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Giridharan S, Pandiyan B, Kumar NV, Soumian S. Effects of Pranayama on Cancer Patients: A Narrative Review of Clinical Outcomes. Cureus 2024; 16:e54688. [PMID: 38524027 PMCID: PMC10960562 DOI: 10.7759/cureus.54688] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/22/2024] [Indexed: 03/26/2024] Open
Abstract
Pranayama, a set of yogic breathing techniques, is being studied as a potential supportive care option for cancer patients. This review intends to evaluate the effectiveness of Pranayama in enhancing the quality of life and well-being of cancer patients based on evidence from randomized controlled trials. We thoroughly searched databases for studies published between 2013 and 2023. We focused on randomized controlled trials that compared Pranayama interventions with non-yoga control groups. We assessed the primary outcomes, including psychological well-being, quality of life, physiological parameters, and treatment-related side effects. The review indicates that practicing Pranayama can lead to significant improvements in antioxidant levels, stress, anxiety, sleep quality, and overall quality of life for cancer patients. However, the evidence comes from a limited number of studies, which vary in sample sizes and methodologies. Pranayama shows promise as a complementary therapy for cancer patients, potentially enhancing their well-being and quality of life. Nonetheless, the current evidence base is limited, necessitating further research with larger sample sizes and more rigorous study designs to confirm these findings and elucidate the underlying mechanisms.
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Affiliation(s)
| | - Bhuvana Pandiyan
- Psychiatry Department, Worcestershire and Herefordshire Health and Care NHS Trust, Hereford, GBR
| | | | - Soni Soumian
- General Surgery Department, University Hospitals of North Midlands NHS Trust, Stoke-on-Trent, GBR
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Adkins-Hempel M, Japuntich SJ, Chrastek M, Dunsiger S, Breault CE, Ayenew W, Everson-Rose SA, Nijjar PS, Bock BC, Wu WC, Miedema MD, Carlson BM, Busch AM. Integrated smoking cessation and mood management following acute coronary syndrome: Protocol for the post-acute cardiac event smoking (PACES) trial. Addict Sci Clin Pract 2023; 18:29. [PMID: 37173792 PMCID: PMC10175930 DOI: 10.1186/s13722-023-00388-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Accepted: 05/03/2023] [Indexed: 05/15/2023] Open
Abstract
BACKGROUND Approximately 400,000 people who smoke cigarettes survive Acute Coronary Syndrome (ACS; unstable angina, ST and non-ST elevation myocardial infarction) each year in the US. Continued smoking following ACS is an independent predictor of mortality. Depressed mood post-ACS is also predictive of mortality, and smokers with depressed mood are less likely to abstain from smoking following an ACS. A single, integrated treatment targeting depressed mood and smoking could be effective in reducing post-ACS mortality. METHOD/DESIGN The overall aim of the current study is to conduct a fully powered efficacy trial enrolling 324 smokers with ACS and randomizing them to 12 weeks of an integrated smoking cessation and mood management treatment [Behavioral Activation Treatment for Cardiac Smokers (BAT-CS)] or control (smoking cessation and general health education). Both groups will be offered 8 weeks of the nicotine patch if medically cleared. Counseling in both arms will be provided by tobacco treatment specialists. Follow-up assessments will be conducted at end-of-treatment (12-weeks) and 6, 9, and 12 months after hospital discharge. We will track major adverse cardiac events and all-cause mortality for 36 months post-discharge. Primary outcomes are depressed mood and biochemically validated 7-day point prevalence abstinence from smoking over 12 months. DISCUSSION Results of this study will inform smoking cessation treatments post-ACS and provide unique data on the impact of depressed mood on success of post-ACS health behavior change attempts. TRIAL REGISTRATION ClinicalTrials.gov, NCT03413423. Registered 29 January 2018. https://beta. CLINICALTRIALS gov/study/NCT03413423 .
