Oui, les groupes de soutien offrent un environnement d'encouragement et de partage d'expériences.
Groupes de soutienIntervention sociale
#5
Combien de temps dure un traitement pour le tabagisme ?
La durée du traitement varie, mais il est souvent recommandé de suivre un programme de plusieurs mois.
Durée du traitementPlan de traitement
Complications
5
#1
Quelles sont les complications du tabagisme ?
Les complications incluent des maladies cardiovasculaires, des cancers et des maladies respiratoires.
Maladies cardiovasculairesCancers
#2
Le tabagisme affecte-t-il la santé mentale ?
Oui, il est associé à des troubles de l'humeur, de l'anxiété et des problèmes de dépendance.
Santé mentaleTroubles de l'humeur
#3
Le tabagisme peut-il entraîner des problèmes de fertilité ?
Oui, il peut réduire la fertilité chez les hommes et les femmes, affectant la reproduction.
FertilitéSanté reproductive
#4
Les complications sont-elles réversibles ?
Certaines complications peuvent être réversibles avec l'arrêt du tabac, mais pas toutes.
RéversibilitéArrêt du tabac
#5
Le tabagisme augmente-t-il le risque d'infections ?
Oui, il affaiblit le système immunitaire, augmentant le risque d'infections respiratoires.
Infections respiratoiresSystème immunitaire
Facteurs de risque
5
#1
Quels sont les principaux facteurs de risque du tabagisme ?
Les facteurs incluent l'exposition à la fumée, l'hérédité et des influences sociales.
Facteurs de risqueExposition à la fumée
#2
L'âge influence-t-il le risque de tabagisme ?
Oui, les jeunes adultes sont plus susceptibles de commencer à fumer en raison de la pression sociale.
ÂgePression sociale
#3
Le stress est-il un facteur de risque ?
Oui, le stress peut inciter à fumer comme moyen de gestion des émotions et de l'anxiété.
StressGestion des émotions
#4
Les antécédents familiaux jouent-ils un rôle ?
Oui, avoir des membres de la famille fumeurs augmente le risque de développer une dépendance.
Antécédents familiauxDépendance au tabac
#5
Les publicités influencent-elles le tabagisme ?
Oui, les publicités peuvent normaliser le tabagisme et inciter les jeunes à commencer à fumer.
PublicitéInfluence sociale
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"position": 9,
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"name": "Les symptômes varient-ils selon les individus ?",
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"@type": "Question",
"name": "Les campagnes anti-tabac sont-elles efficaces ?",
"position": 12,
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"position": 13,
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"@type": "Question",
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"position": 14,
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{
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"position": 16,
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"@type": "Answer",
"text": "Les traitements incluent les substituts nicotiniques, les médicaments et la thérapie comportementale."
}
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{
"@type": "Question",
"name": "Les médicaments sont-ils efficaces contre le tabagisme ?",
"position": 17,
"acceptedAnswer": {
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"text": "Oui, des médicaments comme la varénicline et le bupropion sont efficaces pour réduire le besoin de fumer."
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{
"@type": "Question",
"name": "Qu'est-ce que la thérapie comportementale ?",
"position": 18,
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"position": 19,
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"@type": "Question",
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"@type": "Question",
"name": "Quelles sont les complications du tabagisme ?",
"position": 21,
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"@type": "Answer",
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}
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Philip R. Lee Institute for Health Policy Studies, University of California San Francisco, 3333 California St., Ste. 265, San Francisco, CA 94118, United States of America. Electronic address: joseph.guydish@ucsf.edu.
Philip R. Lee Institute for Health Policy Studies, University of California San Francisco, 3333 California St., Ste. 265, San Francisco, CA 94118, United States of America. Electronic address: thao.le@ucsf.edu.
Department of Psychiatry, University of California San Francisco, 401 Parnassus Ave., San Francisco, CA 94143, United States of America. Electronic address: kevin.delucchi@ucsf.edu.
Department of Psychiatry and Behavioral Sciences, University of California, San Francisco 1001 Potrero Ave, San Francisco, CA 94110, United States. Electronic address: caravella.mccuistian@ucsf.edu.
Philip R. Lee Institute for Health Policy Studies, University of California San Francisco, 3333 California St., Ste. 265, San Francisco, CA, 94118, United States. Electronic address: kwinoja.kapiteni@ucsf.edu.
OHSU/PSU School of Public Health, Oregon Health and Sciences University, 3181 SW Sam Jackson Park Road, Portland, OR, 97239-3098, United States. Electronic address: drbarbaracampbell@earthlink.net.
Center for the Study of Drugs, Alcohol, Smoking and Health, School of Nursing, University of Michigan, Ann Arbor, Michigan; School of Nursing, University of Michigan, Ann Arbor, Michigan.
Center for the Study of Drugs, Alcohol, Smoking and Health, School of Nursing, University of Michigan, Ann Arbor, Michigan; School of Nursing, University of Michigan, Ann Arbor, Michigan; Addiction Center, Department of Psychiatry, University of Michigan, Ann Arbor, Michigan.
Rates of poor sleep and hypertension are alarming worldwide. In this study, we investigate the association between sleeping difficulties and sleep duration with hypertension risk in women....
