OUTLI LINE NE Background Objectives Output Methods Results - - PDF document

outli line ne
SMART_READER_LITE
LIVE PREVIEW

OUTLI LINE NE Background Objectives Output Methods Results - - PDF document

1/22/2013 Study on Nutritional Status and Food Pattern of Pre-Pregnant, Pregnant and Lactating Mothers in Bogor, West Java Siti Madanijah, Dodik Briawan, Rimbawan, Zulaikhah, Nuri Andarwulan, Lilis Nuraida & Jacques Bindels Southeast Asian


slide-1
SLIDE 1

1/22/2013 1

Study on Nutritional Status and Food Pattern

  • f Pre-Pregnant, Pregnant and Lactating

Mothers in Bogor, West Java

Southeast Asian Food & Agricultural Science & Technology (SEAFAST) Center, Bogor Agricultural University PB)

Siti Madanijah, Dodik Briawan, Rimbawan, Zulaikhah, Nuri Andarwulan, Lilis Nuraida & Jacques Bindels

OUTLI LINE NE

 Background  Objectives  Output  Methods  Results  Conclusion

slide-2
SLIDE 2

1/22/2013 2

BACKGROUND

DOUBLE BURDEN NUTRITION PROBLEMS Source : Harian Kompas, 2006

The malnutrition problems in Indonesia occur at the every stage of the life cycle

slide-3
SLIDE 3

1/22/2013 3

BACKGROUND BACKGROUND

slide-4
SLIDE 4

1/22/2013 4

OBJECTIVES

To obtain data on nutritional status in the pre-pregnant (at child-bearing age), pregnant and lactating mothers;

To obtain data on food pattern in the pre-pregnant (at child-bearing age), pregnant and lactating mothers

To define recommendation of additional nutrients required by pre-pregnant (at child-bearing age), pregnant and lactating mothers

OUTPUTS

Information on the prevalence and the severity of nutritional status in pre-pregnant (at child-bearing age), pregnant and lactating mothers

Information on food preferences and food pattern including snack foods in pre-pregnant (at child-bearing age), pregnant and lactating mothers

Recommendations of additional nutrients required by pre-pregnant (at child-bearing age), pregnant and lactating mothers

slide-5
SLIDE 5

1/22/2013 5

METHODS

 Location : Bogor area  3 groups:

  • pre pregnant (at child-

bearing age) women

  • pregnant women
  • lactating mother

 Number of respondent :

200/group; total 600

 Criteria of subject:

  • at quintile 2, 3 and 4

based on HH expenditure;

 Methods of data collection

  • SURVEY

 2x24 hours Food Recall  FFQ

  • BLOOD ANALYSIS

Interview using Questionnaire STOP

Design for Selection of respondents

Interview using screening form

1st screening : meet the inclusion criteria for each group

Respondent candidate (1) Stop 2nd screening : meet 2nd, 3rd and 4th Quintile

Population

Q BOGOR CITY **) (Rp/cap/month) Range Mean Q 5 622,421 - 6,676,869 1,158,923 Q 4 432,210 – 618,983 517,468 Q 3 332,781 – 430,137 378,730 Q 2 253,875 – 330,787 295,701 Q 1 127,869 – 247,698 213,570

** SUSENAS 2009 No Yes

Respondent candidate (2)

Yes No

Blood Analysis

slide-6
SLIDE 6

1/22/2013 6

Inclusion Criteria for each group

Inclusion criteria for pre-pregnant women (child-bearing age) :

  • healthy
  • married (age 20-40 years)
  • preparing for pregnancy

Inclusion criteria for pregnant women:

  • healthy
  • age : 20-40 years
  • at second trimester of pregnancy

(>3-6 mo) Inclusion criteria for lactating mother:

  • healthy
  • age : 20-40 years
  • breastfeeding (age of their babies 50-

180 days)

Respondent of the study

Quintile Group Total Pre-pregnant women Pregnant women Lactating mothers Q2 66 68 69 204 Q3 65 67 72 204 Q4 69 68 79 216 Total 200 203 220 623

slide-7
SLIDE 7

1/22/2013 7

Sub samples for Blood Analysis

Group/ Quintile Pre- pregnant Pregnant Lactating Total Q2 15 15 15 45 Q3 15 15 15 45 Q4 15 15 15 45 Total 45 45 45 135 Data Analysis Food Consumption

 The Indonesian Food Composition Table (2007 and 2008), ASEAN Food Composition

Table (2000), Nutrisurvey, The Composition of Foods, Wfood Composition (FAO) were used to calculate the nutrients intake.

