scholarly journals Associations of Sleep Duration and Screen Time with Incidence of Overweight in European Children: The IDEFICS/I.Family Cohort

Obesity Facts ◽  
2021 ◽  
pp. 1-7
Author(s):  
Viveka Guzmán ◽  
Lauren Lissner ◽  
Louise Arvidsson ◽  
Antje Hebestreit ◽  
Antonia Solea ◽  
...  
Keyword(s):  
Sleep Duration ◽  
Screen Time ◽  
Normal Weight ◽  
Overweight And Obesity ◽  
The Past ◽  
Parental Level ◽  
Adjusted Model ◽  
Baseline Bmi ◽  
Overweight Or Obesity

<b><i>Introduction:</i></b> Over the past decades, children have been increasingly using screen devices, while at the same time their sleep duration has decreased. Both behaviors have been associated with excess weight, and it is possible they act as mutually reinforcing behaviors for weight gain. The aim of the study was to explore independent, prospective associations of screen time and sleep duration with incident overweight in a sample of European children. <b><i>Methods:</i></b> Data from 4,285 children of the IDEFICS/I.Family cohort who were followed up from 2009/2010 to 2013/2014 were analyzed. Hours per day of screen time and of sleep duration were reported by parents at baseline. Logistic regression analyses were carried out in separate and mutually adjusted models controlled for sex, age, European country region, parental level of education, and baseline BMI <i>z</i>-scores. <b><i>Results:</i></b> Among normal weight children at baseline (<i>N</i> = 3,734), separate models suggest that every hour increase in screen time and every hour decrease in sleep duration were associated with higher odds of the child becoming overweight or obese at follow-up (OR = 1.16, 95% CI: 1.02–1.32 and OR = 1.23, 95% CI: 1.05–1.43, respectively). In the mutually adjusted model, both associations were attenuated slightly ( screen time OR = 1.13, 95% CI: 0.99–1.28; sleep duration OR = 1.20, 95% CI: 1.03–1.40), being consistently somewhat stronger for sleep duration. <b><i>Discussion/Conclusion:</i></b> Both screen time and sleep duration increased the incidence of overweight or obesity by 13–20%. Interventions that include an emphasis on adequate sleep and minimal screen time are needed to establish their causal role in the prevention of overweight and obesity among European children.

scholarly journals Impact of sleep and screen times on incidence of overweight in European children and adolescents

2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
V Guzman ◽  
L Arvidsson ◽  
L Lissner ◽  
M Hunsberger
Keyword(s):  
Children And Adolescents ◽  
Sleep Duration ◽  
Screen Time ◽  
Integrated Approach ◽  
Life Course Perspective ◽  
Overweight Prevention ◽  
Z Scores ◽  
Parental Level ◽  
Adjusted Model ◽  
Baseline Bmi

Abstract Background A deeper understanding of the modifiable risk factors leading to excess weight in children and adolescents can provide unique opportunities for preventing the immediate and long-lasting health consequences of overweight. The aim of the study was to explore independent, prospective associations of screen time and sleep duration with incident overweight in a sample of European children. Methods Data from 4285 participants of the IDEFICS/I.Family cohort who were followed-up from 2009/2010 to 2013/2014 was analyzed. Hours per day of screen time and sleep duration were collected by parental report at baseline. Logistic regression analyses were carried in separate and mutually adjusted models controlled for sex, age, European country region, parental level of education and baseline BMI z-scores. Results At baseline screen time (hours/day) and sleep duration (hours/day) were inversely correlated behaviors (rs= -0.226, p&lt;.001), indicating the necessity of exploring their separate and joint effects on the weight trajectory. In the non-overweight/non-obese population at baseline (N = 3734), separate models suggest that every hour increase on screen time and every hour decrease on sleep duration were associated with higher odds of the child becoming overweight or obese at follow up (OR = 1.156, 95% CI 1.015-1.316 and OR = 1.226, 95% CI 1.053- 1.428 respectively). In the mutually adjusted model, the screen time association was attenuated to non-significance (OR = 1.125, 95% CI 0.986- 1.284), while the association with sleep duration was also attenuated but remained statistically significant (OR = 1.198, 95% CI 1.026-1.398). Conclusions Both screen time and sleep duration are significant predictors of incident overweight in children and adolescents. However, according to our results sleep duration plays a stronger role than screen time, suggesting an increased value of overweight prevention strategies that emphasize adequate sleep duration. Key messages A holistic and integrated approach is needed to prevent overweight from early age and with a life-course perspective. New strategies for overweight prevention could benefit from prioritizing interventions that promote adequate sleep duration and reduce excessive screen time.

