Time course of neck-shoulder pain among workers: A longitudinal latent class growth analysis
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 long...
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| Format: | Article |
| Language: | English |
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Nordic Association of Occupational Safety and Health (NOROSH)
2018-01-01
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| Series: | Scandinavian Journal of Work, Environment & Health |
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| Online Access: |
https://www.sjweh.fi/show_abstract.php?abstract_id=3690
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| _version_ | 1818640932069703680 |
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| author | David M Hallman Charlotte Diana Nørregaard Rasmussen Marie Birk Jørgensen Andreas Holtermann |
| author_facet | David M Hallman Charlotte Diana Nørregaard Rasmussen Marie Birk Jørgensen Andreas Holtermann |
| author_sort | David M Hallman |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-16T23:19:07Z |
| format | Article |
| id | doaj.art-a52877106d97410a8fe1c80dbe1227bf |
| institution | Directory Open Access Journal |
| issn | 0355-3140 1795-990X |
| language | English |
| last_indexed | 2024-12-16T23:19:07Z |
| publishDate | 2018-01-01 |
| publisher | Nordic Association of Occupational Safety and Health (NOROSH) |
| record_format | Article |
| series | Scandinavian Journal of Work, Environment & Health |
| spelling | doaj.art-a52877106d97410a8fe1c80dbe1227bf2022-12-21T22:12:13ZengNordic Association of Occupational Safety and Health (NOROSH)Scandinavian Journal of Work, Environment & Health0355-31401795-990X2018-01-01441475710.5271/sjweh.36903690Time course of neck-shoulder pain among workers: A longitudinal latent class growth analysisDavid M Hallman0Charlotte Diana Nørregaard RasmussenMarie Birk JørgensenAndreas HoltermannCentre for Musculoskeletal Research, University of Gävle, Kungsbäcksvägen 47, 801 76 Gävle, Sweden.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. https://www.sjweh.fi/show_abstract.php?abstract_id=3690 pain trajectorylatent class growth analysislcgadphactoneck-shoulder painblue-collar workneck painworkerprospective studyprognosispainshoulder painlongitudinal |
| spellingShingle | David M Hallman Charlotte Diana Nørregaard Rasmussen Marie Birk Jørgensen Andreas Holtermann Time course of neck-shoulder pain among workers: A longitudinal latent class growth analysis Scandinavian Journal of Work, Environment & Health pain trajectory latent class growth analysis lcga dphacto neck-shoulder pain blue-collar work neck pain worker prospective study prognosis pain shoulder pain longitudinal |
| title | Time course of neck-shoulder pain among workers: A longitudinal latent class growth analysis |
| title_full | Time course of neck-shoulder pain among workers: A longitudinal latent class growth analysis |
| title_fullStr | Time course of neck-shoulder pain among workers: A longitudinal latent class growth analysis |
| title_full_unstemmed | Time course of neck-shoulder pain among workers: A longitudinal latent class growth analysis |
| title_short | Time course of neck-shoulder pain among workers: A longitudinal latent class growth analysis |
| title_sort | time course of neck shoulder pain among workers a longitudinal latent class growth analysis |
| topic | pain trajectory latent class growth analysis lcga dphacto neck-shoulder pain blue-collar work neck pain worker prospective study prognosis pain shoulder pain longitudinal |
| url |
https://www.sjweh.fi/show_abstract.php?abstract_id=3690
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