Evidence map›Paper›PMID 35039751›Full record

ArticleInternational journal of mental health and addiction2022

A Latent Class Analysis of Mental Health Severity and Alcohol Consumption: Associations with COVID-19-Related Quarantining, Isolation, Suicidal Ideations, and Physical Activity.

David T Lardier, Micah N Zuhl, Kelley R Holladay, Fabiano T Amorim, Raina Heggenberger, Kathryn E Coakley

Open access · bronzeAbstract read
In one paragraph

Article in International journal of mental health and addiction, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 8% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Physical Activity Time, Alcohol Consumption, Mediterranean Diet, and Anxiety in Education Science Students.European journal of investigation in health, psychology and education · 2023
    Article
  7. Article
  8. Article
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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

6 authors at 3 institutions in 1 country.

David T LardierDepartment of Psychiatry and Behavioral Sciences, University of New Mexico School of Medicine, Albuquerque, NM USA.
Micah N ZuhlSchool of Health Sciences, Central Michigan University, Mt. Pleasant, MI 48859 USA.
Kelley R HolladayCollege of Health Sciences, Jacksonville University, Jacksonville, FL USA.
Fabiano T AmorimCollege of Education & Human Sciences, University of New Mexico, Albuquerque, NM USA.
Raina HeggenbergerCollege of Education & Human Sciences, University of New Mexico, Albuquerque, NM USA.
Kathryn E CoakleyCollege of Education & Human Sciences, University of New Mexico, Albuquerque, NM USA.
University of New Mexico · USCentral Michigan University · USJacksonville University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study examined latent class cluster group patterns based on measures of depression and anxiety symptom severity and alcohol consumption during the COVID-19 pandemic. Hypothesized correlates with latent class cluster groups including quarantining, self-isolation, suicidal ideations, sitting hours per day, and physical activity (vigorous intensity exercise in minutes per week) were examined. The delimited participant sample consisted of 606 university young adults 18 to 25 years of age (

Indexed as

Alcohol useAnxietyCOVID-19DepressionMental healthPhysical activityQuarantiningSuicidality

Identifiers

PMID35039751
PMCPMC8754537
OpenAlexW4205174857

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.