Objective: Animal studies and human studies in small selected populations have shown a positive association between nicotine smoking and resting energy expenditure (REE), but data in large cohorts are lacking. We aimed to investigate the association between smoking behavior and REE in a large, population-based study.
Design: Population-based cross-sectional study.
Methods: In this cross-sectional analysis of baseline measurements from the Netherlands Epidemiology of Obesity (NEO) study (n=6673), we included participants with REE measurement by indirect calorimetry who were not using lipid or glucose lowering drugs (n=1189). We used linear regression analysis to examine the association of smoking status (never, former, occasional, current smoker) and smoking quantity (pack years) with REE per kilogram (kg) fat free mass (FFM) and with REE adjusted for FFM. Models were adjusted for age, sex, ethnicity, educational level, physical activity, energy intake and body mass index (BMI).
Results: Mean (standard deviation, SD) age was 55.2 (5.9) years and BMI was 26.3 (4.4) kg/m(2). 60% of the participants were women. Mean (SD) REE/FFM (kcal/day/kg FFM) was for male never smokers 25.1 (2.0), male current smokers 26.4 (2.8), female never smokers 28.9 (2.5) and female current smokers 30.1 (3.7). After adjustment, only current smokers had a higher REE/FFM (mean difference 1.28, 95% CI 0.64, 1.92), and a higher REE adjusted for FFM (mean difference 60.3 kcal/day, 95% CI 29.1, 91.5), compared with never smokers. There was no association between pack years and REE/FFM (mean difference -0.01, 95% CI -0.06, 0.04) or REE adjusted for FFM (mean difference 0.2, 95% CI -2.4, 2.8) in current smokers.
Conclusion: Current smoking is associated with a higher resting energy expenditure compared with never smoking in a large population-based cohort.
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http://dx.doi.org/10.1016/j.metabol.2015.08.008 | DOI Listing |
PLoS One
January 2025
Department of Biology, Faculty of Graduate Studies, York University, Toronto, Ontario, Canada.
Relationships between parasites, host physiology, and behaviours are complex. Parasites can influence host hormonal microenvironment and behaviour through "sickness behaviours" that generally conserve energy. Using a parasite removal experiment, we examined the effects of gastrointestinal parasites on fecal glucocorticoid metabolites (fGC) and behaviours of vervet monkeys (Chlorocebus pygerythrus) at Lake Nabugabo, Uganda.
View Article and Find Full Text PDFBMJ Nutr Prev Health
December 2024
Laboratory of Toxicology and Forensic Sciences, Medical School of the University of Crete, Crete, Greece.
Background: Non-communicable diseases (NCDs), known as chronic diseases, significantly impact patients' quality of life (QoL) and increase medical expenses. The majority of risk factors are modifiable, and metabolomics has been suggested as a promising strategy for their evaluation, though real-world data are scarce. This study evaluated the QoL improvement and cost-effectiveness of a metabolomics-based treatment for NCDs, aiming to restore metabolic dysfunctions and nutritional deficiencies.
View Article and Find Full Text PDFInt J Obes (Lond)
January 2025
Department of Health, Kinesiology, and Applied Physiology, Concordia University, Montreal, QC, Canada.
Objective: Compared to adulthood-onset obesity (AO), those with childhood-onset obesity (CO) are at greater risk of metabolic disease. However, the differences between these two obesity phenotypes are not clear. The aim of this study is to investigate how the age of obesity onset (CO vs.
View Article and Find Full Text PDFCureus
December 2024
Faculty of Medical Sciences, The University of the West Indies, St. Augustine, TTO.
A 38-year-old paint technician who worked rotating shifts reported mild sleep disruptions and increased fatigue. The company's medical staff reviewed his work patterns, rest habits, and home environment. They introduced a personalized sleep hygiene program and adjusted his break schedule, allowing short, structured rest periods.
View Article and Find Full Text PDFBipolar disorder (BD) is characterized by temporal instability of mood and energy, but the neural correlates of this instability are poorly understood. In previous cross-sectional studies, mood state in BD has been associated with differential functional connectivity (FC) amongst several subcortical regions and ventromedial prefrontal cortex. Here, we assess whether BD is associated with longitudinal instability within this mood-related network of interest (NOI).
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