| Literature DB >> 31303853 |
Ida Seriwati Ismail1, Suhaily Mohd Hairon2, Najib Majdi Yaacob1, Alwi Muhd Besari3, Sarimah Abdullah2.
Abstract
BACKGROUND: The recent epidemic of dengue fever (DF) in Malaysia was alarming. The treatment of DF remains supportive as there is no anti-viral agent or vaccine available as yet. Traditional and complementary medicine (T&CM) provides an alternative option for the treatment of DF but there is limited evidence with regard to its usage. The aim of this study was to determine the prevalence, types and predictor factors of T&CM usage among DF patients in the northeast region of Peninsular Malaysia.Entities:
Keywords: crab soup; dengue fever; isotonic drinks; papaya leaf extract; traditional and complementary medicine
Year: 2019 PMID: 31303853 PMCID: PMC6613470 DOI: 10.21315/mjms2019.26.3.7
Source DB: PubMed Journal: Malays J Med Sci ISSN: 1394-195X
Descriptive statistics of all study participants (n = 241)
| Variables | Mean (SD) | |
|---|---|---|
| Age | 36.62 (14.62) | |
| Gender | ||
| Male | 139 (57.7) | |
| Female | 102 (42.3) | |
| Race | ||
| Malay | 227 (94.2) | |
| Chinese | 7 (2.9) | |
| Indian | 4 (1.7) | |
| Others | 3 (1.2) | |
| Education | ||
| No formal education | 4 (1.7) | |
| Primary | 15 (6.2) | |
| Secondary | 100 (41.5) | |
| Tertiary | 122 (50.6) | |
| Employment | ||
| Employed | 151 (62.7) | |
| Unemployed | 90 (37.3) | |
| Type of DF | ||
| DF without warning sign | 80 (33.2) | |
| DF with warning sign | 139 (57.7) | |
| Severe dengue | 22 (9.1) | |
| Days of fever on admission (days) | 5.00 (2.00) | |
| Length of stay (days) | 5.00 (2.00) | |
median (IQR)
Usage of T&CM among DF patients (n = 241)
| Variables | |
|---|---|
| T&CM Usage | |
| No | 37 (15.4) |
| Yes | 204 (84.6) |
| Number of T&CM used | |
| 0 | 37 (15.4) |
| 1 | 34 (14.1) |
| 2 | 60 (24.9) |
| 3 | 57 (23.7) |
| 4 | 40 (16.6) |
| 5 | 7 (2.9) |
| 6 | 2 (0.8) |
| 7 | 4 (1.7) |
| Days of fever starting T&CM use ( | |
| Day 1 | 141 (58.5) |
| Day 2 | 27 (11.2) |
| Day 3 | 20 (8.3) |
| Day 4 | 14 (5.8) |
| Day 5 | 2 (0.8) |
Types of T&CM use among DF patients (n = 204)
| Types of T&CM use | |
|---|---|
| Traditional Medicine | |
| Traditional Chinese Medicine | |
| Chinese medication | 1 (0.5) |
| Chinese herbal drink | 1 (0.5) |
| Traditional Islamic Medical Practice | |
| | 1 (0.5) |
| Elixir drink (Air penawar) | 1 (0.5) |
| Zamzam water | 1 (0.5) |
| Complementary Medicine | |
| Biological based therapies | |
| Animal based | |
| Crab soup | 174 (85.3) |
| Eel soup | 8 (3.9) |
| Plant based | |
| Extract | |
| Papaya leaf extract | 131 (64.2) |
| Juice | |
| Kiwi juice | 40 (19.6) |
| Coconut juice | 12 (5.9) |
| Guava juice | 8 (3.9) |
| Orange juice | 6 (2.9) |
| Dates juice | 5 (2.5) |
| | 3 (1.5) |
| Beetroot juice | 3 (1.5) |
