scholarly journals Is Weight Gain Inevitable for Patients Trying to Quit Smoking as Part of Cardiac Rehabilitation?

2020 ◽  
Vol 17 (22) ◽  
pp. 8565
Author(s):  
Ahmad Salman ◽  
Patrick Doherty
Keyword(s):  
Physical Activity ◽  
Smoking Cessation ◽  
Body Weight ◽  
Weight Gain ◽  
Cardiac Rehabilitation ◽  
Self Report ◽  
Routine Practice ◽  
Quit Smoking ◽  
Quitting Smoking ◽  
The Uk

The literature is uncertain about the extent to which those who attend cardiac rehabilitation (CR) gain weight while trying to quit smoking. This study aimed to determine the extent of CR-based smoking cessation provision and whether CR, as delivered in routine practice, is associated with helping patients quit smoking and avoid weight gain. Data from the UK National Audit of Cardiac Rehabilitation database, between April 2013 and March 2016, were used. Smoking status is categorised as smokers and quitters assessed by patient self-report. Outcomes included body weight, blood pressure, depression, and physical activity. A multiple linear regression model was constructed to understand the effect of continuing smoking or quitting smoking on CR outcomes. CR outcome scores were adjusted by the baseline CR score for each characteristic. An e-survey collected information about the smoking cessation support offered to patients attending CR. A total of 2052 smokers (58.59 ± 10.49 years, 73.6% male) and 1238 quitters (57.63 ± 10.36 years, 75.8% male) were analysed. Overall, 92.6% of CR programmes in the United Kingdom (UK) offer smoking cessation support for CR attenders. Quitting smoking during CR was associated with a mean increase in body weight of 0.4 kg, which is much less than seen in systematic reviews. Quitters who attended CR also had better improvements in physical activity status and psychosocial health measures than smokers. As delivered in routine practice, CR programmes in the UK adhere to the guideline recommendations for smoking cessation interventions, help patients quit smoking, and avoid weight gain on completion of CR.

Abstract P142: Smokers Can Lose Weight When They Quit Smoking

Circulation ◽  
2012 ◽  
Vol 125 (suppl_10) ◽  
Author(s):  
Charlotta H Pisinger ◽  
Ulla Toft ◽  
Torben Jørgensen
Keyword(s):  
Physical Activity ◽  
Weight Loss ◽  
Smoking Cessation ◽  
High Education ◽  
Weight Gain ◽  
Tobacco Consumption ◽  
Quit Smoking ◽  
Quitting Smoking ◽  
Predictors Of Weight Loss

Background: Smoking is one of the major risk factors of CVD. It is well-known that smokers increase weight when they quit smoking, and concomitant weight increase after smoking cessation may blunt beneficial effects of smoking cessation on e.g. glucose metabolism. However, not all smokers gain weight. To our knowledge, predictors of weight-loss after smoking cessation have not previously been investigated. Methods: in a large population-based study, the Inter99 study, 2,408 daily smokers were included at baseline. Out of these, 262 attended the five year follow-up and reported that they had not smoked for at least 12 months. Participants completed self-report questionnaires at baseline and follow-up. In multivariable logistic regression analyses we investigated predictors of weight-loss. Results: A total of 17.6% of the quitters had lost weight from baseline to 5 years follow-up. Neither sex, age, number of daily meals, energy intake, dietary quality, physical activity, alcohol consumption, nor change in physical activity or alcohol consumption from baseline to five year follow-up was associated with weight-loss at five year follow-up. Quitters with high education had significantly higher probability of weight-loss compared to quitters with low education (OR=3.88(1.04–14.50), p=0.044). Increasing BMI at baseline increased (OR=1.20(1.06–1.36), p=0.004) and increasing tobacco consumption decreased (OR=0.93(0.87–0.99), p=0.038) the probability of weight-loss. Furthermore, quitters who reported a healthier diet at five-year follow-up than at baseline had increased probability of weight-loss (OR=3.23(1.07–9.82), p=0.038). The mean weight-gain in quitters with normal baseline BMI was 5.66kg (±4.8), quitters who were overweight at baseline gained 5.32kg (±7.0) and quitters who were obese gained 1.98kg (±8.3), p=0.038. Conclusion: Weight-loss after quitting smoking is feasible and was achieved by about two out of ten quitters. High BMI, high education and low tobacco consumption at baseline and change to a healthier diet predicted weight loss in daily smokers who had quit for at least 12 months. Discussion: Obese smokers who had quit had the lowest weight-gain. A reason could be that normal-weight smokers are used to eat whatever they want, whereas obese smokers are used to focus on what and how much they eat. Obese smokers should definitely not be advised against quitting smoking in fear of further weight-gain. The large positive cardiovascular health effects of quitting overshadow the negative health effects of a small weight gain, and this study shows that weight-loss after smoking cessation is feasible, especially in obese smokers.

