Abstract 041: Smoking Cessation and Subsequent Risk of Type 2 Diabetes in Three Large Prospective Cohort Studies of Americans

Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Yang Hu ◽  
Geng Zong ◽  
Gang Liu ◽  
Molin Wang ◽  
An Pan ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Smoking Cessation ◽  
Weight Gain ◽  
Weight Change ◽  
Weight Control ◽  
Smoking Status ◽  
Health Study ◽  
Quitting Smoking ◽  
Never Smokers

Background: The inter-relationships between smoking cessation, subsequent weight change, and type 2 diabetes (T2D) risk remain to be characterized. Methods: We prospectively followed 153,123 U.S. men and women from the Health Professionals Follow-up Study (1988-2012), Nurses’ Health Study (NHS, 1984-2012), and NHS II (1991-2013). Participants were followed biennially for smoking status, weight change, and diabetes risk. Self-reported T2D was confirmed using a validated supplementary questionnaire. Results: Compared with current smokers, T2D risk among quitters significantly increased and peaked after 5-7 years of quitting, and gradually decreased along extended durations. With a mean quitting duration of 9.9 years, the multivariate-adjusted hazard ratio (HR; 95% confidence intervals [95% CI]) of T2D was 1.26 (1.14, 1.39) for recent quitters (≤6 consecutive years) and1.04 (0.95, 1.14) for longer-term quitters in three cohorts. The T2D risk approached that of never smokers after 30 years of quitting among older nurses. There was, on average, 5.5 kg weight gain within 6 years of smoking cessation whereas 2.2 kg was gained in the same period among current smokers. The weight change significantly modified the association of smoking cessation with T2D risk ( p for interaction = 0.04): for quitters without weight gain (≤0 kg), 0-5 kg weight gain, and ≥5 kg weight gain within 6 years of smoking cessation, the HRs (95% CIs) of T2D were 0.92(0.73, 1.14), 1.27(1.10, 1.46) and 1.47(1.29, 1.67), respectively, compared with current smokers. We estimated that for quitters who did not gain weight within the first 6 years, their T2D risk approached that of never smokers after 5 years of quitting. Weight change within 6 years of quitting explained 22% (14.8%, 30.1%) of the elevated risk of T2D. Conclusions: Weight gain after quitting smoking may significantly attenuate the benefits of smoking cessation by increasing T2D risk. Our findings underscore the importance of weight control after quitting in maximizing the benefits of smoking cessation.

Smoking cessation, weight gain and risk of cardiovascular disease

Heart ◽  
2021 ◽  
pp. heartjnl-2021-318972
Author(s):  
Xiaowen Wang ◽  
Jia-Yi Dong ◽  
Renzhe Cui ◽  
Isao Muraki ◽  
Kokoro Shirai ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Smoking Cessation ◽  
Weight Gain ◽  
Smoking Status ◽  
Cox Proportional Hazard ◽  
Quitting Smoking ◽  
Cox Proportional Hazard Models ◽  
Never Smokers

ObjectiveTo examine whether the relationship between smoking cessation and risk of cardiovascular disease (CVD) was modified by weight gain.MethodsA total of 69 910 participants (29 650 men and 46 260 women) aged 45–74 years were grouped into six groups by smoking status in the first and 5-year surveys: sustained smokers, recent quitters according to postcessation weight gain (no weight gain, 0.1–5.0 kg, >5.0 kg), long-term quitters and never smokers. Quitting smoking within and longer than 5 years were defined as recent and long-term quitters, respectively. We used Cox proportional hazard models to estimate the HR for incident CVD, coronary heart disease (CHD) and stroke.ResultsWe identified 4023 CVDs (889 CHDs and 3217 strokes) during a median of 14.8 years of follow-up. Compared with sustained smokers, the multivariable HR (95% CI) for CVD was 0.66 (0.52 to 0.83) for recent quitters without weight gain, 0.71 (0.55 to 0.90) for recent quitters with weight gain of 0.1–5.0 kg, 0.70 (0.44 to 1.10) for recent quitters with weight gain of >5.0 kg, 0.56 (0.49 to 0.64) for long-term quitters, and 0.60 (0.55 to 0.66) for never smokers. The analysis restricted to men showed a similar association. Prespecified analysis by age suggested that recent quitters overall had a lower HR for CVD among those aged <60 years vs ≥60 years. Similar patterns of association were observed in CHD and stroke.ConclusionsPostcessation weight gain did not attenuate the protective association between smoking cessation and risk of CVD.