| | 3 (1.5) |
| Soybean milk | 1 (0.5) |
| Fruits | |
| Watermelon | 11 (5.4) |
| Grape | 5 (2.5) |
| Apple | 4 (2.0) |
| Pomegranate | 4 (2.0) |
| Banana | 1 (0.5) |
| Dietary supplement and others | |
| Isotonic drink | 126 (61.8) |
| Vitamin supplement | 4 (2.0) |
| Milk | 3 (1.5) |
Total is more than 100% because one patient can take more than one type of T&CM
Simple logistic regression for predictors of T&CM use among DF patients (n = 204)
| Variables | Group, | Crude b | Crude OR (95%CI) | Wald stat (df = 1) | ||
|---|---|---|---|---|---|---|
| T&CM non-user | T&CM user | |||||
| Age (years) | 42.62 (16.34) | 35.53 (14.06) | −0.03 | 0.97 (0.95, 0.99) | 7.07 | 0.008 |
| Gender | ||||||
| Male | 21 (56.8) | 118 (57.8) | 0 | 1 | ||
| Female | 16 (43.2) | 86 (42.2) | −0.04 | 0.96 (0.47, 1.94) | 0.02 | 0.902 |
| Race | ||||||
| Malay | 34 (91.8) | 193 (94.6) | 0 | |||
| Non-Malay | 3 (8.2) | 11 (5.4) | −0.44 | 0.65 (0.17, 2.44) | 0.42 | 0.519 |
| Education | ||||||
| Primary and lower | 7 (18.9) | 12 (5.9) | 0 | 1 | ||
| Secondary | 18 (48.6) | 82 (40.2) | 0.98 | 2.66 (0.92, 7.69) | 3.25 | 0.071 |
| Tertiary | 12 (32.5) | 110 (53.9) | 1.68 | 5.35 (1.77, 16.17) | 8.82 | 0.003 |
| Employment | ||||||
| Employed | 27 (73.0) | 124 (60.8) | 0 | 1 | ||
| Unemployed | 10 (27.0) | 80 (39.2) | 0.56 | 1.74 (0.80, 3.79) | 1.95 | 0.162 |
| Type of DF | ||||||
| Without warning sign | 9 (24.3) | 71 (34.8) | 0 | 1 | ||
| With warning sign | 23 (62.2) | 116 (56.9) | −0.39 | 0.67 (0.23, 2.01) | 0.50 | 0.479 |
| Severe dengue | 5 (13.5) | 17 (8.3) | 0.45 | 1.56 (0.69, 3.57) | 1.13 | 0.288 |
| Days of fever on admission | 5.00 (2.00) | 5.00 (2.00) | −0.01 | 0.99 (0.79, 1.23) | 0.01 | 0.919 |
Mean = SD,
Median = Interquartile Range (IQR)
Multiple logistic regression for predictors of T&CM use among DF patients (n = 204)
| Variables | Group, | Adj. b | Adj. OR (95%CI) | Wald stat (df = 1) | ||
|---|---|---|---|---|---|---|
| T&CM non-user | T&CM user | |||||
| Age (years) | 42.62 (16.34) | 35.53 (14.06) | −0.04 | 0.97 (0.94, 0.99) | 6.07 | 0.014 |
| Education | ||||||
| Primary and lower | 7 (18.9) | 12 (5.9) | 0 | 1 | ||
| Secondary | 18 (48.6) | 82 (40.2) | 0.82 | 2.28 (0.74, 6.93) | 2.03 | 0.154 |
| Tertiary | 12 (32.5) | 110 (53.9) | 1.35 | 3.86 (1.21, 12.32) | 5.21 | 0.023 |
| Employment | ||||||
| Employed | 27 (73.0) | 124 (60.8) | 0 | 1 | ||
| Unemployed | 10 (27.0) | 80 (39.2) | 0.94 | 2.55 (1.02, 6.42) | 3.98 | 0.046 |
Mean = SD
Backward LR method used for variable selection Constant = 1.81
No interaction and multicollinearity between age, education and employment
Hosmer and Lemeshow test, P-value = 0.113
Classification table overall percentage correct = 84.
Area under ROC cure = 69.2%, 95%CI: 58.9%, 79.6%, P < 0.001
Cook’s influential statistics indicate no influential outlier