scholarly journals Joint effects of alcohol use, smoking and body mass index as an explanation for the alcohol harm paradox: causal mediation analysis of eight cohort studies

Addiction ◽  
2021 ◽  
Author(s):  
Sebastián Peña ◽  
Pia Mäkelä ◽  
Tiina Laatikainen ◽  
Tommi Härkänen ◽  
Satu Männistö ◽  
...  
PeerJ ◽  
2017 ◽  
Vol 5 ◽  
pp. e3053
Author(s):  
Aolin Wang ◽  
Onyebuchi A. Arah

BackgroundThe macro environment we live in projects what we can achieve and how we behave, and in turn, shapes our health in complex ways. Policymaking will benefit from insights into the mechanisms underlying how national socioeconomic context affects health. This study examined the impact of human development on individual health and the possible mediating roles of education and body mass index (BMI).MethodsWe analyzed World Health Survey data on 109,448 participants aged 25 or older from 42 low- and middle-income countries with augmented human development index (HDI) in 1990. We used principal components method to create a health score based on measures from eight health state domains, used years of schooling as education indicator and calculated BMI from self-reported height and weight. We used causal mediation analysis technique with random intercepts to account for the multilevel structure.ResultsBelow a reference HDI level of 0.48, HDI was negatively associated with good health (total effect at HDI of 0.23:b =  − 3.44, 95% CI [−6.39–−0.49] for males andb =  − 5.16, 95% CI [−9.24,–−1.08] for females) but was positively associated with good health above this reference level (total effect at HDI of 0.75:b = 4.16, 95% CI [−0.33–8.66] for males andb = 6.62, 95% CI [0.85–12.38] for females). We found a small positive effect of HDI on health via education across reference HDI levels (branging from 0.24 to 0.29 for males and 0.40 to 0.49 for females) but not via pathways involving BMI only.ConclusionHuman development has a non-linear effect on individual health, but the impact appears to be mainly through pathways other than education and BMI.


2014 ◽  
Vol 25 (2) ◽  
pp. 519-524 ◽  
Author(s):  
K. Wada ◽  
C. Nagata ◽  
A. Tamakoshi ◽  
K. Matsuo ◽  
I. Oze ◽  
...  

2011 ◽  
Vol 21 (6) ◽  
pp. 417-430 ◽  
Author(s):  
Shizuka Sasazuki ◽  
Manami Inoue ◽  
Ichiro Tsuji ◽  
Yumi Sugawara ◽  
Akiko Tamakoshi ◽  
...  

Author(s):  
Marco Doretti ◽  
Martina Raggi ◽  
Elena Stanghellini

AbstractWith reference to causal mediation analysis, a parametric expression for natural direct and indirect effects is derived for the setting of a binary outcome with a binary mediator, both modelled via a logistic regression. The proposed effect decomposition operates on the odds ratio scale and does not require the outcome to be rare. It generalizes the existing ones, allowing for interactions between both the exposure and the mediator and the confounding covariates. The derived parametric formulae are flexible, in that they readily adapt to the two different natural effect decompositions defined in the mediation literature. In parallel with results derived under the rare outcome assumption, they also outline the relationship between the causal effects and the correspondent pathway-specific logistic regression parameters, isolating the controlled direct effect in the natural direct effect expressions. Formulae for standard errors, obtained via the delta method, are also given. An empirical application to data coming from a microfinance experiment performed in Bosnia and Herzegovina is illustrated.


2021 ◽  
pp. cebp.0222.2021
Author(s):  
Nina Afshar ◽  
S. Ghazaleh Dashti ◽  
Luc te Marvelde ◽  
Tony Blakely ◽  
Andrew Haydon ◽  
...  

PLoS ONE ◽  
2015 ◽  
Vol 10 (3) ◽  
pp. e0120706 ◽  
Author(s):  
Junga Lee ◽  
Jeffrey A. Meyerhardt ◽  
Edward Giovannucci ◽  
Justin Y. Jeon

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