| Literature DB >> 33732534 |
Jung-Hwan Oh1,2, Jeong Rae Yoo3,2, Seo Young Ko4,2, Jeong Ho Kang5,2, Sung Kgun Lee5,2, Wooseong Jeong6,2, Gil Myeong Seong3,2, Hyun Jung Lee7,2, Sung Wook Song5,2.
Abstract
BACKGROUND: This study was conducted to identify the association between sleep duration and suicidal ideation among farmers in Korea.Entities:
Keywords: Farmers; Sleep; Suicide; Thinking
Year: 2020 PMID: 33732534 PMCID: PMC7940138 DOI: 10.1016/j.shaw.2020.10.004
Source DB: PubMed Journal: Saf Health Work ISSN: 2093-7911
Baseline characteristics in accordance with sleep duration.
| Overall | Average sleep duration per day | ||||
|---|---|---|---|---|---|
| <6 h | 6–8 h | >8 h | |||
| N = 964 | N = 235 | N = 675 | N = 54 | p | |
| Age, year | 60.4 ± 11.9 | 63.6 ± 11.9 | 58.9 ± 11.7 | 65.6 ± 10.6 | <0.001 |
| Sex (%) | 0.020 | ||||
| Male | 617 (64.0) | 134 (57.0) | 451 (66.8) | 32 (59.3) | |
| Female | 347 (36.0) | 101 (43.0) | 224 (33.2) | 22 (40.7) | |
| Suicidal ideation (%) | <0.001 | ||||
| No | 928 (96.3) | 216 (91.9) | 660 (97.8) | 52 (96.3) | |
| Yes | 36 (3.7) | 19 (8.1) | 15 (2.2) | 2 (3.7) | |
| Education level (%) | <0.001 | ||||
| Elementary school or less | 250 (25.9) | 97 (41.3) | 137 (20.3) | 16 (29.6) | |
| Middle school | 146 (15.1) | 29 (12.3) | 105 (15.6) | 12 (22.2) | |
| High school | 341 (35.4) | 77 (32.8) | 243 (36.0) | 21 (38.9) | |
| College or more | 227 (23.5) | 32 (13.6) | 190 (28.1) | 5 (9.3) | |
| Yearly income level, Korean Won, million (%) | 0.010 | ||||
| <15 | 189 (19.6) | 60 (25.5) | 114 (16.9) | 15 (27.8) | |
| 15–29 | 169 (17.5) | 34 (14.5) | 125 (18.5) | 10 (18.5) | |
| 30–59 | 179 (18.6) | 28 (11.9) | 141 (20.9) | 10 (18.5) | |
| ≥60 | 426 (44.2) | 113 (48.1) | 294 (43.6) | 19 (35.2) | |
| Nonresponders | 1 (0.1) | 0 (0.0) | 1 (0.1) | 0 (0.0) | |
| Farming types (%) | 0.158 | ||||
| Crop cultivation | 125 (13.0) | 33 (14.0) | 86 (12.7) | 6 (11.1) | |
| Fruit production | 415 (43.0) | 82 (34.9) | 308 (45.6) | 25 (46.3) | |
| Vegetable production | 329 (34.1) | 98 (41.7) | 215 (31.9) | 16 (29.6) | |
| Livestock production | 78 (8.1) | 18 (7.7) | 55 (8.1) | 5 (9.3) | |
| Others | 17 (1.8) | 4 (1.7) | 11 (1.6) | 2 (3.7) | |
| Employment types (%) | 0.121 | ||||
| Salary worker | 41 (4.3) | 15 (6.4) | 25 (3.7) | 1 (1.9) | |
| Self-employed | 880 (91.3) | 205 (87.2) | 625 (92.6) | 50 (92.6) | |
| Others | 28 (2.9) | 12 (5.1) | 14 (2.1) | 2 (3.7) | |
| Nonresponders | 15 (1.6) | 3 (1.3) | 11 (1.6) | 1 (1.9) | |
| Average working duration per day (%) | 0.555 | ||||
| <5 h | 269 (27.9) | 73 (31.1) | 178 (26.4) | 13 (33.4) | |
| 5–8 h | 501 (52.0) | 114 (48.5) | 361 (53.5) | 26 (48.1) | |
