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ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
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PERSONAL HEALTH PSYCHOLOGY AS A BIOPSYCHOSOCIAL FRAMEWORK FOR STRESS PREVENTION AND HEALTH-PROMOTING DECISION-MAKING: A NARRATIVE REVIEW

Authors: Akhmedova Nigora Dadakhonovna;

PERSONAL HEALTH PSYCHOLOGY AS A BIOPSYCHOSOCIAL FRAMEWORK FOR STRESS PREVENTION AND HEALTH-PROMOTING DECISION-MAKING: A NARRATIVE REVIEW

Abstract

Background: Personal health psychology examines how individuals’ beliefs, emotions, coping patterns, and social context shape health behavior, stress responses, and illness experience. Objective: To synthesize core constructs of personal health psychology and articulate an integrated framework for stress prevention and health-promoting decision-making grounded in biopsychosocial principles, stress theory, and self-regulation strategies. Methods: A narrative review and concept-driven synthesis were conducted. Foundational and representative literature was mapped into four domains: (1) biopsychosocial determinants, (2) psychological resources and cognitive determinants, (3) stress theories and mechanisms, and (4) scalable self-regulation strategies. Reporting follows the logic of SANRA items (aims, search description, referencing, reasoning, and relevant endpoints).[1] Results: The synthesis supports an integrated pathway: biopsychosocial determinants shape vulnerability and resources; stress emerges through coupled physiological activation and cognitive appraisal; chronic stress contributes to mental and physical symptom burden through neuroendocrine, immune, and behavioral pathways; and prevention is operationalized through low-threshold regulation strategies (slow-paced breathing, mindfulness, cognitive reappraisal, time structuring, and reflective writing). Conclusion: Personal health psychology provides a coherent prevention framework linking appraisal, coping resources, and self-regulation skills to decision quality and health-supportive behavior. Future work should evaluate integrated training modules using validated outcomes and longitudinal follow-up.

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average