Editorial: Raising awareness around trends in noncommunicable diseases and their risk factors to promote global prevention and control

Frontiers in Public Health, Journal Year: 2025, Volume and Issue: 13

Published: Jan. 28, 2025

Noncommunicable diseases (NCDs), encompassing cardiovascular diseases, cancer, diabetes, and chronic respiratory illnesses, have emerged as a significant global health challenge, exerting immense pressure on healthcare systems economies worldwide. As per the World Health Organization (WHO), (NCDs) globally account for 41 million deaths annually, resulting in 74% of mortality. 1 The NCD's contributions to Disability-adjusted life years (DALY) are highest is only disease group which DALYs increased from 1•47 billion 2010 1•73 2021. 2 multifaceted etiology NCDs underscores imperative comprehensive approaches addressing underlying risk factors quantifying their impact exposure key necessary inform public policy practice help prioritize use scarce resources reduce existing disparities. 3 According WHO, arise combination behavioral, metabolic, environmental factors. Modifiable behaviors such tobacco use, physical inactivity, unhealthy diets, harmful alcohol consumption significantly elevate NCD risks. Metabolic factors, including high blood pressure, obesity, elevated glucose, lipids, drive development. Environmental like air pollution further exacerbate risks, causing 6.7 globally, with 5.7 linked conditions stroke, heart disease, obstructive pulmonary lung cancer. While most considered modifiable, efforts minimize them abysmally low One crucial bottleneck this sluggish response lack awareness or insufficient knowledge about among people policymakers.Although these remain low. A critical widespread inadequate noncommunicable associated general policymakers. This highlights urgent need raising behavioral change sustainable practices. 4 Improving caliber volume counselling requires strategy that assists removing obstacles fostering an environment where practitioners can successfully apply diet activity counseling techniques.Effective prevention necessitates supportive conducive health-promoting behaviors. Advocacy aimed at context-specific formulation its effective implementation play pivotal role curbing prevalence mitigating Taxation policies sugar-sweetened beverages, food labeling regulations, urban planning initiatives promoting active transportation recreational spaces exemplify strategies creating health-enhancing environments. 5 development management skills across various workforce cadres, availability reasonably priced, high-quality, supply antihypertensive medications, robust digital information system, primary infrastructure, community-based services, all successful programs. 6 Partnerships Collaborative Initiatives: endeavors involving governmental agencies, non-governmental organizations, academia, private sector instrumental advancing control agendas. By harnessing collective expertise resources, stakeholders synergize awareness, implementing interventions, advocating reforms. Strategic alliances foster innovation, enhance programmatic efficiency, optimize resource allocation toward outcomes. family-centric approach should be mainstay services order improve ownership.There reform organizations' work culture. Extended periods sitting, particularly workplace young adults, increase individual's developing hypertension other NCDs. To productivity, there concept Yoga hour workplace. 7 idea afternoon naps normalized during lunch hours they known prevent premature cognitive deterioration. 8 Newer solutions: Addressing complex interplay innovative solutions artificial intelligence (AI). AI-based machine learning algorithms enable analysis vast amounts data identify patterns, trends, correlations related mining electronic records, epidemiological databases, social media platforms, AI-powered analytics uncover insights into prevalence, geographic disparities, emerging trends. 9 These data-driven evidence-based tailoring interventions specific population needs. Further, Natural language processing (NLP) facilitate extracting synthesizing relevant textual sources, scientific literature, news articles, online forums. Collaboration governments, NGOs, sectors essential bridge gaps technology access trust. integrated ensures comprehensive, burden while disparities.To conclude, world uniformly going through rapid demographic economic transition overwhelmingly fast pace. Accounting deaths, pose severe threat economies. Thus timely actions warranted emergence new cases adequately manage cases. Insufficient regarding NCDs, indifferent attitudes practices hinder efforts. editorial proposed boost educational campaigns, undertake advocacy, promote structural reforms healthful crucial. Additionally, AI offer valuable personalized interventions. address outcomes globally.

Language: Английский

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Las enfermedades no transmisibles y la carga financiera con el uso de la tecnología

Vinculatégica EFAN, Journal Year: 2025, Volume and Issue: 11(1), P. 122 - 137

Published: Jan. 31, 2025

El objetivo es analizar la carga financiera y tecnología en relación con las enfermedades no transmisibles (ENT), el método de investigación tiene un enfoque documental, revisión bibliográfica, descriptivo cualitativo usando diseño experimental. resultado obtenido fue una directa entre disminución uso tecnologías, específico, inteligencia artificial (AI) debido a gran cantidad creaciones diversos procesos del área médica diagnóstico, tratamiento prevención ENT. Las conclusiones fueron que AI oportunidad para eficientizar bajar los costos, sin embargo, existen otras variables se deben tener consideración como reglas regulación datos, financiamiento adquisición equipos sistemas AI, capital humano, estrategias implementación, equidad claridad información. Seguir trabajando instaurar salud digital países esencial minimizar riesgo contraer ENT reducir financiera, educación tecnologías logrará ser más eficiente persona, empresa, sociedad país.

