Projected Impact of Nonpharmacologic Management of Stage 1 Hypertension Among Lower-Risk US Adults

Kendra D Sims1,2, Pengxiao Carol Wei1, Joanne M Penko1

  • 1Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California.

Insights

Implementing lifestyle changes for stage 1 hypertension can prevent cardiovascular disease (CVD) events and reduce healthcare costs. Widespread adoption of nonpharmacologic therapies is crucial for substantial public health benefits.

Area of Science:

  • Cardiovascular Medicine
  • Public Health
  • Health Economics

Background:

  • The 2017 ACC/AHA guidelines reclassified 31 million US adults with stage 1 hypertension, recommending behavioral changes for low-risk individuals.
  • The potential impact of evidence-based lifestyle interventions on cardiovascular disease (CVD) reduction and healthcare costs remains unquantified.

Approach:

  • A simulation using the CVD Policy Model assessed 10-year CVD outcomes and costs in US adults aged 35-64 with low-risk stage 1 systolic hypertension (SBP 130-139 mmHg).
  • Interventions focused on systolic blood pressure (SBP) control through behavior modification, utilizing data from NHANES and published meta-analyses.
  • The model evaluated the impact of healthcare utilization and adherence to nonpharmacologic therapies on CVD event prevention.

Key Points:

  • Controlling SBP to <130 mmHg in the target population (8.8 million adults) could prevent 26,100 CVD events, 2,900 deaths, and save $1.6 billion over 10 years.
  • The DASH diet could prevent 16,000 CVD events in men and 12,000 in women annually; other nonpharmacologic interventions could avert 3,700-19,500 events.
  • Only 61% of the target population regularly utilized healthcare for recommended counseling, limiting intervention effectiveness.

Conclusions:

  • Substantial cardiovascular health benefits and cost savings from nonpharmacologic therapy require policies promoting widespread adoption and sustained adherence.
  • Future research should quantify population-level impacts of improving food systems and local infrastructure on health behavior change.
Abstract

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