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Three different ways to lower your risk of heart failure

 

By John M. Yarlott                  6-Aug-08

The connection between foods and coronary heart disease (CHD)

Scientists have discovered that an unbalance omega 6 (n6) and omega 3 (n3) fatty acids may lead to heart failure and other dietary diseases. These acids are known as essential fatty acids (EFA) that are obtained from the foods we eat. They are metabolized and stored in tissue membranes as highly unsaturated fatty acids (HUFA).[1]  The energy levels of tissue omega 6 and omega 3 HUFA have been measured in diverse groups of people and compared to the Mortality rates associated with those groups. It was found that heart failure rates are proportional to the percentage of n-6 long chain acids in the tissues of the study groups. An empirical formula was developed to estimate percentages of omega-6 in HUFA. [1] There are four variables used to predict risk in the formula: Omega 3 (n-3) and Omega 6 (n-6) short (18 carbon), and n-3 and n-6 long (20 and 22 carbons). When the formula is applied to a daily food plan the CHD risk factor in the range from 20% to90% is obtained. Researchers have correlated these risk factors with CHD mortality rates for various diet types. Typical USA diets have CHD mortality rates of  162 per 100,000 and the HUFA risk factor of 78%. The Japanese CHD mortality rates were 71 per 100,000 and a Tissue HUFA risk factor of 48%. The Mediterranean diet has a CHD mortality rate of 101 per 100,000 and a risk factor of 58%.

The Kim-2 Diet Planning Program

 

A computer program named Keep it Managed (KIM-2) was written that uses data from the USDA Nutrition database and the above mentioned empirical formula was written The program allows the selection of foods from the USDA database to create daily food plans. It calculates the CHD risk factor for each plan and allows the plan to be adjusted by making changes in the food selections and serving sizes. The program is available for downloading here [3].

There are many ways to lower the Mortality Rate associated with our diets. On the one hand we could eat fewer high risk foods and on the other hand increase the intake of Omega three in foods such as found seafood or fish oil supplements. The Mediterranean diet is an example of making better food choices while the traditional Japanese diet is richer in EPA and DHA omega 3’s.  

High risk foods

The Kim2 program was used to compare the effect of adding foods to a given meal plan. The plan chosen was a 1500 KCAL plan with an initial percent of the long 6 of 80%. Over 5,000 foods were systematically added to the base plan and the change in percent long 6 was recorded. Each food was assigned a food group and the results were subtotaled by food group. It was found that the following food groups raised the percent long 6 (increased mortality): all meats, eggs, margarines, Infant formula, seeds, and seafood from farms (the worst). All other food groups had little effect except for fish oil and seafood which significantly lowered the percent long 6.

Supplementing with fish oil

An example of the second option: supplement with fish oil, was tested using the KIM-2 software. A sample meal plan for the USA type diet is given below. Note that the overall HUFA risk is 80%. The second version of the same plan is shown below. Here a tablespoon of cod liver oil was added to the breakfast menu. Notice, the oveall risk was reduced  form 80% to 50% when the cod liver oil was added.

Granted that 14g of Fish Oil has more Omega-3 than the recommend Upper limit of 2.8g (1.2%), however this illustrates the point. If a Fish Oil supplement has 300 mg of n-3 per 1,000 mg capsule. Then 6.7 capsules would contain 2 mg of n-3! Below is a chart, on this basis, of Mortality rates vs. number of these fish oil capsules per day.

  This chart shows that 6 (1 g) capsules of Fish Oil per day could lower the CHD Mortality rate to about 100 per 100,000 people from about 180 per 100,000. A reduction of 45%! Adding Seafood to the diet would have similar results. People could use supplements in lieu of seafood and vice verse. The data in this chart was obtained by using the KIM-2 program to obtain the % en n-6 long in total HUFA for various serving sizes of fish oil in a typical 80% 1500 KCAL diet plan. The results were correlated with the Mortality rates using the following formula: Mortality=3.029*(%en n-6 long in total HUFA)-74.675 [1].