scholarly journals Association of sleep, screen time and physical activity with overweight and obesity in Mexico

2019 ◽  
Author(s):  
Spyros Kolovos ◽  
Aura Cecilia Jimenez-Moreno ◽  
Rafael Pinedo-Villanueva ◽  
Sophie Cassidy ◽  
Gerardo A. Zavala
Keyword(s):  
Physical Activity ◽  
Sleep Duration ◽  
Screen Time ◽  
Vigorous Physical Activity ◽  
Normal Weight ◽  
Overweight And Obesity ◽  
Moderate Physical Activity ◽  
Lifestyle Behaviors ◽  
Unhealthy Lifestyle ◽  
Level Of Evidence

Abstract Purpose Approximately 70% of adults in Mexico are overweight or obese. Unhealthy lifestyle behaviors are also prevalent. We examined the association of three lifestyle behaviors with body mass index (BMI) categories in adults from Mexico. Methods We used publicly available data from the ENSANUT 2016 survey (n = 6419). BMI was used to categorize participants. Differences in sleep duration, suffering from symptoms of insomnia, TV watching time, time in front of any screen, vigorous physical activity (yes vs no), moderate physical activity (> 30 min/day—yes vs. no) and walking (> 60 min/day—yes vs. no) were compared across BMI groups using adjusted linear and logistic regression analyses. Results Thirty-nine percent of participants were overweight and 37% obese. Time in front of TV, in front of any screen, sleep duration and physical activity were significantly associated with overweight and obesity. Compared to normal weight participants, participants in the obese II category spend on average 0.60 h/day (95% CI 0.36–0.84, p = 0.001) and participants in the obese III category 0.54 h/day (95% CI 0.19–0.89, p < 0.001) more in front of any screen; participants in the obese II category reported 0.55 h/day less sleep (95% CI − 0.67 to − 0.43, p < 0.001); participants in the obese III category were less likely to engage in vigorous activity (OR = 0.60, 95% CI 0.43–0.84, p ≤ 0.003), or walking (OR = 0.65, 95% CI 0.49–0.88, p = 0.005). Conclusion Screen time, sleeping hours, and physical activity were associated with overweight and obesity. However, these associations were not consistent across all BMI categories. Assuming established causal connections, overweight individuals and individuals with obesity would benefit from reduced screen time and engaging in moderate/vigorous physical activity. Level of evidence Level III: observational case-control analytic study.

scholarly journals THU0389 OBESITY IS A STRONG PREDICTOR OF WORSE CLINICAL OUTCOMES AND TREATMENT RESPONSES TO BIOLOGICS IN PATIENTS WITH ANKYLOSING SPONDYLITIS

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 429.2-429
Author(s):  
L. Hu ◽  
X. Ji ◽  
F. Huang
Keyword(s):  
Ankylosing Spondylitis ◽  
Disease Activity ◽  
Clinical Outcomes ◽  
Normal Weight ◽  
Low Grade ◽  
Hla B27 ◽  
Treatment Responses ◽  
The Impact ◽  
Overweight Or Obesity

