Titre : Tabac pour pipe à eau

Tabac pour pipe à eau : Questions médicales fréquentes

Termes MeSH sélectionnés :

Patient Readmission

Questions fréquentes et termes MeSH associés

Diagnostic 2

#1

Comment diagnostiquer une dépendance au tabac à pipe à eau ?

Un diagnostic repose sur l'évaluation des habitudes de consommation et des symptômes de sevrage.
Dépendance au tabac Diagnostic médical
#2

Quels tests sont utilisés pour évaluer les effets du tabac à pipe à eau ?

Des tests de fonction pulmonaire et des analyses de sang peuvent évaluer les effets sur la santé.
Fonction pulmonaire Tests diagnostiques

Symptômes 2

#1

Quels sont les symptômes d'une consommation excessive ?

Les symptômes incluent toux, essoufflement, fatigue et irritation des voies respiratoires.
Toux Essoufflement
#2

Comment le tabac à pipe à eau affecte-t-il la santé bucco-dentaire ?

Il peut causer des maladies des gencives, des caries et des taches sur les dents.
Santé bucco-dentaire Maladies des gencives

Prévention 2

#1

Comment prévenir l'usage du tabac à pipe à eau chez les jeunes ?

L'éducation sur les risques et la promotion d'activités alternatives sont essentielles.
Prévention du tabagisme Éducation à la santé
#2

Quelles campagnes sont efficaces contre le tabac à pipe à eau ?

Les campagnes de sensibilisation et les restrictions publicitaires montrent des résultats positifs.
Campagnes de santé publique Tabagisme

Traitements 2

#1

Quels traitements existent pour arrêter le tabac à pipe à eau ?

Les traitements incluent les thérapies comportementales et les substituts nicotiniques.
Thérapie comportementale Substituts nicotiniques
#2

Les médicaments peuvent-ils aider à arrêter le tabac à pipe à eau ?

Oui, des médicaments comme la varénicline peuvent réduire les envies de fumer.
Varénicline Médicaments anti-tabac

Complications 2

#1

Quelles sont les complications respiratoires liées au tabac à pipe à eau ?

Les complications incluent bronchite chronique, emphysème et risque accru de cancer du poumon.
Bronchite chronique Cancer du poumon
#2

Le tabac à pipe à eau peut-il causer des maladies cardiovasculaires ?

Oui, il augmente le risque de maladies cardiovasculaires en affectant la circulation sanguine.
Maladies cardiovasculaires Circulation sanguine

Facteurs de risque 2

#1

Quels sont les principaux facteurs de risque du tabac à pipe à eau ?

Les facteurs incluent l'âge, le milieu social, et l'exposition à d'autres fumeurs.
Facteurs de risque Tabagisme
#2

Les femmes enceintes sont-elles à risque avec le tabac à pipe à eau ?

Oui, cela peut nuire au développement fœtal et augmenter les complications de grossesse.
Grossesse Tabagisme
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Dr Olivier Menir

Contenu validé par Dr Olivier Menir

Expert en Médecine, Optimisation des Parcours de Soins et Révision Médicale


Validation scientifique effectuée le 14/02/2025

Contenu vérifié selon les dernières recommandations médicales

Auteurs principaux

Omar F Khabour

8 publications dans cette catégorie

Affiliations :
  • Faculty of Applied Medical Sciences, Department of Laboratory Medical Sciences, Jordan University of Science and Technology, Irbid, Jordan.

Karem H Alzoubi

8 publications dans cette catégorie

Affiliations :
  • Department of Clinical Pharmacy, Jordan University of Science and Technology, Irbid, Jordan.

Erin L Sutfin

7 publications dans cette catégorie

Affiliations :
  • Social Sciences and Health Policy, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA esutfin@wakehealth.edu.

Jennifer Cornacchione Ross

7 publications dans cette catégorie

Affiliations :
  • Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.
  • Boston University School of Public Health, Boston, Massachusetts, USA.

Thomas Eissenberg

7 publications dans cette catégorie

Affiliations :
  • Department of Psychology, Virginia Commonwealth University, Richmond, VA, United States of America.
Publications dans "Tabac pour pipe à eau" : Voir toutes les publications (7)

Rima Nakkash

6 publications dans cette catégorie

Affiliations :
  • Department of Health Promotion and Community Health, Faculty of Health Sciences, American University of Beirut, Beirut, Lebanon.
  • Department of Global and Community Health, College of Health and Human Services, George Mason University, Fairfax, VA, United States.

Ramzi G Salloum

5 publications dans cette catégorie

Affiliations :
  • Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Florida, FL, United States.

Mohammed Jawad

5 publications dans cette catégorie

Affiliations :
  • Public Health Policy Evaluation Unit, Imperial College London, Hammersmith, UK.

