| Literature DB >> 35546935 |
Christian Rauschert1, Nicki-Nils Seitz1, Sally Olderbak1,2, Oliver Pogarell3, Tobias Dreischulte4, Ludwig Kraus1,5,6.
Abstract
Background: Abuse of non-opioid analgesics (NOA) is associated with serious health consequences. However, due to inconsistent definitions of NOA abuse, prevalence estimates for the German population are unclear.Entities:
Keywords: abuse; analgesics; epidemiological survey; non-opioid; over-the-counter; self-medication
Year: 2022 PMID: 35546935 PMCID: PMC9081647 DOI: 10.3389/fpsyt.2022.864389
Source DB: PubMed Journal: Front Psychiatry ISSN: 1664-0640 Impact factor: 5.435
Sociodemographic, behavioral- and health-related characteristics of individuals using NOA and individuals included in multiple logistic regression analysis.
| Characteristics | User of NOA ( | Respondents included in multiple logistic regression model ( |
|
| ||
| Age group, years | ||
| 18 to 24 | 1,132 (13.2) | 1,093 (13.5) |
| 25 to 39 | 1,465 (35.7) | 1,397 (36.0) |
| 40 to 59 | 1,420 (45.7) | 1,332 (45.4) |
| 60 to 64 | 239 (5.4) | 216 (5.2) |
| Mean ( | 39.9 (0.2) | 39.7 (0.2) |
| Gender | ||
| Male | 1,556 (42.6) | 1,480 (42.9) |
| Female | 2,700 (57.4) | 2,558 (57.1) |
| ISCED | ||
| Low | 436 (11.2) | 402 (10.6) |
| Middle | 1,975 (48.6) | 1,887 (48.8) |
| High | 1,830 (40.3) | 1,749 (40.6) |
| Not reported | 15 | – |
| Unemployed | ||
| Yes | 716 (13.0) | 694 (13.0) |
| No | 3,491 (87.0) | 3,344 (87.0) |
| Not reported | 49 | – |
| Poverty | ||
| Yes | 475 (11.2) | 434 (10.4) |
| No | 3,781 (88.8) | 3,604 (89.6) |
| Municipality size | ||
| Rural | 178 (4.4) | 168 (4.3) |
| Small town | 310 (7.4) | 299 (7.6) |
| Town | 833 (19.7) | 788 (19.8) |
| City | 2,935 (68.6) | 2,783 (68.3) |
| Inexplicable physical pain | ||
| Yes | 627 (14.7) | 588 (14.6) |
| No | 3,618 (85.3) | 3,450 (85.4) |
| Not reported | 11 | – |
| Body Mass Index (BMI) | ||
| Underweight (< 18.5 kg/m2) | 142 (2.3) | 138 (2.4) |
| Normal | 2,418 (49.7) | 2,314 (50.1) |
| Overweight | 1,129 (31.6) | 1,064 (31.6) |
| Obese | 567 (16.4) | 522 (15.9) |
| Depression | ||
| Yes | 1,519 (36.3) | 1,436 (36.0) |
| No | 2,725 (63.7) | 2,602 (64.0) |
| Not reported | 12 | – |
| Hazardous alcohol use | ||
| Yes | 952 (19.7) | 903 (19.4) |
| No | 3,272 (80.3) | 3,135 (80.6) |
| Not reported | 32 | – |
| Daily smoking | ||
| Yes | 652 (19.9) | 601 (19.2) |
| No | 3,574 (80.1) | 3,437 (80.8) |
| Not reported | 30 | – |
| Illegal drug use | ||
| Yes | 96 (2.0) | 89 (2.0) |
| No | 4,150 (98.0) | 3,949 (98.0) |
| Not reported | 10 | – |
| Cannabis use | ||
| Yes | 442 (7.6) | 411 (7.3) |
| No | 3,814 (92.4) | 3,627 (92.7) |
| Opioid analgesic use | ||
| Yes | 134 (3.5) | 123 (3.2) |
| No | 4,096 (96.5) | 3,915 (96.8) |
| Not reported | 26 | – |
| Frequency NOA | ||
| < 1 time per week | 3,215 (73.4) | 3,095 (73.8) |
| ≥ 1 time per week | 919 (23.8) | 865 (23.5) |
| Daily use | 87 (2.9) | 78 (2.7) |
| Not reported | 35 | – |
| NOA abuse | ||
| Yes | 569 (14.6) | 523 (14.0) |
| No | 3,669 (85.4) | 3,515 (86.0) |
| Not reported | 18 | – |
| Mode of administration | ||
| Telephone (CATI) | 1,264 (29.0) | 1,231 (30.0) |
| Paper-pencil (PAPI) | 1,548 (38.6) | 1,380 (35.9) |
| Internet (CAWI) | 1,444 (32.4) | 1,427 (34.1) |
n = observations; % = weighted prevalence rates; NOA = non-opioid analgesics; ISCED = International Standard Classification of Education;
Sociodemographic- behavioral- and health-related characteristics of abuser and non-abuser of non-opioid analgesics (NOA).
