Longitudinal Changes of Axial Length and Associated Factors in Congenital Ectopia Lentis Patients by Jingxin He, Zhangkai Lian, Qianzhong Cao, Zhenzhen Liu, Charlotte Aimee Young, Xinyu Zhang, Danying Zheng, Guangming Jin

“…As for the nonsurgery group, younger baseline age (older age: β = −0.027, 95% CI: −0.048 to −0.007, and P=0.01) and longer baseline AL (β = 0.073, 95% CI: 0.023 to 0.122, and P=0.006) were associated with a higher change rate of AL. …”
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Assessment of the Relationship between Maxillary Posterior Teeth and Maxillary Sinus Using Cone-Beam Computed Tomography by Alaa Abdelqader Altaweel, Sami Mohammed Saad Sowairi, Ahmed Mohammed Saaduddin Sapri, Sama Abdulelah Saeedi, Asalah Hamad Alamri, Albtoul Ahmed Alnobi, Maha Fahad ALSharif, Ahmed Mohsen A Altokhi, Hisham Abbas

“…This retrospective study evaluated 539 cone-beam computed tomography (CBCT) radiographs of patients over 20 years of age. Patients were divided into four groups according to age: group I (20–30 years), group II (31–40 years), group III (41–50 years), and group IV (more than 50 years). …”
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Effects of lifetime feeding of hydrolyzed yeast to broiler breeders on egg production, quality, and hatchling attributes by Anderson N. Maina, Hagen Schulze, Elijah G. Kiarie

“…There were no (P>0.05) interactions between diet and BB age or the diet effects on response criteria. Broiler breeder age effect (P<0.05) was such that HDEP, ESBS, EST, hatchability declined whereas egg weight, in-ovo mortality, and chick to egg weight ratio increased with age. …”
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Clinical Epidemiological Look at Patients with Congenital Heart Disease: a Study that has Become a Priority by Jan O´neil González Ramos, Nancy González Vales, Eida María Mena Albernal, Elsy Roxana Geroy Moya, Nicolás Ramón Cruz Pérez, Annia Quintana Marrero

“…The variables analyzed were: age, sex, age at diagnosis, type of heart disease, type of interventricular and interatrial heart disease defect, maternal risk factors, fetal risk factors, extra cardiovascular malformations, clinical presentation, forms of defect resolution. …”
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Long Term School Based Deworming against Soil-Transmitted Helminths Also Benefits the Untreated Adult Population: Results from a Community-Wide Cross Sectional Survey by Paul M. Gichuki, Gabriel Mbugua, Edwin K. Kiplelgo, Tabitha W. Irungu, Charles Mwandawiro

“…Of the 13 STH infections, seven of the infections were of school going age (6-18 years), 5 were of preschool age (<6 years), and one was of adult age group (18>). …”
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Effects of Tank-Mix Adjuvants on Spray Performance Under Downwash Airflow Fields Using an Indoor Simulated UASS Spraying Platform by Supakorn Wongsuk, Yangfan Li, Zhaoyan Zhu, Mengran Yang, Hao Zhang, Li Zhang, Changling Wang, Xiongkui He

“…This study aimed to evaluate the impacts of adjuvant addition (AGE852B, AGE825, AGE809, and CCL846) on droplet size spectrum and spray deposition distribution with various rotor speeds and layouts, using an indoor simulated single-rotor/multi-rotor UASS spraying platform. …”
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Anemia and Associated Factors among Public Elementary School Children in Asella Town, Southeast Ethiopia: A Facility-Based Cross-Sectional Study by Ararso Hordofa Guye, Kasim Hansa, Kasahun Ketema, Meseret Moroda, Dame Banti Shambi

“…There is limited evidence of the magnitude of anemia and associated factors in school-age children in Ethiopia, including the study area. …”
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A Cross-Sectional Trait Versus State Biomarker Analysis of Inflammatory Cytokines and miRNAs in Patients with Major Depressive Disorder by Christopher Rockson, Chandrashekaran Girish, Harivenkatesh Natarajan, Vikas Menon

“…FDRs (model 3) after adjusting for age, gender, and BMI as covariates. Results: The study involved 50 patients with MDD (mean age = 34.7 ± 10.1 years), 31 FDRs (mean age = 32.7 ± 12.2 years), and 50 UHCs (mean age = 34.1 ± 10.3 years). …”
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Infant and Young Child Feeding (IYCF) Practices in Rural and Urban Regions of Indonesia by Demsa Simbolon, Desri Suryani, Heidy Dayanti, Agustina Setia, Tobianus Hasan

