Symposium of Dietary Intakes - Indonesia - April 2016

28

Transcript of Symposium of Dietary Intakes - Indonesia - April 2016

Page 1: Symposium of Dietary Intakes - Indonesia - April 2016

FOOD CONSUMPTION SURVEY (FCS)

INDONESIA 2014

Research Center and Development of Resources and Health Services National Institute of Health Research and Development,

MOH Indonesia

Astuti Lamid

3

Fig 1. Disease Mortality

Disease outcomes • Heart disease • Stroke • Diabetes • Cancer • Chronic Obstructive Pulmonary Diseases (COPD)

Physiologic risk factors (Parameters change in the body) • Body Mass Index • Blood pressure • Blood glucose • Blood cholesterol

Risky Behaviors • Tobacco Smoking • Alcohol • Lack of physical

activities • Diet (Nutrition

and contaminants intakes)

Food Consumption Survey (FCS)

4

Fig 2. Risk Factor NCD

Page 2: Symposium of Dietary Intakes - Indonesia - April 2016

FOOD CONSUMPTION SURVEY (FCS)

INDONESIA 2014

Research Center and Development of Resources and Health Services National Institute of Health Research and Development,

MOH Indonesia

Astuti Lamid

3

Fig 1. Disease Mortality

Disease outcomes • Heart disease • Stroke • Diabetes • Cancer • Chronic Obstructive Pulmonary Diseases (COPD)

Physiologic risk factors (Parameters change in the body) • Body Mass Index • Blood pressure • Blood glucose • Blood cholesterol

Risky Behaviors • Tobacco Smoking • Alcohol • Lack of physical

activities • Diet (Nutrition

and contaminants intakes)

Food Consumption Survey (FCS)

4

Fig 2. Risk Factor NCD

Page 3: Symposium of Dietary Intakes - Indonesia - April 2016

FOOD CONSUMPTION SURVEY (FCS)

INDONESIA 2014

Research Center and Development of Resources and Health Services National Institute of Health Research and Development,

MOH Indonesia

Astuti Lamid

3

Fig 1. Disease Mortality

Disease outcomes • Heart disease • Stroke • Diabetes • Cancer • Chronic Obstructive Pulmonary Diseases (COPD)

Physiologic risk factors (Parameters change in the body) • Body Mass Index • Blood pressure • Blood glucose • Blood cholesterol

Risky Behaviors • Tobacco Smoking • Alcohol • Lack of physical

activities • Diet (Nutrition

and contaminants intakes)

Food Consumption Survey (FCS)

4

Fig 2. Risk Factor NCD

Page 4: Symposium of Dietary Intakes - Indonesia - April 2016

FOOD CONSUMPTION SURVEY (FCS)

INDONESIA 2014

Research Center and Development of Resources and Health Services National Institute of Health Research and Development,

MOH Indonesia

Astuti Lamid

3

Fig 1. Disease Mortality

Disease outcomes • Heart disease • Stroke • Diabetes • Cancer • Chronic Obstructive Pulmonary Diseases (COPD)

Physiologic risk factors (Parameters change in the body) • Body Mass Index • Blood pressure • Blood glucose • Blood cholesterol

Risky Behaviors • Tobacco Smoking • Alcohol • Lack of physical

activities • Diet (Nutrition

and contaminants intakes)

Food Consumption Survey (FCS)

4

Fig 2. Risk Factor NCD

Page 5: Symposium of Dietary Intakes - Indonesia - April 2016

• Food Consumption Survey 2014

• Food Chemical Contaminant

Exposure Analysis 2015

• Total Diet Study

National Institute of Health Research and Development (Indonesia MOH)

Fig 3. FCS, Indonesia 2014 Objectives Food Consumption Survey

1. To determine mean food consumed by population based on ages and food groups

2. To determine mean intake and adequacy of energy and protein of population

3. To determine proportion of population consumed sodium, sugar and fat exceeds the recomendation of health ministerial decree