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Mitochondrial Dysfunction in Neurodegenerative Diseases: Exploring Therapeutic Approaches for Parkinson's Disease

Indus journal of bioscience research., Journal Year: 2025, Volume and Issue: 3(2), P. 438 - 451

Published: March 3, 2025

Parkinson ’s disease (PD) is a progressive neurodegenerative disorder characterized by the loss of dopaminergic neurons and accumulation misfolded α-synuclein protein aggregates. A central aspect PD pathophysiology mitochondrial dysfunction resulting oxidative stress, both which contribute to neuronal degeneration progression. total 121 patients were included in sample, selected using snowball sampling techniques. Data collected through structured interviews medical records, ensuring inclusion demographic information, duration, stage, current treatment regimens. The analysis revealed that majority participants male (53.7%), with highest age group falling 60-69 years range (33.1%). duration varied, most (45.5%) being diagnosed within last 5 years. study also explored comorbidities, hypertension (41.3%) common, followed diabetes (24.8%) cardiovascular (16.5%). This aimed explore relationship between dysfunction, clinical outcomes patients, as well examine potential influence stage on choices. from major hospitals Pakistan participated study, data, including age, gender, disease, collected. Statistical analysis, correlation, multiple regression, Chi-Square tests, significant correlations severity PD. Oxidative stress exerted stronger was identified contributor regression analysis. No association found medication type. These results emphasize importance targeting stress. Future research should develop therapies restore function reduce slow

Language: Английский

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Diagnosis and Management of Sexually Transmitted Infections Using Artificial Intelligence Applications Among Key and General Populations in Sub-Saharan Africa: A Systematic Review and Meta-Analysis

Algorithms, Journal Year: 2025, Volume and Issue: 18(3), P. 151 - 151

Published: March 7, 2025

The Fourth Industrial Revolution (4IR) has significantly impacted healthcare, including sexually transmitted infection (STI) management in Sub-Saharan Africa (SSA), particularly among key populations (KPs) with limited access to health services. This review investigates 4IR technologies, artificial intelligence (AI) and machine learning (ML), that assist diagnosing, treating, managing STIs across SSA. By leveraging affordable accessible solutions, tools support KPs who are disproportionately affected by STIs. Following systematic guidelines using Covidence, this study examined 20 relevant studies conducted SSA countries, Ethiopia, South Africa, Zimbabwe emerging as the most researched nations. All reviewed used secondary data favored supervised ML models, random forest XGBoost frequently demonstrating high performance. These tracking services, predicting risks of STI/HIV, developing models for community HIV clusters. While AI enhanced accuracy diagnostics efficiency management, several challenges persist, ethical concerns, issues quality, a lack expertise implementation. There few real-world applications or pilot projects Notably, primarily focus on development, validation, technical evaluation methods rather than their practical application As result, actual impact these approaches point care remains unclear. highlights effectiveness various through detection, diagnosis, treatment, monitoring. strengthens knowledge technologies Understanding potential improve sexual outcomes, address gaps STI surpass limitations traditional syndromic approaches.

Language: Английский

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Using data systems to conduct health research in the Caribbean: challenges during the COVID-19 pandemic

Revista Panamericana de Salud Pública, Journal Year: 2025, Volume and Issue: 49, P. 1 - 1

Published: April 9, 2025

We aimed to assess how control measures during the coronavirus disease 2019 (COVID-19) pandemic affected metabolic health of people with noncommunicable diseases when severe restrictions on movement and safety concerns prevented use traditional methods data collection. To identify study participants, we attempted hospital laboratory databases in Jamaica, Barbados, Trinidad Tobago. planned contact participants by telephone for verbal consent complete a questionnaire extract information (blood pressure anthropometric data) from their medical records. In this article, describe challenges collecting systems conduct research COVID-19. Only one four hospitals selected had dedicated technology personnel able access sampling. When were obtained through commercial vendor, lack unique identifiers made it difficult link these reports records containing information. Outdated limited our ability recruit potential identified method. Three used paper requiring manual chart review. There was inconsistent recording biomedical record abstraction. As lifted, resorted recruitment Strengthening routine collection implementing standardized, accessible, electronic are essential generate actionable Caribbean.

Language: Английский

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Navigating challenges and opportunities: AI's contribution to Pakistan's sustainable development goals agenda – a narrative review

Journal of the Pakistan Medical Association, Journal Year: 2024, Volume and Issue: 74(4)

Published: May 3, 2024

Sustainable Developmental Goals (SDGs) were introduced by the United Nations to ensure sustainable progress of mankind through various domains. Pakistan, a low-middle-income country, faces many challenges in achieving SDGs. Artificial Intelligence is rapidly evolving technology presenting significant importance Therefore, this narrative review aimed evaluate artificial intelligence technologies that have been utilized globally and nationally which can be implemented Pakistan focusing on Goal 3 (Good Health Well-being) AI has primarily high-income countries aiming improve healthcare, thereby progressing towards different targets lacks such initiatives with modest no improvement across adapt undertaken resourceful achieve its own Keywords: Development, Goals, Intelligence, Care, Technology.

