Evidence map›Paper›PMID 39088217›Full record

ArticleJAMA network open2024

Pet Attachment and Anxiety and Depression in Middle-Aged and Older Women.

Magdalena Zebrowska, Susanne Strohmaier, Curtis Huttenhower, A Heather Eliassen, Oana A Zeleznik, Carri Westgarth, Tianyi Huang, Francine Laden, Jaime E Hart, Bernard Rosner and 4 more

Abstract read
In one paragraph

Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

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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

14 authors.

Magdalena ZebrowskaChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
Susanne StrohmaierDepartment of Epidemiology, Center for Public Health, Medical University of Vienna, Vienna, Austria.
Curtis HuttenhowerDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
A Heather EliassenChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
Oana A ZeleznikChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
Carri WestgarthDepartment of Livestock and One Health, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, United Kingdom.
Tianyi HuangChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
Francine LadenChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
Jaime E HartChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
Bernard RosnerChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
Ichiro KawachiDepartment of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Jorge E ChavarroChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
Olivia I OkerekeChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
Eva S SchernhammerChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.

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

Importance: Understanding how attachment to pets can alleviate depression and anxiety offers valuable insights for developing preventive and therapeutic strategies, particularly for those with insecure attachment styles from childhood trauma. Objective: To determine if a close bond with a pet is associated with reduced depression and anxiety, especially among women who experienced childhood abuse. Design, Setting, and Participants: This cross-sectional study involved women who voluntarily enrolled in the Mind Body Study (MBS), a substudy of the Nurses' Health Study II (NHS2) focusing on psychosocial factors. Women reporting childhood abuse were oversampled to capture their psychosocial distress in adulthood. MBS participants were invited to complete comprehensive online questionnaires, which were administered twice (March 2013 and February 2014). Exposure: Pet attachment measured by Lexington Attachment to Pets Scale (LAPS). Main Outcomes and Measures: Levels of depression and anxiety (10-item Centre for Epidemiologic Studies Depression Scale [CESD-10]; Kessler Psychological Distress Scale [K6]; 7-item Generalized Anxiety Disorder scale [GAD-7]; Crown Crisp Experiential Index phobic anxiety subscale [CCI]), considered individually and combined into an overall z-score measure of anxiety and depression symptoms. Results: A total of 214 women (mean [SD] age, 60.8 [3.9] years) were included; 156 women (72.6%) reported a history of childhood abuse. Of 688 invited MBS participants in 2013, 293 (42.6%) expressed interest; there were 228 completed questionnaires (response rate, 77.8%) in 2013 and 208 questionnaires (response rate, 71.0%) in 2014. LAPS scores were provided by 140 participants (65.4%), 78 (55.7%) for dogs and 46 (32.9%) for cats. Overall higher pet attachment on the LAPS score was significantly associated with lower GAD-7 scores (β = -0.17; 95% CI, -0.29 to -0.06), but there was no association for phobic anxiety or depression. There were no statistically significant associations between cat attachment and depression or anxiety. Higher dog attachment was associated with significantly lower scores in depression (CESD-10: β, -0.47; 95% CI, -0.68 to -0.26; K6: β = -0.42; 95% CI, -0.54 to -0.31), generalized anxiety (GAD-7: β = -0.47; 95% CI, -0.65 to -0.3), and the overall measure of anxiety and depression (z score: β = -0.12; 95% CI, -0.17 to -0.08), but there was no association between dog attachment and phobic anxiety (CCI: β = -0.08; 95% CI, -0.24 to 0.09). All effect sizes for associations were higher when analyses were restricted to women with a history of childhood abuse. Conclusions and relevance: In this explorative cross-sectional study, strong attachment to pets, especially dogs, was associated with lower anxiety and depression symptoms. The favorable association was particularly apparent in women with a history of childhood abuse.

Indexed as

AnxietyDepressionPetsAdultAgedAnimalsCross-Sectional StudiesFemaleHuman-Animal BondHumansMiddle AgedObject AttachmentSurveys and Questionnaires

Identifiers

PMID39088217
PMCPMC11294964

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.