gms | German Medical Science

GMS Psycho-Social-Medicine

Corporate journal of German scientific societies in psychosocial medicine

ISSN 1860-5214

The assessment of mood at workplace - psychometric analyses of the revised Profile of Mood States (POMS) questionnaire

Die Erfassung der Befindlichkeit am Arbeitsplatz - Testung einer modifizierten Version des POMS

Research Article

  • corresponding author Matthias Morfeld - Psychology of Rehabilitation, University of Applied Sciences, Magdeburg and Stendal, Stendal, Germany
  • Corinna Petersen - Institute of Medical Psychology, University Hospital Hamburg-Eppendorf, Hamburg, Germany
  • Anja Krüger-Bödeker - Institute of Medical Psychology, University Hospital Hamburg-Eppendorf, Hamburg, Germany
  • Sylvia von Mackensen - Institute of Medical Psychology, University Hospital Hamburg-Eppendorf, Hamburg, Germany
  • Monika Bullinger - Institute of Medical Psychology, University Hospital Hamburg-Eppendorf, Hamburg, Germany

GMS Psychosoc Med 2007;4:Doc06

The electronic version of this article is the complete one and can be found online at:

Published: May 10, 2007

© 2007 Morfeld et al.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( You are free: to Share – to copy, distribute and transmit the work, provided the original author and source are credited.


With the Profile of Mood States (POMS), a German version of an international instrument for the assessment of mood is available. The paper introduces a new short version containing 24 items and four scales. In a study about indoor climate in 4596 office workers only a few missing values were noted. Psychometric analyses showed very good characteristics of the four scales regarding their internal consistency (Cronbach’s α) and scale fit. High floor effects indicated a limited exhaustion of the scale range. Age and gender effects of the scale scores concerned the scales “vigour” and “fatigue”. Furthermore, the scales of the POMS discriminated between groups with different self-reported disease incidences. A less beneficial characteristic of the POMS could be noted in terms of a high correlation of the scales “numbness” and “fatigue". With the tested version of the POMS, a short instrument with good psychometric properties has been presented which can be assessed in healthy as well as in health-impaired persons.


Mit dem Profile of Mood States (POMS) liegt ein internationales Instrument zur Erfassung der psychischen Befindlichkeit in deutscher Version vor. Im Beitrag wird eine neue Kurzversion bestehend aus 24 Items und vier Skalen vorgestellt. In einer Untersuchung zum Innenraumklima an 4596 Büroangestellten wurden nur wenige fehlende Werten verzeichnet. Die psychometrische Analyse zeigte sehr gute Eigenschaften der vier Skalen hinsichtlich ihrer internen Konsistenz (Cronbach’s α) und Skalenfit. Hohe Bodeneffekte weisen auf eine nur begrenzte Ausschöpfung der Skalenspannweite hin. Alters- und Geschlechtseffekte auf die Skalenwerte betrafen nur die Skalen „Tatendrang“ und „Müdigkeit“. Darüber hinaus diskriminieren die Skalen der POMS zwischen Gruppen mit unterschiedlich stark ausgeprägten selbstberichteten Krankheitshäufigkeiten. Eine weniger günstige Eigenschaft des POMS zeigt sich dahingehend, dass die Skalen „Benommenheit“ und „Müdigkeit“ eine hohe Korrelation aufweisen. Mit der geprüften Version des Profile of Mood States wird ein kurzes Instrument mit guten psychometrischen Eigenschaften vorgestellt, das sowohl bei gesunden wie auch bei in der Befindlichkeit eingeschränkten Personen eingesetzt werden kann.