Background:Obesity population are rising rapidly and have become a major health issue. Studies have shown that obesity is a low-grade inflammatory status characterized by increase in proinflammatory cytokines.Objectives:To examine the impact of overweight or obesity on disease activity and treatment responses to biologics in patients with ankylosing spondylitis (AS) in a real-world setting.Methods:Body mass index (BMI) is available in 1013 patients from the Chinese Ankylosing Spondylitis Imaging Cohort (CASPIC). Differences in clinical outcomes (such as BASDAI, ASDAS, BASFI, and ASAS HI) and treatment responses to biologics (ΔBASDAI and ΔASDAS) over 3, 6, 9, and 12 months are assessed between BMI categories (normal weight BMI <24 kg/m2; overweight BMI=24-28 kg/m2; obesity BMI ≥28 kg/m2) using Kruskal-Wallis test. The association between BMI and clinical characteristics and treatment responses to biologics was determined, and multivariate median regression analyses were conducted to adjust for confounders (such as age, gender, smoke, and HLA-B27).Results:Among 1013 patients with AS, overweight accounts for 33%, while obesity for 12.4%. There were significant differences between patients who were obese or overweight and those with a normal weight regarding clinical outcomes (BASDAI: 2.90/2.56 vs 2.21; ASDAS-CRP: 2.20/1.99 vs 1.81; BASFI: 2.13/1.69 vs 1.38; ASAS HI: 6.87/5.29 vs 5.12 and BASMI: 2.35/1.76 vs 1.62; all P<0.05). After adjusting for age, gender, smoke, and HLA-B27, obesity remained associated with higher disease activity (BASDAI: β=0.55, P=0.005; ASDAS-CRP: β=0.40, P<0.001), poorer functional capacity (BASFI: β=0.58, P=0.001), worse health index (ASAS HI: β=1.92, P<0.001) and metrology index (BASMI: β=0.71, P=0.013). For TNFi users, BMI was found to be negatively correlated with changes in disease activity (ΔBASDAI and ΔASDAS) in the multivariate regression model (all P<0.05), and overweight and obese patients showed an unsatisfactory reduction in disease activity during 3-month, 6-month, 9-month, and 12-month follow-up period, compared to normal weight patients (all P<0.05).Conclusion:Overweight or obesity impacts greatly on clinical outcomes and treatment responses to biologics in patients with ankylosing spondylitis, which argues strongly for obesity management to become central to prevention and treatment strategies in patients with AS.References:[1]Maachi M, Pieroni L, Bruckert E, et al. Systemic low-grade inflammation is related to both circulating and adipose tissue TNFalpha, leptin and IL-6 levels in obese women. Int J Obes Relat Metab Disord 2004;28:993–7.Figure 1.Changes of disease activity for TNFi users during 3-, 6-, 9- and 12-month follow-up according to BMI categories. a: vs. normal weight, P<0.05 in 3 months; b: vs. normal weight, P<0.05 in 6 months; c: vs. normal weight, P<0.05 in 9 months; d: vs. normal weight, P<0.05 in 12 months.Acknowledgments:We appreciate the contribution of the present or former members of the CASPIC study group.Disclosure of Interests:None declared

scholarly journals Homeostasis model assessment of insulin resistance (HOMA-IR) and metabolic syndrome at baseline of a multicentric Brazilian cohort: ELSA-Brasil study

2020 ◽  
Vol 36 (8) ◽  
Author(s):  
Maria de Fátima Haueisen Sander Diniz ◽  
Alline Maria Rezende Beleigoli ◽  
Maria Inês Schmidt ◽  
Bruce B. Duncan ◽  
Antônio Luiz P. Ribeiro ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Normal Weight ◽  
Overweight And Obesity ◽  
Model Assessment ◽  
Adult Health ◽  
Homeostasis Model Assessment ◽  
The Metabolic Syndrome ◽  
Brazilian Cohort ◽  
Overweight Or Obesity

Abstract: Homeostasis model assessment of insulin resistance (HOMA-IR) is a method to measure insulin resistance. HOMA-IR cut-offs for identifying metabolic syndrome might vary across populations and body mass index (BMI) levels. We aimed to investigate HOMA-insulin resistance cut-offs that best discriminate individuals with insulin resistance and with metabolic syndrome for each BMI category in a large sample of adults without diabetes in the baseline of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). Among the 12,313 participants with mean age of 51.2 (SD 8.9) years, the prevalence of metabolic syndrome was 34.6%, and 60.1% had overweight or obesity. The prevalence of metabolic syndrome among normal weight, overweight and obesity categories were, respectively, 13%, 43.2% and 60.7%. The point of maximum combined sensitivity and specificity of HOMA-IR to discriminate the metabolic syndrome was 2.35 in the whole sample, with increasing values at higher BMI categories. This investigation contributes to better understanding HOMA-IR values associated with insulin resistance and metabolic syndrome in a large Brazilian adult sample, and that use of cut-off points according to ROC curve may be the better strategy. It also suggests that different values might be appropriate across BMI categories.

scholarly journals Preliminary Evidence of Children’s Weight Gain From 5 Months of Home Quarantine During the COVID-19 Pandemic

