| Literature DB >> 32653913 |
Khedidja Hedna1,2, Gunnel Hensing3, Ingmar Skoog1,4, Johan Fastbom5, Margda Waern1,6.
Abstract
BACKGROUND: The treatment of depression is a main strategy for suicide prevention in older adults. Our aim was to examine factors related to suicide in older adults (75+) with and without antidepressant (AD) therapy.Entities:
Mesh:
Substances:
Year: 2020 PMID: 32653913 PMCID: PMC7536256 DOI: 10.1093/eurpub/ckaa114
Source DB: PubMed Journal: Eur J Public Health ISSN: 1101-1262 Impact factor: 3.367
Characteristics of Swedish older residents aged ≥75 years between 2006 and 2014 (N = 1 413 806) and of ADs users and non-users
| Characteristics | All 75+ (%) ( | Non-users of AD (%) ( | AD users (%) ( |
|
|---|---|---|---|---|
| Age (years): mean (SD), median | 80.5 (6), 79 | 79.8 (5.9), 77 | 82.5 (5.9), 82 | <0.0001 |
| Age range | 75–114 | 75–112 | 75–114 | |
| Age category | ||||
| 75–79 | 765 950 (54) | 605 939 (60) | 139 170 (37) | <0.0001 |
| 80–84 | 287 801 (20) | 182 111 (18) | 98 143 (26) | |
| 85–89 | 220 091 (16) | 130 342 (13) | 84 983 (23) | |
| ≥90 | 139 964 (10) | 86 249 (9) | 51 365 (14) | |
| Women | 817 154 (58) | 542 276 (54) | 250 565 (67) | <0.0001 |
| Marital status | ||||
| Married/registered partnership | 662 638 (47) | 504 017 (50) | 141 975 (38) | <0.0001 |
| Single | 101 574 (7) | 76 602 (8) | 22 758 (6) | |
| Widow/widower | 470 105 (33) | 297 637 (30) | 160 515 (43) | |
| Divorced | 174 408 (12) | 121 684 (12) | 48 103 (13) | |
| Missing | 5081 (0.4) | 4701 (0.5) | 310 (0.1) | |
| Country of birth | ||||
| Sweden | 1 262 287 (89) | 891 896 (89) | 338 922 (91) | <0.0001 |
| Nordic countries except Sweden | 70 472 (5) | 51 701 (5) | 16 736 (5) | |
| Other | 81 047 (6) | 61 044 (6) | 18 003 (5) | |
| Income category, | ||||
| Q1 | 352 593 (25) | 261 037 (26) | 81 505 (22) | <0.0001 |
| Q2–Q3 | 706 761 (50) | 482 813 (48) | 205 932 (55) | |
| Q4 | 354 452 (25) | 260 791 (26) | 86 224 (23) | |
| Social allowance | 8082 (0.6) | 5944 (0.6) | 1929 (0.5) | <0.0001 |
| Residence in institution | 120 949 (9) | 39 310 (4) | 79 797 (21) | <0.0001 |
| Previous episode of self-harm | 1952 (0.1) | 400 (0.04) | 1524 (0.4) | <0.0001 |
| Highest level of education | ||||
| Mandatory education | 715 024 (51) | 495 323 (49) | 201 397 (54) | <0.0001 |
| Upper secondary school | 315 145 (22) | 220 776 (22) | 85 758 (23) | |
| Higher education | 298 434 (21) | 223 028 (22) | 68 438 (18) | |
| Last known occupation | ||||
| Upper white collar worker | 318 624 (26) | 238 184 (24) | 72 969 (20) | <0.0001 |
| Lower white collar worker | 176 836 (13) | 120 495 (12) | 51 504 (14) | |
| Blue collar worker | 643 749 (46) | 453 871 (45) | 173 518 (46) | |
| Other | 78 195 (6) | 59 181 (6) | 17 394 (5) | |
| Missing | 196 402 (14) | 132 910 (13) | 58 276 (16) | |
| Specialized psychiatric care | 26 395 (2) | 7406 (0.7) | 18 075 (5) | <0.0001 |
In total, 35 504 persons taking tricyclic ADs and no other type of AD were excluded.
SD, standard deviation.
The Student’s t test for comparison between ADs users and non-users.
The χ2 test for dichotomous variable to establish if there are differences between users and non-users.
The χ2 test for variables with multiple categories to test for differences across categories.
Figure 1Methods of suicide in Swedish older adults aged ≥75 years with and without AD treatment and by gender
Figure 2Factors associated with suicide in Swedish older adults aged ≥75 years and in ADs users and non-users. The regression models were adjusted for age, country of birth, marital status, highest level of education, last registered occupation, monthly individual disposable income, use of specialized psychiatric care, use of other psychoactive medications, residence in institution and previous non-fatal self-harm
Figure 3Factors associated with suicide in Swedish older men and women aged ≥75 years and in ADs users and non-users. The regression models were adjusted for age, country of birth, marital status, highest level of education, last registered occupation, monthly individual disposable income, use of specialized psychiatric care, use of other psychoactive medications, residence in institution and previous non-fatal self-harm.