Time course of neck-shoulder pain among workers: A longitudinal latent class growth analysis

David M. Hallman*, Charlotte D.Nørregaard Rasmussen, Marie Birk Jørgensen, Andreas Holtermann

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

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Abstract

Objectives The aims of this study were to (i) identify trajectories of neck-shoulder pain (NSP) over one year in an occupational population and (ii) determine whether these trajectories are predicted by NSP characteristics as well as personal and occupational factors at baseline. Methods This longitudinal study was conducted among Danish workers (N=748) from 2012–2014. Text messages were used to collect frequent data on NSP over one year (14 waves in total). Peak NSP intensity in the past month was rated on a 0–10 numeric scale. A baseline questionnaire covered NSP characteristics (pain intensity, duration, comorbidity, pain medication, and pain interference) as well as personal (age, gender, body mass index) and occupational (seniority, work type, physical strain at work) factors. Latent class growth analysis was used to distinguish trajectories of NSP. Multivariate regression models with odds ratios (OR) were constructed to predict trajectories of NSP. Results Six distinct trajectories of NSP were identified (asymptomatic 11%, very low NSP 10%, low recovering NSP 18%, moderate recovering NSP 28%, strong fluctuating NSP 24% and severe persistent NSP 9% of the workers). Female gender, age, physical strain at work, NSP intensity and duration, pain medication, and pain interference in daily work at baseline were positively associated with severe persistent NSP and strong fluctuating NSP (all P<0.05). Altogether, personal and occupational factors accounted for 14% of the variance, while NSP characteristics accounted for 54%. Conclusions In an occupational sample, six distinct trajectories of NSP were identified. Physical strain at work appears to be a pertinent occupational factor predicting strong fluctuating and severe persistent NSP.

Original languageEnglish
JournalScandinavian Journal of Work, Environment and Health
Volume44
Issue number1
Pages (from-to)47-57
ISSN0355-3140
DOIs
Publication statusPublished - 2018

Fingerprint

Shoulder Pain
Neck Pain
pain
trajectory
Trajectories
worker
Growth
gender
body mass
time
analysis
Text Messaging
interference
medication

Keywords

  • Blue-collar work
  • DPhacto
  • LCGA
  • Neck pain
  • Pain trajectory
  • Prognosis
  • Prospective study
  • Humans
  • Middle Aged
  • Male
  • Occupational Diseases/epidemiology
  • Models, Statistical
  • Musculoskeletal Pain
  • Neck Pain/epidemiology
  • Denmark/epidemiology
  • Time Factors
  • Occupations/statistics & numerical data
  • Shoulder Pain/epidemiology
  • Adult
  • Surveys and Questionnaires
  • Longitudinal Studies

Cite this

Hallman, David M. ; Rasmussen, Charlotte D.Nørregaard ; Jørgensen, Marie Birk ; Holtermann, Andreas. / Time course of neck-shoulder pain among workers : A longitudinal latent class growth analysis. In: Scandinavian Journal of Work, Environment and Health. 2018 ; Vol. 44, No. 1. pp. 47-57.
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title = "Time course of neck-shoulder pain among workers: A longitudinal latent class growth analysis",
abstract = "Objectives The aims of this study were to (i) identify trajectories of neck-shoulder pain (NSP) over one year in an occupational population and (ii) determine whether these trajectories are predicted by NSP characteristics as well as personal and occupational factors at baseline. Methods This longitudinal study was conducted among Danish workers (N=748) from 2012–2014. Text messages were used to collect frequent data on NSP over one year (14 waves in total). Peak NSP intensity in the past month was rated on a 0–10 numeric scale. A baseline questionnaire covered NSP characteristics (pain intensity, duration, comorbidity, pain medication, and pain interference) as well as personal (age, gender, body mass index) and occupational (seniority, work type, physical strain at work) factors. Latent class growth analysis was used to distinguish trajectories of NSP. Multivariate regression models with odds ratios (OR) were constructed to predict trajectories of NSP. Results Six distinct trajectories of NSP were identified (asymptomatic 11{\%}, very low NSP 10{\%}, low recovering NSP 18{\%}, moderate recovering NSP 28{\%}, strong fluctuating NSP 24{\%} and severe persistent NSP 9{\%} of the workers). Female gender, age, physical strain at work, NSP intensity and duration, pain medication, and pain interference in daily work at baseline were positively associated with severe persistent NSP and strong fluctuating NSP (all P<0.05). Altogether, personal and occupational factors accounted for 14{\%} of the variance, while NSP characteristics accounted for 54{\%}. Conclusions In an occupational sample, six distinct trajectories of NSP were identified. Physical strain at work appears to be a pertinent occupational factor predicting strong fluctuating and severe persistent NSP.",
keywords = "Blue-collar work, DPhacto, LCGA, Neck pain, Pain trajectory, Prognosis, Prospective study, Humans, Middle Aged, Male, Occupational Diseases/epidemiology, Models, Statistical, Musculoskeletal Pain, Neck Pain/epidemiology, Denmark/epidemiology, Time Factors, Occupations/statistics & numerical data, Shoulder Pain/epidemiology, Adult, Surveys and Questionnaires, Longitudinal Studies",
author = "Hallman, {David M.} and Rasmussen, {Charlotte D.N{\o}rregaard} and J{\o}rgensen, {Marie Birk} and Andreas Holtermann",
year = "2018",
doi = "10.5271/sjweh.3690",
language = "English",
volume = "44",
pages = "47--57",
journal = "Scandinavian Journal of Work, Environment & Health",
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Time course of neck-shoulder pain among workers : A longitudinal latent class growth analysis. / Hallman, David M.; Rasmussen, Charlotte D.Nørregaard; Jørgensen, Marie Birk; Holtermann, Andreas.

