Life History Strategies of the Winter Annual Plant <i>Echinops gmelinii</i> (Asteraceae) in a Cold Desert Population by Yanli Wang, Xinrong Li, Jiecai Zhao

“…To understand the inter- and intra-annual population dynamics of <i>E. gmelinii</i> in its cold desert habitats, we conducted long- and short-term demographic studies to investigate the timing of germination, seedling survival, soil seed bank and seed longevity of natural populations on the fringe of the Tengger Desert. …”
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Expressed emotions among caregivers of individuals with schizophrenia and associated factors: a multihospital-based survey in Southern Thailand by Tanaporn Kaewchum, Jarurin Pitanupong, Laddaporn Tepsuan, Puangsan Yakkaphan, Pakpoom Maneepongpermpoon

“…The study utilized four questionnaires: (1) Demographic inquiry, (2) The Thai Expressed Emotion Scale (TEES), (3) The Thai General Health Questionnaire (GHQ-12), and (4) The Zarit Burden Interview (ZBI). …”
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Iranian Pediatric COVID-19 Epidemiology and Clinical Characteristics by Shahnaz Armin, Mohammadreza Mirkarimi, Zahra Pourmoghaddas, Marjan Tariverdi, Azadeh Jafrasteh, Noushin Marhamati, Armin Shirvani, Abdollah Karimi, Sedigheh Rafiei Tabatabaei, Roxana Mansour Ghanaei, SeyedAlireza Fahimzad, Fariba Shirvani, Seyedeh Mahsan Hoseini-Alfatemi

“…This study is conducted from March 2020–March 2021 by using the medical records of hospitalized confirmed COVID-19 children younger than 18 years in five cities of Iran: Tehran, Ahwaz, Isfahan, Bandar-Abbas, and Khorramabad. In addition to demographic and epidemiological data, we also studied clinical signs and treatments. …”
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Types of Complications and Associated Factors in Patients Undergoing Permanent Cardiac Pacemaker Implantation: A Systematic Review by Sugiharto F, Asmara AD, Sari WP, Freitas LA, Ramdani D, Anna A, Nuraeni A, Trisyani Y, Purnomo Y

“…The analysis showed that there are five categories of factors which influences the incidence of complications in patients after PPM implantation: demographic, pre-existing clinical, comorbid disease, procedural, operator experience, and activity factors. …”
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TcPO2 as a Predictor of Limb Salvage or Amputation in Patients of Critical Limb Ischemia by Rahul Merkhed, Vikram Patra, Rishi Dhillon, Rohit Mehra, CVNM Dattatreya, Ramandeep Kaur, Gagandeep Singh Vohra, Surjeet Dwivedi

“…Additionally, exploring the influence of various comorbidities and demographic factors could refine predictive models, offering tailored interventions for patients with CLTI.…”
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Nomogram for predicting mild cognitive impairment in Chinese elder CSVD patients based on Boruta algorithm by Yanzi Huang, Wendie Huang, Xiaoming Ma, Guoyin Zhao, Jingwen Kang, Huajie Li, Jingwei Li, Jingwei Li, Jingwei Li, Jingwei Li, Jingwei Li, Jingwei Li, Shiying Sheng, Fengjuan Qian

“…This study has produced a succinct nomogram integrating demographic and clinical indicators for medical application.…”
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Comorbidity patterns and mortality in atrial fibrillation: a latent class analysis of the EURopean study of Older Subjects with Atrial Fibrillation (EUROSAF) by Huah Shin Ng, Richard Woodman, Nicola Veronese, Alberto Pilotto, Arduino A. Mangoni

“…We identified comorbidity patterns and their association with mortality in multimorbid older AF patients with different multidimensional frailty.Methods Hospitalised adults aged ≥65 years with non-valvular AF were followed for 12 months in the multicentre EURopean study of Older Subjects with Atrial Fibrillation (EUROSAF). Demographic characteristics, coexisting medical conditions, use of medications including anticoagulants, and the Multidimensional Prognostic Index (MPI) were captured on discharge. …”
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Determinants of Exclusive Breastfeeding of Infants under Six Months among Cambodian Mothers by Sopheak Um, Ying Zhen Charissa Chan, Bunkea Tol, Heng Sopheab

“…We used existing data from the 2014 Cambodian Demographic and Health Survey (CDHS) to analyze 717 Cambodian mother-infant pairs. …”
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Enhancing trauma triage in low-resource settings using machine learning: a performance comparison with the Kampala Trauma Score by Mike Nsubuga, Timothy Mwanje Kintu, Helen Please, Kelsey Stewart, Sergio M. Navarro

“…By leveraging basic demographic and clinical data, these models could provide a foundation for improved resource allocation and patient outcomes, addressing the unique challenges of resource-limited settings. …”
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Severe Diabetic Ketoacidosis in Children with Type 1 Diabetes: Ongoing Challenges in Care by Simone Foti Randazzese, Mariarosaria La Rocca, Bruno Bombaci, Alessandra Di Pisa, Elèna Giliberto, Teresa Inturri, Daniel Militi, Fortunato Lombardo, Eloisa Gitto, Giuseppina Salzano, Stefano Passanisi

“…Incidence rates vary due to influences from geographic, socioeconomic, cultural and demographic factors. Pathogenesis is linked to insulin deficiency and an excess of counter-regulatory hormones, which disrupt glucose, protein, and lipid metabolism, causing hyperglycemia, ketosis, acidosis, dehydration, and electrolyte imbalances. …”
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Description of current status of implementation and management of cardiac arrest in China by Shuai Liu, Huadong Zhu, Nan Zhang

