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. 2023 Jul 18;18(7):e0288751. doi: 10.1371/journal.pone.0288751

Work-related stress, reason for consultation and diagnosis-specific sick leave: How do they add up?

Anna-Maria Hultén 1,*, Kristina Holmgren 1, Pernilla Bjerkeli 2
Editor: Ramune Jacobsen3
PMCID: PMC10353798  PMID: 37463145

Abstract

Work-related stress is common in Western society and disorders associated with stress are often managed in primary health care. This study was set to increase the understanding of the relationship between reason for consultation, work-related stress and diagnosis-specific sick leave for primary health care patients. The longitudinal observational study included 232 employed non-sick listed patients at seven primary health care centres in Sweden. Of these patients, 102 reported high work-related stress, as measured with the Work Stress Questionnaire, and 84 were on registered sick leave within one year after inclusion. The study showed that, compared to those who did not report high work-related stress, highly stressed patients more often sought care for mental symptoms (60/102 versus 24/130), sleep disturbance (37/102 versus 22/130) and fatigue (41/102 versus 34/130). The risk for sick leave with a mental diagnosis within a year after base-line was higher among patients reporting high work-related stress than among those who did not (RR 2.97, 95% CI 1.59;5.55). No such association was however found for the risk of sick leave with a musculoskeletal diagnosis (RR 0.55, 95% CI 0.22;1.37). Seeking care for mental symptoms, sleep disturbance and fatigue were associated with having a future mental sick leave diagnosis (p-values < 0.001), while seeking care for musculoskeletal symptoms was associated with having a future musculoskeletal sick leave diagnosis (p-value 0.009). In summary, compared to those who did not report high work-related stress, patients with high work-related stress more often sought care for mental symptoms, sleep disturbance and fatigue which lead to a mental sick leave diagnosis. Reporting high work-related stress was, however, not linked to having sought care for musculoskeletal symptoms nor future sick leave due to a musculoskeletal diagnosis. Hence, both patients and general practitioners seem to characterize work-related stress as a mental complaint.

Introduction

Stress, and especially work-related stress, is prevalent in the general population [1] and even more so among primary health care patients [2, 3]. Consequently, disorders that are associated with stress, such as depression, anxiety and stress-related disorders, are often managed within primary health care and the utilization of mental health care provided by primary health care has increased [4]. A common measure taken by general practitioners (GPs) to treat ill health due to stress and to handle reduced work capacity is to prescribe sick leave [5, 6]. Hence, the high prevalence of work-related stress among primary health care patients is reflected in the large number of individuals receiving sickness benefit with a mental disorder or a musculoskeletal disease [7, 8]. In addition, the extent of sick leave is higher among employees on sick leave due to self-reported mental health problems compared to employees on sick leave due to other health reasons [9]. With this in mind, it is important to identify patients that could benefit from preventive measures in order not to risk long-term ill health and sick leave due to work related stress. A step in that direction is to understand the association between work-related stress, reason for consultation and sick leave diagnosis among primary health care patients.

In this study, work-related stress, reason for consultation and sick leave diagnosis are seen as parts of an illness-sickness-sick leave trajectory. Two underlying classification processes are important for the trajectory: the diagnosis process performed by the GP and the sick leave process handled by the sickness insurance officer and the GP [10]. The diagnosis process is ideally based on the GP’s medical interpretation of the patient’s anamnesis, risk factors, and symptoms [10, 11]. In addition, the patient’s reason for consultation has to be considered, since this can lead to different responses, diagnoses and management of diagnoses between GPs [12, 13]. Both the reason for consultation and the symptoms described by the patient are especially important for diagnoses when there are few or no clinical findings, as for mental disorders and musculoskeletal diseases such as musculoskeletal pain. Another important circumstance when diagnosing is that neither the patient nor the GP might be aware of or express that the symptoms could be stress-related [3, 14]. However, in Sweden it is not the diagnosis as such, but the limitation in the patient’s work capacity due to a disease or an injury that is the basis for the decision of whether a sick leave certificate is to be issued or not [15]. Even so, to support the decision of issuing sick leave, the National Board of Health and Welfare has authored recommendations on the assessment of work capacity for various diagnoses [15], thereby indirectly linking diagnosis to sick leave [16].

The International Classification of Diseases (ICD) is used globally in health care to classify and statistically describe sickness and health issues [17]. In Sweden, the ICD is widely used in outpatient and inpatient care, health insurance and occupational health care for information, communication and in registers as well as for business description and quality controls [18]. Work-related stress can be defined as “the response people may have when presented with work demands and pressures that are not matched to their knowledge and abilities and which challenge their ability to cope” [19]. Although stress is not classified as a disease or a disorder, being exposed to stressors or perceiving stress at work has been associated with adjustment disorder, major depressive disorder, generalized anxiety disorder [20, 21], gastrointestinal disorders [22], self-reported musculoskeletal pain [23], eczema [24] and coronary heart disease [25]. Therefore, several of the chapters included in the ICD are relevant when studying negative health effects associated with work-related stress.

Individuals who work in Sweden are included in the Swedish social insurance system and thereby entitled to work-based benefits. When an individual becomes ill, the employer is responsible for paying sick pay to the employee during the first 14 days of sickness with one qualifying day. If the work capacity continues to be impaired due to the sickness after 14 days, sickness cash benefits are handled by the Swedish Social Insurance Agency. From day eight of a sickness period, a medical certificate issued by a doctor is needed to certify that the work capacity is reduced. The certificate holds information on diagnosis, disability, activity limitation and work capacity as well as information on prognosis, treatment and measures to facilitate return to work. The information in the medical certificate forms the basis for the Swedish Social Insurance Agency’s decision on sick leave. Approximately 625,000 Swedes (corresponding to 6% of the population) received sickness cash benefit on some occasion during 2016 [26], that is the year the follow up data for this this study was collected. Mental disorders were the most common type of diagnoses with the highest frequency among women (53%) and persons under fifty years of age. Musculoskeletal conditions were also common, especially among men (24%) and persons above fifty years of age [26].

The overall consensus is that the employee’s cognitive, emotional and behavioural reaction to the social and organizational work context is important for staying healthy or becoming sick [2733]. Herein, proximal job task characteristics, such as work pace and repetitive tasks, to labour market arrangements can affect the risk of perceiving work-related stress and ill health thereof [3436]. Due to this complexity, different general social and organisational work characteristics such as efforts, demands, decision authority and organisational justice have been used as summative measures of the psychosocial risk factors at work [30], often in relation to a stress theory [35]. Even so, findings show that other factors also have to be accounted for. For instance, having a high degree of personal commitment to work whilst also perceiving the extrinsic aspects of work as stressful can affect future mental health and sick leave negatively [29, 37]. In addition, the interference between an individuals’ working life and private life is a risk factor for later sick leave [38]. Further, job control reduces sick leave directly, but also indirectly through motivation [39]. In this study, the social and organizational conditions at work as well as personal commitment and interference between work and leisure time were therefore seen as important for when and to what extent individuals perceive stress to a level exceeding their room for manoeuvre and capacity to cope and thereby also for the association between work-related stress and sick leave.

In view of the above, the overall aim of this study was to understand the relationship between reason for consultation, work-related stress and diagnosis-specific sick leave for primary health care patients seeking care for mental and physical health complaints. By focusing on mental disorders and musculoskeletal diseases it was possible to include the most important diagnosis groups for stress-related ill health, whilst also including the majority of the certificates issued [8, 40]. The study was designed to answer the following research questions concerning primary health care patients of working age seeking care for mental and/or physical health complaints (see Fig 1 for summary):

Fig 1. Summary of the four associations and the related research questions (RQ 1–4).

Fig 1

Number 1–3 describe the bivariate associations, while number 4 includes all three variables (work-related stress, reason for consultation and diagnosis-specific sick leave).

  • How is the patient’s reason for consultation related to the level of self-reported work-related stress?

  • Is the level of self-reported work-related stress at baseline associated with being sick listed with a future mental or a musculoskeletal sick leave diagnosis in the following 12 months?

  • Is the reason for consultation at baseline associated with being sick listed with a future mental or a musculoskeletal sick leave diagnosis in the following 12 months?

  • Are there differences in the association between reason for consultation and future sick leave diagnosis for patients perceiving high versus low work-related stress?

Materials and methods

The associations between work-related stress, as measured with the Work Stress Questionnaire (WSQ) [41], reason for consultation and diagnosis-specific sick leave were investigated for primary health care patients in the Västra Götaland region in Sweden in this prospective longitudinal observational study with initial cross-sectional analysis.