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Affiliation(s)
- Melissa Adkins-Hempel
- Behavioral Health Equity Research Group, Hennepin Healthcare Research Institute, 701 Park Ave. S9.104, Minneapolis, MN, 55415, USA
| | - Sandra J Japuntich
- Behavioral Health Equity Research Group, Hennepin Healthcare Research Institute, 701 Park Ave. S9.104, Minneapolis, MN, 55415, USA
- Division of Clinical Pharmacology, Department of Medicine, Hennepin Healthcare, 900 S. 8th St., G5, Minneapolis, MN, 55415, USA
- Division of General Internal Medicine, Department of Medicine, University of Minnesota, 401 East River Parkway, Suite 131, Minneapolis, MN, 55455, USA
| | - Michelle Chrastek
- Behavioral Health Equity Research Group, Hennepin Healthcare Research Institute, 701 Park Ave. S9.104, Minneapolis, MN, 55415, USA
| | - Shira Dunsiger
- Department of Behavioral and Social Sciences, Center for Health Promotion and Health Equity, School of Public Health, Brown University, 121 South Main St., Providence, RI, 02903, USA
- Department of Epidemiology, School of Public Health, Brown University, 121 South Main St., Providence, RI, 02903, USA
| | - Christopher E Breault
- Center for Behavioral and Preventative Medicine, Lifespan, 1 Hoppin St., Suite 309, Providence, RI, 02903, USA
| | - Woubeshet Ayenew
- Division of Cardiology, Department of Medicine, Hennepin Healthcare, 900 South 8th St., O5, Minneapolis, MN, 55415, USA
- Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, 420 Delaware Street SE, MMC 508, Minneapolis, MN, 55455, USA
| | - Susan A Everson-Rose
- Division of General Internal Medicine, Department of Medicine, University of Minnesota, 401 East River Parkway, Suite 131, Minneapolis, MN, 55455, USA
- Program in Health Disparities Research, University of Minnesota, 717 Delaware St. SE, Suite 166, Minneapolis, MN, 55414, USA
| | - Prabhjot S Nijjar
- Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, 420 Delaware Street SE, MMC 508, Minneapolis, MN, 55455, USA
| | - Beth C Bock
- Center for Behavioral and Preventative Medicine, Lifespan, 1 Hoppin St., Suite 309, Providence, RI, 02903, USA
- Department of Psychiatry and Human Behavior, Alpert School of Medicine, Brown University, 700 Butler Drive, Providence, RI, 02906, USA
| | - Wen-Chih Wu
- Department of Epidemiology, School of Public Health, Brown University, 121 South Main St., Providence, RI, 02903, USA
- Center of Innovation in Long Term Services and Support, Providence VA Medical Center, 830 Chalkstone Ave., Providence, RI, 02908, USA
- Cardiovascular Rehab Center, Lifespan, 208 Collyer St., Providence, RI, 02904, USA
| | - Michael D Miedema
- Minneapolis Heart Institute and Minneapolis Heart Institute Foundation, 920 East 28th St., Suite 480, Minneapolis, MN, 55407, USA
| | - Brett M Carlson
- North Memorial Health Heart and Vascular Center, 3300 Oakdale Ave. N., Suite 200, Robbinsdale, MN, 55422, USA
| | - Andrew M Busch
- Behavioral Health Equity Research Group, Hennepin Healthcare Research Institute, 701 Park Ave. S9.104, Minneapolis, MN, 55415, USA.
- Division of Clinical Pharmacology, Department of Medicine, Hennepin Healthcare, 900 S. 8th St., G5, Minneapolis, MN, 55415, USA.
- Division of General Internal Medicine, Department of Medicine, University of Minnesota, 401 East River Parkway, Suite 131, Minneapolis, MN, 55455, USA.
- Program in Health Disparities Research, University of Minnesota, 717 Delaware St. SE, Suite 166, Minneapolis, MN, 55414, USA.
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Dunsiger SI, Bock BC, Horowitz S, Lantini R, Jennings E, Thind H. Advertising Effectiveness for Recruitment and Retention in a Trial of Yoga for Smoking Cessation. AMERICAN JOURNAL OF HEALTH EDUCATION 2022. [DOI: 10.1080/19325037.2022.2071782] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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Abstract
BACKGROUND Mindfulness-based smoking cessation interventions may aid smoking cessation by teaching individuals to pay attention to, and work mindfully with, negative affective states, cravings, and other symptoms of nicotine withdrawal. Types of mindfulness-based interventions include mindfulness training, which involves training in meditation; acceptance and commitment therapy (ACT); distress tolerance training; and yoga. OBJECTIVES To assess the efficacy of mindfulness-based interventions for smoking cessation among people who smoke, and whether these interventions have an effect on mental health outcomes. SEARCH METHODS We searched the Cochrane Tobacco Addiction Group's specialised register, CENTRAL, MEDLINE, Embase, PsycINFO, and trial registries to 15 April 2021. We also employed an automated search strategy, developed as part of the Human Behaviour Change Project, using Microsoft Academic. SELECTION CRITERIA We included randomised controlled trials (RCTs) and cluster-RCTs that compared a mindfulness-based intervention for smoking cessation with another smoking cessation programme or no treatment, and assessed smoking cessation at six months or longer. We excluded studies that solely recruited pregnant women. DATA COLLECTION AND ANALYSIS We followed standard Cochrane methods. We measured smoking cessation at the longest time point, using the most rigorous definition available, on an intention-to-treat basis. We calculated risk ratios (RRs) and 95% confidence intervals (CIs) for smoking cessation for each study, where possible. We grouped eligible studies according to the type of intervention and type of comparator. We carried out meta-analyses where appropriate, using Mantel-Haenszel random-effects models. We summarised mental health outcomes narratively. MAIN RESULTS We included 21 studies, with 8186 participants. Most recruited adults from the community, and the majority (15 studies) were conducted in the USA. We judged four of the studies to be at low risk of bias, nine at unclear risk, and eight at high risk. Mindfulness-based interventions varied considerably in design and content, as did comparators, therefore, we pooled small groups of relatively comparable studies. We did not detect a clear benefit or harm of mindfulness training interventions on quit rates compared with intensity-matched smoking cessation treatment (RR 0.99, 95% CI 