Digital interventions for self-management of prediabetes: A scoping review DOI Creative Commons
Melanie Stowell, Rosie Dobson, Katie Garner

и другие.

PLoS ONE, Год журнала: 2024, Номер 19(5), С. e0303074 - e0303074

Опубликована: Май 10, 2024

Background Rates of prediabetes, which can lead to type 2 diabetes, are increasing worldwide. Interventions for prediabetes mainly focus on lifestyle changes diet and exercise. While these interventions effective, they often delivered face-to-face, may pose a barrier those with limited access healthcare. Given the evidence digital addressing other noncommunicable diseases, also be effective self-management. The aim this scoping review was assess breadth around Methods We developed targeted search strategy relevant studies were identified through searches conducted in four bibliographic databases (Medline, Embase, PsycInfo, Scopus). Published eligible if included intervention support adults aged 18+ Titles abstracts first screened relevance by one researcher. Full texts selected records assessed against criteria independently two researchers inclusion final analysis. Results Twenty-nine included, nine randomised controlled trials. Most efficacy reported significant at least primary and/or secondary outcome, including participants’ glycaemic control, weight loss physical activity levels. About one-third mixed outcomes or early that not sustained long-term follow-up. varied length, modalities, complexity. Delivery formats text messages, mobile apps, virtually accessible dietitians/health coaches, online peer groups, web-based platforms. Approximately half participant engagement/acceptability outcomes. Conclusion Whilst here suggests self-management acceptable have potential reduce one’s risk progression more research is needed understand interventions, components specifically, greatest reach diverse populations, most promoting user engagement, longer term.

Язык: Английский

Examination of the Effects of Long-term COVID-19 Impacts on Patients with Neurological Disabilities Using a Neuromachine Learning Model DOI Open Access

A Vaniprabha,

J Logeshwaran,

T. Kiruthiga

и другие.

Deleted Journal, Год журнала: 2022, Номер 1(1), С. 21 - 28

Опубликована: Дек. 5, 2022

Currently, studies have shown that one in three people infected with coronavirus disease-19 (COVID-19) is likely to had long-term exposure COVID-19, known as COVID-19. Clinical indicate many the severe acute respiratory syndrome Coronavirus-2 (SARS-CoV-2) COVID-19 pandemic exposure. According study, it has been said diabetes and obesity, who received organ transplants, are more suffer from this effect of In article, effects on neurological disability patients analyzed help a neuromachine learning model. The proposed model also shows COVID problem does not depend factors such race, age, gender, socioeconomic status those people. model, suffering problems continue physical fatigue shortness breath regularly monitored classified per instructions. Even after they recover disease, various side seen.

Язык: Английский

Процитировано

92
Higher Prevalence of Long COVID Observed in Cancer Survivors: Insights from a US Nationwide Survey DOI

Lingchen Wang,

Wei Yang

Annals of Epidemiology, Год журнала: 2025, Номер unknown

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

2
The Examination of the Effects of Long-term COVID-19 Impacts on Patients with Neurological Disabilities Using a Neuromachine Learning Model DOI Open Access

A. Vaniprabha,

J. Logeshwaran,

T. Kiruthiga

и другие.

Deleted Journal, Год журнала: 2023, Номер 1(1), С. 22 - 29

Опубликована: Янв. 1, 2023

Currently, studies have shown that one in three people infected with coronavirus disease-19 (COVID-19) is likely to had long-term exposure COVID-19, known as COVID-19. Clinical indicate many the severe acute respiratory syndrome Coronavirus-2 (SARS-CoV-2) COVID-19 pandemic exposure. According study, it has been said diabetes and obesity, who received organ transplants, are more suffer from this effect of In article, effects on neurological disability patients analyzed help a neuromachine learning model. The proposed model also shows COVID problem does not depend factors such race, age, gender, socioeconomic status those people. model, suffering problems continue physical fatigue shortness breath regularly monitored classified per instructions. Even after they recover disease, various side seen.

Язык: Английский

Процитировано

42
From Acute Infection to Prolonged Health Consequences: Understanding Health Disparities and Economic Implications in Long COVID Worldwide DOI Open Access
Jaleel Jerry G. Sweis, Fatima Alnaimat,

Valeria Flórez Esparza

и другие.

