Assessing cardiovascular disease risk and social determinants of health: A comparative analysis of five risk estimation instruments using data from the Eastern Caribbean Health Out... by Jeremy I Schwartz, Christina Howitt, Sumitha Raman, Sanya Nair, Saria Hassan, Carol Oladele, Ian R Hambleton, Daniel F Sarpong, Oswald P Adams, Rohan G Maharaj, Cruz M Nazario, Maxine Nunez, Marcella Nunez-Smith

“…SDoH variables included educational attainment, occupational status, household food security, and perceived social status. …”
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Linking Sleep to Hypertension: Greater Risk for Blacks by A. Pandey, N. Williams, M. Donat, M. Ceide, P. Brimah, G. Ogedegbe, S. I. McFarlane, G. Jean-Louis

“…Significant interactions of insufficient sleep with race/ethnicity were observed even after adjusting to effects of age, sex, income, education, body mass index, alcohol use, smoking, emotional distress, diabetes, coronary heart disease, and stroke. …”
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Intestinal Parasitic Infections, Treatment and Associated Factors among Pregnant Women in Sao Tome and Principe: A Cross-Sectional Study by Alexandra Vasconcelos, Swasilanne Sousa, Nelson Bandeira, Marta Alves, Ana Luísa Papoila, Filomena Pereira, Maria Céu Machado

“…IPI was significantly associated with primary education (AOR 1.73 (95% CI: 1.10–2.71)), unemployment (AOR 1.94 (95% CI: 1.20–3.13)), and parity of five or above (AOR 3.82 (95% CI: 1.32–11.08)). …”
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Islam in Front of the Challenges of Modernity: World Politics, State System, Public Opinion by V. V. Orlov

“…(In Russ.).The set of textbooks, written by the lecturers of Department of Oriental Studies, MGIMO–University, is a very useful publication both in terms of research and education. It covers the wide field of key problems of contemporary Islam and fills out some gaps in Russian studies of Islam.The first book of the series is focused on processes of globalization and democratization in Islamic world. …”
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Role of microRNA in the risk stratification of ischemic strokes by Hosam M. Al-Jehani, Hosam M. Al-Jehani, Hosam M. Al-Jehani, Hosam M. Al-Jehani, Ahmed Hafez Mousa, Ahmed Hafez Mousa, Ahmed Hafez Mousa, Ahmed Hafez Mousa, May Adel Alhamid, Fawaz Al-Mufti

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Prevalence of nonrestorative sleep before and during the COVID-19 pandemic: based on a nationwide cross-sectional survey among Japanese in 2019 and 2022 by Kimiko Tomioka, Midori Shima, Keigo Saeki

“…Potential confounders included gender, age, marital status, family size, housing tenure, equivalent household expenditures, education, employment status, illness under treatment, lifestyle behaviors (i.e., smoking, drinking, dietary, and fitness habits), mental health, and sleep duration. …”
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Elements of spatial cyclography by K. L. Panchuk, E. V. Lyubchinov

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Knowledge, Awareness, and Influence of the COVID-19 Pandemic on Students of Biomedical Faculties: A Cross-Sectional Study by Bruno Špiljak, Luka Šimunović, Ana Marija Miličević, Marko Granić, Lana Bergman, Jasminka Peršec

“…This study underscores the importance of reliable information sources in shaping public health awareness and highlights the need for further education on COVID-19 symptoms and preventive measures.…”
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Neural correlates of olfactory working memory in the human brain by Zhuofeng Li, Shu-bin Li, Shaozhen Tan, Lu-lu Liu, Chao Yan, Lai-quan Zou

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Experimental Hyperthyroidism Decreases Gene Expression and Serum Levels of Adipokines in Obesity by Renata de Azevedo Melo Luvizotto, André Ferreira do Nascimento, Maria Teresa de Síbio, Regiane Marques Castro Olímpio, Sandro José Conde, Ana Paula Lima-Leopoldo, André Soares Leopoldo, Antonio Carlos Cicogna, Célia Regina Nogueira

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Hospital utilization and telemedicine preferences in patients with late-stage Parkinson’s disease and caregivers by Seo Hyun Hong, Seoyeon Kim, Seungmin Lee, Bora Jin, Jung Hwan Shin, Kyung Ah Woo, Han-Joon Kim

“…Telemedicine offers an opportunity to enhance PD education and assessment, introducing new methods for remotely measuring symptoms.…”
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Exploring predictors of the five-time sit-to-stand test based on cross-sectional findings from the Swedish National Study on Aging and Care (SNAC) by Joakim Niklasson, Cecilia Fagerström, Sofia Backåberg, Patrick Bergman, Terese Lindberg