 The nutrients adequacy was assessed by comparing the actual nutrients intake with the

Indonesian RDA’s (ID-RDA) / Angka Kecukupan Gizi (WKNPG, 2004)

Nutrients CBA (=PP) Pregnant Lactating Energy (kcal/day) 1800-1900 2100-2200 2350-2450 Protein (g/day) 50 67 67 Iron (mg/day) 26 35 32 Calcium (mg/day) 800 950 950 Vitamin A (RE/day) 500 800 800 Vitamin C (mg/day) 75 85 100 Folate (µg/day) 400 600 500 Zinc (mg/day) 9.3-9.8 13.5-14.0 13.9-14.4

slide-8
SLIDE 8

1/22/2013 8

Data Analysis for Food Consumption

 Cut-off point for nutrients intake Nutrients Category and cut off Source Energy and protein intake Clear deficit (<70% RDA) Moderate-mild deficit (70-90% RDA Sufficient (>90% RDA) Ministry of Health, RI (1996) Vitamin and mineral intake (Fe, Ca, Vitamin A, Vitamin C, Folate, Zinc) Estimated Average Requirement: 77% RDA Deficient (< 77% RDA) Sufficient (≥77% RDA) Gibson (2005)

No Analysis Pre- pregnant Pregnant Lactating Method 1. Hb v v v Peroxidation/Colorimetry 2. Ferritin serum v v v Chemiluminescent Immunoassay (CMIA) 3. Zn v v v AAS 4. Se v v v AAS 5 Vitamin A v v v HPLC 6 Folic acid v

  • Chemiluminescent

Immunoassay (CMIA)

Blood samples : +15 ml/respondent (135 respondent, 45 respondent/group)

Types of Blood Sample Analysis

slide-9
SLIDE 9

1/22/2013 9

Data Analysis for Blood Biomarker

Blood biomarker Category and cut-off Hemoglobin

  • Pre-pregnant women and lactating mothers
  • Pregnant women

Deficiency (< 12 g/dL) Deficiency (< 11 g/dL) Ferritin

  • Pre-pregnant women and lactating mothers
  • Pregnant women

Deficiency (<15 µg/L) Deficiency (<12 µg/L) Folate (pre-pregnant women) Deficiency (<6.7 ng/ml) Selenium Deficiency (< 0.75 µmol/L) Zinc Deficiency (<65 µmol/L) Vitamin A (All group) Deficiency (<20 µg/dL)  Cut-off point for blood biomarker

RESUL SULTS TS

slide-10
SLIDE 10

1/22/2013 10

Nutritional Status

Nutrition status CBA / PP (n=200) Lactating (n=220) Underweight (< 18.5) 28 (14%) 20 (9.1%) Normal (18.5 – 24.9) 110 (55%) 113 (51.4%) Overweight (25.0 – 29.9) 45 (22.5%) 69 (31.4%) Obese (≥ 30.0) 17 (8.5%) 16 (8.2%) Mean ± SD 23.2 ± 4.7 22.5 ± 3.2

  • A. BMI based
  • B. MUAC based

Nutrition status CBA /PP (n=200) Pregnant (n=203) Lactating (n=220) CEM (< 23.5 cm) 25 (12.5%) 38 (18.7%) 32 (14.5%) Normal (≥ 23.5 cm) 175 (87.5) 165 (81.3%) 188 (85.5%) Mean ± SD 27.4 ± 3.8 26.1 ± 3.7 26.7 ± 3.3

Food Consumption (g/cap/day)

No Food Category CBA / PP Pregnant Lactating 1 Cereals and cereal products 511.1 495 567.0 2 Meat and meat products 7.8 5 6.7 3 Poultry and poultry products 37.3 30 34.4 4 Fish and fish products 23 23 23.4 5 Egg and egg products 20.1 21 30.1 6 Milk and dairy products 64.6 182 56.2 7 Legume and legume products 67.7 82 100.0 8 Vegetables and veg. products 138.8 160 234.3 9 Fruit and fruit products 29.1 59 26.8 10 Beverages 1133.7 1197 1292.3 11 Snack foods 75.6 101 88.5 TOTAL 2108.7 2352.4 2459.6

slide-11
SLIDE 11

1/22/2013 11

10 20 30 40 50 60 70

pre pregn pregnancy lactation Protein

Energy intake was below Indonesia RDA’s (77.6 %, 76.2% and 73.9%, respectively) Protein intake was below Indonesia RDA (93.2%, 72.1% and 86%, respectively)

