| Literature DB >> 34025479 |
Hajar Mohd Salleh Sahimi1, Tuti Iryani Mohd Daud2, Lai Fong Chan2, Shamsul Azhar Shah3, Farynna Hana Ab Rahman2, Nik Ruzyanei Nik Jaafar2.
Abstract
Objective: The burden of suicidal behavior is anticipated to increase as a sequela of the COVID-19 pandemic. However, there is limited evidence on suicidal behavior among healthcare workers, an at-risk population. Our study aimed to investigate suicidal ideation in terms of the rate and associated factors in a sample of Malaysian healthcare workers during the early-phase of the COVID-19 pandemic.Entities:
Keywords: COVID-19 pandemic; Malaysia; early phase; health-care workers; suicidal ideation
Year: 2021 PMID: 34025479 PMCID: PMC8136356 DOI: 10.3389/fpsyt.2021.658174
Source DB: PubMed Journal: Front Psychiatry ISSN: 1664-0640 Impact factor: 4.157
Association between socio-demographic, occupational, and clinical factors with current suicidal ideation among health care workers (N = 171).
| Age, | 0.756 | ||||
| 18–30 | 8 (42.11) | (19.13, 65.08) | 45 (29.61) | (22.27, 36.94) | |
| 31–40 | 10 (52.63) | (29.40, 75.86) | 93 (61.18) | (53.36, 69.01) | |
| 41–50 | 1 (5.26) | (−5.13, 15.65) | 9 (5.92) | (2.13, 9.71) | |
| 51–60 | 0 (0.00) | – | 5 (3.29) | (0.42, 6.15) | |
| Gender, | 0.812 | ||||
| Male | 6 (31.58) | (9.95, 53.21) | 44 (28.95) | (21.66, 36.23) | |
| Female | 13 (68.42) | (46.79, 90.05) | 108 (71.05) | (63.77, 78.34) | |
| Ethnicity, | 0.768 | ||||
| Malay | 16 (84.21) | (67.24, 101.18) | 118 (77.63) | (70.94, 84.33) | |
| Non-Malay | 3 (15.79) | (−1.18, 32.76) | 34 (22.37) | (15.67, 29.06) | |
| Relationship status, | 0.017 | ||||
| Married | 7 (6.60) | (14.40, 52.29) | 99 (93.40) | (57.48, 72.79) | |
| Single | 12 (18.46) | (40.71, 85.60) | 53 (81.54) | (27.21, 42.52) | |
| Education level, | 0.478 | ||||
| Diploma or lower | 7 (36.84) | (14.40, 59.29) | 44 (28.95) | (21.66, 36.23) | |
| Bachelor's degree or higher | 12 (63.16) | (40.71, 85.60) | 108 (71.05) | (63.77, 78.34) | |
| Occupation, | 0.744 | ||||
| Physician | 10(52.63) | (29.40, 75.86) | 86 (56.58) | (48.62, 64.54) | |
| Non-physician | 9 (47.37) | (24.14, 70.60) | 66 (43.42) | (35.36, 51.38) | |
| Anxiety, | 0.234 | ||||
| Yes | 4 (21.05) | (2.08, 40.02) | 15 (9.87) | (5.08,14.66) | |
| No | 15 (48.95) | (59.98, 97.91) | 137 (90.13) | (85.34, 94.92) | |
| Working hours per week, | 0.584 | ||||
| <40 h | 1 (5.26) | (−5.13, 15.65) | 22 (14.47) | (8.82, 20.13) | |
| 40–50 h | 11 (57.89) | (34.92, 80.87) | 85 (55.92) | (47.95, 63.90) | |
| >50 h | 7 (36.84) | (14.40, 59.29) | 45 (29.61) | (22.27, 36.94) | |
| Service duration (years), | 0.013 | ||||
| 1–3 | 8 (42.11) | (19.13, 65.08) | 21 (13.82) | (8.27, 19.36) | |
| 4–6 | 3 (15.79) | (−1.18, 32.76) | 35 (23.03) | (16.26, 29.79) | |
| 7–10 | 7 (36.84) | (14.40, 59.29) | 56 (36.84) | (29.09, 44.59) | |
| >10 | 1 (5.26) | (−5.13, 15.65) | 40 (26.32) | (19.24, 33.39) | |
| Severity of depressive symptoms (PHQ-9), | <0.001 | ||||
| Minimal | 2 (10.53) | (−3.75, 24.81) | 112(73.68) | (80.76, 66.61) | |
| Mild | 8 (42.11) | (65.08, 19.13) | 32 (21.05) | (27.60, 14.50) | |
| Moderate and severe (clinical) | 9 (47.37) | (70.60, 24.14) | 8 (5.26) | (1.67, 8.85) | |
| Health Anxiety (HAI score) (mean ± SD) | 20.32 (8.53) | 17.16 (6.44) | 0.027 ~ | ||
Bivariate analysis based on Chi squared test except for * & ~.
Fischer exact test.
~T-test.
Factors associated with current suicidal ideation based on multivariable logistic regression (N = 171).
| Married (vs. single) | 0.725 | 0.948 | 0.952 | 0.214 | 4.233 |
| Service duration (years) | |||||
| 1–3 (baseline) | – | – | – | – | – |
| 4-6 | 0.208 | 0.113 | 0.211 | 0.031 | 1.448 |
| 7-10 | 0.267 | 0.176 | 0.297 | 0.051 | 1.723 |
| > 10 | 0.096 | 0.049 | 0.072 | 0.005 | 0.993 |
| Total HAI score | 0.044 | 0.822 | 1.010 | 0.928 | 1.099 |
| Severity of depression | |||||
| Minimal depression (baseline) | – | – | – | – | – |
| Mild depression | 13.705 | 0.001 | 15.984 | 2.977 | 85.804 |
| Moderate to severe depression | 52.163 | <0.001 | 55.983 | 9.015 | 347.671 |