Showing 5,861 - 5,880 results of 8,337 for search '"diabetes"', query time: 0.12s Refine Results
  1. 5861
  2. 5862

    A Study of Correlation of Adiponectin Levels in Metabolic Syndrome by Apurv Singhal, Vedpal Singh Punia, Akash Bharti, Shaavi Mittal, Praveen Raman Mishra, Prem Kuma

    Published 2022-11-01
    “…Sixty patients attending the medicine out- or inpatient department, who confirmed consent, and fit into the International Diabetes Federation (IDF) inclusion criteria for MetS, were recruited for this study. …”
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  3. 5863
  4. 5864

    Effect of Aerobic Exercise on Blood Glucose Among Those with Prediabetes: A Systematic Review and Meta-Analysis by Tianyi Jiang, Zichen Ye, Qu Lu, Peixia Cheng, Qi Gao

    Published 2024-12-01
    “…Prediabetes, a state between normoglycemia and diabetes, is increasingly affecting population health; thus, it should not be overlooked. …”
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  5. 5865
  6. 5866

    Healthcare utilisation and expenditure patterns for cardio-metabolic diseases in South Asian cities: the CARRS Study by Dorairaj Prabhakaran, Kavita Singh, Roopa Shivashankar, Nikhil Tandon, Mohammed K Ali, Kalpana Singh, V Mohan, Priti Gupta, Ajay Vamadevan, Muhammad Masood Kadir, K M Narayan

    Published 2020-09-01
    “…Objective To estimate average annual expenditures per person, total economic burden and distress health financing associated with the treatment of five cardio-metabolic diseases (CMDs—hypertension, diabetes, heart disease (angina, myocardial infarction and heart failure), stroke and chronic kidney disease) in three metropolitan cities in South Asia.Design Cross-sectional surveys.Setting We analysed community-based baseline data from the Centre for cArdio-metabolic Risk Reduction in South Asia (CARRS) Study collected in 2010–2011 representing Chennai and New Delhi (India), and Karachi (Pakistan).Participants We used data from non-pregnant adults (≥20 years) from the aforementioned cities that responded to a cost-of-illness questionnaire. …”
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  7. 5867

    Mendelian randomization analysis does not support a causal influence between lipoprotein(A) and immune-mediated inflammatory diseases by Yun Ti, Dan Xu, Xiaoning Qin, Yang Hu, Yuru Xu, Qingzhao Zhao, Peili Bu, Jingyuan Li

    Published 2025-01-01
    “…However, genetically predicted lipid traits HDL-C was associated with increased risk of Type 1 diabetes (T1D). The identification of potential mechanisms underlying the observed associations in observational studies necessitates further investigation.…”
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  8. 5868

    Prevalence of peripheral artery disease in young coronary artery disease patients by Medikonda Malla Reddy, N. Krishna Geetha, Kakumani Jagadeswar, I. Mariraj, K.I.S.N. Vaishnavi, Fahad Dadu, Gowri Shankar A.

    Published 2024-09-01
    “…Hypertension (HTN) and diabetes mellitus (DM) were less prevalent, affecting 20% and 15% of participants, respectively. …”
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  9. 5869
  10. 5870

    The pattern and burden of non-communicable diseases in armed conflict-exposed populations in Northeastern Nigeria by Roland I. Stephen, Jennifer A. Tyndall, Jamiu S. Olumoh, Malachy I. Okeke, Jacob A. Dunga, Tonde G. Elijah, Dillys M. Bello, Oyelola A. Adegboye, Jimmy A. Reyes

    Published 2025-01-01
    “…The prevalence of hypertension, diabetes, abdominal obesity, and depression in the entire cohort was 22.92%, 5.04%, 44.19%, and 17.94%, respectively. …”
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  11. 5871

    A comprehensive analysis of erectile dysfunction prevalence and the impact of prostate conditions on ED among US adults: evidence from NHANES 2001-2004 by Yuhao Zhang, Nan Zang, Yingyue Xiang, Fanlu Lin, Xue Liu, Jing Zhang, Jing Zhang

    Published 2025-01-01
    “…Subgroup analyses indicated that the association between BPH and ED was significant in non-diabetic, overweight/obese, and smoking groups, while the association between PCa and ED was more pronounced in non-diabetic, hypertensive individuals across all body mass index (BMI) categories, and in both smoking and non-smoking groups. …”
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  12. 5872
  13. 5873

