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May 8, 2026American Heart Journal Plus Cardiology Research and Practice0 citationsOpen Access

Home blood pressure monitoring and the risk of falls in older adults with hypertension: The AMBROSIA-HOME study

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BPBharat PoudelZWZhixin WangDSDaichi Shimbo

Key Result

Mean systolic blood pressure measured by home monitoring was not associated with the risk of falls among older adults with treated hypertension (HR 0.85; 95% CI 0.53-1.37 for highest vs lowest quartile).

Key Points

  • Evaluate whether home blood pressure monitoring is associated with fall risk in older adults with hypertension.
  • 541 older adults with hypertension participated and performed HBPM for 7 days.
  • Falls were reported monthly for 1 year, with analysis focusing on systolic BP quartiles, white coat effect, and SDIM.
  • Adjusted hazard ratios for falls were calculated based on BP measures and demographic data.
  • Over 379 person-years, 187 participants reported falls.
  • Hazard ratios comparing highest vs. lowest quartiles of systolic BP were 0.85 (0.53-1.37), 0.84 (0.51-1.40), and 0.97 (0.62-1.51).
  • No significant association between home blood pressure measures and falls was found.

Study Design

Type

Cohort (n=541)

Structured PICO

Do home blood pressure monitoring parameters (mean systolic BP, white coat effect, day-to-day variability) associate with the risk of falls in older adults with treated hypertension?

P
Population
499 older US adults with treated hypertension, mean age 74.2 years, 57.3% women.
I
Intervention
Home blood pressure monitoring (HBPM) taking 2 morning and 2 evening readings for 7 days to assess mean systolic BP, white coat effect, and day-to-day variability.
C
Comparator
Lowest quartiles of mean systolic BP, white coat effect, and day-to-day variability.
O
Outcome
Falls reported monthly for 1 year.safety

Home blood pressure monitoring parameters, including mean systolic BP, white coat effect, and day-to-day variability, were not associated with an increased risk of falls in older adults with treated hypertension.

Main Result

Effect estimate: HR 0.85 (95% CI 0.53-1.37)

Abstract

Background: Concerns about hypotension and excessive blood pressure (BP) variability leading to falls may be a barrier to achieving BP treatment goals among older adults. Home BP monitoring (HBPM) may allow for better BP management while avoiding falls. Methods: = 541), were instructed in proper HBPM technique and asked to take 2 morning and 2 evening readings for 7 days. Among 499 participants with ≥4 days of HBPM, white coat effect was defined as mean clinic BP minus mean BP on HBPM. Day-to-day variability was calculated using standard deviation independent of the mean (SDIM). Participants reported falls monthly for 1 year. We estimated hazard ratios (HRs) for falls across quartiles of systolic BP on HBPM, white coat effect and SDIM, separately, adjusting for demographic characteristics and chronic conditions. Results: The mean ± SD age of participants was 74.2 ± 6.1 years, and 57.3% were women. Prefrailty and frailty prevalence were 50.7% and 3.4%, respectively. Participants in the highest versus lowest quartile of mean SBP from HBPM were older and more frequently male. Over 379 person-years, 187 participants reported falls. Comparing the highest and lowest quartiles, the HRs (95% confidence interval) were 0.85 (0.53-1.37), 0.84 (0.51-1.40), and 0.97 (0.62-1.51) for mean systolic BP, white coat effect, and SDIM, respectively. There was no evidence of associations between these measures for diastolic BP and falls. Conclusion: BP measured using HBPM was not associated with falls among older US adults with treated hypertension.

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Cite This Study

Poudel et al. (2026) conducted a cohort in Hypertension (n=541). Home blood pressure monitoring (HBPM) vs. Lowest quartile of HBPM metrics was evaluated on Falls (HR 0.85, 95% CI 0.53-1.37). Mean systolic blood pressure measured by home monitoring was not associated with the risk of falls among older adults with treated hypertension (HR 0.85; 95% CI 0.53-1.37 for highest vs lowest quartile).

synapsesocial.com/papers/69fd7cd4bfa21ec5bbf05c02https://doi.org/10.1016/j.ahjo.2026.100791
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