2021 ◽  
pp. 155982762110066
Author(s):  
Keith Brazendale ◽  
Jeanette Garcia ◽  
Ethan T. Hunt ◽  
Michael Blankenship ◽  
Daniel Eisenstein ◽  
...  
Keyword(s):  
Weight Status ◽  
Preventive Measures ◽  
Preliminary Evidence ◽  
Normal Weight ◽  
Preventative Measures ◽  
Significant Difference ◽  
The Impact ◽  
Weight Data ◽  
Overweight Or Obesity

Purpose. Preventive measures to curtail the spread of the Coronavirus Disease 2019 (COVID-19)—such as home quarantine, closure of schools/programs—are necessary, yet the impact of these restrictions on children’s weight status is unknown. The purpose of this case report was to investigate changes in children’s body mass index (BMI) and zBMI during COVID-19 quarantine. Methods. Children had their heights and weights recorded early March 2020 (pre-COVID-19) and 5 months later (early August 2020). Paired sample t tests examined changes in BMI and zBMI from baseline to follow-up. Results. Twenty-nine children (62% female; mean age 9.3 years; 27.5% with overweight or obesity) provided height and weight data at both time points. There was a significant difference in pre-COVID-19 BMI (mean [M] = 20.1, standard deviation [SD] = 6.0) and follow-up BMI (M = 20.7, SD = 6.4); t(57) = −3.8, P < .001, and pre-COVID-19 zBMI (M = 0.8, SD = 0.9) and follow-up zBMI (M = 0.9, SD = 0.9); t(57) = -3.1, P = .003. Five of the 29 children moved from normal weight to overweight (n = 4) or obese (n = 1) during 5 months of quarantine. Conclusions. Preliminary evidence shows most children increased their BMI and zBMI values from pre-COVID-19 assessment to the follow-up assessment, 5 months later. These initial findings identify potential incidental negative health consequences of children as a result of COVID-19 preventative measures such as home quarantine.

scholarly journals Natural history of excessive daytime sleepiness: a population-based 5-year longitudinal study

SLEEP ◽  
2019 ◽  
Vol 43 (3) ◽  
Author(s):  
I Jaussent ◽  
C M Morin ◽  
H Ivers ◽  
Y Dauvilliers
Keyword(s):  
Sleep Duration ◽  
Excessive Daytime Sleepiness ◽  
Daytime Sleepiness ◽  
Adult Population ◽  
Population Based ◽  
Normal Weight ◽  
Point Reduction ◽  
Nighttime Sleep ◽  
Over Time

Abstract Study Objectives To document the rates of persistent, remitted, and intermittent excessive daytime sleepiness (EDS) in a longitudinal 5-year community study of adults and to assess how changes in risk factors over time can predict improvement of daytime sleepiness (DS). Methods Participants were recruited in 2007–2008 as part of a population-based epidemiological study implemented in Canada. They completed postal assessments at baseline and at each yearly follow-up. An Epworth Sleepiness Scale total score &gt;10 indicated clinically significant EDS; a 4-point reduction between two consecutive evaluations defined DS improvement. Socio-demographic, lifestyle, health characteristics, and sleep-related measures (e.g. insomnia symptoms, sleep duration, sleep medication) were self-reported at each time point. Cox proportional-hazard models were used to predict EDS and DS remissions over 5 years. Results Among the 2167 participants, 33% (n = 714) met criteria for EDS at baseline, of whom 33% had persistent EDS, 44% intermittent EDS, and 23% remitted EDS over the follow-up. Furthermore, 61.4% of 2167 initial participants had stable DS, 27.1% sustained DS improvement and 8.5% transient improvement over the follow-up. The main predictors of EDS remission or DS improvement were normal weight, taking less hypnotics, having hypertension, increased nighttime sleep duration, and decreased insomnia, and depressive symptoms. Conclusions EDS waxes and wanes over time with frequent periods of remission and is influenced by behavioral characteristics and changes in psychological, metabolic, and nighttime sleep patterns. Targeting these predictors in future interventions is crucial to reduce DS in the general adult population.

scholarly journals Understanding the Association Between Spontaneous Quit Attempts and Improved Smoking Cessation Success Rates: A Population Survey in England With 6-Month Follow-up