Setting and study population

The study was conducted at seven primary health care centres located in both urban and rural areas of the region (Table 1). Included in the study were primary health care patients participating in a randomized controlled trial (RCT) (ClinicalTrials.gov, identifier: NCT02480855, ethical approval 125–15 from the Regional Ethical Review Board in Gothenburg, Sweden). The RCT aimed to evaluate the effectiveness of a brief intervention targeting primary health care patients seeking care for mental and physical health complaints [42]. Based on three outcome evaluations, the brief intervention showed no effect on the number of self-reported or the number of registered sick leave days [4345]. Hence, the data collected in the RCT were considered useful in this longitudinal observational study to analyse the relationship between factors observed at baseline and future sick leave without regard to the intervention given.

Table 1. Primary health care centre characteristics and inclusion of participants.

Primary health care centre Primary health care patients
No. Provision Location1 Eligible Declined Ex-cluded2 Included in RCT Included in study3
1 Public Accessible small town 103 10 6 87 79
2 Public Accessible rural area 9 0 1 8 8
3 Private Large urban area 20 2 0 18 18
4 Public Other urban area 57 3 3 51 42
5 Public Accessible small town 30 0 1 29 23
6 Public Other urban area 48 3 1 44 34
7 Private Large urban area 36 2 0 34 28
Total 303 20 12 271 232

1 Classified according to the Urban Rural classification [46].

2 Patients who gave their consent to participate, but was not included in the RCT due to logistic reasons.

3 Patients who completed the Work Stress Questionnaire.

Patients included had to be employed, non-sick-listed, 18–64 years of age and seeking care for mental and/or physical health complaints. These complaints included depression, anxiety, musculoskeletal disorders, gastrointestinal and cardiovascular symptoms as well as other symptoms that could be stress-related. In addition, the questionnaire assessing work-related stress had to be completed. Therefore, 232 patients participated in the study in hand (Table 1). Patients seeking care for other reasons such as diabetes, infections, fractures, lumps and spots, allergy, psychoses and medical check-ups were excluded. Pregnant women, patients currently on sick leave and those who had been on sick leave for 7 days or more during the last month as well as those with a disability pension were also excluded. Baseline data were collected from May 2015 to January 2016. The patients were given oral and written information about the trial. In addition, written informed consent for participating in the trial was provided.

Data sources

When seeking care at the primary health care centre, the patients filled out a questionnaire to provide baseline data on self-assessed work-related stress, reason for consultation and background characteristics. Sick leave data were retrieved from the national database MiDAS (Micro Data for Analysis of Social Insurance), which is held by the Swedish Social Insurance Agency. The database includes information on all sick leave spells exceeding 14 days issued in Sweden. In this study, data on the patients’ sick leave diagnoses were retrieved for each spell of sick leave exceeding 14 days within 12 months of inclusion.

Variables

Work-related stress

The WSQ [41] was used to assess the individual’s own perception of having stressors and the levels of work-related stress thereof. The questionnaire includes 21 items with 14 appended items covering personal characteristics as well as the working and private life, to capture the work situation (S1 Appendix). The items are grouped in four dimensions:

  • Influence at work, captures the employee’s possibilities to influence the performance of work tasks as well as the work situation in general (item 1–4). The four items are answered on four-point ordinal scale scales with response alternatives ‘Yes, always’, ‘Yes, rather often’, ‘No, seldom’ and ‘No, never’;

  • Perceived stress due to indistinct organization and conflicts, contains questions concerning work load, the clarity of goals, roles and assignments as well as involvement and handling of conflicts. If experiencing any indistinct organization or conflicts (item 5a–11a), the perceived stress thereof (item 5b–11b) is answered on four-point ordinal scales with response alternatives ‘Not at all stressful’, ‘Less stressful’, ‘Stressful’, and ‘Very stressful’;

  • Perceived stress due to individual demands and commitment contains questions concerning for example putting on too much pressure, working beyond working hours and setting limits. If experiencing any individual demands and commitment (item 12a–18a), the perceived stress thereof (item 12b–18b) is answered on four-point ordinal scales with response alternatives ‘Not at all stressful’, ‘Less stressful’, ‘Stressful’, and ‘Very stressful’;

  • Work to leisure time interference, captures how time spent with nearest, friends and recreational activities is affected by work (item 19–21). The three items are answered on four-point ordinal scale with response alternatives ‘Yes, always’, ‘Yes, rather often’, ‘No, seldom’ and ‘No, never’.

The face validity and the test-retest reliability of the questionnaire have been tested for women and men separately and found satisfying [41, 47].

Based on the patient’s score for each item, a median value for each of the four dimensions was calculated as described in the WSQ instructions (S1 Appendix). The median values were then dichotomized into high and low exposure with the value 2.0 as a cut-off. Earlier research [3, 48] have shown that having work-related stressors or perceiving stress thereof within multiple areas could increase the odds of future sick leave. The number of dimensions indicating high work-related stress was therefore used as a summative value of the exposure to work-related stress. The work-related stressors and stress were operationalized with five measures:

  • Influence at work (dimension 1, item 1–4) was summarized in two categories based on the median value: low, > 2 (No, never or No, seldom) and high, ≤ 2 (Yes, often or Yes, always);

  • Perceived stress due to indistinct organization and conflicts (dimension 2, item 5b–11b) was summarized in two categories based on the median value: high, > 2 (Stressful or Very stressful) and low, ≤ 2 (not experienced, Not stressful or Less stressful);

  • Perceived stress due to individual demands and commitment (dimension 3, item 12b–18b) was summarized in two categories based on the median value: high, > 2 (Stressful or Very stressful) and low, ≤ 2 (not experienced, Not stressful or Less stressful);

  • Work to leisure time interference (dimension 4, item 19–21) was summarized in two categories based on the median value: high, > 2 (Yes, often or Yes, always) or low, ≤ 2 (no, never or no, seldom);

  • The number of dimensions indicating high stress was summarized in the two categories: having 0–1 dimension with median value > 2 and having 2–4 dimensions with median value > 2.

Reason for consultation

The reason for consultation was captured with the question, ‘What complaints are you seeking care for today?’. Fifteen response alternatives were given, including a free text response, and multiple answers were possible. Seven dichotomized measures were formulated based on these responses:

  • Seeking care for mental symptoms including stress, anxiety, depression and other mental symptoms (yes or no).

  • Seeking care for musculoskeletal symptoms including neck, shoulder and other musculoskeletal symptoms (yes or no).

  • Seeking care for sleep disturbance (yes or no).

  • Seeking care for fatigue (yes or no).

  • Seeking care for gastrointestinal symptoms (yes or no).

  • Seeking care for cardiovascular symptoms (yes or no).

  • Seeking care for other symptoms (yes or no).

Diagnosis-specific sick leave

The main sick leave diagnosis included in the sickness certificate was coded according to the Swedish version of the International Classification of Diseases, 10th Revision (ICD-10) [18]. The diagnosis-specific sick leave was characterized with the following measure:

  • Sick leave with mental diagnosis, defined as having had at least one spell of registered sick leave (>14 days long) with a mental diagnosis (ICD-10, chapter F) within 12 months after baseline (yes or no).

  • Sick leave with musculoskeletal diagnosis, defined as having had at least one spell of registered sick leave (>14 days long) with a musculoskeletal diagnosis (ICD-10; chapter M) within 12 months after baseline (yes or no).

Cases with rehabilitation benefits and preventive sickness benefits were excluded.

Background variables

The background variables were selected to describe the individual’s demographics, socioeconomic position, sick leave history and terms of employment.

  • Sex was measured as a nominal variable with the two categories women and men.

  • Age was measured as a continuous variable and then transformed into an ordinal variable with the three age groups 18–30, 31–50 and 51–64 years of age.

  • Educational level was measured as an ordinal variable with the alternatives elementary school not completed, elementary school, high school 2 years, high school 3–4 years, university less than 3 years and university 3 years or more. The categories were then summarized in the two categories university and others.

  • Occupational class was measured as a nominal variable with three categories; high-level non-manual, medium/low non-manual and skilled/unskilled manual. The categorization of the respondent’s occupation was performed according to Statistics Sweden’s socioeconomic classification of persons in the labour force [49].

  • Marital status was measured as a nominal variable with three categories and then summarized in two categories: not single (married/cohabitant or living apart) and single.

