Evidence map›Paper›PMID 40704501›Full record

ArticleClinical cardiology2025

Exploring the Interaction Between Sleep Patterns, Cardiac Autonomic Function, and Traditional Cardiovascular Risk Factors Following Acute Myocardial Infarction.

Mohamed Ali Hbaieb, Laurent Bosquet, Omar Hammouda, Raghda Hbaieb, Ines Mezghani, Salma Charfeddine, Leila Abid, Mouna Turki, Tarak Driss, Benoit Dugué

Abstract read
In one paragraph

Article in Clinical cardiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Observational
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

10 authors.

Mohamed Ali HbaiebLaboratory Mobilité, Vieillissement, Exercise (MOVE) (UR20296), Faculty of Sport Sciences, University of Poitiers, Poitiers, France.ORCID https://orcid.org/0009-0009-6211-0970
Laurent BosquetLaboratory Mobilité, Vieillissement, Exercise (MOVE) (UR20296), Faculty of Sport Sciences, University of Poitiers, Poitiers, France.
Omar HammoudaResearch Laboratory, Molecular Bases of Human Pathology, LR19ES13, Faculty of Medicine, University of Sfax, Sfax, Tunisia.
Raghda HbaiebCardiovascular Surgery Unit, Habib Bourguiba University Hospital, Faculty of Medicine, University of Sfax, Sfax, Tunisia.
Ines MezghaniResearch Laboratory, Molecular Bases of Human Pathology, LR19ES13, Faculty of Medicine, University of Sfax, Sfax, Tunisia.
Salma CharfeddineCardiology Unit, Hedi Chaker Hospital University, Faculty of Medicine, University of Sfax, Sfax, Tunisia.ORCID https://orcid.org/0000-0003-4047-0608
Leila AbidCardiology Unit, Hedi Chaker Hospital University, Faculty of Medicine, University of Sfax, Sfax, Tunisia.
Mouna TurkiResearch Laboratory, Molecular Bases of Human Pathology, LR19ES13, Faculty of Medicine, University of Sfax, Sfax, Tunisia.
Tarak DrissInterdisciplinary Laboratory in Neurosciences, Physiology and Psychology: Physical Activity, Health and Learning (LINP2), UFR STAPS, Paris Nanterre University, Nanterre, France.ORCID https://orcid.org/0000-0001-6109-7393
Benoit DuguéLaboratory Mobilité, Vieillissement, Exercise (MOVE) (UR20296), Faculty of Sport Sciences, University of Poitiers, Poitiers, France.ORCID https://orcid.org/0000-0003-2660-8244

Funding

The authors received no specific funding for this work.
6 · The paper itself

Abstract

backgroundMonitoring lifestyle habits and physiological metrics are essential for improving cardiovascular outcomes and supporting recovery after acute cardiac events. Sleep is acknowledged as a core component of cardiovascular health and a predictive tool of adverse outcomes following acute myocardial infarction (AMI).

objectiveThe present study aimed to assess sleep metrics and explore the links between sleep patterns, heart rate variability (HRV) parameters, and traditional cardiovascular risk factors in patients with AMI.

methodsSixty male patients with AMI (56.77 ± 8.24 years) participated in this study. Cardiac autonomic function was assessed with short-term HRV analysis during the second week post-AMI. Physical activity level was assessed using accelerometers. Sleep quality and quantity were evaluated objectively using a wrist-worn accelerometer and subjectively by the Pittsburgh Sleep Quality Index. Chronotype was evaluated with the Horne and Otsberg questionnaire.

resultsTwenty post-AMI patients (33.3%) tended to experience poor sleep quality, with a sleep efficiency inferior to 85%. Thirty patients (50%) experienced short sleep duration, 16 (26.7%) had a healthy sleep duration (7-8 h), and 14 (23.3%) slept more than 8 h. Multiple regression analysis revealed that patients with healthy sleep quality and quantity exhibited higher HRV parameters, both in time and frequency domain values (p < 0.05). Low physical activity level was observed in patients with long sleep duration (p = 0.005) and evening chronotype (p = 0.022).

conclusionPatients who spent more time performing moderate to vigorous physical activity tended to exhibit good sleep health and increased parasympathetic activity which are considered cardioprotective after AMI.

trial registrationPACTR202208834230748.

Indexed as

Autonomic Nervous SystemHeart RateMyocardial InfarctionSleepSleep QualityAgedHeart Disease Risk FactorsHumansMaleMiddle AgedRisk AssessmentRisk FactorsTime Factorsacute myocardial infarctioncardiac autonomic functionphysical activitysleep

Identifiers

PMID40704501
PMCPMC12287801

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.