“…The risk factors for the failure of IYCF practice in urban areas are socioeconomic, maternal age, and age at first marriage. The poorest socioeconomic is at risk of 2.4 times, maternal age > 35 years are at risk of 1.5 times, age at first marriage is less than 21 years at risk of 2.1 times carrying out IYCF practices not according to recommendations compared to the comparison group. …”
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Metabolic Profile in a Cohort of Young Sicilian Patients with Klinefelter’s Syndrome: The Role of Irisin by Stefano Radellini, Valentina Guarnotta, Vincenzo Sciabica, Giuseppe Pizzolanti, Carla Giordano

“…The purpose of our real-life observational study was to investigate the metabolic and anthropometric parameters in a population of patients with Klinefelter syndrome compared to a group of healthy age-matched subjects. Methods. In our study, 25 consecutive Caucasian adult outpatients (age range 21–52 years, mean age 32.9 ± 12.2) with KS in testosterone replacement therapy and 30 healthy men (age range 25–45 years, mean age 32.4 ± 7.62) were studied. …”
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Pubertal development in adolescents with menstrual disorders by Alberto Roteta Dorado, Pilar Almaguer Sabina, Hussimy Marchena Morera, Maidelin Conde Cueto, Mónica González Brito

“…Procedure: During the first consultation was found in the following medical records: age, onset of puberty, age at menarche, breast development and pubic hair development. …”
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Health status of perimenopausal and postmenopausal women at Mangalore, Karnataka, India by C V Divya, Vasantkumar V Bhanushali, E Vinu, K S Premlal

“…There is a significant association between age at menopause (P < 0.05) and factors such as religion, socioeconomic status, age at menarche, length of menstrual cycles, number of bleeding days per cycle, history of oral contraceptive pill use, parity, age at first childbirth, and occupation (beedi workers). …”
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Psychogeriatric experts’ experiences with risk factors of non-suicidal and suicidal self-injury in older adults: A qualitative study by Lisa Van Hove, Imke Baetens, Steven Vanderstichelen

“… While research has highlighted potential age-related differences in risk factors of (N)SSI, studies on such distinct risk factors in older adults are scarce. …”
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Syphilis and Urogenital Diseases during Pregnancy and Developmental Defects of Enamel: A Brazilian Prenatal Cohort (BRISA) by Elisa Miranda Costa, Judith Rafaelle Oliveira Pinho, Maria da Conceição Pereira Saraiva, Cecília Cláudia Costa Ribeiro, Claudia Maria Coêlho Alves, Erika Barbara Abreu Fonseca Thomaz

“…Material and Methods: This study is a prospective cohort – the Brazilian Ribeirão Preto and São Luís Cohort Study (BRISA) – including 865 mother-child dyads, evaluated in three moments: prenatal care (22nd and 25th weeks of gestational age); baby birth; and between 12.3-36 months of age. …”
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Family Aggregation and Risk Factors for Breast Cancer in Affected Individuals by Julio Armando Sánchez Delgado, Nailé Edita Sánchez Lara

“…The variables were: personal and family history of oncological disease, age, menarche, age at menopause, contraceptive pill ingestion, first child age of birth, breastfeeding, alcohol intake, smoking, family history. …”
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Teenage pregnancy characterization from a medical office. Cienfuegos 2009 – 2023 by Mileidy Portal Amador, Alina Esther González Hermida, María Eugenia Monjes Pérez, Beatriz Santos González

“…<p><strong>Foundation</strong>: several authors have showed an increase in adolescent age fertility. Teenage pregnancy is a health problem and a worldwide concern. …”
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Mortality of Post-COVID-19 Condition: 2025 Update by Giuseppe Lippi, Fabian Sanchis-Gomar

“…Demographic factors such as gender, age, and place of death were also extracted. Results: By December 2024, 2653 US deaths were classified under the ICD-10 code U09.9, corresponding to an age-adjusted mortality rate of 0.089 × 100,000. …”
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Meningitis In Newborns With Late-Onset Sepsis; A Critical Insight by Sobia Naveed, Madiha Fayyaz, Somayya Siddiqa, Asvar Samaa, Rahat Rahman, Zartasha Sial

“…Among these children 122(58.1%) were males, while 88(41.9%) were females. The age range in this study was from 7 to 28 days with mean age of 17.7±6.3 days. …”
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Challenges in Patients with Trisomy 21: A Review of Current Knowledge and Recommendations by Jennifer Robinson, Manca Tekavčič Pompe, Christina Gerth-Kahlert

“…We recommend the following examination schedule for these patients: first, ophthalmological examination at 6–12 months of age, then once in 3–6 months for children under 2 years of age, once in 6 months for children 2–5 years of age, annually for children 5–10 years of age, and thereafter, to be decided on an individual basis depending on the presenting ocular abnormalities of the patient.…”
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Prevalence and initial diagnostic evaluation of smoking in adolescents from Moa, Holguín by Alexander Torres Molina

“…The study variables: age, sex, smoker, ex-smoker, age of initiation, years of smoking, number of cigarettes consumed per day, smoking load, dependence and motivation.…”
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