The assessment of mood is an important indicator for the evaluation of short-term intervention effects. The Profile of Mood States (POMS) is a widespread instrument which measures mood. The measure was developed in the USA [1] and is a self-report questionnaire. The POMS is mainly used in the context of clinical psychology, psychotherapy, medicine and sports science. In the clinical context it was used in the field of cardiology [2], oncology [3], neurology and HIV research [4]. Originally, the POMS included sixty five items which load on seven different scales: “depression”, “anxiety”, “fatigue”, “vigour”, “irritability”, “tension”, and “confusion”. The questions refer to the time period of the “last week including today”. The response scale is divided into five categories ranging from “not at all” to “very strong”. Biehl et al. [1], [5] translated the questionnaire into German and presented the first psychometrical analysis. The results underlined a high accordance of the German and the American version. In addition to the long version, a short form of the POMS is available. The thirty five items load on four scales (“depression/anxiety”, “fatigue”, “vigour”, “irritability”) [6]. For the development of the short form, the scales “confusion” and “tension” were omitted and the scales “anxiety” and “depression” were combined into one scale. The short version refers to the “last 24 hours” or the “last week”. The answer scale is divided in seven categories. Table 1 [Tab. 1] gives an overview of scales and items.

Originally, the short version with 35 items was used by Bullinger et al. [7] in 143 healthy employees. The results indicated a satisfying factorial validity and internal consistency of α=.90. Nyenhuis & Yamamoto [8] used the POMS in 400 healthy adults and 170 geriatric patients. The authors reported a good concordance with the depression and anxiety instruments Beck Depression Inventory (BDI) [9] and State-Trait Anxiety Inventory (STAI) [10], respectively. The study presented here examines the psychometric properties of the German POMS short version and is part of a bigger study investigating the Sick-Building-Syndrome (SBS), the physical, biological, chemical environment variables of office buildings as well as the mood of the employees. All employees working in the included office buildings were interviewed. For those interviews a short instrument to evaluate the specific mood reductions was needed that we hypothesized to be related with the SBS. To our knowledge the POMS currently represents the only suitable instrument to appropriately measure mood-related SBS symptoms. Moreover, the results could give a good indication regarding workplace-related well-being.

Previous studies indicated good psychometric results for the POMS. Its briefness and multidimensionality are advantageous for research. However, thus far comprehensive norm samples and comparison values are lacking. Therefore, it is necessary to psychometrically evaluate the German version of the questionnaire in order to have at hand comparison values. Furthermore, with regard to the application of the measure in empirical studies, a reduction of the 35-item version seemed possible.

The work presented here is based on an environmental, epidemiological research project analysing the SBS. The POMS was given to 4596 employees directly at their workplace [11]. The objective of our substudy was to test the short form of the POMS and to consider whether another scale (“numbness”) in this context could be useful to evaluate mood of office workers. In addition, the seven categories answer scale was converted to five categories. In a German pilot study Bullinger et al. [7] showed that no additional information was gained by using a seven categories answer scale compared to a five categories scale. In addition, the scale “mental health” of the SF 36 Health Survey was integrated in the POMS instrument [12]. In order to allow for better comparison, scale scores were recoded in the same direction. Higher scores are associated with a lower quality of life.


In total, 14 office buildings in Germany in different environments and functions were included in this study. The employees were interviewed about their mood. The included buildings are representative for the most popular indoor air condition systems (7 from 14), the other seven buildings represented the type of “natural” air condition (no mechanic climatisation, windows which can be opened).

Study design

This study is a long-term study with two measurement time points. Here, only the first measurement time point, at which all employees working in the building were interviewed, will be presented. For the selection of the second sample we used a so-called sensory list to identify the 60 most and least affected employees in order to question them again. For psychometric testing and an observation of measure repetitions, the selection procedure was too specific to yield interpretable results. Moreover, the sample would have been reduced significantly.


In the application of the POMS, the scale “depression”, “fatigue”, “vigour”, and “irritability” were kept. Following the assumption that SBS is associated with “numbness”, a new scale was developed based on the literature [7], [13]. This scale consists of three items (“slowed down”, “chippy”, “dazed”). In addition, the 35 items of the POMS were reduced to 24. This reduction was based on expert opinion and term of content criteria. The persons tested were given the modified POMS version with the initial question: “How do you feel today during work?“. The items are defined from 1 to 5 (“not at all”, “a little”, “moderatly”, “quite a bit”, and "extremly”, respectively). Table 2 [Tab. 2] shows the applied instruments. In addition, sociodemografic characteristics were assessed.


