Appetitive traits and their associations with metabolic health outcomes among adults living with prediabetes: Results from a cross-sectional study

食欲特征及其与糖尿病前期成年人代谢健康结果的关系:一项横断面研究的结果

阅读:2

Abstract

Appetitive traits influence eating behaviours and energy balance, potentially affecting obesity and type 2 diabetes (T2D) risk. However, evidence is limited on how these traits relate to metabolic outcomes, including body mass index (BMI), waist circumference (WC), and hemoglobin A1c (HbA1c), which are key risk factors for T2D. This study aimed to (1) characterize appetitive traits (Food Responsiveness, Emotional Overeating, and Slowness in Eating) in female and male adults living with prediabetes and (2) examine their associations with metabolic outcomes. Adults with prediabetes were enrolled in this cross-sectional analysis. Appetitive traits were assessed using the Adult Eating Behaviour Questionnaire. Metabolic outcomes included measured BMI, WC, and HbA1c. Associations between appetitive traits and metabolic outcomes were assessed using Spearman rank correlation coefficients (rs), stratified by sex. A total of 115 adults were included (mean age: 61.8 ± 10.9 years; 64.3% female). Females had mean BMI of 31.61 ± 6.33 kg/m², WC of 100.58 ± 13.92 cm, and HbA1c of 5.83 ± 0.25%; males had mean BMI of 32.29 ± 5.70 kg/m², WC of 112.51 ± 14.62 cm, and HbA1c of 6.00 ± 0.28%. Food Responsiveness positively correlated with BMI (rs = 0.414, p < 0.001) and WC (rs = 0.459, p < 0.001) only in females. In males, Emotional Overeating positively correlated with HbA1c (rs = 0.449, p = 0.003), while Slowness in Eating negatively correlated with HbA1c (rs = -0.325, p = 0.038). Appetitive traits were moderately and significantly associated with metabolic outcomes, with associations differing by sex. Identifying sex-specific mechanisms may inform interventions targeting appetitive traits to improve metabolic health in adults with prediabetes.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。