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An empirical investigation of the impact of smoking on body weight using an endogenous treatment effects model approach: the role of food consumption patterns

BACKGROUND: This study explored the influence of cigarette smoking and food consumption patterns on BMI after adjusting for various socio-demographic characteristics. Since weight-based stereotypes may have an impact on smoking behaviour and both obesity and smoking have been associated with detrime...

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Autores principales: Raptou, Elena, Papastefanou, Georgios
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6217773/
https://www.ncbi.nlm.nih.gov/pubmed/30396350
http://dx.doi.org/10.1186/s12937-018-0408-0
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author Raptou, Elena
Papastefanou, Georgios
author_facet Raptou, Elena
Papastefanou, Georgios
author_sort Raptou, Elena
collection PubMed
description BACKGROUND: This study explored the influence of cigarette smoking and food consumption patterns on BMI after adjusting for various socio-demographic characteristics. Since weight-based stereotypes may have an impact on smoking behaviour and both obesity and smoking have been associated with detrimental health effects, an interdependency between them is quite possible. METHODS: Cross-sectional data were collected via a formal standardized questionnaire administered in personal interviews and two additional self-completion questionnaires from a random sample of 3471 German adults. The empirical framework considered potential endogeneity between smoking and body weight by employing an endogenous treatment effects model with an ordered outcome. The estimations derived from the endogenous treatment effects approach were also compared to the univariate ordered probit model results. RESULTS: Our findings showed that ignoring potential endogeneity may affect both the statistical significance of the smoking estimate and the direction of the influence of smoking on BMI. Smoking was positively associated with BMI in both male (β = 1.236, p < 0.01) and female (β = 0.634, p < 0.10) participants. Smokers presented a 23.1% higher risk of obesity and a 24.3% lower likelihood of being within a healthy weight range. Male smokers also appeared to have a considerably augmented probability of being obese compared to their female counterparts (23.6% vs 15.1%). The relationship between smoking and BMI may be attributed to dietary practices, since smoking was correlated with poor dietary habits characterized by the frequent intake of more energy-dense foods (meat products and white-toasted bread) and less frequent consumption of healthy food items, such as whole-grain bread, vegetables and fruits. Concerning the impact of eating habits on body weight, frequent consumption of meat products and confectionery was found to have a direct association with BMI in both genders. Furthermore, white-toasted bread consumption was negatively linked with body weight in males (β = − 0.337, p < 0.01). CONCLUSIONS: Our findings raised questions about the general belief that smoking is an effective weight control tool. Health interventions should be oriented toward a simultaneous decrease in smoking and obesity, since both behaviours seem to be interdependent. Nutrition programmes should also be designed according to the characteristics of different target groups in order to promote a healthy lifestyle.
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spelling pubmed-62177732018-11-08 An empirical investigation of the impact of smoking on body weight using an endogenous treatment effects model approach: the role of food consumption patterns Raptou, Elena Papastefanou, Georgios Nutr J Research BACKGROUND: This study explored the influence of cigarette smoking and food consumption patterns on BMI after adjusting for various socio-demographic characteristics. Since weight-based stereotypes may have an impact on smoking behaviour and both obesity and smoking have been associated with detrimental health effects, an interdependency between them is quite possible. METHODS: Cross-sectional data were collected via a formal standardized questionnaire administered in personal interviews and two additional self-completion questionnaires from a random sample of 3471 German adults. The empirical framework considered potential endogeneity between smoking and body weight by employing an endogenous treatment effects model with an ordered outcome. The estimations derived from the endogenous treatment effects approach were also compared to the univariate ordered probit model results. RESULTS: Our findings showed that ignoring potential endogeneity may affect both the statistical significance of the smoking estimate and the direction of the influence of smoking on BMI. Smoking was positively associated with BMI in both male (β = 1.236, p < 0.01) and female (β = 0.634, p < 0.10) participants. Smokers presented a 23.1% higher risk of obesity and a 24.3% lower likelihood of being within a healthy weight range. Male smokers also appeared to have a considerably augmented probability of being obese compared to their female counterparts (23.6% vs 15.1%). The relationship between smoking and BMI may be attributed to dietary practices, since smoking was correlated with poor dietary habits characterized by the frequent intake of more energy-dense foods (meat products and white-toasted bread) and less frequent consumption of healthy food items, such as whole-grain bread, vegetables and fruits. Concerning the impact of eating habits on body weight, frequent consumption of meat products and confectionery was found to have a direct association with BMI in both genders. Furthermore, white-toasted bread consumption was negatively linked with body weight in males (β = − 0.337, p < 0.01). CONCLUSIONS: Our findings raised questions about the general belief that smoking is an effective weight control tool. Health interventions should be oriented toward a simultaneous decrease in smoking and obesity, since both behaviours seem to be interdependent. Nutrition programmes should also be designed according to the characteristics of different target groups in order to promote a healthy lifestyle. BioMed Central 2018-11-05 /pmc/articles/PMC6217773/ /pubmed/30396350 http://dx.doi.org/10.1186/s12937-018-0408-0 Text en © The Author(s). 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Raptou, Elena
Papastefanou, Georgios
An empirical investigation of the impact of smoking on body weight using an endogenous treatment effects model approach: the role of food consumption patterns
title An empirical investigation of the impact of smoking on body weight using an endogenous treatment effects model approach: the role of food consumption patterns
title_full An empirical investigation of the impact of smoking on body weight using an endogenous treatment effects model approach: the role of food consumption patterns
title_fullStr An empirical investigation of the impact of smoking on body weight using an endogenous treatment effects model approach: the role of food consumption patterns
title_full_unstemmed An empirical investigation of the impact of smoking on body weight using an endogenous treatment effects model approach: the role of food consumption patterns
title_short An empirical investigation of the impact of smoking on body weight using an endogenous treatment effects model approach: the role of food consumption patterns
title_sort empirical investigation of the impact of smoking on body weight using an endogenous treatment effects model approach: the role of food consumption patterns
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6217773/
https://www.ncbi.nlm.nih.gov/pubmed/30396350
http://dx.doi.org/10.1186/s12937-018-0408-0
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