  • Previous registered sick leave was chosen to represent the sickness status before the study and it was quantified with the measure: Having had a spell of sick leave exceeding 14 days in the year before baseline (yes or no).

  • Employer was measured as a nominal variable with six categories and then summarized in the two categories public employer and private employer.

Statistical analyses

Descriptive statistics were used to summarize the socio-demographics, the sickness history and the terms of employment for the total study population as well as for patients with high work-related stress. The Pearson chi-squared test was then used to evaluate the association between reason for consultation and work-related stress (research question 1) and the association between future mental or a musculoskeletal sick leave diagnosis and self-assessed work-related stress (research question 2). In addition, the relative risks (RR) for future mental or musculoskeletal sick leave diagnoses were calculated for patients perceiving high compared to low work-related stress (research question 2). The association between the reason for consultation and sick leave diagnosis was tested using Pearson chi-squared test for both the study population in total (research question 3) as well as for a stratified sample including patients perceiving high stress (research question 4). Patients perceiving high and low work-related stress were then analysed separately.

Having stressors or perceiving work-related stress in 2–4 WSQ dimensions was used as an indicator of high work-related stress. In general, when 20% or more of the cells in the contingency table had an expected cell frequency under the null hypothesis of less than 5, the Fisher’s exact test was used instead of the Pearson chi-squared test to calculate the association between two variables [34]. Irrespective of analysis, the level of statistical significance was set to p-value ≤ 0.05. The statistical analyses were performed using IBM SPSS Statistics version 25.0.

Results

Background characteristics and work-related stress

As seen in Table 2, the study included 232 primary health care patients of which 153 (66%) were women and 79 (34%) were men. Fifty percent of this working age population were between 31–50 years of age, with an average age of 44 years. In addition, having a university degree or a high school degree was equally common; 44% versus 46%. Moreover, 102 (44%) of the patients worked in the public sector, while 130 (56%) of the patients worked in the private sector. Statistically significant differences for patients reporting high versus low work-related stress were seen in relation to sex (p-value 0.007), with a higher proportion of women reporting high stress, but also in relation to educational level (p-value 0.025), where work-related stress was more frequent among patients with a university degree than among those who did not have a university degree.

Table 2. Background characteristics for the total study population and the subgroup perceiving high work-related stress.

Variable Total High work-related stress1
n % n % p-value2
Total 232 102 44
Sex Women 153 66 77 50 0.007
Men 79 34 25 32
Age 18–30 41 18 17 41 0.639
31–50 117 50 55 47
51–64 74 32 30 41
Educational level3 University 103 44 55 53 0.025
High school 106 46 41 39
Elementary school 22 10 6 27
Occupational class3 High-level non-manual 42 18 20 48 0.503
Medium/low non-manual 100 43 47 47
Skilled/unskilled manual 89 38 35 39
Marital status4 Not single 185 80 78 42 0.176
Single 45 19 24 53
Registered sick leave prior year Yes 28 11 12 43 0.900
No 204 89 90 44
Employer Public 102 44 50 49 0.057
Private 130 56 52 40

1 Perceiving stressors or stress within at least two of the four dimensions included in the Work Stress Questionnaire.

2 Pearson chi-squared test for patients having high compared to low work-related stress.

3 One missing value

4 Two missing values

Reason for consultation and work-related stress

Musculoskeletal symptoms were reported as a reason for consultation by 38% (88/232) patients in the population and almost as many, 36% (84/232) patients, reported mental symptoms as a reason for consultation. The reason for consultation was associated with self-assessed work-related stress. As seen in Table 3, there is a statically significant difference in in the proportion of patients reporting high work-related stress for patients who sought care for mental symptoms such as stress, anxiety and depression compared to those who sought care for other reasons. Such differences were also seen among patients who sought care for sleep disturbance and fatigue.

Table 3. Relationship between symptoms given as reason for consultation and work-related stress (N = 232).

Symptoms1 Total High work-related stress2
n1 % Yes (n, %) No (n, %) p-value3
Total 232 102 (44) 130 (56)
Mental symptoms4 Yes 84 36 60 (71) 24 (29) < 0.001
No 148 64 42 (28) 106 (72)
Musculoskeletal symptoms5 Yes 88 38 34 (39) 54 (61) 0.201
No 144 62 68 (47) 76 (53)
Sleep disturbance Yes 59 25 37 (63) 22 (37) 0.001
No 173 75 65 (38) 108 (62)
Fatigue Yes 75 32 41 (55) 34 (45) 0.023
No 157 68 61 (39) 96 (61)
Gastrointestinal symptoms Yes 45 19 20 (44) 25 (56) 0.943
No 187 81 82 (44) 105 (56)
Cardiovascular symptoms Yes 25 11 11 (44) 14 (56) 0.997
No 207 89 91 (44) 116 (56)
Other symptoms Yes 46 20 23 (50) 23 (50) 0.357
No 186 80 79 (43) 107 (57)

1 Selecting multiple symptoms was optional

2 Perceiving stressors or stress within at least two of the four dimensions included in the Work Stress Questionnaire.

3 Pearson chi-squared test for patients having high compared to low work-related stress.

4 Stress, anxiety, depression and other mental symptoms

5 Neck, shoulder and other musculoskeletal symptoms

Work-related stress and diagnosis-specific sick leave

In the study population, 36% (84/232) were on registered sick leave during the year following baseline. Sixty-nine patients had sick leave linked to one diagnosis, while 11 patients had sick leave linked to 2–3 different diagnoses. In addition, four patients were on sick leave with an unspecified diagnosis. For 40 (48%) of the 84 patients, mental and behavioural disorders such as depression, anxiety and adjustment disorders were reported as a sick leave diagnosis (Table 4). Diseases of the musculoskeletal system and connective tissue such as arthrosis, dorsopathies and soft tissue disorders were reported as a sick leave diagnosis for 20 (24%) of the 84 patients. Twenty-seven patients had a sick leave diagnoses within fourteen other ICD-10 chapters.

Table 4. Frequency of diagnosis-specific sick leave classified according to the International Classification of Diseases, Tenth Revision (ICD-10) within one year of baseline (N = 84).

Sick leave diagnosis (ICD-10 chapter) Category Number of patients1
Mental and behavioural disorder (F00-F99) F19, F32, F33, F41, F43 40
Diseases of the musculoskeletal system and connective tissue (M00-M99) M18, M25, M50, M51, M54, M75, M76, M77, M79 20
Other ICD—chapters (A, B, D, E, G, J, K, L, N, O, R, S, T and Z) 27
Diagnosis missing or unknown 4

1 Patients could have sick leave diagnoses within multiple chapters during 12 months after baseline.

In Table 5, work-related stress is compared to future mental or musculoskeletal sick leave diagnosis. Noteworthy is that 28 (27%) of the 102 patients perceiving stressors and stress within multiple dimensions, had a mental sick leave diagnosis within one year after baseline, while 12 (9%) of the 130 patients perceiving stressors and stress within zero to one dimension, had a mental sick leave diagnosis within one year after baseline. However, 74 (73%) of the 102 patients perceiving stressors and stress within multiple dimensions did not have any future mental sick leave diagnosis. Corresponding findings were seen when studying the dimensions influence at work, high stress due to individual demands and commitment as well as interference between work and leisure. The relative risk for having a future mental sick leave diagnosis when perceiving high work-related stress is also presented in Table 5. Patients perceiving low influence at work, high stress due to demands and commitment or high interference between work and leisure had an increased risk of having a future mental sick leave diagnosis (RR 2.20, 2.82 and 2.06 respectively). However, the largest risk increase was seen among patients perceiving stress within multiple stress dimensions (RR 2.97). Moreover, no statistically significant association or increased risk was seen when comparing work-related stress and future musculoskeletal sick leave diagnosis.

Table 5. Relationship between work-related stress as measured with the Work Stress Questionnaire and future mental sick leave diagnosis or musculoskeletal sick leave diagnosis (N = 232).

