| Literature DB >> 26779472 |
Madhavan K Nair1, Little Flower Augustine1, Archana Konapur1.
Abstract
Global data indicate a high prevalence of hidden hunger among population. Deficiencies of certain micronutrients such as folic acid, iodine, iron, and vitamin A have long lasting effects on growth and development and therefore have been a National priority from many decades. The strategy implemented so far limits to the use of supplemental sources or fortified foods in alleviating the burden of deficiencies. These approaches however undermine the food-based strategies involving dietary diversification as the long-term sustainable strategy. There is lack of understanding on the level of evidence needed to implement such strategies and the level of monitoring required for impact evaluation. Dietary diversity concerns how to ensure access for each individual to a quality and safe diet with adequate macro- and micronutrients. The key to success in using dietary diversity as a strategy to tackle hidden hunger is in integrating it with the principles of bioavailability, translated to efficient food synergies with due emphasis on food accessibility, affordability, and outdoor physical activity/life style modifications. Promoting enabling environment and sustainable agriculture is crucial for practicing dietary diversification with behavior change communication as an integral segment. It can be concluded that food-based strategies require careful understanding of the factors associated with it and moderate it to form an effective strategy for controlling multiple micronutrient deficiencies.Entities:
Keywords: developing countries; diet quality; dietary diversity; food synergy; micronutrients
Year: 2016 PMID: 26779472 PMCID: PMC4700276 DOI: 10.3389/fpubh.2015.00277
Source DB: PubMed Journal: Front Public Health ISSN: 2296-2565
Global data on prevalence of major micronutrient deficiencies.
| Anemia | Night blindness (VAD) | Inadequate zinc intake | Hypovitaminosis D | |||
|---|---|---|---|---|---|---|
| Children <5 years | Pregnant women | Children <5 years | Pregnant women | |||
| Africa | 53 | 39 | 2.1 | 9.4 | 22 | 40–91 |
| Asia | 40 | 36 | 0.5 | 7.8 | 26 | 25–80 |
| Europe | 26 | 24 | 0.7 | 2.9 | 10 | 15–83 |
| Latin America and Caribbean | 33 | 27 | 0.6 | 4.4 | 17.0 | 27–67 |
| Oceania | 43 | 36 | 0.5 | 9.2 | 22 | 25–80 |
| Global | 43 | 38 | 0.9 | 7.8 | 17 | 30–90 |
Prevalence of subclinical forms of vitamin A deficiency is 33.3% in preschool children and 15.3% among pregnant women. Severe anemia amounts to 1.1% globally among non-pregnant women and 0.9% among pregnant women. Based on Ref. (.
Figure 1Contribution of different food groups in meeting the daily requirement of micronutrients (A) iron, (B) vitamin C, (C) folate, and (D) zinc. Calculated using the model diet (8) and the food composition database (9).
Advantages and disadvantages of diet diversity.
| Advantages | Disadvantages |
|---|---|
| Long-term sustainable strategy | May not work as a sole strategy for vulnerable segments due to the need for long-term practice and consumption for demonstrating an impact |
| Emphasizes food groups (not individual foods) and food synergy | Creating enabling environment and nutrition education at all levels |
| Improve quality of diets and ensures improved micronutrient intake by entire household | Overestimates the benefit and ensuring adherence is challenging |
| Targets multiple micronutrients | Accurate food data composition is needed, difficulty in making parallelism between nutrient sources vs. biomarker |
| Understanding of how foods interact with the human biological system (holistic approach) | Very complex pathways and lack of measureable endpoints |
| Relatively low antagonistic interactions and targets unknown nutrients | Minimal processing of unconventional foods, intake of non-nutrients and antinutrients affecting health, e.g., phytate and toxins |
| Cultural acceptability | Lacks evidence base and employs history of safe use and practicing food fads. Requires behavioral change and knowledge of food synergy |
| Economic feasibility | Nutrient-rich expensive dry fruits and nuts, perishable flesh foods, fruits, and vegetables and needs cold storage |
| Biodiversity and employment | Unorganized sector |
Diet diversity tools developed and validated with micronutrient adequacy in developing countries.
