| Literature DB >> 26340638 |
Fabio Moura1, João Salles2, Osama Hamdy3, Walmir Coutinho4, Deise Regina Baptista5, Alexander Benchimol6, Albert Marchetti7, Refaat A Hegazi8, Jeffrey I Mechanick9.
Abstract
The prevalence of obesity, pre-diabetes, and type 2 diabetes (T2D) is increasing worldwide, especially in the developing nations of South America. Brazil has experienced an exponential increase in the prevalence of these chronic non-communicable diseases. The rising prevalence is probably due to changing eating patterns, sedentary living, and a progressive aging of the population. These trends and their underlying causes carry untoward consequences for all Brazilians and the future of Brazilian public health and the healthcare system. Lifestyle changes that include healthy eating (nutrition therapy) and regular physical activity (structured exercise) represent efficient inexpensive measures to prevent and/or treat the aforementioned disorders and are recommended for all afflicted patients. Regrettably, the implementation of lifestyle changes is fraught with clinical and personal challenges in real life. The transcultural Diabetes Nutrition Algorithm (tDNA) is a therapeutic tool intended to foster implementation of lifestyle recommendations and to improve disease-related outcomes in common clinical settings. It is evidence-based and amenable to cultural adaptation. The Brazilian Diabetes Association, Society of Cardiology and Ministry of Health guidelines for nutrition therapy and physical exercise were considered for the Brazilian adaptation. The resultant tDNA-Brazil and its underlying recommendations are presented and explained.Entities:
Keywords: Brazil; algorithm; chronic non-communicable disease; diabetes; nutrition therapy; obesity; physical exercise; prediabetes; transcultural
Mesh:
Year: 2015 PMID: 26340638 PMCID: PMC4586537 DOI: 10.3390/nu7095342
Source DB: PubMed Journal: Nutrients ISSN: 2072-6643 Impact factor: 5.717
Transcultural Nutrition Algorithm Adaptations.
| Mechanick, J.; Marchetti, A.E.; Apovian, C.; Benchimol, A.K.; Bisschop, P.H.; Bolio-Galvis, A.; Hegazi, R.A.; Jenkins, D.; Mendoza, E.; Sanz, M.L.; |
| Su, H.-Y.; Huang, S.-Y.; Tsang, M.-W.; Mechanick, J.I.; Sheu, W.H.; Marchetti, A.; Task Force for Development of Transcultural Algorithms in Nutrition and Diabetes. Transculturalization of a diabetes-specific nutrition algorithm: Asian application. |
| Cecilia A. Jimeno, Roberto C. Mirasol, Osama Hamdy, Albert Marchetti, Refaat A.Hegazi, Jeffrey I. Mechanick. Transcultural Diabetes Nutrition Algorithm (tDNA): The Philippine Application.Panamanian, Costa Rican, Colombian, and Middle Eastern Applications |
| Panamanian, Costa Rican, Colombian, and Middle Eastern Applications |
Figure 1Transcuture Diabetes Nutrition Algorithm (tDNA)—Brazilian Application.
BMI, WC, and Diabetes Risk for Brazilians Patients.
| BMI (kg/m2) | Level of Obesity | Disease Risk | ||
|---|---|---|---|---|
| WC Male ≤ 102 cm Female ≤ 88 cm | WC Male ≤ 102 cm Female ≤ 88 cm | |||
| <18.5 | ||||
| 18.5–24.9 | ||||
| 25.0–29.9 | Elevated | High | ||
| 30.0–34.9 | I | High | Very high | |
| 35.0–39.9 | II | Very high | Very high | |
| ≥40 | III | Extremely high | Extremely high | |
BMI, body mass index; WC, waist circumference, waist measured at the level of the anterior superior iliac crest.
