The effects of deprivation, age, and regional differences in COVID-19 mortality from 2020 to 2022: a retrospective analysis of public provincial data by Anqi A. Chen, Elizabeth M. Renouf, Charmaine B. Dean, X. Joan Hu

“…In this study, we aim to establish the relationship of counts of deaths and hospitalizations caused by COVID-19 over time across 34 public health units in Ontario, Canada, taking demographic, geographic, socio-economic, and vaccination variables into account. …”
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The impact of delay in HIV diagnosis on patient survival: analysis of HIV infection trends from 2007 to 2023 by Riyaz A. Shaik, Sharan K. Holyachi, Mohammad S. Ahmad, Mohammed Miraj, Syed Yousaf Kazmi, Mohammad Rehan Asad, Ali Faraz, Mirwais Ramozi, Ritu Kumar Ahmad

“…Of the 11,799 patients, 8,092 with complete data were included in the final analysis. Demographic and clinical variables including age, gender, HIV status, treatment, laboratory parameters, TB infection and survival were investigated. …”
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Patterns of self-harm presentations at a Tertiary Urban Hospital in Kenya: A retrospective 5-year study (2018-2022). by Willie Njoroge, Catherine Gitau, Everline Onchari, Linnet Ongeri, Linda Khakali, Murad Khan, Zul Merali, Lukoye Atwoli, Jasmit Shah

“…This study aims to explore the socio-demographic and clinical profile of patients presenting with self-harm and determine the common self-harm patterns at a tertiary facility in Kenya.…”
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Effect of gut microbiota changes on cytokines IL-10 and IL-17 levels in liver transplantation patients by Mohamed Abdel-Raoof Fouda, Mohamed Abdel-Wahhab, Ahmed Esmail Abdelkader, Mohsen El-Sayd Ibrahim, Taher Abozeid Elsheikh, Hisham Mohammad Aldeweik, Nora Elfeky

“…The examination of patient demographic and clinical data revealed no significant correlations between sex, age, or diagnostic categories and gut microbiota composition. …”
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The impact of self-reported burnout and work-related quality of life on nurses' intention to leave the profession during the COVID-19 pandemic: A cross-sectional study by Susan McGrory, John Mallett, Justin MacLochlainn, Jill Manthorpe, Jermaine Ravalier, Heike Schroder, Denise Currie, Patricia Nicholl, Rachel Naylor, Paula McFadden

“…Regression analysis reveale that for WRQoL, lower general wellbeing and job-career satisfaction scores predicted intentions to leave when controlling for demographic variables (p < 0.001). When burnout was added to the regression model, both work-related and client-related burnout were predictive of intentions to leave (p < 0.001). …”
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Factors impacting hospitalisation and related health service costs in cancer survivors in Australia: Results from a population data linkage study in Queensland (COS‐Q) by Katharina M. D. Merollini, Louisa G. Collins, Andrew T. Jones, Joanne F. Aitken, Michael G. Kimlin

“…Generalised linear models were fitted to explore associations between socio‐demographic (age, sex, country of birth, marital status, occupation, geographic remoteness category and socio‐economic index) and clinical (cancer type, year of/time since diagnosis, vital status and care type) factors with mean annual hospital costs and mean episode costs. …”
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Training received, knowledge, and use of Silver Diamine Fluoride among Italian dentists: a nationwide survey by Claudia Salerno, Giulio Conti, Silvia Cirio, Cinzia Maspero, Andrea Senna, Guglielmo Campus, Maria Grazia Cagetti

“…The questionnaire included 46 questions on participants ‘ demographic characteristics, training received, clinical knowledge of SDF, and attitudes and behaviours regarding its use. …”
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Identifying high-risk population segments for underweight, overweight, and obesity among reproductive-age women in sub-Saharan Africa by Amare Abera Tareke, Amare Abera Tareke, Anissa Mohammed, Amare Muche, Yeshimebet Ali

“…This study aimed to identify risk groups for malnutrition among women of reproductive age in SSA countries and prioritize intervention areas.MethodsThis analysis utilized data from 247,911 reproductive-age women across recent demographic and health surveys conducted in 33 SSA countries. …”
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A machine learning-based model for predicting paroxysmal and persistent atrial fibrillation based on EHR by Yuqi Zhang, Sijin Li, Peibiao Mai, Yanqi Yang, Niansang Luo, Chao Tong, Kuan Zeng, Kun Zhang

“…Methods We collected demographic data, medication use, serological indicators, and baseline cardiac ultrasound data of all included subjects, totaling 50 variables. …”
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The impact of restrictive measures to prevent the spread of COVID-19 on students’ lifestyle by O.O. Vinogradov, O.I. Guzhva

“…The need to develop effective strategies to overcome the social, economic, physiological and psychological consequences of the COVID-19 pandemic requires targeted research on the impact of restrictive measures on the lifestyle of people of different ages and socio-demographic groups, including youth, as the most able and active population. …”
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Prevalence, influencing factors, and prediction model construction of anemia in ankylosing spondylitis based on real-world data: An exploratory study. by Yifan Gong, Kun Yang, Zhaoyang Geng, Hongxiao Liu

