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

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.

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

SLEEP ◽  
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

scholarly journals The Future Excess Fraction of Cancer Attributable to High Body Mass Index in Australia

2018 ◽  
Vol 4 (Supplement 2) ◽  
pp. 194s-194s ◽  
Author(s):  
R. Carey ◽  
R. Norman ◽  
D. Whiteman ◽  
A. Reid ◽  
R. Neale ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Adult Population ◽  
Significant Proportion ◽  
High Body Mass Index ◽  
Overweight And Obesity ◽  
High Body ◽  
Increased Risk ◽  
The Future ◽  
Future Burden

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.

scholarly journals Estimated and projected burden of multiple sclerosis attributable to smoking and childhood and adolescent high body-mass index: a comparative risk assessment

2020 ◽  
Author(s):  
Julia Pakpoor ◽  
Klaus Schmierer ◽  
Jack Cuzick ◽  
Gavin Giovannoni ◽  
Ruth Dobson
Keyword(s):  
Risk Factors ◽  
Multiple Sclerosis ◽  
Body Mass Index ◽  
Body Mass ◽  
Early Life ◽  
Time Lag ◽  
Early Adulthood ◽  
High Body Mass Index ◽  
High Body ◽  
High Bmi

Abstract Background Smoking and childhood and adolescent high body-mass index (BMI) are leading lifestyle-related risk factors of global premature morbidity and mortality, and have been associated with an increased risk of developing multiple sclerosis (MS). This study aims to estimate and project the proportion of MS incidence that could be prevented with elimination of these risk factors. Methods Prevalence estimates of high BMI during childhood/adolescence and smoking in early adulthood, and relative risks of MS, were obtained from published literature. A time-lag of 10 years was assumed between smoking in early adulthood and MS incidence, and a time-lag of 20 years was assumed between childhood/adolescent high BMI and MS incidence. The MS population attributable fractions (PAFs) of smoking and high BMI were estimated as individual and combined risk factors, by age, country and sex in 2015, 2025 and 2035 where feasible. Results The combined estimated PAFs for smoking and high BMI in 2015 were 14, 11, 12 and 12% for the UK, USA, Russia and Australia in a conservative estimate, and 21, 20, 19 and 16% in an independent estimate, respectively. Estimates for smoking are declining over time, whereas estimates for high early life BMI are rising. The PAF for high early life BMI is highest in the USA and is estimated to increase to 14% by 2035. Conclusions Assuming causality, there is the potential to substantially reduce MS incidence with the elimination of lifestyle-related modifiable risk factors, which are the target of global public health prevention strategies.

Temporal trend of early pregnancy high body mass index in Australian women: risk factors and outcomes

2021 ◽  
Vol 29 (1) ◽  
pp. 10-18
Author(s):  
Marjan Khajehei ◽  
Hassan Assareh
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Body Mass ◽  
Early Pregnancy ◽  
High Body Mass Index ◽  
Tertiary Hospital ◽  
Reproductive Age ◽  
Smoking During Pregnancy ◽  
High Body ◽  
High Bmi

Background There is a shift toward the increasing weight gain among women of reproductive age. Aim To assess changes in the prevalence of high body mass index (BMI) (including both overweight and obese) in early pregnancy in Australian women, and its risk factors and association with selected birth outcomes from 2011–2017. Methods Records of pregnant women who received antenatal care and gave birth at an Australian tertiary hospital during 2011–2017 were evaluated and trends of high BMI were investigated. Results The risk of high BMI at early pregnancy increased by 3% annually and rose from 37% in 2011 to 44% in 2017. The risk of high BMI was greater in women who were more than 35 years old, multiparous, were smoking during pregnancy, and who had neurological disorders. High maternal BMI was associated with greater risks of having assisted conception, caesarean section and larger neonate. Conclusion The rate of high BMI in early pregnancy increased between 2011–2017.

scholarly journals High body mass index in children with sickle cell disease: a retrospective single-centre audit

2018 ◽  
Vol 2 (1) ◽  
pp. e000302 ◽  
Author(s):  
Rachael Hall ◽  
Kate Gardner ◽  
David C Rees ◽  
Subarna Chakravorty
Keyword(s):  
Body Mass Index ◽  
Sickle Cell Disease ◽  
Disease Severity ◽  
Body Mass ◽  
Sickle Cell ◽  
High Body Mass Index ◽  
Cell Disease ◽  
Admission Rates ◽  
High Body ◽  
High Bmi