4. To determine foodlist which represented of 90 percent of population diet

METHODOLOGY

A cross sectional design Study site: all province and district Timeline: Jan –Dec 2014 Individu: 191.524; Household: 51.127 Census Block: 2.080

trictRespond Rate: Individu: 162.044 (84,6%); Household: 46.238 (90,4%) Census Block: 2.072 (99,6%)

Fig 4. Sample of FCS, Indonesia 2014

Page 6: Symposium of Dietary Intakes - Indonesia - April 2016

• Food Consumption Survey 2014

• Food Chemical Contaminant

Exposure Analysis 2015

• Total Diet Study

National Institute of Health Research and Development (Indonesia MOH)

Fig 3. FCS, Indonesia 2014 Objectives Food Consumption Survey

1. To determine mean food consumed by population based on ages and food groups

2. To determine mean intake and adequacy of energy and protein of population

3. To determine proportion of population consumed sodium, sugar and fat exceeds the recomendation of health ministerial decree

4. To determine foodlist which represented of 90 percent of population diet

METHODOLOGY

A cross sectional design Study site: all province and district Timeline: Jan –Dec 2014 Individu: 191.524; Household: 51.127 Census Block: 2.080

trictRespond Rate: Individu: 162.044 (84,6%); Household: 46.238 (90,4%) Census Block: 2.072 (99,6%)

Fig 4. Sample of FCS, Indonesia 2014

Page 7: Symposium of Dietary Intakes - Indonesia - April 2016

• Food Consumption Survey 2014

• Food Chemical Contaminant

Exposure Analysis 2015

• Total Diet Study

National Institute of Health Research and Development (Indonesia MOH)

Fig 3. FCS, Indonesia 2014 Objectives Food Consumption Survey

1. To determine mean food consumed by population based on ages and food groups

2. To determine mean intake and adequacy of energy and protein of population

3. To determine proportion of population consumed sodium, sugar and fat exceeds the recomendation of health ministerial decree

4. To determine foodlist which represented of 90 percent of population diet

METHODOLOGY

A cross sectional design Study site: all province and district Timeline: Jan –Dec 2014 Individu: 191.524; Household: 51.127 Census Block: 2.080

trictRespond Rate: Individu: 162.044 (84,6%); Household: 46.238 (90,4%) Census Block: 2.072 (99,6%)

Fig 4. Sample of FCS, Indonesia 2014

Page 8: Symposium of Dietary Intakes - Indonesia - April 2016

• Food Consumption Survey 2014

• Food Chemical Contaminant

Exposure Analysis 2015

• Total Diet Study

National Institute of Health Research and Development (Indonesia MOH)

Fig 3. FCS, Indonesia 2014 Objectives Food Consumption Survey

1. To determine mean food consumed by population based on ages and food groups

2. To determine mean intake and adequacy of energy and protein of population

3. To determine proportion of population consumed sodium, sugar and fat exceeds the recomendation of health ministerial decree

4. To determine foodlist which represented of 90 percent of population diet

METHODOLOGY

A cross sectional design Study site: all province and district Timeline: Jan –Dec 2014 Individu: 191.524; Household: 51.127 Census Block: 2.080

trictRespond Rate: Individu: 162.044 (84,6%); Household: 46.238 (90,4%) Census Block: 2.072 (99,6%)

Fig 4. Sample of FCS, Indonesia 2014

Page 9: Symposium of Dietary Intakes - Indonesia - April 2016

In each CB there were 25 chosen house hold. All members in each HH were interviewed and measured the body weight.

Data collected and method data collection: 1. Food consumed (food, beverage, condiment)

Recall method 1x24 hours Techniques recall method used was 5-Step Multiple-Pass Method Repeated Recall 1x24 hr/ Sub-sample nonconsequtive days 10%

2. Body weight Measurement 3. Social economy Interview 4. Food processing & cooking Interview

1. Questionaire (Households and Individu) 2. Anthropometry digital weight scales 3. Manual for conducting FCS 2014 4. Manual to fill out FCS Questionnaire 5. Manual code dish FCS 2014 6. Manual code raw food FCS 2014 7. Manual conversion cooked to raw weight 8. Recipe fast food and snacks 9. Manual estimation the amount of salt and oil absorption 10.Photo album of type of food consumed in FCS 2014. 11.Manual management data FCS 2014 12.Manual organizing and management FCS 2014