Work-related stress Mental sick leave diagnosis
Yes No p-value1 RR (95% CI)2
Total 40 192
Influence at work Low 24 70 0.006 2.20 (1.24;3.92)
High 16 122 1.00
Stress due to organisation and conflicts High 12 37 0.130 1.60 (0.88;2,91)
Low 28 155 1.00
Stress due to demands and commitment High 28 77 0.001 2.82 (1.51;5.27)
Low 12 115 1.00
Work interference with leisure time High 23 69 0.011 2.06 (1.16;3.64)
Low 17 123 1.00
Number of dimensions with high stress 2–4 dim 28 74 < 0.001 2.97 (1.59;5.55)
0–1 dim 12 118 1.00
Work-related stress Musculoskeletal sick leave diagnosis
Yes No p-value 1 RR (95% CI) 2
Total 20 212
Influence at work Low 7 87 0.599 0.79 (0.33;1.91)
High 13 125 1.00
Stress due to indistinct organisation and conflicts High 5 44 0.7743 1.24 (0.48;3.26)
Low 15 168 1.00
Stress due to individual demands and commitment High 8 97 0.621 0.81 (0.34;1.90)
Low 12 115 1.00
Work interference with leisure time High 9 83 0.609 1.24 (0.54;2.89)
Low 11 129 1.00
Number of dimensions with high stress 2–4 dim 6 96 0.188 0.55 (0.22;1.37)
0–1 dim 14 116 1.00

1 Pearson chi-squared test for patients having high compared to low work-related stress

2 Relative risk and 95% confidence interval

3 Fisher’s exact test was used instead of Pearson chi-squared test to calculate the p-value, since the expected cell frequency was less than 5 in more than 20% of the cells in the contingency table.

Reason for consultation and diagnosis-specific sick leave

The results from the analysis of the relationship between the symptoms given as the reason for consultation and future diagnosis-specific sick leave are shown in Table 6. Mental symptoms as well as sleep disturbance and fatigue, have a statistically significant association with having a future mental sick leave diagnosis (p-values < 0.001). In addition, there is a significant association between seeking care for musculoskeletal symptoms and having a future musculoskeletal sick leave diagnosis (p-value 0.009). In summary, the patients’ diagnoses and their reason for consultation were matching. However, 11 (27%) of the 40 patients who had a future mental sick leave diagnosis did not express any mental symptoms at baseline. In addition, 55 (65%) of the 84 patients who sought care for mental symptoms did not have any mental sick leave diagnosis within one year after baseline.

Table 6. Relationship between symptoms given as reason for consultation and having a mental or musculoskeletal sick leave diagnosis (N = 232).

Symptoms1 Total Mental sick leave diagnosis N = 40 Musculoskeletal sick leave diagnosis N = 20
n Yes No p-value2 Yes No p-value2
Total 232 40 192 20 212
Mental symptoms3 Yes 84 29 55 < 0.001 3 81 0.039
No 148 11 137 17 131
Musculoskeletal symptoms4 Yes 88 14 74 0.675 13 75 0.009
No 144 26 118 7 137
Sleep disturbance Yes 59 20 39 < 0.001 5 54 0.963
No 173 20 153 15 158
Fatigue Yes 75 28 47 < 0.001 5 70 0.464
No 157 12 145 15 142
Gastrointestinal symptoms Yes 45 7 38 0.739 4 41 1.0005
No 187 33 154 16 171
Cardiovascular symptoms Yes 25 6 19 0.344 1 24 0.7055
No 207 34 173 19 188
Other symptoms Yes 46 5 41 0.201 4 42 1.0005
No 186 35 151 16 170

1 Selecting multiple symptoms was possible

2 Pearson chi-squared test for patients having high compared to low work-related stress

3 Stress, anxiety, depression and other mental symptoms

4 Neck, shoulder and other musculoskeletal symptoms

5 Fisher’s exact test was used instead of Pearson chi-squared test to calculate the p-value, since the expected cell frequency was less than 5 in more than 20% of the cells in the contingency table.

Reason for consultation, diagnosis-specific sick leave and work-related stress

A stratified analysis of the relationship between the reason for consultation and future sick leave diagnosis was performed for patients perceiving high work-related stress, that is reporting high stress within multiple WSQ dimensions. As seen in Table 7, the relationship between mental symptoms and future mental sick leave diagnosis presented in Table 6 still holds (p-value 0.001), even if the frequencies have changed. In this stratified sample, 14% (4/28) of the patients had a future mental sick leave diagnosis even if they did not express any mental symptoms at baseline compared to 27% (11/40) in the total study population. For patients perceiving high work-related stress, no association was found between the reason for consultation and having a future musculoskeletal sick leave diagnosis, which is in contrast to the total study sample.

Table 7. Relationship between symptoms given as reason for consultation compared to having a mental or musculoskeletal sick leave diagnosis for patients perceiving high work-related stress (N = 102).

Symptoms1 Total Mental diagnosis Musculoskeletal diagnosis
n2 Yes No p-value3 Yes No p-value4
Total 102 28 74 6 96
Mental symptoms5 Yes 60 24 36 0.001 3 57 0.688
No 42 4 38 3 39
Musculoskeletal symptoms6 Yes 34 9 25 0.875 2 32 1.000
No 68 19 49 4 64
Sleep disturbance Yes 37 16 21 0.007 5 32 0.023
No 65 12 53 1 64
Fatigue Yes 41 21 20 < 0.001 4 37 0.216
No 61 7 54 2 59
Gastrointestinal symptoms Yes 20 5 15 0.784 1 19 1.000
No 82 23 59 5 77
Cardiovascular symptoms Yes 11 3 8 1.0004 1 10 0.505
No 91 25 66 5 86
Other symptoms Yes 23 4 19 0.219 2 21 0.615
No 79 24 55 4 75

1 Selecting multiple symptoms was optional

2 Number of patients perceiving stressors or stress within at least two of the four dimensions included in the Work Stress Questionnaire.

3 Pearson chi-squared test for patients having high compared to low work-related stress

4 Fisher’s exact test was used instead of Pearson chi-squared test to calculate the p-value, since the expected cell frequency was less than 5 in more than 20% of the cells in the contingency table.

5 Stress, anxiety, depression and other mental symptoms

6 Neck, shoulder and other musculoskeletal symptoms

Fig 2 shows that, among the 60 highly stressed patients who sought care for mental symptoms, 24 (40%) had a future mental sick leave diagnosis, while the corresponding value for patients perceiving low stress was 5 out of 24 (21%).

Fig 2. Frequency of mental diagnoses for patients seeking care for mental or others reasons.

Fig 2

Separate graphs for patients perceiving high versus low work-related stress.

Fig 3 shows that, among the 34 highly stressed patients who sought care for musculoskeletal symptoms, 2 (6%) had a future musculoskeletal sick leave diagnosis, while the corresponding value for patients perceiving low stress was 11 out of 54 (20%). That is, both the degree of perceived work-related stress and the reason for consultation were important for future sick leave diagnosis.

Fig 3. Frequency of musculoskeletal diagnoses for patients seeking care for musculoskeletal or other reasons with separate graphs for patients perceiving high versus low work-related stress.

Fig 3

Discussion

Principal findings

This longitudinal observational study showed that primary health care patients with high work-related stress more often sought care for mental symptoms, sleep disturbance and fatigue compared to those who did not report high work-related stress (Fig 4). The most common reason for consultation among patients reporting high work-related stress was mental symptoms. The risk of having a future mental sick leave diagnosis within a year after baseline was higher among patients reporting high work-related stress. The concordance between patients’ reason for consultation and their future sick leave diagnosis was relatively good. For example, among patients who sought care for a mental symptom it was more common to have a future mental sick leave diagnosis than not to, and correspondingly, among patients who had a mental sick leave diagnosis, a majority had sought care for mental symptoms within the previous year. This association was seen in the study population as a whole as well as in the stratified sample of patients perceiving high work-related stress. In addition, patients seeking care for musculoskeletal symptoms more often had a future musculoskeletal sick leave diagnosis than those who sought care for other reasons, but this association was only seen in the study population as a whole.

Fig 4. Summary of the study findings for the three variables work-related stress, reason for consultation and diagnosis-specific sick leave.

Fig 4

The text boxes describe the main results for the associations marked with arrows.

Interpretation of findings

A prior study performed by Hultén et al. [48] showed that work-related stress was common among primary health care patients and that one third of the patients were on registered sick leave within a year after inclusion. In addition, work-related stress increased the odds of future registered sick leave, thereby confirming prior research performed in a primary health care setting [3]. The study in hand examined the association between work-related stress and sick leave among primary health care patients in more detail by focusing on diagnosis-specific sick leave and including the reason for consultation in the analysis.