“…Results The model (R2 = 0.268) showed that STS time was predicted by grip strength (β’ = -0.204, p < 0.05), age (β’ = 0.202, p < 0.05), health-related quality of life (β’ = -0.192, p < 0.05), having fallen within the preceding twelve months (β’ = -0.127, p < 0.05), physical activities of perceived light to moderate intensity (β’ = -0.121, p < 0.05), one-leg stand (β’ = -0.099, p < 0.05), and education level (β’ = -0.092, p < 0.05). For STS time, health-related quality of life (β = -0.354, confidence interval [CI] (-0.509)–(-0.199)), having fallen within the preceding twelve months (β = -0.222, CI (-0.365)–(-0.078)), and physical activities of perceived light to moderate intensity (β = -0.166, CI (-0.278)–(-0.053)) were the most prominent predictors. …”
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Generator of microelectric power plants for low-potential watercourses by R. N. Khamitov, R. V. Kuzmin, A. S. Meshkov, V. I. Susdorf, K. G. Pivovarov

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Cholesterol, triglycerides, HDL, and nitric oxide as determinants of resting heart rate variability in non-hospitalized mild post-COVID individuals: a cross-sectional study by Lucivalda Viegas de Almeida, Aldair Darlan Santos-de-Araújo, Luís Cláudio Nascimento da Silva, Patricia Martins Santos, Mariana Campos Maia, Victória Pereira Frutuoso, Daniel Santos Rocha, Adriana Sousa Rêgo, Daniela Bassi-Dibai

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Association Between Blood Pressure Variation During Dialysis and Cardio‐Cerebrovascular Events by Zhenliang Fan, Rujia Ye, Qiaorui Yang, Mengfan Yang, Riping Yin, Dongxue Zhao, Junfen Fan, Hongzhen Ma, Yiwei Shen, Hong Xia, Wenze Jiang, Keda Lu

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Theoretical modeling of hepatitis C acute infection in liver-humanized mice support pre-clinical assessment of candidate viruses for controlled-human-infection studies by Zhenzhen Shi, Adquate Mhlanga, Yuji Ishida, Ari Josephson, Nicholson T. Collier, Hiromi Abe-Chayama, Chise Tateno-Mukaidani, Scott J. Cotler, Jonathan Ozik, Marian Major, Jordan J. Feld, Kazuaki Chayama, Harel Dahari

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Streptococcus pyogenes carriage rate, associated factors and antimicrobial susceptibility profiles among urban and rural schoolchildren at Gondar city, Northwest Ethiopia by Yalewayker Gashaw, Alem Getaneh, Desie Kasew, Mitkie Tigabie, Baye Gelaw

“…Thus, regular screening and surveillance of Streptococcus pyogenes among schoolchildren should be conducted to minimize carriage or infections and maintain the rational use of antimicrobials. Health education about cigarette smoking in the house also needs to be provided to and the community.…”
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Impact of Livelihood Diversification on Rural Households’ Food and Nutrition Security: Evidence from West Shoa Zone of Oromia Regional State, Ethiopia by Firafis Haile, Jema Haji Mohamed, Chanaylew Seyoum Aweke, Terefe Tolessa Muleta

“…The results of the multinomial logit regression model revealed that various factors such as gender, age, family size, education level, farm experience, social norms, land ownership, livestock possession, access to credit, access to extension services, working capital, government policies, climate variability, livelihood training, and proximity to markets significantly influenced smallholder farming households’ choices and adoption of diversification strategies. …”
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Territorial obstacles causing early school dropout in Morocco: Multivariate spatial analysis by Aomar Ibourk, Soukaina Raoui

“…It uses 100 variables to explain dropout rates across ten territorial components (TC): demography and household structure (TC1), cultural and linguistic variety (TC2), poverty and living conditions (TC3), labor market (TC4), type of housing (TC5), living environment (TC6), school graduate (TC7), social programs (TC8), preschool education (TC9), and primary and middle school supply (TC10). …”
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#emergencymedicine: A TikTok Content Analysis of Emergency Medicine-related Content by Madison Stolly, Erika Wilt, Nathan Gembreska, Mohamad Nawras, Emily Moore, Kelly Walker, Rhonda Hercher, Mohamad Moussa

“…Approximately half, 50.0% (242/484), had an educational component, while 55.4% (268/484) of videos were judged to have an entertainment component. …”
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