The instruments and manual used in data collection

Quality Assurance (QA) and Quality Control (QC) • QA: Training tim,test questioner and manual etc • QC: supervision

Data Management and Data Analysis •Data management: editing, entry, merging, cleaning and imputation data •Data analysis: vFood grouped into 17 groups (Asean grouping) vAge groups : children 0-59 mo, 5-12 yr, adolescent 13-18 yr, adults19-55 yr, ederly > 55 yr vFood consumed analysis using Food Composition Data-borrowing data vData energy, protein, CHO, fat and natrium presented in mean and proportion. Determination of energy and protein adequacy using Indonesia RDA

Tabel 1. Food Group FCS, Indonesia 2014 1 Cereals and cereal product 2 Starchy roots and tubers and product 3 Legumen, nut and seed 4 Vegetable and produts 5 Fruits and product 6 Meat, poultry and product and other animal 7 Offal and product 8 Fish and shellfish, and other aquatic animal 9 Egg and product 10 Milk and milk product 11 Fat and oil 12 Sugar, Syrup, and confectionery 13 Condiment and spices 14 Beverage 15 Fast food 16 Fluid 17 Miscellaneous

Page 10: Symposium of Dietary Intakes - Indonesia - April 2016

In each CB there were 25 chosen house hold. All members in each HH were interviewed and measured the body weight.

Data collected and method data collection: 1. Food consumed (food, beverage, condiment)

Recall method 1x24 hours Techniques recall method used was 5-Step Multiple-Pass Method Repeated Recall 1x24 hr/ Sub-sample nonconsequtive days 10%

2. Body weight Measurement 3. Social economy Interview 4. Food processing & cooking Interview

1. Questionaire (Households and Individu) 2. Anthropometry digital weight scales 3. Manual for conducting FCS 2014 4. Manual to fill out FCS Questionnaire 5. Manual code dish FCS 2014 6. Manual code raw food FCS 2014 7. Manual conversion cooked to raw weight 8. Recipe fast food and snacks 9. Manual estimation the amount of salt and oil absorption 10.Photo album of type of food consumed in FCS 2014. 11.Manual management data FCS 2014 12.Manual organizing and management FCS 2014

The instruments and manual used in data collection

Quality Assurance (QA) and Quality Control (QC) • QA: Training tim,test questioner and manual etc • QC: supervision

Data Management and Data Analysis •Data management: editing, entry, merging, cleaning and imputation data •Data analysis: vFood grouped into 17 groups (Asean grouping) vAge groups : children 0-59 mo, 5-12 yr, adolescent 13-18 yr, adults19-55 yr, ederly > 55 yr vFood consumed analysis using Food Composition Data-borrowing data vData energy, protein, CHO, fat and natrium presented in mean and proportion. Determination of energy and protein adequacy using Indonesia RDA

Tabel 1. Food Group FCS, Indonesia 2014 1 Cereals and cereal product 2 Starchy roots and tubers and product 3 Legumen, nut and seed 4 Vegetable and produts 5 Fruits and product 6 Meat, poultry and product and other animal 7 Offal and product 8 Fish and shellfish, and other aquatic animal 9 Egg and product 10 Milk and milk product 11 Fat and oil 12 Sugar, Syrup, and confectionery 13 Condiment and spices 14 Beverage 15 Fast food 16 Fluid 17 Miscellaneous

Page 11: Symposium of Dietary Intakes - Indonesia - April 2016

In each CB there were 25 chosen house hold. All members in each HH were interviewed and measured the body weight.