The reason for consultation was in this study found to be associated with work-related stress. Among the 102 patients with high work-related stress, 60% sought care for mental symptoms, while more than one third reported musculoskeletal symptoms, fatigue and/ or sleep disturbance as a reason for consultation, that is symptoms known to be associated with stress [50]. In a similar study, Wiegner et al. [2] found that among highly stressed Swedish primary health care patients, one third reported symptoms that could be depression-related and two thirds reported possibly anxiety-related symptoms. In another Swedish study [14], patients with exhaustion disorder were found to consult their GP for different complaints that could be stress-related, most frequently infection, anxiety/depression and stress, in the years preceding their diagnosis. Hence, the symptoms presented as a reason for consultation can contribute to an understanding of why patients with high work-related stress chose to contact primary health care.

Perceiving low influence at work, high stress due to demands and commitment or high interference between work and leisure more than doubled the risk of having a future mental sick leave diagnosis in this study. The results thus support prior studies on the association between work-related stress and sick leave [3, 29, 48]. In addition, Duchaine et al. [51] recently performed a systematic review and meta-analysis of 13 studies showing that working adults perceiving high demands and low control at work had an almost 50% increased risk of sick leave due to a mental disorder. The results are also in line with studies examining the relationship between psychosocial risk factors at work and mental diagnoses. In a systematic review [30], van der Molen et al. concluded that social and organisational factors at work, and in particular effort-reward imbalance, low organisational justice and high job demands, increased the risk of stress-related mental disorders among the working population. However, the study in hand showed no association between work-related stress and musculoskeletal sick leave diagnoses, which in part contradicts prior study findings on the relationship between psychosocial risk factors at work and musculoskeletal diagnoses [27, 32].

The reason for consultation was in this study associated with future sick leave diagnosis, that is seeking care for mental symptoms, fatigue or sleep disturbance was positively associated with a mental sick leave diagnosis while seeking care for musculoskeletal symptoms prompted a musculoskeletal diagnosis. Of the 84 patients seeking care for mental symptoms, 35% had a future mental sick leave diagnosis. However, for patients perceiving high work-related stress, no association was found between the reason for consultation and having a future musculoskeletal sick leave diagnosis. In other words, people with high stress did not seek care for musculoskeletal reasons, nor did they receive a musculoskeletal sick leave diagnosis. It cannot be ruled out that the non-significant findings are caused by a lack of statistical power, but the trends indicate no association. To the authors knowledge, the association between the patient reported reason for consultation and diagnosis-specific sick leave has not been researched before. Månsson et al. [52] showed that among Swedish primary health care patient both the reason for consultation and the subsequent diagnosis were most often related to musculoskeletal, respiratory and circulatory ill health. A related Danish study authored by Rosendal et al. [53] using slightly different measures, showed that more than ninety percent of the patients with a psychological GP-stated reason for consultation were classified in the psychological chapter of the International Classification of Primary Care (ICPC) [54], that is a classification adapted for primary health care. However, using patient’s reasons for consultation or the GP-stated reasons for consultation can affect the association between the factors under study. A German study by Kratz et al. [55] showed that in patients judging themselves to be depressed, the GPs diagnosed depression in only 39% of cases. One possible reason for these differences is that GPs have a strong biomedical focus during consultation [53], which might have affected the association between the parameters analysed in this study.

Ill health due to work-related stress was in this study viewed as evolving over time. Along this illness-sickness-sick leave trajectory, positions and decisions are made, which can change its course. For instance, studies have shown that, apart from the illness perceived, modifiable factors inform the decision to consult a GP, such as the patient’s perceived efficacy of both self-care and GP care, health beliefs, cues to consult, the need for information and impact on daily living [5658]. Further, although, the patient’s and GP’s assessment of reduced work capacity are strong predictors for deciding on issuing a sickness certification [59] other factors than work capacity could influence the decision to certify sick leave. Since the GPs find it difficult to assess work capacity and perceive it as not within their purview [60], the decision to certify sick leave may rest on the diagnosis [16]. In addition, GPs might choose the diagnostic code that best corresponds to the patient’s health needs when issuing sick leave, that is a diagnosis with a recommended length of sick leave [15] judged as appropriate to treat the patient’s illness rather than to focus on the reduction in work capacity [12, 61]. Another aspect to consider is that certificates with symptom diagnoses, compared to certificates with disease specific diagnoses, may lack information to a higher degree, resulting in a comparatively poorer quality of the certificate and thus a poorer basis for the decisions made by the sickness insurance officer [62]. There is thus room for interpretation, which can affect the trajectory and thereby the association between work-related stress, reason for consultation and diagnosis-specific sick leave.

Knowledge shaping and the epistemological foundation for the medical practice are also important for the interpretation of the study findings. Medical records shape the medical knowledge by keeping information that is considered relevant and in turn, the medical and scientific knowledge shape clinical practice [11, 63]. The widely used classification systems ICD [17] and ICPC [54] have a strong anchoring in biomedicine [64], which has led to difficulties in incorporating the social circumstances contributing to distress into clinical practice [65]. In addition, the social circumstances at work might not be properly considered, since primary health care not always has the prerequisites needed [66]. Hence, most psychological problems are classified within a few diagnostic categories and social matters are rarely considered or classified [53]. The association between work-related stress, reason for consultation and diagnosis-specific sick leave, can thereby be seen as reflecting the illness-sickness-sick leave trajectory based on the accumulated medical knowledge, but to some degree also the social and cultural understanding of how to assess, describe, treat and care for patients with stress-related ill health.

Methodological considerations

In this study, the association between work-related stress and sick leave was viewed from a less researched angle, by using diagnosis-specific sick leave as an outcome measure whilst also including the reason for consultation. Moreover, the longitudinal design of this observational study made it possible to interpret the direction of the association.

When interpreting the findings, it is important to consider the generalizability, since the study population included patients seeking care at seven primary health care centres in the Västra Götaland region in Sweden. To strengthen the generalizability of the findings, both private and public run centres as well as centres located in urban areas, rural areas and towns of different sizes were included. It should also be noted that the study population reflected the inclusion criteria for the RCT, which were set to include non-sick-listed employed patients seeking care for symptoms that could potentially be caused by work-related stress. The distribution of symptoms thereby differed from the primary health care patients in general [52]. Further, the generalizability of the findings to other nations depends on the structure of the health care system. The results are therefore more easily transferable to countries with a state-regulated universal health care system set to provide basic health services to all their citizens similar to the Swedish system [67].

Data on the reason for consultation and the self-assessed work-related stress was collected at baseline, while the sick leave diagnosis was collected over the 12 subsequent months. During the study period, additional diseases may have occurred, which could explain some of the variation in the study. In addition, the level of stress was only measured once, but this instantaneous value might not be representative for the patient during the period of interest. It is also important to have in mind that this study only includes the diagnosis reported in the sickness certificate, although comorbidity is common for mental disorders [13]. The patient may therefore have other diagnosis or non-diagnosed ill health that could increase the understanding of the relatedness between work-related stress, reason for consultation and diagnosis-specific sick leave.

The individual’s perception and experiences of the work environment was of interest for this study and it was therefore found relevant to use self-reports such as the WSQ. As previously mentioned, the face validity and the test-retest reliability of the WSQ have been found satisfying [44, 52]. By using the WSQ, both contextual aspects and personal characteristics were considered, but other psychosocial work factors than those included in the WSQ could be important. It can therefore not be ruled out that a different questionnaire might have captured the most significant factors more accurately.

The use of registry data on prior sick leave and sick leave diagnosis decreased the risk of dropouts and eliminated risk of recall bias. However, the two sick leave measures were limited in time to one year before and one year after baseline respectively. Choosing a longer period of time could have given more information, since it can take time for stress-related symptoms to develop and patients are known to seek care for various complaints for a long period of time for symptoms known to be stress-related [13, 14]. However, if a longer time period was used, it would have been much more uncertain whether the prior sick leave and the future sick leave diagnosis were linked to morbidity at the time of inclusion.

The sample size was not calculated specifically for this study. Lack of statistical power can therefore not be excluded as a potential explanation for the statistically non-significant associations found in this study, especially when performing stratified analysis. In addition, Lidwall [68] questioned the use of broad diagnosis categories in research. The critique was based on study findings showing that there were distinct differences in return to work within ICD-10 chapters. It can therefore be assumed that a larger sample and a more differentiated categorization of the ICD diagnoses could have increased the understanding of the association between work-related stress and diagnosis-specific sick leave further.

