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  1. 11801
  2. 11802

    Physical activity moderates the deleterious relationship between cardiovascular disease, or its risk factors, and quality of life: Findings from two population-based cohort studies... by Viviane de Menezes Caceres, Nigel Stocks, Robert Adams, Dandara Gabriela Haag, Karen Glazer Peres, Marco Aurélio Peres, David Alejandro González-Chica

    Published 2018-01-01
    “…<h4>Background</h4>Few studies have investigated the relationship between physical activity (PA) of low intensity and duration with quality of life (QoL) among individuals at risk or with cardiovascular disease (CVD).…”
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  3. 11803
  4. 11804

    Preconception care utilization and pregnancy outcomes among postpartum women at Komfo Anokye Teaching Hospital, Ghana by Timothy Kwabena Adjei, Timothy Kwabena Adjei, Opei Kwafo Adarkwa, Opei Kwafo Adarkwa, Evans Ansu-Yeboah, Esmond Ofori, Esmond Ofori, Bernard Arhin, Augustine Tawiah, Augustine Tawiah, Charles Mawunyo Senaya, Charles Mawunyo Senaya, Seth Amponsah Tabi, Seth Amponsah Tabi, Amponsah Peprah, Amponsah Peprah, Edward Tieru Dassah, Edward Tieru Dassah, Atta Owusu Bempah, Atta Owusu Bempah

    Published 2025-04-01
    “…For every case who gave consent, two consecutive controls were recruited until the sample size was attained. Categorical variables were compared using Chi-square (χ2) or Fisher's exact test as appropriate, while continuous variables were compared using student t-tests. …”
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  5. 11805
  6. 11806
  7. 11807
  8. 11808

    Neuropsychiatric adverse events in people with HIV initiating a new integrase strand transfer inhibitor-based regimen in Italy: findings from the NEURO-INSTI study by Nicola Squillace, Elena Delfina Ricci, Giancarlo Orofino, Gabriele Forcina, Laura Albini, Barbara Menzaghi, Giuseppe Vittorio De Socio, Stefania Piconi, Paolo Maggi, Giordano Madeddu, Giovanni Francesco Pellicanò, Eleonora Sarchi, Benedetto Maurizio Celesia, Filippo Lagi, Elena Salomoni, Antonio Di Biagio, Paolo Bonfanti

    Published 2025-05-01
    “…Abstract Background Although clinical trials reported a low and comparable rate of central nervous system (CNS)/neuropsychiatric (NP) disturbances among people with HIV (PWH) receiving integrase strand transfer inhibitors (INSTI) or other antiretroviral therapy (ART), higher rates of these disturbances have been reported in clinical practice. …”
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  9. 11809

    Health literacy assessment and analysis of influencing factors in pregnant women with gestational diabetes mellitus in Southwest China by Fangmei Tang, Fangmei Tang, Li Gu, Li Gu, Xiujing Guo, Xiujing Guo, Wenjing Fu, Wenjing Fu, Benyi He, Yuqing Song, Yuqing Song, Dehua Li, Dehua Li

    Published 2025-01-01
    “…Healthcare professionals should focus on the GDM population with low family income and high pre-pregnancy BMI, fully mobilize their social support system, provide reliable access to information, encourage all GDM pregnancies to use pregnancy management diaries to record their self-management behaviors, and ensure the effectiveness of health education.…”
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  10. 11810

    Correlation Between Family Support and Depression Among Pre-Elderly Individuals with HIV in Jakarta by Gracella Tanjaya, Surilena Surilena, Nicholas Hardi, Eva Suryani

    Published 2025-07-01
    “…The participants reported low family support (median 25.00) and mild depressive symptoms (median 8.00). …”
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    Article
  11. 11811

    Estimating the Population Size of People Who Inject Drugs in 3 Cities in Zambia: Capture-Recapture, Successive Sampling, and Bayesian Consensus Estimation Methods by Lauren Parmley, Giles Reid, Joyce J Neal, Brave Hanunka, Leigh Tally, Lophina Chilukutu, Tepa Nkumbula, Chipili Mulemfwe, Lazarous Chelu, Ray Handema, John Mwale, Kennedy Mutale, Lloyd Mulenga, Anne F McIntyre, Neena M Philip, Hannah Chung, Maria Lahuerta

    Published 2025-07-01
    “… Abstract BackgroundAccurate population size estimates (PSE) of key populations—those disproportionately affected by HIV—are critical to forecast need and inform HIV prevention and treatment programs, though they can be difficult to ascertain due to low visibility of these groups. In Zambia, reliable estimates on the number of people who inject drugs are limited, inhibiting public health response. …”
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  12. 11812

