| Literature DB >> 32539817 |
Khedidja Hedna1,2, Johan Fastbom3, Ingmar Skoog4,5, Gunnel Hensing6, Margda Waern4,7.
Abstract
BACKGROUND: Late-life self-harm (SH) is often linked to depression. However, very few studies have explored the role of other factors and their interaction with depression in the occurrence of late-life SH. The objective of this research was to examine sociodemographic and gender factors associated with non-fatal SH, in older adults with and without antidepressant therapy.Entities:
Keywords: Antidepressants; Cohort study; Older adults; Pharmacoepidemiology; Registries; Self-harm; Sociodemographic factors
Mesh:
Substances:
Year: 2020 PMID: 32539817 PMCID: PMC7296708 DOI: 10.1186/s12889-020-08892-2
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Numbers and incidence rates of men and women with non-fatal self-harm in the total Swedish population aged ≥75 years and in antidepressants users and non-users
| N | Person-years | Persons with non-fatal self-harm (N) | Incidence rate of non-fatal self-harm per 100,000 person-year | ||
|---|---|---|---|---|---|
| 1,413,806 | 6,106,791 | 2242 | 36.7 | ||
| 596,652 | 2,570,948 | 980 | 38.1 | ||
| 817,154 | 3,535,843 | 1262 | 35.7 | ||
| 1,004,641 | 5,085,385 | 534 | 10.5 | ||
| 462,365 | 2,269,389 | 310 | 13.7 | ||
| 542,276 | 2,815,996 | 224 | 8 | ||
| 373,661 | 826,390 | 1476 | 178.6 | ||
| 123,096 | 241,672 | 592 | 245 | ||
| 250,565 | 584,718 | 884 | 151.2 | ||
N Number; AD Antidepressants
Fig. 1Factors associated with non-fatal self-harm in all persons aged ≥75 years and in antidepressants 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 specialised psychiatric care, use of other psychoactive medications, residence in institution at baseline and non-fatal self-harm in the previous year
Fig. 2Factors associated with non-fatal self-harm in men and women aged ≥75 years and in antidepressants 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 specialised psychiatric care, use of other psychoactive medications, residence in institution at baseline and non-fatal self-harm in the previous year
Fig. 3Methods of non-fatal self-harm in all persons aged ≥75 years and in antidepressants users and non-users