A1c Assessment for the Diagnosis of Prediabetes and T2D.
| Diagnosis/Condition | A1c | Risk |
|---|---|---|
| 4%–5.6% | - | |
| 5.7%–6.4% | High | |
| ≥6.5% | Very High | |
| <7% | Very High | |
| ≥7% | Extremely High |
A1c, hemoglobin A1c; (1) The Brazilian Society of Diabetes recommends that A1c alone should not be used for T2D and Pre Diabetes diagnosis; (2) High performance liquid chromatography is the best assay for A1c measure.
Screening Before Beginning a Structured Physical Activity Program.
| Condition | Subjects | Comments |
|---|---|---|
| All patients with CND older than 35 years old | Clinical history (exercise dyspnea, chest discomfort), physical examination (blood pressure, cardiac rhythm, arterial pulses), ECG, Echocardiogram, cardiac stress total | |
| Diabetic patients | Clinical history, physical examination (postural hypotension, tachycardia) | |
| Diabetic patients | Clinical history (paresthesia, allodynia), physical examination (hypoesthesia) | |
| Diabetic patients | Ophthalmologic evaluation (dilated fundoscopy), retinal angiography | |
| Diabetic patients | Albumin/creatinine ratio |
ECG, electrocardiogram; CND, chronic non-communicable disease.
Physical Activity Recommendations.
| Type of Activity | Examples | Frequency | Duration |
|---|---|---|---|
| Walking | ≥5 days/week | ≥30 min | |
| Walking | ≥3 days/week | ≥25 min | |
| Resistance bands, | ≥2 day/week | ≥10 min | |
| Calf stretching | After each activity session | ≥5–10 min |
Nutritional Guidelines for T2D by Brazilian Diabetes Association.
| Recommendations (Daily) | |
|---|---|
| Carbohydrates | 45%–60% of caloric intake |
| Sucrose | Less than 10% of caloric intake |
| Fructose | No addiction |
| Fibers | 20 g (minimal) 14 g/1000 Kcal (ideal) |
| Fats | Less than 30% of caloric intake |
| Saturated fats | Less than 7% of caloric intake |
| Trans fat | Less than 2 g (maximal) No
|
| Polyunsaturated fats | 10% of caloric intake |
| Monounsaturated fats | Individualized. Increase the ingestion |
| Cholesterol | Less than 200 mg |
| Proteins | 15%–20% of caloric intake |
| Vitamins and minerals | No specific recommendations for this population |
| Sodium | Less than 2.400 mg |
Caloric Needs and GTSN Recommendations Based on Gender, BMI and A1c.
| Nutritional State (BMI) | A1c | Gender | Meal Plan | Specialized Nutrition in Blood Sugar Control |
|---|---|---|---|---|
| Overweight/Obesity BMI 25–29.9 | Any | Female | Plan 1 1200 Calories | ≤3 |
| Male | Plan 2 1500 Calories | ≤3 | ||
| Overweight/Obesity BMI >30 | Any | Female | Plan 2 1500 Calories | ≤3 |
| Male | Plan 3 1800 Calories | ≤3 | ||
| Normal Weight BMI 18.5–24.9 | <7% | Female | Plan 3 1800 Calories | Clinical criteria |
| Male | Plan 4 2200 Calories | Clinical criteria | ||
| ≥7% | Female | Plan 3 1800 Calories | ≤2 | |
| Male | Plan 4 2200 Calories | ≤2 | ||
| Underweight BMI <18.5 | Any | Male/Female | Plan 5 2200 Calories | ≤3 |
GTSN, glycemia targeted specialized nutrition; BMI, body mass index; A1c, hemoglobin A1c.
