scholarly journals High body mass index in rheumatoid arthritis: why we should promote physical activity

2017 ◽  
Vol 19 (1) ◽  
Author(s):  
M. Hugo ◽  
N. Mehsen-Cetre ◽  
A. Pierreisnard ◽  
E. Pupier ◽  
B. Cherifi ◽  
...  
Rheumatology ◽  
2015 ◽  
Vol 55 (2) ◽  
pp. 307-314 ◽  
Author(s):  
Carl Turesson ◽  
Ulf Bergström ◽  
Mitra Pikwer ◽  
Jan-Åke Nilsson ◽  
Lennart T. H. Jacobsson

2019 ◽  
Vol 49 (1-2) ◽  
pp. 32-45 ◽  
Author(s):  
Mahdi Taghadosi ◽  
Zahra Samimi ◽  
Shirin Assar ◽  
Mohammad Reza Salahshoor ◽  
Cyrus Jalili

2013 ◽  
Vol 72 (Suppl 3) ◽  
pp. A402.2-A403 ◽  
Author(s):  
C. Turesson ◽  
U. Bergström ◽  
M. Pikwer ◽  
J.-Å. Nilsson ◽  
L. T. Jacobsson

2022 ◽  
Vol 8 ◽  
Author(s):  
Jinyu Man ◽  
Tongchao Zhang ◽  
Xiaolin Yin ◽  
Hui Chen ◽  
Yuan Zhang ◽  
...  

Background: Understanding the spatiotemporal trends of colorectal cancer (CRC) deaths caused by low physical activity (LPA) and high body mass index (BMI) is essential for the prevention and control of CRC. We assessed patterns of LPA and high BMI-induced CRC deaths from 1990 to 2019 at global, regional, and national levels.Methods: Data on CRC deaths due to LPA and high BMI was downloaded from the Global Burden of Disease 2019 Study. We calculated estimated annual percentage change (EAPC) to quantify spatiotemporal trends in the CRC age-standardized mortality rate (ASMR) due to LPA and high BMI.Results: In 2019, CRC deaths due to LPA and high BMI were estimated as 58.66 thousand and 85.88 thousand, and the corresponding ASMRs were 0.77/100,000 and 1.07/100,000, with EAPCs of−0.39 [95% confidence interval (CI):−0.49,−0.29] and 0.64[95% CI: 0.57, 0.71] from 1990 to 2019 respectively. Since 1990, the ASMR of CRC attributable to LPA and high BMI has been on the rise in many geographic regions, especially in low middle and middle sociodemographic index (SDI) regions. Thirteen countries had a significant downward trend in CRC ASMR attributed to LPA, with EAPCs < −1. And, only 4 countries had a significant downward trend in CRC ASMR attributable to high BMI, with EAPCs < −1. Countries with a higher baseline burden in 1990 and a higher SDI in 2019 had a faster decline in ASMR due to high BMI and LPA.Conclusions: The burden of CRC caused by LPA and high BMI is on the rise in many countries. Countries should adopt a series of measures to control the local prevalence of obesity and LPA in order to reduce disease burden, including CRC.


SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A249-A249
Author(s):  
Xiaopeng Ji ◽  
Lauren Covington ◽  
Janeese Brownlow

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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