scholarly journals Seasonal variation and change trends for quit smoking: evidence from Internet search engine query data

2020 ◽  
Author(s):  
Dingtao Hu ◽  
Xiaoqi Lou ◽  
Nana Meng ◽  
Qiaomei Xie ◽  
Man Zhang ◽  
...  
Keyword(s):  
Time Series ◽  
Smoking Cessation ◽  
Seasonal Variation ◽  
New Zealand ◽  
Google Trends ◽  
Quit Smoking ◽  
Significant Seasonal Variation ◽  
Quitting Smoking ◽  
The Usa ◽  
The Uk

Abstract Background: The outcomes of smoking have generated considerable clinical interest in recent years. Although people from different countries are more interested in the topic of quit smoking during the winter, few studies have tested this hypothesis. The current study aimed to quantify public interest in quitting smoking via Google.Methods: We use Google Trends to obtain the Internet search query volume for terms relating to quit smoking in major northern and southern hemisphere countries in this research. Normally search volumes for the term “quit smoking + stop smoking + smoking-cessation” were retrieved within the USA, the UK, Canada, Ireland, New Zealand and Australia from January 2004 to December 2018. Seasonal effects were investigated using cosinor analysis and seasonal decomposition of time series models.Results: Significant seasonal variation patterns in those search terms were revealed by cosinor analysis and demonstrated by the evidence from Google Trends analysis in the representative countries including the USA (pcos = 2.36×10-7), the UK (pcos < 2.00×10-16), Canada (pcos < 2.00×10-16), Ireland (pcos <2.00×10-16) ,Australia (pcos = 5.13×10-6) and New Zealand (pcos = 4.87×10-7). Time series plots emphasized the consistency of seasonal trends with peaks in winter / late autumn by repeating in nearly all years. The overall trend of search volumes for quitting smoking, observed by dynamic series analysis, has declined from 2004 to 2018.Conclusions: The preliminary evidence from Google Trends search tool showed a significant seasonal variation and a decreasing trend for the RSV of quit smoking. Our novel findings in smoking-cessation epidemiology need to be verified with further studies, and the mechanisms underlying these findings must be clarified.

scholarly journals Predictors of Quitting Smoking in Cardiac Rehabilitation

2020 ◽  
Vol 9 (8) ◽  
pp. 2612
Author(s):  
Ahmad Salman ◽  
Patrick Doherty
Keyword(s):  
Cardiac Rehabilitation ◽  
Smoking Status ◽  
Binary Logistic Regression ◽  
Psychosocial Health ◽  
Self Report ◽  
Effective Strategies ◽  
Patient Demographics ◽  
Quitting Smoking ◽  
Risk Patients ◽  
The Uk

Quitting smoking and participation in cardiac rehabilitation (CR) are effective strategies in reducing morbidity and mortality. However, little is known about the predictors of quitting smoking in those who attend CR. This study aimed to determine the sociodemographic and clinical factors associated with the likelihood of CR attendees who are quitting smoking. Data from the UK National Audit of Cardiac Rehabilitation (NACR) database, between April 2013 and March 2016, were used. Smoking status is categorized as smokers and quitters, assessed by patient self-report. The study used patient demographics, cardiovascular risk factors, comorbidities, and physical and psychosocial health measures. Binary logistic regression was performed to identify the predictors of quitting smoking among CR attendees. Of the 3290 patients who started CR and were entered into the NACR database, 2052 were continued smokers (mean age 58.59 ± 10.49 years, 73.6% men) and 1238 were quitters (mean age 57.63 ± 10.36 years, 75.8% men). The median duration of CR was 9 weeks. Compared to smokers, the quitters were younger, weighed more, were less anxious and depressed, and were more likely to be employed. Single patients had 0.60 times lower odds (95% CI 0.43 to 0.82) of quitting smoking than patients with partners, and low-risk patients had 1.71 times higher odds (95% CI 1.12 to 2.62) of quitting smoking than high-risk patients. Increasing number of comorbidities and depression scores were associated with decreasing likelihood of quitting. This study highlights the routine factors that determine smoking cessation outcomes, which could inform the delivery of CR to better help patients to quit smoking.