    Activity of oxidative processes and the state of the redox regulating system in tumor tissue in skin cancer by I. A. Goroshinskaya, E. M. Frantsiyants, N. I. Larina, Yu. V. Przhedetskiy, I. V. Kaplieva, L. A. Nemashkalova, V. A. Bandovkina, V. V. Pozdnyakova, V. Yu. Przhedetskaya

    Published 2024-06-01
    “…Analysis of individual characteristics of LPO indicators in patients with skin carcinoma revealed a dependence of the severity of the increase in MDA and especially DC on the presence of concomitant pathology (hypertension, diabetes mellitus).…”
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  14. 5874

    Prevalence of communicable, non-communicable diseases, disabilities and related risk factors in Khyber Pakhtunkhwa Pakistan: Findings from the Khyber Pakhtunkhwa Integrated Populat... by Ziaul Haq, Saima Afaq, Muhammad Ibrahim, Zala, Muhammad Asim

    Published 2025-01-01
    “…The proportion of males and females with diabetes is 7.4% and 5.2%, respectively, with a more substantial percentage (11.2%) observed in the ≥50 years' age group compared to 2.5% in the 18-29 years' age group and 5.0% in the 30-49 years' age group. …”
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  15. 5875

    Association between demographic, clinical characteristics and severe complications by SARS-CoV-2 infection in a community-based healthcare network in Chile. by Javiera Leniz, Sam Hernández-Jaña, Mauricio Soto, Eduardo Arenas, Paula Margozzini, Francisco Suarez, Daniel Capurro, María Paulina Rojas, Claudia Bambs

    Published 2024-01-01
    “…Older age and male sex were consistently associated with a higher risk of the three COVID-19 complications. Hypertension and diabetes were associated with a higher risk of a hospital admission and death, but not with an ICU admissions due to COVID-19 infection. …”
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  16. 5876

    Integrated metabolomics and proteomics revealed astragaloside IV inhibiting Pdxk-mediated vitamin B6 metabolism based on liquid chromatography-tandem mass spectrometry combined wit... by Shi Qiu, Sifan Guo, Zhibo Wang, Ying Cai, Dandan Xie, Wanying Sun, Aihua Zhang

    Published 2025-01-01
    “…It also provides evidence that integrated metabolomics and proteomics approach reveal ASIV inhibits Pdxk as a potential therapeutic target by regulating AA metabolic homeostasis for diabetes treatment, and laying a new paradigm for diabetes treatment. …”
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  17. 5877

    Validation of the Chronic Liver Disease Questionnaire for MASH (CLDQ-MASH) by Zobair M. Younossi, Maria Stepanova, Issah Younossi, Andrei Racila

    Published 2025-03-01
    “…Known-groups validity assessment confirmed that CLDQ-MASH can discriminate patients based on liver disease severity (histology- and NIT-based) and the presence of non-hepatic comorbidities (obesity, type 2 diabetes, depression, clinically overt fatigue, insomnia). …”
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  18. 5878

    Course of COVID-19 in Patients with Inflammatory Bowel Disease: Regional Experience by L. M. Kupkenova, E. N. Belousova, E. S. Bodryagina, D. D. Mukhametova, A. Kh. Odintsova, D. G. Iskhakova, D. I. Abdulganieva

    Published 2023-02-01
    “…In patients with IBD, the development of viral pneumonia was influenced by known risk factors for COVID-19: age over 55 years (p < 0.05, odds ratio (OR) 3.153), increased BMI (p < 0.05, OR 1.667), hypertension  (p < 0.05, OR 2.724), diabetes (p < 0.05, OR 1.489), as well as the use of systemic corticosteroids (p < 0.05, OR 1.5).…”
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  19. 5879

    The criteria for choice of myocardial revascularization method in patients with stable coronary artery disease in routine clinical practice by O.A. Yepanchintseva, O.J. Zharinov, K.O. Mikhaliev, A.V. Khokhlov, B.M. Todurov

    Published 2018-09-01
    “…In addition, patients selected for CABG were more likely to have diabetes mellitus (34.8 % vs. 17.6 %, respectively, p = 0.006). …”
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  20. 5880

    Temporal trends, associated risk factors and longitudinal cardiovascular outcomes of body roundness among middle-aged and older Chinese adults: from the China Health and Retirement... by Ying-Yuan Gan, Yun-Dan Luo, Lu Zhai, Rong-Rui Huo, Xia Dai, Qian Liao

    Published 2025-01-01
    “…Multivariable analysis identified age, alcohol consumption, elevated blood pressure, and diabetes as positive predictors of BRI, while male sex, rural residence, and smoking were negatively associated. …”
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