The dietary reference intakes (DRI) for n-3 polyunsaturated fatty acids (PUFA) are 0.6%-1.2 % of the daily energy. For a 2,000 KCAL diet that translates to 1.33-2.66 grams. Likewise for a 1500 KCAL diet the DRI translates to 1-2 grams n-3 per day. Approximately 10% of the total can come from HUFA n-3 n-6.

The Food table below was obtained by the addition of 1 ounce servings of each food in turn. The resulting % long HUFA in total HUFA is listed along with the % energy for each of the four omegas: n-3 short, n-3 long, n-6 short, and n-6 long.

 

Protein

FAT

Carb

KCAL

Category average

%lon6/ long 2

H6 long6

H3 long3

P3 short3

P6 short6

0.40444

2.0689

23.6522222

239.778

Alcohol

83.3

0.121637

0.104998

1.101414

9.31166

11.6614

1.4357

20.4728571

113.429

Algae

83.3

0.125868

0.117084

1.140734

9.549055

3.46129

2.1287

17.9469006

103.626

Babyfood

83.8

0.125744

0.107928

1.12862

9.604042

22.9

6.1

0

153

Beef

83.5

0.123545

0.106645

1.125123

9.483857

26.4

3.0333

53.3666667

348

Beverages

83.1

0.119276

0.10296

1.081662

9.182058

9.22319

6.2768

49.4384956

288.929

Breads

83.5

0.121331

0.104385

1.102316

9.44852

5.52467

11.861

56.9256

351.747

Cakes

83.5

0.120651

0.103197

1.099636

9.461068

6.73884

21.554

64.2121739

466.696

Candies

83.2

0.116922

0.100853

1.073179

9.325113

7.2814

3.4766

68.0399675

319.019

Cereals

83.3

0.12

0.103614

1.093818

9.331273

20.877

20.526

5.1695122

289.915

Cheeses

83.2

0.120703

0.10407

1.123115

9.293727

7.56333

10.417

24.84

223.333

child formula

83.5

0.122103

0.1054

1.106566

9.487743

3.36596

19.082

21.8435106

266.17

Condiments

83.8

0.121374

0.104646

1.244167

10.50204

5.60121

18.976

66.2489394

447.591

Cookies

83.5

0.11903

0.101545

1.089397

9.493481

9.57098

11.894

68.9578049

418.073

Crackers

83.3

0.118316

0.101805

1.089663

9.394141

6.1098

9.5616

19.2525743

185.248

Dairy

83.5

0.12309

0.10612

1.124508

9.472128

2.73328

6.7111

36.0537705

213.361

Desserts

83.6

0.123093

0.105671

1.119772

9.506661

16.0988

17.073

7.79727273

252.242

Eggs

86.0

0.150601

0.113197

1.112721

9.652484

0

99.895

0

890.038

Fats

83.8

0.111057

0.093936

1.180318

10.98989

8.59483

2.7903

72.1165517

331.586

Flours

83.3

0.119647

0.10328

1.08405

9.322114

1.09523

0.6758

24.4128488

99.9302

Fruits

83.7

0.124819

0.107728

1.128907

9.563496

8.55701

2.0185

59.9725287

289.08

Grains

83.3

0.120603

0.104091

1.094785

9.324336

7.22625

6.4038

39.84375

243.188

Gravies

83.4

0.121758

0.104984

1.106291

9.427826

2.66203

0.6375

5.58078125

32.9688

Greens

83.8

0.126472

0.109193

1.14846

9.676341

7.375

3.3525

21.87

124

Herb

83.1

0.124248

0.107252

1.262576

9.541605

4.355

1.16

13.55

62

Herbs

83.5

0.125651

0.108463

1.194878

9.618426

5.86552

12.547

26.0293103

240.414

Infant formula

84.1

0.128656

0.108396

1.131303

9.683667

8.52702

1.9449

37.3914894

201.617

Italian dish

83.5

0.122748

0.105766

1.109425

9.435613

0.25

0.1167

56.55

192.333

Jellies

83.4

0.122672

0.105891