Sixty-six thousand one hundred twenty-two participants of the Nurses' Health Study 2, who were free of hypertension at baseline (2001), were followed prospectively for 16 years and incident hypertensi...
During follow-up, we documented 25 987 incident cases of hypertension. After controlling for demographic and lifestyle risk factors, compared with women who slept 7 to 8 hours, women with shorter slee...
Difficulty falling or staying asleep and short sleep duration were associated with higher risk of hypertension among women in our study. Screening for poor sleep could be useful in identifying people ...
To review the literature examining the relationship between sleep and cognition, specifically examining the sub-domain of executive function. We explore the impact of sleep deprivation and the importa...
Sleep duration and executive function display a quadratic relationship. This suggests an optimal amount of sleep is required for daily cognitive processes. Poor sleep efficiency and sleep fragmentatio...
Current evidence points to the importance of sleep for adolescent physical and mental health. To date, most studies have examined the association between sleep duration/quality and health in adolescen...
We aimed to establish the optimal cutoffs of sleep timing and duration to assess obesity, hypertension (HTN), diabetes mellitus (DM), dyslipidemia (DL), and metabolic syndrome (MetS) using data from t...
In this cross-sectional study, data from 18,677 participants (8,107 men and 10,570 women) aged 19 or over were used. A receiver operating characteristic (ROC) curve adjusted for potential confounding ...
Bedtime between 9:00 PM to 0:30 AM for men and 10:00 PM to 11:00 PM for women is appropriate for assessing obesity, HTN, DM, DL, and MetS. The cutoff range was 9:00 PM to 11:00 PM for men ≥65 years an...
Bedtime between 10:00 PM to 11:00 PM, early MSFsc, and short sleep durations were appropriate for assessing CVD risk factors....
Sleep characteristics may potentially affect the hormonal environment related to follicular degeneration. The present study aimed to examine the association between sleep duration and the onset of men...
We conducted a prospective study among 3,090 premenopausal Japanese women aged 35 to 56 years derived from participants in the Takayama Study. Habitual sleep duration was determined by a self-administ...
During the 10 follow-up years, 1,776 women experienced natural menopause. Sleep duration of ≤6 hours was significantly associated with decreased hazard ratio of menopause (0.88; 95% confidence interva...
The data suggest that short sleep duration is associated with later onset of menopause....
To determine whether longitudinal trajectories of nighttime sleep duration and daytime napping duration are related to subsequent multimorbidity risk. To explore whether daytime napping can compensate...
The current study included 5262 participants from China Health and Retirement Longitudinal Study. Self-reported nighttime sleep duration and daytime napping duration were collected from 2011 to 2015. ...
During 6.69 years of follow-up, we observed multimorbidity in 785 participants. Three nighttime sleep duration trajectories and three daytime napping duration trajectories were identified. Participant...
In this study, persistent short nighttime sleep duration trajectory was associated with subsequent multimorbidity risk. Daytime napping could compensate for the risk of insufficient night sleep....
This cross-sectional study aimed to evaluate whether weekday sleep duration, weekend catch-up sleep, and risk of obstructive sleep apnea are individually and in combination associated with handgrip st...
Data from the Korea National Health and Nutrition Examination Survey 2019, including weekday sleep duration, weekend catch-up sleep, STOP-BANG scores, relative handgrip strength (handgrip strength div...
After adjusting for other sleep parameters and confounding variables, each adequate sleep parameter individually and collectively was associated with high relative handgrip strength (adjusted odds rat...
Adequate weekday sleep duration, weekend catch-up sleep, and low obstructive sleep apnea risk were individually and in combination associated with high handgrip strength....
Depressive symptoms have become one of the most common mental health problems in adolescents. Identifying potential factors associated with adolescent depressive symptoms could be practical and essent...
A total of 7330 participants aged 10-19 years were included in this study. Sleep duration was categorized into <7 h, 7-8 h, 8-9 h, and ≥ 9 h per day. The Chinese version of the Center for Epidemiology...
Thirty-four percent of the participants suffered from depressive symptoms. The prevalence of depressive symptoms in adolescents with sleep durations of <7 h, 7-8 h, 8-9 h, and ≥9 h per day was 52.66 %...
Long sleep duration is independently associated with a decreased risk of depressive symptoms in Chinese adolescents....
Insomnia with objective short sleep duration has been proposed as the most biologically severe phenotype of the disorder associated with cardiometabolic morbidity in population-based samples. In this ...
Several recent global events may have impacted adolescent sleep and exacerbated pre-existing disparities by social positions (i.e., social roles, identity or sociodemographic factors, and/or group mem...
Cross-sectional analyses were conducted using self-reported data collected during 2020-2021 (the first full school year after the COVID-19 pandemic onset) from 52,138 students (mean [SD] age = 14.9 [1...
Females reported a mean [95% CI] difference of -1.7 [-3.7, 0.4] min/day less sleep on weekdays than males, but 7.1 [4.5, 9.6] min/day more sleep on weekends, resulting in no difference in average dail...
Differences in sleep duration and quality were most profound among adolescents from the lowest and highest SES. Racial disparities were more evident on weekdays. Compensatory weekend sleep appears mor...