scholarly journals Determinants of Smoking Status in a Sample of Outpatients Afferent to a Tertiary Referral Hospital

2019 ◽  
Vol 16 (21) ◽  
pp. 4136
Author(s):  
Alessandro Radaeli ◽  
Matteo Nardin ◽  
Danila Azzolina ◽  
Mario Malerba
Keyword(s):  
Physical Activity ◽  
Smoking Cessation ◽  
Respiratory Disease ◽  
Smoking Status ◽  
Demographic Data ◽  
Smoking Prevention ◽  
Chronic Obstructive ◽  
Coffee Intake ◽  
Quit Smoking ◽  
Quitting Smoking

The identification of determinants of attempts to quit smoking and quitting smoking success is crucial for effective smoking prevention and/or cessation programs. Thus, here we have conducted a survey to determine the sociodemographic characteristics of tobacco use and the potential determinants of quitting smoking among a population of 140 subjects—101 smokers and 39 ex-smokers—referred to our clinic for respiratory diseases. Subject characteristics included demographic data, employment and education status, respiratory disease family history, smoking habits, life habits, diet, alcohol intake, and physical activity. In comparison with former smokers, active smokers were younger, lived with at least one smoking family member, and were more frequently exposed to passive smoke. They also displayed a higher coffee consumption, a higher frequency of in-between-meal snacks, and a lower chronic obstructive pulmonary disease (COPD) prevalence. In comparison with subjects who had never attempted to quit smoking, individuals who had attempted to quit smoking were younger, had a lower pack-year median, consumed a higher amount of coffee and alcohol, and conducted regular physical activity. Determinants of successful smoking cessation were older age, lower passive smoking exposure and daily coffee intake, and COPD diagnosis. Overall, our findings underscore the importance of health education in fostering successful smoking cessation in respiratory disease patients.

scholarly journals Annual rhythms in adults’ lifestyle and health (ARIA): protocol for a 12-month longitudinal study examining temporal patterns in weight, activity, diet, and wellbeing in Australian adults

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Rachel G. Curtis ◽  
Timothy Olds ◽  
François Fraysse ◽  
Dorothea Dumuid ◽  
Gilly A. Hendrie ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Weight ◽  
Weight Gain ◽  
Repeated Measures ◽  
Vigorous Physical Activity ◽  
Activity Patterns ◽  
Intervention Strategy ◽  
Temporal Patterns ◽  
Trial Registration ◽  
Multi Level

Abstract Background Almost one in three Australian adults are now obese, and the rate continues to rise. The causes of obesity are multifaceted and include environmental, cultural and lifestyle factors. Emerging evidence suggests there may be temporal patterns in weight gain related, for example, to season and major festivals such as Christmas, potentially due to changes in diet, daily activity patterns or both. The aim of this study is to track the annual rhythm in body weight, 24 h activity patterns, dietary patterns, and wellbeing in a cohort of Australian adults. In addition, through data linkage with a concurrent children’s cohort study, we aim to examine whether changes in children’s body mass index, activity and diet are related to those of their parents. Methods A community-based sample of 375 parents aged 18 to 65 years old, residing in or near Adelaide, Australia, and who have access to a Bluetooth-enabled mobile device or a computer and home internet, will be recruited. Across a full year, daily activities (minutes of moderate to vigorous physical activity, light physical activity, sedentary behaviour and sleep) will be measured using wrist-worn accelerometry (Fitbit Charge 3). Body weight will be measured daily using Fitbit wifi scales. Self-reported dietary intake (Dietary Questionnaire for Epidemiological Studies V3.2), and psychological wellbeing (WHOQOL-BREF and DASS-21) will be assessed eight times throughout the 12-month period. Annual patterns in weight will be examined using Lowess curves. Associations between changes in weight and changes in activity and diet compositions will be examined using repeated measures multi-level models. The associations between parent’s and children’s weight, activity and diet will be investigated using multi-level models. Discussion Temporal factors, such as day type (weekday or weekend day), cultural celebrations and season, may play a key role in weight gain. The aim is to identify critical opportunities for intervention to assist the prevention of weight gain. Family-based interventions may be an important intervention strategy. Trial registration Australia New Zealand Clinical Trials Registry, identifier ACTRN12619001430123. Prospectively registered on 16 October 2019.