scholarly journals Association of smoking cessation after new-onset type 2 diabetes with overall and cause-specific mortality among Korean men: a nationwide population-based cohort study

2020 ◽  
Vol 8 (1) ◽  
pp. e001249
Author(s):  
Jae Woo Choi ◽  
Euna Han ◽  
Tae Hyun Kim
Keyword(s):  
Type 2 Diabetes ◽  
Smoking Cessation ◽  
Mortality Risk ◽  
Smoking Status ◽  
Onset Type ◽  
All Cause Mortality ◽  
Never Smokers ◽  
New Onset

IntroductionThis study aimed to examine the association between smoking cessation after new-onset type 2 diabetes and overall and cause-specific mortality risks among Korean men.Research design and methodsThe Korean National Health Insurance Service-National Health Screening Cohort database was searched, and 13 377 Korean men aged ≥40 years diagnosed with new-onset type 2 diabetes between 2004 and 2007 were included and followed up until 2013. We defined smoking status changes by comparing participants’ answers in the last survey before diagnosis to those in the first survey after diagnosis. We estimated the adjusted HR (AHR) and 95% CI for mortality risk using multivariable Cox proportional hazards regression models.ResultsWe identified 1014 all-cause mortality events (cancer, n=406 and cardiovascular disease (CVD), n=184) during an average follow-up duration of 7.2 years. After adjustment for all confounding factors, the reduced risk of all-cause mortality was more significant among short-term quitters (AHR 0.78; 95% CI 0.64 to 0.95), long-term quitters (AHR 0.68; 95% CI 0.54 to 0.85), and never smokers (AHR 0.66; 95% CI 0.56 to 0.78) compared with current smokers (p for trend <0.001). The lower risk of mortality from cancer was significant among the short-term quitters (AHR 0.60; 95% CI 0.44 to 0.83), long-term quitters (AHR 0.67; 95% CI 0.46 to 0.90), and never smokers (AHR 0.50; 95% CI 0.39 to 0.65) compared with current smokers (p for trend <0.001). There was no significant association between changes in smoking status and death from CVD. Smoking cessation after diagnosis in non-obese individuals (AHR 0.73; 95% CI 0.58 to 0.92) and exercisers (AHR 0.54; 95% CI 0.38 to 0.76) was significantly associated with reduced mortality risk than current smoking.ConclusionsSmoking cessation after new-onset type 2 diabetes was associated with reduced mortality risk.

scholarly journals Depression-related weight change and incident diabetes in a community sample

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Eva Graham ◽  
Tristan Watson ◽  
Sonya S. Deschênes ◽  
Kristian B. Filion ◽  
Mélanie Henderson ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Weight Loss ◽  
Weight Gain ◽  
Weight Change ◽  
Short Form ◽  
Community Sample ◽  
Overweight And Obesity ◽  
Community Dwelling ◽  
Increased Risk

AbstractThis cohort study aimed to compare the incidence of type 2 diabetes in adults with depression-related weight gain, depression-related weight loss, depression with no weight change, and no depression. The study sample included 59,315 community-dwelling adults in Ontario, Canada. Depression-related weight change in the past 12 months was measured using the Composite International Diagnostic Interview—Short Form. Participants were followed for up to 20 years using administrative health data. Cox proportional hazards models compared the incidence of type 2 diabetes in adults with depression-related weight change and in adults with no depression. Adults with depression-related weight gain had an increased risk of type 2 diabetes compared to adults no depression (HR 1.70, 95% CI 1.32–2.20), adults with depression-related weight loss (HR 1.62, 95% CI 1.09–2.42), and adults with depression with no weight change (HR 1.39, 95% CI 1.03–1.86). Adults with depression with no weight change also had an increased risk of type 2 diabetes compared to those with no depression (HR 1.23, 95% CI 1.04–1.45). Associations were stronger among women and persisted after adjusting for attained overweight and obesity. Identifying symptoms of weight change in depression may aid in identifying adults at higher risk of type 2 diabetes and in developing tailored prevention strategies.

