Evidence map›Paper›PMID 38646332›Full record

ArticleCureus2024

Multiple Behavioral Risk Factors As Assets for Chronic Disease Prevention: Observations From Urban Primary Care Settings in Crete, Greece.

Emmanouil K Symvoulakis, Panagiotis Stachteas, Emmanouil Smyrnakis, Panagiotis Volkos, Aikaterini E Mantadaki, Andreas Karelis, Chrysi Petraki, Kadiani Nioti, Stylianos Mastronikolis, Aikaterini M Antoniou and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2024. 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
1.6field-weighted citation impact, top 18% 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, 3 citations in OpenAlex.

  1. 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

11 authors at 4 institutions in 2 countries.

Emmanouil K SymvoulakisClinic of Social and Family Medicine, Department of Social Medicine, School of Medicine, University of Crete, Heraklion, GRC.
Panagiotis StachteasLaboratory of Primary Health Care, General Practice and Health Services Research, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, GRC.
Emmanouil SmyrnakisLaboratory of Primary Health Care, General Practice and Health Services Research, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, GRC.
Panagiotis VolkosFourth Local Health Team, Academic Unit of Heraklion, Heraklion, GRC.
Aikaterini E MantadakiClinic of Social and Family Medicine, Department of Social Medicine, School of Medicine, University of Crete, Heraklion, GRC.
Andreas KarelisDepartment of Family Medicine, Private Primary Care Facilities, Heraklion, GRC.
Chrysi PetrakiDepartment of Family Medicine, Private Primary Care Facilities, Heraklion, GRC.
Kadiani NiotiDepartment of Family Medicine, Private Primary Care Facilities, Heraklion, GRC.
Stylianos MastronikolisDepartment of Ophthalmology, University of Patras, Patras, GRC.
Aikaterini M AntoniouDepartment of Respiratory Medicine, School of Medicine, University of Crete, Heraklion, GRC.
Manolis LinardakisClinic of Social and Family Medicine, Department of Social Medicine, School of Medicine, University of Crete, Heraklion, GRC.
Aristotle University of Thessaloniki · GRUniversity Hospital of Heraklion · GRUniversity of Crete · GRUniversity of Patras · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThis study aimed to assess the health profile of patient-attendees visiting primary healthcare (PHC) practice settings in the midst of the COVID-19 pandemic and to explore the relationships between multiple behavioral risk factors (MBRFs) and consultation-driven health information. Multiple behavioral risk factors involve a variety of unhealthy behaviors that are associated with an increased prevalence of non-communicable diseases (NCDs). SUBJECTS AND

methodsThe study design was based on a dataset analysis, afterward exploring the feasibility and diagnostic capacity of respiratory morbidity aspects from a study previously conducted. The study dataset contained information regarding socio-demographic characteristics, health habits, clinical information, and reported comorbidities from 183 primary care patient-attendees. A categorical regression analysis was performed, using as a numeric variable the multiple MBRFs (clustering of 0 to four factors) in order to examine relationships with the basic and clinical characteristics of the patient-attendees.

resultsBased on this secondary analysis, it was found that the prevalence of MBRFs is quite common among patient-attendees visiting urban PHC facilities. The prevalence of current smoking, sleep deprivation, increased body weight, and medium/high perceived stress levels were 33.9%, 52.5%, 83.1%, and 35.0%, respectively. An increased occurrence of MBRFs might be significantly predicted by the lower age of patient-attendees (b = -0.221, p = 0.05), by the absence of gray hair at an early age (b = -0.144, p = 0.042), by the physical discomfort during activities (b = 0.191, p = 0.017), or by the lower oxygen saturation (b = -0.184, p = 0.004). Diabetes mellitus (25.1%) was the most prevalent condition, followed by bronchial asthma (18.6%) and depression (15.8%).

conclusionsLower age, absence of premature hair whitening, physical discomfort during activities, and lower oxygen saturation are linked with an increased occurrence of MBRFs, leading to a neglected way of living. Those factors could be used to alert researchers, policymakers, and PHC professionals to act accordingly in order to prevent or early diagnose NCDs.

Indexed as

behavioral risk factorscovid-19health profilenon-communicable diseasesperceived stressprimary health care

Identifiers

PMID38646332
PMCPMC11032647
OpenAlexW4393070658

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.