ObjectiveTo assess the prevalence of high body mass index (BMI) in children with sickle cell disease and assess correlation between BMI and disease severity.DesignRetrospective chart review followed by statistical analysis.SettingA single tertiary paediatric clinic in inner city London.PatientsAll patients with sickle cell disease, including homozygous haemoglobin (HbSS) and compound heterozygous Hb (HbSC), age 2–18 years receiving clinical care at the centre, were included in the study.InterventionsHeight and weight measurements, steady-state laboratory blood tests, hospital admission rates, adjunct therapy such as hydroxycarbamide or blood transfusions and obstructive sleep apnoea (OSA) data were obtained from the hospital electronic patient records.Main outcome measuresTo study the prevalence of high BMI and to identify any correlation between BMI and disease severity.Results385 patients were included. 64 children (17%) were overweight or obese, of which a significantly higher number of children with HbSC were obese or overweight (23 out of 91, 25%) compared with those with HbSS (36 out of 273, 13%), p≤0.001. No correlation was found between high BMI and presence of OSA, and markers of disease severity such as admission rates, fetal haemoglobin or lactate dehydrogenase levels.ConclusionsHigh BMI did not correlate with disease severity in this cohort of patients with sickle cell disease. Obesity was more prevalent in females and those with HbSC. Further prospective studies are needed to determine long-term effects of BMI in disease severity and outcome.

scholarly journals Global burden of obesity

2017 ◽  
Vol 1 (1) ◽  
pp. 45
Author(s):  
Muhammad Jawad Hashim
Keyword(s):  
Body Mass Index ◽  
Health Promotion ◽  
Body Mass ◽  
Conflicts Of Interest ◽  
Temporal Trends ◽  
High Body Mass Index ◽  
Sub Saharan Africa ◽  
Global Burden ◽  
High Body ◽  
High Bmi

Global burden of obesity Introduction The burden of nutritional disorders is increasing despite advances in scientific research and health promotion. Nutritional disorders include excess body mass conditions especially obesity (body mass index [BMI] > 30 kg/m2) and being overweight (BMI > 25 and < 30 kg/m2). These conditions are now considered as precursors to several diseases including diabetes, heart disease, musculoskeletal disorders as well as psychiatric illnesses. We studied the global burden of obesity to assess temporal trends and regional variations of this highly prevalent nutritional disorder. Methods We used the Global Burden of Disease database from the Institute of Health Metrics (www.healthdata.org) at the University of Washington, Seattle. This database collates data from a very large number of studies and census figures to generate regional estimates for health statistics. We analyzed the data from 1990 to 2015 using global averages for years lived with disability (YLD). The primary risk factor analyzed was ‘High body-mass index’. The effect of high BMI on all causes of health reduction (including diabetes) were studied for temporal (1990 to 2015) and regional/national patterns. Results The global of burden of diseases due to high BMI is rising continuously, from 213 YLDs per 100,000 in 1990 to 388 YLDs in 2015. A high burden of YLDs was seen in developed regions including North America and Australasia. Northern Europe and Middle East were also disproportionately affected. Areas with low rates of YLDs from obesity included sub-Saharan Africa, south Asia and south east Asia. Marked increases in the rates per 100,000 populations were seen over 1990 to 2015 in countries such as Fiji, USA, Egypt and Ukraine. The burden of suffering is higher among women than men. Conclusion The global burden of suffering due to illnesses caused by high body mass index is continuing to rise. Existing public health measures appear to be ineffective and more efficacious nutritional education and health promotion strategies are urgently needed. Conflicts of interest disclosure: no external or commercial funding source, and no holding of significant equity in a company relevant to the study.

scholarly journals Assessing the Cost-Effectiveness of Interventions That Simultaneously Prevent High Body Mass Index and Eating Disorders

Nutrients ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 2313
Author(s):  
Long Khanh-Dao Le ◽  
Phillipa Hay ◽  
Jaithri Ananthapavan ◽  
Yong Yi Lee ◽  
Cathrine Mihalopoulos
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Eating Disorders ◽  
Cost Effectiveness ◽  
Body Mass ◽  
High Body Mass Index ◽  
High Body ◽  
Effective Interventions ◽  
The Cost ◽  
High Bmi

