Recommendations for improving Guatemala's food fortification program based on household income and expenditure survey (HIES) data.

نویسندگان

  • John L Fiedler
  • Meri Helleranta
چکیده

BACKGROUND Fortification offers great potential for reducing the enormous disease burden of micronutrient deficiencies. The lack of information on food consumption patterns has been a major impediment to the development of fortification programs. In some countries, the absence of this information has been an obstacle to the introduction of fortification. In countries that have fortification, governments are increasingly being challenged to provide evidence that programs are well designed and effective. OBJECTIVE To examine the usefulness of household income and expenditure surveys (HIES) as a means for addressing this information gap and making fortification programs more evidence-based and more accountable. METHODS Data from Guatemala's 2005/6 Living Standards Measurement Survey are used to develop a measure of "apparent food consumption". The measure is used to assess Guatemala's fortification program by analyzing the coverage and the additional micronutrient intake attributable to different food vehicles, combinations of food vehicles, and fortification formulations. RESULTS There are three key findings. The impact of the wheat flour fortification program is considerably greater than had previously been estimated; the level at which sugar is currently fortified with vitamin A may be excessive and should be reviewed; and fortifying semolina flour (used to make pasta) would extend the benefits of wheat flour fortification to 60,000 households that currently do not benefit from it and would increase the amount of fortified food consumed by 68% of the population. Beneficiaries would include 63% of the extreme poor, and the greatest benefits would go to those wheat flour consumers who currently benefit the least from consuming fortified wheat flour products. CONCLUSIONS HIES data should be used more routinely as a tool in the designing, monitoring, and assessing of fortification programs.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Household income and expenditure surveys: a tool for accelerating the development of evidence-based fortification programs.

BACKGROUND One-third of the world's population suffers from micronutrient deficiencies due primarily to inadequate dietary intake. Food fortification is often touted as the most promising short- to medium-term strategy for combating these deficiencies. Despite its appealing characteristics, progress in fortification has been slow. OBJECTIVE To assess the potential of household food-purchase d...

متن کامل

Effects of Climate Change on Food Expenditures of Rural Households in Iran

This study examined the effects of climate change on food expenditure in rural household of Iran. Food expenditure is investigated as a function of average income of rural households, retail food price index and food expenditure for rural households, agricultural sown area and climate change. Here, the Stata11 software is used and data are from 26 provinces of the country for 10 years. Precipit...

متن کامل

Rural Urban Food Consumption Analysis in Pakistan: Expenditure Elasticities Approach

The rural urban food consumption patterns are estimated and compared in Pakistan in the present study. The Household Integrated Economic Survey (HIEs), 1998-99 data published by the Federal Bureau of Statistics, Islamabad is used. The rural urban food consumption analysis at household level is carried out by dividing the households into five income groups at national and provincial levels. The ...

متن کامل

Food Price Change and its Welfare Impact on Iranian Households

Iran has experienced high food prices in recent years. This paper examines the welfare impacts of rising major food groups' prices on Iranian urban households using Quadratic Almost Ideal Demand System (QUAIDS) approach. The elasticity coefficients derived from QUAIDS are used to estimate Compensated Variations (CV).The study uses Iranian Household Expenditure and Income Survey (HEIS) raw data,...

متن کامل

Bayesian Inference for Spatial Beta Generalized Linear Mixed Models

In some applications, the response variable assumes values in the unit interval. The standard linear regression model is not appropriate for modelling this type of data because the normality assumption is not met. Alternatively, the beta regression model has been introduced to analyze such observations. A beta distribution represents a flexible density family on (0, 1) interval that covers symm...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Food and nutrition bulletin

دوره 31 2  شماره 

صفحات  -

تاریخ انتشار 2010