| Literature DB >> 30376811 |
Annika Adamsson1, Susanne Bernhardsson2,3.
Abstract
BACKGROUND: Mental illness, and particularly stress-related disorders such as exhaustion disorder, is continuously increasing in today's society. It is important to identify patients who consult for potentially stress-related symptoms early, before the stress condition develops into an exhaustion disorder. The purpose of the study was to investigate the frequency of different presenting complaints for which patients had consulted in the two years preceding receipt of their exhaustion disorder diagnosis, and to explore potential associations between stress-related presenting complaints and demographic factors, as well as comorbidity and other potentially stress-inducing factors.Entities:
Keywords: Burnout; Early detection; Exhaustion disorder; General practice; Primary health care; Stress; Stress related mental health problems
Mesh:
Year: 2018 PMID: 30376811 PMCID: PMC6208049 DOI: 10.1186/s12875-018-0858-7
Source DB: PubMed Journal: BMC Fam Pract ISSN: 1471-2296 Impact factor: 2.497
Diagnostic criteria for exhaustion disorder (Swedish National Board of Health and Welfare)
| Diagnostic criteria for exhaustion disorder, ICD-10 code F 43.8A | |
|---|---|
| A. Physical and mental symptoms of exhaustion during a minimum of two weeks. The symptoms have developed in response to one or more identifiable stressors which have been present for at least six months. | |
| B. Markedly lack of mental energy, which is manifested by reduced initiative, reduced endurance, or prolonged recovery time after mental strain. | |
| C. At least four of the following symptoms have been present most days during the same two-week period: | |
| D. The symptoms cause clinically significant suffering or reduced ability to function at work, socially, or in other important situations. | |
| E. The symptoms are not related to direct physiological effects of a substance (e.g. drug abuse, medication) or somatic disease/injury (e.g. hypothyroidism, diabetes, infectious disease). | |
| F. If the criteria for major depressive disorder, dysthymic disorder or generalized anxiety disorder concurrently are fulfilled, exhaustion disorder should be used as a secondary diagnosis. |
Fig. 1Flow chart of included patients
Participant characteristics and data regarding number of GP visits and comorbidity (n = 115)
| Variable | n (%) |
|---|---|
| Gender | |
| Women | 88 (76) |
| Men | 27 (24) |
| Age (years), mean (SD) | 47.1 (10.8) |
| < 30 years | 8 (7) |
| 31–40 years | 26 (23) |
| 41–50 years | 40 (35) |
| 51–60 years | 25 (22) |
| > 60 years | 16 (14) |
| Occupation | |
| Office work | 37 (32) |
| Industrial worka | 7 (6) |
| Education | 24 (21) |
| Health care | 19 (16) |
| Other work | 17 (15) |
| Unemployed | 9 (7.8) |
| Student | 2 (2) |
| Comorbidity, somatic diagnoses | 70 (61) |
| Comorbidity, mental diagnoses | 61 (53) |
| Number of GP visits, mean (SD) | 5.2 (3.7) |
| Number of GP visits, median (range) | 4.0 (0–18) |
aIndustrial work includes blue collar professions, e.g. factory workers, carpenters
Stress-related presenting complaints during the two years preceding the receipt of the diagnosis exhaustion disorder, by gender and age group (n = 115)
| Complaint | Total (n = 115) | Women ( | Men ( | < 40 years ( | 40+ years ( | ||