“…An online questionnaire with 56 questions was designed about demographic characteristics, management of cardiac arrest, compression, ventilation, treatment and medicine, as well as advanced life support and resuscitation skill training. …”
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Global, regional and national burden of pancreatic cancer and its attributable risk factors from 2019 to 2021, with projection to 2044 by Xiao Li, Yi Zhang, Zeyi Yan, Wenkai Jiang, Shaozhen Rui, Shaozhen Rui

“…The pancreatic cancer burden increased as the socio-demographic index increased. To 2044, the number of incident cases and deaths will be more than 875 thousand and 879 thousand, respectively.ConclusionThe disease burden of pancreatic cancer remains high, especially in high-income regions. …”
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Osteoarthritis of the knee joint and its association with metabolic syndrome: A case control study by Rohini Motwani, Arvind Kumar Bodla, Shravan Kumar Peddamadyam, Mrudula Chandrupatla, Nagesh Cherukuri, Maheshwar Lakkireddy, Gunvanti Rathod, Sai Ram Challa, Chowdavarapu Raghavendra Rao, Abhishek Arora, Srikanth Eppakayala, Arcot Reddy Vamsi Krishna

“…Data collection was done including demographic details, medical history, physical examinations, and laboratory tests. …”
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Psychological Impact on the Orthodontic Postgraduate Residents and Their Anxiety Level during the COVID-19 Pandemic by Hareem Sultan, Sameeruddin Shaikh, Sadaf Shaheen, Hana Pervez, Syed Adnan Ali, Saman Baseer

“…A questionnaire was circulated online through WhatsApp to the orthodontic residents enrolled in the four-year postgraduate training program across the country which comprised the following sections: demographic data, questions to test knowledge of COVID-19, self-grading of anxiety around performing routine orthodontic procedures, academic aspects of the training program, and residents’ thoughts on the current status of their training program in general during the pandemic. …”
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Antibiotics Resistance Pattern of Food-Borne Bacteria Isolated from Ice Cream in Bangladesh: A Multidisciplinary Study by Md Sohel, Moushumi Akter, Md. Fahmid Hasan, Shahin Mahmud, Mohammod Johirul Islam, Ashekul Islam, Khairul Islam, Abdullah Al Mamun

“…Kado and Liu method, with some modifications, was used to extract plasmid from the isolated bacteria and visualized through gel electrophoresis. The demographic characteristics showed that the degree of symptoms regarding microorganisms mediated disorders and rate of antibiotics intake in ice cream consumers were significantly higher than the nonconsumers. …”
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Association between cancer stigma and cervical cancer screening uptake among women of Dhulikhel and Banepa, Nepal. by Bandana Paneru, Aerona Karmacharya, Alina Bharati, Soniya Makaju, Bikram Adhikari, Dikshya Kafle, Sunila Shakya, Donna Spiegelman, Sangini Seth, Anne Stangl, Aamod Dhoj Shrestha, Archana Shrestha

“…Univariable and multivariable logistic regression were performed to assess the association between cancer stigma and cervical cancer screening uptake. We adjusted socio-demographic: age, ethnicity, occupation, religion and education, and reproductive health variables: parity, family planning user, age of menarche and age at first sexual intercourse during multivariable logistic regression.…”
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Factors Affecting the Presence of Renal Cortical Cysts in Kidney Donors by Sevim Nuran Kuşlu Çiçek, Amil Huseynov

“…Methods: This retrospective cohort study included 1012 living kidney donors, aged 18-87 years, who underwent renal transplant donor nephrectomy between 2008 and 2023. Data on demographic information, cyst characteristics, comorbidities, and associated risk factors were collected and analyzed using statistical methods, including Binary Logistic Regression Analysis. …”
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Association of AGTR1 A1166C and CYP2C9∗3 Gene Polymorphisms with the Antihypertensive Effect of Valsartan by Yi Liu, Xiaomu Kong, Yongwei Jiang, Meimei Zhao, Peng Gao, Xiao Cong, Yongtong Cao, Liang Ma

“…After adjustment for demographic and environmental factors, the CC + AC genotype of AGTR1 A1166C was markedly linked to better hypertension control with valsartan treatment compared to the AA genotype (odds ratio: 2.836, 95% confidence interval: 1.199–6.705, P = 0.018). …”
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The prevalence of episiotomy and associated factors at Shahrara Teaching Hospital in Kabul, Afghanistan by Parvin Golzareh, Sadaf Sultani, Erin M. Mann, Khair Mohammad Mohammadi

“…The study sample included all women at Shahrara Teaching Hospital with vaginal delivery during the first six months of 2023. Demographic and clinical information was gathered from medical records. …”
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Predictive and spatial analysis for estimating the impact of sociodemographic factors on contraceptive use among women living with HIV/AIDS (WLWHA) in Kenya: Implications for polic... by Menkeoma Laura Okoli, Samuel Alao, Somtochukwu Ojukwu, Nnadozie C Emechebe, Asuelimen Ikhuoria, Kevin E Kip

“…This study examines the association between sociodemographic factors and contraceptive use including the effect of clustering tendencies of these factors on contraceptive usage among WLWHA in Kenya.Methods Weighted multivariate logistic regression models were conducted to determine the association of sociodemographic factors on contraception use among WLWHA using the 2008–2009 Kenya Demographic Health Survey. Spatial autocorrelation techniques were used to explore clustering tendencies of these factors on contraception utilisation. …”
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