Energy intake (kcal/day) Protein intake (g/day)

Energy gy and prot

  • tein

in intake e during pre-pregn egnancy pregn gnan ancy and lactation ion

(ID-RDA: 50, 67 , 67 g/d)

Energy gy and prot

  • tein

in intake e during pregnan ancy y according ding to SEL

10 20 30 40 50 60 70

Q2 Q3 Q4 Protein

Energy and protein intake of total group were below Indonesia RDA’s (75.7% and 72.1%, respectively)

“wealth quintiles” “wealth quintiles” Energy intake (kcal/day) Protein intake (g/day) (ID-RDA (AKG): 2100-2200 kcal/d) (ID-RDA (AKG): 67 g/d)

slide-12
SLIDE 12

1/22/2013 12

Protein Quality

10 20 30 40 50 60 70 quintile 2 quintile 3 quintile 4

milk+dairy egg fish meat+poultry vegetable

Intake of animal protein sources and vegetable protein Next to the low absolute protein intake in Q2, the poor protein quality (only 31.3% animal protein) increases the level of concern ! Protein intake (g/day)

Average erage %ID-RD RDA A and percen entag tage e of nutrient ient defic icienci iencies es

Nutrients CBA / PP Pregnant Lactating %ID-RDA % def %ID-RDA % def %ID-RDA % def Energy 77.4 45.0 75.7 39.7 73.8 45.9 Protein 93.3 27.0 72.1 57.6 86.4 34.1 Iron 94.7 63.0 59.7 84.7 94.5 68.2 Calcium 69.7 68.0 79.8 55.7 75.5 60.5 Vitamin A 89.1 62.5 72.1 66.5 73.2 65.9 Vitamin C 37.1 88.0 45.5 84.7 49.5 76.8 Folate 40.7 90.0 33.8 98.0 45.5 90.9 Zinc 127.6 30.0 89.6 53.7 91.8 50.0

slide-13
SLIDE 13

1/22/2013 13

Percentage of macronutrient deficiencies

(cut off: 70% of ID-RDA, 2004)

10 20 30 40 50 60 Energy Protein 45,0 27,0 39,7 57,6 45,9 34,1 CBA Pregnant Lactating

Percentage of individual vitamin and mineral deficiencies

(cut off: 77% of ID-RDA, 2004 (~EAR)

10 20 30 40 50 60 70 80 90 100

Iron Calcium Vit amin A Vitamin C Folate Zinc

63,0 68,0 62,5 88,0 90,0 30,0 84,7 55,7 66,5 84,7 98,0 53,7 68,2 60,5 65,9 76,8 90,9 50

CBA Pregnant Lactating

slide-14
SLIDE 14

1/22/2013 14

Percentage of multiple micronutrient deficiencies

Deficiency CBA / PP (n=200) Pregnant (n=203) Lactating (n=220) n (%) n (%) n (%) 5 micronutrients 34 (17) 62 (30.5) 50 (22.7) 4 micronutrients 66 (33) 77 (37.9) 72 (32.7) 3 micronutrients 64 (32) 46 (22.6) 58 (26.4) 2 micronutrients 30 (15) 13 (6.4) 25 (11.4) 1 micronutrient 5 (2.5) 5 (2.5) 12 (5.5) TOTAL 199 (99.5) 203 (100) 217 (98.6)

Micronutrients include Iron, Vitamin A, Vitamin C, Folate, Zinc Deficiencies can be derived from any combinations of those five micronutrients

None of pregnant women has sufficient intake of micronutrients

Percentage of multiple micronutrient deficiency in combination with protein deficiency

Deficiency CBA / PP (n=200) Pregnant (n=203) Lactating (n=220) n (%) n (%) n (%) 5 micronutrients 19 (9.5) 48 (23.7) 30 (13.6) 4 micronutrients 24 (12) 50 (24.6) 33 (15) 3 micronutrients 9 (4.5) 17 (8.4) 10 (4.6) 2 micronutrients 2 (1) 1 (0.5) 2 (0.9) 1 micronutrient