2019 ◽  
Vol 22 (9) ◽  
pp. 1460-1467 ◽  
Author(s):  
Claire Garnett ◽  
Lion Shahab ◽  
Tobias Raupach ◽  
Robert West ◽  
Jamie Brown
Keyword(s):  
Regression Models ◽  
Population Survey ◽  
Adult Population ◽  
Success Rates ◽  
Logistic Regression Models ◽  
The Past ◽  
Quit Attempt ◽  
Quit Attempts ◽  
Adjusted Model

Abstract Introduction Almost half of smoking quit attempts are “spontaneous” (initiated as soon as the decision to quit has been made) and are associated with increased success rates. This study aimed to assess to what extent other factors may account for this association. Methods Data were used from respondents to a survey representative of the adult population in England from 2006 to 2016. We included 2018 respondents who were current smokers at baseline and had attempted to quit between baseline and 6-month follow-up. Logistic regression models assessed the association between quit success and spontaneous quit attempts while adjusting for smoking, sociodemographic, and quit attempt characteristics. Results Spontaneous quit attempts were associated with greater odds of quit success (OR = 1.31, 95% CI = 1.07 to 1.60) but the association was not significant in the fully adjusted model (ORadj = 1.19, 95% CI = 0.95 to 1.49). In this adjusted model, those who attempted to quit without cutting down first (ORadj = 3.08, 95% CI = 2.46 to 3.88) and were male (ORadj = 1.44, 95% CI = 1.16 to 1.80) had greater odds of success; although a greater number of attempts in the past 6 months, stronger urges to smoke (strong vs. none), higher daily cigarette consumption, and lower social grade (E vs. AB) were associated with lower odds of success (ORadj range = 0.32–0.98, p &lt; .030). Quit attempts made without cutting down first were correlated with spontaneous quit attempts (r = .150, p &lt; .001) and appeared to account for the diminished association between spontaneous quitting and success (ORadj = 1.18, 95% CI = 0.96 to 1.46). Conclusions The increased success rate of spontaneous quit attempts appears to be because spontaneous quit attempts are more likely to be made without cutting down first. Implications The apparent benefit of spontaneous over planned quit attempts may be attributable to the former being more likely to involve quitting without cutting down first (ie, abrupt cessation) than cutting down first (ie, gradual cessation) and so this may be a more useful target for advice to improve the chances of successful quitting.

scholarly journals Association of Sleep Duration and Overweight/Obesity among Children in China

2020 ◽  
Vol 17 (6) ◽  
pp. 1962 ◽  
Author(s):  
Jing Fan ◽  
Caicui Ding ◽  
Weiyan Gong ◽  
Fan Yuan ◽  
Yan Zhang ◽  
...  
Keyword(s):  
Sleep Duration ◽  
Family Income ◽  
Multinomial Logistic Regression ◽  
Continuous Variable ◽  
Normal Weight ◽  
Overweight And Obesity ◽  
Short Sleep Duration ◽  
Short Sleep ◽  
Restricted Cubic Splines ◽  
Positive Effect

To investigate the association of sleep duration with overweight and obesity among children aged 6 to 17 years in China, 2010–2012 data from the China National Nutrition and Health Surveillance (CNHHS) were analyzed. A total of 35,414 children were recruited in the survey. Body mass index (BMI) was converted into three categories: normal weight, overweight and obesity. In multinomial logistic regression model, sleep duration was divided into four groups: very short, short, recommended and long. In restricted cubic splines (RCS), sleep duration was examined as a continuous variable in relation to overweight and obesity. In the very short and short groups, sleep duration was a risk factor for obesity after adjusting for the potential impacts of age, gender, residence, family income, leisure sedentary behavior (SB) and leisure exercise, with OR (Odds Ratio) = 3.01 (95% CI (confidence interval): 2.19–4.15) and OR = 1.24 (95% CI: 1.14–1.35), respectively. The adjusted OR of overweight for short sleep duration relative to a recommended sleep duration was 1.17(95% CI: 1.09–1.26). No significant associations of very short sleep with overweight, of long sleep duration with overweight and obesity were found. The RCS curves between sleep duration and overweight and obesity were both inverted J-shaped. To conclude, the shorter the sleep duration, the higher the risk of overweight and obesity in children. Increasing sleep duration would have a positive effect on reducing overweight and obesity rates in Chinese children.

