ArticleInternational journal of epidemiology2019
Using genetics to understand the causal influence of higher BMI on depression.
Article in International journal of epidemiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 119 papers, 7 of them syntheses that pooled it.
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Who cites it
119 citing papers in PubMed, 7 syntheses or guidelines pooled it.
- Mental health outcomes in obesity interventions with GLP-1 receptor agonists: is it similar to other obesity interventions? A narrative review with systematic evidence synthesis.International journal of obesity (2005) · 2026Pooled it
- A review of the 257 meta-analyses of the differences between females and males in prevalence and risk, protective factors, and treatment outcomes for mental disorder.BMC psychiatry · 2025Pooled it
- EPA guidance on lifestyle interventions for adults with severe mental illness: A meta-review of the evidence.European psychiatry : the journal of the Association of European Psychiatrists · 2024Pooled it
- Polygenicity of Comorbid Depression in Multiple Sclerosis.Neurology · 2023Pooled it
- Body mass index interacts with a genetic-risk score for depression increasing the risk of the disease in high-susceptibility individuals.Translational psychiatry · 2022Pooled it
- Mobile Apps for the Management of Comorbid Overweight/Obesity and Depression/Anxiety: A Systematic Review.Journal of healthcare engineering · 2020Pooled it
- Prevalence and correlates of major depressive disorder: a systematic review.Revista brasileira de psiquiatria (Sao Paulo, Brazil : 1999)Pooled it
- Mendelian randomization analysis of the causal relationship between allergic rhinitis and depression and underlying mediation mechanisms.The World Allergy Organization journal · 2026Article
- Genetic clusters of BMI reveal symptom-specific causal effects on depression.Molecular psychiatry · 2026Article
- Article
- METEOR: a data-adaptive Mendelian randomization method for powerful detection of shared and specific exposures underlying multiple outcomes.Briefings in bioinformatics · 2026Article
- Association Between Body Mass Index and Depression/Anxiety in an East Asian Population: A Mendelian Randomization Study.The Kaohsiung journal of medical sciences · 2026Article
- Causal inference in psychiatric research: how to critically evaluate and interpret mendelian randomization studies.Molecular psychiatry · 2026Review
- Effects of sarcopenic obesity on depressive symptoms and their trajectories: findings from the CHARLS 2011-2020.Social psychiatry and psychiatric epidemiology · 2026Article
- Beyond weight loss: Integrating GLP-1 RA therapies into psychological and behavioral care for obesity and binge eating disorder.Reviews in endocrine & metabolic disorders · 2026Review
- Combining polygenic risk scores to understand genetic liability to physical-mental health multimorbidity in UK Biobank.Human molecular genetics · 2026Article
- Depression and psychiatric help-seeking as joint outcomes: a Bayesian multilevel analysis of household-level dependence.Health and quality of life outcomes · 2026Article
- Association Between Visceral Adipose Tissue and Depression Risk With Both Observational and Genetic Evidence.Brain and behavior · 2026Article
- Linking Obesity and Depression Through the Gut-Brain Axis: The Impact of Short-Chain Fatty Acids and Inflammation.Nutrients · 2026Review
- Native Hawaiian and Pacific Islander Patients with Fibromyalgia: Insights into BMI, Pain, and Comorbidities in a Multiethnic Cohort.Research square · 2026Article
59 more citing papers are in PubMed but not listed here.
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19 authors.
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Abstract
backgroundDepression is more common in obese than non-obese individuals, especially in women, but the causal relationship between obesity and depression is complex and uncertain. Previous studies have used genetic variants associated with BMI to provide evidence that higher body mass index (BMI) causes depression, but have not tested whether this relationship is driven by the metabolic consequences of BMI nor for differences between men and women.
methodsWe performed a Mendelian randomization study using 48 791 individuals with depression and 291 995 controls in the UK Biobank, to test for causal effects of higher BMI on depression (defined using self-report and Hospital Episode data). We used two genetic instruments, both representing higher BMI, but one with and one without its adverse metabolic consequences, in an attempt to 'uncouple' the psychological component of obesity from the metabolic consequences. We further tested causal relationships in men and women separately, and using subsets of BMI variants from known physiological pathways.
resultsHigher BMI was strongly associated with higher odds of depression, especially in women. Mendelian randomization provided evidence that higher BMI partly causes depression. Using a 73-variant BMI genetic risk score, a genetically determined one standard deviation (1 SD) higher BMI (4.9 kg/m2) was associated with higher odds of depression in all individuals [odds ratio (OR): 1.18, 95% confidence interval (CI): 1.09, 1.28, P = 0.00007) and women only (OR: 1.24, 95% CI: 1.11, 1.39, P = 0.0001). Meta-analysis with 45 591 depression cases and 97 647 controls from the Psychiatric Genomics Consortium (PGC) strengthened the statistical confidence of the findings in all individuals. Similar effect size estimates were obtained using different Mendelian randomization methods, although not all reached P < 0.05. Using a metabolically favourable adiposity genetic risk score, and meta-analysing data from the UK biobank and PGC, a genetically determined 1 SD higher BMI (4.9 kg/m2) was associated with higher odds of depression in all individuals (OR: 1.26, 95% CI: 1.06, 1.50], P = 0.010), but with weaker statistical confidence.
conclusionsHigher BMI, with and without its adverse metabolic consequences, is likely to have a causal role in determining the likelihood of an individual developing depression.
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