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Prevalence of abnormal birth weight and related factors in Northern region, Ghana

Overview of attention for article published in BMC Pregnancy and Childbirth, December 2015
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Title
Prevalence of abnormal birth weight and related factors in Northern region, Ghana
Published in
BMC Pregnancy and Childbirth, December 2015
DOI 10.1186/s12884-015-0790-y
Pubmed ID
Authors

Abdulai Abubakari, Gisela Kynast-Wolf, Albrecht Jahn

Abstract

Birth weight is a crucial determinant of the development potential of the newborn. Abnormal newborn weights are associated with negative effects on the health and survival of the baby and the mother. Therefore, this study was designed to determine the prevalence of abnormal birth weight and related factors in Northern region, Ghana. The study was a facility-based cross-sectional survey in five hospitals in Northern region, Ghana. These hospitals were selected based on the different socio-economic backgrounds of their clients. The data on birth weight and other factors were derived from hospital records. It was observed that low birth weight is still highly prevalent (29.6 %), while macrosomia (10.5 %) is also increasingly becoming important. There were marginal differences in low birth weight observed across public hospitals but marked difference in low birth weight was observed in Cienfuegos Suglo Specialist Hospital (Private hospital) as compared to the public hospitals. The private hospital also had the highest prevalence of macrosomia (20.1 %). Parity (0-1) (p < 0.001), female gender (p < 0.001) and location (rural) (p < 0.001) were significantly associated with decreased risk of macrosomic births. On the other hand, female infant sex (p < 0.001), residential status (rural) (p < 0.001) and parity (0-1) (p < 0.001) were significantly associated with increased risk of low birth weigh. Our findings show that under nutrition (low birth weight) and over nutrition (macrosomia) coexist among infants at birth in Northern region reflecting the double burden of malnutrition phenomenon, which is currently being experienced by developing and transition counties. Both low birth weight and macrosomia are risk factors, which could contribute considerably to the current and future burden of diseases. This may overstretch the already fragile health system in Ghana. Therefore, it is prudent to recommend that policies aiming at reducing diet related diseases should focus on addressing malnutrition during pregnancy and early life.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 325 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Ghana 1 <1%
Canada 1 <1%
Unknown 323 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 57 18%
Student > Bachelor 41 13%
Student > Postgraduate 28 9%
Researcher 23 7%
Student > Ph. D. Student 22 7%
Other 36 11%
Unknown 118 36%
Readers by discipline Count As %
Medicine and Dentistry 67 21%
Nursing and Health Professions 62 19%
Social Sciences 17 5%
Agricultural and Biological Sciences 11 3%
Biochemistry, Genetics and Molecular Biology 7 2%
Other 35 11%
Unknown 126 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 28 September 2016.
All research outputs
#20,414,746
of 22,965,074 outputs
Outputs from BMC Pregnancy and Childbirth
#3,824
of 4,222 outputs
Outputs of similar age
#328,257
of 390,927 outputs
Outputs of similar age from BMC Pregnancy and Childbirth
#72
of 73 outputs
Altmetric has tracked 22,965,074 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,222 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one is in the 1st percentile – i.e., 1% 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 390,927 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 73 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.