Attitudes Toward Psychotherapeutic Treatment and Health Literacy in a Large Sample of the General Population in Germany: Cross-Sectional Study by Rebekka Schröder, Tim Hamer, Ralf Suhr, Lars König

“…Pearson correlations (age), ANOVAs (level of education and subjective social status), and t tests (experience with psychotherapy, gender, and migration background) were used to analyze how these relate to attitudes toward psychotherapy. …”
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EVALUACIÓN DE LA SATISFACCIÓN LABORAL DE PROFESORES DE EDUCACIÓN FÍSICA by Raquel Krapp do Nascimento, Gelcemar Oliveira Farias, Marcos Paulo Vaz de Campos Pereira, Jorge Both, Alexandra Folle

“…Working conditions differed according to gender(women>men) and age (31 years of age or older>up to 30 years of age), while career progression, autonomy at work, and social relevance differed in relation to teachers’ age (31 years of age or older>up to 30 years of age). …”
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Transformative agency of students as a resource to form civic consciousness in education system by M. V. Pevnaya, A. N. Tarasova, D. F. Telepaeva, D. S. Protasov

“…There are four quotas in its base: gender, age, main type of education (school, secondary school, university); type of city by population. …”
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Global, regional and national burden due to retinoblastoma in children aged younger than 10 years from 1990 to 2021 by Cong Li, Lijun Zhang, Jie Zhang, Jinghua Jiao, Guangyao Hua, Yan Wang, Xue He, Chingyu Cheng, Honghua Yu, Xiaohong Yang, Lei Liu

“…Among all GBD regions, only Southern Sub-Saharan Africa exhibited rising trends in mortality and DALYs rate. Gender comparisons showed negligible differences in ASIR, ASMR and ASDR in 2021. …”
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Evaluation of Modified Frailty Index-5 as a Predictor of 60-day Perioperative Morbidity and Mortality in Geriatric Patients Presenting for Orthopaedic Surgery: A Prospective Cohort... by Aparna Ashay Nerurkar, Amreen Fatima

“…Age (p-value=0.315), gender (p-value=0.635), scheduling (p-value=0.530), site (p-value=0.077) and nature of surgery (p-value=0.172) were not statistically significant, while mFI scores ≥3 (p-value <0.001), American Society of Anaesthesiologists (ASA) grades (p-value=0.016), surgical duration (p-value=0.012), CHF (p-value=0.003) and DM (p-value=0.002) were statistically significant. …”
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Application of Kansei Engineering in Various Train Compartment Designs to Determine the User's Affective Response by Dinda Karina Yohanny, Lu'Lu' Purwaningrum, Ambar Mulyono

“…In addition, several user clusters were formed based on gender, age, and monthly income to segment train compartments when commercialized. …”
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Ten-year outcomes of repeat keratoplasty for optical indications by Victoria Grace Dimacali, Hon Shing Ong, Hon Shing Ong, Hon Shing Ong, Hon Shing Ong, Stephanie Shuang Lang, Hla Myint Htoon, Hla Myint Htoon, Howard Cajucom-Uy, Hui Chen Charmaine Chai, Hui Chen Charmaine Chai, Marcus Ang, Marcus Ang, Anshu Arundhati, Anshu Arundhati, Anshu Arundhati, Jodhbir S. Mehta, Jodhbir S. Mehta, Jodhbir S. Mehta

“…Cox multiple regression analysis showed male gender (p = 0.023), PK regraft (p = 0.003), regraft rejection (p = 0.003), and initial graft indications of pseudophakic bullous keratopathy (p = 0.005) and aphakic bullous keratopathy (p = 0.004) to be risk factors for regraft failure, while longer time to regraft was associated with decreased risk of failure (p = 0.013).ConclusionPerforming EK for failed optical PK or EK significantly improved regraft survival compared to repeat PK. …”
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People’s knowledge, attitudes, and conflicts with carnivores in central hills, Sri Lanka by Ashan Thudugala, Hem Bahadur Katuwal, Nalindra Laxman, Vishwa Dushmantha, Ravindi Menikrama, Harsha Dissanayake, Chameera Dilshan, Ru-Chuan He, Rui-Chang Quan

