| Literature DB >> 36032453 |
Emmanuella C Osuala1, Boikhutso Tlou2, Elizabeth B Ojewole1.
Abstract
Background: Drug-food interactions can lead to adverse drug reactions and therapy failure which can potentially impact patient safety and therapy outcome.Entities:
Keywords: Drug-food interactions; attitudes; knowledge; patients; practices
Mesh:
Year: 2022 PMID: 36032453 PMCID: PMC9382463 DOI: 10.4314/ahs.v22i1.79
Source DB: PubMed Journal: Afr Health Sci ISSN: 1680-6905 Impact factor: 1.108
Demographic and clinical characteristics of the patients
| Characteristic | Frequency (n) | Percentage (%) |
|
| ||
| Male | 101 | 29.5 |
| Female | 241 | 70.5 |
|
| ||
| African (Blacks) | 221 | 64.6 |
| Indian | 65 | 19.0 |
| White | 29 | 8.5 |
| Colored | 27 | 7.9 |
|
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| 29 years and below | 83 | 24.3 |
| 30 – 39 years | 76 | 22.2 |
| 40 – 49 years | 49 | 14.3 |
| 50 – 59 years | 59 | 17.3 |
| 60 years and above | 65 | 19.0 |
|
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| Primary | 29 | 8.5 |
| Secondary | 182 | 53.2 |
| Tertiary | 120 | 35.1 |
| Uneducated | 9 | 2.6 |
|
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| Employed | 82 | 24.0 |
| Self-employed | 41 | 12.0 |
| Unemployed | 219 | 64.0 |
|
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| Employee | 68 | 19.9 |
| Business | 22 | 6.4 |
| Retired | 22 | 6.4 |
| Housewives | 10 | 2.9 |
| Students | 8 | 2.3 |
| Others | 11 | 3.2 |
|
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| Single | 185 | 54.1 |
| Married | 108 | 31.6 |
| Divorced/Separated | 13 | 3.8 |
| Widowed | 34 | 9.9 |
|
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| Urban | 301 | 88.0 |
| Rural | 11 | 3.2 |
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| Hypertension | 144 | 42.1 |
| Hyperlipidaemia | 68 | 19.9 |
| Diabetes | 86 | 25.1 |
| Muscle pain/spasm | 59 | 17.3 |
| Arthritis | 52 | 15.2 |
| 1 | 122 | 35.7 |
| 2 | 91 | 26.6 |
| ≥3 | 118 | 34.5 |
|
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| Yes | 77 | 22.5 |
| No | 262 | 76.6 |
Knowledge responses of the patients regarding drug-food interactions
| Knowledge questions | Correct response | Incorrect response | Missing response | |||
|
| ||||||
| n | (%) | n | (%) | n | (%) | |
| Some foods can interfere with the | 226 | 66.1 | 111 | 32.5 | 5 | 1.4 |
| Some drinks can interfere with the | 285 | 83.3 | 51 | 14.9 | 6 | 1.8 |
| Some foods can increase or decrease | 234 | 68.4 | 100 | 29.2 | 8 | 2.4 |
| Some drugs can alter the nutritional | 266 | 77.8 | 70 | 20.5 | 6 | 1.8 |
| Knowledge of | 132 | 38.6 | 189 | 55.3 | 21 | 6.1 |
| Drug-food interactions can occur | 126 | 36.8 | 186 | 54.4 | 30 | 8.8 |
| Foods most likely to cause drug-food | 110 | 32.2 | 170 | 49.7 | 62 | 18.1 |
| Fruit and its juice that can interact | 94 | 27.5 | 163 | 47.6 | 85 | 24.9 |
| Juice to be avoided when taking | 58 | 17.0 | 206 | 60.2 | 78 | 22.8 |
| Drink to avoid when taking most | 285 | 83.3 | 43 | 12.6 | ||
Multiple choice questions- No. of patients who identified all correct options for the questions with more than one correct response