| >8 h | 191 (19.8) | 47 (20.0) | 134 (19.9) | 10 (18.5) | |
| Nonresponders | 3 (0.3) | 1 (0.4) | 2 (0.2) | 0 (0) | |
| Pesticide use (%) | 0.362 | ||||
| No | 76 (7.9) | 60 (8.9) | 14 (6.0) | 2 (3.7) | |
| Yes | 886 (91.9) | 613 (90.8) | 221 (94.0) | 52 (96.3) | |
| Nonresponders | 2 (0.2) | 2 (0.2) | 0 (0) | 0 (0) | |
| Pesticide application (%) | 0.375 | ||||
| Self | 694 (78.3) | 167 (75.6) | 486 (79.3) | 41 (78.8) | |
| Assistant | 121 (13.7) | 35 (15.8) | 80 (13.1) | 6 (11.5) | |
| Self and assistant | 47 (5.3) | 9 (4.1) | 35 (5.7) | 3 (5.8) | |
| Nonparticipants | 20 (2.3) | 8(3.6) | 10 (1.6) | 2 (3.8) | |
| Nonresponders | 4 (0.5) | 2(0.9) | 2 (0.3) | 0 (0) | |
| Past history of pesticide poisoning (%) | 0.860 | ||||
| No | 848 (95.7) | 211 (95.4) | 586 (95.6) | 51 (98.1) | |
| Yes | 32 (3.6) | 7 (3.2) | 24 (3.9) | 1 (1.9) | |
| Nonresponders | 6 (0.7) | 3 (1.4) | 3 (0.5) | 0 (0) | |
| Exercise times per week (%) | 0.506 | ||||
| None | 702 (72.8) | 180 (76.6) | 481 (71.3) | 41 (75.9) | |
| 1–3 times | 126 (13.1) | 24 (10.2) | 93 (13.8) | 9 (16.7) | |
| 4–7 times | 132 (13.7) | 30 (12.8) | 98 (14.5) | 4 (7.4) | |
| Nonresponders | 4 (0.4) | 1 (0.4) | 3 (0.4) | 0 (0.0) | |
| Subjective heath status (%) | 0.003 | ||||
| Poor | 250 (25.9) | 84 (35.7) | 153 (22.7) | 13 (24.1) | |
| Average | 384 (39.8) | 85 (36.2) | 277 (41.0) | 22 (40.7) | |
| Good | 330 (34.2) | 66 (28.1) | 245 (36.3) | 19 (35.2) | |
| Marital status (%) | 0.916 | ||||
| Single | 15 (1.6) | 3 (1.3) | 11 (1.6) | 1 (1.9) | |
| Married | 949 (98.4) | 232 (98.7) | 664 (98.4) | 53 (98.1) | |
| Depression (SF-GDS ≥8) (%) | <0.001 | ||||
| No | 832 (86.3) | 187 (79.6) | 600 (88.9) | 45 (83.3) | |
| Yes | 120 (12.4) | 48 (20.4) | 64 (9.5) | 8 (14.8) | |
| Nonresponders | 12 (1.2) | 0 (0) | 11 (1.6) | 1 (1.9) | |
| Cardiovascular disease (%) | 0.391 | ||||
| No | 902 (93.6) | 216 (91.9) | 634 (93.9) | 52 (96.3) | |
| Yes | 62 (6.4) | 19 (8.1) | 41 (6.1) | 2 (3.7) | |
| Smoking (%) | 0.039 | ||||
| Never | 486 (50.4) | 135 (57.4) | 323 (47.9) | 28 (51.9) | |
| Former or current | 478 (49.6) | 100 (42.6) | 352 (52.1) | 26 (48.1) | |
| Alcohol intake per month (%) | <0.001 | ||||
| No alcohol intake | 119 (12.3) | 31 (13.2) | 80 (11.9) | 8 (14.8) | |
| 1 time or less | 158 (16.4) | 33 (14.0) | 118 (17.5) | 7 (13.0) | |
| 2–4 times | 146 (15.1) | 24 (10.2) | 113 (16.7) | 9 (16.7) | |
| 5 times or more | 305 (31.6) | 62 (26.4) | 232 (34.4) | 11 (20.4) | |
| Non-responders | 236 (24.5) | 85 (36.2) | 132 (19.6) | 19 (35.2) | |
| Thyroid diseases (%) | 0.847 | ||||
| No | 914 (94.8) | 224 (95.3) | 638 (94.5) | 52 (96.3) | |
| Yes | 48 (5.0) | 10 (4.3) | 36 (5.3) | 2 (3.7) | |