Conclusions

Compared to those who did not report high work-related stress, patients reporting high work-related stress more often sought care for mental symptoms, sleep disturbance and fatigue, and they had a higher risk of future sick leave with a mental diagnosis. Reporting high work-related stress was, however, not linked to having sought care for musculoskeletal symptoms nor future sick leave with a musculoskeletal diagnosis. Thus, both patients and GPs seem to characterize work-related stress as a mental disorder. In research, using diagnosis-specific sick leave rather than all-cause sick leave and including the reasons for consultation can increase the understanding of the relationship between work-related stress and sick leave. In addition, larger studies with more participants would enable a more detailed categorization of both the diagnoses and the reasons for seeking care.

Supporting information

S1 Appendix. The work stress questionnaire including instructions for evaluation.

(PDF)

Acknowledgments

The authors would like to acknowledge the primary health care centres, especially the GPs, and the patients taking part in this study, as well as the co-workers in the research group TIDAS for their support and feedback.

Data Availability

To protect privacy and confidentiality, the raw data and the datasets generated in this study are not publicly available due to restrictions stated in the ethical approval (reference number 125-5) issued by the Regional Ethical Review Board in Gothenburg, Sweden (later merged into the Swedish Ethical Review Authority, https://etikprovningsmyndigheten.se/). According to the approval, the data are to be managed carefully, and the results presented so that individuals cannot be identified. In addition, “All results from the project must be reported at group level with de-identified material” (ethical approval 125-5, section 6.3). The raw data and datasets generated cannot be made publicly available, because of the risk that individuals are identified if study data are combined. Sensitive data on work-related stress, days of sick leave and sick leave diagnosis could then be traced to the persons identified. Interested researchers may send data access requests to the corresponding author (AMH), anna-maria.hulten@gu.se, or the TIDAS research group at the Institute of neuroscience and physiology, tidas@neuro.gu.se. Please refer to the TIDAS project “Early identification of work-related stress”, study "How do they add up?", and data set AddUp2023.

Funding Statement

This study was funded by grant 2014-0936, received by KH, from the Swedish Research Council for Health, Working Life and Welfare (https://forte.se/). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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Decision Letter 0

Ramune Jacobsen

25 Nov 2022

PONE-D-22-26733Work-related stress, reason for consultation and diagnosis-specific sick leave: How do they add up?PLOS ONE

Dear Dr. Hultén,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

Please submit your revised manuscript by Jan 09 2023 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file.

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We look forward to receiving your revised manuscript.

Kind regards,

Ramune Jacobsen

Academic Editor

PLOS ONE

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Reviewers' comments:

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Comments to the Author

1. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

Reviewer #2: Yes

**********

2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: Yes

**********

3. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

Reviewer #2: Yes

**********

4. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

Reviewer #2: Yes

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5. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: I would like to thank all authors for their interesting and useful work. The paper was presented in a scientific manner. Introduction ,methodology , results and conclusions are clearly written.

study limitations were identified. If possible can add a flow chart. However authors have already explained the patient recruitment procedure as well.

Reviewer #2: Over all the paper content is great.

1. The text alignment should be in Justify (Ctr+J)

2. Tables format/bordering should be similar and formal.

3. Table citation within the paragraphs should be revised.

4. Line spacing including the headings should be revised well as PLOS requirements.

5. Some figure captions are bold and some are not, please update it.

6. Exaggerated paragraph indentation should be amended.

7. Abbreviations should be written in full statement (General practitioners first term under the abstract written as GPS) hence, please update all this abbreviations issue.

8. Was that not possible to analyze logistic regression for the associations besides the P value?

**********

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Reviewer #1: No

Reviewer #2: No

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PLoS One. 2023 Jul 18;18(7):e0288751. doi: 10.1371/journal.pone.0288751.r002

Author response to Decision Letter 0


6 Mar 2023

Dear Editor,

Thank you for the comments. Based on our understanding of the research field, the problem addressed in the study, and PLOS ONE style requirements, we have adjusted the manuscript accordingly. Changes have been highlighted in the manuscript. In addition, point-by-point responses to the comments are presented below.

Comments from the academic editor

Comment 1: Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming.

Response: Thank you for kindly reminding us of the style requirements. The manuscript has been revised to align with the PLOS ONE style templates and the submission guidelines.

Comment 2. We note that you have indicated that data from this study are available upon request. PLOS only allows data to be available upon request if there are legal or ethical restrictions on sharing data publicly. If there are ethical or legal restrictions on sharing a de-identified data set, please explain them in detail (e.g., data contain potentially sensitive information, data are owned by a third-party organization, etc.) and who has imposed them (e.g., an ethics committee). Please also provide contact information for a data access committee, ethics committee, or other institutional body to which data requests may be sent.

Response: To protect privacy and confidentiality, the raw data and the datasets generated in this study are not publicly available due to restrictions stated in the ethical approval (reference number 125-5) issued by the Regional Ethical Review Board in Gothenburg, Sweden (later merged into the Swedish Ethical Review Authority, https://etikprovningsmyndigheten.se/). According to the approval, the data are to be managed carefully, and the results presented so that individuals cannot be identified. In addition, “All results from the project must be reported at group level with de-identified material” (ethical approval 125-5, section 6.3). The raw data and datasets generated cannot be made publicly available, because of the risk that individuals are identified if study data are combined. Sensitive data on work-related stress, days of sick leave and sick leave diagnosis could then be traced to the persons identified. Interested researchers may send data access requests to the corresponding author (AMH), anna-maria.hulten@gu.se, or the TIDAS research group at the Institute of neuroscience and physiology, tidas@neuro.gu.se. Please refer to the TIDAS project “Early identification of work-related stress”, study "How do they add up?", and data set AddUp2023. 

Comments from reviewer 1

Comment 1: I would like to thank all authors for their interesting and useful work. The paper was presented in a scientific manner. Introduction, methodology, results and conclusions are clearly written. Study limitations were identified. If possible can add a flow chart. However, authors have already explained the patient recruitment procedure as well.

Response: Thank you for the positive comments.

Comments from reviewer 2

Comment 1: The text alignment should be in Justify (Ctr+J)

Response: We have studied the style requirements and looked at several articles published in PLOS ONE, but we cannot find any requirement of adjusting the text to both left and right (justify). We therefore chose not to use this typographic alignment.

Comment 2: Tables format/bordering should be similar and formal.

Response: The table bordering has been adjusted.

Comment 3: Table citation within the paragraphs should be revised.

Response: In the paragraphs, tables are cited as “Table 1”, “Table 2” etc. We have studied the style requirements and looked at a number of articles published in PLOS ONE, but we cannot find any ground for revising the table citations.

Comment 4: Line spacing including the headings should be revised well as PLOS requirements.

Response: Both body text and headings have been revised.

Comment 5: Some figure captions are bold and some are not, please update it.

Response: The figure captions have been revised in accordance with the style requirements.

Comment 6: Exaggerated paragraph indentation should be amended.

Response: The indentation has been adjusted.

Comment 7: Abbreviations should be written in full statement (General practitioners first term under the abstract written as GPs) hence, please update all this abbreviations issue.

Response: Abbreviations have been adjusted, so that they are defined upon first appearance in the text.

Comment 8: Was that not possible to analyse logistic regression for the associations besides the P value?

Response: Thank you for this question. In this study, the Pearson chi-squared test and calculation of crude relative risks (RR) were considered suitable statistical methods in data analysis, based on the four research questions on the bivariate relationships between work-related stress, reason for consultation, and diagnosis-specific sick leave. Developing multivariable clinical prediction models for binary outcomes was not the scope of this study. However, multivariate analyses could have been used to analyse the three variables simultaneously. Given that non-parametric tests had to be used, binomial logistic regression could be suitable for analysing the relationship between stress, reason for consultation, and diagnosis-specific sick leave. Due to the relatively low sample size, the power was, however, considered insufficient for performing more complex analyses [1]. The analyses would include a large number of statistical tests, which would influence the sample size needed; the more tests, the larger the sample.

In addition to the above comments, minor grammatical changes and clarifications have been made to improve readability (highlighted in the file labelled 'Revised Manuscript with Track Changes').

We look forward to hearing from you regarding our submission and to respond to any further questions or comments.

Yours sincerely,

Anna-Maria Hultén, MSc, PhD student

Reference

1. Bujang MA, Sa'at N, Sidik T, Joo LC. Sample Size Guidelines for Logistic Regression from Observational Studies with Large Population: Emphasis on the Accuracy Between Statistics and Parameters Based on Real Life Clinical Data. Malays J Med Sci. 2018;25(4):122-30.