scholarly journals Deciphering the Plasma Proteome of Type 2 Diabetes

2020 ◽  
Author(s):  
Ada Admin ◽  
Mohamed A. Elhadad ◽  
Christian Jonasson ◽  
Cornelia Huth ◽  
Rory Wilson ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Growth Hormone Receptor ◽  
Smoking Status ◽  
Underlying Disease ◽  
Sex Hormone Binding Globulin ◽  
Health Study ◽  
Study Cohort ◽  
Incident Type ◽  
Incident Type 2 Diabetes

With an estimated prevalence of 463 million affected, type 2 diabetes represents a major challenge to health care systems worldwide. Analyzing the plasma proteomes of individuals with type 2 diabetes may illuminate hitherto unknown functional mechanisms underlying disease pathology. We assessed the associations between type 2 diabetes and >1000 plasma proteins in the KORA (Cooperative health research in the Region of Augsburg) F4 cohort (n=993, 110 cases), with subsequent replication in the HUNT3 (Third wave of the Nord-Trøndelag Health Study) cohort (n=940, 149 cases). We computed logistic regression models adjusted for age, sex, BMI, smoking status and hypertension. Additionally, we investigated associations with incident type 2 diabetes and performed two-sample bi-directional Mendelian randomization (MR) analysis to prioritize our results. Association analysis of prevalent type 2 diabetes revealed 24 replicated proteins, of which eight are novel. Proteins showing association with incident type 2 diabetes were aminoacylase-1, growth hormone receptor, and insulin-like growth factor binding protein-2. Aminoacylase-1 was associated with both prevalent and incident type 2 diabetes. MR analysis yielded nominally significant causal effects of type 2 diabetes on cathepsin Z and rennin, both known to have roles in the pathophysiological pathways of cardiovascular disease, and of sex hormone-binding globulin on type 2 diabetes. In conclusion, our high-throughput proteomics study replicated previously reported type 2 diabetes-protein associations, and identified new candidate proteins possibly involved in the pathogenesis of type 2 diabetes.

scholarly journals Deciphering the Plasma Proteome of Type 2 Diabetes

2020 ◽  
Author(s):  
Ada Admin ◽  
Mohamed A. Elhadad ◽  
Christian Jonasson ◽  
Cornelia Huth ◽  
Rory Wilson ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Growth Hormone Receptor ◽  
Smoking Status ◽  
Underlying Disease ◽  
Sex Hormone Binding Globulin ◽  
Health Study ◽  
Study Cohort ◽  
Incident Type ◽  
Incident Type 2 Diabetes

With an estimated prevalence of 463 million affected, type 2 diabetes represents a major challenge to health care systems worldwide. Analyzing the plasma proteomes of individuals with type 2 diabetes may illuminate hitherto unknown functional mechanisms underlying disease pathology. We assessed the associations between type 2 diabetes and >1000 plasma proteins in the KORA (Cooperative health research in the Region of Augsburg) F4 cohort (n=993, 110 cases), with subsequent replication in the HUNT3 (Third wave of the Nord-Trøndelag Health Study) cohort (n=940, 149 cases). We computed logistic regression models adjusted for age, sex, BMI, smoking status and hypertension. Additionally, we investigated associations with incident type 2 diabetes and performed two-sample bi-directional Mendelian randomization (MR) analysis to prioritize our results. Association analysis of prevalent type 2 diabetes revealed 24 replicated proteins, of which eight are novel. Proteins showing association with incident type 2 diabetes were aminoacylase-1, growth hormone receptor, and insulin-like growth factor binding protein-2. Aminoacylase-1 was associated with both prevalent and incident type 2 diabetes. MR analysis yielded nominally significant causal effects of type 2 diabetes on cathepsin Z and rennin, both known to have roles in the pathophysiological pathways of cardiovascular disease, and of sex hormone-binding globulin on type 2 diabetes. In conclusion, our high-throughput proteomics study replicated previously reported type 2 diabetes-protein associations, and identified new candidate proteins possibly involved in the pathogenesis of type 2 diabetes.