Language: Английский

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Exploring the Use and Implications of AI in Sexual and Reproductive Health and Rights: Protocol for a Scoping Review

JMIR Research Protocols, Journal Year: 2024, Volume and Issue: 13, P. e53888 - e53888

Published: April 9, 2024

Background Artificial intelligence (AI) has emerged as a transformative force across the health sector and garnered significant attention within sexual reproductive rights (SRHR) due to polarizing views on its opportunities advance care heightened risks implications it brings people’s well-being bodily autonomy. As fields of AI SRHR evolve, clarity is needed bridge our understanding how being used this historically politicized area raise visibility critical issues that can facilitate responsible meaningful use. Objective This paper presents protocol for scoping review synthesize empirical studies focus intersection SRHR. The aims identify characteristics systems tools applied SRHR, regarding domains, intended purpose, target users, data life cycle, evidence benefits harms. Methods follows standard methodology developed by Arksey O’Malley. We will search following electronic databases: MEDLINE (PubMed), Scopus, Web Science, CINAHL. Inclusion criteria comprise use in clear describing either quantitative or qualitative approaches, including program descriptions. Studies be excluded if they entirely digital interventions do not explicitly tools, are about robotics nonhuman subjects, commentaries. exclude articles based geographic location, language, publication date. study present uses purpose system maturity cycle. Outcome measures reported effect, accuracy, acceptability, resource use, feasibility have deployed evaluated tools. Ethical legal considerations, well findings from studies, synthesized through narrative thematic analysis. PRISMA-ScR (Preferred Reporting Items Systematic Reviews Meta-Analyses Extension Scoping Reviews) format findings. Results database searches resulted 12,793 records when were conducted October 2023. Screening underway, analysis expected completed July 2024. Conclusions provide key insights usage patterns convey ethical, safety, considerations. outcomes contributing technical brief World Health Organization guide future research practice highly charged work. Trial Registration OSF Registries osf.io/ma4d9; https://osf.io/ma4d9 International Registered Report Identifier (IRRID) PRR1-10.2196/53888

Language: Английский

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Integrating Artificial Intelligence in the Diagnosis of COPD Globally: A Way Forward

Chronic Obstructive Pulmonary Diseases Journal of the COPD Foundation, Journal Year: 2023, Volume and Issue: 11(1), P. 114 - 120

Published: Sept. 27, 2023

The advancement of artificial intelligence (AI) capabilities has paved the way for a new frontier in medicine, which capability to reduce burden COPD globally.AI may healthcare-associated expenses while potentially increasing diagnostic specificity, improving access early diagnosis, monitoring progression, and subsequent management.We evaluated how AI can be integrated into diagnosis globally leveraged resourceconstrained settings.AI been explored diagnosing phenotyping through auscultation, pulmonary function testing (PFT), imaging.Clinician collaboration with increased performance highlights important role clinical decisionmaking integration.Likewise, analysis computer tomography (CT) imaging large population-based cohorts ability, severity categorization, prediction outcomes related COPD.Moreover, multi-modality approach CT imaging, demographic data, spirometry shown improvement machine learning progression compared each modality alone.Prior research primarily conducted high-income country settings, lack transferability global population.AI is World Health Organization priority potential healthcare barriers low-and middle-income countries.We recommend between clinicians an AI-supported multimodal step towards achieving this.We believe interplay spirometry, biomarker, sputum provide unique insights across settings that could basis decision-making includes early-intervention those diagnosed COPD.

Language: Английский

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Knowledge and Perception of Artificial Intelligence among Faculty Members and Students at Batterjee Medical College

Journal of Pharmacy And Bioallied Sciences, Journal Year: 2024, Volume and Issue: 16(Suppl 2), P. S1815 - S1820

Published: April 1, 2024

A BSTRACT Background: Mounting research suggests that artificial intelligence (AI) is one of the innovations aid in patient’s diagnosis and treatment, but unfortunately limited has been conducted this regard Kingdom Saudi Arabia (KSA). Hence, study aimed to assess level knowledge awareness AI among faculty members medicine students premier medical colleges KSA. Methods: cross-sectional descriptive was at Batterjee Medical College (BMC), Jeddah (KSA), from November 2022 April 2023. Result: total 131 participants contributed our study, which three were excluded due incomplete responses, thereby giving a response rate 98%. Conclusion: 85.4% respondents believe positive impact on healthcare system physicians general. there should be mandatory course schools can prepare future doctors diagnose patients more accurately, make predictions about patients’ health, recommend better treatments.

Language: Английский

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Digital Transition in Healthcare in Morocco: Current Progress and Challenges to Overcome

Lecture notes in networks and systems, Journal Year: 2024, Volume and Issue: unknown, P. 161 - 171

Published: Jan. 1, 2024

Language: Английский

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