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Maternal profiles and social determinants of malnutrition and the MDGs: What have we learnt?

Overview of attention for article published in BMC Public Health, March 2016
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  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

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1 policy source
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1 X user

Citations

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39 Dimensions

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393 Mendeley
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Title
Maternal profiles and social determinants of malnutrition and the MDGs: What have we learnt?
Published in
BMC Public Health, March 2016
DOI 10.1186/s12889-016-2853-z
Pubmed ID
Authors

Edem M. A. Tette, Eric K. Sifah, Edmund T. Nartey, Peter Nuro-Ameyaw, Pricilla Tete-Donkor, Richard B. Biritwum

Abstract

Maternal socio-demographic and health profiles are important determinants of malnutrition in children. In the 1990s, malnutrition was associated with low-birth-weight, young mothers and low maternal socio-economic status at Princess Marie Louise Children's Hospital (PML). It is not known how this has changed by efforts to achieve the Millennium Development Goals. We examined socio-demographic and health profiles of mothers of children with acute malnutrition and those without the condition to identify risk factors for malnutrition and focus on preventive efforts. An unmatched case-control study was conducted in 2013 at PML, the largest facility for treating malnourished children in Ghana in 2013. Mothers of children with moderate and severe acute malnutrition were compared with mothers of well-nourished children. Weight-for-height was used to classify malnutrition. Record forms and a semi-structured questionnaire were used for data collection. An analysis was done with Stata 11.0 software. Altogether, 371 mothers were studied consisting of 182 mothers of malnourished children and 189 mothers of well-nourished children. Mothers of malnourished children were more likely to be unmarried or cohabiting, have lower family incomes, HIV infection and chronic disease. They were less likely to stay with or provide alternative care for their child. Awareness and use of social services, health insurance and a cash transfer programme were low. A remarkable reduction in the number of malnourished children occurred when families earned more than $250 USD a month. Over-nutrition was present in both groups of mothers. Low family income, unmarried status and type of child care were the main social determinants of malnutrition. There appears to be a reduction in the number of other poor socio-demographic characteristics in both the study and control groups compared to results from a previous study at the same centre, probably because of efforts toward attaining the MDGs. These findings suggest that prevention and optimum management need to involve multidisciplinary teams consisting of health professionals, social workers and/or key workers to enable families at risk to access social care and social protection interventions (MDG 1). This will make the management of malnutrition more effective, prevent relapse, protect the next child and address maternal over-nutrition.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 393 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Ghana 1 <1%
Unknown 391 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 77 20%
Student > Bachelor 43 11%
Researcher 36 9%
Student > Postgraduate 34 9%
Student > Ph. D. Student 29 7%
Other 64 16%
Unknown 110 28%
Readers by discipline Count As %
Medicine and Dentistry 80 20%
Nursing and Health Professions 77 20%
Social Sciences 33 8%
Agricultural and Biological Sciences 21 5%
Economics, Econometrics and Finance 11 3%
Other 52 13%
Unknown 119 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 May 2021.
All research outputs
#7,003,498
of 22,947,506 outputs
Outputs from BMC Public Health
#7,386
of 14,955 outputs
Outputs of similar age
#97,229
of 298,938 outputs
Outputs of similar age from BMC Public Health
#106
of 227 outputs
Altmetric has tracked 22,947,506 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 14,955 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 298,938 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 227 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.