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In Canada , 'Dietitian' is a protected professional title. It looks like your browser does not have JavaScript enabled. Plus the ability to turn that knowledge into a thriving coaching practice. However, unless the programmes are highly specific and narrowly targeted, interpretation may be difficult, since factors other than those introduced or changed by the programme known as confounding factors may have varied at the same time and contributed to the apparent effect of the programme. December Date marks give a guide to how long food can be kept before it begins to deteriorate or may become unsafe to eat.

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National Nutrition Survey 2018 launched in Pakistan

Elements suggesting a cause and effect relationship can be formulated, but without seeking absolute proof, if plausibility of the effectiveness of the programme appears sufficient to those in charge. In , Vietnam implemented a national strategy of supplementation with vitamin A capsules through health centres to combat xerophthalmia.

Three years later, an evaluation recorded a very high coverage of the populations at risk by the programme and, in addition, did not observe any clinical case of xerophthalmia based on a nationally representative sample of pre-school children.

In this case, there is little doubt that the result is directly linked to the programme, even if the evaluation cannot formally prove it: Plausibility of the link is very strong here. On the other hand, during the same period another country launched a programme to improve household food security, encompassing a certain number of measures such as the support to farm-gate prices for food crops and a reorganization of local markets on the basis of previously identified weaknesses.

The evaluation of the programme after several years of operation showed a slight improvement in the situation. Without a rigorous evaluation design, it is impossible to evaluate the relative share of improvement due to the programme or to other factors. These elements will be useful each time it has to be decided whether the programme should be continued or not.

A group of convergent elements based on the available indicators will be established in order to reach a conclusion on its likely effectiveness. Often, for financial reasons, a programme cannot be implemented straight away in all the targeted areas; these will be incorporated into the programme gradually. However, the necessary indicators can usefully be collected in all the zones from the start, for this will provide elements for comparisons between zones with and without the programme and before and after the programme, which will in turn be useful to document the plausibility of effectiveness of the intervention.

This will make it easier to evaluate the sustainability of the programme by measuring the effect simultaneously in areas where the programme has been in operation for increasing durations. The purpose of an evaluation is not only to measure impact, but also to allow the programme to be adapted to changing conditions.

An early warning system will be evaluated primarily on its ability to foresee any worsening in the consequences of food crises among the groups most at risk; it will thus comprise a number of indicators on the strategies implemented according to the degree of vulnerability, on the levels of food consumption and on the nutritional status of these groups, for example. However, it will also involve indicators to assess whether the situation is evolving towards greater stability improvement of climatic conditions or of food production, for example so that the primary objective of the programme can be refocused if the initial goal has become obsolete.

When evaluating programmes, a distinction is made in practice between impact which is the direct result of the programme, and longer term benefits, which encompass the indirect effects of the programme on the target population, or indeed the whole population, in terms of health, economic and social situation.

In the case of an isolated programme, attention may be focused on its specific impact, but in the context of overall monitoring of a policy or group of programmes, the impact of the complete set of strategies will be the subject of regular evaluation - which will aim not so much at providing evidence of the effectiveness of one or another programme, but rather at verifying whether the situation is evolving in the desired direction, taking into account external circumstances and the programmes in operation.

Apart from regular measurement of progress, this will also provide an opportunity to check that the conceptual analysis on which the choice of different strategies was based is still relevant, or to see whether activities need refocusing. The aim is to examine changes in the situation in terms of the general objectives of the policy adopted, implying regular collection of a certain number of indicators of risk and of causes, as well as major basic indicators, to be used by country planners and by international agencies or donors, and assessment of trends.

This corresponds to one of the nine strategies proposed in by the ICN Plan of Action - which has been taken up since then by a number of countries for their national action plan - that of "assessing, analysing and monitoring nutrition situations". This implies setting up a proper nutrition surveillance system applied to planning.

These national plans have explicit general goals with an order of magnitude for expected reductions in malnutrition levels or improvements in various sectors.