| Characteristics | Non-abuser of NOA ( | Abuser of NOA ( | χ |
|
|
| Age group, years | 22.2 | (3) | 0.072 | ||
| 18 to 24 | 950 (13.6) | 143 (12.6) | |||
| 25 to 39 | 1,230 (36.8) | 167 (31.0) | |||
| 40 to 59 | 1,146 (44.4) | 186 (51.3) | |||
| 60 to 64 | 189 (5.2) | 27 (5.0) | |||
| Gender | 0.23 | (1) | 0.806 | ||
| Male | 1,299 (43.0) | 181 (42.3) | |||
| Female | 2,216 (57.0) | 342 (57.7) | |||
| ISCED | 19.89 | (2) | 0.096 | ||
| Low | 336 (10.2) | 66 (13.5) | |||
| Middle | 1,646 (48.5) | 241 (50.5) | |||
| High | 1,533 (41.3) | 216 (36.0) | |||
| Unemployed | 14.96 | (1) |
| ||
| Yes | 587 (12.4) | 107 (16.3) | |||
| No | 2,928 (87.6) | 416 (83.7) | |||
| Poverty | 41.55 | (1) |
| ||
| Yes | 361 (9.5) | 73 (15.5) | |||
| No | 3,154 (90.5) | 450 (84.5) | |||
| Municipality size | 9.06 | (3) | 0.472 | ||
| Rural | 147 (4.5) | 21 (3.1) | |||
| Small town | 264 (7.8) | 35 (6.4) | |||
| Town | 677 (19.7) | 111 (20.7) | |||
| City | 2,427 (68.1) | 356 (69.8) | |||
| Inexplicable physical pain | 268.96 | (1) |
| ||
| Yes | 433 (12.1) | 155 (29.7) | |||
| No | 3,082 (87.9) | 368 (70.3) | |||
| Body Mass Index (BMI) | 34.53 | (3) |
| ||
| Underweight (< 18.5 kg/m2) | 114 (2.2) | 24 (3.9) | |||
| Normal | 2,034 (51.1) | 280 (44.1) | |||
| Overweight | 929 (31.4) | 135 (32.7) | |||
| Obese | 438 (15.4) | 84 (19.3) | |||
| Depression | 223.21 | (1) |
| ||
| Yes | 1,156 (33.0) | 280 (54.8) | |||
| No | 2,359 (67.0) | 243 (45.2) | |||
| Hazardous alcohol use | 25.00 | (1) |
| ||
| Yes | 766 (18.5) | 137 (24.5) | |||
| No | 2,749 (81.5) | 386 (75.5) | |||
| Daily smoking | 64.31 | (1) |
| ||
| Yes | 494 (17.8) | 107 (27.4) | |||
| No | 3,021 (82.2) | 416 (72.6) | |||
| Illegal drugs use | 56.97 | (1) |
| ||
| Yes | 64 (1.5) | 25 (4.7) | |||
| No | 3,451 (98.5) | 498 (95.3) | |||
| Cannabis use | 0.11 | (1) | 0.845 | ||
| Yes | 354 (7.2) | 57 (7.5) | |||
| No | 3,161 (92.8) | 466 (92.5) | |||
| Opioid analgesic use | 82.85 | (1) |
| ||
| Yes | 87 (2.6) | 36 (7.5) | |||
| No | 3,428 (97.4) | 487 (92.5) | |||
| Frequency NOA | 407.24 | (2) |
| ||
| < 1 time per week | 2,806 (77.4) | 289 (51.2) | |||
| ≥ 1 time per week | 657 (20.5) | 208 (41.8) | |||
| Daily use | 52 (2.0) | 26 (7.0) | |||
| Mode of administration | 3.32 | (2) | 0.632 | ||
| Telephone (CATI) | 1,077 (30.1) | 154 (29.4) | |||
| Paper-pencil (PAPI) | 1,190 (35.5) | 190 (38.1) | |||
| Internet (CAWI) | 1,248 (34.4) | 179 (32.5) | |||
n = observations; % = weighted prevalence rates. NOA = non-opioid analgesics; ISCED = International Standard Classification of Education. Text in bold face denotes statistical significance with p < 0.05.
