| Literature DB >> 30475871 |
Camila Stéfani Estancial Fernandes1, Renata Cruz Soares de Azevedo2, Moisés Goldbaum3, Marilisa Berti de Azevedo Barros1.
Abstract
This study analyzed differences between men and women regarding the use of psychotropic drugs and associated factors in a population of adults and seniors in the city of Campinas, Brazil. A population-based, cross-sectional study was conducted using data from the ISACamp 2014/2015 health survey in the city of Campinas. The sample was composed of 1999 individuals aged 20 years or older. For each sex, prevalence rates and prevalence ratios were estimated for the use of psychotropic drugs according to demographic characteristics, socioeconomic characteristics, health problems, degree of limitation and type of emotional/mental problem. The most used classes of medications were also determined. The prevalence of the use of psychotropic drugs was 11.7% (7.3% among men and 15.8% among women). The most common therapeutic classes were antidepressants (38.2%) and benzodiazepines (24.0%). The frequency of antidepressant use was higher among women (44.3%) than men (25.5%). Regarding associated factors, reports of emotional/mental problems were associated with the greater use of this type of drug in both sexes. Among the men, white skin color, a lack of an occupational activity, a greater number of complaints of health problems and the occurrence of insomnia were associated with the use psychotropic drugs. Among the women, a significant increase in the use of these drugs was found with the increase in age and higher prevalence rates were found among those with a higher level of schooling, those with a greater number of diagnosed chronic diseases and those with a common mental disorder. The present results confirm the greater use of psychotropic agents, especially antidepressants, in the female sex and reveal that the pattern of associated factors differs between sexes. It is therefore necessary to understand the peculiarities of each sex that exert an influence on the perception of health problems and the desire to seek care, which, in turn, affect the use of psychotropic agents.Entities:
Mesh:
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Year: 2018 PMID: 30475871 PMCID: PMC6257918 DOI: 10.1371/journal.pone.0207921
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Prevalence of the use of psychotropic agents and prevalence ratios according to sex and demographic/socioeconomic characteristics.
Campinas, Brazil, 2014–2015.
| Variables | Male sex | Female sex | ||||
|---|---|---|---|---|---|---|
| n | Prevalence % | PR (95%CI) | n | Prevalence % | PR (95%CI) | |
| 20–39 | 258 | 4.3 | 1 | 291 | 9.9 | 1 |
| 40–59 | 206 | 9.6 | 258 | 16.3 | 1.65 (1.00–2.70) | |
| 60 or older | 387 | 11.5 | 599 | 28.0 | ||
| Total | 851 | 7.3 | 1148 | 15.8 | ||
| (0.6985) | ||||||
| 0–4 | 282 | 8.7 | 1 | 458 | 18.7 | 1 |
| 5–11 | 412 | 7.3 | 0.84 (0.49–1.44) | 495 | 12.2 | |
| 12 or more | 157 | 6.5 | 0.74 (0.35–1.56) | 195 | 20.0 | 1.07 (0.69–1.65) |
| Non-white | 265 | 3.0 | 1 | 347 | 11.1 | 1 |
| White | 568 | 9.6 | 773 | 17.7 | ||
| Yes | 476 | 4.7 | 1 | 465 | 13.3 | 1 |
| No | 374 | 13.8 | 683 | 19.1 | ||
| (0.1608) | (0.8367) | |||||
| ≤ 1 | 265 | 5.2 | 1 | 422 | 14.7 | 1 |
| > 1- ≤ 3 | 457 | 9.1 | 1.75 (0.96–3.16) | 574 | 16.1 | 1.01 (0.68–1.76) |
| > 3 | 119 | 6.1 | 1.17 (0.44–3.07) | 151 | 17.1 | 1.16 (0.69–1.94) |
| (0.1832) | ||||||
| No | 508 | 6.1 | 1 | 603 | 13.1 | 1 |
| Yes | 342 | 8.9 | 1.45 (0.83–2.53) | 545 | 18.5 | |
n: number of individuals in unweighted sample.
* statistically significant difference.
χ2 between parentheses: p-value from the chi-squared test.
PR (95%CI): Prevalence ratio (95% confidence interval).
Prevalence of the use of psychotropic agents and prevalence ratios according to sex and health problems.
