| Literature DB >> 26401158 |
Khadijeh Mohammadi1, Parvin Rahnama1, Ali Montazeri2.
Abstract
BACKGROUND: Multiple sclerosis is increasingly becoming a major health problem among women worldwide. The aim of the present study was to estimate prevalence of depression in women with multiple sclerosis and also to identify risk factors contributing to its development.Entities:
Year: 2015 PMID: 26401158 PMCID: PMC4580126 DOI: 10.1186/s12991-015-0069-8
Source DB: PubMed Journal: Ann Gen Psychiatry ISSN: 1744-859X Impact factor: 3.455
Characteristics of the study sample
| With depression ( | Without depression ( | OR (95 % CI)a |
| |
|---|---|---|---|---|
| No. (%) | No. (%) | |||
| Age (years) | ||||
| ≤35 | 45 (49.5) | 72 (53.3) | 1.0 (ref.) | |
| >35 | 46 (50.5) | 63 (46.7) | 1.16 (0.68–1.98) | 0.567 |
| Education | ||||
| Higher | 21 (23.1) | 48 (35.6) | 1.0 (ref.) | |
| Primary/secondary | 70 (76.9) | 87 (64.4) | 1.83 (1.00-3.35) | 0.046 |
| Employment status | ||||
| Employed | 5 (5.5) | 103 (76.3) | 1.0 (ref.) | |
| House wife | 86 (94.5) | 32 (23.7) | 5.34 (1.99–14.31) | <0.001 |
| Age at onset of disease (mean/SD) | 28.75 (7.71) | 30.02 (7.60) | 0.97 (0.94–1.01) | 0.225 |
| Disease duration (years) | ||||
| 0–8 | 62 (68.1) | 107 (79.3) | 1.0 (ref.) | |
| ≥ 9 | 29 (31.9) | 28 (20.7) | 1.78 (0.97-3.27) | 0.050 |
| Disease course | ||||
| RRMS | 66 (72.5) | 103 (76.3) | 1.0 (ref.) | |
| PPMS and SPMS | 25 (27.5) | 32 (23.7) | 0.82 (0.44–1.50) | 0.522 |
| EDSS score | ||||
| 0–4.5 | 52 (57.1) | 113 (83.7) | 1.0 (ref.) | |
| 5–8 | 39 (42.9) | 22 (16.2) | 3.85 (2.07–7.14) | < 0.001 |
| Received treatment for depression | ||||
| Yes | 7 (7.7) | 15b (11.1) | 1.0 (ref.) | |
| No | 84 (92.3) | 120 (88.9) | 0.66 (0.26–1.70) | 0.398 |
aDerived from univariate logistic regression analysis
bIn fact, these patients were indicated as ‘without depression’ based on cutoff value of the Beck Depression Inventory; otherwise clinicians recognized these patients as having depression and thus received treatment
EDSS scores of RRMS versus PPMS and SPMS groups
| RRMS | PPMS/SPMS | |
|---|---|---|
| No. (%) | No. (%) | |
| EDSS score | ||
| 0–4.5 | 145 (86) | 20 (35) |
| 5–8 | 24 (14.4) | 37 (65) |
| Mean (SD)* | 2.20 (0.16) | 2.08 (0.27) |
* P value for mean difference = 0.095
The results obtained from multiple logistic regression analysis indicating risk factors for depression (n = 226)
| OR (95 % CI) |
| |
|---|---|---|
| Age (years) | ||
| >35 | 1.0 (ref.) | |
| ≤35 | 1.03 (0.54–1.97) | 0.908 |
| Education | ||
| Higher | 1.0 (ref.) | |
| Primary/secondary | 1.09 (0.51–2.3) | 0.815 |
| Employment status | ||
| Employed | 1.0 (ref.) | |
| House wife | 4.75 (1.55–14.58) | 0.006 |
| Disease duration (years) | ||
| 0–8 | 1.0 (ref.) | |
| ≥ 9 | 1.34 (0.65–2.76) | 0.420 |
| Disease course | ||
| RRMS | 1.0 (ref.) | |
| PPMS and SPMS | 0.42 (0.18–0.98) | 0.046 |
| EDSS score | ||
| 0–4.5 | 1.0 (ref.) | |
| 5–8 | 4.88 (2.15–11.06) | < 0.001 |
| Age at onset of the disease | 0.96 (0.93–1.00) | 0.115 |
| Depression treatment | ||
| Yes | 1.0 (ref.) | |
| No | 1.21 (0.43–3.33) | 0.713 |
| 2 log-likelihood test | 267.24 | |
| Nagelkerke R2 | 0.206 | |
| Global percentage of identified cases | 69.5 | |