Patients that correctly identified potential drug-food interactions of their medications
| Medications | Foods | Patients | Patients | |
|
| Leafy green | 54 (15.8) | 47 (87.0) | 27 (50.0) |
|
| Grapefruit juice | 81 (23.7) | 21 (25.9) | 29 (35.8) |
|
| Bananas, sweet potato, | 119 (34.8) | 75 (63.0) | 36 (30.2) |
|
| Dairy products such as | 48 (14.0) | 31 (64.6) | 21 (43.8) |
|
| Fibre- | 27 (7.9) | 22 (81.5) | 10 (37.0) |
|
| Alcoholic drinks | 43 (12.6) | 8 (18.6) | 20 (46.5) |
|
| Chicken liver, | 10 (2.9) | 8 (80.0) | 5 (50.0) |
|
| Alcoholic drinks | 51 (14.9) | 8 (15.7) | 23 (45.1) |
|
| Caffeine rich foods | 21 (6.1) | 11 (52.4) | 7 (33.3) |
Total number of patients who participated in the survey N= 342 (represented for column 3)
Patients' responses to attitude-related questions
| Attitude question | Yes | No | ||||
| n | (%) | n | (%) | n | (%) | |
| Do you think that drug-food interactions have | 263 | 76.9 | 76 | 22.2 | 339 | 99.1 |
| Do you think that the timing of taking drugs | 318 | 93.0 | 23 | 6.7 | 341 | 99.7 |
| Do you think some foods should be avoided | 283 | 82.7 | 57 | 16.7 | 340 | 99.4 |
| Do you think drug-food interactions can be | 275 | 80.4 | 60 | 17.5 | 335 | 98.0 |
| Do you think information regarding drug-food | 311 | 90.9 | 27 | 7.9 | 338 | 98.8 |
| Do you think you are well informed about drug-food | 167 | 48.8 | 172 | 50.3 | 339 | 99.1 |
| Are you interested in learning more about drug-food | 300 | 87.7 | 41 | 12.0 | 341 | 99.7 |
| Is it important to report drug-food interactions | 319 | 93.2 | 22 | 6.4 | 341 | 99.7 |
The total number of responses may not add up to 342, due to missing values
Yes- was the positive/correct response
Responses of patients to practice-related questions
| Practice questions | Correct response | Incorrect response | ||||
| n | (%) | n | (%) | n | (%) | |
| Which of the following do you | 245 | 71.6 | 97 | 28.4 | 342 | 100.0 |
| Do you stir your medications into | 313 | 91.5 | 26 | 7.6 | 339 | 99.1 |
| Do you take your vitamin pills at | 176 | 51.5 | 159 | 46.4 | 335 | 97.9 |
| Before taking your medication do | 313 | 91.5 | 27 | 7.9 | 340 | 99.4 |
| Before taking your medication do | 283 | 82.7 | 58 | 17.0 | 341 | 99.7 |
| Do you consult your healthcare | 211 | 61.7 | 129 | 37.7 | 340 | 99.4 |
| Do you follow the | 311 | 90.9 | 30 | 8.8 | 341 | 99.7 |
| Do you follow the | 302 | 88.3 | 37 | 10.8 | 339 | 99.1 |
The total responses may not add up to 342, due to missing values
Factors associated with attitudes of patients using logistic regression
| Variable | Attitude score | |
| OR (95%CI) | p-value | |
|
| ||
| Male | - | - |
| Female | 1.187 (0.702–2.006) | 0.522 |
|
| 0.994 (0.979–1.010) | 0.459 |
|
| ||
| 1 | - | - |
| 2 | 1.348 (0.752–2.416) | 0.316 |
| ≥ 3 | 1.586 (0.893–2.818) | 0.116 |
|
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| Yes | - | - |
| No | 2.254 (1.268–4.005) | 0.006 |
Significant association at p-value≤0.01
Variables with a p-value of 0.2 or less in the chi-square analysis were included in this regression model. These were gender and alcohol intake.
Age and number of disease conditions were included in the model.