“…Clinical data of AS collected from the CERTAIN between March 2022 and September 2023 were analyzed. Demographic information, clinical assessment scales, and laboratory test results of the patients were collected. …”
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Descriptive retrospective cross-sectional study of rehabilitation care for poststroke users in Québec during the COVID-19 pandemic by Palak Vakil, Perrine Ferré, Johanne Higgins, Louis-David Beaulieu, Marie-Helene Milot, Marie-Hélène Boudrias

“…This study aimed to describe the impact of the pandemic on rehabilitation care indicators for poststroke users with (COV+) and without (COV−) COVID-19 infection in designated rehabilitation centres compared with those admitted in the previous year (pre-COV).Method A retrospective analysis of 292 medical files was performed in 3 rehabilitation centres. Demographic characteristics were collected, as well as indicators routinely collected in acute care and rehabilitation such as length of stay (LOS), the Functional Independence Measure and a number of physical/occupational therapy (PT/OT) sessions. …”
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The effect of vitamin D and vitamin A supplementation on T cell levels of patients with pneumosepsis: A double-blind, randomized clinical trial by Abolfazl Jokar, Alireza Sistani, Ghasem Mosayebi, Atefeh Poyandeh

“…Methods: This double-blind clinical trial enrolled 84 pneumosepsis patients who were randomly assigned to four groups after demographic data collection. Intervention: Group 1 received standard treatment plus 300,000 IU of vitamin D and 50,000 IU of vitamin A. …”
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Academic burnout of digital natives and social sustainability: prevalence and risk factors by Sonja Ivančević, Veljko Dmitrović, Marko Ćirović, Nataša Petrović

“…Therefore, the study proposes a conceptual model exploring the impact of seven background factors (demographic and situational) on four dimensions of academic burnout, as well as students’ overall burnout. …”
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Protocol for prognosticating PPD using EEG changes during labor pain by uterine contractions: a prospective cohort study in the first stage of labor by Yan Wang, Wan-Ying He, Chang’ an A. Zhan, Shi-Lei Pan, Wen Wu, Feng-Xian Li, Hong-Fei Zhang

“…At baseline, online or paper-based questionnaires, including the Edinburgh Postnatal Depression Scale (EPDS) and demographic data, will be collected when the parturient is admitted to labor. …”
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Prevalence and Risk Factors for Minor Hallucinations in Patients with Parkinson’s Disease by Min Zhong, Ruxin Gu, Sha Zhu, Yu Bai, Zhuang Wu, Xu Jiang, Bo Shen, Jun Zhu, Yang Pan, Jun Yan, Li Zhang

“…Patients and Methods. Demographic information was obtained from 262 patients with PD, and a series of clinical assessment questionnaires were provided. …”
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The prevalence of anemia and the factors associated with its severity among children aged 6-59 months in Ghana: A multi-level ordinal logistic regression. by Yordanos Sisay Asgedom, Aklilu Habte, Beshada Zerfu Woldegeorgis, Mengistu Meske Koyira, Beimnet Desalegn Kedida, Bezawit Melak Fente, Amanuel Yosef Gebrekidan, Gizachew Ambaw Kassie

“…<h4>Methods</h4>This study used data from the 2022 Ghana Demographic and Health Survey (GDHS) and included a weighted total sample of 3585 children aged 6-59 months. …”
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Assessing the feasibility of using publicly available data sources to identify healthcare data discrepancies and enhance service delivery: a retrospective cross-sectional study of... by Sheila Leatherman, Matthew Neilson, Alix Boisson-Walsh, Jack Lewis

“…We demonstrate how we can leverage currently available, although imperfect, public data sources to compile quality metrics across multiple LHDIS countries.Methods Using public data sources, the Demographic Health Survey (DHS) and Service Provision Assessment (SPA), we selected relevant quality metrics and categorised them within a QoC matrix. …”
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Cross-Sectional Analysis of IL-6, TNF-α, Adiponectin, Leptin, and Klotho Serum Levels in Relation to BMI Among Overweight and Obese Children Aged 10–14 in La Rioja, Spain by Beatriz Fernández-Vallejo, Francisco Jiménez Monteagudo, Lourdes Romero, Maria Isabel López Aznárez, María del Carmen Romero Cobas, Laura Pérez-Martínez

“…Participants were selected based on BMI criteria for overweight (85th–95th percentiles) and obesity (>95th percentile). Socio-demographic and anthropometric data and blood samples were collected and analyzed for IL-6, TNF-α, adiponectin, leptin, and Klotho. …”
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The Emotional Appetite Questionnaire (EMAQ)&#146;s Reliability and Validity and Relationship with Body Mass Index and Emotional Schemas by Ba&thorn;ak Demirel, K. Fatih Yavuz, M. Emrah Karadere, Yasir &THORN;afak, M. Hakan T&uuml;rk&ccedil;apar

“…Participants firstly asked to complete the socio-demographic data form. Turkish form of the EAQ, Eating Attitudes Test (EAT) and the Leahy Emotional Schema Scale (LESS) was given to criteria met participants. …”
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