Literature DB >> 29970414

Adiposity-Mortality Relationships in Type 2 Diabetes, Coronary Heart Disease, and Cancer Subgroups in the UK Biobank, and Their Modification by Smoking.

David A Jenkins1, Jack Bowden2, Heather A Robinson3, Naveed Sattar4, Ruth J F Loos5,6, Martin K Rutter7,8, Matthew Sperrin3.   

Abstract

OBJECTIVE: The obesity paradox in which overweight/obesity is associated with mortality benefits is believed to be explained by confounding and reverse causality rather than by a genuine clinical benefit of excess body weight. We aimed to gain deeper insights into the paradox through analyzing mortality relationships with several adiposity measures; assessing subgroups with type 2 diabetes, with coronary heart disease (CHD), with cancer, and by smoking status; and adjusting for several confounders. RESEARCH DESIGN AND METHODS: We studied the general UK Biobank population (N = 502,631) along with three subgroups of people with type 2 diabetes (n = 23,842), CHD (n = 24,268), and cancer (n = 45,790) at baseline. A range of adiposity exposures were considered, including BMI (continuous and categorical), waist circumference, body fat percentage, and waist-to-hip ratio, and the outcome was all-cause mortality. We used Cox regression models adjusted for age, smoking status, deprivation index, education, and disease history.
RESULTS: For BMI, the obesity paradox was observed among people with type 2 diabetes (adjusted hazard ratio for obese vs. normal BMI 0.78 [95% CI 0.65, 0.95]) but not among those with CHD (1.00 [0.86, 1.17]). The obesity paradox was pronounced in current smokers, absent in never smokers, and more pronounced in men than in women. For other adiposity measures, there was less evidence for an obesity paradox, yet smoking status consistently modified the adiposity-mortality relationship.
CONCLUSIONS: The obesity paradox was observed in people with type 2 diabetes and is heavily modified by smoking status. The results of subgroup analyses and statistical adjustments are consistent with reverse causality and confounding.
© 2018 by the American Diabetes Association.

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Year:  2018        PMID: 29970414     DOI: 10.2337/dc17-2508

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


  10 in total

1.  Defining cutoffs to diagnose obesity using the relative fat mass (RFM): Association with mortality in NHANES 1999-2014.

Authors:  Orison O Woolcott; Richard N Bergman
Journal:  Int J Obes (Lond)       Date:  2020-01-07       Impact factor: 5.095

2.  Differential Effect of Generalized and Abdominal Obesity on the Development and Progression of Diabetic Retinopathy in Chinese Adults With Type 2 Diabetes.

Authors:  Xiaoyan Han; Huimin Wu; Youjia Li; Meng Yuan; Xia Gong; Xiao Guo; Rongqiang Tan; Ming Xie; Xiaoling Liang; Wenyong Huang; Hua Liu; Lanhua Wang
Journal:  Front Med (Lausanne)       Date:  2022-05-27

3.  A comparison of obesity indices in relation to mortality in type 2 diabetes: the Fremantle Diabetes Study.

Authors:  Joel Tate; Matthew Knuiman; Wendy A Davis; Timothy M E Davis; David G Bruce
Journal:  Diabetologia       Date:  2019-12-14       Impact factor: 10.122

4.  Association of obesity indices with in-hospital and 1-year mortality following acute coronary syndrome.

Authors:  Zuhur Balayah; Alawi A Alsheikh-Ali; Wafa Rashed; Wael Almahmeed; Arif Al Mulla; Najib Alrawahi; Samia Mora; Sagar B Dugani; Mohammad Zubaid
Journal:  Int J Obes (Lond)       Date:  2020-09-17       Impact factor: 5.095

5.  Associations of weight loss with obesity-related comorbidities in a large integrated health system.

Authors:  Arshiya Mariam; Galen Miller-Atkins; Kevin M Pantalone; Neeraj Iyer; Anita D Misra-Hebert; Alex Milinovich; Janine Bauman; Michelle Mocarski; Abhilasha Ramasamy; B Gabriel Smolarz; Todd M Hobbs; Robert S Zimmerman; Bartolome Burguera; Michael W Kattan; Daniel M Rotroff
Journal:  Diabetes Obes Metab       Date:  2021-09-28       Impact factor: 6.408

6.  Is the Obesity Paradox in Type 2 Diabetes Due to Artefacts of Biases? An Analysis of Pooled Cohort Data from the Heinz Nixdorf Recall Study and the Study of Health in Pomerania.

Authors:  Bernd Kowall; Andreas Stang; Raimund Erbel; Susanne Moebus; Astrid Petersmann; Antje Steveling; Karl-Heinz Jöckel; Henry Völzke
Journal:  Diabetes Metab Syndr Obes       Date:  2020-06-16       Impact factor: 3.168

7.  Cigarette Smoking Is Negatively Associated with the Prevalence of Type 2 Diabetes in Middle-Aged Men with Normal Weight but Positively Associated with Stroke in Men.

Authors:  Su Wang; Jie Chen; Yuzhong Wang; Yu Yang; Danyu Zhang; Chao Liu; Kun Wang
Journal:  J Diabetes Res       Date:  2019-09-11       Impact factor: 4.011

8.  Influence of Diabetic Retinopathy on the Relationship Between Body Mass Index and Mortality in Patients with Poorly Controlled Type 2 Diabetes.

Authors:  Yu-Hsuan Li; Wayne Huey-Herng Sheu; I-Te Lee
Journal:  Diabetes Metab Syndr Obes       Date:  2020-03-24       Impact factor: 3.168

9.  Association of Obesity With Survival Outcomes in Patients With Cancer: A Systematic Review and Meta-analysis.

Authors:  Fausto Petrelli; Alessio Cortellini; Alice Indini; Gianluca Tomasello; Michele Ghidini; Olga Nigro; Massimiliano Salati; Lorenzo Dottorini; Alessandro Iaculli; Antonio Varricchio; Valentina Rampulla; Sandro Barni; Mary Cabiddu; Antonio Bossi; Antonio Ghidini; Alberto Zaniboni
Journal:  JAMA Netw Open       Date:  2021-03-01

10.  Adiposity and risks of vascular and non-vascular mortality among Chinese adults with type 2 diabetes: a 10-year prospective study.

Authors:  Andri Iona; Fiona Bragg; Yu Guo; Ling Yang; Yiping Chen; Pei Pei; Jun Lv; Canqing Yu; Xiaohuan Wang; Jinyi Zhou; Junshi Chen; Robert Clarke; Liming Li; Sarah Parish; Zhengming Chen
Journal:  BMJ Open Diabetes Res Care       Date:  2022-01
  10 in total

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