In type 2 diabetes, smoking cessation is associated with deterioration in glycemic control and this is unrelated to weight gain

2016 ◽  
Vol 120 ◽  
pp. S79
Author(s):  
Takako Kikuchi ◽  
Kenichiro Enooku ◽  
Akifumi Kushiyama ◽  
Yoko Yoshida ◽  
Sayaka Wakabayashi ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Smoking Cessation ◽  
Weight Gain ◽  
Glycemic Control

Abstract P031: Weight Changes and Their Predictors Among 11,140 Patients With Type 2 Diabetes in The Advance Trial

Circulation ◽  
2012 ◽  
Vol 125 (suppl_10) ◽  
Author(s):  
Susan van Dieren ◽  
Andre Pascal Kengne ◽  
John Chalmers ◽  
Joline Beulens ◽  
Yvonne van der Schouw ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Weight Gain ◽  
Weight Change ◽  
Glucose Control ◽  
Diabetes Research ◽  
Mixed Effect ◽  
Glucose Lowering ◽  
The Mean

Background/Aim: To determine the baseline characteristics and glucose lowering therapies associated with weight change among subjects with type 2 diabetes. Methods: 11,140 participants in the ADVANCE trial, were randomly assigned to an intensive (aiming for an HbA 1c ≤ 6.5%) or a standard blood glucose control strategy. Weight was measured at baseline and every 6 months over a median follow-up of 5 years. Multivariable linear regression and linear mixed effect models were used to examine predictors of weight change. Results: The mean difference in weight between the intensive and standard glucose control arm during follow-up was 0.75 kg (95% CI: 0.56 to 0.94), p-value<0.001. The mean weight decreased by 0.70 kg (95% CI: 0.53 to 0.87), p <0.001 by the end of follow-up in the standard arm but remained stable in the intensive arm, with a non-significant gain of 0.16 kg (95% CI: -0.02 to 0.34), p=0.075. Baseline factors associated with weight gain were younger age, higher HbA 1c , Caucasian ethnicity and number of glucose lowering medications. Treatment combinations including insulin [3.20 kg (95% CI: 2.90 to 3.50)] and thiazolidinediones [3.05 kg (95% CI: 2.68 to 3.42)] were associated with the greatest weight gain whilst treatment combinations including sulphonylureas were associated with less weight gain [0.71 kg (95%CI: 0.39 to 1.03)] (Figure 1). Conclusion: Intensive glucose control regimens are not necessarily associated with substantial weight gain. Patient characteristic associated with weight change were age, ethnicity, smoking and HbA1c. The main treatment strategies predicting weight gain were the use of insulin and thiazolidinediones. Acknowledgements: This research was supported by a program grant from the National Health and Medical Research Council of Australia, the Center for Translational Molecular Medicine (CTMM) and the Netherlands Heart Foundation, Dutch Diabetes Research Foundation and Dutch Kidney Foundation (PREDICCt).

Abstract 17285: Frequent Consumption of Meals Prepared at Home and Risk of Type 2 Diabetes Among American Men and Women

Circulation ◽  
2015 ◽  
Vol 132 (suppl_3) ◽  
Author(s):  
Geng Zong ◽  
David M Eisenberg ◽  
Frank B Hu ◽  
Qi Sun
Keyword(s):  
Type 2 Diabetes ◽  
Weight Gain ◽  
Lower Risk ◽  
Fruits And Vegetables ◽  
Hazard Ratio ◽  
Health Study ◽  
Sugar Sweetened Beverage ◽  
At Home

