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    Home > Active Ingredient News > Endocrine System > Diabetes Care: Not fast to lose weight-body shape determines your socio-economic status!

    Diabetes Care: Not fast to lose weight-body shape determines your socio-economic status!

    • Last Update: 2021-03-21
    • Source: Internet
    • Author: User
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    Studies have shown that people with high body mass index ( BMI) and type 2 diabetes (T2DM) tend to have poor labor market prospects, lower productivity, and higher absenteeism.
    These unfavorable factors may accumulate over time and affect income and social status, leading to changes in the personal living environment.

    Studies have shown that people with high body mass index ( high body mass index ( high body mass index ( BMI) and type 2 diabetes (T2DM) BMI) and type 2 diabetes (T2DM) diabetes tend to have poorer labor market prospects, lower productivity, and higher absenteeism.
    High.
    These unfavorable factors may accumulate over time and affect income and social status, leading to changes in personal living environment.
    Crowds tend to have poor labor market prospects, lower productivity, and higher absenteeism.
    Crowds tend to be in the labor market.
    Poor prospects, lower productivity, and higher absenteeism.

    However, it is very challenging to determine the causal effect of BMI or DM on socio-economic outcomes, mainly because of confounding and reverse causal factors that are difficult to measure.
    Recent studies have adopted the single-sample Mendelian randomization
    (MR) method of genetic characteristics , showing that BMI has an impact on socioeconomic status, while the impact of DM cannot be revealed.

    However, it is very challenging to determine the causal effect of BMI or DM on socio-economic outcomes, mainly because of confounding and reverse causal factors that are difficult to measure.
    Recent studies have adopted the single-sample Mendelian randomization
    (MR) method of genetic characteristics , showing that BMI has an impact on socioeconomic status, while the impact of DM cannot be revealed.

    To this end, experts in the field of diabetes from the University of Munich in Germany led the use of multivariate two-sample MR methods to estimate the causal effects of BMI and T2DM on family income and living environment.
    This method
    evaluates the common genetic components of BMI and T2DM to jointly estimate their contribution to these socioeconomic outcomes.
    The results were published in the latest "Diabetes Care
    " ( Diabetes Care ) magazine.

    To this end, experts in the field of diabetes from the University of Munich in Germany led the use of multivariate two-sample MR methods to estimate the causal effects of BMI and T2DM on family income and living environment.
    This method
    evaluates the common genetic components of BMI and T2DM to jointly estimate their contribution to these socioeconomic outcomes.
    The results were published in the latest "Diabetes Care
    " ( Diabetes Care ) magazine.

    The researchers conducted univariate and multivariate two-sample MR to jointly evaluate the impact of BMI and T2D on socioeconomic outcomes.
    The important SNPs of genome-wide overlap of BMI and T2D were used as instrumental variables.
    Using aggregate-level data from the UK Biobank, we assessed their causal impact on household income and regional poverty.

    The results showed that in univariate analysis, higher BMI was associated with lower income (1SD increase in BMI [β=-0.
    092; 95% CI -0.
    138~-0.
    047]) and higher poverty level (β=0.
    051) ; 95% CI 0.
    022~0.
    079).
    In multivariate MR, after controlling for DM, the impact of higher BMI on income and poverty is reduced.
    But DM has nothing to do with these results.

    Higher BMI is associated with lower income (1SD increase in BMI [β=-0.
    092; 95% CI -0.
    138~-0.
    047]) and higher poverty level (β=0.
    051; 95% CI 0.
    022~0.
    079).
    Higher BMI is associated with lower income (1SD increase in BMI [β=-0.
    092; 95% CI -0.
    138~-0.
    047]) and higher poverty level (β=0.
    051; 95% CI 0.
    022~0.
    079).

    The above results inversely corroborate the evidence of the harmful effects of BMI on income and living environment reported in previous observational and single-sample MR studies.
    Researchers believe that the main underlying mechanisms include high BMI reduced work ability, higher absenteeism, higher probability of musculoskeletal injury and more discrimination, which may lead to worse career prospects for this population and reduced labor market participation Degree and lower income.
    In turn, lower incomes will affect the standard of living, leading individuals to self-choose to poorer areas because housing and food choices are more affordable in these areas.

    The above results inversely corroborate the evidence of the harmful effects of BMI on income and living environment reported in previous observational and single-sample MR studies.
    The above results inversely corroborate the evidence of the harmful effects of BMI on income and living environment reported in previous observational and single-sample MR studies.

    In summary, the results of the study show that high BMI has a direct impact on income and living environment poverty, while the impact of T2DM on these two socioeconomic results has not been found.
    Therefore, obese people should be encouraged to lose weight, which will not only help their health, but also help improve their socio-economic status.

    High BMI has a direct impact on income and living environment poverty, while the impact of T2DM on these two socio-economic outcomes has not been found.
    Therefore, obese people should be encouraged to lose weight, which will not only help their health, but also help improve their socio-economic status.
    High BMI has a direct impact on income and living environment poverty, while the impact of T2DM on these two socio-economic outcomes has not been found.
    Therefore, obese people should be encouraged to lose weight, which will not only help their health, but also help improve their socio-economic status.

     

    references:

    diabetesjournals.
    org/content/44/3/850" target="_blank" rel="noopener">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.

    diabetesjournals.
    org/content/44/3/850" target="_blank" rel="noopener">The Effect of BMI and Type 2 Diabetes on Socioeconomic Status: A Two-Sample Multivariable Mendelian Randomization Study.

    https://doi.
    org/10.
    2337/dc20-1721



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