0.67 to 1.46; I2 = 0%; 3 studies, 542 participants; low-certainty evidence), less intensive smoking cessation treatment (RR 1.19, 95% CI 0.65 to 2.19; I2 = 60%; 5 studies, 813 participants; very low-certainty evidence), or no treatment (RR 0.81, 95% CI 0.43 to 1.53; 1 study, 325 participants; low-certainty evidence). In each comparison, the 95% CI encompassed benefit (i.e. higher quit rates), harm (i.e. lower quit rates) and no difference. In one study of mindfulness-based relapse prevention, we did not detect a clear benefit or harm of the intervention over no treatment (RR 1.43, 95% CI 0.56 to 3.67; 86 participants; very low-certainty evidence). We did not detect a clear benefit or harm of ACT on quit rates compared with less intensive behavioural treatments, including nicotine replacement therapy alone (RR 1.27, 95% CI 0.53 to 3.02; 1 study, 102 participants; low-certainty evidence), brief advice (RR 1.27, 95% CI 0.59 to 2.75; 1 study, 144 participants; very low-certainty evidence), or less intensive ACT (RR 1.00, 95% CI 0.50 to 2.01; 1 study, 100 participants; low-certainty evidence). There was a high level of heterogeneity (I2 = 82%) across studies comparing ACT with intensity-matched smoking cessation treatments, meaning it was not appropriate to report a pooled result. We did not detect a clear benefit or harm of distress tolerance training on quit rates compared with intensity-matched smoking cessation treatment (RR 0.87, 95% CI 0.26 to 2.98; 1 study, 69 participants; low-certainty evidence) or less intensive smoking cessation treatment (RR 1.63, 95% CI 0.33 to 8.08; 1 study, 49 participants; low-certainty evidence). We did not detect a clear benefit or harm of yoga on quit rates compared with intensity-matched smoking cessation treatment (RR 1.44, 95% CI 0.40 to 5.16; 1 study, 55 participants; very low-certainty evidence). Excluding studies at high risk of bias did not substantially alter the results, nor did using complete case data as opposed to using data from all participants randomised. Nine studies reported on changes in mental health and well-being, including depression, anxiety, perceived stress, and negative and positive affect. Variation in measures and methodological differences between studies meant we could not meta-analyse these data. One study found a greater reduction in perceived stress in participants who received a face-to-face mindfulness training programme versus an intensity-matched programme. However, the remaining eight studies found no clinically meaningful differences in mental health and well-being between participants who received mindfulness-based treatments and participants who received another treatment or no treatment (very low-certainty evidence). AUTHORS' CONCLUSIONS We did not detect a clear benefit of mindfulness-based smoking cessation interventions for increasing smoking quit rates or changing mental health and well-being. This was the case when compared with intensity-matched smoking cessation treatment, less intensive smoking cessation treatment, or no treatment. However, the evidence was of low and very low certainty due to risk of bias, inconsistency, and imprecision, meaning future evidence may very likely change our interpretation of the results. Further RCTs of mindfulness-based interventions for smoking cessation compared with active comparators are needed. There is also a need for more consistent reporting of mental health and well-being outcomes in studies of mindfulness-based interventions for smoking cessation.
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Affiliation(s)
- Sarah Jackson
- Department of Behavioural Science and Health, University College London, London, UK
| | - Jamie Brown
- Department of Behavioural Science and Health, University College London, London, UK
| | - Emma Norris
- Health Behaviour Change Research Group, Brunel University London, London, UK
| | | | - Emily Hayes
- Centre for Behaviour Change, University College London, London, UK
| | - Nicola Lindson
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
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Gupta S, Jhanjee S, Dhawan A. Effectiveness of Interventions Based on Yogic Breathing Practices (IB-YBP) on Substance Use Disorders-A Systematic Review of the Randomized Control Trials and Quasi-Experimental Trials. Subst Use Misuse 2021; 56:1624-1641. [PMID: 34286672 DOI: 10.1080/10826084.2021.1942056] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
Interventions based on Yogic Breathing Practices (IB-YBP) have shown promising results for substance use disorders (SUD). Research in this area is methodologically heterogeneous and only a few, but restricted, systematic reviews are available. The current systematic review aims to assess the effectiveness of IB-YBP for SUD. Materials and Methods: PubMed, Cochrane's Library, EBSCO-Medline, and Google Scholar databases were searched for the randomized- (RCTs) and quasi-randomized trials. Research involving participants with SUD, of either gender or any age, assessing the effectiveness of the IB-YBP either as a standalone intervention or as an adjuvant to standard treatment versus standard pharmacological/non-pharmacological treatment or no-intervention control were included. Studies having participants with co-morbid psychiatric illness and interventions not having IB-YBP as the predominant component were excluded. Results: The initial literature search yielded 396 articles and upon screening, only 14 studies were found eligible for this review. Most studies have researched IB-YBP as an adjunct to the standard treatment for SUD. Evidence for the effectiveness of IB-YBP is mostly available for tobacco and opioid use disorders, though only for short-term outcomes; however, literature is scarce for alcohol- and cocaine-use disorders. This review documented the effectiveness of the IB-YBP for substance use-related outcome parameters such as abstinence, quality of life (QoL), mood, craving, and withdrawal symptoms. Conclusion: IB-YBP may be an effective adjuvant to standard treatment for various SUD. However, more research is required to compare its effectiveness with standard treatment, and assessing its long-term efficacy, for it to be strongly recommended as a treatment strategy.
