Archives of General Internal Medicine

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Rapid Communication - Archives of General Internal Medicine (2025) Volume 9, Issue 3

Precision prevention: Lifestyle, tech, equity, ai

Catherine Osei*

Department of Public Health, University of Ghana, Accra, Ghana

*Corresponding Author:
Catherine Osei
Department of Public Health
University of Ghana, Accra, Ghana.
E-mail: catherine.osei@ug.edu.gh

Received : 01-Jul-2025, Manuscript No. aaagim-292; Editor assigned : 03-Jul-2025, PreQC No. aaagim-292(PQ); Reviewed : 23-Jul-2025, QC No aaagim-292; Revised : 01-Aug-2025, Manuscript No. aaagim-292(R); Published : 12-Aug-2025 , DOI : 10.35841/aaagim-9.3.292

Citation: Osei C. Precision prevention: Lifestyle, tech, equity, ai. aaagim. 2025;09(03):292.

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Introduction

This article highlights lifestyle medicine's crucial role in primary care and chronic disease prevention, emphasizing that evidence-based interventions focusing on diet, physical activity, stress management, and sleep can significantly reduce disease burden and improve patient outcomes. These core lifestyle adjustments are foundational for long-term well-being and mitigating chronic conditions[1].

This systematic review and meta-analysis evaluates the effectiveness of digital health interventions in preventive care, concluding that such tools can significantly improve health behaviors and outcomes, particularly for chronic disease prevention and management. Digital platforms offer scalable, accessible solutions, empowering individuals in their health journeys[2].

This paper explores how social determinants of health significantly influence access to and effectiveness of preventive care and chronic disease management. Addressing factors like socioeconomic status, education, and community context is vital for equitable health outcomes. Mitigating these broader societal influences is essential to ensure preventive measures reach all populations effectively[3].

This review discusses the expanding role of nutrition in personalized preventive health, highlighting how tailored dietary interventions, informed by an individual's genetic makeup and lifestyle, can optimize health and prevent disease more effectively. This personalized approach allows for specific recommendations catering to unique biological needs[4].

This global review examines successful strategies for integrating mental health promotion and prevention into primary care settings. It underscores the importance of early intervention, destigmatization, and collaborative care models to improve population mental well-being. Embedding mental health support within general healthcare enhances accessibility and fosters holistic patient health[5].

This scoping review explores the breadth of public health policies aimed at preventing chronic diseases. It identifies key policy areas, implementation challenges, and the need for comprehensive, multi-sectoral approaches to effectively reduce population-level disease burden. Such policies require collaboration across various sectors to create environments supporting healthier choices[6].

This article calls for a concerted effort to advance health equity by prioritizing preventive care, especially for marginalized populations. It highlights how systemic changes and targeted interventions are necessary to dismantle barriers and ensure equitable access to health-promoting resources. Achieving health equity means addressing disparities for fair health outcomes for everyone[7].

This article describes precision prevention as a new paradigm, moving healthcare towards individualized preventive strategies based on genomics, lifestyle data, and environmental factors. This approach promises more effective and tailored interventions than traditional population-wide methods. Leveraging personal data, precision prevention identifies specific risks and recommends customized actions[8].

This systematic review and meta-analysis affirms the significant impact of behavioral and lifestyle interventions in preventing cardiovascular disease. It highlights how targeted changes in diet, exercise, and health behaviors are effective strategies for reducing cardiac risk and improving long-term health. Evidence supports positive shifts in daily habits profoundly affecting cardiovascular well-being[9].

This systematic review explores the transformative potential of Artificial Intelligence (AI) in preventive medicine, covering applications from risk prediction and early disease detection to personalized health recommendations and public health surveillance, showcasing its capacity to enhance preventive strategies. AI's ability to analyze vast datasets revolutionizes proactive and personalized preventive care[10].

 

Conclusion

Preventive care is crucial for reducing chronic disease burden and improving patient outcomes. Lifestyle medicine, focusing on diet, physical activity, stress management, and sleep, plays a key role in primary care, offering evidence-based interventions. Digital health tools show significant promise in improving health behaviors and outcomes for prevention and management. Factors like social determinants of health, including socioeconomic status and education, deeply impact access to and effectiveness of preventive care, calling for systemic changes to ensure health equity, especially for marginalized populations. Tailored approaches are gaining traction, with personalized nutrition interventions, informed by genetics and lifestyle, optimizing health. Precision prevention represents a new paradigm, moving healthcare towards individualized strategies based on genomics, lifestyle data, and environmental factors for more effective interventions. Integrating mental health promotion and prevention into primary care is also vital, emphasizing early intervention and collaborative care models. Public health policies are essential for widespread chronic disease prevention, requiring comprehensive, multi-sectoral strategies to address population-level health challenges. Behavioral and lifestyle interventions effectively prevent cardiovascular disease through targeted changes in diet and exercise. Looking ahead, Artificial Intelligence (AI) offers transformative potential in preventive medicine, aiding in risk prediction, early detection, and personalized health recommendations, thereby enhancing overall preventive strategies. This holistic view emphasizes a multifaceted approach to wellness and disease prevention.

References

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