Yekti Widodo
Puslitbang Gizi dan Makanan, Badan Litbang Kesehatan, Kemenkes RI

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KONTRIBUSI ENERGI, PROTEIN, LEMAK, KARBOHIDRAT DAN SERAT MENURUT KELOMPOK BAHAN MAKANAN YANG DIKONSUMSI PADA RUMAHTANGGA YANG MEMILIKI ANGGOTA RUMAH TANGGA OBESITA Sri Muljati; Agus Triwinarto; Heryudarini H.; Yekti Widodo; Salimar Salimar
Penelitian Gizi dan Makanan (The Journal of Nutrition and Food Research) Vol. 33 No. 1 (2010)
Publisher : Persagi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22435/pgm.v33i1.1357.

Abstract

Background: Nowadays, obesity is not only happen in developed country, but also in developing country, mainly in the city areas. Monica's study shows that obesity prevalention increase in the world at a rate that is worrysome both in a developed country and in the developing country. RISKESDAS 2007 result shows that lndonesias obesity prevalentior, is 10.3%. Pupose: to study contribution of energy, protein, fat, carbohidrate and fiber from food which comsumed by households that has member(s) who have obesity problem and house holds who do not. Methods: This essay is an analysis of RISKESDAS 2007. Results: Shows that contribution of nutrition (energy, protein, fat, carbohidrate and fiber) from food that are animal product and sugar, also energy, carbohydrate and fat from oil, fat from vegetable and fruits, energy and fat from group of oil from fruit that has seeds on a group of households that obesity problem is higher than households that do not have obesity problem. More over, rice is a group of main food which gave the most contribution of energy, protein, fat, carbohidrate and fiber toward intake daily food on both households that has obesity and households who do not. Conclusions: contribution of (energy, protein, fat, carbohidrate and fiber) from rice groups on households that do not have obesity problem is higher than those who have obesity problems. Total amount of (energy, protein, fat, carbohidrate and fiber) from groups of food comes from animal product, nuts and oil on households that have obesity problem is higher than those who do not have obesity problem.   Keywords: obesity, consumption
HUBUNGAN GANGGUAN GIZI ANAK BALITA BERDASARKAN INDEKS ANTROPOMETRI TUNGGAL DAN KOMBINASI DENGAN MORBIDITAS DAN IMPLIKASINYA Yekti Widodo; Sri Mulyati; Heryudarini Harahap
Penelitian Gizi dan Makanan (The Journal of Nutrition and Food Research) Vol. 33 No. 1 (2010)
Publisher : Persagi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22435/pgm.v33i1.1359.

Abstract

Background: Under weight, stunting and wasting are single anthropometry index that are not enough to predict prevalence of under nutrition. Using underweight as indicator to calculate prevalence of under nutrition can be under estimate or over estimate because of underweight is the result of stunting and wasting, not because of the sum of stunting and wasting. Objectives: The aim of this data analysis was to compare the relationship of prevalence of children under five under nutrition with morbidity between single and composite indices. Methods: The source of data from Health Research Basic (Riset Kesehatan Dasar) 2007/2008. Under five year nutritional status was analysis with WHO Anthro 2009 software. The statistically analysis conducted with X2 statistical test. Results: The prevalence of severe malnutrition (z-score <-3 SD, WH0-2005) based on single anthropometry index for underweight (weight/age) was 4.8%, stunting (height/age) was 18.8%, and wasting (weight/height) was 6.2%, however based on combination indices, the prevalence of severe malnutrition was 25.5%. The severe and moderate malnutrition (z-score <-2 SD, WH0-2005) based on single anthropometry indices was 19.0%, stunting was 37.0%, and wasting was 14.4%, whereas based on combination indeces the prevalence of severe malnutrition and mild malnutrition was 50.1%. The risk of upper respiratory infection, diarrhea, and measles was higher (odd ratio: 1.1- 1.4) on children with combination indices than single anthropometry indices. Conclusions: Composite anthropometry analyses could explain under five children that severely and totally malnourished. Based on combination indices one out of four under five children was severely malnourished and one out of two children was malnutrition. The morbidity was higher on children with composite indices than single anthropometry indices.   Keywords: composite indices, anthropometry, severe-malnourished prevalence