International Journal of Environmental Research and Public Health, Год журнала: 2024, Номер 21(3), С. 325 - 325

Опубликована: Март 11, 2024

The COVID-19 pandemic has resulted in a growing number of patients experiencing persistent symptoms and physiological changes after recovering from acute SARS-CoV-2 infection, known as Long COVID. COVID is characterized by recurring inflammation across multiple organ systems. Diagnosis can be challenging, influenced factors like demographics, comorbidities, immune responses. impacts various systems have neuropsychological effects. Health disparities, particularly related to race, contribute higher burden infection ongoing minority populations. Managing entails addressing spectrum that encompass physical, cognitive, psychological aspects. recovery period for with vary significantly, the severity disease, hospitalization, age. Currently, there are no universally effective treatments, although certain interventions show promise, necessitating further research. Self-management rehabilitation programs provide relief, but more research needed establish their effectiveness. Preventive measures such vaccination use antiviral medications metformin. It imperative conduct develop evidence-based guidelines gain better understanding long-term implications COVID-19. could substantial economic impact on labor market, productivity, healthcare expenditures, overall growth. To address challenges complications face, focus strategies promoting telework flexible work arrangements accommodate diverse symptoms, chronic fatigue other In conclusion, this review emphasizes multifaceted complexity need its potential health impacts.

Язык: Английский

Процитировано

9
Autoantibody development is associated with clinical severity of COVID-19: A cohort study DOI

Marie Brinkmann,

Ludwig Traby, Manuel Kussmann

и другие.

Clinical Immunology, Год журнала: 2025, Номер 274, С. 110471 - 110471

Опубликована: Март 3, 2025

Язык: Английский

Процитировано

1
Incidence of type 2 diabetes before and during the COVID-19 pandemic in Naples, Italy: a longitudinal cohort study DOI Creative Commons
Raffaele Izzo, Daniela Pacella, Valentina Trimarco

и другие.

EClinicalMedicine, Год журнала: 2023, Номер 66, С. 102345 - 102345

Опубликована: Дек. 1, 2023

BackgroundThe association of COVID-19 with the development new-onset diabetes has been recently investigated by several groups, yielding controversial results. Population studies currently available in literature are mostly focused on type 1 (T1D), comparing patients a SARS-CoV-2 positive test to individuals without COVID-19, especially paediatric populations. In this study, we sought determine incidence 2 (T2D) before and during pandemic.MethodsIn longitudinal cohort analysed followed up over 6-year period using an Interrupted Time Series approach, i.e. 3-years pandemic. We data obtained from >200,000 adults Naples (Italy) January 1st 2017 December 31st 2022. manner, had opportunity compare newly diagnosed T2D (2017–2019) (2020–2022) The key inclusion criteria were age >18-year-old availability for observation; diagnosis excluded. main outcome study was new T2D, as defined International Classification Diseases 10 (ICD-X), including prescription antidiabetic therapies more than 30 days.FindingsA total 234,956 subjects followed-up at least or pandemic included study; among these, 216,498 pre-pandemic years 216,422 years. rate 4.85 (95% CI, 4.68–5.02) per 1000 person-years 2017–2019, vs 12.21 11.94–12.48) 2020–2022, increase about twice half. Moreover, doubling time number diagnoses estimated unadjusted Poisson model 97.12 40.51–153.75) months prepandemic 23.13 16.02–41.59) Interestingly, these findings also confirmed when examining prediabetes.InterpretationOur 200,000 adult participants indicate that significantly higher compared pre-COVID-19 phase. As consequence, epidemiology disease may change terms rates outcomes well public health costs. survivors, prediabetes, require specific clinical programs prevent T2D.FundingThe US National Institutes Health (NIH: NIDDK, NHLBI, NCATS), Diabetes Action Research Education Foundation, Weill-Caulier Hirschl Trusts.

Язык: Английский

Процитировано

19
Mitochondrial oxidative stress, mitochondrial ROS storms in long COVID pathogenesis DOI Creative Commons

Kunwadee Noonong,

Moragot Chatatikun, Sirirat Surinkaew

и другие.