As a result of its plan, Ecuador, like other countries, anticipates fulfilling the following objectives in terms of improvements in the nutritional status of the population: Objectives will be all the more explicit and realistic if there is a recent "baseline" and an idea of trends in the past or in neighbouring countries or in countries with similar constraints. However, waiting for a complete baseline to be available would not be reasonable; one can start with existing data from the various services, or with rapid surveys carried out on a one-off basis when there are no data for a specific problem deemed to be important.

Yet implementing a policy must be an opportunity for also setting up a monitoring system - covering at least the main indicators of status and causes of malnutrition, which will be put in perspective with major agro-ecological and socio-economic indicators - in order to have an ongoing "log-book" of the situation and of time trends. After analysis, a country considers that the prevalence of low birthweight is too high and that the goal of reducing it implies i strengthening the performance of pre-natal health care services, ii promoting a better diet for mothers-to-be, either through better use of local food or the specific distribution of food supplements, and iii encouraging a reduction in the workload of pregnant women through various measures.

The precise actions to be undertaken and any precise quantification in terms of intermediate objectives depend of course on the specific country situation. Monitoring implementation of these actions will be based on a quantitative and qualitative assessment of the performance level of the units concerned number of rations distributed or number of persons who have used the services, percentage of services which have given advice and care of adequate quality to pregnant women, quality of rations distributed, level of use of the advice and care by the beneficiaries, etc.

At programme evaluation, outcomes and impact indicators can be based on changes in the frequency of consumption of certain foods by the women attending the units, or on changes in average birth weight and prevalence of low birth weight in the target population.

Indicators do not all have the same value. In theory this depends on their ability to best reflect a sometimes complex reality, but a trade-off will have to be found given the level of difficulty in collecting them.

Therefore, indicators are traditionally defined according to a certain number of properties that allow their value to be assessed, at least in a given context. Obviously they do not all present all the characteristics of a good indicator, so that it will have to be decided which characteristics are to be given priority when selecting indicators.

It entails that the indicator does indeed offer a true and as direct as possible measurement of the phenomenon considered. At conceptual level, it depends first of all on how clearly the phenomenon to be measured has been defined and also on the ability to measure it directly.

This poses a problem where the phenomenon to be measured is linked to a multidimensional concept, and is thus difficult to measure in a global way. There must, in particular, be a consensus on the level and significance of cut-off points for classification. A major standardization effort has for example been made in the field of measuring nutritional status and recommended dietary intakes, and this has helped give a more precise framework for use of the corresponding indicators.

This is not always the case in other sectors, either because the indicators lend themselves less to quantification, or because such quantification depends very much on local circumstances.

Relevance in the context of planned use must, in this case, be based on a local analysis shared among the different stakeholders, as we will see below. Moreover, even if the indicator correctly describes a phenomenon, any systematic bias in collecting the corresponding information due to measurement methods or instruments will affect its validity. There is no overall indicator to provide a picture of "nutritional status", therefore a decision has to be made on which specific aspect of nutritional status is to be characterized: Even in the case of energy status, for example, no overall indicator is available; the indicator which is the most relevant for the aspect one wishes to prioritise - physical, biochemical, functional, etc.

For assessing the nutritional situation of a population, a set of individual anthropometric measurements have been adopted, that, when compared to reference values, make it possible to assess the status of individuals or populations; they constitute the corpus of relevant indicators to be used preferably over any other. However, when using these indicators, one should be aware of limitations to their validity: In the field of "food security", - again a very broad concept difficult to translate in simple terms - there is a considerable number of indicators, each reflecting a specific aspect and thus only relevant for a given aspect.

For example, in order to describe the level of food insecurity of a household, an indicator based on a quantitative criterion of food consumption or a qualitative criterion of the perception by the household of its own food insecurity situation will be more relevant than an indicator of prices of foodstuffs on the local market.

