The interesting paper by Al-Harrasi et al
1
appears to be yet another paper on risk factors for diabetes. The conclusions drawn
are not unexpected. The method used in examining them, structural equation modeling
(SEM) however, is not (yet) frequently used in diabetes research. Two things are striking
about these risk factors – firstly, there are a lot of them; secondly, they are not
all independent.- Al-Harrasi A
- Pinto AD
- Jayapal SK
- et al.
Structural equation modelling to identify the direct and indirect risk factors of
diabetes in adults: Findings from a national survey.
Am J Med Sci. 2022; https://doi.org/10.1016/j.amjms.2022.03.003
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References
- Structural equation modelling to identify the direct and indirect risk factors of diabetes in adults: Findings from a national survey.Am J Med Sci. 2022; https://doi.org/10.1016/j.amjms.2022.03.003
- Causal relationships between NAFLD, T2D and obesity have implications for disease subphenotyping.J Hepatol. 2020; 73: 263-276
- Clinical value of adiponectin in combination with FGF-21 and A-FABP in early clinical diagnosis and risk prediction for type 2 diabetes.Pract Comb Tradit Chin West Med. 2017; 17: 98-99
- Modeling metabolic syndrome through structural equations of metabolic traits, comorbid diseases, and GWAS variants.Obesity. 2013; 21: E745-E754https://doi.org/10.1002/oby.20445
- Associations among health behaviors, body mass index, hypertension, and diabetes mellitus. A path analysis.Medicine. 2018; 97 (e10981): 22https://doi.org/10.1097/MD.0000000000010981
- Towards a parsimonious pathway model of modifiable and mediating risk factors leading to diabetes risk.Int. J. Environ. Res. Public Health. 2021; 18: 10907https://doi.org/10.3390/ijerph182010907
- Using structural equation modeling to untangle pathways of risk factors associated with incident Type 2 diabetes: the lifelines cohort study.Prevention Science. 2022; https://doi.org/10.1007/s11121-022-01357-5
- Structural equation modeling to identify the risk factors of diabetes in the adult population of North India.Trop Med Health. 2018; 46: 23https://doi.org/10.1186/s41182-018-0104-y
- Stress increases the risk of type 2 diabetes onset in women: A 12-year longitudinal study using causal modelling.PLoS ONE. 2017; 2e0172126https://doi.org/10.1371/journal.pone.0172126
Article info
Publication history
Published online: May 10, 2022
Accepted:
May 4,
2022
Received:
April 18,
2022
Identification
Copyright
© 2022 Southern Society for Clinical Investigation. Published by Elsevier Inc. All rights reserved.
