Evidence map›Paper›PMID 40059037›Full record

ArticleAlcohol, clinical & experimental research2025

Effects of at-risk alcohol use on nighttime blood pressure, urinary catecholamines, and sleep quality in midlife adults.

Keng-Yu Chang, Tabitha Haun, Zhaoli Liu, Alfredo Gil, Ziba Taherzadeh, Paul J Fadel, Shane A Phillips, Mariann R Piano, Chueh-Lung Hwang

Abstract read
In one paragraph

Article in Alcohol, clinical & experimental research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Blood pressure and vascular function response to maximal graded exercise tests in young men with masked hypertension.American journal of physiology. Regulatory, integrative and comparative physiology · 2025
    Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Keng-Yu ChangDepartment of Kinesiology, University of Texas at Arlington, Arlington, Texas, USA.ORCID 0009-0008-5250-9091
Tabitha HaunDepartment of Kinesiology, University of Texas at Arlington, Arlington, Texas, USA.ORCID 0009-0007-9620-0355
Zhaoli LiuCollege of Nursing and Health Innovation, University of Texas at Arlington, Arlington, Texas, USA.
Alfredo GilDepartment of Kinesiology, University of Texas at Arlington, Arlington, Texas, USA.
Ziba TaherzadehDepartment of Kinesiology, University of Texas at Arlington, Arlington, Texas, USA.ORCID 0009-0000-2241-8916
Paul J FadelDepartment of Kinesiology, University of Texas at Arlington, Arlington, Texas, USA.
Shane A PhillipsDepartment of Physical Therapy, University of Illinois at Chicago, Chicago, Illinois, USA.ORCID 0000-0001-6030-2367
Mariann R PianoSchool of Nursing, Vanderbilt University, Nashville, Tennessee, USA.ORCID 0000-0003-4102-2073
Chueh-Lung HwangDepartment of Kinesiology, University of Texas at Arlington, Arlington, Texas, USA.ORCID 0000-0003-2713-4802

Funding

Reducing blood pressure in mid-life adult binge drinkers: the role of microvascular function and sympathetic activityR00AA028537 · NIAAA · UNIVERSITY OF TEXAS ARLINGTON · PI HWANG, CHUEH-LUNG · 2022 to 2024
$778k
Reducing blood pressure in mid-life adult binge drinkers: the role of microvascular function and sympathetic activityK99AA028537 · NIAAA · UNIVERSITY OF ILLINOIS AT CHICAGO · PI HWANG, CHUEH-LUNG · 2020 to 2021
$254k
NIAAA NIH HHS AA02853NIAAA NIH HHS K99 AA028537NIAAA NIH HHS R00 AA028537
6 · The paper itself

Abstract

backgroundThe association between alcohol and hypertension has been predominantly based on office blood pressure (BP) measurements. However, little is known about the effect of alcohol use on nighttime BP and the underlying mechanisms. The purpose of this study was to investigate the effects of at-risk alcohol use on nighttime BP, urinary catecholamines, and sleep quality in midlife adults.

methodsA total of 32 midlife men and 30 postmenopausal women, free of major clinical diseases and nonsmokers (age: 58 ± 4; mean ± SD), were included. Among all participants, 22 were currently taking antihypertensive medications. At-risk drinkers were defined as those who had a dried blood spot phosphatidylethanol level ≥20 ng/mL. All participants completed 24-h ambulatory BP monitoring and urine collection to determine nighttime (or asleep) BP and nighttime urinary catecholamine levels. Sleep quality was determined by using the Pittsburgh Sleep Quality Index.

resultsIn midlife adults free of antihypertensive medications, at-risk drinkers had a higher nighttime systolic (118 ± 14 vs. 107 ± 14 mmHg, p = 0.02) and diastolic BP (70 ± 9 vs. 62 ± 9 mmHg, p = 0.003) than low-risk drinkers with no between-group differences in sleep quality component scores (p ≥ 0.14). In midlife adults taking antihypertensive medications, no difference in nighttime BP was found between at-risk drinkers and low-risk drinkers (p ≥ 0.68), with a higher score for the "use of sleeping medication" component in high-risk drinkers (p = 0.02). Regardless of antihypertensive medication use, no difference between at-risk drinkers and low-risk drinkers was found in nighttime urinary catecholamine levels (p ≥ 0.19).

conclusionsOur findings suggest that in midlife adults free of antihypertensive medication use, at-risk alcohol use is associated with an increase in nighttime BP, and the increase in nighttime BP may be mediated by mechanisms other than increased catecholamines and poor sleep quality.

Indexed as

Alcohol DrinkingBlood PressureCatecholaminesSleepSleep QualityAdultBlood Pressure Monitoring, AmbulatoryCircadian RhythmFemaleHumansHypertensionMaleMiddle AgedCatecholaminesalcohol drinkingcardiovascular risksmiddle‐aged adults

Identifiers

PMID40059037
PMCPMC12912107

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.