Imprecision due to measurement methods, variability from one day to another may limit the reproducibility of the indicator. This causes an increase in variance and implies that larger samples will be needed in order to assess correctly the level of the indicator and its variations over time. Subjectivity bias is a frequent risk with indicators deriving from qualitative surveys, as they describe behaviours or opinions of households, for example, since the personality or technique of the person conducting the survey may influence the nature of responses.

Moreover, respondents to a questionnaire or subjects under observation can modify their responses or behaviour in a normative way. People who are overweight, for example, often minimise their actual food intake when interviewed for a food consumption survey.

Reproducibility guarantees that an indicator can be measured at repeated intervals in a comparable manner - a quality which is crucial when using the indicator to assess and monitor the situation.

A complementary characteristic is specificity, which refers to the ability to identify those not affected by the risk or characteristic. Sensitivity is measured in practice by the ratio of the number of individuals identified by the indicator as being at risk or as having the characteristic to the number of individuals who are actually at risk or have the characteristic.

Specificity is the ratio of the number of individuals not identified by the indicator to the number of individuals who are actually not at risk or do not possess the characteristic. Sensitivity thus gives an idea of the degree of correct or misclassification linked to the use of an indicator.

Not all indicators lend themselves to an assessment of sensitivity. Sensitivity applies essentially to indicators with cut-off values. Moreover, sensitivity is measured with respect to a given goal; sensitivity of an indicator such as weight-for-height at a given cut-off value will not be the same, depending on whether the goal is to identify children who are wasted or those who are at risk of dying in coming months.

Data for quick computation of these parameters sensitivity, specificity are not always available, so in practice, reference is made to existing data from the literature to find those closest to the chosen cut-off values and expected prevalences. One particular aspect of sensitivity is the ability of an indicator to measure change, not in order to identify or target a particular category of individuals as previously but to detect the smallest possible change in the phenomenon described, in a significant way.

While sensitivity, in general, is important when establishing a baseline, and for defining the target groups to which the activities will be directed, this ability for measuring change is crucial for assessing or monitoring trends, in particular to detect changes in the situation during implementation of the programme. However, it is relatively inert when assessing small progressive changes in nutritional status over time, and the weight-for-height indicator will be preferred in this case, since it is more sensitive to change.

Also, urinary iodine will respond to introduction of salt iodization in a region quicker than prevalence of goitre, which will decline only slowly. In addition to these inherent characteristics of indicators, their operational value should be examined; it will be essential when the choice of indicators is made, especially in terms of speed and cost of collecting data for producing these indicators.

It represents the practical possibility of making available the indicator in question. It implies the feasibility of collecting the corresponding data by whatever means.

There are indicators described as "ideal" which nobody is in practice able to collect. As a result of major international conferences and of programmes that have followed them during the last two decades, many of the required indicators are already systematically and regularly collected within the framework of such programmes and are thus very easily available.

It affects use of the indicator not only at the descriptive stage, but also when monitoring the situation. An indication of the quality of the measurements, of sampling and of the confidence interval of the result is essential here to assess dependability.

Occasionally, it has been observed that the number of malnourished children estimated by nutritional surveys carried out by various organizations on identical populations and during the same periods, differed substantially; using the results for targeting purposes or for monitoring the situation is ruled out in this case.

The reason was usually the lack of precision of the anthropometric measurements or of the definition of age, and occasionally a sampling problem. Data on food consumption obtained by weighing food are more precise than those obtained with the "recall" technique, although the former implies technical constraints and can therefore only apply to small samples, so that there is a broad confidence interval in the results.

Recall techniques, on the contrary, can easily be applied to a large sample, obviously with a smaller confidence interval. The various available data must therefore be carefully examined before using them for monitoring purposes, and a choice will sometimes be made between data collected with a higher level of accuracy but lower power at the level of the target population, or the opposite. On this depends, in part, the speed and frequency with which the indicator can be regularly measured.

