| Literature DB >> 32393219 |
Manuela Silva1, Ana Antunes2, Sofia Azeredo-Lopes3, Graça Cardoso2, Miguel Xavier4, Benedetto Saraceno2, José Miguel Caldas-de-Almeida2.
Abstract
BACKGROUND: Research suggests that economic recessions might be associated with a higher use of psychotropic drugs, but literature is scarce and contradictory in identifying the most vulnerable groups. This study aims to assess possible changes in the use of psychotropic drugs due to the economic recession in Portugal, by comparing self-reported consumption in 2008/09 and 2015/16.Entities:
Keywords: Age; Economic recession; Gender; Psychotropic drugs; Public health
Mesh:
Substances:
Year: 2020 PMID: 32393219 PMCID: PMC7216710 DOI: 10.1186/s12888-020-02620-1
Source DB: PubMed Journal: BMC Psychiatry ISSN: 1471-244X Impact factor: 3.630
Characteristics of the study sample
| Gender | |
| Men | 328 (49.6) |
| Women | 583 (50.4) |
| Age | |
| 18–49 at baseline | 545 (59.8) |
| ≥ 50 at baseline | 366 (40.2) |
| Education (years) | 9.22 (4.83) |
a%, N unweighted; means and standard deviations (sd) estimated with weighting from follow-up study
Estimates of the use of psychotropic drugs in 2009, 2015 and the difference between those years
| 20.9 | 28.2 | 6.74 (3.89–9.60)b | |
| Men | 11.5 | 19.1 | 7.97 (4.23–11.71)b |
| Women | 30.9 | 37.2 | 5.54 (1.25–9.84)b |
| 18–49 at baseline | 15.3 | 25.7 | 9.85 (5.90–13.79)b |
| ≥ 50 at baseline | 29.8 | 32.0 | 2.21(−1.76–6.18) |
| 8.3 | 11.0 | 2.80 (0.65–4.95)b | |
| Men | 3.6 | 5.4 | 1.81 (−0.53–4.17) |
| Women | 12.9 | 16.6 | 3.75 (0.18–7.33)b |
| 18–49 at baseline | 7.9 | 12.5 | 4.72 (1.81–7.62)b |
| ≥ 50 at baseline | 9.1 | 8.9 | 0.28 (−3.40–2.84) |
| 12.3 | 14.5 | 2.36 (−0.32–5.04) | |
| Men | 7.8 | 11.4 | 3.41 (−0.05–6.87) |
| Women | 16.9 | 17.7 | 1.33 (−2.75–5.42) |
| 18–49 at baseline | 8.9 | 13.4 | 4.73 (1.21–8.24)b |
| ≥ 50 at baseline | 17.4 | 16.3 | 1.11 (−5.24–3.03) |
| 11.4 | 16.9 | 4.81 (2.30–7.31)b | |
| Men | 5.4 | 12.6 | 7.30 (3.96–10.62) b |
| Women | 17.6 | 21.1 | 2.21(−1.51–5.92) |
| 18–49 at baseline | 7.0 | 13.8 | 5.84 (2.72–8.95)b |
| ≥ 50 at baseline | 18.2 | 21.5 | 3.31 (−0.86–7.47) |
a McNemar’s test
% weighted
bStatistical significance considered when 95%CI does not contain 0
CI Confidence interval
Estimates of the use of psychotropic drugs obtained from multiple Generalised Estimating Equations models
| 2015 | 1.50 | 1.13–2.01** |
| Women | 2.79 | 2.03–3.84*** |
| ≥ 50 at baseline | 1.80 | 1.28–2.54*** |
| 2015 | 1.37 | 0.97–1.93 |
| Women | 3.49 | 2.25–5.43*** |
| ≥ 50 at baseline | 0.83 | 0.55–1.26 |
| 2015 | 1.22 | 0.85–1.74 |
| Women | 1.89 | 1.27–2.81** |
| ≥ 50 at baseline | 1.84 | 1.21–2.79** |
| 2015 | 1.60 | 1.14–2.25** |
| Women | 2.40 | 1.64–3.51*** |
| ≥ 50 at baseline | 1.85 | 1.23–2.79** |
Year 2009, gender men and age 18–49 at baseline considered as reference categories across all models
All analysis adjusted for education
** p < 0.01
*** p < 0.001
Estimates of the interaction effects of gender and year in the population odds of consumption
| Men*2015 | 1.85 | 1.08–3.17* |
| Women*2015 | 1.34 | 0.96–1.87 |
| 18–49 at baseline*2015 | 1.95 | 1.32–2.90* |
| ≥ 50 at baseline*2015 | 1.13 | 0.74–1.71 |
| Men*2015 | 1.51 | 0.69–3.31 |
| Women*2015 | 1.32 | 0.91–1.93 |
| 18–49 at baseline*2015 | 1.68 | 1.05–2.68* |
| ≥ 50 at baseline*2015 | 0.99 | 0.61–1.60 |
| Men*2015 | 1.49 | 0.76–2.93 |
| Women*2015 | 1.07 | 0.71–1.62 |
| 18–49 at baseline*2015 | 1.59 | 0.96–2.65 |
| ≥ 50 at baseline*2015 | 0.92 | 0.56–1.52 |
| Men*2015 | 2.60 | 1.36–4.98* |
| Women*2015 | 1.26 | 0.85–1.89 |
| 18–49 at baseline*2015 | 2.16 | 1.34–3.47* |
| ≥ 50 at baseline*2015 | 1.25 | 0.78–2.01 |
Year 2009 considered as reference category across all models
All analysis adjusted for education
*confidence interval does not contain value 1