ArticleNutrients2017
Differences in Dietary Preferences, Personality and Mental Health in Australian Adults with and without Food Addiction.
Article in Nutrients, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
36 citing papers in PubMed, 1 synthesis or guideline pooled it, 94 citations in OpenAlex.
- Systematic Review of Food Addiction as Measured with the Yale Food Addiction Scale: Implications for the Food Addiction Construct.Current neuropharmacology · 2019Pooled it
- Trial
- Associations of trait anger and the anger expression and regulation dimensions with food addiction in the LIFE-adult study.Journal of eating disorders · 2026Article
- The Impact of Fear of Missing out (FoMO) on Addictive Eating: A Moderated Mediation Model.Nutrients · 2026Article
- Development and validation of a short form of the Yale Food Addiction Scale 2.0 in adolescents.Journal of eating disorders · 2026Article
- Clinical Relevance of Food Addiction in Higher Weight Patients across the Binge Eating Spectrum.Behavioral sciences (Basel, Switzerland) · 2024Article
- Co-occurrence of habit-forming risk behaviors and their socio-demographic, health status and lifestyle determinants: a population-based cross-sectional study.Archives of public health = Archives belges de sante publique · 2024Article
- Relationship Between BMI, Self-Rated Depression, and Food Addiction-A Cross-Sectional Study of Adults in Postpandemic Poland.Depression and anxiety · 2024Article
- Is Food Addiction a Specific Feature of Individuals Seeking Dietary Treatment from Nutritionists?Clinical neuropsychiatry · 2023Article
- Prevalence and correlates of addictive eating behaviours in a large cohort of Australian adolescents.The Australian and New Zealand journal of psychiatry · 2023Article
- Article
- Linking drug and food addiction: an overview of the shared neural circuits and behavioral phenotype.Frontiers in behavioral neuroscience · 2023Review
- Eating-to-Cope Motives and Uncontrolled Eating as Mediators Between Negative Emotional States and Food Addiction Among Argentinean Young Adults.International journal of mental health and addiction · 2022Article
- Article
- Compulsive-like eating of high-fat high-sugar food is associated with 'addiction-like' glutamatergic dysfunction in obesity prone rats.Addiction biology · 2022Article
- Article
- Designing an online intervention for adults with addictive eating: a qualitative integrated knowledge translation approach.BMJ open · 2022Article
- Food addiction in Bulimia Nervosa: Analysis of body composition, psychological and problematic foods profile.Frontiers in psychiatry · 2022Article
- Validation of the dimensional Yale Food Addiction Scale for Children 2.0 and estimation of the weighted food addiction score in a sample of adolescents from the general population.Eating and weight disorders : EWD · 2021Observational
- Food addiction and weight in students with high academic performance.Public health nutrition · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Increased obesity rates, an evolving food supply and the overconsumption of energy dense foods has led to an increase in research exploring addictive eating behaviours. This study aimed to investigate food addiction in a sample of Australian adults using the revised Yale Food Addiction Survey (YFAS) 2.0 tool and how it is associated with dietary intake, personality traits and mental health issues. Australian adults were invited to complete an online survey that collected information including: demographics, dietary intake, depression, anxiety, stress and personality dimensions including impulsivity, sensation seeking, hopelessness and anxiety sensitivity. A total of 1344 individuals were recruited with the samples comprising 75.7% female, mean age 39.8 ± 13.1 years (range 18-91 years) and body mass index BMI 27.7 ± 9.5. Food addiction was identified in 22.2% of participants using the YFAS 2.0 tool, which classified the severity of food addiction as "mild" in 0.7% of cases, "moderate" in 2.6% and "severe" in 18.9% of cases. Predictors of severe food addiction were female gender (odds ratio (OR) 3.65 95% CI 1.86-7.11) and higher levels of soft drink OR 1.36 (1.07-1.72), confectionary consumption and anxiety sensitivity 1.16 (1.07-1.26). Overall people with "severe" (OR 13.2, 5.8-29.8) or extremely severe depressive symptoms (OR 15.6, range 7.1-34.3) had the highest odds of having severe food addiction. The only variable that reduced the odds of having severe food addiction was vegetable intake. The current study highlights that addictive food behaviours are associated with a complex pattern of poor dietary choices and a clustering with mental health issues, particularly depression.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.