Milk-and-Dairy-Products-in-Human-Nutrition-FAO
Milk-and-Dairy-Products-in-Human-Nutrition-FAO
Milk-and-Dairy-Products-in-Human-Nutrition-FAO
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Chapter 7 – <strong>Milk</strong> <strong>and</strong> dairy programmes affect<strong>in</strong>g nutrition 277<br />
7.2 Sources <strong>and</strong> approach to the review<br />
A comprehensive review of the peer-reviewed <strong>and</strong> grey literature was conducted<br />
to identify milk programmes affect<strong>in</strong>g the nutrition of populations <strong>in</strong> develop<strong>in</strong>g<br />
countries. “<strong>Milk</strong> programme” was def<strong>in</strong>ed as an <strong>in</strong>tervention <strong>in</strong>troduced <strong>in</strong>to a<br />
def<strong>in</strong>ed population over a certa<strong>in</strong> period of time that <strong>in</strong>volved milk <strong>and</strong> affected<br />
nutrition <strong>in</strong> some manner. Databases searched <strong>in</strong>cluded: Proquest; PubMed Central;<br />
Science Direct; <strong>and</strong> Scopus. Coverage was global, although most records were<br />
<strong>in</strong> English. In addition, web pages from several <strong>in</strong>ternational agencies <strong>and</strong> nongovernmental<br />
organizations were searched for grey literature, monographs <strong>and</strong><br />
evaluations. Both simple <strong>and</strong> multifield/advanced searches were used. The follow<strong>in</strong>g<br />
criteria were used to decide whether to <strong>in</strong>clude a programme <strong>in</strong> the study: 1) milk or<br />
dairy products were part of the <strong>in</strong>tervention; 2) nutrition, <strong>and</strong> <strong>in</strong> some cases health<br />
<strong>and</strong> anthropometry of participants, was affected through the diet; 3) the study was<br />
<strong>in</strong>tended to <strong>in</strong>form programm<strong>in</strong>g (observational/formative) or <strong>in</strong>cluded an evaluation<br />
that allowed the possibility of <strong>in</strong>ferr<strong>in</strong>g adequacy, plausibility or probability<br />
(see follow<strong>in</strong>g paragraph); <strong>and</strong> 4) the programme context was a develop<strong>in</strong>g country.<br />
Programmes were classified <strong>in</strong>to four levels of <strong>in</strong>ference, to <strong>in</strong>dicate quality of<br />
design <strong>and</strong> methods. These were, <strong>in</strong> ascend<strong>in</strong>g order of rigour: 1) observational/<br />
formative; 2) adequacy; 3) plausibility; <strong>and</strong> 4) probability (Habicht, Victora <strong>and</strong><br />
Vaughan, 1999). Observational/formative <strong>in</strong>cludes those results <strong>and</strong> f<strong>in</strong>d<strong>in</strong>gs that<br />
are <strong>in</strong>tended to <strong>in</strong>form programm<strong>in</strong>g strategies or are later used to do so. No<br />
conclusions may be drawn on <strong>in</strong>tervention impact. Adequacy <strong>in</strong>cludes studies or<br />
evaluations assess<strong>in</strong>g only whether expected changes occurred. There is usually<br />
no control group, but at least two surveys or measures over time <strong>and</strong> space are<br />
carried out to assess change. The next level of <strong>in</strong>ference is plausibility, <strong>in</strong> which<br />
factors operat<strong>in</strong>g to <strong>in</strong>fluence outcome beyond the programme <strong>in</strong>tervention may be<br />
considered. Some form of control group (historical, <strong>in</strong>ternal or external) is generally<br />
used <strong>in</strong> these quasi-experimentally designed evaluations. The highest level of<br />
<strong>in</strong>ference possible is probability, where the evaluation design is likely to be able to<br />
demonstrate causality. Programme <strong>in</strong>tervention may be l<strong>in</strong>ked to outcomes with<br />
a low probability of confound<strong>in</strong>g, bias or chance. R<strong>and</strong>omized controlled trials<br />
(RCTs) have been the gold st<strong>and</strong>ard for this <strong>in</strong>ference, though different techniques<br />
<strong>and</strong> evaluation designs are becom<strong>in</strong>g more widely accepted to establish attribution<br />
(Victora, Habicht <strong>and</strong> Bryce, 2004).<br />
Table 7.1 (see Annex) summarizes the programmes reviewed <strong>in</strong> each of the<br />
four categories. Programmes are organized alphabetically by country name with<strong>in</strong><br />
regions <strong>and</strong> then chronologically by date if there was more than one programme or<br />
study per country.<br />
7.3 <strong>Dairy</strong> production <strong>and</strong> agriculture programmes<br />
<strong>Nutrition</strong> is most likely to be affected by dairy production programm<strong>in</strong>g via two<br />
pathways: <strong>in</strong>creased milk availability from production lead<strong>in</strong>g to <strong>in</strong>creased direct<br />
consumption; <strong>and</strong> improved access to higher-quality foods as a result of <strong>in</strong>creased<br />
<strong>in</strong>come (Figure 7.1). Whether diet improves as a result of <strong>in</strong>creases <strong>in</strong> <strong>in</strong>come<br />
depends on the recipient’s underst<strong>and</strong><strong>in</strong>g the need for good nutrition; if they do<br />
not, the additional <strong>in</strong>come may be used to buy more of the same foods or foods<br />
of lesser quality. Other possible negative effects of dairy production on nutrition