Fatigue after subarachnoid haemorrhage: a study of patients with good clinical outcome by G. Makarevičius, K. Pilypaitė, G. Terbetas, G. Šustickas, G. Bulotienė

“…Total of 30 patients participated in our study: 20 female (66.67%) and 10 male (33.33%), median age 47 years (range 29-68). The median duration between SAH and fatigue evaluation was 37.5 months (range 11-46). …”
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The Relationship between H. pylori Infection and Osteoporosis in Japan by Daisuke Asaoka, Akihito Nagahara, Mariko Hojo, Hitoshi Sasaki, Yuji Shimada, Takashi Yoshizawa, Taro Osada, Sumio Watanabe

“…Bivariate analysis showed that age, being female, BMI, alcohol, smoking, H. pylori, bone-specific ALP, PUD, and EGA were related to osteoporosis. …”
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Relationship of serum irisin levels, physical activity, and metabolic syndrome biomarkers in obese individuals with low-calorie intake and non-obese individuals with high-calorie i... by Jalal Hejazi, Bijan Ghobadian, Nasrin Ghasemi, Hossein Sadeh, Nasim Abedimanesh, Mehran Rahimlou

“…The mean age of the participants in the obese and non-obese groups was 38.33 ± 14.88 and 30.24 ± 13.37 years, respectively. …”
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Community perceptions and determinants of obstetric fistula across gender lines by Wagaye Fentahun Chanie, Aster Berhe, Ambaye Dejen Tilahun, Bikis Liyew, Chernet Baye, Tarekegn Asemaw Akalie, Destaye Shiferaw Alemu, Miteku Andualem Limenih

“…Those under 20 years (AOR: 7.7; 95%CI: 2.3–28.6), aged 20–35 (AOR: 3.9; 95%CI: 1.8–8.5), and aged 36–50 (AOR: 6.36; 95%CI: 3.0–14.1) were more likely to have a favourable attitude compared to those over 50 years. …”
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Budesonide in treatment of alcohol-induced severe hepatitis: results of randomized trial by I. I. Komkova, M. V. Mayevskaya, V. T. Ivashkin

“…The first group included 17 patients (7 men, 10 women, mean age 46,53±11,01 years). Median of daily alcohol dose was 77 g; 25th and 75th percentiles were 55 and 96 g; duration of intake 13,41±8,55 years. …”
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Similarities and Differences between Clavicular Bacterial Osteomyelitis and Nonbacterial Osteitis: Comparisons of 327 Reported Cases by Nan Jiang, Ping Zhang, Wei-ran Hu, Zi-long Yao, Bin Yu

“…Compared with BO, clavicular NBO favored females (P<0.001) and age below 20 years (P<0.001) and mostly presented in a chronic phase (disease term exceeding 2 months) (P<0.001). …”
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The flow pattern of neuro-pediatric emergency visits during COVID-19 pandemic by Imad M. Khojah, Osama Y. Muthaffar, Anas S. Alyazidi, Maha K. Alghamdi, Mayar Alhuqaili, Hassan A. Alalawi, Ohud T. Alharbi, Latifa A. Almuharib

“…Patients were grouped into pre- and post-pandemic visits according to their age group. We identified demographic and clinical variables. …”
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Differences between frequent emergency department users in a secondary rural hospital and a tertiary suburban hospital in central Japan: a prevalence study by Makoto Kaneko, Masashi Okubo, Michael D Fetters, Machiko Inoue, Allison K Cullen Furgal, Benjamin F Crabtree

“…At the patient level, after adjusting for age, gender and receiving public assistance, older age (OR 1.01, 95% CI: 1.00 to 1.02) and receiving public assistance (OR 7.19, 95% CI 2.87 to 18.07) had an association with frequent ED visits. …”
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Acute kidney injury in critically ill COVID-19 patients in a tertiary hospital: short and long-term kidney and patient outcomes by Juliana Alves Manhães de Andrade, Gisele Meinerz, Raphael Palma, Eduardo Rech, Marco Antônio Vinciprova Dall’Agnese, Cristiane Bundchen, Fernanda Bordignon Nunes, Gisele Branchini, Elizete Keitel

“…Results: 360 patients were included, 60.6% were male, median age was 66.0 (57.0–72.0) years, 38.1% had diabetes, and 68.6% had hypertension. …”
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Hospitalisation from seasonal influenza among persons with type 1 diabetes: a cohort study from the Swedish National Diabetes Register by Katarina Eeg-Olofsson, Björn Eliasson, Hanne Krage Carlsen, Lena Svensson, Magnus Gisslén, Elin Allansson Kjölhede, Oliver Martyn

