| 1. |
- Aboagye, Emmanuel, et al.
(författare)
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Exhaustion and Impaired Work Performance in the Workplace : Associations With Presenteeism and Absenteeism
- 2019
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Ingår i: Journal of Occupational and Environmental Medicine. - : Wolters Kluwer. - 1076-2752 .- 1536-5948. ; 61:11, s. 438-444
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Tidskriftsartikel (refereegranskat)abstract
- Objective: The aim of this study was to investigate the association between presenteeism and absenteeism during the previous year and the current levels of exhaustion and impaired work performance in a Swedish university setting.Methods: In a study of 3525 employees, an ordinal logistic regression and general linear model was used to examine the association between presenteeism and absenteeism during the previous year and the current exhaustion and impaired work performance, respectively.Results: Presenteeism, but not absenteeism, during the previous year independently increased the risk of having moderate or severe exhaustion. Presenteeism, absenteeism, and exhaustion remained positively associated with impaired work performance when health status and other confounders had been adjusted for.Conclusions: Presenteeism, but not absenteeism, was associated with exhaustion. Both presenteeism and absenteeism were the salient correlates of impaired work performance.
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| 2. |
- Alipour, Akbar, et al.
(författare)
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The transitional pattern of pain and disability, from perceived pain to sick leave : Experience from a longitudinal study
- 2013
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Ingår i: Journal of Back and Musculoskeletal Rehabilitation. - : IOS Press. - 1053-8127 .- 1878-6324. ; 26:4, s. 411-419
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Tidskriftsartikel (refereegranskat)abstract
- Objectives: To investigate the prospective value of the transitional and dynamic patterns of pain disability over time on sick leave in chronic recurrent back/neck pain cases.Methods: The material used was based on a longitudinal study with three repeated measurements. The graded Chronic Pain Scale was used to assess levels of pain disability. The relationship between the transitional patterns of the pain disability score ( ten defined states of decrease, increase or no change, between two time points) and sick leave was analyzed for 909 chronic/recurrent cases in three different models using logistic regression. Results: Those with high level of pain disability have a more transitional pattern and their pain level changed during the time period studied. When adjusting for age, gender, education and previous sick leave, the final model indicated that the current level of pain disability was a risk factor in taking sick leave. The likelihood of sick leave was highest in the transition of pain into the highest levels of disability, independent of past disability level of pain. Earlier sick leave remained as an important predictor of sick leave.Conclusions: From a clinical and prognostic perspective the probability of sick leave will be different and can be predicted based on previous sick leave but not from former history of pain disability level or its transitional pattern.
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| 3. |
- Axén, Iben, et al.
(författare)
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Analyzing repeated data collected by mobile phones and frequent text messages : An example of Low back pain measured weekly for 18 weeks
- 2012
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Ingår i: BMC Medical Research Methodology. - : BioMed Central. - 1471-2288. ; 12
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Tidskriftsartikel (refereegranskat)abstract
- Background: Repeated data collection is desirable when monitoring fluctuating conditions. Mobile phones can be used to gather such data from large groups of respondents by sending and receiving frequently repeated short questions and answers as text messages.The analysis of repeated data involves some challenges. Vital issues to consider are the within-subject correlation, the between measurement occasion correlation and the presence of missing values.The overall aim of this commentary is to describe different methods of analyzing repeated data. It is meant to give an overview for the clinical researcher in order for complex outcome measures to be interpreted in a clinically meaningful way.Methods: A model data set was formed using data from two clinical studies, where patients with low back pain were followed with weekly text messages for 18 weeks. Different research questions and analytic approaches were illustrated and discussed, as well as the handling of missing data. In the applications the weekly outcome “number of days with pain” was analyzed in relation to the patients’ “previous duration of pain” (categorized as more or less than 30 days in the previous year).Research questions with appropriate analytical methods1: How many days with pain do patients experience? This question was answered with data summaries.2: What is the proportion of participants “recovered” at a specific time point? This question was answered using logistic regression analysis.3: What is the time to recovery? This question was answered using survival analysis, illustrated in Kaplan-Meier curves, Proportional Hazard regression analyses and spline regression analyses.4: How is the repeatedly measured data associated with baseline (predictor) variables? This question was answered using generalized Estimating Equations, Poisson regression and Mixed linear models analyses.5: Are there subgroups of patients with similar courses of pain within the studied population?A visual approach and hierarchical cluster analyses revealed different subgroups using subsets of the model data.Conclusions: We have illustrated several ways of analysing repeated measures with both traditional analytic approaches using standard statistical packages, as well as recently developed statistical methods that will utilize all the vital features inherent in the data.