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Affiliation(s)
- Snehil Gupta
- Department of Psychiatry, All India Institute of Medical Sciences, Bhopal, India
| | - Sonali Jhanjee
- National Drug Dependence Treatment Centre (NDDTC) & Department of Psychiatry, All India Institute of Medical Sciences, New Delhi, India
| | - Anju Dhawan
- National Drug Dependence Treatment Centre (NDDTC) & Department of Psychiatry, All India Institute of Medical Sciences, New Delhi, India
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Sivapuram MS, Nagarathna R, Anand A, Patil S, Singh A, Nagendra HR. Prevalence of Alcohol and Tobacco Use in India and Implications for COVID-19 - Niyantrita Madhumeha Bharata Study Projections. J Med Life 2020; 13:499-509. [PMID: 33456598 PMCID: PMC7803324 DOI: 10.25122/jml-2020-0079] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Accepted: 06/26/2020] [Indexed: 11/29/2022] Open
Abstract
Abuse of legal substances in India includes alcohol and tobacco, which are the major risk factors for various non-communicable diseases and deaths. The current pandemic has identified tobacco consumption as a risk factor for COVID-19, highlighting the need to control substance abuse. The objective of this study was to estimate the prevalence of substance abuse in India and discuss the cost-effective public health strategies (such as yoga) to alleviate COVID-related anxiety in order to prevent substance abuse and its associated co-morbidities such as type 2 diabetes mellitus. This study reports the data on tobacco and alcohol abuse from a nationwide randomized two-arm diabetes control trial (Niyantrita Madhumeha Bharata, 2017) conducted by the Indian Yoga Association (IYA) through Swami Vivekananda Yoga Anusandhana Samsthana (S-VYASA), Bengaluru. Data of 30,354 participants who abuse tobacco and 30,159 participants who abuse alcohol were collected all over India. The prevalence is estimated at around 8.7% for alcohol abuse and 7.9% for tobacco abuse, Arunachal Pradesh state ranking the highest regarding both alcohol and tobacco abuse, while the Tripura state ranked the lowest. School and college-based mandatory yoga programs need to be implemented to prevent the increase of substance abuse in India to alleviate the psychosocial stress of adolescents and college-going students, besides the installation of the mindfulness-based diabetes yoga protocol (DYP) in the wellness centers of Ayushman Bharat.
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Affiliation(s)
- Madhava Sai Sivapuram
- Department of General Medicine, Dr. Pinnamaneni Siddhartha Institute of Medical Sciences and Research Foundation, Chinna-Avutapalli, Andhra Pradesh, India
| | - Raghuram Nagarathna
- Department of Life Sciences, Swami Vivekananda Yoga Anusandhana Samsthana, Bengaluru, India
| | - Akshay Anand
- Neuroscience Research Lab, Department of Neurology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Suchitra Patil
- Department of Life Sciences, Swami Vivekananda Yoga Anusandhana Samsthana, Bengaluru, India
| | - Amit Singh
- Department of Life Sciences, Swami Vivekananda Yoga Anusandhana Samsthana, Bengaluru, India
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Bock BC, Dunsiger SI, Rosen RK, Thind H, Jennings E, Fava JL, Becker BM, Carmody J, Marcus BH. Yoga as a Complementary Therapy for Smoking Cessation: Results From BreathEasy, a Randomized Clinical Trial. Nicotine Tob Res 2020; 21:1517-1523. [PMID: 30295912 DOI: 10.1093/ntr/nty212] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
INTRODUCTION There is evidence that Yoga may be helpful as an aid for smoking cessation. Yoga has been shown to reduce stress and negative mood and may aid weight control, all of which have proven to be barriers to quitting smoking. This study is the first rigorous, randomized clinical trial of Yoga as a complementary therapy for smokers attempting to quit. METHODS Adult smokers (N = 227; 55.5% women) were randomized to an 8-week program of cognitive-behavioral smoking cessation and either twice-weekly Iyengar Yoga or general Wellness classes (control). Assessments included cotinine-verified 7-day point prevalence abstinence at week 8, 3-month, and 6-month follow-ups. RESULTS At baseline, participants' mean age was 46.2 (SD = 12.0) years and smoking rate was 17.3 (SD = 7.6) cigarettes/day. Longitudinally adjusted models of abstinence outcomes demonstrated significant group effects favoring Yoga. Yoga participants had 37% greater odds of achieving abstinence than Wellness participants at the end of treatment (EOT). Lower baseline smoking rates (≤10 cigarettes/day) were also associated with higher likelihood of quitting if given Yoga versus Wellness (OR = 2.43, 95% CI = 1.09% to 6.30%) classes at EOT. A significant dose effect was observed for Yoga (OR = 1.12, 95% CI = 1.09% to 1.26%), but not Wellness, such that each Yoga class attended increased quitting odds at EOT by 12%. Latent Class Modeling revealed a 4-class model of distinct quitting patterns among participants. CONCLUSIONS Yoga appears to increase the odds of successful smoking abstinence, particularly among light smokers. Additional work is needed to identify predictors of quitting patterns and inform adjustments to therapy needed to achieve cessation and prevent relapse. IMPLICATIONS This study adds to our knowledge of the types of physical activity that aid smoking cessation. Yoga increases the odds of successful smoking abstinence, and does so in a dose-response manner. This study also revealed four distinct patterns of smoking behavior among participants relevant to quitting smoking. Additional work is needed to determine whether variables that are predictive of these quitting patterns can be identified, which might suggest modifications to therapy for those who are unable to quit.