| Nonresponders | 2 (0.2) | 1 (0.4) | 1 (0.1) | 0 (0.0) | |
| Musculoskeletal diseases (%) | 0.044 | ||||
| No | 626 (64.9) | 133 (56.6) | 456 (67.6) | 37 (68.5) | |
| Yes | 334 (34.6) | 101 (43.0) | 216 (32.0) | 17 (31.5) | |
| Nonresponders | 4 (0.4) | 1 (0.4) | 3 (0.4) | 0 (0.0) | |
| Cardiovascular risk factors (%) | 0.043 | ||||
| No | 557 (57.8) | 126 (53.6) | 408 (60.4) | 23 (42.6) | |
| Yes | 405 (42.0) | 109 (46.4) | 265 (39.3) | 31 (57.4) | |
| Nonresponders | 2 (0.2) | 0 (0.0) | 2 (0.3) | 0 (0.0) | |
| Cancer (%) | 0.259 | ||||
| No | 698 (72.4) | 158 (67.2) | 501 (74.2) | 39 (72.2) | |
| Yes | 59 (6.1) | 19 (8.1) | 38 (5.6) | 2 (3.7) | |
| Nonresponders | 207 (21.5) | 58 (24.7) | 136 (20.1) | 13 (24.1) | |
Data are N (%) or mean ± standard deviation values.
SF-GDS, short form of geriatric depression scale.
Multivariable analyses for association between suicidal ideation and sleep duration
| Model 1 | Model 2 | Model 3 | |
|---|---|---|---|
| OR (95% CI) | OR (95% CI) | OR (95% CI) | |
| Average sleep duration per day | |||
| <6 h | 2.93 (1.40–6.12) | 5.41 (1.05–5.41) | 2.49 (1.07–5.77) |
| 6–8 h | Reference | Reference | Reference |
| >8 h | 1.42 (0.30–6.72) | 6.83 (0.26–6.83) | 0.80 (0.14–4.71) |
| Sex | 1.70 (0.79–3.68) | 1.33 (0.57–3.08) | 3.28 (0.85–12.68) |
| Age | 1.00 (0.96–1.05) | 0.99 (0.95–1.04) | 1.00 (0.95–1.05) |
| Education level | |||
| Elementary school or less | Reference | Reference | Reference |
| Middle school | 0.37 (0.10–1.37) | 0.35 (0.08–1.46) | 0.37 (0.08–1.67) |
| High school | 0.46 (0.16–1.34) | 0.67 (0.20–2.23) | 0.75 (0.20–2.79) |
| College or more | 0.47 (0.11–1.97) | 0.90 (0.17–4.70) | 0.91 (0.16–5.17) |
| Yearly income level, Korean Won | |||
| <15 | Reference | Reference | Reference |
| 15–29 | 0.64 (0.19–2.16) | 0.70 (0.19–2.54) | 0.81 (0.21–3.06) |
| 30–59 | 0.55 (0.14–2.10) | 0.67 (0.16–2.79) | 0.63 (0.14–2.79) |
| ≥60 | 0.95 (0.42–2.14) | 1.05 (0.43–2.56) | 0.98 (0.39–2.49) |
| Marital status | 0.11 (0.03–0.49) | 0.08 (0.02–0.39) | 0.07 (0.02–0.31) |
| Depression (SF-GDS≥8) | 17.72 (7.68–40.87) | 15.64 (6.24–39.24) | |
| Farming types | |||
| Crop cultivation | Reference | ||
| Fruit production | 1.43 (0.41–5.04) | ||
| Vegetable production | 0.57 (0.16–2.06) | ||
| Livestock production | 1.81 (0.27–12.02) | ||
| Others | 3.98 (0.65–24.44) | ||
| Subjective heath status | |||
| Poor | Reference | ||
| Average | 0.89 (0.35–2.24) | ||
| Good | 0.77 (0.24–2.49) | ||
| Smoking | 2.73 (0.69–10.78) | ||
| Musculoskeletal diseases | 1.43 (0.62–3.29) | ||
| Cardiovascular risk factors | 1.34 (0.59–3.04) | ||
OR, odds ratio; CI, confidence interval; SF-GDS, short form of geriatric depression scale.
p < 0.05.
p < 0.01.
p < 0.001.