Attachment

Submitted filename: Response to Reviewers.docx

Decision Letter 1

Ramune Jacobsen

18 Apr 2023

PONE-D-22-26733R1Work-related stress, reason for consultation and diagnosis-specific sick leave: How do they add up?PLOS ONE

Dear Dr. Hultén,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

Please submit your revised manuscript by Jun 02 2023 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file.

Please include the following items when submitting your revised manuscript:

  • A rebuttal letter that responds to each point raised by the academic editor and reviewer(s). You should upload this letter as a separate file labeled 'Response to Reviewers'.

  • A marked-up copy of your manuscript that highlights changes made to the original version. You should upload this as a separate file labeled 'Revised Manuscript with Track Changes'.

  • An unmarked version of your revised paper without tracked changes. You should upload this as a separate file labeled 'Manuscript'.

If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter.

If applicable, we recommend that you deposit your laboratory protocols in protocols.io to enhance the reproducibility of your results. Protocols.io assigns your protocol its own identifier (DOI) so that it can be cited independently in the future. For instructions see: https://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols. Additionally, PLOS ONE offers an option for publishing peer-reviewed Lab Protocol articles, which describe protocols hosted on protocols.io. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols.

We look forward to receiving your revised manuscript.

Kind regards,

Ramune Jacobsen

Academic Editor

PLOS ONE

[Note: HTML markup is below. Please do not edit.]

Reviewers' comments:

Comments to the Author

1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation.

Reviewer #1: All comments have been addressed

Reviewer #3: (No Response)

**********

2. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

Reviewer #3: Partly

**********

3. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #3: No

**********

4. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

Reviewer #3: Yes

**********

5. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

Reviewer #3: Yes

**********

6. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: All the comments raised by the reviewer has been addressed by the authors. The authors have rearrange the manuscript in more informative and scientific pattern.

Reviewer #3: 

I think authors did not address comment from reviewer 1. As you see, reviewer 1 asked for a flow chart. So far I understand a flow chart of the study population.

I have some comments on methods:

- Is the study cross-sectional or longitudinal? Although authors mention a cross-sectional and prospective longitudinal study design, I think this needs an explanation how a study can be both? Is it they wanted to see differences between two time points, but that was not the case in this study?

- How authors calculated crude relative risk - is it manually without a regression model? If so, they also calculated CI and p-value. Without having a model the statistical results for CRR could be spurious.

- How authors made an index for WSQ instrument is not clear, and what is the reliability of the instrument in this study.

- Author mentioned about power of the study in answering the comment of Reviewer 2. My question is to author whether they had a power calculation; moreover, I notice they have 232 subjects, in that case they are able to perform some kind of models.

- Minor thing: Authors mention about RCT in method - I understand they were explaining how the data were collected, but it seems they talk so much about RCT. Readers may get confused.

**********

7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: No

Reviewer #3: No

**********

[NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.]

While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step.

PLoS One. 2023 Jul 18;18(7):e0288751. doi: 10.1371/journal.pone.0288751.r004

Author response to Decision Letter 1


13 May 2023

Response to reviewers

PONE-D-22-26733, PLOS ONE

Work-related stress, reason for consultation and diagnosis-specific sick leave: How do they add up?

Decision received 18 April 2023

Dear Editor,

Thank you for the additional comments, which we found very valuable. Changes have been highlighted in the manuscript. In addition, point-by-point responses to the comments are presented below.

Comments from reviewer 3

Comment 1: I think authors did not address comment from reviewer 1. As you see, reviewer 1 asked for a flow chart. So far I understand a flow chart of the study population.

Response: Reviewer 1’s comment on adding a flowchart read: “If possible can add a flow chart. However, authors have already explained the patient recruitment procedure as well”. Unfortunately, we gave no response to that comment. The reasoning for not including a flowchart was that the inclusion process only included a few simple steps, which we have, as stated by reviewer 1, described in words. In addition, Table 1 gives further information about the inclusion process. A flowchart of enrolment, allocation and follow-up for the RCT can be found elsewhere (1).

Comment 2: Is the study cross-sectional or longitudinal? Although authors mention a cross-sectional and prospective longitudinal study design, I think this needs an explanation how a study can be both? Is it they wanted to see differences between two time points, but that was not the case in this study?

Response: Thank you for the valuable comment. The study is a prospective longitudinal observational study with initial cross-sectional analyses. Changes have been made to simplify and reduce the risk of misinterpretation (p 2, row 22; p 7, row 146; p 7, row 156; p 21, row 429; p 26, row 542-543). In addition, figure 1 and 4 have been revised.

Comment 3: How authors calculated crude relative risk - is it manually without a regression model? If so, they also calculated CI and p-value. Without having a model, the statistical results for CRR could be spurious.

Response: Thank you for bringing this ambiguity to our attention. We did not perform regression analysis. The relative risk and confidence interval were calculated using IBM SPSS Statistics version 25.0 (Analyze >Descriptive Statistics >Crosstabs). Therefore, we chose to remove the word crude in order not to lead into the idea that the calculated risk constituted an initial step in a multivariable regression analysis (p 13, row 289; p 17, row 357; p 18, row 368).

Comment 4: How authors made an index for WSQ instrument is not clear, and what is the reliability of the instrument in this study.

Response: We agree with Reviewer 3 that the text on how the dichotomized WSQ values were created had to be clarified and have revised the text accordingly (p 9, row 188-206; p 10, row 207-208; p 10, row 211-212; p 10, row 217-229; p 11, row 230-235).

Thank you for also addressing the reliability of the WSQ. The questionnaire was developed based on both theory and empirical findings about work-related stressors and stress. The results of a qualitative study on women’s views of opportunities for and obstacles to returning to work (2) significantly affected the questionnaire development. As written in the manuscript, the face validity and the test-retest reliability has been tested for women and men separately (3, 4). A pilot group of ten employed working women and a pilot group of seven employed working men confirmed the face validity of the questionnaire. The confirmative responses from both women and men were based on their comments and notes on scale steps and formulation of the questions as well as if the questionnaire corresponded to their understanding of work-related stress after filling out the WSQ. The test-retest reliability of the WSQ has been assessed in two separate test–retest studies with 52 women and 41 men. The reliability was analysed with a non-parametric statistical method for evaluation of paired data (5). The analysis indicated a satisfactory reliability for both women and men.

The WSQ was used in this study, since it includes aspects relating to work, but also to the individual and the time spent out of work. In addition, it is developed to assess the risk of future long-term sick leave in a primary health care setting. At the time of the study there was no other high-quality questionnaire that included all the aspects of interest when looking at stress-related ill health from a transactional perspective. The Cronbach’s alpha is frequently used in research as a measure of scale reliability. However, there are assumption to when it can be used, for instance that the items should be continuous with normal distributions (6, 7). In our study the data is ordinal and therefore we chose not to include Cronbach’s alpha as a measure of scale reliability (internal consistency) in the manuscript.

The following articles describe the development of the WSQ as well as studies in which the questionnaire has been used (all items or in some cases selected items were used):

• Hultén et al, 2022. Work‑related stress and future sick leave in a working population seeking care at primary health care centres: a prospective longitudinal study using the WSQ (8);

• Hultqvist et al, 2021. Does a brief work-stress intervention prevent sick-leave during the following 24 months? A randomized controlled trial in Swedish primary care (9);

• Hultén et al, 2021. Self-reported sick leave following a brief preventive intervention on work-related stress: a randomised controlled trial in primary health care (1);

• Sandheimer et al, 2020. Effects of a work stress intervention on healthcare use and treatment compared to treatment as usual: A randomised controlled trial in Swedish primary healthcare (10);

• Hultén et al, 2020. Positioning work related stress - GPs' reasoning about using the WSQ combined with feedback at consultation (11);

• Bjerkeli et al, 2020. Does early identification of high work related stress affect pharmacological treatment of primary care patients? - Analysis of Swedish pharmacy dispensing data in a randomised control study (12);

• Frantz et al, 2019. The Work Stress Questionnaire (WSQ) - Reliability and face validity among male workers (4);

• Holmgren et al, 2019. Does early identification of work-related stress, combined with feedback at GP-consultation, prevent sick leave in the following 12 months? (13);

• Holmgren et al, 2016. Early identification in primary health care of people at risk for sick leave due to work-related stress - Study protocol of a randomized controlled trial (RCT) (14);

• Holmgren et al, 2014. Remain in work-What work-related factors are associated with sustainable work attendance: A general population-based study of women and men (15);

• Holmgren et al, 2013. Early identification of work-related stress predicted sickness absence in employed women with musculoskeletal or mental disorders: a prospective, longitudinal study in a primary health care setting (16);

• Holmgren et al, 2013: The combination of work organizational climate and individual work commitment predicts return to work in women but not in men (17);

• Holmgren et al, 2010. The association between poor organizational climate and high work commitments, and sickness absence in a general population of women and men (18);

• Holmgren et al, 2009. The prevalence of work-related stress, and its association with self-perceived health and sick-leave, in a population of employed Swedish women (19);

• Holmgren et al, 2009. Development of a questionnaire assessing work-related stress in women - Identifying individuals who risk being put on sick leave (3);

• Holmgren et al, 2004. Women on sickness absence - Views of possibilities and obstacles for returning to work. A focus group study (2).

