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High BMI and type 2 diabetes (T2D) are associated with poor labour market prospects, lower productivity and higher job absenteeism.
these disadvantages may accumulate over time, affecting income and the living environment.
, however, determining the causal relationship between BMI or diabetes is challenging for socioeconomic outcomes, mainly due to the inherent problems of untable mixing and reverse causation.
early approaches focused on the use of tool variables (IV), such as the disease status of biological parents.
recent study used genetic traits in a single-sample Mendel randomization (MR) method and showed the socioemenic effects of BMI, while the effects of diabetes have not yet been revealed.
Based on these issues, studies have used multivariable two-sample MR methods to estimate the causal effects of BMI and T2D on household income and regional poverty, taking into account the common genetic components of BMI and diabetes, in order to jointly assess their impact on socio-economic outcomes.
findings were published recently in the journal Diabetes Care.
researchers used the overlapping genome-wide significant single nucleotide polymorphisms of BMI and T2D as tool variables.
they assessed the causal impact of household income and regional poverty through the UK Biosatric Library's general-level data.
study included publicly available summary-level data from the GGWAS database of the UK's biological sample bank, including 464,708 individuals of European descent.
, the researchers conducted a single-variable MR analysis to examine the single effects of BMI and diabetes on prognosm.
, the two-sample multivarivation MR analysis of the effects of BMI and diabetes on prognosmation was estimated using overlapping SNP sets as tools.
results show that in a single-variable analysis, higher BMI is related to lower income β (marginal effect of an increase in BMI by 1-SD; 95% CI 0.138; 0.047) and higher deprivation (β x 0.051; 95% CI 0.022; 0.079).
in multivariable MR, the effect of BMI in controlling diabetes was slightly lower in terms of income and poverty.
diabetes was not associated with these results.
MR studies the effects of BMI and diabetes on household income and regional poverty add to the evidence of BMI's impact on income and regional deprivation, with potential mechanisms including high BMI associated with lower working ability, higher absenteeism, higher probability of musculoskeletal injury and higher discrimination, which can lead to poor job prospects, reduced labour market participation and lower income.
income, in turn, can affect living standards, leading individuals to choose their own access to poorer areas as a means of obtaining housing and food options.
similar to previous single-sample MR studies, this result does not show any significant effect of T2D on household income or regional poverty.
, current studies confirm the effects of high BMI on income and regional poverty, and thus relatively control the progression of diabetes.
, however, did not confirm the impact of T2D on both socio-economic outcomes.
may help improve understanding of potential mechanisms and create targeted strategies to break the negative link between BMI and socioeconomic outcomes.
: Sara Pedron, Christoph F. Kurz, Lars Schwettmann and Michael Laxy. The Effect of BMI and Type 2 Diabetes on Socioeconomic Status: A Two-Sample Multivariable Mendelian Randomization Study. Diabetes Care 2021 Mar; 44 (3): 850-852.MedSci Original Source: MedSci Original Copyright Notice: All text, images and audio and video materials on this website that indicate "Source: Mets Medicine" or "Source: MedSci Originals" are owned by Mets Medicine and are not authorized to reproduce, and any media, website or individual authorized to reproduce them must indicate "Source: Mays Medicine".
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