| Literature DB >> 33271775 |
Laura Piombo1, Gianluca Nicolella1, Giulia Barbarossa1, Claudio Tubili2, Mayme Mary Pandolfo2, Miriam Castaldo1, Gianfranco Costanzo1, Concetta Mirisola1, Andrea Cavani1.
Abstract
Immigrants show higher adjusted diabetes prevalence than Italians, especially among South-East Asians followed by North and Sub-Saharan Africans. Diabetes progression is influenced by food behaviors, and diet control is a critical aspect in disease management. Food habits have many cultural and symbolic implications. Guidelines recommend that every patient should receive appropriate self-management education according to cultural and socioeconomic characteristics. This study aims to test whether a customized diet and transcultural mediator's support can improve immigrants' food habits. A pre-post quali-quantitative study was conducted among 20-79-year-old Bangladeshi and North African diabetic immigrants. The INMP transcultural mediator, an expert in the social and health care field, actively participates in clinical activity by decoding linguistic and cultural needs expressed by the foreigner patient. Five culturally tailored dietary profiles were designed according to international diabetes guidelines and adjusted to traditional food habits. Data were collected with two different semi-structured questionnaires. Changes in food consumption were assessed through McNemar's test, while paired Wilcoxon Signed-Rank test was used to analyze pre and post intervention. Fifty-five patients were enrolled. At follow-up, cereals, meat, and potatoes intake significantly improved, and the number of adequate dietary habits for each patient increased significantly. Transcultural mediator support was 90% positively evaluated. Adherence to dietary control is favorably influenced by a transcultural intervention, which is based on clinical and socio-cultural criteria, in compliance with patient's lifestyles.Entities:
Keywords: culturally tailored diet; diabetes; food habits; migrants; transcultural mediator
Year: 2020 PMID: 33271775 PMCID: PMC7730264 DOI: 10.3390/ijerph17238932
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Culturally tailored dietary profiles for North African and Bangladeshi diabetic patients: Two main meals extract.
| Main Meal | Bangladesh | Egypt |
|---|---|---|
| Breakfast | Salty | Sweety |
| Lunch | A meal of parboiled/brown rice and salad as aperitif | A meal of parboiled/brown rice |
| Dinner | Couscous with chickpeas/fish/meat and vegetables |
ruti: Flat-bread made with millet flour, barley, wheat (without yeast); shak: Broad leafy vegetables (beet, spinach, chicory); shobji: Vegetables (zucchini, tomatoes, cauliflower, cabbage, onion, green beans, pepper, pumpkin); salad: Salad of lettuce, tomatoes, cucumber, onion with coriander; dhal: Lentils (cream); rui: River fish (Labeorohita); tengra: River fish (Mystustengara); rupchada: Sea fish (Pampuschinensis); aloo: Potatoes; koshari: A rice with pulses dish (lentils or chickpeas); sayydaiah: A fish dish; melokhia: A spinach soup.
Figure 1Workflow of the transcultural intervention design.
Socio-demographic characteristics of patients (n = 55).
| Characteristic |
| % | |
|---|---|---|---|
| Sex (n, %) | |||
| Male | 49 | 89 | |
| Female | 6 | 11 | |
| Age, y ( | 44.3 (22–65) | ||
| ≤29 | 3 | 5 | |
| 30-39 | 14 | 25 | |
| 40–49 | 20 | 36 | |
| ≥50 | 18 | 34 | |
| Origin (n, %) | |||
| Bangladesh | 37 | 67 | |
| Morocco | 10 | 18 | |
| Algeria | 2 | 4 | |
| Tunisia | 1 | 2 | |
| Egypt | 5 | 9 | |
| Religion (n, %) | |||
| Muslim | 53 | 96 | |
| Hinduism | 2 | 4 | |
| Qualification (n, %) | |||
| Not schooled | 7 | 13 | |
| Junior high school diploma | 28 | 51 | |
| High school diploma | 11 | 20 | |
| Degree and beyond | 9 | 16 | |
| Area of origin (n, %) | |||
| Rural area | 21 | 56 | |
| Urban area | 24 | 44 | |
| Living in Italy, y ( | 11.4 (0–41) | ||
| Accommodation (n, %) | |||
| House rent with family or compatriots | 36 | 66 | |
| As guest | 9 | 16 | |
| Migrants helter | 5 | 9 | |
| Homeless | 4 | 7 | |
| Own house | 1 | 2 | |
| Juridical status (n, %) | |||
| Irregular | 26 | 47 | |
| Regular | 29 | 53 | |
| Work (n, %) | |||
| Unemployed | 16 | 29 | |
| Employed | 39 | 71 |
Food habits, barriers, and motivations in dietary management of patients (N = 55).
