Increased 24-Hour Energy Expenditure in Cigarette Smokers

Hofstetter, Angela; Schütz, Y.; Jéquier, E; Wahren, John

doi:10.1056/nejm198601093140204

Cited by 341 publications

(103 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…This association was reported before [31]. One plausible biological explanation advanced is that nicotine in tobacco increases metabolic activity by increasing adrenaline and other metabolic hormones [32], thus leading to weight loss. However, it is important to emphasize that both smoking and obesity are common risk factors for NCDs.…”

Section: Discussionsupporting

confidence: 67%

Sociodemographic and behavioural factors associated with body mass index among men and women in Nairobi slums: AWI-Gen Project

Asiki

Mohamed

Wambui

et al. 2018

Global Health Action

View full text Add to dashboard Cite

Background: Body mass index (BMI) is rising globally with a faster increase in urban areas in low- and middle-income countries. It is critical to identify modifiable risk factors for BMI to prevent the occurrence of associated health consequences. Objective: To investigate socio-demographic, behavioural and biological factors associated with BMI in Nairobi slums. Methods: In 2014-2015, a cross sectional study of men and women aged 40–60 years in Nairobi slums (Korogocho and Viwandani) was conducted. Data were collected on socio-demographic, behavioural and biological characteristics. Mean BMI, overweight and obesity were computed. Hierarchical multiple linear regression analysis was conducted separately for men and women to explore factors associated with BMI. Results: In total, 1942 study participants (54.4%, women) with a mean age (SD) of 48.3 (5.3) years and 48.8(5.6) years for women and men respectively were recruited. Mean BMI was higher among women than men (27.6 versus 22.8; p < 0.001). More women were overweight (30.9% versus 19.6%; p < 0.001) and obese (32.1% versus 5.1%; p < 0.001) than men. Among men, BMI was independently associated with wealth index, bread consumption and self-reported diabetes and was negatively associated with current tobacco smoking, HIV and TB infections. Among women, BMI was independently associated with wealth, current non-problematic drinking, and sedentary time, but was lower among other ethnicities compared to Kikuyu, among current smokers, women with longer sleep, and those with HIV infection and tuberculosis. Wealth index contributed the most variance in BMI among women and men (10.4%, 7.5%, respectively), but behavioural factors (7.4%) among men and biological factors (6.5%) among women accounted for most of the additional BMI variance. Conclusions: Adults aged 40–60 years in the urban slums of Nairobi have a high BMI associated with wealth. Bread consumption by men and sedentary life among women are the main risky behaviours that need urgent targeted interventions.

show abstract

Section: Discussionsupporting

confidence: 67%

Sociodemographic and behavioural factors associated with body mass index among men and women in Nairobi slums: AWI-Gen Project

Asiki

Mohamed

Wambui

et al. 2018

Global Health Action

View full text Add to dashboard Cite

show abstract

“…The most likely source is the acute metabolic effect of smoking, which was specifically not assessed in this study. (Interestingly, as seen in Table 3, the difference in total physical activity between groups, almost 52,000 kcal/ year, equals about 140 kcal/day, similar to estimates of the daily expenditure due to the acute effects of smoking [Hofstetter et al, 1986;Perkins, Epstein, Marks, et al, 1989al. ) In summary, after controlling for possible mediating variables, smoking was found to be independently associated with less leisure-time physical activity, suggesting adoption of a more sedentary life-style.…”

Section: Disc U Ssi 0 Nsupporting

confidence: 68%

“…Other research indicates that smokers may have less liking for sweet and fat taste (Perkins et al, 1990a) and consume less sweet-tasting food (Grunberg, 1982). Similarly, some studies have shown that smokers are less physically active than nonsmokers (Blair, Jacobs, & Powell, 1985;Marti & Vertainen, 1989;Schoenborn & Benson, 1988), but may nevertheless have equal total energy expenditure due to elevated RMR (Dallosso & James 1984;Glauser, Glauser, Reidenberg, Rusy, & Tallarida, 1970;Hofstetter, Schutz, Jequier, & Wahren, 1986;Perkins, Epstein, & Pastor, 1990b;Robinson & York, 1986).…”

mentioning

confidence: 99%

Effects of smoking status on content of caloric intake and energy expenditure

Marks

Perkins

Metz

et al. 1991

Int. J. Eat. Disord.