“…The ability to identify carnivores was significantly influenced by distance to the forest, gender, and education level. Respondents demonstrated a strong understanding of environmental laws, including forest and wildlife regulations and the penalties associated with killing species. …”
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Knowledge, attitudes and practices of healthcare workers towards COVID-19 in three states of Nigeria in 2022 by Alash’le Abimiku, Nifarta Andrew, Elima Jedy-Agba, Rita Okonkwo, Olumide Okunoye, Oyewole Oyedele, Martin Edun, Ugochi Ezenwelu, Asmau Aminu-Alhaji, Aondoakura Kombu, Timothy Attah, Jibreel Jumare, Kenneth Enwerem, Sophia Osawe, Victor Ejeh, Michaela Udioh, Okame Okah-Avae, Elonna Obak, Olusola Anuoluwapo Akanbi, Mary Okoli, Nnaemeka C Iriemenam, McPaul Okoye

“…Socio-demographic factors associated with satisfactory attitude towards COVID-19 were age group, gender, marital status, vaccination status, and satisfactory knowledge (p&lt;.05). …”
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Development of a Predictive Model of Occult Cancer After a Venous Thromboembolism Event Using Machine Learning: The CLOVER Study by Anabel Franco-Moreno, Elena Madroñal-Cerezo, Cristina Lucía de Ancos-Aracil, Ana Isabel Farfán-Sedano, Nuria Muñoz-Rivas, José Bascuñana Morejón-Girón, José Manuel Ruiz-Giardín, Federico Álvarez-Rodríguez, Jesús Prada-Alonso, Yvonne Gala-García, Miguel Ángel Casado-Suela, Ana Bustamante-Fermosel, Nuria Alfaro-Fernández, Juan Torres-Macho

“…The final CatBoost model included, among the top 15 variables to predict hidden malignancy, age, gender, systolic blood pressure, heart rate, weight, chronic lung disease, D-dimer, alanine aminotransferase, hemoglobin, serum creatinine, cholesterol, platelets, triglycerides, leukocyte count and previous VTE. …”
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Sedentary Behavior and Its Association With Psychological Well-Being and Sleep Quality in Adolescents: Evidence from a Propensity Score Analysis by Zhang L, Zhao S, Zhao S, Zheng H, Ke Y, Yang W, Lei M

“…Propensity scores matching analysis was employed to investigate the associative relationship between sedentary lifestyles and the measured outcomes.Results: Prior to propensity scores matching, significant differences were observed in baseline characteristics between participants with and without sedentary lifestyles, including gender (P=0.01), dietary habits (P< 0.001), mobile device usage (P< 0.001), stress events (P=0.001), physical activity (P< 0.001), and chronic diseases (P=0.024). …”
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Phenotypic Presentation of Children with Joint Hypermobility: Preclinical Signs by Mateus Marino Lamari, Neuseli Marino Lamari, Michael Peres de Medeiros, Gerardo Maria de Araújo Filho, Adriana Barbosa Santos, Matheus Gomes Giacomini, Vitor Roberto Pugliesi Marques, Eny Maria Goloni-Bertollo, Érika Cristina Pavarino

“…The majority of the total sample has BS > 6, with a significant female gender influence. Among those with a history of occasional joint dislocations and subluxations, half of them have the highest BS scores.…”
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Factors associated with attention-deficit/hyperactivity disorder among Tunisian children by Asma Guedria, Asma Guedria, Asma Guedria, Mohamed Guedria, Manel Ben Fredj, Manel Ben Fredj, Randaline Ayoub, Randaline Ayoub, Randaline Ayoub, Hela Ben Abid, Hela Ben Abid, Hela Ben Abid, Ahmed Mhalla, Ahmed Mhalla, Ahmed Mhalla, Hela Slama, Hela Slama

“…They were randomly selected and matched for age and gender. A literature-based questionnaire assessing the socio-demographic data, biological and environmental factors associated with ADHD was administered to the parents. …”
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Infections, autoimmunity and immunodeficiencies are the leading etiologies of non-cystic fibrosis bronchiectasis in adults from the southwest of Colombia. by Andrés F. Zea-Vera, Carlos Andrés Rodríguez, Sebastián Giraldo, Mario Alejandro Chacón, Luis Fernando Guerrero, Ricardo Mosquera, Raúl Andrés Vallejo, Fabio Samir Vargas, María Andrea García, María A. Rengifo, Anilza Bonelo, Maximiliano Parra

“…Postinfectious (34.6%) and immune disorders (25.3%), represented by autoimmunity (13.6%) and immunodeficiency (11.7%), were the leading causes. Gender differences were noted in autoimmune (females: 18.8% versus males: 6.1%, p = 0.021) and immunodeficiency-related bronchiectasis (males: 21.2% versus females 5.2%, p = 0.002). …”
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Cognitive impairment in a primary healthcare population: a cross-sectional study on the island of Crete, Greece by Panagiotis Simos, Simeon Panagiotakis, Joanna Moschandreas, Dimitrios Boumpas, Antonios Konstantinos Bertsias, Ioanna Tsiligianni, Sophia Papadakis, Ioannis Zaganas, George Duijker, Emmanouil K Symvoulakis, Polyvios Papadokostakis, Kornilia Makri, Eliza Iatraki, Chariklia Tziraki, Maria Basta, Alexandros Vgontzas, Christos Lionis