“…Persons with T1D had an unadjusted HR 4.7 (95% CI 4.0 to 5.5) for risk of hospitalisation from influenza during the study period and HR 3.4 (95% CI 2.9 to 4.0) when adjusted for age, sex, socioeconomic factors and chronic medical conditions at baseline. …”
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Deep learning based decision-making and outcome prediction for adolescent idiopathic scoliosis patients with posterior surgery by Kai Chen, Xiao Zhai, Ziqiang Chen, Haojue Wang, Mingyuan Yang, Changwei Yang, Yushu Bai, Ming Li

“…A total of 425 patients with an average age of 14.60 ± 2.08 years, including 77 males and 348 females, were enrolled in this study. …”
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Assessment of Risk Factors of Chronic Kidney Disease among Patients Attending Medical City Complex by Nabaa Wisam Sabri, Buthaina Ateyah Rashid, Raheem Saber Shwiehk, Azad H. Mahdy

“…The findings show that the highest percentage (20%) was within the age group 50–59 years old in the case study group, with a mean age of patients and controls of 47.71 ± 17.42 and 48.54 ± 17.43 years, respectively, and there were significant sociodemographic risk factors for CKD with gender and residency (p. value < 0.05). …”
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A Metabolic Gene Signature to Predict Overall Survival in Head and Neck Squamous Cell Carcinoma by Zeng-Hong Wu, Yun Tang, Yue Zhou

“…On the other hand, the AUC for age, gender, stage, T, M, N, smoking, and HPV16-pos was 0.599, 0.531, 0.622, 0.606, 0.616, 0.550, 0.614, 0.519, and 0.397, respectively, in the GEO dataset. …”
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Exploring the Needs and Preferences of Users and Parents to Design a Mobile App to Deliver Mental Health Peer Support to Adolescents With Type 1 Diabetes: Qualitative Study by Titilola I Yakubu, Poonamdeep Jhajj, Samantha Pawer, Nicholas C West, Shazhan Amed, Tricia S Tang, Matthias Görges

“…While digital health solutions have been increasingly used to address emotional health in diabetes, these technologies may not uniformly meet the unique concerns and technological savvy across all age groups. ObjectiveThis study aimed to explore the mental health needs of adolescents with T1D, determine their preferred modalities for app-based mental health support, and identify desirable design features for peer-delivered mental health support modeled on an app designed for adults with T1D. …”
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Analysis and prediction of subarachnoid hemorrhage burden in global, China, and Japan by Peng-Fei Ding, Chen-Jie Xing, Yong-Yue Gao, Chun-Hua Hang, Zong Zhuang, Wei Li

“…Results Globally, age-standardised incidence, mortality, and DALYs rates was declined from 1990 to 2019. …”
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Career Adaptability and Career Construction as Mediating Variables Between Hardiness and Vocational Identity by Enrique Merino-Tejedor, María José Serrano-Fernández, Maria Boada-Cuerva, Beatriz Sora

“…The Spanish subsample was composed of 602 participants, 34% were men (N = 207), and 66% were women (N = 395). The average age was 21.69. The Brazilian subsample was composed by 421 participants, 39% were men (N = 165), and 61% were women (N = 256), with an average age of 24.84. …”
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Pain Catastrophizing Is Related to Static Postural Control Impairment in Patients with Nonspecific Chronic Low Back Pain: A Cross-Sectional Study by Chanjuan Zhang, Zhou Zhang, Yuelong Li, Chenyang Feng, Haiqi Meng, Yang Gao, Wai Leung Ambrose Lo, Chuhuai Wang

“…Static postural control was associated with pain catastrophizing, voluntary activation of TrA, and age in participants with NSCLBP. This indicated that pain catastrophizing may affect postural control and should be considered when interpreting balance test results and managing NSCLBP.…”
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The Effect of Resistance Strength Training on Muscle Cross Education: A Meta analysis by Yuan Hao Dong, Jiong Luo

“…Two evaluators independently screened research literature on resistance strength training improving upper and lower limb muscle strength and hypertrophy in various age groups based on inclusion and exclusion criteria. …”
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A girl with intragenic variants in MARS2 and a chondrodysplasia phenotype by Hiroyuki Iijima, Yuko Tsujioka, Yoshiyuki Tsutsumi, Gen Nishimura, Yasushi Okazaki, Kei Murayama, Mitsuru Kubota, Akira Ohtake

“…Radiological examination at ages 2 and 4 years demonstrated a skeletal phenotype: platyspondyly with anterior beaking of the vertebral bodies; large proximal femoral epiphyses; and mild brachymesophalangy. …”
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Estimating health state utilities for aromatic L-amino acid decarboxylase deficiency (AADCd) in the United States by Berrin Monteleone, Katie Forster, Gin Nie Chua, Rongrong Zhang, Andrew Lloyd, Paul Castellano, Ioannis Tomazos

“…Results Following revision of the vignettes, 120 participants completed the TTO task (mean age: 47 years; 50% female; 70% White); characteristics were not significantly different from US population norms in terms of age, sex, race or ethnicity. …”
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