| Literature DB >> 35246189 |
Janine C F Donhouedé1,2, Kolawolé Valère Salako3, Kisito Gandji3, Rodrigue Idohou3,4, Roméo Tohoun3, Achille Hounkpèvi3, Natasha Ribeiro5, Ana I Ribeiro-Barros6, Romain Glèlè Kakaï3, Achille Ephrem Assogbadjo3.
Abstract
BACKGROUND: The growing interest for more natural products in food and health industries has led to increasing research on traditional knowledge related to plants. While theoretical knowledge (TK) on the uses of a species informs on the wide spectrum of potential uses of that species, actual uses (AU) highlight their potential being actually used. Distinguishing between the two is important when reporting ethnobotanical studies. However, studies often equated AU and TK, sometimes misleading conclusions, and decision-making. This study assessed TK, AU, and difference between TK and AU of Annona senegalensis and how each is related to factors such as age, sex, sociolinguistic group, and main activity in Benin republic.Entities:
Keywords: Annona senegalensis; Knowledge gap; Socio-demographic factors; Sociolinguistic groups; Use patterns
Mesh:
Year: 2022 PMID: 35246189 PMCID: PMC8894562 DOI: 10.1186/s13002-022-00510-2
Source DB: PubMed Journal: J Ethnobiol Ethnomed ISSN: 1746-4269 Impact factor: 2.733
Fig. 1Seeds, flower, fruit, and leaf (from left to right) of A. senegalensis
Fig. 2Geographical location of the study area
Distribution and variation in the number of respondents according to their characteristics
| Characteristics | Modality | Number of respondents | Relative frequency |
|---|---|---|---|
| Gender | Woman | 287 | 38.52 |
| Man | 468 | 61.81 | |
| Age | Young (age ≤ 35) | 133 | 17.85 |
| Adult (35 < age ≤ 60) | 433 | 58.12 | |
| Old (age > 60) | 189 | 25.36 | |
| Main activity | Farmer | 354 | 47.51 |
| No_Farmer | 378 | 50.73 | |
| Trad_healers | 23 | 3.08 | |
| Sociolinguistic group | Bariba | 100 | 13.42 |
| Beyonbe | 25 | 3.36 | |
| Dendi | 50 | 6.71 | |
| Idaasha | 19 | 2.55 | |
| Kountema | 25 | 3.31 | |
| Lokpa | 50 | 6.71 | |
| Mahi | 65 | 8.72 | |
| Nago | 81 | 10.87 | |
| Natimba | 51 | 6.85 | |
| Otamari_ | 19 | 2.55 | |
| Berba | 13 | 1.74 | |
| Tankama | 50 | 6.71 | |
| Weme | 146 | 19.6 | |
| Yom | 51 | 6.85 |
Diversity of medicinal uses of A. senegalensis and perceived effectiveness – Only uses with RFC ≥ 1% are listed in this table
| Plant part | Specific uses | Method of preparation | Administration | Dosage | RFC (%) | Average effectiveness | |
|---|---|---|---|---|---|---|---|
| Overall | Actual | ||||||
| Leaves | Dysentery | Mastication: Chewing some young leaves | Oral | Swallow the substance obtained from the mastication of the leaves each morning for 3 days | 6.58 | 6.10 | 2.98 |
| Diarrhea | Crushing: Crush the leaves and pour into tomato sauce | Oral | Consume the sauce for 3 days | 1.88 | 1.59 | 3.00 | |
| Fever | Decoction: Boil the leaves in water | Bath or oral | Drink one glass and take shower 3 times a day for 3 days | 3.49 | 2.39 | 3.00 | |
| Malaria | Maceration: Soaking the leaves in water for 3 days | Oral | Drink one glass 3 times a day for 7 days | 28.32 | 13.26 | 3.00 | |
| Bee sting | Trituration: Squeezing young leaves | Massage | Apply in the affected body part once and get fine few minutes later | 7.12 | 2.92 | 3.00 | |
| Intestinal worms | Crushing: Crush and use it to make soup | Oral | Consume the soup for 7 days | 8.07 | 6.37 | 2.88 | |
| Stomach aches | Trituration: Squeezing young leaves | Oral | Drink one glass three times a day for three days | 4.43 | 2.25 | 2.74 | |
| Anemia | Maceration: Soaking the leaves in water for 3 days | Oral | Drink one glass three times a day for three days | 3.36 | 1.46 | 3.00 | |