When the data necessary for the construction of the indicator need to be collected specifically for evaluation or monitoring, cost should be considered; it depends on the difficulty and sophistication of the measurements, the accessibility of the objects or people to be measured, the frequency of collection and the complexity of the analysis subsequently. The cost of non-collection may be measured, in the case of a food subsidy programme, for example, by the difference between the cost of the programme if it is carried out without particular targeting, in the absence of any indicator allowing targeting, and the cost of the programme for the target population, plus the cost of targeting, if the programme is to be directed at a high risk group only.

Nevertheless, information on the cost of collecting an indicator for each situation is seldom available. It is difficult to measure, and estimates are generally based on the cost of different types of survey within the country, taking account of the fact that several indicators are collected at the same time.

Indicators can be categorized schematically in the following way according to the level at which they are produced or made available:. They include both indicators regarding the implementation of services as well as indicators regarding the situation or the impact of actions under way. It is generally easy to obtain them from the departments concerned, which usually have time series that are very useful in distinguishing medium- and long-term trends. Even so, it is not always possible to cross-tabulate these indicators, since they do not necessarily come from the same databases and are accessible only in a relatively aggregated form.

It is also difficult to verify the quality of the original data. Lastly, even if the data are collected on a frequent basis monthly reports, for example , recovery and analysis may take too long.

Such data tend not to be immediately accessible except in summary form, although it is easy to organize new analyses with the departments in charge of them. These data allow statistical cross-tabulation to be made between the many variables collected simultaneously on the sample. Although carried out at best at very long intervals, they can be updated with reasonable projections, especially if information on trends in the fields of interest, based on routinely collected data, are also available.

These data are often kept together in national statistical offices. They consist of a regular collection of information based on a small number of selected indicators. The system varies by country, those that perform best are based on an explicit conceptual framework and are linked to a clear decision-making mechanism.

They can represent a sound basis for central monitoring. A particular category is derived from surveys conducted by international bodies for various purposes: These cross-sectional surveys are conducted directly at household level on samples which are representative at national level but of variable size; they include a wide variety of indicators in number, goals and qualities and are now frequently repeated.

Although conducted peripherally, they are generally available and used centrally. These sources, which are in principle fairly reliable, benefit from an advanced level of analysis allowing causal inference to be derived of relationships among various household indicators, and with individual indicators, such as nutritional status.

They represent a precious source when establishing a baseline and when analysing causes prior to launching an intervention. These are constructed primarily on the basis of routinely collected data from local government offices, community-based authorities. They are usually passed on as indicators or raw data to the central level, and then sent back to the decentralized levels, with varying degree of regularity, after analysis. They are often disaggregated by district or locality, but are not always representative, since they often refer only to users of the services under consideration.

They are generally grouped together at the central administrations of regions or administrative centres. The indicators relate primarily to activities that lend themselves to regular observation, either because they record activities indicators of operation or delivery of services or because they are necessary for decision-making crop forecasts, unemployment rates or for monitoring purposes market prices of staples, number of cases of diseases, etc.

They do not necessarily include indicators of the causes of the phenomena recorded and are not in principle qualitative indicators. Indicators collected at decentralized levels should meet both the needs of users on these levels and also those of users on the central level for the implementation and monitoring of programmes.

If these regularly compiled indicators do not have any real use at the local level and are intended only for the national central level, there is a danger that their quality will drop over time, for lack of sufficient motivation of those responsible for collection and transmission - and gaps are therefore often found in available data sets.

Nevertheless, they are invaluable in giving a clear picture of the situation on the regional or district level, together with medium-term trends. Generally speaking, their limitation is the low level of integration of data from different sectors.

A certain number of indicators, particularly those concerning the life of communities or households and not touching on the activities of the various government departments, are not routinely collected by such departments and are in any case not handed on to the regional or central offices. They are sometimes collected at irregular intervals by local authorities, but most often by non-governmental organizations for specific purposes connected with their spheres of activity - health, hygiene, welfare, agricultural extension, etc.