| Items | Categories |
| % |
|---|---|---|---|
| Degree of satisfaction with the diet 1 | 1 | 6 | 11 |
| 2 | 4 | 7 | |
| 3 | 17 | 31 | |
| 4 | 12 | 22 | |
| 5 | 16 | 29 | |
| How much diet have changed after arriving in Italy 2 | 1 | 9 | 16 |
| 2 | 9 | 16 | |
| 3 | 14 | 26 | |
| 4 | 10 | 18 | |
| 5 | 13 | 24 | |
| Kind of diet followed in Italy | Only or mainly typical of own country | 40 | 73 |
| Only or mainly Italian | 15 | 27 | |
| Principal reasons | « | 31 | 56 |
| « | 20 | 36 | |
| « | 2 | 4 | |
| « | 1 | 2 | |
| « | 1 | 2 | |
| Most common bad dietary habits | « | 32 | 57 |
| « | 11 | 20 | |
| « | 7 | 13 | |
| « | 2 | 4 | |
| « | 1 | 2 | |
| « | 2 | 4 | |
| What the patient eats depends on... | « | 27 | 49 |
| « | 13 | 24 | |
| « | 11 | 20 | |
| « | 3 | 5 | |
| « | 1 | 2 | |
| Principal difficulties in management of food behaviors | « | 11 | 20 |
| « | 21 | 38 | |
| « | 7 | 13 | |
| « | 4 | 7 | |
| « | 2 | 4 | |
| « | 1 | 2 | |
| « | 1 | 2 | |
| « | 8 | 14 |
1 from 1 ‘very bad’ to 5 ‘excellent’. 2 from 1 ‘not at all’ to 5 ‘completely’.
Food frequency before and after six months (n = 30).
| Food Categories | Patients with Adequate Consumption | ||
|---|---|---|---|
| Before | After | Δ | |
|
| |||
| Meals (4–5) | 7 (23.3) | 13 (43.3) | +6 (+20.0) |
| Fruit and vegetable (3–5) | 5 (16.7) | 10 (33.3) | +5 (+16.6) |
| Cereals and derivatives (3) | 7 (23.3) | 14 (46.7) | +7 (+23.4) 1 |
| Milk and yogurt (1–2) | 15 (50.0) | 18 (60.0) | +3 (+10.0) |
|
| |||
| Meat (2–3) | 3 (10.0) | 12 (40.0) | +9 (+30.0) 1 |
| Legumes (≥ 2) | 24 (80.0) | 26 (86.7) | +2 (+6.7) |
| Fish (≥ 2) | 26 (86.7) | 27 (90.0) | +1 (+3.3) |
| Potatoes (≤ 2) | 19 (63.3) | 27 (90.0) | +8 (+26.7) 1 |
| Cheese (≤ 2) | 24 (80.0) | 27 (90.0) | +3 (+10.0) |
|
| |||
| Snack | 22 (73.3) | 21 (70.0) | −1 (−3.3) |
| Alcohol drinks | 30 (100) | 29 (96.7) | −1 (−3.3) |
| Soft drinks | 16 (53.3) | 18 (60.0) | +2 (+6.7) |
| Nr of adequate dietary habits per patient (median) | 7 | 8 | +1 2 |
1 Statistically significant changes assessed by one-tail McNemar’s test p < 0.05. 2 Statistically significant changes assessed by Wilcoxon Signed-Rank test p < 0.05.