Evidence map›Paper›PMID 35536235›Full record

ArticleEuropean journal of pain (London, England)2022

Nature and nurture. Genetic and environmental factors on the relationship between back pain and sleep quality.

Juan J Madrid-Valero, Alessandro Andreucci, Eduvigis Carrillo, Paulo H Ferreira, Jose M Martínez-Selva, Juan R Ordoñana

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Article in European journal of pain (London, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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0cells of the map it votes in
7citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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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

6 authors.

Juan J Madrid-ValeroDepartment of Health Psychology, Faculty of Health Sciences, University of Alicante, Alicante, Spain.ORCID 0000-0002-3450-1159
Alessandro AndreucciCenter for General Practice at Aalborg University, Department of Clinical Medicine , Aalborg University, Aalborg, Denmark.
Eduvigis CarrilloDepartment of Human Anatomy and Psychobiology, University of Murcia, Murcia, Spain.
Paulo H FerreiraUniversity of Sydney, Sydney, NSW, Australia.
Jose M Martínez-SelvaDepartment of Human Anatomy and Psychobiology, University of Murcia, Murcia, Spain.
Juan R OrdoñanaDepartment of Human Anatomy and Psychobiology, University of Murcia, Murcia, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic low back pain (LBP), neck pain (NP), and sleep quality (SQ) are genetically influenced. All three conditions frequently co-occur and shared genetic aetiology on a pairwise base has been reported. However, to our knowledge, no study has yet investigated if these three conditions are influenced by the same genetic and environmental factors and the extent and pattern of genetic overlap between them, hence the current research.

methodsThe sample included 2134 participants. Lifetime prevalence of NP and LBP were assessed through a dichotomous self-reported question derived from the Spanish National Health Survey. SQ was measured using the Pittsburgh Sleep Quality Index Questionnaire. A common pathway model with sleep quality and back pain as latent factors was fitted.

resultsOur results highlight that a latent back pain factor, including both NP and LBP, is explained by both genetic (41%) and environmental (59%) factors. There are also significant unique environmental factors for NP (33%) and LBP (37%) respectively. Yet, specific genetic factors were scant (9%) for NP and negligible for LBP (0%). Genetic and environmental factors affecting SQ only contribute with 3% and 5% of the variance, respectively, to the common latent back pain variable.

conclusionsNP and LBP share most of their genetic variance, while environmental effects show greater specificity for each of the back pain locations. Associations with SQ were of a limited magnitude. SIGNIFICANCE: Our results confirm a significant association between both chronic NP and LBP and sleep quality. Such relationship comprises both genetic and environmental factors, with a greater relative weight of the latter. A large part of the individual variance for chronic LBP and chronic NP can be accounted for by a latent common factor of 'back pain'. Genetic influences for LBP and NP were mainly shared. However, environmental influences were common for both problems and specific for each of them in similar magnitudes.

Indexed as

Chronic PainLow Back PainHealth SurveysHumansNeck PainSleep Quality

Identifiers

PMID35536235
PMCPMC9541574

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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.