Data collected and method data collection: 1. Food consumed (food, beverage, condiment)

Recall method 1x24 hours Techniques recall method used was 5-Step Multiple-Pass Method Repeated Recall 1x24 hr/ Sub-sample nonconsequtive days 10%

2. Body weight Measurement 3. Social economy Interview 4. Food processing & cooking Interview

1. Questionaire (Households and Individu) 2. Anthropometry digital weight scales 3. Manual for conducting FCS 2014 4. Manual to fill out FCS Questionnaire 5. Manual code dish FCS 2014 6. Manual code raw food FCS 2014 7. Manual conversion cooked to raw weight 8. Recipe fast food and snacks 9. Manual estimation the amount of salt and oil absorption 10.Photo album of type of food consumed in FCS 2014. 11.Manual management data FCS 2014 12.Manual organizing and management FCS 2014

The instruments and manual used in data collection

Quality Assurance (QA) and Quality Control (QC) • QA: Training tim,test questioner and manual etc • QC: supervision

Data Management and Data Analysis •Data management: editing, entry, merging, cleaning and imputation data •Data analysis: vFood grouped into 17 groups (Asean grouping) vAge groups : children 0-59 mo, 5-12 yr, adolescent 13-18 yr, adults19-55 yr, ederly > 55 yr vFood consumed analysis using Food Composition Data-borrowing data vData energy, protein, CHO, fat and natrium presented in mean and proportion. Determination of energy and protein adequacy using Indonesia RDA

Tabel 1. Food Group FCS, Indonesia 2014 1 Cereals and cereal product 2 Starchy roots and tubers and product 3 Legumen, nut and seed 4 Vegetable and produts 5 Fruits and product 6 Meat, poultry and product and other animal 7 Offal and product 8 Fish and shellfish, and other aquatic animal 9 Egg and product 10 Milk and milk product 11 Fat and oil 12 Sugar, Syrup, and confectionery 13 Condiment and spices 14 Beverage 15 Fast food 16 Fluid 17 Miscellaneous

Page 12: Symposium of Dietary Intakes - Indonesia - April 2016

In each CB there were 25 chosen house hold. All members in each HH were interviewed and measured the body weight.

Data collected and method data collection: 1. Food consumed (food, beverage, condiment)

Recall method 1x24 hours Techniques recall method used was 5-Step Multiple-Pass Method Repeated Recall 1x24 hr/ Sub-sample nonconsequtive days 10%

2. Body weight Measurement 3. Social economy Interview 4. Food processing & cooking Interview

1. Questionaire (Households and Individu) 2. Anthropometry digital weight scales 3. Manual for conducting FCS 2014 4. Manual to fill out FCS Questionnaire 5. Manual code dish FCS 2014 6. Manual code raw food FCS 2014 7. Manual conversion cooked to raw weight 8. Recipe fast food and snacks 9. Manual estimation the amount of salt and oil absorption 10.Photo album of type of food consumed in FCS 2014. 11.Manual management data FCS 2014 12.Manual organizing and management FCS 2014

The instruments and manual used in data collection

Quality Assurance (QA) and Quality Control (QC) • QA: Training tim,test questioner and manual etc • QC: supervision

Data Management and Data Analysis •Data management: editing, entry, merging, cleaning and imputation data •Data analysis: vFood grouped into 17 groups (Asean grouping) vAge groups : children 0-59 mo, 5-12 yr, adolescent 13-18 yr, adults19-55 yr, ederly > 55 yr vFood consumed analysis using Food Composition Data-borrowing data vData energy, protein, CHO, fat and natrium presented in mean and proportion. Determination of energy and protein adequacy using Indonesia RDA

Tabel 1. Food Group FCS, Indonesia 2014 1 Cereals and cereal product 2 Starchy roots and tubers and product 3 Legumen, nut and seed 4 Vegetable and produts 5 Fruits and product 6 Meat, poultry and product and other animal 7 Offal and product 8 Fish and shellfish, and other aquatic animal 9 Egg and product 10 Milk and milk product 11 Fat and oil 12 Sugar, Syrup, and confectionery 13 Condiment and spices 14 Beverage 15 Fast food 16 Fluid 17 Miscellaneous

Page 13: Symposium of Dietary Intakes - Indonesia - April 2016

Age group Male Female Total

n % n % n % 0 – 59 mo 3.140 51,5 2.953 48,5 6.093 100 5 – 12 yr 7.674 51,6 7.197 48,4 14.871 100