|---|---|---|---|---|---|---|---|
| Infection | 56 (49) | 44 (50) | 12 (44) | 0.613 | 16 (47) | 40 (49) | 0.820 |
| Anxiety/depression | 53 (46) | 39 (44) | 14 (52) | 0.492 | 14 (41) | 39 (48) | 0.494 |
| Stress | 45 (39) | 36 (41) | 9 (33) | 0.490 | 11 (32) | 34 (42) | 0.335 |
| Other pain | 41 (36) | 34 (39) | 7 (26) | 0.228 | 9 (26) | 32 (40) | 0.183 |
| Fatigue | 40 (35) | 33 (38) | 7 (26) | 0.269 |
|
|
|
| Gastrointestinal symptoms | 38 (33) | 29 (33) | 9 (33) | 0.971 | 11 (32) | 27 (33) | 0.919 |
| Sleep disturbance | 36 (31) | 27 (31) | 9 (33) | 0.795 | 10 (29) | 26 (32) | 0.777 |
| Headache | 17 (15) | 15 (17) | 2 (7) | 0.217 | 4 (12) | 13 (16) | 0.555 |
| Dizziness | 17 (15) | 15 (17) | 2 (7) | 0.217 | 5 (15) | 12 (15) | 0.988 |
| Chest pain | 16 (14) | 12 (13) | 4 (15) | 0.877 | 6 (18) | 10 (12) | 0.453 |
| Back pain | 15 (13) | 14 (16) | 1 (4) | 0.099 |
|
|
|
| High blood pressure | 13 (11) | 10 (11) | 3 (11) | 0.971 | 1 (3) | 12 (15) | 0.067 |
| Palpitations | 9 (8) | 8 (9) | 1 (4) | 0.362 | 1 (3) | 8 (10) | 0.206 |
| Other complaints | 24 (21) | 21 (24) | 3 (11) | 0.154 | 7 (21) | 17 (21) | 0.962 |
Differences between genders and age groups were analysed using Chi square. Bold numbers indicate a significant difference
Stress-related presenting complaints during the two years preceding the receipt of the diagnosis exhaustion disorder, by occupation (n = 115)
| Complaint | Office | Education ( | Health care | Industry | Other occupation | Student | Unem-ployed ( |
|---|---|---|---|---|---|---|---|
| Infection | 22 (60) | 11 (46) | 6 (32) | 3 (43) | 7 (41) | 2 (100) | 5 (56) |
| Anxiety/depression | 10 (27) | 15 (62) | 7 (37) | 5 (71) | 11 (65) | 1 (50) | 4 (44) |
| Stress | 15 (40) | 12 (50) | 8 (42) | 4 (57) | 2 (12) | 1 (50) | 3 (33) |
| Other pain | 13 (35) | 12 (50) | 6 (32) | 1 (14) | 4 (24) | – | 5 (56) |
| Fatigue | 10 (27) | 11 (46) | 4 (21) | 2 (29) | 10 (59) | – | 3 (33) |
| Gastrointestinal symptoms | 12 (32) | 9 (38) | 5 (26) | 4 (57) | 4 (24) | 1 (50) | 3 (33) |
| Sleep disturbance | 11 (30) | 10 (42) | 5 (26) | 2 (29) | 6 (35) | – | 2 (22) |
| Headache | 3 (8) | 5 (21) | 5 (26) | 1 (14) | 3 (18) | – | – |
| Dizziness | 3 (8) | 5 (21) | 5 (26) | – | 4 (24) | – | – |
| Chest pain | 6 (16) | 3 (12) | 1 (5) | – | 4 (24) | – | 2 (22) |
| Back pain | 3 (8) | 5 (21) | 2 (10) | 1 (14) | 4 (24) | – | – |
| High blood pressure | 3 (8) | 4 (17) | 2 (10) | 1 (14) | 3 (18) | – | – |
| Palpitations | 2 (5) | 4 (17) | 1 (5) | – | 2 (12) | – | – |
| Other complaints | 5 (14) | 9 (38) | 3 (16) | – | 4 (24) | – | 3 (33) |
Mental and somatic comorbidity, by age group and occupational category (n = 115)
| Other mental diagnosis | Somatic diagnosis | |
|---|---|---|
| Age group | ||
| < 30 years | 2 (25) | 3 (38) |
| 31–40 years | 13 (50) | 6 (23) |
| 41–50 years | 19 (48) | 28 (70) |
| 51–60 years | 13 (52) | 17 (68) |
| > 60 years |
|
|
| p-value | 0.029 | < 0.001 |
| Occupation | ||
| Office workers | 23 (62) | 22 (60) |
| Industry | 4 (57) | 4 (57) |
| Education | 12 (50) | 17 (71) |
| Health care | 7 (37) | 11 (58) |
| Other occupation | 7 (41) | 10 (59) |
| Student | 0 (0) | 0 (0) |
| Unemployed |
| 6 (67) |
| p-value | 0.025 | 0.711 |
Bold numbers indicate a significant difference. Differences between age groups and occupational categories were analysed using Chi square