scholarly journals The impact of COVID-19 quarantine on dietary habits and physical activity in Saudi Arabia: a cross-sectional study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Manar Abduljalil Bakhsh ◽  
Jomana Khawandanah ◽  
Rouba Khalil Naaman ◽  
Shoug Alashmali
Keyword(s):  
Physical Activity ◽  
Body Weight ◽  
Weight Gain ◽  
Dietary Habits ◽  
Negative Impact ◽  
Adult Population ◽  
Cross Sectional Study ◽  
Future Health ◽  
Cross Sectional ◽  
The Impact

Abstract Background The COVID-19 pandemic has forced governments around the world to impose strict hygiene and national lockdown measures, which in turn has changed the dietary and lifestyle habits of the world’s population. Thus, the aim of this study is to evaluate whether dietary and physical activity behaviors of Saudi Arabia’s adult population changed during the COVID-19 quarantine. Methods An electronic questionnaire which assessed changes in body weight, dietary habits, and physical activity of Saudi Arabia’s adult population (n = 2255) during the COVID-19 quarantine was distributed on social media between June and July 2020. To test the differences between changes in dietary and physical activity behaviors in relation to changes in body weight a Chi-square test was used. Results Over 40 and 45% of participants reported eating and snacking more, respectively, which led to weight gain in around 28%. Most participants reported that they consumed home-cooked (73%) and healthy meals (47%), while only 7% reported that they consumed foods from restaurants. Feelings of boredom and emptiness (44%) and the availability of time for preparing meals (40%) were the main reasons for changing dietary habits. Honey (43%) and vitamin C (50%) were the most consumed immune-boosting food and dietary supplement, respectively. COVID-19 also had a negative impact on physical activity, lowering the practice in 52% subjects, which was associated with significant weight gain (p < 0.001). Conclusion Assessing the changes to the population’s dietary habits and physical activity during the lockdown will help predict the outcome of the population’s future health and wellbeing after the pandemic.

scholarly journals Voluntary wheel running is effective on suppressing of obesity but not on blood pressure and insulin resistance in female rats fed with high fructose diet

2021 ◽  
Vol 19 (1) ◽  
pp. 21-28
Author(s):  
P. Tayfur ◽  
K. Gökçe Tezel ◽  
Ö. Barutçu ◽  
S. Yılmaz ◽  
E. Ö. Özgür ◽  
...  
Keyword(s):  
Physical Activity ◽  
Insulin Resistance ◽  
Blood Pressure ◽  
Body Weight ◽  
Weight Gain ◽  
Wheel Running ◽  
Female Rats ◽  
Walking Distance ◽  
Voluntary Activity ◽  
Voluntary Physical Activity

A fructose-rich diet has been known to cause metabolic syndrome effects such as body weight gain, increased blood pressure, blood lipids and glucose levels. The role of voluntary physical activity in these alterations is not known clearly. The aim of this study was to investigate the possible improving effects of voluntary physical activity in rats that were feeding with a fructose-rich diet. Spraque-Dawley female rats were separated as control (C;n=7), voluntary physical activity (A;n=7), fructose (F;n=7) and fructose+activity (F+A;n=7) groups. A and FA groups were kept in cages with running wheels during six weeks. F and FA groups were fed with adding 20% fructose in drinking water. Body weight was measured weekly and Lee Index was used to determine obesity. At the end of the feeding period serum glucose, insulin and lipid levels were measured by enzymatic method and blood pressure was determined with the tail-cuff method. Daily voluntary walking distance in F+A and A groups were similar during six weeks. Fructose intake induced to increase systolic blood pressure (p=0.001), diastolic blood pressure (p=0.002), glucose (p=0.041), insulin (p=0.001), cholesterol (p=0.001), triglyceride (p=0.001) and liver weight (p=0.035). The voluntary activity was found effective on the decrease of weight gain (p=0.018) however we did not observe a significant effect on blood pressure (p=0.917) and insulin resistance (p=0.565) following the fructose-rich diet. We conclude that voluntary activity has preventive effect on obesity but may not to be effective on increased blood pressure and insulin resistance in female rats which were feeding fructose-rich diet during six weeks.