| Country | Target group ( | Tools | Tool specifications, advantages/disadvantages | Correlation with MAR | |
|---|---|---|---|---|---|
| Mali ( | 13–58-month-old children ( | DDS, FVS | 8 food groups for DDS and 75 food items for FVS. Simple count of foods over 24 h. Used sensitivity–specificity analysis for cutoff | Medium | |
| 15–59-year-old men and women ( | DDS, FVS | 9 food groups for DDS and 69 food items for FVS. Simple count of foods over 24 h | FVS medium, DDS low | ||
| 15–45-year-old men and women ( | DDS, FVS | 9 food groups for DDS and 164 food items for FVS. Simple count of foods over 24 h | Medium | ||
| Tehran ( | 10–18-year-old adolescents ( | DDS | 5 food groups for DDS. Quantification using half recommended serving intake during a 2-day period | Medium | |
| Sri Lanka ( | >60 years ( | FVS, DDS, DDS half DSS | 6 food groups for DDS, DDS half, DSS. 15 foods for FVS. Simple count for DDS and FVS, intake of half recommended serving for DDS half, and DSS received a score of maximum of 20. Sensitivity and specificity analysis was done | Medium | |
| S. Africa ( | 1–8-year-old children ( | DDS, FVS | 9 food groups for DDS and 45 food items for FVS. Simple count of foods over 24 h. Sensitivity and specificity analysis for cutoff | High | |
| Data sets of | 15–49-year-old women | Food group diversity indicators | 6, 9, 13, and 21 food groups. DDS quantified using minimum of 1 and 15 g intake for 24 h. Sensitivity and specificity analysis for cutoff | Low to medium for both FGI, 1 g FGI, 15 g | |
| Burkina Faso | ( | ||||
| Mali | ( | ||||
| Mozambique | ( | ||||
| Bangladesh | ( | ||||
| Philippines ( | ( | ||||
| India | 5–8-year-old children ( | DDS | FVS | 13 food groups for DDS and 78 food items for FVS. Simple count for 24 h. Sensitivity and specificity analysis for cutoff | Low |
| Philippines | 24–71 months old ( | DDS | DDS 10 g | 10 food groups for DDS with and without quantification (10 g minimum intake) for 24 h. Sensitivity and specificity analysis for cutoff | Medium |
| 24 months old ( | DDS | DDS 10 g | 9 food groups with and without quantification (10 g minimum intake). Sensitivity and specificity analysis for cutoff | Low to medium |
<0.1–0.29: low, 0.3–0.69: medium, and >0.7 arbitrarily considered as high correlation. A variety of indexes were developed and validated with mean adequacy ratio – MAR, which is the mean ratio of intake to recommended intake.
.
Diet diversity tools validated with Biomarkers of intake and micronutrient adequacy.
| Marker | Intake data | Outcome | |
|---|---|---|---|
| 1 | Serum (13C:12C-retinol) by GCCIRMS ( | 3 days record for fruit and vegetable | Correlation with vegetable intake |
| 2 | Plasma vitamin C ( | Fruits and vegetables | Correlation with weighed record method |
| 3 | Urinary levels of B1, B2, B3, B6, B7, B12, folate, and vitamin C ( | Vitamins based on dietary assessments | Correlation except for vitamin B12 over the recent 2–4 days in free-living children, young, and elderly |
| 4 | Skin carotenoid status resonance Raman spectroscopy ( | Fruit and vegetable consumption | Positively associated with fruit/vegetable consumption ( |
| 5 | 24-h urinary excretion of Ca, Mg, P, Fe, Zn, Cu, Mn, Se, and Mo on day 4 ( | Weighed food record | Positive association for urinary Ca, Mg, P, Se, and Mo but not for Zn, Cu, and Mn |
| 6 | 24-h urinary Hippuric acid by direct colorimetry ( | 3-day weighed dietary records of fruit and vegetable intake | Correlations of HA with FVJ, K intake with urinary K in children |
| 7 | Proline betaine as marker for citrus fruit consumption by NMR spectroscopic profiling ( | Controlled study followed by validation | Sensitivity – 86.3, specificity – 90.6 |
| 8 | 46 putatively annotated ions, LC-MS/MS ( | FFQ | MS/MS fragment ion were differentially abundant between the two intervention diets |
| 9 | Serum β-carotene HPLC vitamin C automated method ( | Interview-based dietary-history method | β-carotene associated with fruit and vegetable intake and vitamin C with fruit intake |
| 10 | Urinary flavonoids as marker of fruit and vegetable intake, LC-MS ( | 3-day dietary record | Significant differences in the urinary excretion of flavonoids between subjects on diets high or low in fruits, berries, and vegetables |