  • 1 (0.5)
  • TOTAL

54 (27) 117 (57.6) 75 (34.1) 57.6% of pregnant women who are deficient in protein also deficient in at least one micronutrient

slide-15
SLIDE 15

1/22/2013 15

Food taboos (prohibition against consuming certain foods ) in pre-pregnant, pregnant, and lactating mothers

CBA / PP No Type of food % 1 Sour food 6.0 2 Spicy food 6.0 3 Shrimp 5.5 4 Instant noodle 4.5 5 Salted fish 3.5 6 Pineapple 2.5 7 Tuna fish 2.5 8 Water spinach 2.5 9 Offal 2.5 10 Cucumber 2.0 Pregnant No Type of food % 1 Pineapple 18.2 2 Tape (fermented cassava) 9.4 3 Durian 9.4 4 Salak 6.9 5 Spicy food 4.4 6 Softdrink 3.9 7 Sticky rice 3.4 8 Jengkol/petai” 3.0 9 Sour food 2.5 10 Shrimp 2.5 Lactating No Type of food % 1 Taro 10.0 2 Spicy food 10.0 3 Banana 6.8 4 Sour food 6.4 5 Shrimp 6.4 6 Salted fish 4.5 7 Fish 4.5 8 Offal 4.1 9 Pumpkin, squash 3.6 10 Kangkong leaves 3.6 Reason Scare of suffering from: 1. Allergy (8%) 2. Gastritis (7.5%) 3. Hypertension (4.5%) 4. Womb’s health (3%) 5. Leucorrhea (1.5%) Reason: Scare of suffering from 1. Abortion (8.4%) 2. Heartburn sensation (3.4%) 3. Gastritis (1.5%) 4. Hypertension (1.0%) Reason: Scare of suffering from 1. Baby’s health (9.5%) 2. Allergy (7.7%) 3. Parental believe (6.4%) 4. Disease (5.0%) 5. Fishy odor breast milk (4.5%)

Micronutrients status determined by blood analysis in a sub-sample (n= 3 x 45) of the population

Biomarker CBA / PP Pregnant Lactating Mean±SD % def Mean±SD % def Mean±SD % def Haemoglobin (g/dL) 13.2±1.2 11.1 11.6±0.9 22.2 12.7±1.2 17.8 Ferritin (µg/L) 65.2±50.4 23.08 31.8±36.2 41.2 44.8±49.4 27.9 Vitamin A (µg/dL) 49.8±21.8 6.7 41.1±20.1 13.3 56.7±28.8 11.1 Selenium (µmol/L) 1.5±0.6 4.4 1.4 ±0.5 8.9 1.1±0.7 28.9 Zinc (µmol/L) 74.2±21.0 42.2 62.3 ±21.7 55.6 84.7±38.7 24.4 Folate (ng/mL) 17.6 ±5.2 ND

  • ND
  • Folate Intake (PP)

% RDA : 40.7

slide-16
SLIDE 16

1/22/2013 16

Percentage of respondents who are deficient in blood biomarker

10 20 30 40 50 60 Haemoglobin Ferritin Vitamin A Selenium Zinc 11,1 23,08 6,7 4,4 42,2 22,2 41,2 13,3 8,9 55,6 17,8 27,9 11,1 28,9 24,4

CBA Pregnant Lactating

Prevalence of pregnant mother is the highest among other groups in anemia, ferritin deficiency, VAD, and zinc deficiency Criteria of Deficiency Group % Deficient

Source of Infornmation

Anemia Pregnant women 40-50 22.2 (Hb) 41.2 (Ferritin) MOH, 2008 Madanijah et. al, 2011 Madanijah et. al, 2011 CBA women 26.9 19.7 11.1 (Hb) 23.8 (Ferritin) MOH,2005 MOH, 2008 (15-45yrs) Madanijah et. al, 2011 Madanijah et. al, 2011 CED Pregnant women National West Java West Java 26.1 19.3 18.7 Sanjaya, 2009 Sanjaya, 2009 Madanijah et. al, 2011 Vitamin A Pregnant women 33.6 13.3 Suharno, 1992 Madanijah et. al, 2011

slide-17
SLIDE 17

1/22/2013 17

CONCLUSIONS