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| 4. |
- Axén, Iben, et al.
(författare)
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Clustering patients on the basis of their individual course of low back pain over a six month period
- 2011
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Ingår i: BMC Musculoskeletal Disorders. - : BioMed Central. - 1471-2474. ; 12
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Tidskriftsartikel (refereegranskat)abstract
- Background: Several researchers have searched for subgroups in the heterogeneous population of patients with non-specific low back pain (LBP). To date, subgroups have been identified based on psychological profiles and the variation of pain.Methods: This multicentre prospective observational study explored the 6- month clinical course with measurements of bothersomeness that were collected from weekly text messages that were sent by 176 patients with LBP. A hierarchical cluster analysis, Ward's method, was used to cluster patients according to the development of their pain.Results: Four clusters with distinctly different clinical courses were described and further validated against clinical baseline variables and outcomes. Cluster 1, a "stable" cluster, where the course was relatively unchanged over time, contained young patients with good self- rated health. Cluster 2, a group of "fast improvers" who were very bothered initially but rapidly improved, consisted of patients who rated their health as relatively poor but experienced the fewest number of days with bothersome pain of all the clusters. Cluster 3 was the "typical patient" group, with medium bothersomeness at baseline and an average improvement over the first 4-5 weeks. Finally, cluster 4 contained the "slow improvers", a group of patients who improved over 12 weeks. This group contained older individuals who had more LBP the previous year and who also experienced most days with bothersome pain of all the clusters.Conclusions: It is possible to define clinically meaningful clusters of patients based on their individual course of LBP over time. Future research should aim to reproduce these clusters in different populations, add further clinical variables to distinguish the clusters and test different treatment strategies for them.
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| 5. |
- Axén, Iben, et al.
(författare)
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The use of weekly text messaging over 6 months was a feasible method for monitoring the clinical course of low back pain in patients seeking chiropractic care
- 2012
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Ingår i: Journal of Clinical Epidemiology. - : Elsevier. - 0895-4356 .- 1878-5921. ; 65:4, s. 454-461
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Tidskriftsartikel (refereegranskat)abstract
- Objective: This study critically evaluates a new method of collecting frequent data using mobile phones and text messages. Fluctuating conditions such as low back pain (LBP) need frequent monitoring to describe the clinical course in detail and to account for individual and subgroup variations.Study Design and Setting: In this multicentre prospective observational study, 262 subjects with nonspecific LBP were followed with weekly text messages for 6 months, with the question “How many days this previous week has your low back pain been bothersome?” The text replies were instantly recorded in a data file to be merged with baseline and follow up data (age, gender, pain intensity, duration, and self- rated health) collected through ordinary questionnaires. The response rate, user-friendliness, and compliance of this method were evaluated.Results: The mean response rate for the text messages throughout the study was 82.5% and was unaffected by season. The method was found to be user friendly. Dropout was not affected by age and gender, but compliance was possibly somewhat affected by outcome.Conclusion: Weekly text messages are a useful method of data collection to examine the clinical course of LBP in the primary care sector.
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| 6. |
- Axén, Iben, et al.
(författare)
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Using few and scattered time points for analysis of a variable course of pain can be misleading : an example using weekly text message data
- 2014
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Ingår i: The spine journal. - : Elsevier. - 1529-9430 .- 1878-1632. ; 14:8, s. 1454-1459
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Tidskriftsartikel (refereegranskat)abstract
- Background context: Because low back pain (LBP) is a fluctuating condition, the diversity in the prediction literature may be due to when the outcome is measured.Purpose: The objective of this study was to investigate the prediction of LBP using an outcome measured at several time points.Study design/setting: A multicenter clinical observational study in Sweden.Patient sample: Data were collected on 244 subjects with nonspecific LBP. The mean age of the subjects was 44 years, the mean pain score at inclusion was 4.4/10, and 51% of the sample had experienced LBP for more than 30 days the previous year.Outcome measures: The outcome used in this study was the “number of days with bothersome pain” collected with weekly text messages for 6 months.Methods: In subjects with nonspecific LBP, weekly data were available for secondary analyses. A few baseline variables were chosen to investigate prediction at different time points: pain intensity, the presence of leg pain, duration of LBP the previous year, and self-rated health at baseline. Age and gender acted as additional covariates.Results: In the multilevel models, the predictive variables interacted with time. Thus, the risk of experiencing a day with bothersome LBP varied over time. In the logistic regression analyses, the predictive variable's previous duration showed a consistent predictive ability for all the time points. However, the variables pain intensity, leg pain, and self-rated health showed inconsistent predictive patterns.Conclusions: An outcome based on frequently measured data described the variability in the prediction of future LBP over time. Prediction depended on when the outcome was measured. These results may explain the diversity of the results of the predictor studies in the literature.