Table 3 [Tab. 3] presents the characteristics of the sample (n=4596 office workers) investigated in this study.

The majority of the employees were female (55.7%). Most of the interviewed persons were either married and/or were living together with a partner or their family (79%).

Data analysis

For the German version of the POMS item characteristics, floor- and ceiling effects, reliability, and discriminant and convergent validity were analysed. The statistical analyses were conducted with SPSS (Statistical Package for the Social Sciences) and MAP (Multi-Trait-Multi-Item-Analysis-Program) from Hays et al. [14]. The MAP program enables to confirm a postulated scale structure. The MAP-program provides an item analysis, scale intercorrelations which give details about the internal consistency (Cronbach’s α), as well as a scale-fit. The scale-fit refers to the percentage of the items which correlate higher with their scale than with others. The best score would be 100%. Age and sex differences were examined with an analysis of variance. For group differences, effect sizes were calculated and described. The convergent validation was investigated with the POMS scales and the subscale “vegetative” of the SBS-specific sensory list and the scale “mental health” of the SF-36 and finally, the scale “work load”. For discriminant validation it was tested if there were differences between self-reported healthy and ill employees. A sum score for the scales “irritability”, “fatigue” and “vigour” was calculated, when five items were answered. For the scale “numbness” the score was only calculated when three items were answered. Replacement of missing data was not performed.


Missing data

The percentage of missing data differs between 4.1% for the scale “fatigue” and 4.6% for the scales “vigour” and “irritability”. In a distribution analysis we examined, if the missing data were attributed to sociodemografic data or other psychosocial criteria (see Table 4 [Tab. 4]).

Table 4 [Tab. 4] shows that women, elderly employees and persons with a low educational background are less likely to report details of their mood. Pertaining to the question, if aspects like burden of distress, life satisfaction or -importance, professional and vital exhaustion or causal attribution had an influence on the existence of missing data, no differences were found. Merely for the scales “vigour” and “irritability” significant differences were found between missing and usable data with regard to the scale professional exhaustion.

Item characteristics and reliability

Table 5 [Tab. 5] illustrates the essential psychometric characteristics of the POMS scales. For all scales a satisfying reliability could be achieved. Based on the observation of high bottom effects of the “irritability”, “numbness” and “fatigue” scales, we conclude that only a small number of persons scored high on theses scales. On the other hand, ceiling effects were low. As an indicator of correct item-scale-assignment measurement, the scale fit should ideally reach 90%-100%. This was achieved for all scales.

Age- and sex effects

As shown in Figure 1 [Fig. 1], differences regarding age groups were mainly observed for the scales “vigour” and “fatigue”. The post-hoc analyses showed that for both scales the effects can mainly be explained by differences between the age groups <20 and 21-30 years and all other age groups. This result is also supported by the effect sizes (taken the younger age group as the basis). The strongest effects above 0.9 were detected for the scale “fatigue” between the youngest and the oldest age group. For the scale “vigour” the effects were all on an intermediate level. Effects on the scales “irritability” and “numbness” were low (see Figure 1 [Fig. 1]).

We also examined sex-effects on the POMS scales (see Figure 2 [Fig. 2]). Although, there was a significant difference between the sexes regarding “mood”, we have to emphasize that significance tests are highly susceptible to sample size. The examination of the sex effects showed that they were small (d=-0.4; 0.2; -0.1; 0.02).

Scale intercorrelations

Table 6 [Tab. 6] describes the scale intercorrelations (Pearson's r). For the scale “vigour”, a high score was associated with a high vigour. The correlations were very high. This can particularly be noted for the correlation between “numbness” and “fatigue”.

