| Literature DB >> 29342952 |
Sus Sola Corazon1, Patrik Karlsson Nyed2, Ulrik Sidenius3, Dorthe Varning Poulsen4, Ulrika Karlsson Stigsdotter5.
Abstract
Stress-related illnesses are a growing health problem in the Western world; which also has economic significance for society. As a consequence; there is a growing demand for effective treatments. The study investigates the long-term efficacy of the Nacadia® nature-based therapy (NNBT) by comparing it to the efficacy of a validated cognitive behavioral therapy, called STreSS. The study is designed as a randomized controlled trial in which 84 participants are randomly allocated between the treatments. Long-term efficacy is investigated through data extracts from the national database of Statistics Denmark on the sick leave and the health-care consumption. The results show that both the NNBT and the STreSS lead to a significant decrease in number of contacts with a general practitioner in the period from twelve months prior to treatment to twelve months after treatment; and, a significant decrease in long-term sick leave from the month prior to treatment to twelve months after treatment. The positive long-term effects provide validation for the NNBT as an efficient treatment of stress-related illnesses.Entities:
Keywords: CBT; RCT; health care utilization; nature-based interventions; pre-post study; register data; stress-related illnesses; therapy garden
Mesh:
Year: 2018 PMID: 29342952 PMCID: PMC5800236 DOI: 10.3390/ijerph15010137
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1Participant flow diagram.
Socioeconomic classification of participants.
| Socioeconomic Classification | NBT ( | CBT ( |
|---|---|---|
| Employee—ground level | 2 | 5 |
| Employee—intermediate level | 3 | 3 |
| Employee—top level | 13 | 12 |
| Chief executive | 1 | 0 |
| Self-employed | 1 | 1 |
| Unemployed | 18 | 18 |
| Student | 2 | 3 |
| Other compensation services/job training | 3 | 0 |
Note 1. Classification based on the register: AMRUN; variable; SOC_STATUS_KODE; Note 2. Some participants were registered under several codes in the AMRUN register at treatment start (NBT = 6 participants, CBT = 7 participants).
Figure 2The proportion of participants on sick leave from twelve months prior to twelve months after a treatment. (NBT: n = 34; CBT: n = 30). Note 1. The gap in the graph represents the treatment period; Note 2. Data from the register: AMRUN; variable; SOC_STATUS_KODE was not available for 2016; therefore, data on three participants in NBT and five participants in CBT are missing.
Participants’ sick-leave status from the month prior to treatment compared to twelve months after the treatment (NBT: n = 34; CBT: n = 30).
| Treatments | Point in Time | Sick-Leave Status | Month 12 after the Treatment | |
|---|---|---|---|---|
| Not on Sick Leave | On Sick Leave | |||
| NBT ( | 1 month before the treatment * | Not on sick leave | 4 | 0 |
| On sick leave | 23 | 7 | ||
| CBT ( | 1 month before the treatment * | Not on sick leave | 5 | 1 |
| On sick leave | 15 | 9 | ||
* As the AMRUN register data is only available on a monthly basis, the starting point for the analysis was decided to be the month prior to the date of the treatment start; Note 2. Data from the register: AMRUN; variable; SOC_STATUS_KODE was not available for 2016; therefore, data on three participants in NBT and five participants in CBT are missing.
Number of contacts with a general practitioner from twelve months before treatment to twelve months after treatment (NBT: n = 37; CBT: n = 35).
| Treatment | Point in Time | Median | Max. | Min. | Sign. |
|---|---|---|---|---|---|
| NBT ( | Before | 18 | 42 | 1 | |
| After | 13 | 67 | 0 | ||
| CBT ( | Before | 21 | 103 | 6 | |
| After | 14 | 35 | 5 |
* p < 0.05; ** p < 0.01.