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| 7. |
- Bergström, Cecilia, et al.
(författare)
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Using a psychosocial subgroup assignment to predict sickness absence in a working population with neck and back pain
- 2011
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Ingår i: BMC Musculoskeletal Disorders. - : BioMed Central. - 1471-2474. ; 12
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Tidskriftsartikel (refereegranskat)abstract
- Background: The overall objective was to evaluate the predictive validity of a subgroup classification based on the Swedish version of the MPI, the MPI-S, among gainfully employed workers with neck pain (NP) and/or low back pain (LBP) during a follow-up period of 18 and 36 months.Methods: This is a prospective cohort study that is part of a larger longitudinal multi-centre study entitled Work and Health in the Process and Engineering Industries (AHA). The attempt was to classify individuals at risk for developing chronic disabling NP and LBP. This is the first study using the MPI-questionnaire in a working population with NP and LBP.Results: Dysfunctional individuals (DYS) demonstrated more statistically significant sickness absence compared to adaptive copers (AC) after 36 months. DYS also had a threefold increase in the risk ratio of long-term sickness absence at 18 months. Interpersonally distressed (ID) subgroup showed overall more sickness absence compared to the AC subgroup at the 36-month follow-up and had a twofold increase in the risk ratio of long-term sickness absence at 18 months. There was a significant difference in bodily pain, mental and physical health for ID and DYS subgroups compared to the AC group at both follow-ups.Conclusions: The present study shows that this multidimensional approach to the classification of individuals based on psychological and psychosocial characteristics can distinguish different groups in gainfully employed working population with NP/LBP. The results in this study confirm the predictive validity of the MPI-S subgroup classification system.
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| 8. |
- Bergström, Gunnar, et al.
(författare)
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A 7-year follow-up of multidisciplinary rehabilitation among chronic neck and back pain patients : Is sick leave outcome dependent on psychologically derived patient groups?
- 2010
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Ingår i: European Journal of Pain. - : Elsevier. - 1090-3801 .- 1532-2149. ; 14:4, s. 426-433
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Tidskriftsartikel (refereegranskat)abstract
- A valid method for classifying chronic pain patients into more homogenous groups could be useful for treatment planning, that is, which treatment is effective for which patient, and as a marker when evaluating treatment outcome. One instrument that has been used to derive subgroups of patients is the Multidimensional Pain Inventory (MPI). The primary aim of this study was to evaluate a classification method based on the Swedish version of the MPI, the MPI-S, to predict sick leave among chronic neck and back pain patients for a period of 7 years after vocational rehabilitation. As hypothesized, dysfunctional patients (DYS), according to the MPI-S, showed a higher amount of sickness absence and disability pension expressed in days than adaptive copers (AC) during the 7-years follow-up period, even when adjusting for sickness absence prior to rehabilitation (355.8days, 95% confidence interval, 71.7; 639.9). Forty percent of DYS patients and 26.7% of AC patients received disability pension during the follow-up period. However, this difference was not statistically significant. Further analyses showed that the difference between patient groups was most pronounced among patients with more than 60days of sickness absence prior to rehabilitation. Cost-effectiveness calculations indicated that the DYS patients showed an increase in production loss compared to AC patients. The present study yields support for the prognostic value of this subgroup classification method concerning long-term outcome on sick leave following this type of vocational rehabilitation.
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| 9. |
- Bergström, Gunnar, et al.
(författare)
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Capacitive biosensor for detection of toxicity biomarkers
- 2015
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Annan publikation (övrigt vetenskapligt/konstnärligt)abstract
- Microfluidic devices are rapidly gaining importance for in vitro toxicity testing. Biomarker detection in microfluidic assays are however challenging due to small sample sizes and low analyte concentration. Capacitive electrochemical biosensors have been reported to have high sensitivity and properties that are amenable for implementation into microfluidic devices.In this work a biosensor application for troponin T (TnT) is presented. The sensor showed linear response to analyte over five orders of magnitude with the lowest detectable signal at 10-13 M. The sensor proved to be able to detect TnT spiked in cell culture media at concentrations relevant for cell cultures.
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| 10. |
- Bergström, Gunnar, 1934
(författare)
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CE: Chemical Ecology as Cultural Evolution
- 2014
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Ingår i: Journal of chemical ecology. - : Springer Science and Business Media LLC. - 1573-1561 .- 0098-0331. ; 40:4, s. 317-318
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Tidskriftsartikel (refereegranskat)
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