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Record W2098492915 · doi:10.1136/bmjopen-2014-006141

Investigating the possible causal association of smoking with depression and anxiety using Mendelian randomisation meta-analysis: the CARTA consortium

2014· review· en· W2098492915 on OpenAlex
Amy E. Taylor, Meg Fluharty, Johan Hå‌kon Bjø‌rngaard, Maiken E. Gabrielsen, Frank Skorpen, Riccardo E. Marioni, Archie Campbell, Jorgen Engmann, Saira Saeed Mirza, Anu Loukola, Tiina Laatikainen, Timo Partonen, Marika Kaakinen, Francesca Ducci, Alana Cavadino, Lise Lotte N. Husemoen, Tarunveer S. Ahluwalia, Rikke Kart Jacobsen, Tea Skaaby, Jeanette Frost Ebstrup, Erik Lykke Mortensen, Camelia C. Minică, Jacqueline M. Vink, Gonneke Willemsen, Pedro Marques‐Vidal, Caroline Dale, Antoinette Amuzu, Lucy Lennon, Jari Lahti, Aarno Palotie, Katri Räikkönen, Andrew Wong, Lavinia Paternoster, Angelita Pui‐Yee Wong, L. John Horwood, Michael Murphy, Elaine Johnstone, Martin A. Kennedy, Zdenka Pausová, Tomáš Paus, Yoav Ben‐Shlomo, Ellen A. Nøhr, Diana Kuh, Mika Kivimäki, Johan G. Eriksson, Richard Morris, Juan P. Casas, Martin Preisig, Dorret I. Boomsma, Allan Linneberg, Chris Power, Elina Hyppönen, Juha Veijola, Marjo‐Riitta Järvelin, Tellervo Korhonen, Henning Tiemeier, Meena Kumari, David J. Porteous, Caroline Hayward, Pål Romundstad, George Davey Smith, Marcus R. Munafò

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueBMJ Open · 2014
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic Associations and Epidemiology
Canadian institutionsHospital for Sick ChildrenBaycrest HospitalUniversity of Toronto
FundersNational Heart, Lung, and Blood InstituteCanadian Institutes of Health ResearchAgency for Healthcare Research and QualityNational Institutes of HealthKoç ÜniversitesiUniversity of BristolH. Lundbeck A/SEgmont FondenNational Center for Advancing Translational SciencesEconomic and Social Research CouncilEmil Aaltosen SäätiöAugustinus FondenUnited Kingdom Clinical Research CollaborationOulun YliopistoNational Health and Medical Research CouncilMedical Research CouncilSigne ja Ane Gyllenbergin SäätiöNovo NordiskJuho Vainion SäätiöNational Institute of Diabetes and Digestive and Kidney DiseasesNorwegian Institute of Public HealthNederlandse Organisatie voor Wetenschappelijk OnderzoekSamfundet FolkhälsanAcademy of FinlandZonMwWellcome TrustCancer Research UKNational Institute of Mental HealthDanmarks GrundforskningsfondSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungHelsingin YliopistoEuropean CommissionFolkhälsanin TutkimussäätiöBiocenter, University of OuluNational Institute for Health and Care ResearchNational Research FoundationBritish Heart FoundationNational Institute on AgingErasmus Medisch CentrumErasmus Universiteit RotterdamVrije Universiteit AmsterdamUniversity of OxfordHealth and Safety ExecutiveNational Institute on Drug AbuseJohn D. and Catherine T. MacArthur FoundationEli Lilly and CompanyFinska LäkaresällskapetNorges Teknisk-Naturvitenskapelige UniversitetMarch of Dimes FoundationPfizerHeart and Stroke Foundation of CanadaNational Science Foundation
KeywordsMedicineDepression (economics)AnxietyMeta-analysisPsychiatryAssociation (psychology)Mendelian randomizationFamily medicineInternal medicineGenotypeGeneticsGenetic variantsPsychotherapist

Abstract

fetched live from OpenAlex

OBJECTIVES: To investigate whether associations of smoking with depression and anxiety are likely to be causal, using a Mendelian randomisation approach. DESIGN: Mendelian randomisation meta-analyses using a genetic variant (rs16969968/rs1051730) as a proxy for smoking heaviness, and observational meta-analyses of the associations of smoking status and smoking heaviness with depression, anxiety and psychological distress. PARTICIPANTS: Current, former and never smokers of European ancestry aged ≥16 years from 25 studies in the Consortium for Causal Analysis Research in Tobacco and Alcohol (CARTA). PRIMARY OUTCOME MEASURES: Binary definitions of depression, anxiety and psychological distress assessed by clinical interview, symptom scales or self-reported recall of clinician diagnosis. RESULTS: The analytic sample included up to 58 176 never smokers, 37 428 former smokers and 32 028 current smokers (total N=127 632). In observational analyses, current smokers had 1.85 times greater odds of depression (95% CI 1.65 to 2.07), 1.71 times greater odds of anxiety (95% CI 1.54 to 1.90) and 1.69 times greater odds of psychological distress (95% CI 1.56 to 1.83) than never smokers. Former smokers also had greater odds of depression, anxiety and psychological distress than never smokers. There was evidence for positive associations of smoking heaviness with depression, anxiety and psychological distress (ORs per cigarette per day: 1.03 (95% CI 1.02 to 1.04), 1.03 (95% CI 1.02 to 1.04) and 1.02 (95% CI 1.02 to 1.03) respectively). In Mendelian randomisation analyses, there was no strong evidence that the minor allele of rs16969968/rs1051730 was associated with depression (OR=1.00, 95% CI 0.95 to 1.05), anxiety (OR=1.02, 95% CI 0.97 to 1.07) or psychological distress (OR=1.02, 95% CI 0.98 to 1.06) in current smokers. Results were similar for former smokers. CONCLUSIONS: Findings from Mendelian randomisation analyses do not support a causal role of smoking heaviness in the development of depression and anxiety.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.295
Threshold uncertainty score0.453

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.144
GPT teacher head0.415
Teacher spread0.271 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it