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Dietary Intake and Body Mass Index Influence the Risk of Islet Autoimmunity in Genetically At-Risk Children: A Mediation Analysis Using the TEDDY Cohort

Aronsson Carin Andren; Tamura Roy; Vehik Kendra; Uusitalo Ulla; Yang Jimin; Haller Michael J.; Toppari Jorma; Hagopian William; McIndoe Richard A.; Rewers Marian J.; Ziegler Anette-G.; Akolkar Beena; Krischer Jefrey P.; Norris Jill M.; Virtanen Suvi M.; Larsson Helena Elding

Dietary Intake and Body Mass Index Influence the Risk of Islet Autoimmunity in Genetically At-Risk Children: A Mediation Analysis Using the TEDDY Cohort

Aronsson Carin Andren
Tamura Roy
Vehik Kendra
Uusitalo Ulla
Yang Jimin
Haller Michael J.
Toppari Jorma
Hagopian William
McIndoe Richard A.
Rewers Marian J.
Ziegler Anette-G.
Akolkar Beena
Krischer Jefrey P.
Norris Jill M.
Virtanen Suvi M.
Larsson Helena Elding
Katso/Avaa
3945064.pdf (419.0Kb)
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WILEY-HINDAWI
doi:10.1155/2023/3945064
URI
http://dx.doi.org/10.1155%2F2023%2F3945064
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Julkaisun pysyvä osoite on:
https://urn.fi/URN:NBN:fi-fe2023032833387
Tiivistelmä

Background/Objective. Growth and obesity have been associated with increased risk of islet autoimmunity (IA) and progression to type 1 diabetes. We aimed to estimate the effect of energy-yielding macronutrient intake on the development of IA through BMI.

Research Design and Methods. Genetically at-risk children (n = 5,084) in Finland, Germany, Sweden, and the USA, who were autoantibody negative at 2 years of age, were followed to the age of 8 years, with anthropometric measurements and 3-day food records collected biannually. Of these, 495 (9.7%) children developed IA. Mediation analysis for time-varying covariates (BMI z-score) and exposure (energy intake) was conducted. Cox proportional hazard method was used in sensitivity analysis.

Results. We found an indirect effect of total energy intake (estimates: indirect effect 0.13 [0.05, 0.21]) and energy from protein (estimates: indirect effect 0.06 [0.02, 0.11]), fat (estimates: indirect effect 0.03 [0.01, 0.05]), and carbohydrates (estimates: indirect effect 0.02 [0.00, 0.04]) (kcal/day) on the development of IA. A direct effect was found for protein, expressed both as kcal/day (estimates: direct effect 1.09 [0.35, 1.56]) and energy percentage (estimates: direct effect 72.8 [3.0, 98.0]) and the development of GAD autoantibodies (GADA). In the sensitivity analysis, energy from protein (kcal/day) was associated with increased risk for GADA, hazard ratio 1.24 (95% CI: 1.09, 1.53), p=0.042.

Conclusions. This study confirms that higher total energy intake is associated with higher BMI, which leads to higher risk of the development of IA. A diet with larger proportion of energy from protein has a direct effect on the development of GADA.

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