Evidence map›Paper›PMID 17222915›Full record

ArticleJournal of affective disorders2007

Mood-worsening with high-pollen-counts and seasonality: a preliminary report.

Alvaro Guzman, Leonardo H Tonelli, Darryl Roberts, John W Stiller, Michael A Jackson, Joseph J Soriano, Samina Yousufi, Kelly J Rohan, Hirsh Komarow, Teodor T Postolache

Open access · greenAbstract read
In one paragraph

Article in Journal of affective disorders, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.3field-weighted citation impact, top 24% 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

17 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
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  6. A medicolegal study of domestic violence in south region of Jordan.Egyptian journal of forensic sciences · 2017
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  12. Allergy: a risk factor for suicide?Current treatment options in neurology · 2008
    Article
  13. Article
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  15. Acute Stress Promotes Aggressive-Like Behavior in Rats Made Allergic to Tree Pollen.International journal of child health and human development : IJCHD · 2008
    Article
  16. Asthma and Mood Disorders.International journal of child health and human development : IJCHD · 2008
    Article
  17. Article
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

10 authors at 4 institutions in 1 country.

Alvaro GuzmanMood and Anxiety Program, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA. aguzman@psych.umaryland.edu
Leonardo H Tonelli
Darryl Roberts
John W Stiller
Michael A Jackson
Joseph J Soriano
Samina Yousufi
Kelly J Rohan
Hirsh Komarow
Teodor T Postolache
University of Maryland, Baltimore · USSt. Elizabeths Hospital · USNational Institutes of Health · USUniversity of Vermont · US

Funding

Maryland's Organized Research Effort in Women's Health (MORE-WH)K12HD043489 · NICHD · UNIVERSITY OF MARYLAND BALTIMORE · PI TRACY, J. KATHLEEN · 2002 to 2016
$7.0M
Clinical and Immunological Evaluation of Children with Allergic DiseaseZ01AI000951 · NIAID · NIAID EXTRAMURAL ACTIVITIES · PI METCALFE, DEAN D · 2005 to 2008
$772k
Mood Worsening in Spring in Women with Depression and Tree-Pollen AllergyR21MH075891 · NIMH · UNIVERSITY OF MARYLAND BALTIMORE · PI POSTOLACHE, TEODOR T · 2006 to 2007
$363k
Intranasal immune challenge, brain cytokines and gender differences in depressionR21MH075905 · NIMH · UNIVERSITY OF MARYLAND BALTIMORE · PI TONELLI, LEONARDO H · 2006 to 2007
$363k
Intramural NIH HHSNICHD NIH HHS K12 HD043489NICHD NIH HHS K12 HD43489NIMH NIH HHS R21 MH075891NIMH NIH HHS R21 MH075905
6 · The paper itself

Abstract

backgroundBecause aeroallergens produce inflammation in the respiratory airways, and inflammation triggers depression in vulnerable individuals, we hypothesized that mood sensitivity to pollen, the most seasonal aeroallergen, will be associated with a greater seasonality of mood. Since pollen is absent during winter, we specifically predicted that mood sensitivity to tree pollen will predict non-winter SAD but not winter SAD.

methodsA convenience sample of African and African American college students who lived in the Washington DC metropolitan area for at least the past 3 years completed the Seasonal Pattern Assessment Questionnaire (SPAQ), from which the Global Seasonality Score (GSS) was calculated, a diagnosis of cumulative SAD (syndromal or subsyndromal SAD) was derived, a seasonal pattern (winter vs non-winter) identified, and self-reported mood changes during high pollen counts obtained. A Mann-Whitney test was used to compare GSS between participants with vs without mood worsening during high pollen counts. The capability of mood worsening with high pollen counts, gender, ethnicity, and age to predict non-winter SAD was analyzed with logistic regressions.

resultsGSS was greater (z=5.232, p<0.001) in those who reported mood worsening with high pollen counts. Mood sensitivity to pollen predicted non-winter SAD (p=0.017), but not winter SAD. LIMITATIONS: The SPAQ is not a definitive tool to assess seasonality, and self-reported mood worsening with high pollen counts relies on recollection. No direct measures of depression scores or pollen counts were collected. The non-winter SAD concept has not been previously established.

conclusionsOur study, which should be considered preliminary in light of its limitations, suggests that self-reported mood-worsening with high pollen count is associated with a greater seasonality of mood, and predicts SAD of non-winter type.

Indexed as

PollenSeasonsAdolescentAdultAgedComorbidityDistrict of ColumbiaFemaleHealth SurveysHumansMaleMiddle AgedPersonality InventoryRhinitis, Allergic, SeasonalRisk FactorsSeasonal Affective Disorder

Identifiers

PMID17222915
PMCPMC1949487
OpenAlexW2079320590

What OpenQuestion holds

Textmetadata
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.