Association between UCP polymorphisms and adipokines with obesity in Mexican adolescents

2018 ◽  
Vol 31 (5) ◽  
pp. 561-568 ◽  
Author(s):  
Reyna Sámano ◽  
Claudia Huesca-Gómez ◽  
Rebeca López-Marure ◽  
Ana-Karen Hernández-Cabrera ◽  
Ana Rodríguez-Ventura ◽  
...  
Keyword(s):  
Plasma Levels ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Recessive Model ◽  
Normal Weight ◽  
Overweight And Obesity ◽  
Lipoprotein Cholesterol ◽  
Clinical Parameters ◽  
Adolescent Population ◽  
Overweight Or Obesity

AbstractBackground:It has been reported that the uncoupling proteins (UCPs) can contribute to energy metabolism, and are thus involved in the pathogenesis of obesity. The objective of the study was to analyze the association betweenUCPpolymorphisms, clinical parameters and leptin and adiponectin plasma levels in an adolescent population with overweight and obesity.Methods:We analyzed theUCP1 -3826 C/T, UCP2-866 G/A, Ala55Val andUCP3 -55 C/Tpolymorphisms and the levels of adipokines in adolescents with normal weight and with overweight or obesity. The study included 270 students aged between 12 and 18 years categorized according to the percentiles from Mexico City. Adipokines levels were measured by immunoassay methods and theUCPpolymorphisms were determined using Taqman real-time polymerase chain reaction (RT-PCR).Results:No significant differences were found in theUCPpolymorphisms in seven inheritance models studied. Most of the significant differences in the clinical parameters were found under a recessive model, theUCP2 -866polymorphism was associated with diastolic blood pressure (p=0.008), triglycerides (p=0.045), low-density lipoprotein-cholesterol (LDL-C) (p=0.003), high-density lipoprotein-cholesterol (HDL-C) (p=0.050) and plasma levels of leptin (p<0.001). Also, the obese group was found to have higher leptin levels and lower adiponectin levels in GA+AA vs. GG (recessive model).Conclusions:This study demonstrated a direct relationship between the clinical characteristics andUCP2-866in a recessive model, associated with high levels of leptin and decreased levels of adiponectin in an obese or overweight Mexican adolescent population.

Association Between Adolescent Body Mass Index and Adulthood Smoking

2018 ◽  
Vol 21 (12) ◽  
pp. 1629-1635 ◽  
Author(s):  
Michael Fang
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Cigarette Smoking ◽  
Body Mass ◽  
Smoking Behavior ◽  
The United States ◽  
Adolescent Females ◽  
Overweight And Obesity ◽  
The Past

Abstract Introduction Studies increasingly find a prospective association between adolescent weight status and adverse physical health outcomes. However, less is known about the long-term consequences of adolescent body weight on the adoption of health-risk behaviors. This study sought to determine whether adolescent body mass index (BMI) was associated with cigarette smoking in adulthood. Methods Six thousand six hundred eighty-three nonsmoking adolescents were interviewed at baseline (1996, age 11–20) and at follow-up (2008, age 24–32) as part of the National Longitudinal Survey of Adolescent Health. Logistic and fractional regression models tested the association between adolescent BMI and smoking status and frequency in adulthood. Respondent weight and height were measured at baseline and converted into age and sex-specific BMI z-scores. Being a smoker was defined as smoking at least once in the past 30 days, while smoking frequency was defined as the proportion of days smoked over the past 30 days. Both outcomes were measured at follow-up. Results Adolescent BMI was positively associated with the transition from nonsmoking to smoking 12 years later for women but not men. Adolescent BMI was also positively associated with smoking frequency among women smokers. Both associations persisted after adjusting for established risk factors and were robust to sensitivity analyses. Conclusions Adolescent BMI was strongly associated with increased cigarette smoking behavior in adulthood for women, even after adjusting for important risk factors. Implications Using a large, nationally representative sample, this study found that adolescent BMI was positively associated with smoking behavior during adulthood for women but not men. These results have potentially important public health implications for future smoking rates in the United States, as the prevalence of overweight and obesity among US adolescent females continues to grow. Thus, it may be important for smoking prevention interventions to prioritize overweight adolescent females moving forward.

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