Analytical capabilities are often lacking at this level, and the available raw data may not have led to the production of useful indicators. Action therefore should be taken to enhance analytical capacities or else sample surveys will have to be carried out periodically on these data in order to produce indicators.

A sound knowledge of local records and their quality is needed to avoid wasting time. New collection procedures often have to be introduced for use by local units, while being careful not to overload them or divert them from their own work. Otherwise a specific collection has to be carried out by surveying village communities targeted for analysis or intervention. These surveys are vital for a knowledge of the situation and behaviours of individuals and households and an evaluation of their relationship with the policies introduced.

In three regions, stunting affects one in every three children Percentage of children under 5 who are stunted, Percentage of children under 5 who are stunted, by region, to Globally, stunting declined from one in three to just under one in four between and Percentage of children under 5 who are stunted, by region, to Between and , the number of stunted children under 5 worldwide declined from million to million.

At the same time, numbers have increased at an alarming rate in West and Central Africa - from Number millions of children under 5 who are stunted, by region, and Percentage of children under 5 in millions who are overweight, by region, to The prevalence of overweight under-fives has increased significantly between and in Eastern Europe and Central Asia Percentage of children under 5 in millions who are overweight, by region, to Number of children under 5 in millions who are overweight, by region, to The number of overweight under-fives has increased significantly between and in Eastern Europe and Central Asia Number of children under 5 in millions who are overweight, by region, to The prevalence of wasting in South Asia is so severe, at Percentage of children under 5 who are wasted, by region, Map Disclaimer These maps are stylized and not to scale and do not reflect a position by UNICEF on the legal status of any country or territory or the delimitation of any frontiers.

The final status of Jammu and Kashmir has not yet been agreed upon by the parties. The final boundary between the Sudan and South Sudan has not yet been determined. The final status of Abyei area has not yet been determined.

Percentage of children under 5 who are stunted, by wealth quintile and by region, The stunting rate is more than double among the poorest children when compared to the richest Percentage of children under 5 who are stunted, by wealth quintile and by region, Nutrition targets tracking tool. Global Nutrition Report Joint Child Malnutrition Estimates — edition. Joint Child Malnutrition Estimates — edition interactive dashboard.

Notes on the data. These children can suffer severe irreversible physical and cognitive damage that accompanies stunted growth. The devastating effects of stunting can last a lifetime and even affect the next generation. Wasting is the result of recent rapid weight loss or the failure to gain weight. Overweight increases the risk of diet-related noncommunicable diseases later in life.

Growth standard reference population Prevalence of stunting, wasting and overweight among children under 5 is estimated by comparing actual measurements to an international standard reference population.

Adjusting country-level estimates Before conducting trend analyses of child nutritional status, it is important to ensure that estimates from various data sources are comparable over time. Assigning years to surveys When data collection begins in one calendar year and continues into the next, the survey year assigned is the one in which most of the fieldwork took place. Final reports only As of the edition, the country-level dataset used to generate the global and regional joint malnutrition estimates is based only on final survey results.

Estimating country-level progress Country-level progress in reducing undernutrition prevalence is evaluated by calculating the average annual rate of reduction AARR and comparing this to the AARR needed in order to achieve targets.

Estimating regional trends by multi-level modelling Estimation of regional and global trends is based on a multilevel modelling method see de Onis et al. Model-based trend analysis of underweight prevalence percentage , by region How to read this chart: Other notes on Joint Malnutrition Estimates 1. Population coverage was calculated as: Stunting refers to a child who is too short for his or her age. Wasting refers to a child who is too thin for his or her height. Malone are members of the Steering Committee of the Alliance to Advance Patient Nutrition who have been chosen by the professional organizations they represent and reimbursed for Alliance-related expenses.

We use cookies to help provide and enhance our service and tailor content and ads. By continuing you agree to the use of cookies. Author links open overlay panel Kelly A. Parkhurst MD Ainsley M. Under a Creative Commons license.

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