1.107694

9.382816

0.67662

0.2222

20.1282353

79.6176

Juices

83.7

0.125251

0.108118

1.133431

9.581149

13.7289

6.8427

21.4568635

191.288

Legumes

83.7

0.122949

0.106005

1.136095

9.753318

0.47757

58.655

1.41162162

526.784

Margarines

84.0

0.116118

0.100153

1.315206

11.39256

22.1697

13.638

1.82376978

223.823

Meats

84.4

0.132393

0.106962

1.119285

9.501056

7.41438

8.9529

33.7114778

237.039

Miscellaneous

83.5

0.122356

0.105533

1.121003

9.528453

7.01813

6.3744

52.053125

289.719

Muffins

83.5

0.121206

0.104227

1.126625

9.582742

8.33067

4.5133

49.432

270.133

Noodles

83.6

0.122454

0.104463

1.115364

9.488747

11.6044

41.868

30.0344262

513.049

Nuts

83.9

0.116013

0.100143

1.142981

10.50807

0.02093

98.465

0.52093023

869.674

Oils

83.5

0.109538

0.094262

1.585735

12.79637

0.07

99.865

0.05375

900.625

Oils fish

39.1

0.251496

3.06227

1.117379

8.492027

8.275

0.4

50.325

244

Pasta

83.4

0.121584

0.104952

1.09546

9.318353

6.30935

23.448

48.3741935

427.226

Pastries

83.6

0.119225

0.102029

1.109947

9.716815

3.3

11.2

41.1

274

Pie

83.9

0.121184

0.104489

1.137848

10.04743

3.03655

12.576

35.9065517

262.414

Pies

83.7

0.122011

0.104814

1.12318

9.678977

12.241

11.971

29.4487179

274.513

Pizza

83.7

0.123358

0.104324

1.120902

9.531021

21.5388

6.5693

2.08052381

157.862

Seafood

79.4

0.136884

0.233786

1.155156

9.509894

19.0675

9.7025

0

169

Seafood farmed

91.5

0.227795

0.12142

1.124527

9.54691

22.9367

33.134

31.2707143

483.738

Seeds

84.4

0.116537

0.100646

1.161315

11.46049

8.64667

18.249

65.9052381

451.171

Snacks

83.7

0.117362

0.101125

1.088271

9.952491

4.02276

2.9958

12.5826437

92.3218

Soups

83.7

0.125138

0.108287

1.132588

9.646143

11.81

12.508

58.3875

320.844

Spices

83.0

0.120167

0.103619

1.22969

9.61501

3.99

0.69

2.1

23

Sprouts

83.8

0.126565

0.109252

1.168708

9.714697

6.87625

2.9975

7.78375

85.625

Stews

83.8

0.126137

0.107983

1.131198

9.592547

1.17857

0.2857

54.6328571

221.857

Teas

83.4

0.122138

0.10543

1.104397

9.34616

2.6069

1.5692

15.4060484

80.1411

Vegetables

83.7

0.125281

0.108134

1.141959

9.639084

12.7642

11.464

20.1766684

232.463

Grand

83.7

0.126867

0.114722

1.129165

9.614808

 

 References:

1.      William E Lands: “Functional Foods in Primary Prevention or Nutraceuticals in Secondary Prevention”, Current Topics in Nutraceutical Research Vol. 1, No.2, pp. X-X, 2003

2.      Bill Lands: “A critique of Paradoxes in current advice on dietary lipids” www.sciencedirect.com

3.      KIM-2 Free Software to Choose Foods, http://efaeducation.nih.gov/sig/kim.html

4.      Dietary Reference Intakes for Energy, Carbohydrate, Fiber, Fat, Fatty Acids, Cholesterol, Protein, and Amino Acids (2002). Food and Nutritional Board, Institute of Medicine, National Academies.

Related articles:
Eating Foods Rich in Antioxidants May Reduce the Risk of Dietary Diseases
Adequate Amounts of Omega-3 Oil may Help Prevent Heart Disease

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