Joints effects of BMI and smoking on mortality of all-causes, CVD, and cancer

Luijckx, Eefje; Lohse, Tina; Faeh, David; Rohrmann, Sabine

doi:10.1007/s10552-019-01160-8

Cited by 19 publications

(10 citation statements)

References 36 publications

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“…It is also noteworthy that the association between prediagnosis smoking and mortality was primarily observed among women with BMI less than 25 kg/m 2 , although the same was not seen for postdiagnosis heavy smokers. Consistent with our results, two prospective cohort studies observed significantly higher mortality for current and former smokers who were underweight, while multiplicative joint effects on mortality were seen in another large cohort study . Smokers tend to have a lower BMI than nonsmokers, in part due to suppressed appetite .…”

Section: Discussionsupporting

confidence: 91%

Prediagnosis and postdiagnosis smoking and survival following diagnosis with ovarian cancer

Wang

Townsend

Simmons

et al. 2019

Intl Journal of Cancer

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Little is known about the influence of prediagnosis and postdiagnosis smoking and smoking cessation on ovarian cancer survival. We investigated this relationship in two prospective cohort studies, the Nurses' Health Study (NHS) and NHSII. Analyses included 1,279 women with confirmed invasive, Stage I-III epithelial ovarian cancer. We used Cox proportional hazards regression models to estimate hazard ratios (HR) and 95% confidence intervals (CI) for ovarian cancer-specific mortality by smoking status, adjusting for age and year of diagnosis, tumor stage, histologic subtype, body mass index and nonsteroidal anti-inflammatory use (postdiagnosis models only). When examining prediagnosis smoking status (assessed a median of 12 months before diagnosis), risk of death was significantly increased for former smokers (HR = 1.19, 95% CI: 1.02-1.39), and suggestively for current smokers (HR = 1.21, 95% CI: 0.96-1.51) vs. never smokers. Longer smoking duration (≥20 years vs. never, HR = 1.23, 95% CI: 1.05-1.45) and higher pack-years (≥20 pack-years vs. never, HR = 1.28, 95% CI: 1.07-1.52) were also associated with worse outcome. With respect to postdiagnosis exposure, women who smoked ≥15 cigarettes per day after diagnosis (assessed a median of 11 months after diagnosis) had increased mortality compared to never smokers (HR = 2.34, 95% CI: 1.63-3.37). Those who continued smoking after diagnosis had 40% higher mortality (HR = 1.40, 95% CI: 1.05-1.87) compared to never smokers. Overall, our results suggest both prediagnosis and postdiagnosis smoking are associated with worse ovarian cancer outcomes.Additional Supporting Information may be found in the online version of this article.

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Section: Discussionsupporting

confidence: 91%

Prediagnosis and postdiagnosis smoking and survival following diagnosis with ovarian cancer

Wang

Townsend

Simmons

et al. 2019

Intl Journal of Cancer

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“…The prevalence of cigarette smoking in population with the age of ≥ 18 years old has been reported as 62.4% in men and 3.4% in women[7]. Smoking is a risk factor for several diseases, such as cancer, chronic obstructive pulmonary disease, stroke, aneurysm and aortic aneurysms and peripheral vascular disease[8]. Additionally, smoking is regard as an independent risk factor for cardiovascular disease[9].…”

Section: Introductionmentioning

confidence: 99%

The association between cigarette smoking and serum thyroid stimulating hormone, thyroid peroxidase antibodies and thyroglobulin antibodies levels in Chinese residents: A cross-sectional study in 10 cities