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Affiliation(s)
- Beth C Bock
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School, Brown University, Providence, RI.,Brown School of Public Health, Brown University, Providence, RI.,Centers for Behavioral and Preventive Medicine, The Miriam Hospital, Providence, RI
| | - Shira I Dunsiger
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School, Brown University, Providence, RI.,Brown School of Public Health, Brown University, Providence, RI.,Centers for Behavioral and Preventive Medicine, The Miriam Hospital, Providence, RI
| | - Rochelle K Rosen
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School, Brown University, Providence, RI.,Brown School of Public Health, Brown University, Providence, RI.,Centers for Behavioral and Preventive Medicine, The Miriam Hospital, Providence, RI
| | - Herpreet Thind
- Department of Public Health, Zuckerberg College of Health Sciences, University of Massachusetts Lowell, Lowell, MA
| | - Ernestine Jennings
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School, Brown University, Providence, RI.,Brown School of Public Health, Brown University, Providence, RI.,Centers for Behavioral and Preventive Medicine, The Miriam Hospital, Providence, RI
| | - Joseph L Fava
- Centers for Behavioral and Preventive Medicine, The Miriam Hospital, Providence, RI
| | - Bruce M Becker
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School, Brown University, Providence, RI.,Brown School of Public Health, Brown University, Providence, RI.,Rhode Island Hospital, Providence, RI
| | - James Carmody
- Department of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA
| | - Bess H Marcus
- Brown School of Public Health, Brown University, Providence, RI
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Livingstone‐Banks J, Norris E, Hartmann‐Boyce J, West R, Jarvis M, Chubb E, Hajek P. Relapse prevention interventions for smoking cessation. Cochrane Database Syst Rev 2019; 2019:CD003999. [PMID: 31684681 PMCID: PMC6816175 DOI: 10.1002/14651858.cd003999.pub6] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
BACKGROUND A number of treatments can help smokers make a successful quit attempt, but many initially successful quitters relapse over time. Several interventions have been proposed to help prevent relapse. OBJECTIVES To assess whether specific interventions for relapse prevention reduce the proportion of recent quitters who return to smoking. SEARCH METHODS We searched the Cochrane Tobacco Addiction Group trials register, clinicaltrials.gov, and the ICTRP in May 2019 for studies mentioning relapse prevention or maintenance in their title, abstracts, or keywords. SELECTION CRITERIA Randomised or quasi-randomised controlled trials of relapse prevention interventions with a minimum follow-up of six months. We included smokers who quit on their own, were undergoing enforced abstinence, or were participating in treatment programmes. We included studies that compared relapse prevention interventions with a no intervention control, or that compared a cessation programme with additional relapse prevention components with a cessation programme alone. DATA COLLECTION AND ANALYSIS We used standard methodological procedures expected by Cochrane. MAIN RESULTS We included 81 studies (69,094 participants), five of which are new to this update. We judged 22 studies to be at high risk of bias, 53 to be at unclear risk of bias, and six studies to be at low risk of bias. Fifty studies included abstainers, and 30 studies helped people to quit and then tested treatments to prevent relapse. Twenty-eight studies focused on special populations who were abstinent because of pregnancy (19 studies), hospital admission (six studies), or military service (three studies). Most studies used behavioural interventions that tried to teach people skills to cope with the urge to smoke, or followed up with additional support. Some studies tested extended pharmacotherapy. We focused on results from those studies that randomised abstainers, as these are the best test of relapse prevention interventions. Of the 12 analyses we conducted in abstainers, three pharmacotherapy analyses showed benefits of the intervention: extended varenicline in assisted abstainers (2 studies, n = 1297, risk ratio (RR) 1.23, 95% confidence interval (CI) 1.08 to 1.41, I2 = 82%; moderate-certainty evidence), rimonabant in assisted abstainers (1 study, RR 1.29, 95% CI 1.08 to 1.55), and nicotine replacement therapy (NRT) in unaided abstainers (2 studies, n = 2261, RR 1.24, 95% Cl 1.04 to 1.47, I2 = 56%). The remainder of analyses of pharmacotherapies in abstainers had wide confidence intervals consistent with both no effect and a statistically significant effect in favour of the intervention. These included NRT in hospital inpatients (2 studies, n = 1078, RR 1.23, 95% CI 0.94 to 1.60, I2 = 0%), NRT in