“…Low MMSE scores were detected in 20.2% of participants; 25.9% for females vs 12.8% for males; p&lt;0.0001. Female gender (adjusted OR (AOR)=2.72; 95% CI 2.31 to 3.47), age (AOR=1.11; 95% CI 1.10 to 1.13), having received only primary or no formal education (AOR=2.87; 95% CI 2.26 to 3.65), alcohol intake (AOR=1.19; 95% CI 1.03 to 1.37), reporting one or more sleep complaints (AOR 1.63; 95% CI 1.14 to 2.32), dyslipidaemia (AOR=0.80; 95% CI 0.65 to 0.98) and history of depression (AOR=1.90; 95% CI 1.43 to 2.52) were associated with low MMSE scores.Conclusions This study identified a relatively high prevalence of low MMSE scores among persons attending PHC practices in a southern European community setting and associations with several known risk factors.…”
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Hubungan Faktor Risiko Terhadap Kejadian Sindroma Koroner Akut pada Pasien Dewasa Muda di RSUP Dr. M. Djamil Padang by Anggita Tiara Pramadiaz, Muhammad Fadil, Henny Mulyani

“…The prevalence of this disease </em><em>has </em><em>increase</em><em>d related to</em><em> </em><em>risk factors</em><em>,such as</em><em>; gender, family history, diabetes mellitus, hypertension</em><em> </em><em> and smoking. …”
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Wealth-based inequalities in tuberculosis prevalence among households having children and young adults in India: insights from Indian demographic and health surveys (2015–2021) by Saurabh Singh, Quazi Syed Zahiruddin, Sorabh Lakhanpal, Suhas Ballal, Sanjay Kumar, Mahakshit Bhat, Shilpa Sharma, M Ravi Kumar, Yogesh Kumar Dhandh, Sarvesh Rustagi, Mohammed Alissa, Muhammad A. Halwani, Mohammed Garout, Hayam A Alrasheed, Maha F. Al-Subaie, Nawal A. Al Kaabi, Ali A. Rabaan, Sanjit Sah, Muhammed Shabil, Mahalaqua Nazli Khatib, Prakasini Satapathy

“…Unclean fuel is the most significant determinant of wealth-based inequality in TB, contributing to nearly 2/5th (18.5% in NFHS-4) of the observed inequality. Notably, gender did not significantly influence TB prevalence. …”
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The expression of MALAT1, plasma brain natriuretic peptide, and Tei index in sepsis-induced myocardial injury by Guangqing Huang, Wenzi Yang, Xu Zhao, Yong Bai, Xing Jiang, Jie Liu

“…Results In terms of general information, there were no significant differences in gender, age, BMI, mean arterial pressure, systolic pressure, diastolic pressure, respiratory rate, oxygenation index, basic diseases and infection site between the two groups (P > 0.05). …”
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Collagen turnover biomarkers to predict outcome of patients with biliary cancer by Leonard Kaps, Muhammed A. Genc, Markus Moehler, Stephan Grabbe, Jörn M. Schattenberg, Detlef Schuppan, Rasmus Sund Pedersen, Morten A. Karsdal, Philipp Mildenberger, Annett Maderer, Nicholas Willumsen

“…Associations with survival outcomes remained significant after adjusting for relevant risk factors (CA 19–9 and CEA at baseline, age, presence of metastases, weight, height and gender). Conclusion The collagen turnover markers PRO-C8, C3M, PRO-C3 and the established biomarker CA 19–9 were prognostic for OS in patients with BTC while only PRO-C8 was also predictive for PFS. …”
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Gut health-promoting foods intake in Argentine adults: The impact of knowledge, socio-demographic factors, and clinical-nutritional health by Georgina Noel Marchiori, Mayra Ainelén Loyola, Clara Marián Levy Sánchez, María Daniela Defagó, María Georgina Oberto

“…A suitable knowledge was associated with increased chances of consuming probiotic nutraceuticals and fermented foods. Female gender, age, being in a couple, recent antibiotic use, a history of medical conditions associated with higher probiotic nutraceuticals intake, and overweight were associated with a lower intake likelihood. …”
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