Campinas, Brazil, 2014–2015.
| Variables | Male sex | Female sex | ||||
|---|---|---|---|---|---|---|
| n | Prevalence (%) | PR (95%CI) | n | Prevalence (%) | PR (95%CI) | |
| 0 | 252 | 5.8 | 1 | 231 | 10.8 | 1 |
| 1–2 | 360 | 6.6 | 1.14 (0.64–2.10) | 407 | 9.6 | 0.89 (0.51–1.56) |
| 3–4 | 166 | 9.8 | 1.68 (0.71–3.98) | 292 | 22.8 | |
| 5 or more | 72 | 17.4 | 215 | 33.9 | ||
| 0 | 398 | 5.9 | 1 | 351 | 10.4 | 1 |
| 1 | 275 | 5.1 | 0.87 (0.43–1.76) | 322 | 17.3 | |
| 2 or more | 177 | 14.6 | 472 | 18.1 | ||
| No | 689 | 4.4 | 1 | 800 | 11.8 | 1 |
| Yes | 161 | 21.3 | 345 | 26.9 | ||
| No | 624 | 3.5 | 1 | 697 | 6.6 | 1 |
| Yes | 222 | 18.3 | 448 | 29.4 | ||
| No | 748 | 5.2 | 1 | 862 | 11.7 | 1 |
| Yes | 74 | 22.8 | 258 | 28.8 | ||
n: number of individuals in unweighted sample.
* statistically significant difference.
χ2 between parentheses: p-value from the chi-squared test.
PR (95%CI): Prevalence ratio (95% confidence interval).
Multiple Poisson regression models of the use of psychotropic agents among men and women.
Campinas, Brazil, 2014–2015.
| Variables | First step | Second step | Third step | |||
|---|---|---|---|---|---|---|
| PR (95%CI) | p | PR (95%CI) | p | PR (95%CI) | p | |
| 20–39 | 1 | 1 | 1 | |||
| 40–59 | 1.72 (0.87–3.39) | 0.115 | 1.52 (0.77–2.98) | 0.222 | 1.33 (0.73–2.40) | 0.342 |
| 60 or older | 1.36 (0,71–2.59) | 0.352 | 1.20 (0.62–2.33) | 0.587 | 1.27 (0.68–2.35) | 0.448 |
| Non-white | 1 | 1 | 1 | |||
| White | ||||||
| Yes | 1 | 1 | 1 | |||
| No | ||||||
| 0 | 1 | 1 | ||||
| 1 | 0.89 (0.44–1.81) | 0.738 | 0.80 (0.39–1.61) | 0.519 | ||
| 2 or more | 1.57 (0.83–2.96) | 0.163 | ||||
| No | 1 | |||||
| Yes | ||||||
| No | 1 | |||||
| Yes | ||||||
| 20–39 | 1 | 1 | 1 | |||
| 40–59 | 1.60 (0.96–2.67) | 0.073 | ||||
| 60 or older | ||||||
| 0–4 | 1 | 1 | 1 | |||
| 5–11 | 1.15 (0.82–1.61) | 0.404 | 1.23 (0.87–1.74) | 0.228 | 1.26 (0.85–1.86) | 0.246 |
| 12 or more | ||||||
| 0 | 1 | 1 | ||||
| 1–2 | 0.78 (0.44–1.36) | 0.371 | 0.62 (0.35–1.08) | 0.091 | ||
| 3–4 | 1.59 (0.88–2.89) | 0.124 | 1.05 (0.55–1.97) | 0.888 | ||
| 5 or more | 1.12 (0.61–2.07) | 0.702 | ||||
| No | 1 | |||||
| Yes | ||||||
| No | 1 | |||||
| Yes | ||||||
PR (95%CI): Prevalence ratio (95% confidence interval).
* statistically significant difference.
a: PR adjusted by demographic and socioeconomic variables.
b: PR adjusted for demographic and socioeconomic variables from first step and health variables.
c: PR adjusted by all variables in table.
Prevalence of the use of psychotropic agents and prevalence ratios according to sex and emotional/mental problem, common mental disorder and insomnia.