assisted abstainers (2 studies, n = 553, RR 1.04, 95% CI 0.77 to 1.40, I2 = 0%; low-certainty evidence), extended bupropion in assisted abstainers (6 studies, n = 1697, RR 1.15, 95% CI 0.98 to 1.35, I2 = 0%; moderate-certainty evidence), and bupropion plus NRT (2 studies, n = 243, RR 1.18, 95% CI 0.75 to 1.87, I2 = 66%; low-certainty evidence). Analyses of behavioural interventions in abstainers did not detect an effect. These included studies in abstinent pregnant and postpartum women at the end of pregnancy (8 studies, n = 1523, RR 1.05, 95% CI 0.99 to 1.11, I2 = 0%) and at postpartum follow-up (15 studies, n = 4606, RR 1.02, 95% CI 0.94 to 1.09, I2 = 3%), studies in hospital inpatients (5 studies, n = 1385, RR 1.10, 95% CI 0.82 to 1.47, I2 = 58%), and studies in assisted abstainers (11 studies, n = 5523, RR 0.98, 95% CI 0.87 to 1.11, I2 = 52%; moderate-certainty evidence) and unaided abstainers (5 studies, n = 3561, RR 1.06, 95% CI 0.96 to 1.16, I2 = 1%) from the general population. AUTHORS' CONCLUSIONS Behavioural interventions that teach people to recognise situations that are high risk for relapse along with strategies to cope with them provided no worthwhile benefit in preventing relapse in assisted abstainers, although unexplained statistical heterogeneity means we are only moderately certain of this. In people who have successfully quit smoking using pharmacotherapy, there were mixed results regarding extending pharmacotherapy for longer than is standard. Extended treatment with varenicline helped to prevent relapse; evidence for the effect estimate was of moderate certainty, limited by unexplained statistical heterogeneity. Moderate-certainty evidence, limited by imprecision, did not detect a benefit from extended treatment with bupropion, though confidence intervals mean we could not rule out a clinically important benefit at this stage. Low-certainty evidence, limited by imprecision, did not show a benefit of extended treatment with nicotine replacement therapy in preventing relapse in assisted abstainers. More research is needed in this area, especially as the evidence for extended nicotine replacement therapy in unassisted abstainers did suggest a benefit.
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Affiliation(s)
| | - Emma Norris
- University College LondonCentre for Behaviour ChangeLondonUK
| | | | - Robert West
- University College LondonDepartment of Behavioural Science and Health1‐19 Torrington PlaceLondonUKWC1E 6BT
| | - Martin Jarvis
- University College LondonHealth Behavior Research Centre of Cancer Research UK, Department of Epidemiology and Public Health2‐16 Torrington PlaceLondonUKWC1E 6BT
| | - Emma Chubb
- Cardiff UniversitySchool of PsychologyCardiffUK
| | - Peter Hajek
- Barts & The London School of Medicine and Dentistry, Queen Mary University of LondonWolfson Institute of Preventive Medicine55 Philpot StreetLondonUKE1 2HJ
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Uebelacker LA, Feltus S, Jones R, Tremont GN, Miller IW. Weekly assessment of number of yoga classes and amount of yoga home practice: Agreement with daily diaries. Complement Ther Med 2019; 43:227-231. [PMID: 30935535 DOI: 10.1016/j.ctim.2019.02.009] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2019] [Revised: 02/07/2019] [Accepted: 02/07/2019] [Indexed: 11/28/2022] Open
Abstract
OBJECTIVE To evaluate a weekly yoga practice assessment instrument designed to assess number of classes attended in the previous week, number of times engaged in formal home yoga practice, total number of minutes engaged in formal home yoga practice in the past week, and number of times engaged in informal home yoga practice. "Informal" practice was defined as "in the middle of other activities, you spent a few moments engaged in asanas/postures, focus on breath, body awareness, or very brief meditation, for less than 5 min at a time." We assessed agreement between this weekly assessment and a daily home practice log. DESIGN AND SETTING Seventy-two community yoga practitioners completed online daily yoga logs for 28 days as well as the weekly yoga practice assessment four times over the 28 day period. RESULTS We examined agreement between the two methods on the four indices of amount of weekly yoga practice. We found acceptable agreement between the two methods for number of classes, number of times engaged in formal home practice, and total number of minutes engaged in formal home practice. Agreement was lower for number of times engaged in informal practice. CONCLUSIONS These data provide support for use of a weekly yoga practice assessment to assess number of classes attended and amount of formal but not informal home practice.
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Affiliation(s)
- Lisa A Uebelacker
- Butler Hospital, Providence, RI, United States; Alpert Medical School of Brown University, Providence, RI, United States.
