4.7 Article

Mediation and modification of genetic susceptibility to obesity by eating behaviors

期刊

AMERICAN JOURNAL OF CLINICAL NUTRITION
卷 106, 期 4, 页码 996-1004

出版社

AMER SOC NUTRITION-ASN
DOI: 10.3945/ajcn.117.157396

关键词

eating behavior; genetic risk score; genetics; obesity; BMI; body mass index; dieting

资金

  1. Medical Research Council (MRC) [MC_U106179471]
  2. MRC [MC_UU_12015/2, MC_UU_12015/1, MC_PC_13046]
  3. Foundation for Medical Research (FRM)
  4. French Ministry of Research
  5. French National Institute of Health and Medical Research
  6. French Ministry of Health
  7. French Agency for Environment Security (AFSSET)
  8. French National Institute for Population Health Surveillance (InVS)
  9. Paris-Sud University
  10. French National Institute for Health Education (INPES)
  11. Nestle
  12. Mutuelle Generale de l'Education Nationale (MGEN)
  13. Francophone Association for the Study of Diabetes and Metabolism (ALFEDIAM)
  14. National Agency for Research (ANR)
  15. National Institute for Research in Public Health (IRESP: TGIR)
  16. Diabetes National Research Program
  17. French Association of Diabetic Patients (AFD)
  18. Medical Research Council [MC_UU_12015/4, MC_UU_12015/2, MC_UU_12015/1, MC_UU_12015/5, MC_UU_12015/3, MC_PC_13046, MC_PC_13048, MC_U106179473, 1509953] Funding Source: researchfish
  19. National Institute for Health Research [NF-SI-0512-10135] Funding Source: researchfish
  20. MRC [MC_U106179473, MC_UU_12015/5, MC_UU_12015/3, MC_UU_12015/1, MC_UU_12015/4, MC_UU_12015/2] Funding Source: UKRI

向作者/读者索取更多资源

Background: Many genetic variants show highly robust associations with body mass index (BMI). However, the mechanisms through which genetic susceptibility to obesity operates are not well understood. Potentially modifiable mechanisms, including eating behaviors, are of particular interest to public health. Objective: Here we explore whether eating behaviors mediate or modify genetic susceptibility to obesity. Design: Genetic risk scores for BMI (BMI-GRSs) were calculated for 3515 and 2154 adults in the Fenland and EDEN (Etude des determinants pre et postnatals de la sante et du developpement de l'enfant) population-based cohort studies, respectively. The eating behaviors-emotional eating, uncontrolled eating, and cognitive restraint-were measured through the use of a validated questionnaire. The mediating effect of each eating behavior on the association between the BMI-GRS and measured BMI was assessed by using the Sobel test. In addition, we tested for interactions between each eating behavior and the BMI-GRS on BMI. Results: The association between the BMI-GRS and BMI was mediated by both emotional eating (EDEN: P-Sobel = 0.01; Fenland: P-Sobel = 0.02) and uncontrolled eating (EDEN: P-Sobel = 0.04; Fenland: P-Sobel = 0.0006) in both sexes combined. Cognitive restraint did not mediate this association (P-Sobel > 0.10), except among EDEN women (P-Sobel = 0.0009). Cognitive restraint modified the relation between the BMI-GRS and BMI among men (EDEN: P-interaction = 0.0001; Fenland: P-interaction = 0.04) and Fenland women (P-interaction = 0.0004). By tertiles of cognitive restraint, the association between the BMI-GRS and BMI was strongest in the lowest tertile of cognitive restraint, and weakest in the highest tertile. Conclusions: Genetic susceptibility to obesity was partially mediated by the appetitive eating behavior traits (uncontrolled and emotional eating) and, in 3 of the 4 population groups studied, was modified by cognitive restraint. High levels of cognitive control over eating appear to attenuate the genetic susceptibility to obesity. Future research into interventions designed to support restraint may help to protect genetically susceptible individuals from weight gain.

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