| Sexual weakness | Trituration: Squeezing young leaves | Oral | Filter, add water or any liquid and drink a glass before having sex | 2.42 | 1.19 | 3.0 | |
| Snake bite | Chewing: Chew the leaves | Oral | Swallow the juice | 2.15 | 1.33 | 3.00 | |
| Cold | Decoction: Boiling the leaves in water. | Oral | Drink one glass a day and use it to take shower 3 times a day and for 3 days | 1.34 | 1.33 | 3.0 | |
| Root | Snake bite | Looting: Loot the root, add leaves of | Massage | Apply the obtained product in the affected zone (renewable) | 2.82 | 2.39 | 3.00 |
| Swelling of body part | Looting: Loot the root, add some Shea Butter | Massage | Apply the obtained substance in the affected part once a day (renewable) | 5.38 | 2.79 | 2.95 | |
| Scorpion sting | Looting: Loot the root | Massage | Apply a small amount of the product obtained on the damaged body part once | 6.57 | 1.99 | 3 | |
Fig. 3Plant parts used according to use-categories
Fig. 4Food (a) and medicinal (b) uses of A. senegalensis and relationship to sociolinguistic groups
Correlation between medicinal uses and principal components—significant correlations (those with absolute value greater or equal to 0.5) are highlighted in bold
| Medicinal uses | PC1 | PC2 | PC3 |
|---|---|---|---|
| Parasitosis | 0.26 | 0.15 | −0.39 |
| Dysentery | −0.16 | − | −0.21 |
| Fever | −0.25 | −0.39 | −0.18 |
| Stomach aches | −0.07 | − | −0.14 |
| Malaria | 0.05 | −0.16 | |
| Bee string | −0.30 | −0.03 | |
| Swelling of body part | −0.34 | 0.30 | −0.23 |
| Snake bite | −0.48 | 0.28 | −0.08 |
| Scorpion sting | −0.34 | 0.18 | − |
Fig. 5Projection of actual medicinal uses (AU) and sociolinguistic groups on the three first principal components
Fig. 6Correlation between known uses and uses practiced. Count stands for the number of overlapping points
Summary of model selection among candidate models for TKTotal, AUTotal, AUFood, AUMedicinal, and TKTotal—AUTotal
| Candidate models | TKTotal | AUTotal | AUFood | AUMedicinal | TKTotal–AUTotal | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| AICc | ∆AICc | AICc | ∆AICc | AICc | ∆AICc | AICc | ∆AICc | AICc | ∆AICc | |
| SLG | – | – | – | – | 1662.4 | 0 | – | – | 1519.1 | 0 |
| SLG + Sex | – | – | – | – | 1663.0 | 0.6 | – | – | 1519.1 | 0 |
| SLG + SPG | 2549.7 | 0 | 2265.6 | 0 | – | – | 1852.9 | 0 | – | – |
| SLG + SPG + Sex | 2550.9 | 1.2 | 2266.8 | 1.2 | – | – | – | – | 1519.1 | 0 |
| SLG + Age + Sex | – | – | – | – | 1666.6 | 4.2 | 1854.8 | 1.8 | – | – |
| SLG + Age + SPG + Sex | 2554.5 | 4.8 | 2270.6 | 5.0 | – | – | 1857.0 | 4.1 | 1523.4 | 3.5 |
| SLG + Age + Sex + Age: Sex | – | – | – | – | 1670.5 | 8.1 | – | – | – | – |
| SLG + Age + SPG + Sex + Age: Sex | 2558.4 | 8.7 | 2274.2 | 8.6 | 1674.5 | 12.1 | 1859.9 | 6.9 | 1526.8 | 6.9 |
| SLG + Age + SPG + Sex + Age: Sex + Sex: SLG | 2566.1 | 16.4 | 2284.5 | 18.8 | 1693.3 | 30.9 | 1865.4 | 12.5 | 1534.9 | 14.9 |
| SLG + Age + SPG + Sex + Age: Sex + Age: SLG + Sex: SLG | 2595.8 | 46.1 | 2318.5 | 52.8 | 1734.3 | 71.9 | 1895.1 | 42.2 | 1549.1 | 29.1 |
| Goodness of fit test | 0.999 | 0.999 | 0.998 | 0.999 | 0.999 | |||||
| Model significance test | < 0.001 | < 0.001 | < 0.001 | < 0.001 | < 0.001 | |||||
| Nagelkerke | 35.74 | 42.23 | 32.61 | 34.98 | 28.02 | |||||
TK theoretical knowledge, AU actual uses, AU actual uses for food use-category, AU actual uses for medicinal use-category, SPG socio-professional group, SLG sociolinguistic group
Fig. 7Variation in TKTotal, AUTotal, AUFood, AUMedicinal of A. senegalensis according to sociolinguistic group and main activity. Bars with different letters indicate significant differences
Fig. 8Difference between theoretical traditional knowledge and actual uses according to sociolinguistic group. Sociolinguistic groups with different letters are significantly different