Campinas, Brazil, 2014–2015.
| Variables | Male sex | Female sex | ||||
|---|---|---|---|---|---|---|
| n | Prevalence (%) | PR (95%CI) | n | Prevalence (%) | PR (95%CI) | |
| No problem | 624 | 3.6 | 1 | 697 | 6.6 | 1 |
| No limitation | 110 | 9.2 | 192 | 27.2 | ||
| Some limitation | 79 | 19.4 | 192 | 24.4 | ||
| Considerable limitation | 33 | 43.3 | 64 | 52.5 | ||
| Anxiety | 162 | 13.3 | 1 | 295 | 23.5 | 1 |
| Depression | 49 | 26.2 | 1.97 (0.99–3.89) | 141 | 47.4 | |
| Other problems | 11 | 69.6 | 12 | 43.4 | 1.84 (0.78–4.35) | |
| No | 748 | 5.2 | 1 | 862 | 11.7 | 1 |
| Moderate CMD | 56 | 22.6 | 148 | 22.5 | ||
| Severe CMD | 18 | 23.8 | 110 | 37.2 | ||
| Without insomnia | 689 | 4.4 | 1 | 800 | 11.8 | 1 |
| No limitation | 65 | 9.9 | 2.24 (0.77–6.51) | 137 | 20.2 | 1.72 (0.92–3.19) |
| Some limitation | 62 | 25.9 | 153 | 22.5 | ||
| Considerable limitation | 34 | 37.3 | 55 | 53.1 | ||
n: number of individuals in unweighted sample.
* statistically significant difference.
χ2 between parentheses: p-value from the chi-squared test.
PR (95%CI): Prevalence ratio (95% confidence interval).
Classes of psychotropic agents used (in %) according to sex; Campinas, Brazil, 2014–2015.
| Classes of psychotropic agents according to ATC classification system | Total | Male sex | Female sex | p-value χ2 | |
|---|---|---|---|---|---|
| n | % | % | % | ||
| 154 | 38.2 | 25.5 | 44.3 | ||
| SSRIs | 111 | 28.8 | 20.2 | 33.0 | 0.0756 |
| Tricyclic | 25 | 6.2 | 3.90 | 7.3 | 0.3195 |
| Others | 18 | 3.2 | 1.40 | 4.0 | 0.1556 |
| 115 | 24.0 | 24.1 | 24.0 | 0.9930 | |
| Clonazepam | 60 | 13.0 | 15.3 | 11.8 | 0.4095 |
| Diazepam | 29 | 6.0 | 6.8 | 5.7 | 0.7106 |
| Others | 26 | 5.0 | 2.0 | 6.5 | 0.0580 |
| 56 | 15.4 | 21.2 | 12.6 | 0.1302 | |
| Carbamazepine | 20 | 5.2 | 5.8 | 5.0 | 0.8054 |
| Phenytoin | 9 | 1.8 | 3.5 | 0.9 | 0.0610 |
| Others | 27 | 8.4 | 11.9 | 6.7 | 0.2377 |
| 109 | 22.4 | 29.3 | 19.1 | 0.2743 | |
| Antipsychotics | 30 | 7.3 | 13.1 | 4.5 | 0.0707 |
| Anti-Parkinson’s | 23 | 4.3 | 6.2 | 3.6 | 0.5763 |
| Others | 56 | 10.7 | 9.9 | 11.1 | 0.6754 |
n: number of medications.
a Percentages weighted for sample design.
χ2 p-value from chi-squared test.
* statistically significant difference.
1 fluoxetine, citalopram, paroxetine, sertraline, escitalopram.
2 imipramine, clomipramine, amitriptyline, nortriptyline.
3 trazodone, mirtazapine, bupropion, venlafaxine, duloxetine, desvenlafaxine.
4 lorazepam, bromazepam, clobazam, alprazolam, cloxazolam, flunitrazepam, zolpidem.
5 phenobarbital, primidone, oxcarbazepine, valproic acid, lamotrigine, topiramate, gabapentin, pregabalin.
6 Opioid analgesics (morphine, codeine, tramadol); Anti-Parkinson’s (biperiden, levodopa, amantadine, pramipexole, selegiline, rasagiline, entacapone); Antipsychotics (levomepromazine, haloperidol, olanzapine, quetiapine, lithium, risperidone, aripiprazol); Anxiolytics (buspirone); Psychostimulants: (methylphenidate, piracetam); Anti-dementia (rivastigmine, galantamine, memantine).
# selective serotonin reuptake inhibitors.