| Literature DB >> 30427870 |
André Luiz Borba Nascimento1,2, Patrícia Muniz Medeiros3, Ulysses Paulino Albuquerque1.
Abstract
The presence of mainstream medicine in local medical systems inserts a set of external treatments and concepts that generate adjustments in the local conceptions of health and disease. What points in the system are most receptive to change? Who are the residents most likely to adopt these external treatments to deal with diseases? To answer these questions, this work used a study model consisting of the simultaneous use of medicinal plants and modern medicine, testing whether diseases that require greater treatment efforts are the main targets of adherence to modern medicine and if socioeconomic characteristics of residents can cause intracultural variation in relation to simultaneous use. To obtain socioeconomic data on the knowledge of medicinal plants and simultaneous use of these resources with modern medicine, semistructured interviews were conducted in a rural community that has easy access to modern medicine. Participatory workshops were held to access the local perceptions about the frequency of occurrence and severity of illnesses. A multilevel logistic regression model was applied for data analysis. We found that chronic, severe and frequently occurring diseases in the community tended to show greater simultaneous use locally. Among the socioeconomic factors, we determined that high educational levels positively influenced the combined use of plants and modern medicine. The need to ensure the cure of frequent, severe and chronic diseases is a factor that leads residents to seek a greater number of possible treatments, stimulating the combined use of plants and modern medicine. Residents with higher educational levels were more likely to use a combination of treatments than those with lower educational levels, demonstrating that more participation in formal education may facilitate the combined use of medicinal plants and modern medicine.Entities:
Mesh:
Year: 2018 PMID: 30427870 PMCID: PMC6241117 DOI: 10.1371/journal.pone.0206190
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Schooling categories cited in Carão Community, northeast Brazil, and the respective continuous numeric values used in data analysis.
| Value | Educational categories | Value | Educational categories | Value | Educational categories |
|---|---|---|---|---|---|
| 0 | Illiterate | 3 | Completed elementary school | 6 | Incomplete high school |
| 1 | Literate | 4 | Incomplete middle school | 7 | Completed high school |
| 2 | Incomplete elementary school | 5 | Completed middle school | 8 | College/University |
Multilevel logistic regression models generated for understanding the overlapping use of modern medicine with medicinal plants.
| Fixed effect | Null model | Model 1 | Model 2 | Model 3 | Model 4 | Model 5 |
|---|---|---|---|---|---|---|
| Coefficient (standard error) | Coefficient (standard error) | Coefficient (standard error) | Coefficient (standard error) | Coefficient (standard error) | Coefficient (standard error) | |
| Intercept | -2.51 (0.37) | -2.56 (0.37) | -2.53 (0.37) | -2.65 (0.38) | -2.51 (0.37) | -4.91 (0.57) |
| Frequency | - | 0.29 (0.09) | - | - | - | 0.25 (0.05) |
| Severity | - | - | 0.24 (0.08) | - | - | 0.13 (0.03) |
| Disease (chronic) | - | - | - | 0.54 (0.20) | - | 0.64 (0.25) |
| MPK | - | - | - | - | 0.41 (0.21) | -0.01 (0.01) |
| Variance (standard deviation) | Variance (standard deviation) | Variance (standard deviation) | Variance (standard deviation) | Variance (standard deviation) | Variance (standard deviation) | |
| Participants | 7.44 (2.73) | 7.39 (2.72) | 7.64 (2.77) | 7.71 (2.78) | 7.42 (2.72) | 8.05 (2.84) |
| AIC | 1184.7 | 1175.4 | 1178.5 | 1179.3 | 1186.6 | 1146 |
Model 1 –evaluates the effect of disease frequency; Model 2 –evaluates the effect of disease severity; Model 3 –evaluates the effect of the form of disease manifestation (chronic or acute); Model 4 –evaluates the effect of the number of medicinal plants known (MPK) to deal with the disease; Model 5 –evaluates the combined effect of the previous factors.
*p < 0.05
Fig 1Fixed effect coefficients graph for Model 5.
The Model 5 represents the insertion of disease characteristics that could explain the overlapping use of modern medicine and medicinal plants in the Carão community, northeastern Brazil. * p <0.05.
