Kurylo, Olena Kryvylova, Viktoriia Zhyhir, Valentyna Peregudova, Yuliia Bielova-Oleynik, Serhii Onyshchenko, Olena Revutska

“…Special attention is given to such sustainable development goals as quality education (SDG 4), gender equality (SDG 5), sustainable cities and communities (SDG 11), peace and justice (SDG 16), and partnerships for the goals (SDG 17). …”
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Loss of LLGL1 Expression Correlates with Diffuse Gastric Cancer and Distant Peritoneal Metastases by Alexander Desuki, Frank Staib, Ines Gockel, Markus Moehler, Hauke Lang, Stefan Biesterfeld, Annett Maderer, Peter R. Galle, Martin R. Berger, Carl C. Schimanski

“…Loss of LLGL1 expression was associated with the diffuse type of gastric cancer (P=0.029) with peritoneal carcinomatosis (M1; P=0.006) and with female gender (P=0.017). Stable reexpression of LLGL1 in SNU16 cells significantly increased both plastic surface adhesion and extracellular matrix proteins laminin and fibronectin, but had no impact on in vitro proliferation, apoptosis, or invasion or on in vivo proliferation or differentiation in our xenograft bioassay. …”
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Interaction effect between overweight/obesity and alcohol consumption on hypertension risk in China: a longitudinal study by Xiaoqin Wang, Zhaozhao Hui, Jiaru Sun, Paul D Terry, Xiaohan Ren, Shuangyan Lei, Caihua Wang, Mingxu Wang

“…After adjusting for age, gender, education level, marital status, physical activity, diabetes and smoking, high body mass index (BMI) and light drinking (OR=5.07, 95% CI 3.06 to 8.41), high waist circumference (WC) and light drinking (OR=4.81, 95% CI 2.92 to 7.91), high waist hip ratio and light drinking (OR=2.85, 95% CI 1.84 to 4.42) were the highest risk of all participants in the three combinations. …”
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Inverse relationship of oxidative balance score with hyperuricemia among Chinese adults: a population-based cross-sectional study by Hewei Peng, Ying Han, Jingru Huang, Wenxin Qiu, Huajing Chang, Jiangwang Fang, Xian-E Peng

“…There were significant interactions between OBS and gender, hypertension, and dyslipidemia on hyperuricemia (P interaction < 0.05), except for age, education, and diabetes (P interaction > 0.05). …”
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Parental Technoference and Child Problematic Media Use: Meta-Analysis by Jinghui Zhang, Qing Zhang, Bowen Xiao, Yuxuan Cao, Yu Chen, Yan Li

“…Specifically, the association was stronger when both parents engaged in technoference compared to when only 1 parent did, and in cross-sectional studies compared to longitudinal studies. Age, gender, publication status, and type of problematic media use did not significantly moderate the relationship (all P>.05). …”
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The Association Between Body Composition, Overall Survival, Treatment Decisions, and Patient‐Reported Outcomes in Metastatic Non‐Small‐Cell Lung Cancer by Adriana M. Coletta, Hyejung Lee, Sonam Puri, Sinead Culleton, Matthew F. Covington, Jeffrey T. Yap, Kelsey E. Maslana, Benjamin Haaland, Wallace Akerley

“…Models were adjusted for gender, age at diagnosis, smoking history, and mutation status. …”
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Occupational adjustments and work ability of young adult cancer survivors: results from the AYA-Leipzig study by Hannah Brock, Katharina Schröter, Michael Friedrich, Annekathrin Sender, Diana Richter, Anja Mehnert-Theuerkauf, Kristina Geue, Katja Leuteritz

“…The probability of a reduction in working hours was found to be higher among older AYA-CS (≥ 30), female gender and with a fatigue index ≥ 11 (R2 = 0.073). …”
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Machine learning analysis of emerging risk factors for early-onset hypertension in the Tlalpan 2020 cohort by Mireya Martínez-García, Guadalupe O. Gutiérrez-Esparza, Guadalupe O. Gutiérrez-Esparza, Manlio F. Márquez, Manlio F. Márquez, Luis M. Amezcua-Guerra, Enrique Hernández-Lemus, Enrique Hernández-Lemus

“…Additionally, odds ratios were calculated to express the size and direction of influence for each variable, and a sex-stratified analysis was conducted to identify any gender-specific risk factors.DiscussionThis nested study provides evidence that sleep disorders, a sedentary lifestyle, consumption of high-fat foods, and energy drinks are potentially modifiable risk factors for hypertension in a Mexico City cohort of young and relatively healthy adults. …”
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Cerebellar white and gray matter abnormalities in temporal lobe epilepsy: a voxel-based morphometry study by Yini Chen, Jingyu Pan, Andong Lin, Lu Sun, Yufei Li, Hongsen Lin, Renwang Pu, Ying Wang, Yiwei Qi, Bo Sun

“…In this study, we used the Spatially Unbiased Infratentorial (SUIT) toolbox with a new template to evaluate the cerebellar structural abnormalities in patients with TLE, and further explored the relationship between the changes of different cerebellar regions and cognition.MethodsThirty-two patients with TLE were compared with 39 healthy controls (HC) matched according to age, gender, handedness, and education level. All participants underwent a high-resolution T1-weighted MRI scan on a 3.0 Tesla scanner. …”
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Patterns and Factors Associated with Dyslipidemia Among Patients with Diabetes Mellitus Attending Hoima Regional Referral Hospital, Uganda by Hirsi AM, Abdi AA, Peris A, Jacinto A, Muhammad P, Nur IA, Mohamud MH, Hussein M, Qaws A, Jayte M

“…All diabetes patients who were overweight or obese had dyslipidemia (p < 0.001).Conclusion: The most common pattern of dyslipidemia in patients with diabetes was elevated total cholesterol, followed by high low-density lipoprotein, associated with overweight, obesity, female gender, and CHD. Routine screening of lipid profiles, BMI, and CHD in diabetic clinics is crucial for early intervention and improved outcomes.Keywords: diabetes mellitus, dyslipidemia, total cholesterol, low-density lipoprotein, coronary heart disease, risk factors, Uganda…”
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Systematic review and meta-analysis on the prevalence and risk factors of oral frailty among older adults by Pingping Huang, Linjing Wu, Rongxiang Zhang, Rongxiang Zhang, Shiqi Chen, Shiqi Chen, Yu Zhang, Yuan Chen, Yuan Chen

“…Factors such as age, gender, physical frailty, pre-frailty, and unattached were identified as key risk factors for oral frailty in older adults (all p &lt; 0.05).ConclusionThe incidence of oral frailty among older adults is notably high and influenced by a variety of factors. …”
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