| 11 | 24-h and morning urinary flavonoid excretion in LC-MS ( | Intake of fruits and vegetables | 24-h urinary flavonoids increased linearly with increasing fruit and vegetable intakes |
| 12 | Fasting plasma carotenoid levels and retinol ( | Daily fruit and vegetable servings (DFAVS) | Plasma β-cryptoxanthin, lutein, and zeaxanthin levels were positively associated with consumed DFAVS |
| 13 | Metabolomics in urine sample ( | Coffee intake, garlic intake, fruit and vegetable intake, alcohol intake, meat intake, hypocaloric dieting | Strongest associations between fruit and vegetables intake and a glycerophospholipid and sphingolipid |
| 14 | Metabolomics in urine sample ( | Citrus fruit | Proline betaine sensitivity 80.8–92.2; specificity, 74.2–94.1% |
| 15 | Metabolomics flow electrospray–ionization mass spectrometry ( | Intake of salmon, broccoli, raspberries, single day breakfast | TMAO and 1-methylhistidine correlated with fish intake. Increased ascorbate derivatives with broccoli or raspberries. Sulphonated caffeic acid and sulphonated methyl-epicatechin concentrations increased after consumption of raspberries |
| 16 | Non-targeted metabolite profiling of plasma samples ( | Intake data | Glucuronidated alk(en)-ylresorcinols correlated with the intake of whole-grain products |
| Plasma furan fatty acids correlated with the intake of fish |
GCCIRMS, gas chromatography coupled to isotope ratio mass spectrometry, FFQ, food frequency questionnaire; LC–MS/MS, liquid chromatography–mass spectrometry and liquid chromatography–tandem mass spectrometry; TMAO, trimethylamine oxide.
Figure 2Path of achieving sustainable strategy of dietary diversification to improve micronutrient status: a conceptual frame work for developing countries.
| Challenges | Opportunities |
|---|---|
| Policy | Evaluating the effects of government policies for production and trade on supply and demand for certain types of food and the impacts on nutrition |
| Creating evidence base to improve the diet quality (e.g., by increasing fruit, vegetable, and animal product intake) | How to establish a dynamic national food composition data base, recommended dietary allowances, and dietary guidelines? Can it be harmonized? |
| What are the effective food synergies that can be practiced to improve micronutrient intake and bioavailability? | |
| Assessing bioavailability of micronutrients from modified habitual diets in vulnerable segments of the population (pregnant, lactating, children, and adolescents) | |
| Developing tools to assess effects on functional outcomes such as growth and development, gut health, immune function, pregnancy outcome, life style disease | |
| Developing biomarkers of intake and food-based systems biologyEstablishing need for complementary interventions to ensure adequate intake | |
| Creating enabled environment | How to increase the accessibility and availability of foods produced at national level as well as practicing homestead food production at household level |
| Technology of reducing postharvest losses to ensure increased shelf life | |
| How to engage the village leaders to improving the access of fruits and vegetables to local markets | |
| Affordability: by providing minimum support price and cash transfer to the farmers | Assessing the economic viability and environmental sustainability |
| Behavior change communication for practicing diet diversification | Popularizing effective food synergies, assessing how agricultural diversity affects dietary quality in different contexts |
| Women’s economic empowerment and skill development for homestead production | Assessing enhanced micronutrient status for women and children |
| Developing nutrition-centered approaches in climate change | Understanding the relationship between factors (food system and nutrition, individual- and household level-factors, and climate change/population trend) and outcomes (good nutrition, economic viability, and environmental sustainability) through modeling |
| Post-harvest technology | Developing technologies to increase shelf life to retain all the micronutrients |