Predicting short-term blood pressure trajectories using lifestyle and behavioural factors: A prospective cohort study
DOI:
https://doi.org/10.21542/gcsp.2026.24Abstract
Background: Hypertension is a major contributor to cardiovascular morbidity and mortality. While lifestyle modification is central to prevention, evidence on short-term blood pressure (BP) dynamics in relation to behavioural factors remains limited.
Objective: To evaluate the influence of diet, physical activity, and psychological stress on systolic blood pressure (SBP) trajectories and to develop a regression-based model for short-term BP prediction.
Methods: In this 12-week prospective cohort study, 75 adults attending a preventive cardiology clinic were followed, with BP measured at baseline, 6 weeks, and 12 weeks using validated oscillometric methods. Lifestyle and behavioural factors were assessed using the Food Frequency Questionnaire (sodium intake and DASH adherence), IPAQ-SF (physical activity), and PSS-10 (stress). Linear mixed-effects regression identified predictors of SBP change, and Elastic Net regression predicted 12-week SBP.
Results: Sixty-seven participants (mean age 44.6 ± 10.8 years; 52.2% male) completed follow-up. Mean SBP declined from 134.2 ± 12.6 to 131.4 ± 11.5 mmHg. Higher physical activity and DASH adherence were associated with SBP reduction, whereas higher sodium intake and stress predicted SBP elevation (all p < 0.05). The Elastic Net model demonstrated strong predictive performance (R² = 0.78; RMSE = 5.9 mmHg). Physical activity had a stronger effect in participants <45 years, and stress amplified sodium-related SBP increases.
Conclusions: Short-term SBP trajectories are strongly influenced by modifiable behavioural factors. Predictive models based on lifestyle data may support early risk stratification and personalized hypertension prevention.
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Copyright (c) 2026 Merugu Sudhakar, Pradeep Dayanand, Sandeep Dayanand, Jasmin Martinez, Tridev Adak

This work is licensed under a Creative Commons Attribution 4.0 International License.
This is an open access article distributed under the terms of the Creative Commons Attribution license CC BY 4.0, which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.