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Association between low back pain and body mass index in adult twins: an analysis of monozygotic and dizygotic twins of the Washington State Twin Registry.
Liechty, Andrew; Tsang, Siny; Turkheimer, Eric; Duncan, Glen E.
Afiliação
  • Liechty A; Washington State University Spokane Health Sciences, 412 E Spokane Falls Blvd, Spokane, WA 99202, USA. Electronic address: Andrew.liechty@gmail.com.
  • Tsang S; Washington State University Spokane Health Sciences, 412 E Spokane Falls Blvd, Spokane, WA 99202, USA.
  • Turkheimer E; University of Virginia, USA.
  • Duncan GE; Washington State University Spokane Health Sciences, 412 E Spokane Falls Blvd, Spokane, WA 99202, USA.
Spine J ; 20(11): 1805-1815, 2020 11.
Article em En | MEDLINE | ID: mdl-32615328
ABSTRACT
BACKGROUND CONTEXT Low back pain (LBP) is a common and significant cause of disability worldwide, however; questions about cause still remain.

PURPOSE:

To investigate the association between LBP, body mass index (BMI), and moderate to vigorous physical activity (MVPA) in a twin sample. STUDY

DESIGN:

Cross sectional study of monozygotic (MZ) and dizygotic (DZ) twins from the Washington State Twin Registry. PATIENT SAMPLE Monozygotic and dizygotic twins from the Washington State Twin Registry. OUTCOME

MEASURES:

Self-report

measures:

Low back pain, body mass index, duration and intensity of exercise.

METHODS:

The sample included 5,183 same-sex pairs (69% MZ). The outcome was self-reported diagnosis of LBP from a health care provider. A phenotypic model tested the association between BMI and LBP without including genetic or shared environmental confounds. We then re-estimated the association using a quasi-causal model which controls for those confounds. Finally, we used a mediation model to investigate if the association between LBP and MVPA was mediated by BMI.

RESULTS:

In the phenotypic regression of LBP on BMI, there was a ~4-fold increase in the odds of having LBP with every one-unit increase in BMI (odds ratio [OR] =3.83; 95% confidence interval =3.28, 4.46). However, quasi-causal regression of LBP on BMI was reduced to zero (OR =0.95; 95% confidence interval =0.60, 1.49). A significant genetic background to BMI and LBP was present (bA =1.66; p<.001), even after controlling for confounders. In another analysis there was a significant direct effect between MVPA and LBP (bp=-0.092, standard error [SE] =0.017, p<.001). In mediation analysis, the effect of MVPA on LBP was partially mediated through MVPA effects on BMI ( [Formula see text] =-0.043, SE=0.003, p<.001) and BMI effects on LBP ( [Formula see text] =1.281, SE=0.079, OR=3.6, p<.001), however shared environmental factors confounded this relationship.

CONCLUSIONS:

BMI was not associated with LBP, despite sharing a phenotypic association, but they may share a genetic influence. The effect of MVPA on LBP is, in part, mediated by BMI but shared environment confounds this relationship. LEVEL OF EVIDENCE Level 3.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Dor Lombar Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Dor Lombar Idioma: En Ano de publicação: 2020 Tipo de documento: Article