et al. 2019

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ObjectivesAlthough several studies have shown that cigarette smoking is associated with thyroid stimulating hormone (TSH), thyroid peroxidase antibody (TPOAb) and thyroglobulin antibody (TgAb), the exact relationship between smoking and thyroid function is controversial. As little is known about the effects of smoking on TSH, TPOAb and TgAb in Chinese residents. This study aimed to evaluate the association between cigarette smoking and TSH, TPOAb and TgAb in ten-city residents of China.Study designThis was a population-based cross-sectional study.MethodsIn this cross-sectional study, 15,181 subjects from ten major cities of China were investigated. Data regarding demographic characteristics, smoking status and consumption of iodine status were collected using in-person interviews based on a self-designed structured questionnaire. Serum concentrations of TSH, TPOAb and TgAb were measured using electrochemiluminescence immunoassays. Univariate analysis and multivariate linear stepwise regression analyses were used to analyze the data.ResultsThe regular smokers had lower concentrations of TSH, TPOAb and TgAb than occasional smokers, former smokers and never smokers. Multivariate analysis demonstrated that regular smoking was associated with the decreased concentrations of TSH (β = -0.178), TPOAb (β = -0.287) and TGAb (β = -0.453) after adjusting other factors. Furthermore, daily smoking number was significantly associated with the decreased level of TSH (β = -0.045) and TPOAb(β = -0.080), and smoking duration was associated with the decreased TSH level (β = -0.030).ConclusionsOur findings suggest that cigarette smoking is related to a significant decline in the concentrations of TSH, TPOAb and TgAb. In addition, daily smoking number and long-term smoking decrease serum TSH and TPOAb levels. Cigarette smoking plays a significant role in the development of thyroid dysfunction.

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“…The results from National Health and Nutrition Examination Survey (NHANES) showed that cardiovascular disease mortality risk was higher in underweight people. 24 Therefore, interventions for cardiovascular risk factors should focus not only on obese people, but also on people with low weight. Avoiding a low body weight is more likely to be neglected than weight loss in obese patients.…”

Section: Discussionmentioning

confidence: 99%

Assessment of Cardiovascular Risk Factors and Their Interactions in the Risk of Coronary Heart Disease in Patients with Type 2 Diabetes with Different Weight Levels, 2013–2018

Wang¹,

Ye²,

Xie³

et al. 2021

DMSO

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Purpose: In addition to hyperglycemia and hyperlipidemia, obesity and hypertension are important cardiovascular risk factors for coronary heart disease (CHD) in patients with type 2 diabetes mellitus (T2DM). This study aims to explore the interaction of these risk factors. Patients and Methods: Data of hospitalized patients with T2DM from 2013 to 2018 were collected. A multivariate logistic regression model was established. Patients with normal weight and blood pressure were recruited as controls. The interaction on the risk of CHD was evaluated by relative excess risk due to interaction (RERI). Results: Among the 30,693 patients with T2DM, 7202 (23.5%) had CHD. In the low weight group, the prevalence of CHD in patients with hypertension was nearly four times higher than that in patients without hypertension (42.7% vs 11.3%, P < 0.01). The OR value of hypertension alone on CHD increased from 1.29 (95% CI 1.06-1.56) in the body mass index (BMI) 30.0-34.9 kg/m 2 group to 1.35 (95% CI 1.11-1.62) in the BMI ≤ 18.5 kg/m 2 group. Additive interaction was observed between hypertension and BMI in CHD risk, especially in the low weight group (RERI:2.2, 95% CI 0.9-3.5). BMI and CHD risk showed a smile curve relationship. The attributive proportion in the low weight group was higher than that in the severe obesity group, that is, 0.52 (95% CI 0.35-0.69) vs 0.18 (95% CI −0.59 to 0.95). Conclusion: Maintaining normal weight and avoiding low weight are particularly important for patients with co-occurring diabetes and hypertension to prevent the risk of CHD.

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Joints effects of BMI and smoking on mortality of all-causes, CVD, and cancer

Cited by 19 publications

References 36 publications

Prediagnosis and postdiagnosis smoking and survival following diagnosis with ovarian cancer

Prediagnosis and postdiagnosis smoking and survival following diagnosis with ovarian cancer

The association between cigarette smoking and serum thyroid stimulating hormone, thyroid peroxidase antibodies and thyroglobulin antibodies levels in Chinese residents: A cross-sectional study in 10 cities

Assessment of Cardiovascular Risk Factors and Their Interactions in the Risk of Coronary Heart Disease in Patients with Type 2 Diabetes with Different Weight Levels, 2013–2018

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