Evidence map›Paper›PMID 34840981›Full record

ArticleBioMed research international2021

Influence of Obesity on Heart Rate Variability in Nurses with Age and Shift Type as Moderators.

Wen-Pei Chang, Chia-Hui Wang, Yen-Kuang Lin

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

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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

3 authors at 3 institutions in 1 country.

Wen-Pei ChangDepartment of Nursing, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan.ORCID https://orcid.org/0000-0002-4906-2136
Chia-Hui WangSchool of Nursing, College of Nursing, Taipei Medical University, Taipei, Taiwan.ORCID https://orcid.org/0000-0002-8181-5097
Yen-Kuang LinGraduate Institute of Athletics and Coaching Science, National Taiwan Sport University, Taoyuan, Taiwan.ORCID https://orcid.org/0000-0002-7027-9508
National Taiwan Sport University · TWTaipei Medical University · TWTaipei Medical University-Shuang Ho Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity is a risk factor of cardiovascular disease-related mortality and may be associated with changes in the autonomic nerve activity. Nurses working shifts and caring for patients are under great mental and physical pressure, and research has proven that these can negatively affect the body. The objective of this study was to examine the influence of obesity in nurses on their heart rate variability (HRV) and determine whether age or shift type moderates this influence. A questionnaire survey and HRV measurements were conducted on nurses at a hospital in Taiwan during a routine employee health checkup. HRV analysis was conducted using a noninvasive HRV monitor for five minutes. A total of 242 nurses with a mean age of 28.98 ± 6.56 years were enrolled in this study. An overly large waist circumference (WC) had a negative impact on high frequency (HF), low frequency (LF), and standard deviation of normal-to-normal interval (SDNN), while an overly high body mass index (BMI) had a negative impact on very low frequency (VLF) and SDNN. The interaction term "overly large WC × age" had a negative impact on HF (

Indexed as

NursesAdultAge FactorsAnalysis of VarianceAutonomic Nervous SystemBody Mass IndexCardiovascular DiseasesFemaleHeart Disease Risk FactorsHeart RateHumansMaleObesityShift Work ScheduleTaiwanWaist Circumference

Identifiers

PMID34840981
PMCPMC8612804
OpenAlexW3212276462

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.