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Predicting the occurrence of headache and back pain in young adults by biopsychological characteristics assessed at childhood or adolescence

Overview of attention for article published in Adolescent Health, Medicine and Therapeutics, March 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (73rd percentile)

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Title
Predicting the occurrence of headache and back pain in young adults by biopsychological characteristics assessed at childhood or adolescence
Published in
Adolescent Health, Medicine and Therapeutics, March 2017
DOI 10.2147/ahmt.s127501
Pubmed ID
Authors

Birgit Kröner-Herwig, Anastasia Gorbunova, Jennifer Maas

Abstract

The aim of the current study was to identify predictors of recurrent headache and back pain in young adults (aged 18-27 years) from data assessed in childhood or adolescence, i.e., 9 years before the final survey. Our interest was whether psychological characteristics contribute to the risk of pain prevalence in adult age when controlling for already empirically supported risk factors such as parental pain, pediatric pain and sex. The study was part of a five-wave epidemiological investigation of >5000 families with children aged between 7 and 14 years when addressed first. In a multiple hierarchical regression analysis, the abovementioned three variables (Block-I variables) were entered first followed by five psychological trait variables (Block-II variables: internalizing, anxiety sensitivity, somatosensory amplification, catastrophizing and dysfunctional stress coping) to find out the extent of model improvement. The multivariable hierarchical regression analysis confirmed the hypothesis that the Block-I variables significantly enhance the risk of future pain at young adult age. None of the psychological variables did so. Thus, the hypothesis of a significant surplus predictive effect was not confirmed. The amount of total explained variance differed strongly between headache and back pain. In particular, a valid prediction of back pain was not possible. When analyzed separately in simple regression analysis, psychological variables turned out to be significant predictors, however, of very low effect size. The inclusion of Block-I variables in the model clearly reduced the impact of the psychological variables. This risk profile is discussed in the context of the different trajectories of headache and back pain from childhood to adult age, which were proposed by various studies. We propose that a biopsychological characteristic denoted as emotional negativity, especially regarding self-reference, might be a common factor behind all selected variables. Risk research in recurrent pain is a field where much more multidisciplinary research is needed before progress can be expected.

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Mendeley readers

Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 21%
Student > Ph. D. Student 5 15%
Student > Doctoral Student 4 12%
Student > Bachelor 2 6%
Student > Postgraduate 2 6%
Other 3 9%
Unknown 10 30%
Readers by discipline Count As %
Medicine and Dentistry 8 24%
Psychology 4 12%
Neuroscience 3 9%
Nursing and Health Professions 2 6%
Social Sciences 1 3%
Other 0 0%
Unknown 15 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 December 2021.
All research outputs
#5,222,421
of 25,584,565 outputs
Outputs from Adolescent Health, Medicine and Therapeutics
#52
of 145 outputs
Outputs of similar age
#86,459
of 324,971 outputs
Outputs of similar age from Adolescent Health, Medicine and Therapeutics
#1
of 2 outputs
Altmetric has tracked 25,584,565 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 145 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 31.0. This one has gotten more attention than average, scoring higher than 64% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 324,971 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them