Thinking big: An integrative conceptual review of the workplace consequences of obesity and a theoretical extension of the processes that create them.

2020 ◽  
Vol 105 (7) ◽  
pp. 671-692
Author(s):  
Michael A. Johnson ◽  
Marshall Schminke
Keyword(s):  
Consequences Of Obesity

Nondiabetic consequences of obesity on kidney

2006 ◽  
Vol 21 (4) ◽  
pp. 463-470 ◽  
Author(s):  
Tarak Srivastava
Keyword(s):  
Consequences Of Obesity

scholarly journals Beliefs about Causes and Consequences of Obesity among Women in Two Mexican Cities

2012 ◽  
Vol 30 (3) ◽  
Author(s):  
Arturo Jiménez-Cruz ◽  
Yolanda Martínez de Escobar-Aznar ◽  
Octelina Castillo-Ruiz ◽  
Raul Gonzalez-Ramirez ◽  
Montserrat Bacardí-Gascón
Keyword(s):  
Consequences Of Obesity

The Health And Cost Consequences Of Obesity Among The Future Elderly

2005 ◽  
Vol 24 (Suppl2) ◽  
pp. W5-R30-W5-R41 ◽  
Author(s):  
Darius N. Lakdawalla ◽  
Dana P. Goldman ◽  
Baoping Shang
Keyword(s):  
The Future ◽  
Consequences Of Obesity

scholarly journals Novel insights into the consequences of obesity: a phenotype-wide Mendelian randomization study

2022 ◽  
Author(s):  
Chang He ◽  
Miaoran Zhang ◽  
Jiuling Li ◽  
Yiqing Wang ◽  
Lanlan Chen ◽  
...  
Keyword(s):  
Instrumental Variables ◽  
Fixed Effects ◽  
Mendelian Randomization ◽  
Portion Size ◽  
Causal Effects ◽  
Calorie Intake ◽  
Smoking Behaviors ◽  
Prostate Cancers ◽  
The Uk ◽  
Consequences Of Obesity

AbstractObesity is thought to significantly impact the quality of life. In this study, we sought to evaluate the health consequences of obesity on the risk of a broad spectrum of human diseases. The causal effects of exposing to obesity on health outcomes were inferred using Mendelian randomization (MR) analyses using a fixed effects inverse-variance weighted model. The instrumental variables were SNPs associated with obesity as measured by body mass index (BMI) reported by GIANT consortium. The spectrum of outcome consisted of the phenotypes from published GWAS and the UK Biobank. The MR-Egger intercept test was applied to estimate horizontal pleiotropic effects, along with Cochran’s Q test to assess heterogeneity among the causal effects of instrumental variables. Our MR results confirmed many putative disease risks due to obesity, such as diabetes, dyslipidemia, sleep disorder, gout, smoking behaviors, arthritis, myocardial infarction, and diabetes-related eye disease. The novel findings indicated that elevated red blood cell count was inferred as a mediator of BMI-induced type 2 diabetes in our bidirectional MR analysis. Intriguingly, the effects that higher BMI could decrease the risk of both skin and prostate cancers, reduce calorie intake, and increase the portion size warrant further studies. Our results shed light on a novel mechanism of the disease-causing roles of obesity.

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