In: Scandinavian Journal of Work, Environment and Health, Vol. 44, No. 1, 2018, p. 47-57.

Research output: Contribution to journalJournal articleResearchpeer-review

TY - JOUR

T1 - Time course of neck-shoulder pain among workers

T2 - A longitudinal latent class growth analysis

AU - Hallman, David M.

AU - Rasmussen, Charlotte D.Nørregaard

AU - Jørgensen, Marie Birk

AU - Holtermann, Andreas

PY - 2018

Y1 - 2018

N2 - Objectives The aims of this study were to (i) identify trajectories of neck-shoulder pain (NSP) over one year in an occupational population and (ii) determine whether these trajectories are predicted by NSP characteristics as well as personal and occupational factors at baseline. Methods This longitudinal study was conducted among Danish workers (N=748) from 2012–2014. Text messages were used to collect frequent data on NSP over one year (14 waves in total). Peak NSP intensity in the past month was rated on a 0–10 numeric scale. A baseline questionnaire covered NSP characteristics (pain intensity, duration, comorbidity, pain medication, and pain interference) as well as personal (age, gender, body mass index) and occupational (seniority, work type, physical strain at work) factors. Latent class growth analysis was used to distinguish trajectories of NSP. Multivariate regression models with odds ratios (OR) were constructed to predict trajectories of NSP. Results Six distinct trajectories of NSP were identified (asymptomatic 11%, very low NSP 10%, low recovering NSP 18%, moderate recovering NSP 28%, strong fluctuating NSP 24% and severe persistent NSP 9% of the workers). Female gender, age, physical strain at work, NSP intensity and duration, pain medication, and pain interference in daily work at baseline were positively associated with severe persistent NSP and strong fluctuating NSP (all P<0.05). Altogether, personal and occupational factors accounted for 14% of the variance, while NSP characteristics accounted for 54%. Conclusions In an occupational sample, six distinct trajectories of NSP were identified. Physical strain at work appears to be a pertinent occupational factor predicting strong fluctuating and severe persistent NSP.

AB - Objectives The aims of this study were to (i) identify trajectories of neck-shoulder pain (NSP) over one year in an occupational population and (ii) determine whether these trajectories are predicted by NSP characteristics as well as personal and occupational factors at baseline. Methods This longitudinal study was conducted among Danish workers (N=748) from 2012–2014. Text messages were used to collect frequent data on NSP over one year (14 waves in total). Peak NSP intensity in the past month was rated on a 0–10 numeric scale. A baseline questionnaire covered NSP characteristics (pain intensity, duration, comorbidity, pain medication, and pain interference) as well as personal (age, gender, body mass index) and occupational (seniority, work type, physical strain at work) factors. Latent class growth analysis was used to distinguish trajectories of NSP. Multivariate regression models with odds ratios (OR) were constructed to predict trajectories of NSP. Results Six distinct trajectories of NSP were identified (asymptomatic 11%, very low NSP 10%, low recovering NSP 18%, moderate recovering NSP 28%, strong fluctuating NSP 24% and severe persistent NSP 9% of the workers). Female gender, age, physical strain at work, NSP intensity and duration, pain medication, and pain interference in daily work at baseline were positively associated with severe persistent NSP and strong fluctuating NSP (all P<0.05). Altogether, personal and occupational factors accounted for 14% of the variance, while NSP characteristics accounted for 54%. Conclusions In an occupational sample, six distinct trajectories of NSP were identified. Physical strain at work appears to be a pertinent occupational factor predicting strong fluctuating and severe persistent NSP.

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KW - DPhacto

KW - LCGA

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KW - Prospective study

KW - Humans

KW - Middle Aged

KW - Male

KW - Occupational Diseases/epidemiology

KW - Models, Statistical

KW - Musculoskeletal Pain

KW - Neck Pain/epidemiology

KW - Denmark/epidemiology

KW - Time Factors

KW - Occupations/statistics & numerical data

KW - Shoulder Pain/epidemiology

KW - Adult

KW - Surveys and Questionnaires

KW - Longitudinal Studies

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U2 - 10.5271/sjweh.3690

DO - 10.5271/sjweh.3690

M3 - Journal article

C2 - 29120478

AN - SCOPUS:85040081474

VL - 44

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JO - Scandinavian Journal of Work, Environment & Health

JF - Scandinavian Journal of Work, Environment & Health

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