13 – 18 yr 8.830 51,3 8.398 48,7 17.228 100 19 – 55 yr 44.495 50,2 44.140 49,8 88.635 100

> 55 yr 8.873 47,9 9.660 52,1 18.533 100

INDONESIA 73.011 50,2 72.348 49,8 145.360 100

Table 2 Sample distribution based on age FCS,

Indonesia 2014

0-59 mo: 6.093 consist of 704 (<6mo); 528 (6-11 mo); 2205 (12-35 mo); 2656 (36-59 mo) Pregnant women: 644

Food Consumption/Day/Capita Based on Food Group

RESULT

Fig 5. The average of food group consumed FCS,

Indonesia 2014

Fig 6. Average consumption of serealia based on type of foodstuff

FCS, Indonesia 2014

g/ca

p/d

Page 14: Symposium of Dietary Intakes - Indonesia - April 2016

Age group Male Female Total

n % n % n % 0 – 59 mo 3.140 51,5 2.953 48,5 6.093 100 5 – 12 yr 7.674 51,6 7.197 48,4 14.871 100

13 – 18 yr 8.830 51,3 8.398 48,7 17.228 100 19 – 55 yr 44.495 50,2 44.140 49,8 88.635 100

> 55 yr 8.873 47,9 9.660 52,1 18.533 100

INDONESIA 73.011 50,2 72.348 49,8 145.360 100

Table 2 Sample distribution based on age FCS,

Indonesia 2014

0-59 mo: 6.093 consist of 704 (<6mo); 528 (6-11 mo); 2205 (12-35 mo); 2656 (36-59 mo) Pregnant women: 644

Food Consumption/Day/Capita Based on Food Group

RESULT

Fig 5. The average of food group consumed FCS,

Indonesia 2014

Fig 6. Average consumption of serealia based on type of foodstuff

FCS, Indonesia 2014

g/ca

p/d

Page 15: Symposium of Dietary Intakes - Indonesia - April 2016

Age group Male Female Total

n % n % n % 0 – 59 mo 3.140 51,5 2.953 48,5 6.093 100 5 – 12 yr 7.674 51,6 7.197 48,4 14.871 100

13 – 18 yr 8.830 51,3 8.398 48,7 17.228 100 19 – 55 yr 44.495 50,2 44.140 49,8 88.635 100

> 55 yr 8.873 47,9 9.660 52,1 18.533 100

INDONESIA 73.011 50,2 72.348 49,8 145.360 100

Table 2 Sample distribution based on age FCS,

Indonesia 2014

0-59 mo: 6.093 consist of 704 (<6mo); 528 (6-11 mo); 2205 (12-35 mo); 2656 (36-59 mo) Pregnant women: 644

Food Consumption/Day/Capita Based on Food Group

RESULT

Fig 5. The average of food group consumed FCS,

Indonesia 2014

Fig 6. Average consumption of serealia based on type of foodstuff

FCS, Indonesia 2014

g/ca

p/d

Page 16: Symposium of Dietary Intakes - Indonesia - April 2016

Age group Male Female Total

n % n % n % 0 – 59 mo 3.140 51,5 2.953 48,5 6.093 100 5 – 12 yr 7.674 51,6 7.197 48,4 14.871 100

13 – 18 yr 8.830 51,3 8.398 48,7 17.228 100 19 – 55 yr 44.495 50,2 44.140 49,8 88.635 100

> 55 yr 8.873 47,9 9.660 52,1 18.533 100

INDONESIA 73.011 50,2 72.348 49,8 145.360 100

Table 2 Sample distribution based on age FCS,

Indonesia 2014

0-59 mo: 6.093 consist of 704 (<6mo); 528 (6-11 mo); 2205 (12-35 mo); 2656 (36-59 mo) Pregnant women: 644

Food Consumption/Day/Capita Based on Food Group

RESULT

Fig 5. The average of food group consumed FCS,

Indonesia 2014

Fig 6. Average consumption of serealia based on type of foodstuff

FCS, Indonesia 2014

g/ca

p/d

Page 17: Symposium of Dietary Intakes - Indonesia - April 2016

1. Energy and Protein Intake and Adequacy 2. Carbohydrate and Fat Intake

RESULT Fig 7. Population Proportion based on energy adequacy and age group,

FCS Indonesia 2014

%

Fig 8. Population proportion based on protein adequacy and

age group FCS, Indonesia 2014 Age group

Energy Protein Intake (kcal) Adequacy (%) Intake (g) Adequacy (%)

