Evidence map›Paper›PMID 36928254›Full record

ArticlePloS one2023

Quality of life and associated factors among Norwegian public health nurse students during the first months of the COVID-19 pandemic: A cross-sectional study.

Lisbeth Valla, Victoria Telle Hjellset, Milada Cvancarova Småstuen, Bente Sparboe-Nilsen

Open access · goldFull text read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 1 institution in 1 country.

Lisbeth VallaDepartment of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University, Oslo, Norway.ORCID 0000-0001-6742-7787
Victoria Telle HjellsetDepartment of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University, Oslo, Norway.
Milada Cvancarova SmåstuenDepartment of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University, Oslo, Norway.
Bente Sparboe-NilsenDepartment of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University, Oslo, Norway.
OsloMet – Oslo Metropolitan University · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The main objective of this study was to investigate the association between quality of life (QOL) and civil status, self-efficacy, loneliness, and physical and mental health among public health nurse (PHN) students during the COVID-19 pandemic in April 2020. PHN students were recruited from eight universities and university colleges in Norway. A range of potential predictive factors were entered into a model using a stepwise linear regression approach. In general, the PHN students reported a high level of QOL during the first month of the pandemic. The students' civil status, perceived physical health, self-efficacy and loneliness were all significantly correlated with QOL. Among these, the strongest predictive factors for QOL were found to be perceived loneliness and self-efficacy. Our results provide insight into the QOL of PHN students, which managers in the higher education sector can use to outline specific coping strategies that can help students during a pandemic.

Indexed as

COVID-19Nurses, Public HealthCross-Sectional StudiesHumansNorwayPandemicsQuality of LifeStudentsUniversities

Identifiers

PMID36928254
PMCPMC10019636
OpenAlexW4327566814

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read9
reference markers read3
identifiers read3
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.