Eating disorders (ED) are among the top three most common debilitating illnesses in adolescent females, while high Body Mass Index (BMI) is one of the five leading modifiable risk factors for preventable disease burden. The high prevalence of eating and weight-related problems in adolescence is of great concern, particularly since this is a period of rapid growth and development. Here, we comment on the current evidence for the prevention of EDs and high BMI and the importance of assessing the cost-effectiveness of interventions that integrate the prevention of EDs and high BMI in this population. There is evidence that there are effective interventions targeted at children, adolescents and young adults that can reduce the prevalence of risk factors associated with the development of EDs and high BMI concurrently. However, optimal decision-making for the health of younger generations involves considering the value for money of these effective interventions. Further research investigating the cost-effectiveness of potent and sustainable integrated preventive interventions for EDs and high BMI will provide decision makers with the necessary information to inform investment choices.

scholarly journals High body-mass index and mortality from cardiometabolic diseases in Peru: a comparative risk assessment analysis

2021 ◽  
Vol 6 ◽  
pp. 289
Author(s):  
Wilmer Cristobal Guzman-Vilca ◽  
Fritz Fidel Vascones-Roman ◽  
Gustavo A. Quispe-Villegas ◽  
Rodrigo M. Carrillo-Larco
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
High Body Mass Index ◽  
Absolute Number ◽  
Major Contributor ◽  
Cardiometabolic Diseases ◽  
High Body ◽  
Mortality Burden ◽  
The Absolute ◽  
High Bmi

Background: High body-mass index (BMI) is a major contributor to the global burden of cardiometabolic diseases (CMD) like type 2 diabetes mellitus (T2DM) and cardiovascular diseases (CVD). We aimed to quantify the mortality burden associated with high BMI in Peru to inform policies and set priorities. Methods: We computed population attributable fractions (PAF) combining BMI prevalence estimates from the Peruvian Demographic and Health Survey and relative risks between high BMI and CMD mortality from the GBD 2019 Study. PAFs were multiplied by the CMD deaths recorded in the national death registry to obtain the absolute number of CMD deaths attributable to high BMI in each region, sex and five-year age group. Results: In 2018, the absolute number of T2DM deaths attributable to high BMI in Peru was 1,376 (50.3%) in men and 1,663 (56.0%) in women; the absolute number of CVD deaths related to high BMI was 1,665 in men (23.6%) and 1,551 (24.7%) in women. Most CMD deaths related to high BMI were attributable to obesity class 1 and overweight. Regions with the highest proportions of CMD deaths related to high BMI were in the Amazon (Madre de Dios, Ucayali) and the Coast (Tacna, Moquegua); conversely, regions with the lowest proportions were in the Highlands (Huancavelica, Apurimac). Conclusions: High BMI is a major contributor to the CMD mortality burden in Peru, with high variability across regions. Health policies need to be strengthened to reduce BMI at the population level, which may have a subsequent reduction in the associated CMD mortality.

scholarly journals The Application of Fat-Free Mass Index for Survival Prediction in Cancer Patients With Normal and High Body Mass Index

2021 ◽  
Vol 8 ◽  
Author(s):  
Xi Zhang ◽  
Qi Zhang ◽  
Li-jin Feng ◽  
Kang-Ping Zhang ◽  
Meng Tang ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Weight Loss ◽  
Cancer Patients ◽  
Body Mass ◽  
High Body Mass Index ◽  
Fat Free Mass ◽  
Survival Prediction ◽  
High Body ◽  
Worse Prognosis ◽  
High Bmi

Background: Fat-free mass (FFM) depletion can be masked by a stable body weight or weight gain in the presence of a normal or high body mass index (BMI). This study investigated the prognostic value of low fat-free mass index (FFMI) in cancer patients with normal or high BMI.Methods: This multicenter retrospective cohort study included 1,602 cancer patients with normal/high BMI. The association of FFMI with patients' overall survival (OS) was analyzed by the Kaplan-Meier method and a Cox model.Results: In this analysis, there were 974 (60.8%) females and 628 (39.2%) males. Low FFMI was associated with worse OS when compared with those patients with normal FFMI. After multivariate adjustment, low FFMI was demonstrated to be an independent unfavorable prognostic factor (HR: 1.69; 95% CI: 1.28, 2.23; P &lt; 0.001) in cancer patients with normal/high BMI. For specific tumor type, low FFMI was found to be associated with worse prognosis in patients with lung cancer, breast cancer and upper gastrointestinal cancer. In subgroup analysis, the association of low FFMI with worse survival was significantly modified by weight loss (P for interaction = 0.012), and those patients with concurrent low FFMI and weight loss showed the worst prognosis (HR: 3.53; 95% CI: 2.04, 6.11; P &lt; 0.001).Conclusion: Low FFMI was associated with worse prognosis in cancer patients with normal/high BMI. This study highlights the usefulness of FFMI for prognostic estimation in these patients.

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