| Literature DB >> 30897156 |
Tatiane da Silva Dal Pizzol1,2, Andréia Turmina Fontanella2, Maria Beatriz Cardoso Ferreira3, Andréa Dâmaso Bertoldi4, Rogerio Boff Borges2, Sotero Serrate Mengue2.
Abstract
PURPOSE: To estimate the prevalence of use of analgesics in Brazil; and to characterize this use, according to sociodemographic and health-related characteristics.Entities:
Mesh:
Substances:
Year: 2019 PMID: 30897156 PMCID: PMC6428399 DOI: 10.1371/journal.pone.0214329
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Prevalence of analgesic use according to the sociodemographic and health-related characteristics of the sample.
PNAUM, 2014 (n = 41,433).
| Sample | Prevalence of analgesic use | ||||
|---|---|---|---|---|---|
| % | % | 95% CI | |||
| Total | - | 22.8 | 21.4–24.2 | - | |
| Gender | Male | 47.2 | 17.9 | 16.5–19.3 | <0.001 |
| Female | 52.8 | 27.2 | 25.6–28.9 | ||
| Age (years) | 0 to 9 | 13.7 | 13.9 | 12.4–15.6 | <0.001 |
| 10 to 19 | 16.0 | 15.7 | 13.6–17.9 | ||
| 20 to 59 | 57.2 | 25.1 | 23.5–26.8 | ||
| ≥ 60 | 13.2 | 30.0 | 28.8–32.4 | ||
| Education (years completed) | never studied | 21.1 | 20.9 | 19.2–22.8 | <0.001 |
| 1 to 8 | 45.6 | 21.0 | 19.5–22.7 | ||
| > 8 | 33.3 | 26.5 | 24.5–28.5 | ||
| Economic class | A/B | 22.3 | 23.0 | 20.8–25.3 | 0.413 |
| C | 55.3 | 23.2 | 21.6–24.8 | ||
| D/E | 22.3 | 21.8 | 20.0–23.7 | ||
| Chronic diseases | None | 69.1 | 17.1 | 15.9–18.4 | <0.001 |
| 1 | 17.0 | 28.5 | 26.3–30.8 | ||
| 2 | 7.2 | 36.8 | 34.1–39.7 | ||
| ≥ 3 | 6.6 | 52.6 | 49.8–55.4 | ||
| Number of drugs in use (excluding analgesics) | None | 58.6 | 16.0 | 14.7–17.4 | <0.001 |
| 1 | 14.8 | 26.6 | 24.6–28.7 | ||
| 2 | 13.0 | 27.5 | 25.2–29.8 | ||
| 3 to 4 | 9.2 | 39.2 | 36.5–42.1 | ||
| ≥ 5 | 4.3 | 52.8 | 49.3–56.3 | ||
| Health insurance coverage | Yes | 22.0 | 26.1 | 23.9–28.3 | <0.001 |
| No | 78.0 | 21.9 | 20.4–23.4 | ||
| Emergency visits | Yes | 14.8 | 42.4 | 40.2–44.7 | <0.001 |
| No | 85.2 | 19.4 | 18.1–20.8 | ||
| Hospitalizations | Yes | 5.9 | 39.9 | 37.1–42.8 | <0.001 |
| No | 94.1 | 21.8 | 20.4–23.2 | ||
a Percentages adjusted according to sample weights and according to post-stratification (according to age and gender).
b Chi-square test for independence.
c According to the Brazilian Economic Classification Criteria 2013 (CCEB 2013) of the Brazilian Association of Research Companies (ABEP). Available at: http://www.abep.org
d within the previous 12 months
CI: confidence interval
Fig 1Prevalence of use of different groups of analgesics, categorized according to age group.
PNAUM, 2014 (n = 41,433)*. * Percentages adjusted according to sample weights and according to post-stratification (according to age and gender). ** Coefficient of variation > 0.3. Caution is suggested in the interpretation.
