Evidence map›Paper›PMID 31595016›Full record

ArticleScientific reports2019

Source apportionment of micronutrients in the diets of Kilimanjaro,Tanzania and Counties of Western Kenya.

Michael J Watts, Daniel R S Middleton, Andrew L Marriott, Olivier S Humphrey, Elliott M Hamilton, Amanda Gardner, Martin Smith, Valerie A McCormack, Diana Menya, Michael O Munishi and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Michael J WattsInorganic Geochemistry, Centre for Environmental Geochemistry, British Geological Survey, Nottingham, UK. mwatts@bgs.ac.uk.ORCID http://orcid.org/0000-0003-0379-8401
Daniel R S MiddletonInorganic Geochemistry, Centre for Environmental Geochemistry, British Geological Survey, Nottingham, UK.
Andrew L MarriottInorganic Geochemistry, Centre for Environmental Geochemistry, British Geological Survey, Nottingham, UK.ORCID http://orcid.org/0000-0002-3864-4827
Olivier S HumphreyInorganic Geochemistry, Centre for Environmental Geochemistry, British Geological Survey, Nottingham, UK.
Elliott M HamiltonInorganic Geochemistry, Centre for Environmental Geochemistry, British Geological Survey, Nottingham, UK.
Amanda GardnerInorganic Geochemistry, Centre for Environmental Geochemistry, British Geological Survey, Nottingham, UK.
Martin SmithInorganic Geochemistry, Centre for Environmental Geochemistry, British Geological Survey, Nottingham, UK.
Valerie A McCormackSection of Environment and Radiation, International Agency for Research on Cancer, Lyon, France.
Diana MenyaSchool of Public Health, Moi University, Eldoret, Kenya.
Michael O MunishiKilimanjaro Clinical Research Institute, Moshi, Tanzania.
Blandina T MmbagaKilimanjaro Clinical Research Institute, Moshi, Tanzania.
Odipo OsanoSchool of Environmental Sciences, University of Eldoret, Eldoret, Kenya.ORCID http://orcid.org/0000-0001-9542-9798

Funding

World Health Organization 001
6 · The paper itself

Abstract

Soil, water and food supply composition data have been combined to primarily estimate micronutrient intakes and subsequent risk of deficiencies in each of the regions studied by generating new data to supplement and update existing food balance sheets. These data capture environmental influences, such as soil chemistry and the drinking water sources to provide spatially resolved crop and drinking water composition data, where combined information is currently limited, to better inform intervention strategies to target micronutrient deficiencies. Approximately 1500 crop samples were analysed, representing 86 food items across 50 sites in Tanzania in 2013 and >230 sites in Western Kenya between 2014 and 2018. Samples were analysed by ICP-MS for 58 elements, with this paper focussing on calcium (Ca), copper (Cu), iron (Fe), magnesium (Mg), selenium (Se), iodine (I), zinc (Zn) and molybdenum (Mo). In general, micronutrient supply from food groups was higher from Kilimanjaro,Tanzania than Counties in Western Kenya, albeit from a smaller sample. For both countries leafy vegetable and vegetable food groups consistently contained higher median micronutrient concentrations compared to other plant based food groups. Overall, calculated deficiency rates were <1% for Cu and Mo and close to or >90% for Ca, Zn and I in both countries. For Mg, a slightly lower risk of deficiency was calculated for Tanzania at 0 to 1% across simplified soil classifications and for female/males, compared to 3 to 20% for Kenya. A significant difference was observed for Se, where a 3 to 28% risk of deficiency was calculated for Tanzania compared to 93 to 100% in Kenya. Overall, 11 soil predictor variables, including pH and organic matter accounted for a small proportion of the variance in the elemental concentration of food. Tanzanian drinking water presented several opportunities for delivering greater than 10% of the estimated average requirement (EAR) for micronutrients. For example, 1 to 56% of the EAR for I and up to 10% for Se or 37% for Zn could be contributed via drinking water.

Indexed as

DietCrops, AgriculturalDrinking WaterFood AnalysisHumansKenyaMicronutrientsMineralsSoilTanzaniaDrinking WaterMicronutrientsMineralsSoil

Identifiers

PMID31595016
PMCPMC6783437

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.