Evidence map›Paper›PMID 36464093›Full record

ArticleJournal of affective disorders2023

Relationship between pet ownership and risk of high depressive symptoms in adolescence and young adulthood.

Magdalena Żebrowska, Susanne Strohmaier, Carri Westgarth, Curtis Huttenhower, Astrid C Erber, Shahab Haghayegh, A Heather Eliassen, Tianyi Huang, Francine Laden, Jaime E Hart and 5 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of affective disorders, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.5field-weighted citation impact, top 16% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 9 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 6 institutions in 3 countries.

Magdalena ŻebrowskaDepartment of Epidemiology, Center for Public Health, Medical University of Vienna, Vienna, Austria.
Susanne StrohmaierDepartment of Epidemiology, Center for Public Health, Medical University of Vienna, Vienna, Austria.
Carri WestgarthDepartment of Livestock and One Health, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK.
Curtis HuttenhowerDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Astrid C ErberDepartment of Epidemiology, Center for Public Health, Medical University of Vienna, Vienna, Austria; Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
Shahab HaghayeghChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
A Heather EliassenChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Tianyi HuangChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Francine LadenChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Jaime E HartChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Bernard RosnerDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Ichiro KawachiChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Jorge E ChavarroChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Olivia I OkerekeChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.
Eva S SchernhammerDepartment of Epidemiology, Center for Public Health, Medical University of Vienna, Vienna, Austria; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA. Electronic address: nhess@channing.harvard.edu.
Brigham and Women's Hospital · USHarvard University · USMedical University of Vienna · ATMassachusetts General Hospital · USUniversity of Liverpool · GBUniversity of Oxford · GB

Funding

Translational Research Support CoreP30ES000002 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI JAIME ELIZABETH HART · 1985 to 2026
$44.6M
Life Course Cancer Epidemiology Cohort in WomenU01CA176726 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI ELIASSEN, A. HEATHER, WILLETT, WALTER C. · 2018 to 2025
$22.4M
Integrating lifecourse approaches, biologic and digital phenotypes in support of heart and lung disease epidemiologic researchU01HL145386 · NHLBI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI CHAVARRO, JORGE EDUARDO, MANSON, JOANN ELISABETH · 2019 to 2025
$17.8M
Mechanistic pathways of the effects of human-animal interaction on depression and psychosocial stressR01HD101101 · NICHD · BRIGHAM AND WOMEN'S HOSPITAL · PI SCHERNHAMMER, EVA S · 2020 to 2025
$3.6M
NCI NIH HHS U01 CA176726NHLBI NIH HHS U01 HL145386NICHD NIH HHS R01 HD101101NIEHS NIH HHS P30 ES000002
6 · The paper itself

Abstract

backgroundOnly few longitudinal studies with high risk of bias have examined relationship between pets and adolescents' mental health.

methodsOur prospective cohort study followed depression-free US adolescents aged 12-18, enrolled in the Growing Up Today Study from pet ownership assessment in 1999 to possible occurrence of high depressive symptoms defined based on the McKnight Risk Factor Survey between 2001 and 2003. Propensity-score-adjusted odds ratios (ORs) and 95 % confidence intervals (CIs) were estimated using generalized estimating equation models.

resultsAmong 9631 adolescents [42.4 % male, mean age 14.9 years (SD 1.6)], we found no association between pet ownership and risk of high depressive symptoms (OR LIMITATIONS: Our sample is predominantly white and all are offspring of nurses with a similar academic background which could affect generalizability.

conclusionsOverall, we found no association between pet ownership and depression during adolescence, however subgroup analyses indicated some individuals may benefit from a pet. Future longitudinal studies with more detailed exposure assessments, including pet attachment are needed to further explore the potential of human-animal interaction on mental health.

Indexed as

DepressionOwnershipAdolescentAdultAnimalsChildFemaleHumansLongitudinal StudiesMaleMothersProspective StudiesYoung AdultAdolescentsDepressionHAIHuman-animal interactionPets

Identifiers

PMID36464093
PMCPMC9839520
OpenAlexW4310704255

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.