| Literature DB >> 27885322 |
Neil Nedley1, Francisco E Ramirez1.
Abstract
Depression is often diagnosed using the Diagnostic and Statistical Manual of Mental Disorders Fifth Edition (DSM-5) criteria. We propose how certain lifestyle choices and non-modifiable factors can predict the development of depression. We identified 10 cause categories (hits or "blows" to the brain) and theorize that four or more active hits could trigger a depression episode. Methods. A sample of 4271 participants from our community-based program (70% female; ages 17-94 years) was assessed at baseline and at the eighth week of the program using a custom test. Ten cause categories were examined as predictors of depression are (1) Genetic, (2)Developmental, (3)Lifestyle, (4)Circadian Rhythm, (5)Addiction, (6)Nutrition, (7)Toxic, (8)Social/Complicated Grief, (9)Medical Condition, and (10)Frontal Lobe. Results. The relationship between the DSM-5 score and a person having four hits categories in the first program week showed a sensitivity of 89.98 % (95% CI: 89.20 % - 90.73%), specificity 48.84% (CI 45.94-51.75) and Matthew Correlation Coefficient (MCC) .41 . For the eight-week test, the results showed a sensitivity 83.6% (CI 81.9-85.5), specificity 53.7% (CI 51.7-55.6) and MCC .38. Overall, the hits that improved the most from baseline after the eighth week were: Nutrition (47%), Frontal lobe (36%), Addiction (24%), Circadian rhythm (24%), Lifestyle (20%), Social (12%) and Medical (10%). Conclusions. The Nedley four-hit hypothesis seems to predict a depressive episode and correlates well with the DSM-5 criteria with good sensitivity and MCC but less specificity. Identifying these factors and applying lifestyle therapies could play an important role in the treatment of depressed individuals.Entities:
Keywords: anxiety; depression; emotional-intelligence; lifestyle; risks
Year: 2014 PMID: 27885322 PMCID: PMC5103329 DOI: 10.1177/1559827614550779
Source DB: PubMed Journal: Am J Lifestyle Med ISSN: 1559-8276
Demographic Characteristics.
| Variable | n (%)[ |
|---|---|
| Sex | |
| Male | 1248 (29.2) |
| Female | 3023 (70.7) |
| Age (years) | |
| Mean | 53 |
| Mode | 57 |
| Standard deviation | 15 |
| Race | |
| Caucasian | 3747 (87.7) |
| Hispanic | 264 (6.18) |
| Black | 142 (3.3) |
| Asian | 118 (2.7) |
| Countries | |
| United States | 3111 (72.8) |
| Canada | 701 (16.4) |
| Australia | 380 (8.8) |
| Norway | 11 (0.25) |
| Other | 2 (0.04) |
| Education | |
| None | 15 (0.3) |
| High school | 1096 (25.6) |
| Some college | 1343 (31.4) |
| College | 1212 (28) |
| Graduate | 493 (11.5) |
| PhD | 112 (2.6) |
Except for the variable “Age.”
Diagnostic and Statistical Manual Depression Score.
| <7: None |
| 7-10: Mild |
| 11-19: Moderate |
| >19: Severe |
Figure 1.Sensitivity before and after, specificity before and after against number of hits (x).
Figure 2.Matthew correlation coefficient correlated with the different hits.