Obesity Might Be a Predictor of Weight Reduction after Smoking Cessation

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

Obesity Might Be a Predictor of Weight Reduction after Smoking Cessation. / Pisinger, Charlotta; Nielsen, Helle Øster; Kuhlmann, Caroline; Rosthøj, Susanne.

In: Journal of Obesity, Vol. 2017, 2504078, 14.08.2017.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Pisinger, C, Nielsen, HØ, Kuhlmann, C & Rosthøj, S 2017, 'Obesity Might Be a Predictor of Weight Reduction after Smoking Cessation', Journal of Obesity, vol. 2017, 2504078. https://doi.org/10.1155/2017/2504078

APA

Pisinger, C., Nielsen, H. Ø., Kuhlmann, C., & Rosthøj, S. (2017). Obesity Might Be a Predictor of Weight Reduction after Smoking Cessation. Journal of Obesity, 2017, [2504078]. https://doi.org/10.1155/2017/2504078

Vancouver

Pisinger C, Nielsen HØ, Kuhlmann C, Rosthøj S. Obesity Might Be a Predictor of Weight Reduction after Smoking Cessation. Journal of Obesity. 2017 Aug 14;2017. 2504078. https://doi.org/10.1155/2017/2504078

Author

Pisinger, Charlotta ; Nielsen, Helle Øster ; Kuhlmann, Caroline ; Rosthøj, Susanne. / Obesity Might Be a Predictor of Weight Reduction after Smoking Cessation. In: Journal of Obesity. 2017 ; Vol. 2017.

Bibtex

@article{82210e92058a4221b27683d29fa0d3c7,
title = "Obesity Might Be a Predictor of Weight Reduction after Smoking Cessation",
abstract = "Background and Objectives: Approximately one in five ex-smokers reduces or maintains weight after smoking cessation but little is known about who succeeds to avoid weight gain. The purpose of this study was to identify predictors of weight reduction after long-term smoking cessation in a general population. Methods: Data was obtained from two Danish population-based cohorts (the Inter99 and the Helbred2006 study). Anthropometric measurements were performed by trained research staff. Out of 3.577 daily smokers at baseline 317 participants had quit smoking at the five-year follow-up for at least one year. Multiple logistic regression analysis was performed to determine predictors of weight reduction. Results: Thirteen percent reduced weight by at least 1 kg and 4% maintained their weight. Quitters with obesity had more than seven times higher odds than normal weight quitters to lose weight (OR 7.13 (95% CI 2.76–19.71)), and they had the largest median weight loss of 4.45 kg. The only other significant predictor of weight reduction was low tobacco consumption at baseline. Conclusions: Predictors of weight reduction after smoking cessation were high body mass index and low tobacco consumption at baseline. This study might motivate smokers with obesity to quit smoking and health professionals to give them support.",
author = "Charlotta Pisinger and Nielsen, {Helle {\O}ster} and Caroline Kuhlmann and Susanne Rosth{\o}j",
year = "2017",
month = aug,
day = "14",
doi = "10.1155/2017/2504078",
language = "English",
volume = "2017",
journal = "Journal of Obesity",
issn = "2090-0708",
publisher = "Hindawi Publishing Corporation",

}

RIS

TY - JOUR

T1 - Obesity Might Be a Predictor of Weight Reduction after Smoking Cessation

AU - Pisinger, Charlotta

AU - Nielsen, Helle Øster

AU - Kuhlmann, Caroline

AU - Rosthøj, Susanne

PY - 2017/8/14

Y1 - 2017/8/14

N2 - Background and Objectives: Approximately one in five ex-smokers reduces or maintains weight after smoking cessation but little is known about who succeeds to avoid weight gain. The purpose of this study was to identify predictors of weight reduction after long-term smoking cessation in a general population. Methods: Data was obtained from two Danish population-based cohorts (the Inter99 and the Helbred2006 study). Anthropometric measurements were performed by trained research staff. Out of 3.577 daily smokers at baseline 317 participants had quit smoking at the five-year follow-up for at least one year. Multiple logistic regression analysis was performed to determine predictors of weight reduction. Results: Thirteen percent reduced weight by at least 1 kg and 4% maintained their weight. Quitters with obesity had more than seven times higher odds than normal weight quitters to lose weight (OR 7.13 (95% CI 2.76–19.71)), and they had the largest median weight loss of 4.45 kg. The only other significant predictor of weight reduction was low tobacco consumption at baseline. Conclusions: Predictors of weight reduction after smoking cessation were high body mass index and low tobacco consumption at baseline. This study might motivate smokers with obesity to quit smoking and health professionals to give them support.

AB - Background and Objectives: Approximately one in five ex-smokers reduces or maintains weight after smoking cessation but little is known about who succeeds to avoid weight gain. The purpose of this study was to identify predictors of weight reduction after long-term smoking cessation in a general population. Methods: Data was obtained from two Danish population-based cohorts (the Inter99 and the Helbred2006 study). Anthropometric measurements were performed by trained research staff. Out of 3.577 daily smokers at baseline 317 participants had quit smoking at the five-year follow-up for at least one year. Multiple logistic regression analysis was performed to determine predictors of weight reduction. Results: Thirteen percent reduced weight by at least 1 kg and 4% maintained their weight. Quitters with obesity had more than seven times higher odds than normal weight quitters to lose weight (OR 7.13 (95% CI 2.76–19.71)), and they had the largest median weight loss of 4.45 kg. The only other significant predictor of weight reduction was low tobacco consumption at baseline. Conclusions: Predictors of weight reduction after smoking cessation were high body mass index and low tobacco consumption at baseline. This study might motivate smokers with obesity to quit smoking and health professionals to give them support.

U2 - 10.1155/2017/2504078

DO - 10.1155/2017/2504078

M3 - Journal article

C2 - 28890832

VL - 2017

JO - Journal of Obesity

JF - Journal of Obesity

SN - 2090-0708

M1 - 2504078

ER -

ID: 195967534