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Comorbidity Among Multiple Pain Symptoms and Anxious Depression in a Dutch Population Sample

Overview of attention for article published in Journal of Pain, June 2014
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Title
Comorbidity Among Multiple Pain Symptoms and Anxious Depression in a Dutch Population Sample
Published in
Journal of Pain, June 2014
DOI 10.1016/j.jpain.2014.06.007
Pubmed ID
Authors

Lannie Ligthart, Corine M. Visscher, Caroline M.H.H. van Houtem, Lot M. Geels, Jacqueline M. Vink, Ad de Jongh, Dorret I. Boomsma

Abstract

Most studies on pain focus on specific disorders, which makes it hard to compare characteristics across different types of pain symptoms. In this large population-based study, we examine the prevalence and comorbidity patterns among pain symptoms across a wide range of anatomical sites (back, neck, head, abdomen, joints, chest, face, teeth and other), in relation to anxious depression and a range of demographic, health and lifestyle variables. Self-report data were collected in 11,787 adult participants of the Netherlands Twin Registry (mean age 44.5 years, 62% female), including twins and relatives of twins. Headache and abdominal pain were strongly associated with female sex, while chest pain and toothache were not. Joint pain strongly increased with age, whereas headache and abdominal pain decreased with age. Most other pain sites were only weakly associated with age. A highly consistent pattern of comorbidity was observed: all pain symptoms were correlated with all other pain symptoms, as well as with anxious depression. Frequent and widespread pain (i.e., pain at multiple sites) was most strongly associated with anxious depression. These observations reflect important differences between specific pain symptoms, suggesting partly separate etiologies, but also highlight the importance of shared mechanisms underlying pain symptoms in general.

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Mendeley readers

The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
United States 1 2%
Australia 1 2%
Brazil 1 2%
Unknown 58 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 19%
Researcher 10 16%
Student > Ph. D. Student 6 10%
Student > Bachelor 5 8%
Student > Postgraduate 4 6%
Other 12 19%
Unknown 13 21%
Readers by discipline Count As %
Medicine and Dentistry 15 24%
Psychology 9 15%
Nursing and Health Professions 8 13%
Social Sciences 4 6%
Neuroscience 3 5%
Other 6 10%
Unknown 17 27%