0-59 mo 1.137 101 36,8 134,5 5-12 yr 1.636 86,5 57,3 115,9

13-18 yr 1.697 72,3 59,8 89,5 19-55 yr 1.752 73,8 65,0 107,2 >55 yr 1.497 78 55,9 93,0 All age group

1.675 76 61,2 105,3

Table 3. Mean intake and adequacy of energy dan protein

based on age group FCS, Indonesia 2014

Page 18: Symposium of Dietary Intakes - Indonesia - April 2016

1. Energy and Protein Intake and Adequacy 2. Carbohydrate and Fat Intake

RESULT Fig 7. Population Proportion based on energy adequacy and age group,

FCS Indonesia 2014

%

Fig 8. Population proportion based on protein adequacy and

age group FCS, Indonesia 2014 Age group

Energy Protein Intake (kcal) Adequacy (%) Intake (g) Adequacy (%)

0-59 mo 1.137 101 36,8 134,5 5-12 yr 1.636 86,5 57,3 115,9

13-18 yr 1.697 72,3 59,8 89,5 19-55 yr 1.752 73,8 65,0 107,2 >55 yr 1.497 78 55,9 93,0 All age group

1.675 76 61,2 105,3

Table 3. Mean intake and adequacy of energy dan protein

based on age group FCS, Indonesia 2014

Page 19: Symposium of Dietary Intakes - Indonesia - April 2016

1. Energy and Protein Intake and Adequacy 2. Carbohydrate and Fat Intake

RESULT Fig 7. Population Proportion based on energy adequacy and age group,

FCS Indonesia 2014

%

Fig 8. Population proportion based on protein adequacy and

age group FCS, Indonesia 2014 Age group

Energy Protein Intake (kcal) Adequacy (%) Intake (g) Adequacy (%)

0-59 mo 1.137 101 36,8 134,5 5-12 yr 1.636 86,5 57,3 115,9

13-18 yr 1.697 72,3 59,8 89,5 19-55 yr 1.752 73,8 65,0 107,2 >55 yr 1.497 78 55,9 93,0 All age group

1.675 76 61,2 105,3

Table 3. Mean intake and adequacy of energy dan protein

based on age group FCS, Indonesia 2014

Page 20: Symposium of Dietary Intakes - Indonesia - April 2016

1. Energy and Protein Intake and Adequacy 2. Carbohydrate and Fat Intake

RESULT Fig 7. Population Proportion based on energy adequacy and age group,

FCS Indonesia 2014

%

Fig 8. Population proportion based on protein adequacy and

age group FCS, Indonesia 2014 Age group

Energy Protein Intake (kcal) Adequacy (%) Intake (g) Adequacy (%)

0-59 mo 1.137 101 36,8 134,5 5-12 yr 1.636 86,5 57,3 115,9

13-18 yr 1.697 72,3 59,8 89,5 19-55 yr 1.752 73,8 65,0 107,2 >55 yr 1.497 78 55,9 93,0 All age group

1.675 76 61,2 105,3

Table 3. Mean intake and adequacy of energy dan protein

based on age group FCS, Indonesia 2014

Page 21: Symposium of Dietary Intakes - Indonesia - April 2016

Fig 9. Proportion energy adequacy of pregnant women based on residency FCS, Indonesia 2014

Fig 10. Proportion protein adequacy of pregnant women based on residency FCS, Indonesia 2014

%

%

Age group

Carbohydrate (g)

Fat (g)

Protein (g)

0-59 mo 148,0 41,9 36,8 5-12 yr 230,3 56,8 57,3

13-18 yr 244,2 56,7 59,8 19-55 yr 256,8 54,4 65,0 >55 yr 225,2 43,4 55,9 All age group