    Prevalence and risk factors of diarrhea among under-five children in Ethiopia: A systematic review and meta-analysis by Aboma Motuma, Sina Temesgen Tolera, Fekade Ketema Alemu, Dechasa Adare, Roba Argaw, Abdi Birhanu, Kasiye Shiferaw, Gari Hunduma, Shiferaw Letta, Shibiru Temesgen, Desalegn Admassu Ayana

    Published 2025-05-01
    “…The pooled adjusted odds of improper disposal of child feces (AOR:3.33, 95% CI:2.70, 4.11), unvaccinated against Rota virus (AOR:1.81,95% CI:1.55, 2.12) and low maternal education (AOR:1.05, 95%CI:1.00, 1.11) were the risk factors for the prevalence of diarrhea among children under five years old. …”
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  13. 11813

    NitroNet – a machine learning model for the prediction of tropospheric NO<sub>2</sub> profiles from TROPOMI observations by L. Kuhn, L. Kuhn, S. Beirle, S. Osipov, S. Osipov, A. Pozzer, T. Wagner, T. Wagner

    Published 2024-11-01
    “…During wintertime considerable low biases arise because the summertime/late-spring training data are not fully representative of all atmospheric wintertime characteristics (e.g. longer <span class="inline-formula">NO<sub>2</sub></span> lifetimes). …”
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  14. 11814

    Hazard and Lag Effect of Compound Heat-Drought Events in Southeastern Coastal China under Climate Change Scenarios by An Aohua, Chen Jie, Gao Guoping

    Published 2025-04-01
    “…Under the SSP5-8.5 scenario, the CHDE duration was approximately 2.23 times higher in the high-value areas than in the low-value regions, whereas the differences in occurrence days and intensity were smaller, at 1.13 and 1.11 times, respectively. …”
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  15. 11815

    Disparities in Postoperative Pain Management: A Scoping Review of Prescription Practices and Social Determinants of Health by Aidan Snell, Diana Lobaina, Sebastian Densley, Elijah Moothedan, Julianne Baker, Lama Al Abdul Razzak, Alexandra Garcia, Shane Skibba, Ayden Dunn, Tiffany Follin, Maria Mejia, Panagiota Kitsantas, Lea Sacca

    Published 2025-02-01
    “…<b>Background</b>: Opioid analgesic therapy has been traditionally used for pain management; however, the variability in patient characteristics, complexity in evaluating pain, availability of treatment within facilities, and U.S. physicians overprescribing opioids have contributed to the current opioid epidemic. …”
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  16. 11816

    Investigating Engine Performance and Emission Characteristics during Testing of Diesel-Biodiesel Mixed Fuels Obtained from Vegetable Oils and their Modeling by S. R. Mousavi Seyedi, M. Askari, S. M. R. Miri

    Published 2025-06-01
    “…Furthermore, the modeling results indicated a significantly higher correlation (R² > 0.98) between actual and predicted values of performance variables and emissions using ANFIS, compared to linear regression (R² < 0.47) and non-linear regression (R² < 0.92). …”
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  17. 11817
  18. 11818

    A hybrid approach to predicting and classifying dental impaction: integrating regularized regression and XG boost methods by Asok Mathew, Pradeep K. Yadalam, Ahmed Radeideh, Shrouk Hady, Rona Swed, Reyyan Cheema, Majd Mousa AL-Mohammad, Mohammed Alsaegh, SR Shetty

    Published 2025-04-01
    “…Advanced predictive models like logistic Regression and XGBoost analyze critical variables, identify patterns, and perform predictive analysis. …”
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  19. 11819

    Predicting isolated impaired glucose tolerance without oral glucose tolerance test using machine learning in Chinese Han men by Lin Wang, Jing Xie, Zhaoyan Gu, Xinyu Miao, Lichao Ma, Shuangtong Yan, Yanping Gong, Chunlin Li, Banruo Sun, Yue Ruan

    Published 2025-04-01
    “…This study aims to predict glucose tolerance status in Chinese Han men at fasting state using machine learning (ML) models with demographic, anthropometric, and laboratory data.MethodsThe study population consisted of 1,117 Chinese Han men aged 50–87 years. Baseline variables including age, fasting plasma glucose (FPG), high blood pressure (HBP), body mass index (BMI), waist to hip ratio (WHR), total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C) were collected from electronic medical records (EMRs) for machine learning model training and validation. …”
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  20. 11820