Evidence map›Paper›PMID 33871315›Full record

ArticleInternational journal of circumpolar health2021

Seasonal affective disorder and engagement in physical activities among adults in Alaska.

Elaine M Drew, Bridget L Hanson, Kevin Huo

Open access · goldAbstract read
In one paragraph

Article in International journal of circumpolar health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

3 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

3 authors at 2 institutions in 1 country.

Elaine M DrewDepartment of Anthropology, University of Alaska Fairbanks, Fairbanks, AK, USA.ORCID 0000-0002-6067-3050
Bridget L HansonInstitute of Social and Economic Research, University of Alaska Anchorage, Anchorage, AK, USA.
Kevin HuoDepartment of Anthropology, University of Alaska Fairbanks, Fairbanks, AK, USA.
University of Alaska Fairbanks · USUniversity of Alaska Anchorage · US

Funding

Biomedical Learning and Student Training (BLaST) ProgramUL1GM118991 · NIGMS · UNIVERSITY OF ALASKA FAIRBANKS · PI HUEFFER, KARSTEN · 2015 to 2023
$19.0M
Biomedical Learning and Student Training (BLaST) ProgramRL5GM118990 · NIGMS · UNIVERSITY OF ALASKA FAIRBANKS · PI HUEFFER, KARSTEN, REYNOLDS, ARLEIGH JAMES · 2015 to 2023
$10.5M
NIGMS NIH HHS RL5 GM118990NIGMS NIH HHS UL1 GM118991
6 · The paper itself

Abstract

Seasonal affective disorder (SAD) is a type of depression in which symptoms occur during a particular season. While physical activity has been shown to improve symptoms for depression in general populations, the relationships between physical activity and experiences of seasonality and SAD remain underexplored. We conducted a survey with adult members of a recreational gym in Fairbanks, Alaska. The survey collected self-report data on sociodemographics, health behaviours, and elements of the Seasonal Pattern Assessment Questionnaire (SPAQ). Results indicate that 18.68% of our study participants meet the criteria for winter-pattern SAD and 43.96% meet the criteria for subsyndromal SAD ("winter blues"). We conducted two regressions to understand experiences of SAD and predictors of seasonality more generally. Gender was a significant predictor of SAD, with women more likely than men to experience SAD (

Indexed as

Seasonal Affective DisorderAdultAlaskaExerciseFemaleHumansMaleSeasonsSurveys and Questionnairesdepressionexercisegym socialitynorthern latitudeSeasonality

Identifiers

PMID33871315
PMCPMC8079121
OpenAlexW3154517561

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.