Introduction: The frequency of eating meals prepared at home (MPAH) decreased among Americans over the last 50 years. Eating out has been associated with poor diet quality and weight gain in adolescents and adult. Few studies have examined MPAH frequency in relation to diabetes risk. Hypothesis: Having MPAH is associated with lower risk of Type 2 Diabetes (T2D). Methods: We followed 57,994 women in the Nurses’ Health Study and 41,679 men in the Health Professionals Follow-up Study from 1986 to 2012. Participants were free of diabetes, cardiovascular disease, and cancer at baseline. Weekly frequencies of consuming MPAH were collected at baseline, and summed up as overall MPAH. Results: Participants with more MPAH had higher intake of whole grains, total and low-fat dairy products, fruits, and vegetables, and lower sugar sweetened beverage (SSB) at baseline. However, MPAH turned to be associated with more red meat and low coffee intakes. MPAH was moderately associated with less weight gain during follow-up. Compared to those with 0-6 overall MPAH/week, women with 11-14 MPAH/week had 0.45±0.08kg less weight gain over 8 years, whereas men had 0.41±0.07 kg less weight gain (P<0.001) for the same comparison. During 2.3 million person-years of follow-up, 8959 T2D cases were identified and confirmed in both cohorts. After multivariate adjustment of demographic and lifestyle factors, pooled hazard ratio (95% confidence interval) of T2D were 0.96 (0.90, 1.01), 0.96 (0.87, 1.06), 0.88 (0.83, 0.94) for participants who had 7-8, 9-10, and 11-14 MPAH/week (P for trend<0.001), comparing with those eating 0-6 MPAH/week. Each additional MPAH for lunch was associated with 2% lower risk of T2D, whereas the corresponding value was 4% for dinner (P<0.001 for both). These findings were attenuated when BMI or SSB were further adjusted: the hazard ratio comparing participants with 11-14 MPAH/week to those with 0-6 MPAH/week were 0.95 (0.90, 1.01; P for trend=0.13) with adjusting of BMI, and 0.94 (0.89, 1.00; P for trend=0.09) with adjustment of SSB. Conclusions: These findings suggest that eating more MPAH is associated with a lower risk of T2D overtime, and this relationship may be partly ascribed to less weight gain and lower SSB intake by those who prepare their own meals at home more often.

Smoking reduction/cessation and psychiatric patients: What about weight control?

2016 ◽  
Vol 33 (S1) ◽  
pp. S298-S298 ◽  
Author(s):  
I. Ganhao ◽  
M. Trigo ◽  
A. Paixao ◽  
J. Cardoso
Keyword(s):  
Smoking Cessation ◽  
Weight Gain ◽  
Weight Control ◽  
Smoking Status ◽  
Psychiatric Patients ◽  
Smoking Reduction ◽  
Weight Changes ◽  
Social Difficulties ◽  
Competing Interest ◽  
The Many

IntroductionSmoking cessation has long been associated with weight gain and is one of the many reasons that smokers invoke for not giving up smoking. Many psychiatric medications are also associated with increased weight gain and metabolic syndrome. Unhealthy lifestyles reflect symptoms of illness with poor coping strategies and financial and social difficulties.There are many reasons why smoking cessation may be viewed as much more difficult for psychiatric patients and weight gain is one of them.ObjectiveTo study how patients’ weight evolves during smoking reduction and cessation in a smoking reduction/cessation program in a psychiatric hospital.AimsTo demystify weight gain as a significant problem in smoking reduction and cessation in this patient population.MethodsEvery patient entering the smoking reduction/cessation program is evaluated initially with regard to weight and BMI.Patients’ weights are evaluated during the duration of the program for each patient as is smoking status.ResultsWe are still collecting data at this time.ConclusionsThere are three groups of patient according to weight changes during the program: those who gain weight, those who maintain the same weight (± 1 kg) and those who lose weight.Most patients who gain weight end up recuperating their initial weight or are able to lose weight later.Some patients had weight control issues and their fear of gaining weight led them to overcompensate leading to weight loss.We have included interventions on healthy lifestyles that have aided patients in controlling their weight.Disclosure of interestThe authors have not supplied their declaration of competing interest.

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