scholarly journals Smoking Cessation Services by Community Pharmacists: Real-World Practice in Thailand

2021 ◽  
Vol 18 (22) ◽  
pp. 11890
Author(s):  
Sunee Lertsinudom ◽  
Pentipa Kaewketthong ◽  
Tamonwan Chankaew ◽  
Dujrudee Chinwong ◽  
Surarong Chinwong
Keyword(s):  
Smoking Cessation ◽  
Community Pharmacy ◽  
Real World ◽  
Community Pharmacists ◽  
Self Report ◽  
P Value ◽  
Quit Smoking ◽  
Smoking Cessation Services ◽  
Before And After ◽  
Exhaled Carbon Monoxide

This study aimed to report the effectiveness of community pharmacy smoking cessation services in 13 health regions in Thailand using a retrospective data-collecting method from the Foundation of Community Pharmacy database. The participants were smokers aged at least 18 years. The outcomes were the abstinence of smoking at least 30 consecutive days by self-report only and self-report with exhaled CO level <7 ppm (if available), the number of cigarettes smoked daily, exhaled carbon monoxide (exhaled CO), and % peak expiratory flow rate (%PEFR); smokers measured these outcomes before and after receiving the smoking cessation services. Of 58 community pharmacies, 532 smokers (93% male, mean age of 42.4 ± 14.9 years) received smoking cessation services from community pharmacists. Of 235 smokers with complete data, 153 (28.8%, 153/532) smokers reported smoking abstinence by self-report. The mean number of cigarettes smoked daily reduced from 15.3 ± 8.7 to 1.9 ± 3.8 cigarettes, p-value < 0.001. The exhaled CO levels of smokers significantly reduced from 11.7 ± 5.9 ppm to 7.2 ± 4.4 ppm, p-value < 0.001. The %PEFR also significantly increased from 84.2 ± 19.4 to 89.5 ± 19.5, p-value < 0.001. In conclusion, Thai community pharmacy smoking cessation services could aid smokers to quit smoking. This study is the outcome of the real-world community pharmacy smoking cessation service; policymakers should consider this service to be included in the national healthcare policy.

scholarly journals Seasonal variation and change trends for quit smoking: evidence from Internet search engine query data

2019 ◽  
Author(s):  
Fang Wang ◽  
Dingtao Hu ◽  
Xiaoqi Lou ◽  
Nana Meng ◽  
Qiaomei Xie ◽  
...  
Keyword(s):  
Time Series ◽  
Smoking Cessation ◽  
Seasonal Variation ◽  
New Zealand ◽  
Google Trends ◽  
Internet Search ◽  
Quit Smoking ◽  
Significant Seasonal Variation ◽  
The Usa ◽  
The Uk

Abstract Background: The outcomes of smoking have generated considerable clinical interest in recent years. Although people from different countries are more interested to the topic of quit smoking during the winter, few studies have tested this hypothesis. The current study aimed to quantify public interest in quit smoking via Google.Methods: We use Google Trends to obtain the Internet search query volume for terms relating to quit smoking for major northern and southern hemisphere countries in this research. Normally search volumes for the term “quit smoking + stop smoking + smoking cessation” were retrieved within the USA, the UK, Canada, Ireland, New Zealand and Australia from January 2004 to December 2018. Seasonal effects were investigated using cosinor analysis and seasonal decomposition of time series models.Results: Significant seasonal variation patterns in those search terms were revealed by cosinor analysis and demonstrated by the evidence from Google Trends analysis in the representative countries including the USA (pcos = 2.36×10-7), the UK (pcos < 2.00×10-16), Canada (pcos < 2.00×10-16), Ireland (pcos <2.00×10-16) ,Australia (pcos = 5.13×10-6) and New Zealand (pcos = 4.87×10-7). Time series plots emphasized the consistency of seasonal trends with peaks in winter / late autumn by repeating in nearly all years. The overall trend of search volumes, observed by dynamic series analysis, declined from 2004 to 2018.Conclusions: The preliminary evidence from Google Trends search tool showed a significant seasonal variation and decreasing trend for the RSV of quit smoking. Our novel findings in smoking cessation epidemiology need to be verified with further studies, and the mechanisms underlying these findings must be clarified.