Fig 2Frequency of analgesics used, according to the Anatomical Therapeutic Chemical (ATC) classification system, alone or in combination, by individuals who reported that they were using analgesics (n = 10,214).
PNAUM, 2014*. * Percentages adjusted according to sample weights and according to post-stratification (according to age and gender).
Frequency of use of analgesics, according to the Anatomical Therapeutic Chemical (ATC) classification system, and the respective drugs most cited.
PNAUM, 2014 (n = 13,054 analgesics).
| Groups of analgesics/drugs | % | 95% CI |
|---|---|---|
| metamizole | 52.8 | 50.8–54.7 |
| paracetamol | 35.3 | 33.3–37.3 |
| acetylsalicylic acid | 11.9 | 10.9–13.1 |
| diclofenac | 40.2 | 36.8–43.7 |
| ibuprofen | 24.6 | 22.1–27.2 |
| nimesulide | 13.6 | 11.8–15.6 |
| codeine | 39.4 | 31.1–48.4 |
| papaverine | 30.9 | 21.6–42.0 |
| tramadol | 25.7 | 18.4–34.6 |
a The occurrence rate for propyphenazone (a non-opioid analgesic) was 0.04% and has not been represented in this table.
The ten most commonly used analgesics, regardless of Anatomical Therapeutic.
Chemical (ATC) classification. PNAUM, 2014 (n = 13,054 analgesics).
| Drugs | Frequency of use among the drugs mentioned | |
|---|---|---|
| % | 95% CI | |
| metamizole | 37.8 | 36.2–39.5 |
| paracetamol | 25.3 | 23.9–26.7 |
| diclofenac | 10.7 | 9.7–11.8 |
| acetylsalicylic acid | 8.5 | 7.8–9.4 |
| ibuprofen | 6.5 | 5.9–7.3 |
| nimesulide | 3.6 | 3.1–4.2 |
| ketoprofen | 1.0 | 0.7–1.3 |
| meloxicam | 0.9 | 0.7–1.2 |
| codeine | 0.7 | 0.5–0.9 |
| piroxicam | 0.6 | 0.4–0.9 |
Pattern of use of analgesics, in relation to health condition and main reasons for use.
PNAUM, 2014 (n = 13,054 analgesics).
| Non-opioid analgesics | Opioid analgesics | NSAIDs | ||||
|---|---|---|---|---|---|---|
| % (95% CI) | % (95% CI) | % (95% CI) | ||||
| Chronic health conditions | 10.4 (9.4–11.5) | 29.1 (21.9–37.7) | 21.3 (18.8–24.0) | |||
| Acute/occasional health conditions | 89.6 (88.5–90.6) | 70.9 (62.3–78.1) | 78.7 (76.0–81.2) | |||
| Pain | 63.1 (61.4–64.9) | Pain | 62.1 (52.9–70.5) | Pain | 56.4 (53.0–59.7) | |
| Other reasons | 14.6 (13.4–15.9) | Other reasons | 22.9 (16.2–31.2) | Other reasons | 19.7 (17.3–22.4) | |
| Fever | 13.8 (12.5–15.3) | Rheumatic disease | 10.6 (7.0–15.8) | Infection | 12.2 (10.4–14.3) | |
| Flu/cold | 8.4 (7.5–9.5) | Infection | 4.4 (2.0–9.5) | Rheumatic disease | 11.7 (9.9–13.7) | |
a Acetylsalicylic acid, metamizole, paracetamol and propyphenazone (4 different drugs mentioned in this group)
b Codeine, methadone, morphine, oxycodone, papaverine and tramadol (6 different drugs mentioned in this group)
c Aceclofenac, mefenamic acid, benzydamine, celecoxib, ketoprofen, ketorolac, chondroitin, diacerein, diclofenac, etodolac, etoricoxib, phenylbutazone, flurbiprofen, glucosamine, ibuprofen, indomethacin, lornoxicam, meloxicam, naproxen, nimesulide, piroxicam and tenoxicam (22 different drugs mentioned in this group)
* Coefficient of variation > 0.3. Caution is suggested in the interpretation.