Multiple logistic regression model for factors associated with NOA abuse among user of NOA (n = 4,038).
| Abuse of NOA | |||
|
|
|
| |
| Age group, years | |||
| 18 to 24 |
| ||
| 25 to 39 | 0.96 | 0.799 | (0.70–1.32) |
| 40 to 59 | 1.34 | 0.092 | (0.95–1.88) |
| 60 to 64 | 1.15 | 0.651 | 0.63–2.09) |
| Gender | |||
| Male |
| ||
| Female | 0.88 | 0.353 | (0.68–1.15) |
| ISCED | |||
| Low |
| ||
| Middle | 1.02 | 0.951 | (0.61–1.69) |
| High | 1.02 | 0.948 | (0.58–1.79) |
| Unemployed | |||
| Yes | 1.11 | 0.558 | (0.82.1.86) |
| No |
| ||
| Poverty | |||
| Yes | 1.24 | 0.303 | (0.82–1.86) |
| No |
| ||
| Municipality size | |||
| Rural |
| ||
| Small town | 1.10 | 0.809 | (0.49–2.48) |
| Town | 1.71 | 0.102 | (0.90–3.25) |
| City | 1.59 | 0.139 | (0.86–2.92) |
| Inexplicable physical pain | |||
| Yes |
|
| |
| No |
| ||
| Body Mass Index (BMI) | |||
| Underweight (< 18.5 kg/m2) |
|
| |
| Normal (18.5 to < 25 kg/m2) |
| ||
| Overweight (25 to < 30 kg/m2) | 1.01 | 0.958 | (0.75–1.36) |
| Obese (≥ 30 kg/m2) | 1.07 | 0.651 | (0.79–1.46) |
| Depression | |||
| Yes |
|
| |
| No |
| ||
| Hazardous alcohol use | |||
| Yes |
|
| |
| No |
| ||
| Daily smoking | |||
| Yes |
|
| |
| No |
| ||
| Illegal drugs use | |||
| Yes |
|
| |
| No |
| ||
| Cannabis use | |||
| Yes |
|
| |
| No |
| ||
| Opioid analgesic use | |||
| Yes | 1.41 | 0.242 | (0.79–2.53) |
| No |
| ||
| Frequency NOA | |||
| < 1 time per week |
| ||
| ≥ 1 time per week |
|
| |
| Daily use |
|
| |
| Mode of administration | |||
| Telephone (CATI) |
| ||
| Paper-pencil (PAPI) | 1.04 | 0.802 | (0.76–1.43) |
| Internet (CAWI) | 1.00 | 0.982 | (0.73–1.35) |
OR: weighted Odds ratio; 95%-CI: 95% confidence interval; Ref.: reference category; NOA = non-opioid analgesics; ISCED = International Standard Classification of Education. Text in bold face denotes statistical significance with p < 0.05.