| Literature DB >> 35331197 |
Matthias Gerlitz1, Peter Voitl1,2, Julian J M Voitl1, Susanne C Diesner-Treiber3.
Abstract
BACKGROUND: Infectious diseases like the common cold, otitis media, or gastroenteritis frequently occur in childhood. In addition to prescription drugs, parents often use supplementary over-the-counter (OTC) products recommended by pharmacists and other non-medical professionals to relieve their children's symptoms. However, the efficacy of such alternative treatments lacks conclusive evidence. The objective of this study was to investigate the use of OTC products and related active ingredients in children, and the motivations behind this choice.Entities:
Keywords: Adolescents; Children; Infections; Non-prescription treatments; Over-the-counter medication, Questionnaire
Mesh:
Substances:
Year: 2022 PMID: 35331197 PMCID: PMC8943939 DOI: 10.1186/s12887-022-03220-6
Source DB: PubMed Journal: BMC Pediatr ISSN: 1471-2431 Impact factor: 2.125
Home remedies
| Home remedies (HR) | Absolute frequency | Relative total frequency [%] | Relative frequency HR [%] | Relative cumulative frequency HR [%] |
|---|---|---|---|---|
| Onion | 54 | 25.1% | 65.1% | 65.1% |
| Honey | 9 | 4.2% | 10.8% | 75.9% |
| Lemon/Ginger | 2 | 0.9% | 2.4% | 78.3% |
| Aroma-oil | 2 | 0.9% | 2.4% | 80.7% |
| Soups | 2 | 0.9% | 2.4% | 83.1% |
| Other | 14 | 6.5% | 16.9% | 100.0% |
| Specification total | 83 | 38.6% | 100.0% | |
| HR total | 93 | 43.3% | ||
| No specification | 122 | 56.7% | ||
| TOTAL | 215 | 100.0% |
Compresses
| Compresses | Absolute frequency | Relative total frequency [%] | Relative frequency compresses [%] | Relative cumulative frequency compresses [%] |
|---|---|---|---|---|
| Vinegar | 36 | 16.7% | 65.5% | 65.5% |
| Onion | 9 | 4.2% | 16.4% | 81.8% |
| Compress not specified | 5 | 2.3% | 9.1% | 90.9% |
| Other | 5 | 2.3% | 9.1% | 100.0% |
| Specification total | 55 | 25.6% | 100.0% | |
| Compresses total | 58 | 27.0% | ||
| No specification | 157 | 73.0% | ||
| TOTAL | 215 | 100.0% |
Teas
| Teas | Absolute frequency | Relative total frequency [%] | Relative frequency teas [%] | Relative cumulative frequency teas [%] |
|---|---|---|---|---|
| Chamomile | 23 | 10.7% | 25.6% | 25.6% |
| Thyme | 18 | 8.4% | 20.0% | 45.6% |
| Bronchial/Anti-cough | 12 | 5.6% | 13.3% | 58.9% |
| Sage/Ribwort | 10 | 4.7% | 11.1% | 70.0% |
| Herb | 8 | 3.7% | 8.9% | 78.9% |
| Fennel | 7 | 3.3% | 7.8% | 86.7% |
| Fruit | 6 | 2.8% | 6.7% | 93.4% |
| Ginger | 4 | 1.9% | 4.4% | 97.8% |
| Other | 2 | 0.9% | 2.2% | 100.0% |
| Specification total | 90 | 41.9% | 100.0% | |
| Teas total | 97 | 45.1% | ||
| No specification | 118 | 54.9% | ||
| TOTAL | 215 | 100.0% |
Additional therapy usage according to age group
| Age (years) | Number of participants | Home remedies | Compresses | Teas | Homeopathic | ||||
|---|---|---|---|---|---|---|---|---|---|
| total | % | total | % | total | % | total | % | ||
| 29 | 10 | 34.5% | 6 | 20.7% | 9 | 31.0% | 3 | 10.3% | |
| 149 | 69 | 46.3% | 39 | 26.2% | 68 | 45.6% | 39 | 26.2% | |
| 34 | 13 | 38.2% | 12 | 35.3% | 19 | 55.9% | 8 | 23.5% | |
| 3 | 1 | 33.3% | 1 | 33.3% | 1 | 33.3% | 1 | 33.3% | |
| 215 | 93 | 43.3% | 58 | 27.0% | 97 | 45.1% | 51 | 23.7% | |
Self-medication—general parameters
| 182 (74,7%) | - | - | ||
| 3 (2–5) | 4 (3–6) | 2 (1–4) | 0.4 | |
| 34 (30.5–38.0) | 35 (31.0–38.5) | 33 (30–37) | 0.8 | |
| 104 (48.4%) | 89 (85.6%) | 15 (14.4%) | 0.7 | |
| Compulsary school (18; 8.4%) | 16 (88.9%) | 2 (11.1%) | 0.1 | |
| Apprenticeship (47; 21.9%) | 39 (83.0%) | 8 (17.0%) | ||
| High school (68; 31.6%) | 59 (86.8%) | 9 (13.2%) | ||
| University (80; 37.2%) | 68 (85.0%) | 12 (15.0%) |
Data are described as n (%) for continuous as median (IQR)
Tests for significance are x2-test/ Fisher’s Exact Test (catergorial variables) or Mann – Whitney – U Test (continuous variables); p – value < 0.05 was considered significant
cn = 213, amedian and IQR, bmean and SD
Self-medication—special parameters
| Do not agree | 11 (5.2%) | 10 (90.9%) | 1 (9.1%) | 0.2 (0.9) | |
| Rather agree | 70 (33%) | 63 (90%) | 7 (10%) | ||
| Totally agree | 131 (61.8%) | 106 (80.9%) | 25 (19.1%) | ||
| Do not agree | 159 (74%) | 132 (83%) | 27 (17%) | 0.5 (0.9) | |
| Rather agree | 36 (16.7%) | 33 (91.7%) | 3 (8.3%) | ||
| Totally agree | 20 (9.3%) | 17 (85.0%) | 3 (15.0%) | ||
| Yes | 94 (43.7%) | 86 (91.5%) | 8 (8.5%) | ||
| No | 121 (56.3%) | 96 (79.3%) | 25 (20.7%) | ||
| Do not agree | 6 (6.4%) | 5 (83.3%) | 1 (16.7%) | 0.2 (0.9) | |
| Rather agree | 40 (42.6%) | 35 (87.5%) | 5 (12.5%) | ||
| Totally agree | 48 (51.1%) | 46 (95.8%) | 2 (4.2%) | ||
| Do not agree | 33 (15.4%) | 26 (78.8%) | 7 (21.2%) | 0.2 (0.9) | |
| Rather agree | 71 (33.2%) | 57 (80.3%) | 14 (19.3%) | ||
| Totally agree | 110 (51.4%) | 98 (89.1%) | 12 (10.9%) | ||
| Yes | 205 (96.7%) | 175 (85.4%) | 30 (14.6%) | 0.3 (0.9) | |
| No | 7 (3.3%) | 5 (71.4%) | 2 (28.6%) | ||
Data for categorical variables described as n (%), tests for significance are x2-test/ Fisher’s Exact Test
ap-value was adjusted for multiple testing using Bonferroni-Holm method
bn = 212, cn = 94, dn = 214, en = 212