Abstract P051: Lifestyle Change In Mid-life And Long-term Weight Gain In Women With And Without History Of Gestational Diabetes Mellitus

Circulation ◽  
2021 ◽  
Vol 143 (Suppl_1) ◽  
Author(s):  
Jiaxi Yang ◽  
Janet Rich-Edwards ◽  
Molin Wang ◽  
Wafaie W Fawzi ◽  
Cuilin Zhang ◽  
...  
Keyword(s):  
Physical Activity ◽  
Diabetes Mellitus ◽  
Body Weight ◽  
Weight Gain ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Weight Change ◽  
Lifestyle Change ◽  
History Of

Introduction: Identifying strategies to mitigate gradual long-term weight gain is critical for preventing obesity and its related chronic diseases, particularly for persons at high risk, such as women with a history of gestational diabetes mellitus (GDM). We prospectively examined the independent associations between lifestyle changes in mid-life with long-term weight change among women with and without a history of GDM. Hypothesis: We hypothesized that favorable improvements in lifestyle would be associated with less long-term weight gain, particularly among women with a history of GDM. Methods: We used data from the longitudinal Nurses’ Health Study II, with self-reported lifestyle, diet via food frequency questionnaire, and body weight updated every 2-4 years. We analyzed repeated 4-year changes of the following lifestyle factors among parous women after age 40: adherence to a healthy dietary pattern (Alternate Healthy Eating Index score [AHEI]), physical activity (MET-hrs/wk), moderate alcohol intake (servings/d), and non-smoking, in relation to concurrent 4-year change in body weight (lb). We used multivariable generalized estimating equation models to estimate the least-squares mean of 4-year weight change and 95% confidence interval (CI) for each lifestyle change category (e.g., decrease, remain stable, and increase). Results: Our analysis included 61,637 women, of which 3,444 (5.6%) had a history of GDM. Mean of repeated 4-year weight change after age 40 was 3.0 lb (SD=14.3). Improving diet was associated with favorable 4-year weight change, particularly among women with a history of GDM vs. without GDM (AHEI score change from low to high: -6.3 lb [CI: -9.3, -3.4] vs. -2.7 lb [CI: -3.2, -2.2], respectively; p-interaction=0.04). Increasing physical activity was associated with weight maintenance for GDM women only (MET-hrs/wk change from low to high: 0.6 lb [95% CI: -0.6, 1.7] vs. 2.0 lb [95% CI: 1.8, 2.2] for GDM vs. non-GDM, respectively; p-interaction=0.01). Reducing alcohol (decreased servings/d: 1.9 lb [95% CI: 1.2, 2.6] and 2.8 lb [95% CI: 2.6, 2.9] for GDM vs. non-GDM, respectively) and smoking cessation (recent quitter: 9.8 lb [95% CI: 7.1, 12.5] and 8.5 lb [95% CI: 8.0, 9.1] for GDM vs. non-GDM, respectively) were associated with similar patterns in weight change for women with and without prior GDM. Further, the joint association of improving both diet and physical activity from low to high was related to -12.3 lb (95% CI: -19.5, -5.0) and -6.1 lb (95% CI: -8.0, -4.2) of weight loss for GDM vs. non-GDM women, respectively. Conclusions: We observed that attainable improvements in diet quality and physical activity were associated with weight gain prevention. These findings support continued efforts to improve lifestyle as a beneficial strategy to prevent long-term weight gain, particularly among women with a history of GDM.

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