B2711 - The association between psychological symptoms and the onset of musculoskeletal pain - 19/07/2016

B number: 
B2711
Principal applicant name: 
Alessandro Andreucci | Institute for Primary Care and Health Sciences (United Kingdom)
Co-applicants: 
Prof. Kate Dunn, Mr Alessandro Andreucci
Title of project: 
The association between psychological symptoms and the onset of musculoskeletal pain
Proposal summary: 

Musculoskeletal (MSK) pain is a major concern worldwide and it is common in adults as well as children and adolescents. Currently, research suggests that many adults who report pain actually have pain that persists and remains stable over time. However, what we don’t know yet is at what point these long term patterns of pain begin, although some emerging research suggests that pain events in childhood may be the starting point of long-term pain problems in adulthood. A recent systematic review was conducted by the authors of this data request (write up in progress) to look at factors that appear to increase the risk of musculoskeletal pain in children. Our findings show that psychosocial factors (e.g. anxiety, depression, behaviour problems) increased risk of musculoskeletal pain onset. However, our review does not tell us how these factors have an effect or the way psychosocial factors lead to a child or adolescent having musculoskeletal pain. The ALSPAC cohort offers a unique opportunity to investigate the relationships between psychological symptoms and the onset of MSK pain, as outlined above, this research will help to give a better understanding to what factors increase the risk of musculoskeletal pain in children, and importantly how. We will also be able to investigate whether the amount of screen time, pubertal stage and gender affects this relationship. Finally, we will look at whether our findings are different when we take factors such as sleep problems and substance abuse into account through our analyses.

Date proposal received: 
Thursday, 30 June, 2016
Date proposal approved: 
Wednesday, 6 July, 2016
Keywords: 
Epidemiology, Behaviour - e.g. antisocial behaviour, risk behaviour, etc., Mental health, Pain, Statistical methods, BMI, Cohort studies - attrition, bias, participant engagement, ethics, Sleep, Statistical methods, Childhood - childcare, childhood adversity, Development, Growth, Methods - e.g. cross cohort analysis, data mining, mendelian randomisation, etc., Psychology - personality, Physical - activity, fitness, function, Puberty, Sex differences, Substance use, Alcohol use, Smoking, Risk, Incidence, Musculoskeletal Pain, Screen time, Moderation analysis, Logistic regression, Adolescence, Prospective