scholarly journals Two Simple Models for Observational Studies

2020 ◽  
pp. 73-109
Author(s):  
Paul R. Rosenbaum
Keyword(s):  
Observational Studies ◽  
Simple Models

The association between dietary inflammatory index and risk of central obesity in adults: An updated systematic review and meta-analysis

2020 ◽  
Vol 90 (5-6) ◽  
pp. 535-552 ◽  
Author(s):  
Mahdieh Abbasalizad Farhangi ◽  
Mahdi Vajdi
Keyword(s):  
Systematic Review ◽  
Observational Studies ◽  
Central Obesity ◽  
Assessment Tool ◽  
Weighted Mean Difference ◽  
Meta Analysis ◽  
Dietary Factors ◽  
Cross Sectional ◽  
Inflammatory Status ◽  
Obesity Indices

Abstract. Backgrounds: Central obesity, as a pivotal component of metabolic syndrome is associated with numerous co-morbidities. Dietary factors influence central obesity by increased inflammatory status. However, recent studies didn’t evaluate the association between central obesity and dietary inflammation index (DII®) that give score to dietary factors according to their inflammatory potential. In the current systematic review and meta-analysis, we summarized the studies that investigated the association between DII® with central obesity indices in the general populations. Methods: In a systematic search from PubMed, SCOPUS, Web of Sciences and Cochrane electronic databases, we collected relevant studies written in English and published until 30 October 2019. The population of included studies were apparently healthy subjects or individuals with obesity or obesity-related diseases. Observational studies that evaluated the association between DII® and indices of central obesity including WC or WHR were included. Results: Totally thirty-two studies were included; thirty studies were cross-sectional and two were cohort studies with 103071 participants. Meta-analysis of observational studies showed that higher DII® scores were associated with 1.81 cm increase in WC (Pooled weighted mean difference (WMD) = 1.813; CI: 0.785–2.841; p = 0.001). Also, a non-significant increase in the odds of having higher WC (OR = 1.162; CI: 0.95–1.43; p = 0.154) in the highest DII category was also observed. In subgroup analysis, the continent, dietary assessment tool and gender were the heterogeneity sources. Conclusion: The findings proposed that adherence to diets with high DII® scores was associated with increased WC. Further studies with interventional designs are necessary to elucidate the causality inference between DII® and central obesity indices.

Big data and simple models used to track the spread of COVID-19 in cities

Nature ◽  
2020 ◽  
Vol 589 (7840) ◽  
pp. 26-28
Author(s):  
Kevin C. Ma ◽  
Marc Lipsitch
Keyword(s):  
Big Data ◽  
Simple Models

Control by Pyragas method with variable delay: from simple models to experiments

2014 ◽  
Vol 1 ◽  
pp. 679-682
Author(s):  
Aleksandar Gjurchinovski ◽  
Thomas Jüngling ◽  
Viktor Urumov
Keyword(s):  
Variable Delay ◽  
Simple Models

BUBBLE TRACKING SIMULATIONS USING SIMPLE MODELS FOR FLUCTUATING BUBBLE MOTION

2020 ◽  
Vol 32 (3) ◽  
pp. 221-236
Author(s):  
Ryo Kurimoto ◽  
Kosuke Hayashi ◽  
Akio Tomiyama
Keyword(s):  
Bubble Motion ◽  
Simple Models

257-OR: High Glucose Levels and Risk of Vascular Diseases—Observational Studies and Mendelian Randomization Studies of the General Population

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 257-OR
Author(s):  
FRIDA EMANUELSSON ◽  
SARAH MAROTT ◽  
ANNE TYBJAERG-HANSEN ◽  
BØRGE GRØNNE NORDESTGAARD ◽  
MARIANNE BENN
Keyword(s):  
General Population ◽  
High Glucose ◽  
Observational Studies ◽  
Mendelian Randomization ◽  
Vascular Diseases ◽  
Glucose Levels
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