243,9 52,9 61,2

Table 4. Mean carbohydrate, fat and protein intake based on age group FCS, Indonesia 2014

Fig 11. Proportion of CHO, fat and

protein of total energy intake FCS, Indonesia 2014

Salt, Natrium, Sugar and Fat consumption Health Ministerial Decree No 30 Year 2013

(Permenkes No 30 Year 2013)

RESULT

Age group Sugar >50g Natrium >2000mg Fat >67g 0-59 mo 1,3 24,6 11,7 5-12 yr 1,6 55,2 30,3

13-18 yr 2,0 55,7 30,3 19-55 yr 5,7 54,8 28,1 >55 yr 6,8 47,2 17,1 All age group

4,8 52,7 26,5

Table 5. Proportion population consumed sugar>50g, natrium >2000mg

and fat >67g based on age group FCS, Indonesia 2014

Page 22: Symposium of Dietary Intakes - Indonesia - April 2016

Fig 9. Proportion energy adequacy of pregnant women based on residency FCS, Indonesia 2014

Fig 10. Proportion protein adequacy of pregnant women based on residency FCS, Indonesia 2014

%

%

Age group

Carbohydrate (g)

Fat (g)

Protein (g)

0-59 mo 148,0 41,9 36,8 5-12 yr 230,3 56,8 57,3

13-18 yr 244,2 56,7 59,8 19-55 yr 256,8 54,4 65,0 >55 yr 225,2 43,4 55,9 All age group

243,9 52,9 61,2

Table 4. Mean carbohydrate, fat and protein intake based on age group FCS, Indonesia 2014

Fig 11. Proportion of CHO, fat and

protein of total energy intake FCS, Indonesia 2014

Salt, Natrium, Sugar and Fat consumption Health Ministerial Decree No 30 Year 2013

(Permenkes No 30 Year 2013)

RESULT

Age group Sugar >50g Natrium >2000mg Fat >67g 0-59 mo 1,3 24,6 11,7 5-12 yr 1,6 55,2 30,3

13-18 yr 2,0 55,7 30,3 19-55 yr 5,7 54,8 28,1 >55 yr 6,8 47,2 17,1 All age group

4,8 52,7 26,5

Table 5. Proportion population consumed sugar>50g, natrium >2000mg

and fat >67g based on age group FCS, Indonesia 2014

Page 23: Symposium of Dietary Intakes - Indonesia - April 2016

Fig 9. Proportion energy adequacy of pregnant women based on residency FCS, Indonesia 2014

Fig 10. Proportion protein adequacy of pregnant women based on residency FCS, Indonesia 2014

%

%

Age group

Carbohydrate (g)

Fat (g)

Protein (g)

0-59 mo 148,0 41,9 36,8 5-12 yr 230,3 56,8 57,3

13-18 yr 244,2 56,7 59,8 19-55 yr 256,8 54,4 65,0 >55 yr 225,2 43,4 55,9 All age group

243,9 52,9 61,2

Table 4. Mean carbohydrate, fat and protein intake based on age group FCS, Indonesia 2014

Fig 11. Proportion of CHO, fat and

protein of total energy intake FCS, Indonesia 2014

Salt, Natrium, Sugar and Fat consumption Health Ministerial Decree No 30 Year 2013

(Permenkes No 30 Year 2013)

RESULT

Age group Sugar >50g Natrium >2000mg Fat >67g 0-59 mo 1,3 24,6 11,7 5-12 yr 1,6 55,2 30,3

13-18 yr 2,0 55,7 30,3 19-55 yr 5,7 54,8 28,1 >55 yr 6,8 47,2 17,1 All age group

4,8 52,7 26,5

Table 5. Proportion population consumed sugar>50g, natrium >2000mg

and fat >67g based on age group FCS, Indonesia 2014

Page 24: Symposium of Dietary Intakes - Indonesia - April 2016

Fig 9. Proportion energy adequacy of pregnant women based on residency FCS, Indonesia 2014

Fig 10. Proportion protein adequacy of pregnant women based on residency FCS, Indonesia 2014

%

%

Age group

Carbohydrate (g)

