| Literature DB >> 28812400 |
Ingunn F Tvete1, Trine Bjørner2, Tor Skomedal3.
Abstract
OBJECTIVE: To compare how newly initiated treatment with benzodiazepines, Z-hypnotics or both associates with the reception of disability pension among 40,661 individuals of a working age.Entities:
Keywords: Benzodiazepines; Z-hypnotica; cox regression; disability pension; mental disorders; orescription register data; work life
Mesh:
Substances:
Year: 2017 PMID: 28812400 PMCID: PMC5592350 DOI: 10.1080/02813432.2017.1358436
Source DB: PubMed Journal: Scand J Prim Health Care ISSN: 0281-3432 Impact factor: 2.581
Baseline characteristics (numbers and percentages (in parenthesis)) for those who received disability pension (DP) and not (N = 40,661).
| Variables | Group | DP ( | Not DP ( |
|---|---|---|---|
| Demographics | |||
| Gender | Men | 1714 (37.52) | 14,798 (41) |
| Women | 2854 (72.48) | 2195 (59) | |
| Age (years) | 25–34 | 846 (18.52) | 11,774 (32.62) |
| 35–39 | 865 (18.94) | 8044 (22.29) | |
| 40–44 | 1191 (26.07) | 7774 (21.54) | |
| 45–50 | 1666 (36.47) | 8501 (23.55) | |
| Education | Low | 1958 (42.86) | 8553 (23.7) |
| Middle | 1891 (41.4) | 14,819 (41.06) | |
| High | 636 (13.92) | 11,184 (30.99) | |
| Unknown | 83 (1.82) | 1537 (4.26) | |
| Previous drugs used | Drugs for cardiac diseases | 457 (10) | 1984 (5.5) |
| Drugs for rheumatic diseases | 118 (2.58) | 515 (1.43) | |
| Opioids, antialcohol and smoke cessation drugs | 66 (1.44) | 66 (0.18) | |
| Drugs for COPD | 278 (6.09) | 1160 (3.21) | |
| Antipsychotics | 261 (5.71) | 534 (1.48) | |
| Antidepressants | 672 (14.71) | 2346 (6.5) | |
| Drugs | |||
| BZD/Z-hypnotics | BZD exclusively | 1449 (31.72) | 10,343 (28.66) |
| Z-hypnotics exclusively | 1483 (32.46) | 15,666 (43.4) | |
| BZD and Z-hypnotics | 1636 (35.81) | 10,084 (27.94) | |
| Prescriber | |||
| First prescriber by a psychiatrist | 214 (4.68) | 757 (2.1) |
Figure 1.Kaplan–Meier plots for the three user groups (only benzodiazepines, only Z-hypnotics and both) and known background characteristics.
Main analysis: fitted cox proportional hazard regression model adjusting for BZD/Z-hypnotic group, gender, age group, previous use of other drugs, first prescriber information and education level. (*Unadjusted model.).
| Variable (baseline) | Group | HR (95% CI) | |
|---|---|---|---|
| BZD/Z-hypnotics (BZD exclusively) | Z-hypnotics exclusively | 0.78 (0.73, 0.84) | <.001 |
| BZD and Z-hypnotics exclusively | 1.09 (1.01, 1.17) | <.001 | |
| Gender (men) | Women | 1.20 (1.13, 1.27) | <.001 |
| Age (25–34 years) | 34–39 | 1.49 (1.36, 1.64) | <.001 |
| 40–44 | 2.06 (1.88, 2.25) | <.001 | |
| 45–50 | 2.61 (2.40, 2.82) | <.001 | |
| Previous drugs used | Drugs for cardiac diseases | 1.38 (1.25, 1.53) | <.001 |
| Drugs for rheumatic diseases | 1.46 (1.21, 1.76) | <.001 | |
| Opioids, antialcohol or smoke cessation drugs | 4.02 (3.15, 5.15) | <.001 | |
| Drugs for COPD | 1.56 (1.38, 1.77) | <.001 | |
| Antipsychotics | 2.63 (2.31, 2.99) | <.001 | |
| Antidepressants | 1.86 (1.71, 2.02) | <.001 | |
| Psychiatrist first prescriber | 2.07 (1.80, 2.38) | <.001 | |
| Education (low) | Middle | 0.61 (0.58, 0.65) | <.001 |
| High | 0.29 (0.27, 0.32) | <.001 | |
| Unknown | 0.30 (0.24, 0.37) | <.001 | |
| *Model not adjusting for known background information. | |||
| BZD/Z-hypnotics (BZD exclusively) | Z-hypnotics exclusively | 0.69 (0.64, 0.74) | <.001 |
| BZD and Z-hypnotics exclusively | 1.13 (1.06, 1.21) | .001 | |
Additional analysis: fitted cox proportional hazard regression model adjusting for first BZD/Z-hypnotic redeemed for, gender, age group, previous use of other drugs, first prescriber information and education level. (*Unadjusted model.).
| Variable (baseline) | Group | HR (95% CI) | |
|---|---|---|---|
| BZD/Z-hypnotics (diazepam) | Alprazolam | 0.92 (0.58, 1.46) | .718 |
| Clonazepam | 2.22 (1.81, 2.71) | <.001 | |
| Nitrazepam/flunitrazepam | 1.02 (0.83, 1.24) | .885 | |
| Oxazepam | 1.05 (0.96, 1.15) | .297 | |
| Z-hypnotics | 0.90 (0.84, 0.97) | .006 | |
| Gender (men) | Women | 1.21 (1.14, 1.28) | <.001 |
| Age (25–34 years) | 34–39 | 1.48 (1.35, 1.63) | <.001 |
| 40–44 | 2.05 (1.88, 2.24) | <.001 | |
| 45–50 | 2.59 (2.38, 2.82) | <.001 | |
| Previous drugs used | Drugs for cardiac diseases | 1.38 (1.25, 1.53) | <.001 |
| Drugs for rheumatic diseases | 1.43 (1.19, 1.73) | <.001 | |
| Opioids, antialcohol or smoke cessation drugs | 4.07 (3.18, 5.20) | <.001 | |
| Drugs for COPD | 1.56 (1.38, 1.77) | <.001 | |
| Antipsychotics | 2.66 (2.34, 3.03) | <.001 | |
| Antidepressants | 1.87 (1.71, 2.03) | <.001 | |
| Psychiatrist first prescriber | 2.02 (1.76, 2.33) | <.001 | |
| Education (low) | Middle | 0.61 (0.57, 0.65) | <.001 |
| High | 0.28 (0.26, 0.31) | <.001 | |
| Unknown | 0.29 (0.23, 0.36) | <.001 | |
| *Model not adjusting for known background information. | |||
| BZD/Z-hypnotics (diazepam) | Alprazolam | 0.88 (0.55, 1.40) | .595 |
| Clonazepam | 2.55 (2.09, 3.12) | <.001 | |
| Nitrazepam/flunitrazepam | 0.99 (0.81, 1.20) | .884 | |
| Oxazepam | 1.11 (1.01, 1.21) | .027 | |
| Z-Hypnotics | 0.82 (0.76, 0.89) | <.001 | |