| Literature DB >> 27388362 |
Tam Truong Donnelly1, Jassim Mohd Al Suwaidi2, Awad Al-Qahtani2, Nidal Asaad2, Tak Fung3, Rajvir Singh4, Najlaa Abdul Qader5.
Abstract
OBJECTIVES: Depression is associated with increased morbidity and mortality rates among cardiovascular patients. Depressed patients have three times higher risk of death than those who are not. We sought to determine the presence of depressive symptoms, and whether gender and age are associated with depression among Arab patients hospitalised with cardiac conditions in a Middle Eastern country.Entities:
Keywords: Arab women’s mental health; Depression among cardiac patients; Impact of gender and age; depression among Arab cardiac patients
Mesh:
Year: 2016 PMID: 27388362 PMCID: PMC4947790 DOI: 10.1136/bmjopen-2016-011873
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Selected demographic characteristics of participants
| Variables | Male | Female |
|---|---|---|
| Age (years; n=1000) | ||
| 20–39 | 62 (9%) | 18 (6%) |
| 40–49 | 121 (18%) | 27 (9%) |
| 50–59 | 198 (29%) | 77 (25%) |
| 60–69 | 176 (26%) | 115 (37%) |
| 70+ | 131 (19%) | 75 (24%) |
| Nationality (n=1000) | ||
| Qatari | 286 (42%) | 169 (54%) |
| Levant | 140 (20%) | 62 (20%) |
| North Africa | 143 (21%) | 29 (9%) |
| Other GCC | 38 (6%) | 23 (7%) |
| Other | 81 (12%) | 29 (9%) |
| Years of residence in Qatar (n=989) | ||
| ≤5 | 127 (19%) | 53 (17%) |
| 6–10 | 49 (7%) | 7 (2%) |
| >10 | 504 (74%) | 249 (81%) |
| Religion (n=1000) | ||
| Muslim | 674 (98%) | 311 (99.7%) |
| Other | 14 (2%) | 1 (0.3%) |
| Religion practice (n=995) | ||
| Active | 278 (41%) | 182 (59%) |
| Somewhat active | 347 (51%) | 116 (37%) |
| Not active | 59 (8%) | 13 (4%) |
| Marital status (n=1000) | ||
| Single | 40 (6%) | 12 (4%) |
| Married | 619 (90%) | 151 (48%) |
| Divorced/separated/widowed | 29 (4%) | 149 (48%) |
| Patient education (n=1000) | ||
| No school | 91 (13%) | 126 (40%) |
| Primary/junior School | 173 (25%) | 98 (31%) |
| High/trade school | 158 (23%) | 50 (16%) |
| University/above | 266 (39%) | 38 (12%) |
| Patient occupation (n=1000) | ||
| Unemployed/retired/student | 264 (38%) | 38 (12%) |
| Home-maker | 0 | 251 (80%) |
| Self-employed | 56 (8%) | 1 (0.3%) |
| Unskilled worker | 39 (6%) | 0 |
| Skilled worker | 329 (48%) | 22 (7%) |
GCC, Gulf Cooperation Council.
Self-reported prevalence of depression
| Variables | Male | Female |
|---|---|---|
| BDI-II depression category (n=1000) | ||
| Normal | 579 (84%) | 219 (70%) |
| Mild mood disturbance | 80 (12%) | 64 (21%) |
| Clinical depression | 29 (4%) | 29 (9%) |
| Patient considers him(her)self depressed (n=1000) | ||
| No | 585 (85%) | 240 (77%) |
| Yes | 103 (15%) | 72 (23%) |
| History of depression (n=1000) | ||
| No | 643 (93%) | 286 (92%) |
| Yes | 45 (7%) | 26 (8%) |
| Years diagnosed with depression (n=63) | ||
| ≤5 | 20 (51%) | 7 (29%) |
| >5 | 19 (49%) | 17 (71%) |
| Family members with depression (n=999) | ||
| No | 639 (93%) | 284 (91%) |
| Yes | 49 (7%) | 27 (9%) |
| Patient taking depression medication at the time of interview (n=1000) | ||
| No | 680 (99%) | 303 (97%) |
| Yes | 8 (1%) | 9 (3%) |
BDI-II, Beck Depression Inventory Second Edition.