Frontiers in Immunology, Год журнала: 2023, Номер 14

Опубликована: Дек. 22, 2023

Significance This review discusses the coronavirus disease 2019 (COVID-19) pathophysiology in context of diabetes and intracellular reactions by COVID-19, including mitochondrial oxidative stress storms, ROS long COVID. Recent advances The COVID is suffered ~10% COVID-19 patients. Even virus does not exist, patients suffer for even over a year, could be mitochondria dysregulation disease. Critical issues Patients who recover from can develop new or persistent symptoms multi-organ complications lasting weeks months, called underlying mechanisms involved still unclear. Once persist, they cause significant damage, leading to numerous, symptoms. Future directions A comprehensive map stages pathogenetic related effective drugs treat prevent it are required, which will aid development future treatments symptom relief.

Язык: Английский

Процитировано

18
Endothelial Extracellular Vesicles Enriched in microRNA-34a Predict New-Onset Diabetes in Coronavirus Disease 2019 (COVID-19) Patients: Novel Insights for Long COVID Metabolic Sequelae DOI Open Access
Pasquale Mone, Stanislovas S. Jankauskas, Maria Virginia Manzi

и другие.

Journal of Pharmacology and Experimental Therapeutics, Год журнала: 2024, Номер 389(1), С. 34 - 39

Опубликована: Фев. 9, 2024

Emerging evidence indicates that the relationship between coronavirus disease 2019 (COVID-19) and diabetes is 2-fold: 1) it known presence of other metabolic alterations poses a considerably high risk to develop severe COVID-19; 2) patients who survived acute respiratory syndrome 2 (SARS-CoV-2) infection have an increased developing new-onset diabetes. However, mechanisms underlying this association are mostly unknown, there no reliable biomarkers predict development In present study, we demonstrate specific microRNA (miR-34a) contained in circulating extracellular vesicles released by endothelial cells reliably predicts COVID-19. This was independent age, sex, body mass index (BMI), hypertension, dyslipidemia, smoking status, D-dimer. SIGNIFICANCE STATEMENT: We for first time able after having contracted (COVID-19). Our findings also relevant when considering emerging importance post-acute sequelae COVID-19, with systemic manifestations observed even months viral negativization (long COVID).

Язык: Английский

Процитировано

8
Long COVID in Children, Adults, and Vulnerable Populations: A Comprehensive Overview for an Integrated Approach DOI Creative Commons
Valeria Calcaterra, Sara Zanelli, Andrea Foppiani

и другие.

Diseases, Год журнала: 2024, Номер 12(5), С. 95 - 95

Опубликована: Май 6, 2024

Long COVID affects both children and adults, including subjects who experienced severe, mild, or even asymptomatic SARS-CoV-2 infection. We have provided a comprehensive overview of the incidence, clinical characteristics, risk factors, outcomes persistent COVID-19 symptoms in encompassing vulnerable populations, such as pregnant women oncological patients. Our objective is to emphasize critical significance adopting an integrated approach for early detection appropriate management long COVID. The incidence severity can significant impact on quality life patients course disease case pre-existing pathologies. Particularly, fragile patients, presence PASC related significantly worse survival, independent from vulnerabilities treatment. It important try achieve recognition management. Various mechanisms are implicated, resulting wide range presentations. Understanding specific factors involved crucial tailoring effective interventions support strategies. Management approaches involve biopsychosocial assessments treatment comorbidities, autonomic dysfunction, well multidisciplinary rehabilitation. overall one gradual improvement, with recovery observed majority, though not all, As research long-COVID continues evolve, ongoing studies likely shed more light intricate relationship between chronic diseases, status, cardiovascular psychiatric disorders, effects This information could guide healthcare providers, researchers, policymakers developing targeted interventions.

Язык: Английский

Процитировано

7
SARS-CoV-2 infection and its effects on the endocrine system DOI Open Access
Charlotte Steenblock, Nicole Toepfner, Felix Beuschlein

и другие.

Best Practice & Research Clinical Endocrinology & Metabolism, Год журнала: 2023, Номер 37(4), С. 101761 - 101761

Опубликована: Март 5, 2023

Язык: Английский

Процитировано

16