Classification of Hypertension by Brazilian Cardiology Society.
| Classification of Blood Pressure | Systolic Blood Pressure | Diastolic Blood Pressure |
|---|---|---|
| Excellent | <120 mmHg | <80 mmHg |
| Normal | <130 mmHg | <85 mmHg |
| Pre-hypertension | 130–139 mmHg | 85–89 mmHg |
| Hypertension Stage 1 | 140–159 mmHg | 99–99 mmHg |
| Hypertension Stage 2 | 160–179 mmHg | 100–109 mmHg |
| Hypertension Stage 3 | 180 mmHg | 110 mmHg |
| Systolic Hypertension | >140 mmHg | <90 mmHg |
Brazilian Cardiology Society Nutritional Recommendations for Hypertension.
| Choose foods that have minimal saturated fat, cholesterol, and total fat, for example, lean meat, poultry, and fish, using them in moderation. |
| Eat varied fruits and vegetables, approximately eight to ten servings per day (one serving is equal to an average shell). |
| Include two or three servings of nonfat or semi-skimmed dairy per day. |
| Prefer whole foods such as bread, whole cereals and whole grains, or whole wheat pasta. |
| Consume oil (olive oil, nuts), seeds, and grains, four to five servings per week (one serving is equal to 1/3 cup or 40 g of nuts, two tablespoons or 14 grams of seeds or 1/2 cup of beans or cooked and dried peas) |
| Reduce added fats. Use light margarine and unsaturated vegetable oils (such as olive, soy, corn, canola oil). |
| Avoid adding salt to food. Also avoid ready-made sauces, broths, and industrial products. |
| Reduce or avoid consumption of sweets and sugary drinks. |
Classification of Cholesterol and Triglycerides by Brazilian Cardiology Society.
| Blood lipids | Range (mg/dL) | Classification |
|---|---|---|
| <200 mg/dL | Excellent | |
| 201–239 mg/dL | Borderline | |
| >240 mg/dL | High risk | |
| <100 mg/dL | Excellent | |
| 101–129 mg/dL | Normal | |
| 130–159 mg/dL | Borderline | |
| 160–189 mg/dL | High risk | |
| >190 mg/dL | Very high risk | |
| >60 mg/dL | Excellent | |
| <40 mg/dL | Low | |
| <150 mg/dL | Excellent | |
| 151–200 mg/dL | Borderline | |
| 201–499 mg/dL | High | |
| >500 mg/dL | Very high | |
| <130 mg/dL | Excellent | |
| 131–159 mg/dL | Borderline | |
| 160–189 mg/dL | High | |
| >190 mg/dL | Very high |
C, cholesterol; LDL-C, low density lipoprotein cholesterol; HDL-C, high density lipoprotein cholesterol; TG, triglyceride; (1) Appropriate lipids levels must be individualized for each patient according to cardiovascular CVD risk; (2) CVD risk assessment must take account the sum of all risk factors (T2D, hypertension, dyslipidemia, smoking), using a CVD risk score, for example, the Framingham score.
Brazilian Cardiology Society Nutritional Recommendations for Dyslipidemia.
| Recommended Consumption | |||
|---|---|---|---|
| Foods | Daily | Moderate | Occasional |
| Cereals | Whole grains | White bread, crackers, rice, pasta, sugary cereals. | Sweet breads, cakes, pies |
| Vegetables | Raw and cooked vegetables | -------------------------- | Buttered vegetables |
| Fruits | Fresh fruits | Dried fruits, jellies | ------------------------- |
| Sweets and Sweeteners | Non caloric | Honey, chocolate | Cakes, pies |
| Meat, fish, poultry | Fish, chicken without skin | Lean meat, seafood | Sausages, salami, canned meat, viscera. |
| Milk, Eggs | Nonfat (skimmed) milk and yogurt, cooked egg white | Low fat (semi- skimmed) milk, white cheese. | Yellow and cream cheese, egg yolk, milk, whole yogurt |
| Sauces | Vinegar, mustard, olive oil | -------------------------- | Butter, solid margarine, pig and trans fat, coconut oil. |
| Nuts, Seeds | Small amounts: less than 30 g per day | All | Coconut |
| Food Preparation | Grilled, roasted, or steam | Baked | Fried |