Early signs of long-term pain: prospective network profiles from late adolescence and lifelong follow-up

This study applies network theory to registry data to identify prospective differences between individuals who develop long-term pain later in life and those who do not. The research is based on assessments of biological, psychological, and social variables in late adolescence during military conscription in Sweden. The analysis reveals significant differences in the network profiles of adolescent men who later developed long-term pain. These differences are reflected in several network-based outputs, including global, nodal, and edge levels, revealing a consistent picture of the pain-associated network profile. This profile demonstrates how those vulnerable to long-term pain have a specific configuration of variables that skew away from the rest of the population, mainly relating to psychosocial aspects.

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Publication Details

Journal
npj Mental Health Research
Published
2025-02-12
DOI
https://doi.org/10.1038/s44184-025-00122-0
Primary Topic
Mental Health Research Topics
Type
article
Field-Weighted Citation Impact
0.00

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article

Early signs of long-term pain: prospective network profiles from late adolescence and lifelong follow-up

Karin Jensen, Maria Lalouni, Anna Andréasson, Filip Gedin et al.
npj Mental Health Research
Mental Health Research Topics
article

Early signs of long-term pain: prospective network profiles from late adolescence and lifelong follow-up

Karin Jensen, Maria Lalouni, Anna Andréasson, Filip Gedin, William Hedley Thompson, Emelie Thern
article en

Abstract

This study applies network theory to registry data to identify prospective differences between individuals who develop long-term pain later in life and those who do not. The research is based on assessments of biological, psychological, and social variables in late adolescence during military conscription in Sweden. The analysis reveals significant differences in the network profiles of adolescent men who later developed long-term pain. These differences are reflected in several network-based outputs, including global, nodal, and edge levels, revealing a consistent picture of the pain-associated network profile. This profile demonstrates how those vulnerable to long-term pain have a specific configuration of variables that skew away from the rest of the population, mainly relating to psychosocial aspects.

npj Mental Health ResearchVol. 4(1)
Stockholm University (SE), Karolinska Institutet (SE), University of Gothenburg (SE)
Göteborgs Universitet, Länsförsäkringar
No poverty
Openalex Percentile: Top 98%
Mental Health Research Topics
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