Fat (g)

Protein (g)

0-59 mo 148,0 41,9 36,8 5-12 yr 230,3 56,8 57,3

13-18 yr 244,2 56,7 59,8 19-55 yr 256,8 54,4 65,0 >55 yr 225,2 43,4 55,9 All age group

243,9 52,9 61,2

Table 4. Mean carbohydrate, fat and protein intake based on age group FCS, Indonesia 2014

Fig 11. Proportion of CHO, fat and

protein of total energy intake FCS, Indonesia 2014

Salt, Natrium, Sugar and Fat consumption Health Ministerial Decree No 30 Year 2013

(Permenkes No 30 Year 2013)

RESULT

Age group Sugar >50g Natrium >2000mg Fat >67g 0-59 mo 1,3 24,6 11,7 5-12 yr 1,6 55,2 30,3

13-18 yr 2,0 55,7 30,3 19-55 yr 5,7 54,8 28,1 >55 yr 6,8 47,2 17,1 All age group

4,8 52,7 26,5

Table 5. Proportion population consumed sugar>50g, natrium >2000mg

and fat >67g based on age group FCS, Indonesia 2014

Page 25: Symposium of Dietary Intakes - Indonesia - April 2016

Fig 12. Total consumption of natrium from food and salt FCS,

Indonesia 2014

1473

mg

CONCLUSION 1. The main energy source was from cereals. The highest

consumption cereal came from rice, followed by wheat, noodles etc

2. Consumption exceeds the limit recommended by The Ministery of Health Decree Year 2013 were sugar (4.8%), fat (26,5%) and sodium (52,7 %).

3. Energy intake <70% RDA were found in each group namely 0-59 mo (6.8%), 5-12 yr (29.7%), 13-18 yr (52.5%), 19-55 yr (50%), and>55 yr (44.6%), and pregnant women were about 50 percent

4. Protein intake <80% RDA in each group were 0-59 mo (23.6%), 5-12 yr (29.3%), 13- 18 yr (48.1%), 19-55 yr (33.8%), and> = 55 yr (45.8%), while in pregnant women were approximately 50 percent

Page 26: Symposium of Dietary Intakes - Indonesia - April 2016

Fig 12. Total consumption of natrium from food and salt FCS,

Indonesia 2014

1473

mg

CONCLUSION 1. The main energy source was from cereals. The highest

consumption cereal came from rice, followed by wheat, noodles etc

2. Consumption exceeds the limit recommended by The Ministery of Health Decree Year 2013 were sugar (4.8%), fat (26,5%) and sodium (52,7 %).

3. Energy intake <70% RDA were found in each group namely 0-59 mo (6.8%), 5-12 yr (29.7%), 13-18 yr (52.5%), 19-55 yr (50%), and>55 yr (44.6%), and pregnant women were about 50 percent

4. Protein intake <80% RDA in each group were 0-59 mo (23.6%), 5-12 yr (29.3%), 13- 18 yr (48.1%), 19-55 yr (33.8%), and> = 55 yr (45.8%), while in pregnant women were approximately 50 percent

Page 27: Symposium of Dietary Intakes - Indonesia - April 2016

Fig 12. Total consumption of natrium from food and salt FCS,

Indonesia 2014

1473

mg

CONCLUSION 1. The main energy source was from cereals. The highest

consumption cereal came from rice, followed by wheat, noodles etc

2. Consumption exceeds the limit recommended by The Ministery of Health Decree Year 2013 were sugar (4.8%), fat (26,5%) and sodium (52,7 %).

3. Energy intake <70% RDA were found in each group namely 0-59 mo (6.8%), 5-12 yr (29.7%), 13-18 yr (52.5%), 19-55 yr (50%), and>55 yr (44.6%), and pregnant women were about 50 percent

4. Protein intake <80% RDA in each group were 0-59 mo (23.6%), 5-12 yr (29.3%), 13- 18 yr (48.1%), 19-55 yr (33.8%), and> = 55 yr (45.8%), while in pregnant women were approximately 50 percent

Page 28: Symposium of Dietary Intakes - Indonesia - April 2016

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