Convergent validity

For the evaluation of the convergent validity, Spearman correlations between the “vegetative” of the SBS-specific sensory list, “mental health” of the SF-36 [12], “professional and vital exhaustion” of the IRES (Indicators of Reha-Status) [15], professional work load [16], “internal” and “external locus of control” [17] and “life satisfaction und -importance” [18] scales were calculated. As Table 7 [Tab. 7] shows, the scales “vegetative” and “mental health” correlated highly with the POMS. High scores in “vigour” were, for example, correlated with low scores in mental ill-feeling (r=-.75).

Discriminant validity

For the evaluation of the discriminant validity, we used the self-reported statements of the employees regarding possible chronically health conditions. The employees were given a list with fifteen possible diseases. They were asked if they have none, one ore more diseases. To have more or less the same sample sizes within the groups, we merged the health conditions into four categories. Employees, who reported having no disease (35.8%) or a single health condition (25.1%), were left as independent categories. Persons who claimed that they had at least two and not more than four health conditions were merged into one category (32.3%). The final group encompassed all other employees (6.7%). To indicate, if there were possible discriminat differences between the groups with regard to POMS scales, an analysis of variance was performed and effect sizes calculated. It can be seen that the physical well-being differed among disease groups. Essentially, the differences were found between the group with four diseases and the group without any disease (see Figure 3 [Fig. 3] and Figure 4 [Fig. 4]).


The POMS is a wide-spread instrument to measure psychological well-being. A current problem is the different usage of the number of items and their scale assignment. The German adaptation of the American version by Biehl et al. [5] was seldom used in empirical studies. More often, different short forms were applied. A psychometric evaluation of these versions is currently not available. Only Bullinger et al. [7] suggested a short version and tested it psychometrically. The version reported here represents a further reduced version. It was tested in a big sample of over 4000 healthy employees. The analyses of missing data showed that women, elderly and persons with a low educational background are less likely to answer the questions. Furthermore, the differences regarding the missing data on the scales “vigour” and “irritability” can be associated to higher professional strain. Altogether, the differences between groups were not very high, so that we cannot conclude that the POMS can be used in all of these groups. Especially, in terms of internal consistency we found excellent results. Also the scale fit indicates an optimal item-scale-assignment. Solely bottom effects pointed towards a limited utilization of the scale width. These effects were not found for the positively formulated scale “vigour”. This might be related to the fact that healthy persons at their workplace reported more vigour than irritability, fatigue or numbness. Age and sex effects can only be reported for the scales “vigour” and “fatigue”. But the effects were very low, so that we can say that this version of the POMS can be used for both sexes and all ages.

Especially noteworthy are the high intercorrelations between the scales “numbness” and “fatigue”. This suggests that both scales assess similar dimensions. Another methodical examination may be necessary in order to examine the content of the scales. The analyses of the convergent validity showed that the dimensions of the POMS cover independent dimensions and correlate only slightly with similar dimensions. It needs to be stressed, that there is a limitation in a methodical point of view regarding the interpretation due to multiple testing. Analyses indicated some intersections of the applied instruments regarding psychological well-being. Deviations were noticed, when we referred to work-place related mood. In the view of the authors, the suggested version of the POMS is an appropriate and usable addition to other instruments.

The comparison of groups, which reported differently about their health conditions, indicated that the POMS and especially the scales “fatigue”, “irritability” und “numbness” are helpful to describe different levels of severity or prevalence. Completing the adjectives list took the tested persons not long. However, it needs to be considered that two of the four scales may measure similar dimensions. Nonetheless, the tested version of the POMS is a helpful measure for assessment in the work place context and doesn’t require much assessment effort. With regard to the contents our results are in accordance with other instruments focussing on work load. Thus, the POMS is especially suitable for the examination of questions that are related to the work-place environment, not only in relation to SBS, but also of work-place health promotion.


Conflicts of interest

None declared.


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