Titre : Tabac pour pipe à eau

Tabac pour pipe à eau : Questions médicales fréquentes

Termes MeSH sélectionnés :

Muscle Strength

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)

Association between isokinetic abdominal muscle strength, pelvic floor muscle strength and stress urinary incontinence severity.

Studies have shown that there is co-activation between abdominal and pelvic floor muscles (PFM) in physiological conditions. This study aimed to assess pelvic floor and isokinetic trunk flexors functi... A cross-sectional study was carried out. Twenty-five incontinent women were enrolled after one-hour pad test results and compared to twenty asymptomatic women. The severity of SUI was determined by th... Incontinent women had a weaker PFM and isokinetic abdominal muscle strength compared to continent women (P<0,05). SUI severity was negatively correlated with PFM strength (r=-0,620, P=0,001), isokinet... Non-active incontinent women had weaker pelvic floor muscles and isokinetic trunk flexors strength compared to continent ones. The positive correlation found between these two muscle groups may be exp... 3....

Normative cutoffs of muscle mass, muscle strength, and frailty for healthy Indian population.

Population-derived cutoffs for low skeletal muscle mass, skeletal muscle strength, and frailty among Indians are lacking. Studies describing sarcopenia and frailty among patients with chronic liver di... We aimed to derive gender-specific cutoffs for low skeletal muscle mass and skeletal muscle strength from healthy Indians.... Healthy Indian population consisted of two groups. Group 1 (Gp I) included 242 healthy liver donors and group 2 (Gp II) 272 healthy health care workers. Skeletal muscle index (SMI) was calculated from... The SMI was measured from Gp I subjects (n=242; 120 males [mean age 31.13] and 122 females [mean age 36.60]). The HGS, CSUT, and LFI were measured in Gp I and Gp II subjects (n=514; 272 males [mean ag... We derived gender-specific cutoffs for SMI, HGS, CSUT, and LFI from healthy adult Indian population, which can be used to detect sarcopenia and frailty among patients with liver diseases, as well as o...

Skeletal muscle mass, muscle strength, and physical performance in children and adolescents with obesity.

Sarcopenic obesity (SO) is defined as obesity with low skeletal muscle function and mass. This study aimed to evaluate the presence of sarcopenic obesity according to different diagnostic criteria and... A total of 95 children and adolescents with obesity (diagnosed with the use of International Obesity Task Force (IOTF) criteria) with a mean age of 12.7( ± 3) years participated in the study. Body com... The presence of SO ranged from 6.32% to 97.89%, depending on the criteria used to define sarcopenia. Children with sarcopenia, defined as a co- occurrence of low skeletal muscle mass % (SMM%) measured... The presence of sarcopenia in our study varied depending on the diagnostic criteria used. This is one of the first studies evaluating muscle mass, muscle strength, and physical performance in children...

Respiratory muscle strength in stroke: a case-control study.

The aim of the study was to determine the respiratory muscle strength of stroke patients and compare them with healthy individuals.... The study was conducted with 171 patients who had a stroke between 2017 and 2021 and 32 healthy controls. Respiratory muscle strength and inspiratory and expiratory mouth pressure (MIP and MEP) were m... The stroke group exhibited significantly lower values in both MIP for men (p<0.001) and women (p=0.013) and maximal expiratory pressure for men (p<0.001) and women (p=0.042), compared with the healthy... This study highlights the significant respiratory muscle weakness experienced by stroke patients, with gender-specific differences. It highlights the importance of incorporating respiratory assessment...

Predictors of muscle strength assessed with the modified sphygmomanometer test.

To investigate the best predictor of muscle strength assessed with both Modified Sphygmomanometer Test (MST) methods (bag adaptation and non-adapted) and to provide normative values for these two MST ... Cross-sectional study.... The strength of 42 muscle groups were assessed with the MST in the bag adaptation and non-adapted methods in 120 healthy individuals, 50 % males, divided into three age groups (20-39, 40-59, 60-79) wi... Sex was the best independent predictor for all muscle groups for both MST methods (8.8 % < R... Sex was the best predictor of muscle strength, as commonly found for muscle strength assessment with the dynamometer. The normative values provided have high clinical utility and can be used to interp...