| | - Sage Feltus
- Butler Hospital, Providence, RI, United States
| | - Rich Jones
- Alpert Medical School of Brown University, Providence, RI, United States
| | - Geoffrey N Tremont
- Alpert Medical School of Brown University, Providence, RI, United States; Rhode Island Hospital, Providence, RI, United States
| | - Ivan W Miller
- Butler Hospital, Providence, RI, United States; Alpert Medical School of Brown University, Providence, RI, United States
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Livingstone‐Banks J, Norris E, Hartmann‐Boyce J, West R, Jarvis M, Hajek P. Relapse prevention interventions for smoking cessation. Cochrane Database Syst Rev 2019; 2:CD003999. [PMID: 30758045 PMCID: PMC6372978 DOI: 10.1002/14651858.cd003999.pub5] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
BACKGROUND A number of treatments can help smokers make a successful quit attempt, but many initially successful quitters relapse over time. Several interventions have been proposed to help prevent relapse. OBJECTIVES To assess whether specific interventions for relapse prevention reduce the proportion of recent quitters who return to smoking. SEARCH METHODS We searched the Cochrane Tobacco Addiction Group trials register, clinicaltrials.gov, and the ICTRP in February 2018 for studies mentioning relapse prevention or maintenance in their title, abstracts, or keywords. SELECTION CRITERIA Randomised or quasi-randomised controlled trials of relapse prevention interventions with a minimum follow-up of six months. We included smokers who quit on their own, were undergoing enforced abstinence, or were participating in treatment programmes. We included studies that compared relapse prevention interventions with a no intervention control, or that compared a cessation programme with additional relapse prevention components with a cessation programme alone. DATA COLLECTION AND ANALYSIS We used standard methodological procedures expected by Cochrane. MAIN RESULTS We included 77 studies (67,285 participants), 15 of which are new to this update. We judged 21 studies to be at high risk of bias, 51 to be at unclear risk of bias, and five studies to be at low risk of bias. Forty-eight studies included abstainers, and 29 studies helped people to quit and then tested treatments to prevent relapse. Twenty-six studies focused on special populations who were abstinent because of pregnancy (18 studies), hospital admission (five studies), or military service (three studies). Most studies used behavioural interventions that tried to teach people skills to cope with the urge to smoke, or followed up with additional support. Some studies tested extended pharmacotherapy.We focused on results from those studies that randomised abstainers, as these are the best test of relapse prevention interventions. Of the 12 analyses we conducted in abstainers, three pharmacotherapy analyses showed benefits of the intervention: extended varenicline in assisted abstainers (2 studies, n = 1297, risk ratio (RR) 1.23, 95% confidence interval (CI) 1.08 to 1.41, I² = 82%; moderate certainty evidence), rimonabant in assisted abstainers (1 study, RR 1.29, 95% CI 1.08 to 1.55), and nicotine replacement therapy (NRT) in unaided abstainers (2 studies, n = 2261, RR 1.24, 95% Cl 1.04 to 1.47, I² = 56%). The remainder of analyses of pharmacotherapies in abstainers had wide confidence intervals consistent with both no effect and a statistically significant effect in favour of the intervention. These included NRT in hospital inpatients (2 studies, n = 1078, RR 1.23, 95% CI 0.94 to 1.60, I² = 0%), NRT in assisted abstainers (2 studies, n = 553, RR 1.04, 95% CI 0.77 to 1.40, I² = 0%; low certainty evidence), extended bupropion in assisted abstainers (6 studies, n = 1697, RR 1.15, 95% CI 0.98 to 1.35, I² = 0%; moderate certainty evidence), and bupropion plus NRT (2 studies, n = 243, RR 1.18, 95% CI 0.75 to 1.87, I² = 66%; low certainty evidence). Analyses of behavioural interventions in abstainers did not detect an effect. These included studies in abstinent pregnant and postpartum women at end of pregnancy (8 studies, n = 1523, RR 1.05, 95% CI 0.99 to 1.11, I² = 0%) and at postpartum follow-up (15 studies, n = 4606, RR 1.02, 95% CI 0.94 to 1.09, I² = 3%), studies in hospital inpatients (4 studies, n = 1300, RR 0.95, 95% CI 0.81 to 1.11, I² = 0%), and studies in assisted abstainers (10 studies, n = 5408, RR 0.99, 95% CI 0.87 to 1.13, I² = 56%; moderate certainty evidence) and unaided abstainers (5 studies, n = 3561, RR 1.06, 95% CI 0.96 to 1.16, I² = 1%) from the general population. AUTHORS' CONCLUSIONS Behavioural interventions that teach people to recognise situations that are high risk for relapse along with strategies to cope with them provided no worthwhile benefit in preventing relapse in assisted abstainers, although unexplained statistical heterogeneity means we are only moderately certain of this. In people who have successfully quit smoking using pharmacotherapy, there were mixed results regarding extending pharmacotherapy for longer than is standard. Extended treatment with varenicline helped to prevent relapse; evidence for the effect estimate was of moderate certainty, limited by unexplained statistical heterogeneity. Moderate-certainty evidence, limited by imprecision, did not detect a benefit from extended treatment with bupropion, though confidence intervals mean we could not rule out a clinically important benefit at this stage. Low-certainty evidence, limited by imprecision, did not show a benefit of extended treatment with nicotine replacement therapy in preventing relapse in assisted abstainers. More research is needed in this area, especially as the evidence for extended nicotine replacement therapy in unassisted abstainers did suggest a benefit.
