BakhtiyariMSchmidtNHadaeghFet al.Direct and indirect effects of central and general adiposity on cardiovascular diseases: The Tehran Lipid and Glucose Study. Eur J Prev Cardiol. 2018; 25: 1170–1181.
2.
HernánMA. The C-word: Scientific euphemisms do not improve causal inference from observational data. Am J Public Health2018; 108: 616–619.
3.
LiuS-HUlbrichtCMChrysanthopoulouSAet al.Implementation and reporting of causal mediation analysis in 2015: A systematic review in epidemiological studies. BMC Res Notes2016; 9: 354–354.
4.
Pearl J. Direct and indirect effects. In: Proceedings of the seventeenth conference on uncertainty in artificial intelligence, Seattle, Washington, August 2 – 5, 2001, pp.411–420, San Francisco, USA: Morgan Kaufmann Publishers Inc.
5.
VanderWeeleT. Explanation in causal inference: Methods for mediation and interaction, New York: Oxford University Press, 2015.
6.
DaleCEFatemifarGPalmerTMet al.Causal associations of adiposity and body fat distribution with coronary heart disease, stroke subtypes, and type 2 diabetes mellitus: A Mendelian randomization analysis. Circulation2017; 135: 2373–2388.
7.
VanderWeeleTJ. Mediation analysis: A practitioner’s guide. Annu Rev Public Health2016; 37: 17–32.
8.
LuYHajifathalianKRimmEBet al.Mediators of the effect of body mass index on coronary heart disease: Decomposing direct and indirect effects. Epidemiology2015; 26: 153–162.
9.
NaimiAIKaufmanJSMacLehoseRF. Mediation misgivings: Ambiguous clinical and public health interpretations of natural direct and indirect effects. Int J Epidemiol2014; 43: 1656–1661.