Literature DB >> 25643095

Mediators of the effect of body mass index on coronary heart disease: decomposing direct and indirect effects.

Yuan Lu1, Kaveh Hajifathalian, Eric B Rimm, Majid Ezzati, Goodarz Danaei.   

Abstract

BACKGROUND: The prevalence of overweight and obesity is rising globally and together they constitute a major risk factor for coronary heart disease (CHD). Previous estimates of direct effects of high body mass index (BMI) on CHD did not consider an interaction between BMI and its mediators and did not include inflammatory biomarkers as potential mediators.
METHODS: We analyzed data from 9 prospective cohort studies with 58,322 participants and 9,459 CHD events and decomposed the total effects into natural direct and indirect effects using a 2-stage regression model. We examined overweight (BMI = 25 to <30 kg/m) separately. We pooled hazard ratios using random-effects models and calculated the percentages of excess relative risk mediated by blood pressure, cholesterol, glucose, fibrinogen and high-sensitive C-reactive protein.
RESULTS: There was no interaction between BMI and its mediators in the multiplicative scale (P < 0.05 for all). Blood pressure was the most important mediator. The percentage of excess relative risk of overweight (versus normal BMI, 20 to <25 kg/m) mediated was 28% for blood pressure, 10% for blood glucose, and 14% for cholesterol. The same percentages for obesity were 37% for blood pressure, 17% for blood glucose, and 6% for cholesterol. The percentage mediated through all three metabolic risk factors together was 47% (95% confidence interval = 33%-63%) for overweight and 52% (38%-68%) for obesity. Fibrinogen mediated 6% to 9% and high-sensitive C-reactive protein mediated 6% to 8% of the excess relative risk for overweight and obese participants.
CONCLUSIONS: Metabolic mediators explain about half of the adverse effects of high BMI on CHD. The role of inflammatory and prothrombotic biomarkers is much smaller than that of metabolic factors.

Entities:  

Mesh:

Substances:

Year:  2015        PMID: 25643095     DOI: 10.1097/EDE.0000000000000234

Source DB:  PubMed          Journal:  Epidemiology        ISSN: 1044-3983            Impact factor:   4.822


  10 in total

1.  Maternal childhood cardiometabolic risk factors and pregnancy complications.

Authors:  Maeve Wallace; Lydia Bazzano; Wei Chen; Emily Harville
Journal:  Ann Epidemiol       Date:  2017-06-29       Impact factor: 3.797

2.  Adult mortality of diseases and injuries attributable to selected metabolic, lifestyle, environmental, and infectious risk factors in Taiwan: a comparative risk assessment.

Authors:  Wei-Cheng Lo; Chu-Chang Ku; Shu-Ti Chiou; Chang-Chuan Chan; Chi-Ling Chen; Mei-Shu Lai; Hsien-Ho Lin
Journal:  Popul Health Metr       Date:  2017-05-03

3.  Laboratory-based and office-based risk scores and charts to predict 10-year risk of cardiovascular disease in 182 countries: a pooled analysis of prospective cohorts and health surveys.

Authors:  Peter Ueda; Mark Woodward; Yuan Lu; Kaveh Hajifathalian; Rihab Al-Wotayan; Carlos A Aguilar-Salinas; Alireza Ahmadvand; Fereidoun Azizi; James Bentham; Renata Cifkova; Mariachiara Di Cesare; Louise Eriksen; Farshad Farzadfar; Trevor S Ferguson; Nayu Ikeda; Davood Khalili; Young-Ho Khang; Vera Lanska; Luz León-Muñoz; Dianna J Magliano; Paula Margozzini; Kelias P Msyamboza; Gerald Mutungi; Kyungwon Oh; Sophal Oum; Fernando Rodríguez-Artalejo; Rosalba Rojas-Martinez; Gonzalo Valdivia; Rainford Wilks; Jonathan E Shaw; Gretchen A Stevens; Janne S Tolstrup; Bin Zhou; Joshua A Salomon; Majid Ezzati; Goodarz Danaei
Journal:  Lancet Diabetes Endocrinol       Date:  2017-01-24       Impact factor: 32.069

4.  The Ten-Year Risk Prediction for Cardiovascular Disease for Malaysian Adults Using the Laboratory-Based and Office-Based (Globorisk) Prediction Model.

Authors:  Che Muhammad Nur Hidayat Che Nawi; Mohd Azahadi Omar; Thomas Keegan; Yong-Poh Yu; Kamarul Imran Musa
Journal:  Medicina (Kaunas)       Date:  2022-05-12       Impact factor: 2.948

5.  Invited commentary: limitations and usefulness of the metabolically healthy obesity phenotype.

Authors:  Patrick T Bradshaw; June Stevens
Journal:  Am J Epidemiol       Date:  2015-09-12       Impact factor: 4.897

Review 6.  Implementation and reporting of causal mediation analysis in 2015: a systematic review in epidemiological studies.

Authors:  Shao-Hsien Liu; Christine M Ulbricht; Stavroula A Chrysanthopoulou; Kate L Lapane
Journal:  BMC Res Notes       Date:  2016-07-20

7.  Mediating effects of metabolic factors on the association between fruit or vegetable intake and cardiovascular disease: the Korean National Health and Nutrition Examination Survey.

Authors:  Hye Ah Lee; Dohee Lim; Kyungwon Oh; Eun Jung Kim; Hyesook Park
Journal:  BMJ Open       Date:  2018-02-28       Impact factor: 2.692

8.  Incidence and Risk Factors for Overweight and Obesity after Initiation of Antiretroviral Therapy in Dar es Salaam, Tanzania.

Authors:  Alexander Kintu; Enju Liu; Ellen Hertzmark; Donna Spiegelman; Rachel Margaret Zack; Aisa Muya; David Sando; Till Bärnighausen; Wafaie Fawzi
Journal:  J Int Assoc Provid AIDS Care       Date:  2018 Jan-Dec

9.  Contribution of obesity and cardiometabolic risk factors in developing cardiovascular disease: a population-based cohort study.

Authors:  Mahmood Bakhtiyari; Elham Kazemian; Kourosh Kabir; Farzad Hadaegh; Sepehr Aghajanian; Parham Mardi; Nooshin Taherzadeh Ghahfarokhi; Ali Ghanbari; Mohammad Ali Mansournia; Freidoun Azizi
Journal:  Sci Rep       Date:  2022-01-28       Impact factor: 4.379

10.  Risk Factors for Incidence of Cardiovascular Diseases and All-Cause Mortality in a Middle Eastern Population over a Decade Follow-up: Tehran Lipid and Glucose Study.

Authors:  Mahsa Sardarinia; Samaneh Akbarpour; Mojtaba Lotfaliany; Farideh Bagherzadeh-Khiabani; Mohammadreza Bozorgmanesh; Farhad Sheikholeslami; Fereidoun Azizi; Farzad Hadaegh
Journal:  PLoS One       Date:  2016-12-08       Impact factor: 3.240

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.