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Affiliation(s)
| | - Emma Norris
- University College LondonCentre for Behaviour ChangeLondonUK
| | | | - Robert West
- University College LondonDepartment of Behavioural Science and Health1‐19 Torrington PlaceLondonUKWC1E 6BT
| | - Martin Jarvis
- University College LondonHealth Behavior Research Centre of Cancer Research UK, Department of Epidemiology and Public Health2‐16 Torrington PlaceLondonUKWC1E 6BT
| | - Peter Hajek
- Barts & The London School of Medicine and Dentistry, Queen Mary University of LondonWolfson Institute of Preventive Medicine55 Philpot StreetLondonUKE1 2HJ
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Butt Why? Exploring factors associated with cigarette scavenging behaviors among adult smokers enrolling in a clinical trial for smoking cessation. Addict Behav 2018; 78:200-204. [PMID: 29202347 DOI: 10.1016/j.addbeh.2017.11.037] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2017] [Revised: 11/16/2017] [Accepted: 11/24/2017] [Indexed: 11/21/2022]
Abstract
INTRODUCTION Cigarette smoking is associated with many adverse health effects and is an important public health concern. Increased understanding of smokers' behavior is central to developing effective interventions. Cigarette scavenging, a behavior that involves smoking shared or previously used cigarettes has thus far only been shown to be prevalent among homeless or incarcerated populations. The current study examines whether cigarette scavenging is prevalent in a more general population of adult smokers enrolling in a smoking cessation clinical trial, and whether engagement in this behavior is associated with demographic or smoking-related psychosocial factors. METHODS Baseline data was obtained from adult smokers (N=227) enrolling in a randomized clinical trial for smoking cessation. Cigarette scavenging was assessed using three items: a) sharing a cigarette with a stranger; b) smoking a "found" cigarette and c) smoking a previously used cigarette "butt". Participants who endorsed engaging in at least one of these three behaviors were categorized as a scavenger. RESULTS Approximately 32% of participants endorsed at least one cigarette scavenging behavior. A multiple logistic regression analysis found that scavengers were more likely to be: men (p<0.001), of younger age at smoking onset (p=0.012), unemployed (p=0.003), more likely to have used marijuana in the past 30days (p=0.005), single or living alone (p=0.003), and to have experienced higher withdrawal symptoms during previous quit attempts (p=0.044) as compared to non-scavengers. CONCLUSIONS Scavenging is common among adult smokers. Interventions that address cigarette scavenging behaviors may better meet the needs of this unique smoking subgroup.
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Lauche R, Langhorst J, Lee MS, Dobos G, Cramer H. A systematic review and meta-analysis on the effects of yoga on weight-related outcomes. Prev Med 2016; 87:213-232. [PMID: 27058944 DOI: 10.1016/j.ypmed.2016.03.013] [Citation(s) in RCA: 55] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/10/2015] [Revised: 01/26/2016] [Accepted: 03/17/2016] [Indexed: 01/16/2023]
Abstract
INTRODUCTION Overweight and obesity are among the most important modifiable risk factors for chronic diseases and premature death. The aim of this review was to systematically assess and analyze the effects of yoga on weight-related outcomes. METHODS Medline/PubMed, Scopus, and the Cochrane Library were screened through March 2015 for randomized controlled trials on yoga for weight-related outcomes in the general population or overweight/obese individuals. Risk of bias was assessed using the Cochrane risk of bias tool on the following domains: selection bias, performance bias, detection bias, attrition bias, reporting bias, and other bias. RESULTS Out of 445 records identified during literature search, 30 trials with a total of 2173 participants were included. No effects on weight, body mass index, body fat percentage or waist circumference were found. In studies with healthy adult participants an effect of yoga compared to usual care was found regarding waist/hip ratio (SMD=--1.00; 95% CI=--1.44, -0.55; p<0.001). In studies with overweight/obese participants only, effects relative to usual care were found for body mass index (SMD=-0.99; 95% CI=-1.67, -0.31; p=0.004). Effects however were not robust against selection bias; and publication bias could not be ruled out. No intervention-related adverse events were reported. CONCLUSIONS Despite methodological drawbacks, yoga can be preliminarily considered a safe and effective intervention to reduce body mass index in overweight or obese individuals.
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Affiliation(s)
- Romy Lauche
- Department of Internal and Integrative Medicine, Kliniken Essen-Mitte, Faculty of Medicine, University of Duisburg-Essen, Essen, Germany; Australian Research Centre in Complementary and Integrative Medicine (ARCCIM), University of Technology Sydney, Sydney, Australia
| | - Jost Langhorst
- Department of Internal and Integrative Medicine, Kliniken Essen-Mitte, Faculty of Medicine, University of Duisburg-Essen, Essen, Germany
| | - Myeong Soo Lee
- Medical Research Division, Korea Institute of Oriental Medicine, Daejeon, South Korea
| | - Gustav Dobos
- Department of Internal and Integrative Medicine, Kliniken Essen-Mitte, Faculty of Medicine, University of Duisburg-Essen, Essen, Germany
| | - Holger Cramer
- Department of Internal and Integrative Medicine, Kliniken Essen-Mitte, Faculty of Medicine, University of Duisburg-Essen, Essen, Germany; Australian Research Centre in Complementary and Integrative Medicine (ARCCIM), University of Technology Sydney, Sydney, Australia.
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