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The Effect of Early Marriages and Early Childbearing on Women’s Nutritional Status in India

Overview of attention for article published in Maternal and Child Health Journal, February 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

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2 news outlets
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1 policy source
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1 X user
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1 Google+ user

Citations

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mendeley
241 Mendeley
Title
The Effect of Early Marriages and Early Childbearing on Women’s Nutritional Status in India
Published in
Maternal and Child Health Journal, February 2015
DOI 10.1007/s10995-015-1700-7
Pubmed ID
Authors

Srinivas Goli, Anu Rammohan, Deepti Singh

Abstract

The consequences of early childbearing on the growth and nutritional status of women in India has not been quantified in previous studies. Our study aimed to fill this gap by analysing the association between early marriage and early childbearing on nutritional status of Indian women, with a focus on Bihar and Andhra Pradesh, the two states accounting for the highest proportion of women marrying and giving first birth before 18 years of age. Our findings revealed that a substantial number of women were married before 18 years and thereby exposed to early pregnancy. Furthermore, a significantly higher proportion of women in the 'thin' category were married before 18 years, both in the Indian sample (33 %, p < 0.001) and in the selected states, Andhra Pradesh (31 %, p < 0.001) and Bihar (43 %, p < 0.001), compared to those women married at higher ages. Similarly, across all our samples women whose first birth was before age 18 years also had a significantly higher probability of being in the 'thin' category across all our samples. This pattern was also observed for associations between early childbirth and anemia levels. We conclude that the net effect of the early age at marriage and age at first birth on nutritional status is significant. Our results underline the need for preventing early marriages and the consequent high adolescent pregnancies in India, particularly in high prevalence states. This will help to improve nutritional status and health care utilisation among women, thereby, prevent maternal and child mortality and thus, achieve the MDGs 4-5.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 241 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 2 <1%
Unknown 239 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 41 17%
Student > Bachelor 31 13%
Student > Ph. D. Student 21 9%
Researcher 15 6%
Student > Doctoral Student 11 5%
Other 37 15%
Unknown 85 35%
Readers by discipline Count As %
Nursing and Health Professions 48 20%
Social Sciences 39 16%
Medicine and Dentistry 21 9%
Psychology 8 3%
Economics, Econometrics and Finance 7 3%
Other 25 10%
Unknown 93 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 March 2023.
All research outputs
#1,581,351
of 23,906,448 outputs
Outputs from Maternal and Child Health Journal
#145
of 2,039 outputs
Outputs of similar age
#23,091
of 358,379 outputs
Outputs of similar age from Maternal and Child Health Journal
#2
of 45 outputs
Altmetric has tracked 23,906,448 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,039 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one has done particularly well, scoring higher than 92% of its peers.
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 358,379 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.