High body mass index, overweight, and obesity in children: Definitions, terminology, and interpretation

Background: High body mass index (BMI > 25 kg/m2) has been found to be associated with an increased risk of many cancers, including cancers of the colon and rectum, liver, and pancreas. Aim: This study aimed to estimate the future burden of cancer resulting from current levels of overweight and obesity in Australia. Methods: The future excess fraction method was used to estimate the future burden of cancer among the proportion of the Australian adult population who were overweight or obese in 2016. Calculations were conducted for 13 cancer types, including cancers of the colon, rectum, kidney, and liver. Results: The cohort of 18.7 million adult Australians in 2016 will develop ∼7.6 million cancers over their lifetime. Of these, ∼402,500 cancers (5.3%) will be attributable to current levels of overweight and obese. The majority of these will be postmenopausal breast cancers (n = 72,300), kidney cancers (n = 59,200), and colon cancers (n = 55,100). More than a quarter of future endometrial cancers (30.3%) and esophageal adenocarcinomas (35.8%) will be attributable to high body mass index. Conclusion: A significant proportion of future cancers will result from current levels of high body mass index. Our estimates are not directly comparable to past estimates of the burden from overweight and obesity because they describe different quantities - future cancers in currently exposed vs current cancers due to past exposures. The results of this study provide us with relevant up-to-date information about how many cancers in Australia could be prevented.

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Non-communicable diseases deaths attributable to high body mass index in Chile

Scientific Reports ◽

10.1038/s41598-021-94974-z ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Ricardo Riquelme ◽

Leandro F. M. Rezende ◽

Juan Guzmán-Habinger ◽

Javiera L. Chávez ◽

Carlos Celis-Morales ◽

...

Keyword(s):

Body Mass Index ◽

Respiratory Disease ◽

Body Mass ◽

High Body Mass Index ◽

Communicable Diseases ◽

Overweight And Obesity ◽

Exposure Level ◽

Non Communicable Diseases ◽

High Body ◽

High Bmi

AbstractWe estimated the proportion and number of deaths from non-communicable diseases (NCD) attributable to high body mass index (BMI) in Chile in 2018. We used data from 5927 adults from a 2016–2017 Chilean National Health Survey to describe the distribution of BMI. We obtained the number of deaths from NCD from the Ministry of Health. Relative risks (RR) and 95% confidence intervals per 5 units higher BMI for cardiovascular disease, cancer, and respiratory disease were retrieved from the Global BMI Mortality Collaboration meta-analyses. The prevalences of overweight and obesity were 38.9% and 39.1%, respectively. We estimated that reducing population-wide BMI to a theoretical minimum risk exposure level (mean BMI: 22.0 kg/m2; standard deviation: 1) could prevent approximately 21,977 deaths per year (95%CI 13,981–29,928). These deaths represented about 31.6% of major NCD deaths (20.1–43.1) and 20.4% of all deaths (12.9–27.7) that occurred in 2018. Most of these preventable deaths were from cardiovascular diseases (11,474 deaths; 95% CI 7302–15,621), followed by cancer (5597 deaths; 95% CI 3560–7622) and respiratory disease (4906 deaths; 95% CI 3119–6684). A substantial burden of NCD deaths was attributable to high BMI in Chile. Policies and population-wide interventions are needed to reduce the burden of NCD due to high BMI in Chile.

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636 Associations among sleep, physical activity and high body mass index in youth: Age differences

SLEEP ◽

10.1093/sleep/zsab072.634 ◽

2021 ◽

Vol 44 (Supplement_2) ◽

pp. A249-A249

Author(s):

Xiaopeng Ji ◽

Lauren Covington ◽

Janeese Brownlow

Keyword(s):

Physical Activity ◽

Body Mass Index ◽

Sleep Duration ◽

Body Mass ◽

Age Groups ◽

High Body Mass Index ◽

Overweight And Obesity ◽

Regular Physical Activity ◽

High Body ◽

High Bmi

Abstract Introduction Short sleep duration is associated with overweight and obesity. Less clear is how sleep regularity and physical activity interact with sleep duration in predicting overweight across adolescent stages. This study examined interactions between (1) sleep duration and regularity, and (2) sleep duration and physical activity on overweight in preadolescents (10–11 years), early (12–14), and middle (15–17 years) adolescents. Methods Using the National Survey of Children’s Health 2017–2018 dataset, we included youth with sleep, physical activity and overweight data available (n=25,875) in the analyses. Parents reported their children’s sleep duration, sleep regularity and physical activity (>60 min/day) frequency per week. High Body Mass Index (BMI, ≥85th percentile) for age and sex indicated overweight/obesity. Accounting for complex survey design and covariates (age, sex, race, poverty, and resilience), separate logistic regression models (STATA 16.0) estimated the associations in preadolescents, early and middle adolescents. Results Preadolescents had the highest odds of high BMI compared to other age groups (OR= 0.64 and 0.78, p<0.001). Every hour increase in sleep duration was associated with 4–18% decrease in the odds of having high BMI, with the highest magnitude shown in preadolescents (OR=0.82, p<0.001), followed by adolescents aged 12–14 (OR=0.89, p<0.001) and 15–17 years old (OR=0.96, p=0.04). For preadolescents, irregular sleep (OR=1.41, p<0.001) and physical activity (OR=0.83, p=0.03) modified the association between sleep duration and BMI. Specifically, the association was attenuated or even reversed among irregular sleepers (OR=1.09, p=0.27) compared with regular sleepers (OR=0.77, p<0.001). Preadolescents with regular physical activity (≥4 days/week) showed stronger associations (OR=0.74, p<0.001) between sleep duration and BMI than their counterparts (OR=0.89, p=0.01). Sleep regularity was not associated with BMI nor a modifier in other age groups. Although there was no interaction with sleep duration, regular physical activity was independently associated with decreased odds of having high BMI (OR=0.62, p<0.001) in early and middle adolescents. Conclusion The relationship between lifestyle factors (i.e., sleep duration and physical activity) and BMI varies by age groups. Sufficient sleep duration, regular bedtimes and physical activity represent resilience factors against overweight/obesity, especially in preadolescents who are at greater risk for high BMI. Support (if any) N/A

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