View full text Add to dashboard Cite

Cigarette smoking is linked with lower body weight and may be associated with alterations in caloric intake and energy expenditure (i.e., energy balance). However, the direct effects of smoking on content and pattern of energy balance are unclear because of possible confounding of smoking status with mediating variables related to energy balance, such as body weight and aerobic fitness. The present study compared daily caloric and nutrient intake, participation in leisure time activities, and resting metabolic rate (RMR) following overnight smoking abstinence between male smokers (n = 29) and nonsmokers (n = 21), with groups equated on age, body weight, and fitness. Results showed smokers reported being less active than nonsmokers, but there were no differences in RMR, total caloric intake, or pattern of nutrient intake. These findings indicate that, even after controlling for body weight and aerobic fitness, smoking status is independently associated with a less active lifestyle but may not have any direct effects on dietary content or RMR.

show abstract

“…In this study, the difference in BMI between smokers and non-smokers was about 2 kg/m 2 corresponding to approximatively a 6 kg difference in weight for a man with a height of 1.7 m. This can be physiologically explained by the fact that nicotine increases thermogenesis in adipose tissue, partly by increasing lipolysis and subsequent recycling of fatty acids into triglycerides [37]. Smoking increases 24-h energy expenditure by ~ 10% and increases energy expenditure more during exercise and after eating than while at rest [38]. A 10% increase in metabolic rate, corresponding to an expenditure of 200 kcal per 24 h, seems small; however, assuming that there is no change in caloric intake, this increase in energy expenditure caused by nicotine can result in the loss of 10 kg in body weight over 1 year [39].…”

Section: Discussionmentioning

confidence: 99%

Gender differences in sociodemographic and behavioural factors associated with BMI in an adult population in rural Burkina Faso – an AWI-Gen sub-study

Boua

Sorgho

Rouamba

et al. 2018

Global Health Action

View full text Add to dashboard Cite

Background: The global health transition is linked with an increased burden of non-communicable diseases with cardiovascular diseases leading the epidemic. In sub-Saharan Africa (SSA), the prevalence of obesity has increased during the past decades and there is a need to investigate the associated driving factors. In Burkina Faso obesity remains low, especially in rural areas. In this study we recruited middle-aged adults, as part of a larger study on genetic and environmental contributions to cardiometabolic disease among Africans. Objectives: To investigate the distribution of BMI and prevalence of obesity in a cross-sectional population-based study and to determine the sociodemographic and behavioural correlates with BMI. Methods: Participants (N = 2,076) were recruited from the Nanoro Health and Demographic Surveillance System area and were aged 40–60 years. We applied hierarchical modelling to identify factors associated with BMI and structural equation modelling to identify mediated effects of sociodemographic and behavioural variables on BMI. Results: Data are presented on 2,076 participants (49.9% female). Men had significantly higher BMI than women with medians of 21.1 (19.2 – 23.4) vs 19.8 (18.1 – 21.6) (p < 0.001), and there were significantly more underweight women compared to men (31.0% vs 17.4%) (p < 0.001). More men were overweight and obese than women (11.9% vs 5.2% and 2.2% vs 1.4%). Socioeconomic status was the major contributor to increased BMI for men, and education was the main contributor in women. Tobacco smoking and chewing, and problematic alcohol consumption were associated with a decrease in BMI in men and women. Conclusion: Overweight and obesity are relatively low among adults in rural Burkina Faso, and men had a higher median BMI than women. Behavioural factors, including tobacco use and alcohol consumption, contributed to a decrease in BMI, whereas socioeconomic status and education (which were both generally low in this community) contributed to an increase in BMI.

show abstract

Increased 24-Hour Energy Expenditure in Cigarette Smokers

Cited by 341 publications

References 14 publications

Sociodemographic and behavioural factors associated with body mass index among men and women in Nairobi slums: AWI-Gen Project

Sociodemographic and behavioural factors associated with body mass index among men and women in Nairobi slums: AWI-Gen Project

Effects of smoking status on content of caloric intake and energy expenditure

Gender differences in sociodemographic and behavioural factors associated with BMI in an adult population in rural Burkina Faso – an AWI-Gen sub-study

Contact Info

Product

Resources

About