Sex Differences in Effects of Mood, Eating-Related Behaviors, and BMI on Food Appeal and Desire to Eat: A Cross-Sectional Survey Study.
Kristina T LeggetMarc-Andre CornierLauren SarabiaEve M DelaoSusan K Mikulich-GilbertsonCrystal NatvigChristina ErpeldingTessa MitchellAllison HildEugene KronbergJason R TregellasPublished in: Nutrients (2023)
Although sex differences in food intake have been observed consistently, contributing factors are not well understood. Using a cross-sectional online survey ( n = 306; 151 men, 155 women), this study aimed to assess how sex impacts relationships between food ratings (appeal/desire to eat for high-calorie (HC) and low-calorie (LC) food images) and eating-related attitudes/behaviors, body mass index (BMI), and mood. Across participants, increased state- and trait-based hunger, disinhibition, and cravings were associated with both increased HC appeal and desire ( p < 0.001). Increased state-based hunger and cravings were associated with greater LC desire ( p < 0.001). Greater satiety was associated with decreased desire for both HC and LC ( p < 0.001), while greater anxiety was associated with increased desire for both HC and LC ( p < 0.001). Significant associations between BMI and food ratings were not observed. Women reported greater dietary restraint, trait-based hunger, disinhibition, eating disorder-related behaviors, depression, and stress compared to men, in addition to greater appeal and familiarity with LC foods (all p < 0.05). Significant effects of sex on the associations between food ratings and eating-related attitudes/behaviors, BMI, and mood were not observed, however. Findings support the importance of considering mood and eating-related attitudes/behaviors in investigations of food cue responsivity.
Keyphrases
- body mass index
- weight loss
- physical activity
- sleep quality
- bipolar disorder
- simultaneous determination
- weight gain
- human health
- mass spectrometry
- mental health
- healthcare
- polycystic ovary syndrome
- machine learning
- social media
- gene expression
- metabolic syndrome
- cross sectional
- genome wide
- drug induced
- deep learning
- stress induced
- convolutional neural network
- insulin resistance
- health information
- solid phase extraction
- high resolution mass spectrometry