Ngoan Tran Le

4 publications dans cette catégorie

Affiliations :
  • Institute of Research and Development, Duy Tan University, Da Nang City, Vietnam.
  • Department of Occupational Health, Institute for Preventive Medicine and Public Health, Hanoi Medical University, Ha Noi City, Vietnam.
  • Center for Health Promotion and Research, Hanoi Prospective Cohort Study, Hanoi City, Vietnam.

Can Van Phan

4 publications dans cette catégorie

Affiliations :
  • Center for Health Promotion and Research, Hanoi Prospective Cohort Study, Hanoi City, Vietnam.
  • Center for Population Health Sciences, Hanoi University of Public Health, Ha Noi City, Vietnam.

Phuoc Hong Le

4 publications dans cette catégorie

Affiliations :
  • Faculty of Public Health, University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh City, Vietnam.

Noura O Kassem

4 publications dans cette catégorie

Affiliations :
  • San Diego State University Research Foundation, San Diego, California, USA.

Allison J Lazard

4 publications dans cette catégorie

Affiliations :
  • Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina, USA.
  • Hussman School of Media and Journalism, University of North Carolina, Chapel Hill, North Carolina, USA.
Publications dans "Tabac pour pipe à eau" :

Brittney Keller-Hamilton

4 publications dans cette catégorie

Affiliations :
  • Mohammed Moumen, Medical Student, Wake Forrest School of Medicine, Winston-Salem, NC. Marielle Brinkman, Senior Research Scientist, Division of Epidemiology, College of Public Health, The Ohio State University, Columbus, OH. Brittney Keller-Hamilton, Research Scientist, Comprehensive Cancer Center, The Ohio State University, Columbus, OH. Andreas A. Teferra, Doctoral Student, Division of Epidemiology, College of Public Health, The Ohio State University, Columbus, OH. Megan E. Roberts, Assistant Professor, Division of Health Behavior and Health Promotion, College of Public Health, The Ohio State University, Columbus, OH. Elizabeth G. Klein, Interim Chair and Associate Professor, Division of Health Behavior and Health Promotion, College of Public Health, The Ohio State University, Columbus, OH. Paul Nini, Professor, Department of Design, College of Arts and Sciences, The Ohio State University, Columbus, OH. Michael Pennell, Associate Professor, Division of Biostatistics, College of Public Health, The Ohio State University, Columbus, OH. Amy K. Ferketich, Professor Division of Epidemiology, College of Public Health, The Ohio State University, Columbus, OH.

Theodore L Wagener

4 publications dans cette catégorie

Affiliations :
  • Department of Internal Medicine, The Ohio State University College of Medicine, Center for Tobacco Research, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio, United States of America.

Darren Mays

4 publications dans cette catégorie

Affiliations :
  • Department of Internal Medicine, The Ohio State University College of Medicine, Center for Tobacco Research, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio, United States of America.

Kenneth D Ward

4 publications dans cette catégorie

Affiliations :
  • Division of Social and Behavioral Science, School of Public Health, University of Memphis, Memphis, TN.

Mohammad Ebrahimi Kalan

4 publications dans cette catégorie

Affiliations :
  • Department of Epidemiology, Robert Stempel College of Public Health, Florida International University, Miami, FL, USA.

Sources (10000 au total)

Thirty-Day Readmission Among Patients With Uncomplicated Choledocholithiasis: A Nationwide Readmission Database Analysis.

We aimed to determine the rate of 30-day hospital readmissions of uncomplicated choledocholithiasis and its impact on mortality and health care use in the United States.... Nonelective admissions for adults with uncomplicated choledocholithiasis were selected from the Nationwide Readmission Database 2016-2018. The primary outcome was the all-cause 30-day readmission rate... The 30-day rate of readmission was 9.3%. Biliary and pancreatic disorders and postprocedural complications accounted for 36.6% and 10.3% of readmission, respectively. The mortality rate among patients... The uncomplicated choledocholithiasis 30-day readmission rate is 9.3%. Readmission was associated with higher mortality, morbidity, and resource use. Multiple independent predictors of readmission wer...

Readmission after OSA surgery in pediatric patients.

This study aimed to determine the readmission rate after adenotonsillectomy with the diagnosis of obstructive sleep apnea (OSA) and analyze the factors associated with readmission.... It was planned as a retrospective study conducted in a single institution that included pediatric patients who underwent adenotonsillectomy with OSA diagnosis between December 2018 and March 2021. Pat... The mean postoperative admission time was 7.27 ± 3.49 days in patients with bleeding and 3.5 ± 2.27 days in patients with pain or dehydration. The mean length of stay in the hospital was 2.6 ± 1.6 day... In children who underwent adenotonsillectomy for OSA, the hospitalization period of patients hospitalized due to pain/dehydration is much longer than patients admitted with bleeding. Therefore, measur...