Comment 5: Author mentioned about power of the study in answering the comment of Reviewer 2. My question is to author whether they had a power calculation; moreover, I notice they have 232 subjects, in that case they are able to perform some kind of models.

Response: Thank you for raising these questions. A power analysis was performed for the primary outcome measure of the RCT (14). No power analysis was performed for this study, since the study was based on data from the RCT and the number of participants was therefore limited to those patients participating in the trial.

In all 232 patients participated in the study. However, not all patients perceived stress. For instance, 49 patients perceived high stress due to indistinct organisation and conflicts, and 105 patients perceived stress due to individual demands and commitment (Table 5). In addition, not all patients were on sick leave with a mental or musculoskeletal diagnosis (Table 5). Therefore, for some analysis Fisher’s exact test was used instead of Pearson chi-squared test to calculate p-values (the expected cell frequency was less than 5 in more than 20% of the cells in the contingency table). Due to these circumstances, the power would have been to low to perform multivariable analysis.

Comment 6: Authors mention about RCT in method - I understand they were explaining how the data were collected, but it seems they talk so much about RCT. Readers may get confused.

Response: Thank you for the valuable comment. We have now described the RCT in less detail and rearranged the text as well (p 7, row 149-165; p 8, 166-170).

In addition to the above comments, minor grammatical changes and clarifications have been made to improve readability (highlighted in the file labelled 'Revised Manuscript with Track Changes').

We look forward to hearing from you regarding our submission and to respond to any further questions or comments.

Yours sincerely,

Anna-Maria Hultén, MSc, PhD student

References

1. Hultén AM, Bjerkeli P, Holmgren K. Self-reported sick leave following a brief preventive intervention on work-related stress: A randomised controlled trial in primary health care. BMJ Open. 2021;11(3).

2. Holmgren K, Dahlin Ivanoff S. Women on sickness absence--views of possibilities and obstacles for returning to work. A focus group study. Disabil Rehabil. 2004;26(4):213-22.

3. Holmgren K, Hensing G, Dahlin-Ivanoff S. Development of a questionnaire assessing work-related stress in women - Identifying individuals who risk being put on sick leave. Disabil Rehabil. 2009;31(4):284-92.

4. Frantz A, Holmgren K. The Work Stress Questionnaire (WSQ) - Reliability and face validity among male workers. BMC Public Health. 2019;19(1).

5. Svensson E. Ordinal invariant measures for individual and group changes in ordered categorical data. Stat Med. 1998;17(24):2923-36.

6. McNeish D. Thanks coefficient alpha, we'll take it from here. Psychol Methods. 2018;23(3):412-33.

7. Gadermann AM, Guhn M, Zumbo BD. Estimating Ordinal Reliability for Likert-Type and Ordinal Item Response Data: A Conceptual, Empirical, and Practical Guide. Pract Assess Res Eval. 2012;17:1-13.

8. Hultén AM, Bjerkeli P, Holmgren K. Work-related stress and future sick leave in a working population seeking care at primary health care centres: a prospective longitudinal study using the WSQ. BMC Public Health. 2022;22(1).

9. Hultqvist J, Bjerkeli P, Hensing G, Holmgren K. Does a brief work-stress intervention prevent sick-leave during the following 24 months? A randomized controlled trial in Swedish primary care. Work. 2021;70(4):1141-50.

10. Sandheimer C, Hedenrud T, Hensing G, Holmgren K. Effects of a work stress intervention on healthcare use and treatment compared to treatment as usual: a randomised controlled trial in Swedish primary healthcare. BMC Fam Pract. 2020;21(1):133.

11. Hultén AM, Dahlin-Ivanoff S, Holmgren K. Positioning work related stress - GPs' reasoning about using the WSQ combined with feedback at consultation. BMC Fam Pract. 2020;21(1):187.

12. Bjerkeli PJ, Skoglund I, Holmgren K. Does early identification of high work related stress affect pharmacological treatment of primary care patients? - analysis of Swedish pharmacy dispensing data in a randomised control study. BMC Fam Pract. 2020;21(1):70.

13. Holmgren K, Hensing G, Bültmann U, Hadzibajramovic E, Larsson MEH. Does early identification of work-related stress, combined with feedback at GP-consultation, prevent sick leave in the following 12 months?: a randomized controlled trial in primary health care. BMC Public Health. 2019;19(1):1471-2458.

14. Holmgren K, Sandheimer C, Mardby AC, Larsson ME, Bultmann U, Hange D, et al. Early identification in primary health care of people at risk for sick leave due to work-related stress - study protocol of a randomized controlled trial (RCT). BMC Public Health. 2016;16(1):1193.

15. Holmgren K, Löve J, Mårdby AC, Hensing G. Remain in work--what work-related factors are associated with sustainable work attendance: a general population-based study of women and men. J Occup Environ Med. 2014;56(3):235-42.

16. Holmgren K, Fjällström-Lundgren M, Hensing G. Early identification of work-related stress predicted sickness absence in employed women with musculoskeletal or mental disorders: a prospective, longitudinal study in a primary health care setting. Disabil Rehabil. 2013;35(5):418-26.

17. Holmgren K, Ekbladh E, Hensing G, Dellve L. The combination of work organizational climate and individual work commitment predicts return to work in women but not in men. J Occup Environ Med. 2013;55(2):121-7.

18. Holmgren K, Hensing G, Dellve L. The association between poor organizational climate and high work commitments, and sickness absence in a general population of women and men. J Occup Environ Med. 2010;52(12):1179-85.

19. Holmgren K, Dahlin-Ivanoff S, Björkelund C, Hensing G. The prevalence of work-related stress, and its association with self-perceived health and sick-leave, in a population of employed Swedish women. BMC Public Health. 2009;9;73.

Attachment

Submitted filename: Response to Reviewers.docx

Decision Letter 2

Ramune Jacobsen

5 Jul 2023

Work-related stress, reason for consultation and diagnosis-specific sick leave: How do they add up?

PONE-D-22-26733R2

Dear Dr. Hultén,

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Ramune Jacobsen

Academic Editor

PLOS ONE

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Acceptance letter

Ramune Jacobsen

10 Jul 2023

PONE-D-22-26733R2

Work-related stress, reason for consultation and diagnosis-specific sick leave: How do they add up?

Dear Dr. Hultén:

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department.

If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org.

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on behalf of

Dr. Ramune Jacobsen

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Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 Appendix. The work stress questionnaire including instructions for evaluation.

    (PDF)

    Attachment

    Submitted filename: Response to Reviewers.docx

    Attachment

    Submitted filename: Response to Reviewers.docx

    Data Availability Statement

    To protect privacy and confidentiality, the raw data and the datasets generated in this study are not publicly available due to restrictions stated in the ethical approval (reference number 125-5) issued by the Regional Ethical Review Board in Gothenburg, Sweden (later merged into the Swedish Ethical Review Authority, https://etikprovningsmyndigheten.se/). According to the approval, the data are to be managed carefully, and the results presented so that individuals cannot be identified. In addition, “All results from the project must be reported at group level with de-identified material” (ethical approval 125-5, section 6.3). The raw data and datasets generated cannot be made publicly available, because of the risk that individuals are identified if study data are combined. Sensitive data on work-related stress, days of sick leave and sick leave diagnosis could then be traced to the persons identified. Interested researchers may send data access requests to the corresponding author (AMH), anna-maria.hulten@gu.se, or the TIDAS research group at the Institute of neuroscience and physiology, tidas@neuro.gu.se. Please refer to the TIDAS project “Early identification of work-related stress”, study "How do they add up?", and data set AddUp2023.


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