Citation percentage of the criteria used by the Carão community, northeastern Brazil, that justify the overlapping use of modern medicine and medicinal plants in the same treatment.
| Criteria | Criteria meaning based on the information provided by the participants in the research | Number of citations | % |
|---|---|---|---|
| Ensure healing | The combination ensures the expected effect, because if one of the treatments fails, the other can work. | 164 | 54 |
| Synergistic effect | The addition of treatments accelerates healing. | 38 | 12 |
| Availability | Any of the treatments can be used, either together or separately, depending only on the availability of the plant and/or the modern medicines during the disease event. | 25 | 8 |
| Local indication | The use of the medicinal plant is advised by someone in the community, but the participant continues to use modern medicine because he or she considers it more effective. | 25 | 8 |
| Use of modern medicines at critical times | The plant is the most used treatment for the disease; however, in the worst cases, modern medicine is used in combination. | 16 | 5 |
| Experimentation | The combination of treatments is considered an efficiency test of the treatments to choose the best one to use in a future disease event. | 14 | 5 |
| Plant as a prophylactic | The plant is used to prevent disease. When a participant is affected by the disease, he or she begins to use modern medicine but continues to use the plant. | 12 | 4 |
| Medical indication | The use of modern medicine follows a doctor appointment, but the participant continues to use the plant because the medicinal plant is considered more effective. | 9 | 3 |
| Use of medicinal plants at critical times | Modern medicine is the most used treatment for the disease; however, in the worst cases, a medicinal plant is used in combination. | 2 | 1 |
| 305 | 100 | ||
Criteria: were generated by the researcher interpretations of the information provided by the participants during the interviews.
Multilevel logistic regression models with socioeconomical variables for understanding of the overlapping use of modern medicine with medicinal plants.
| Fixed effect | Model 6 | Model 7 | Model 8 | Model 9 | Model 10 | Model 11 |
|---|---|---|---|---|---|---|
| Coefficient (standard error) | Coefficient (standard error) | Coefficient (standard error) | Coefficient (standard error) | Coefficient (standard error) | Coefficient (standard error) | |
| Intercept | -4.64 (2.03) | -3.89 (0.56) | -0.29 (1.95) | -2.10 (0.44) | -2.54 (0.39) | -6.39 (0.72) |
| Education | 0.55 (0.20) | 0.47 (0.13) | - | - | - | 0.49 (0.13) |
| Age | 0.01 (0.03) | - | -0.04 (0.02) | - | - | - |
| Sex (male) | -0.67 (0.61) | - | - | 0.65 (0.15) | - | - |
| Prestige | 0.05 (0.09) | - | - | - | 0.02 (0.10) | - |
| Frequency | - | - | - | - | - | 0.22 (0.04) |
| Severity | - | - | - | - | - | 0.14 (0.03) |
| Disease (chronic) | - | - | - | - | - | 0.72 (0.23) |
| Variance (standard deviation) | Variance (standard deviation) | Variance (standard deviation) | Variance (standard deviation) | Variance (standard deviation) | Variance (standard deviation) | |
| Participants | 6.07 (2.46) | 6.16 (2.48) | 6.76 (2.60) | 7.18 (2.68) | 7.48 (2.73) | 6.70 (2.59) |
| AIC | 1176.1 | 1172.3 | 1181 | 1184.7 | 1186.6 | 1132.6 |
Model 6 –evaluates the effect of all socioeconomic variables; Model 7 –evaluates the effect of education; Model 8 –evaluates the effect of age; Model 9 –evaluates the effect of sex; Model 10 –evaluates the effect of local prestige as an expert on medicinal plants; Model 11 –evaluates the combined effect of education and disease characteristics.
*p < 0.05
Fig 2Fixed effect coefficients graph of the models 6 and 11.
A- Model 6, which represents the insertion of socioeconomic variables to explain the overlapping use of modern medicine and medicinal plants; B- Model 11, which represents the insertion of socioeconomic and functional variables with a better fit to explain the overlapping use of treatments in the Carão community, Northeast Brazil. * p <0.05.