Evidence map›Paper›PMID 35579400›Full record

ArticleAmerican journal of men's health

Characterizing Unusual Spatial Clusters of Male Mental Health Emergencies Occurring During the First National COVID-19 "Lockdown" in the East Midlands Region, UK: A Geospatial Analysis of Ambulance 999 Data.

Harriet Elizabeth Moore, Bartholomew Hill, Frank Tanser, Aloysius Niroshan Siriwardena, Mark Gussy, Morgan Cutts, Robert Spaight

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in American journal of men's health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

7 authors at 3 institutions in 1 country.

Harriet Elizabeth MooreDIRE Research Group, Department of Geography, University of Lincoln, Lincoln, UK.ORCID 0000-0003-1941-6471
Bartholomew HillWater WISER CDT, University of Loughborough, Loughborough, Leicestershire, UK.
Frank TanserLincoln Institute for Rural Health, University of Lincoln, Lincoln, UK.
Aloysius Niroshan SiriwardenaCommunity and Health Research Unit, School of Health and Social Care, University of Lincoln, Lincoln, UK.
Mark GussyLincoln Institute for Rural Health, University of Lincoln, Lincoln, UK.
Morgan CuttsDepartment of Geography, University of Lincoln, Lincoln, UK.
Robert SpaightEast Midlands Ambulance Service NHS Trust, Nottingham, UK.
University of Lincoln · GBEast Midlands Ambulance Service NHS Trust · GBLoughborough University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The widespread psychological effects of contagion mitigation measures associated with the novel coronavirus disease 2019 (COVID-19) are well known. Phases of "lockdown" have increased levels of anxiety and depression globally. Most research uses methods such as self-reporting that highlight the greater impact of the pandemic on the mental health of females. Emergency medical data from ambulance services may be a better reflection of male mental health. We use ambulance data to identify unusual clusters of high rates of male mental health emergencies occurring in the East Midlands of the United Kingdom during the first national "lockdown" and to explore factors that may explain clusters. Analysis of more than 5,000 cases of male mental health emergencies revealed 19 unusual spatial clusters. Binary logistic regression analysis (χ

Indexed as

COVID-19AmbulancesEmergenciesFemaleHumansMaleMental HealthSARS-CoV-2United Kingdomambulance dataCOVID-19male mental healthrural healthspatial analysis

Identifiers

PMID35579400
PMCPMC9118447
OpenAlexW4280587364

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.