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Prevalence and determinants of tobacco use among school-going adolescents in 53 African countries: Evidence from the Global Youth Tobacco Survey
Published 2025-06-01“…Aims and Methods: We used the most recent Global Youth Tobacco Surveys from 53 African countries, covering 2003–2020, to estimate the overall and gender-specific prevalence of each type of tobacco product by country, Africa region, World Bank income group, and age group among adolescents aged 11–17 years. …”
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Changes in seasonal influenza vaccination uptake among older adults during and after the COVID-19 pandemic: Repeated random telephone surveys
Published 2025-12-01Subjects: “…repeated cross-sectional surveys…”
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A Robotic Guide for Blind People. Part 1. A Multi-National Survey of the Attitudes, Requirements and Preferences of Potential End-Users
Published 2010-01-01“…The survey is introduced by a brief overview of existing work on robotic travel aids and other mobile robotic devices. …”
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Threshold-effect of ferritin levels with pathoglycemia in Chinese adults: a cross-sectional study based on China health and nutrition survey data
Published 2025-01-01“…Methods A total of 8365 people from CHNS a cross-sectional survey in 2009 were finally included. The biomarker data, including major cardiovascular biomarkers and important nutrition biomarkers were collected. …”
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Association of Urinary Phthalates with Self-Reported Eye Affliction/Retinopathy in Individuals with Diabetes: National Health and Nutrition Examination Survey, 2001–2010
Published 2016-01-01“…Using data from the National Health and Nutrition Examination Survey (NHANES) 2001–2010, we studied the association of 12 urinary phthalate metabolites with self-reported eye affliction/retinopathy in 1,004 participants with diabetes. …”
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Workplace and social support, treatment satisfaction, and their impact on quality of life in Swedish women with multiple sclerosis: a cross-sectional survey study
Published 2024-12-01“…Further, to predict the satisfaction on these support dimensions based on sociodemographic and clinical variables.Design Cross-sectional survey: a web-based questionnaire conducted in 2021 of people with MS (PwMS) linked to Nationwide Swedish registers.Setting Sweden.Participants Working women with MS, living in Sweden, aged 20–50 responding to the survey during the spring of 2021 (n=2967).Outcome measures Health-related quality of life was measured using the EuroQol Visual Analogue Scale (EQ-VAS). …”
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Respiratory patient experience of measures to reduce risk of COVID-19: findings from a descriptive cross-sectional UK wide survey
Published 2020-09-01“…Objectives To assess the experience of people with long-term respiratory conditions regarding the impact of measures to reduce risk of COVID-19.Design Analysis of data (n=9515) from the Asthma UK and British Lung Foundation partnership COVID-19 survey collected online between 1 and 8 April 2020.Setting Community.Participants 9515 people with self-reported long-term respiratory conditions. 81% female, age ranges from ≤17 years to 80 years and above, from all nations of the UK. …”
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Enterprise Financing Mode and Technological Innovation Behavior Selection: An Empirical Analysis Based on the Data of the World Bank’s Survey of Chinese Private Enterprises
Published 2021-01-01“…Based on the data of the World Bank survey on China’s enterprises in 2012, this paper studies the impact of different financing methods on technological innovation behavior of private enterprises. …”
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Age-dependent interaction between serum zinc and triglyceride-glucose index among American adults: National Health and Nutrition Examination Survey
Published 2025-01-01“…Therefore, we designed this cross-sectional study to assess the relationship between serum zinc and TyG in adults using data from the National Health and Nutrition Examination Survey (NHANES).MethodsA cross-sectional analysis was performed on 1,610 adults aged ≥20 years who participated in the National Health and Nutrition Examination Survey (NHANES) 2011–2016. …”
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A combined school survey and reactive case detection reveals minimal local transmission of malaria in the Highlands Region of Papua New Guinea
Published 2025-01-01Subjects: Get full text
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Predicting child mortality determinants in Uttar Pradesh using Machine Learning: Insights from the National Family and Health Survey (2019–21)
Published 2025-03-01“…Methods: The study utilized data from the National Family and Health Survey (NFHS) - V. Four machine learning algorithms—Random Forests, Logistic Regression, K-Nearest Neighbors (KNN), and Naive Bayes—were applied alongside a traditional logistic regression model. …”
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