Readmission rates in HIV-associated burkitt lymphoma patients in the USA: a nationwide readmission database (NRD) analysis.

People with human immunodeficiency virus have an increased risk of developing AIDS-defining malignancies including Burkitt lymphoma. Survival outcomes in HIV-associated Burkitt lymphoma remain worse t... Data were abstracted from the 2010-2020 Nationwide Readmissions Database; hospitalizations included patients with a primary BL diagnosis and were stratified by comorbid HIV. The primary outcome was al... Overall, there were 8,453 hospitalizations for BL and 6.0% carried an HIV diagnosis. Of BL hospitalizations, 68.4% were readmitted within 30-days post index BL hospitalization and 6.8% carried a HIV d... HIV-positive status is associated with an increased risk for 30-day readmission after index hospitalization for Burkitt lymphoma....

The patient experience of a postpartum readmission for hypertension: a qualitative study.

Hypertensive disorders of pregnancy (HDP) are the most common cause of postpartum readmission. Prior research led to clinical guidelines for postpartum management; however, the patient experience is o... This was a qualitative study with data generated through semi-structured interviews. Patients readmitted with postpartum HDP at an urban academic medical center from February to December 2022 were app... Six themes were generated: every pregnancy is different, symptoms of preeclampsia are easily dismissed or minimized by both patient and providers, miscommunication regarding medical changes can increa... This qualitative research study revealed patient-identified gaps in care that may have led to readmission for hypertensive disorders of pregnancy. The specific recommendations that emerge from these t...

Readmission rates and risk factors for readmission after transcatheter aortic valve replacement in patients with end-stage renal disease.

We sought to examine readmission rates and predictors of hospital readmission following TAVR in patients with ESRD.... End-stage renal disease (ESRD) is associated with poor outcomes following transcatheter aortic valve replacement (TAVR).... We assessed index hospitalizations for TAVR from the National Readmissions Database from 2017 to 2018 and used propensity scores to match those with and without ESRD. We compared 90-day readmission fo... We identified 49,172 index hospitalizations for TAVR, including 1,219 patients with ESRD (2.5%). Patient with ESRD had higher rates of all-cause readmission (34.4% vs. 19.2%, HR 1.96, 95% CI 1.68-2.30... Patients with ESRD undergoing TAVR have higher mortality and increased cost associated with their index hospitalization and are at increased risk of readmission within 90 days following TAVR....

Impact of Hospital Readmissions Reduction Program Policy on 30-Day and 90-Day Readmissions in Patients With Acute Myocardial Infarction: A 10-Year Trend From the National Readmissions Database.

Hospital readmissions following acute myocardial infarction (AMI) pose a significant economic burden on health care utilization. The hospital readmission reduction program (HRRP) enacted in 2012 focus...

Polymyositis/dermatomyositis readmissions: analysis of the nationwide readmission database.

There is a scarcity of national population-based studies on polymyositis (PM)/dermatomyositis (DM) readmissions in the USA. In this study, we aim to describe the rates, reasons for readmissions, and c... We analyzed the 2018 Nationwide Readmissions Database (NRD). We included index hospitalizations for all adult DM/PM patients with a principal diagnosis of PM/DM using ICD-10 codes. We excluded electiv... A total of 1610, 1286, and 842 index hospitalizations with a principal diagnosis of PM/DM, that were discharged alive, were included in the 30-, 90-, and 180-day readmission analysis, respectively. Am... About a third of PM/DM hospitalized patients are readmitted within 180 days. Readmissions constitute a significant economic burden to the health care system. PM and sepsis are the main reasons for rea...

Preventing Heart Failure Readmission in Patients with Low Socioeconomic Position.

This review aims to summarize the current burden of heart failure (HF) in the United States, specifically in patients with low socioeconomic position (SEP), and synthesize recommendations to prevent H... As treatments have improved, HF-related mortality has declined over time, resulting in more patients living with HF. This has led to an increase in hospitalizations, however, putting excess strain on ...

Targeted care navigation to reduce hospital readmissions in 'at-risk' patients.

Care navigation is commonly used to reduce preventable hospitalisation. The use of Electronic Health Record-derived algorithms may enable better targeting of this intervention for greater impact.... To evaluate if community-based Targeted Care Navigation, supported by an Electronic Health Record-derived readmission risk algorithm, is associated with reduced rehospitalisation.... A propensity score matching cohort (5 comparison to 1 intervention cohort ratio) study was conducted in an 850-bed Victorian public metropolitan health service, Australia, from May to November 2017. A... Sixty-five recipients received care navigation and were matched to 262 people who did not receive care navigation. Excellent matching was achieved with standardised differences between groups being <0... We provide preliminary evidence that Targeted Care Navigation supported by an Electronic Health Record-derived readmission risk algorithm may reduce 30-day hospital readmissions....