Stability and longitudinal association between Body Mass Index and maladaptive eating behaviors in older adults: Results from the NutriAct Family Study (NFS).

Eat Behav

NutriAct - Competence Cluster Nutrition Research Berlin-Potsdam, Germany; University of Potsdam, Department of Psychology, Counseling Psychology, Karl-Liebknecht-Str. 24-25, 14476 Potsdam, Germany; Justus-Liebig-Universität Gießen, Senckenbergstraße 3, 35390 Gießen, Germany. Electronic address:

Published: August 2023

AI Article Synopsis

  • Older adults are increasingly facing issues with overweight and obesity, making them a crucial group for healthy weight promotion efforts, yet research on their eating behaviors is limited.
  • In a study involving 964 older adults, researchers explored the relationship between BMI and maladaptive eating behaviors over time, using self-reported data and established questionnaires.
  • Findings showed a cross-sectional link between higher BMI and certain maladaptive eating habits, but no significant long-term interactions were identified, suggesting that these eating behaviors may be more stable and rooted compared to those in younger populations.

Article Abstract

Purpose: Due to the increasing prevalence of overweight and obesity with age and associated health risks, older adults are an important target group to promote healthy weight. Evidence indicates that maladaptive eating behaviors are associated with higher BMI. However, older adults are often neglected in this research field. This prospective study aims to clarify the temporal relationship between BMI and maladaptive eating behaviors among older adults.

Methods: In total, 964 participants of the NutriAct Family Study (M = 63.34 years) completed web-based questionnaires two times (M = 3.33 years apart). BMI was assessed via self-reported height and weight, and maladaptive eating behaviors with the Dutch Eating Behavior Questionnaire (DEBQ). The stability and longitudinal associations were analyzed using cross-lagged models.

Results: Cross-sectional analysis showed positive correlations between BMI and emotional (r = 0.218), external (r = 0.101), as well as restrictive eating (r = 0.160). All maladaptive eating behaviors (β > 0.684) and BMI (β > 0.922) were longitudinally stable. No significant bidirectional relationships were found between BMI and maladaptive eating behaviors over time, except for BMI predicting restrictive eating (β = 0.133).

Conclusion: The observed cross-sectional, but not longitudinal associations between BMI and maladaptive eating behaviors underline the need for prospective study designs to deepen the understanding of the role of maladaptive eating behaviors in weight management among the general population. Maladaptive eating behaviors among older adults may have already consolidated and play a smaller role in explaining weight course, compared to early life like childhood.

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Source
http://dx.doi.org/10.1016/j.eatbeh.2023.101778DOI Listing

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