Evidence map›Paper›PMID 31035480›Full record

ArticleDiagnostics (Basel, Switzerland)2019

Health Predictors of Pain in Elderly-A Serbian Population-Based Study.

Milena Kostadinovic, Dejan Nikolic, Dragana Cirovic, Ljubica Konstantinovic, Milica Mitrovic-Jovanovic, Natasa Radosavljevic, Mirjana Kocic, Vesna Bjegovic-Mikanovic, Milena Santric Milicevic

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Milena KostadinovicClinical Center of Serbia, 11000 Belgrade, Serbia. milena8250@hotmail.com.
Dejan NikolicFaculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia. denikol27@gmail.com.ORCID 0000-0002-0609-9916
Dragana CirovicFaculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia. cirovicdragana@yahoo.com.ORCID 0000-0002-9482-0493
Ljubica KonstantinovicFaculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia. ljkonstantinovic@yahoo.com.
Milica Mitrovic-JovanovicDepartment of Radiology, Clinical Center of Serbia, 11000 Belgrade, Serbia. dr_milica@yahoo.com.
Natasa RadosavljevicFaculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia. dr.natasa.radosavljevic@gmail.com.
Mirjana KocicFaculty of Medicine, University of Nis, 18000 Nis, Serbia. kocicm60@gmail.com.
Vesna Bjegovic-MikanovicInstitute of Social Medicine, Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia. bjegov@med.bg.ac.rs.
Milena Santric MilicevicInstitute of Social Medicine, Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia. milena.santric-milicevic@med.bg.ac.rs.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe aim of our study was to evaluate the association of health factors with the presence and different degrees of pain in elderly above 65 years of life.

methodsThe population-based study included 3540 individuals above 65 years of age of life from twofold stratified household sample representative for Serbia, during 2013 (the average age 73.9 ± 6.3 years; average Body Mass Index was 26.7 ± 4.4, females 56.8%, living with partner 55.5%, with primary education 55.3%, with poor wealth index 55.8% and from rural settings 46.2%). As health predictors of pain, we analyzed further health parameters: self-perceived general health, long-lasting health problems, diagnosed pulmonary disease, cardiovascular disease, musculoskeletal disease, diabetes, hyperlipidemia, hypertension and other chronic diseases. Pain domain of SF-36 version 2.0 was used for pain assessment.

resultsSignificant health predictors of pain were: self-perceived general health (OR 2.28), where bad perception of self-perceived general health in our study had greater risk of pain with higher degree of severity; long-lasting health problems (OR 1.60), where elderly with long-lasting health problems had almost twice the risk of moderate degree of pain, and above twice the risk for severe degree of pain; pulmonary disease (OR 1.38); musculoskeletal disease (OR 2.98) and other chronic diseases (OR 1.71). The presence of musculoskeletal disease increases the risk for pain, even more than double in severe versus mild degrees of pain.

conclusionBad self-perceived general health, long-lasting health problems, pulmonary, musculoskeletal diseases, cardiovascular disease and other chronic disease were significant health-related predictors of various degrees of pain in elderly.

Indexed as

diseaseelderlyhealthpain

Identifiers

PMID31035480
PMCPMC6627476

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LicenceCC BY
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Registered trials

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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.