Association between selected sociodemographic factors with gender broken down by depression categories
| Normal (0–10) | Mild mood disturbance (11–16) | Clinical depression (≥17) | |||||||
|---|---|---|---|---|---|---|---|---|---|
| Variables | Male | Female | p Value | Male | Female | p Value | Male | Female | p Value |
| Nationality | |||||||||
| Qatari | 251 (43.4) | 122 (55.7) | χ2(4, N=798)=20.8, p<0.01* | 20 (25) | 34 (53.1) | χ2(4, N=144)=12.07, p=0.02* | 15 (51.7) | 13 (44.8) | χ2(4, N=58) =6.3, p=0.18 |
| Other GCC | 32 (5.5) | 18 (8.2) | 5 (6.2) | 3 (4.7) | 1 (3.4) | 2 (6.9) | |||
| Levant | 109 (18.8) | 38 (17.4) | 26 (32.5) | 13 (20.3) | 5 (17.2) | 11 (37.9) | |||
| North Africa | 116 (20) | 18 (8.2) | 21 (26.2) | 10 (15.6) | 6 (20.7) | 1 (3.4) | |||
| Other | 71 (12.3) | 23 (10.5) | 8 (10) | 4 (6.2) | 2 (6.9) | 2 (6.9) | |||
| Age (years) | |||||||||
| 20–39 | 50 (8.6) | 10 (4.6) | χ2(4, N=798)=18.4, p<0.01* | 8 (10) | 2 (3.1) | χ2(4, N=144)=11.8, p=0.02* | 4 (13.8) | 6 (20.7) | χ2(4, N=58)=14.9, p<0.01* |
| 40–49 | 88 (15.2) | 20 (9.1) | 21 (26.2) | 6 (9.4) | 12 (41.4) | 1 (3.4) | |||
| 50–59 | 169 (29.2) | 51 (23.3) | 21 (26.2) | 19 (29.7) | 8 (27.6) | 7 (24.1) | |||
| 60–69 | 151 (26.1) | 82 (37.4) | 23 (28.8) | 25 (39.1) | 2 (6.9) | 8 (27.6) | |||
| 70+ | 121 (20.9) | 56 (25.6) | 7 (8.8) | 12 (18.8) | 3 (10.3) | 7 (24.1) | |||
| Patient education | |||||||||
| No school | 84 (14.5) | 89 (40.6) | χ2(3,N=798)=90, p<0.01* | 5 (6.2) | 23 (35.9) | χ2(3, N=144) =27,p<0.01* | 2 (6.9) | 14 (48.3) | χ2(3, N=58)=17.9, p<0.01* |
| Primary/junior school | 146 (25.2) | 68 (31.1) | 19 (23.8) | 20 (31.2) | 8 (27.6) | 10 (34.5) | |||
| High/trade school | 136 (23.5) | 38 (17.4) | 18 (22.5) | 10 (15.6) | 4 (13.8) | 2 (6.9) | |||
| University/above | 213 (36.8) | 24 (11) | 38 (47.5) | 11 (17.2) | 15 (51.7) | 3 (10.3) | |||
| Patient occupation | |||||||||
| Unemployed/retired/student | 227 (45.1) | 23 (10.5) | χ2 (2, N=722)=551.6, p<0.001* | 25 (35.7) | 13 (20.6) | χ2(2, N=133)=87.4, p<0.001* | 12 (60.0) | 2 (6.9) | c |
| Home-maker | 0 (0) | 180 (82.2) | 0 (0) | 47 (74.6) | 0 (0) | 24 (82.8) | |||
| Skilled worker | 276 (54.9) | 16 (7.3) | 45 (54.3) | 3 (4.8) | 8 (40.0) | 3 (10.3) | |||
| Patient employment-fulltime | |||||||||
| No | 273 (47.2) | 206 (94.1) | χ2(1, N=798)=145, p<0.01* | 31 (38.8) | 62 (96.9) | χ2(1, N=144)=50.9, p<0.01* | 1 (51.7) | 26 (89.7) | χ2(1, N=58)=10.1, p=0.02* |
| Yes | 306 (52.8) | 13 (5.9) | 49 (61.2) | 2 (3.1) | 14 (48.3) | 3 (10.3) | |||
*Significant at 0.05 level; numbers within the brackets below cell frequencies count are column percentages.
Association between selected significant factors and depression
| Predictors of depression (1=normal, 2=mild, 3=severe) | Test statistics and associated degree of freedom | Adjusted OR (95% CI) | p Value |
|---|---|---|---|
| Female | χ2(1)=4.18, p=0.041 | 2.75 (1.05 to 7.24) | 0.041 |
| Age group | χ2(4)=11.10, p=0.026 | ||
| 20–39 | 2.16 (0.74 to 6.36) | 0.161 | |
| 40–49 | 4.08 (1.72 to 9.69) | 0.001 | |
| 50–59 | 2.04 (0.94 to 4.43) | 0.073 | |
| 60–69 | 1.81 (0.86 to 3.83) | 0.118 | |
| 70 and older | 1.00 | ||
| Nationality | χ2(4)=5.87, p=0.015 | ||
| Other | 1.18 (0.45 to 3.12) | 0.743 | |
| Other GCC | 1.40 (0.48 to 4.07) | 0.532 | |
| Levant | 2.20 (0.98 to 4.93) | 0.056 | |
| North Africa | 1.30 (0.49 to 3.44) | 0.597 | |
| Qatari | 1.00 | ||
| History | χ2(1)=25.14, p<0.001 | 5.60 (2.92 to 10.77) | <0.001 |
| Family history | χ2(1)=5.63, p=0.018 | 2.23 (1.18 to 4.20) | 0.018 |
| Financial stress | χ2(1)=6.51, p=0.011 | 2.01 (1.18 to 3.46) | 0.011 |
| Financial support | χ2(4)=14.46, p=0.006 | ||
| Excellent | 0.89 (0.27 to 2.95) | 0.845 | |
| Good | 1.00 (0.38 to 2.69) | 0.994 | |
| Fair | 2.39 (0.96 to 5.93) | 0.060 | |
| Poor | 1.01 (0.35 to 2.96) | 0.985 | |
| Very poor | 1.00 |