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Underweight and Associated Factors Among Teenage Adolescent Girls in Resource-poor Settings: A Cross-sectional Study

Overview of attention for article published in Risk Management and Healthcare Policy, January 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
99 Mendeley
Title
Underweight and Associated Factors Among Teenage Adolescent Girls in Resource-poor Settings: A Cross-sectional Study
Published in
Risk Management and Healthcare Policy, January 2021
DOI 10.2147/rmhp.s280499
Pubmed ID
Authors

Jitendra Kumar Singh, Dilaram Acharya, Divya Rani, Salila Gautam, Kalpana Thapa Bajgain, Bishnu Bahadur Bajgain, Ji-Hyuk Park, Seok-Ju Yoo, Thomas G Poder, Antoine Lewin, Kwan Lee

Abstract

Understanding the undernutrition status of teenage adolescent girls living in urban slums and its associated factors is meaningful to formulate customized health strategies. This study aimed to determine the prevalence of being underweight and associated factors among teenage adolescent girls in urban slums. In this cross-sectional study, we enrolled a total of 418 teenage adolescent girls from five of 210 urban slums of Varanasi district, Uttar Pradesh, India employing two-stage probability sampling for the selection of households and subjects, between September 2016 and July 2017. The study of underwight subjects was assessed with BMI for age using standard criteria. Factors associated with being underweight were determined by multivariable logistic regression analysis. Of 418 study subjects, 49.76% (208/418) were underweight. Results revealed that sociodemographic factors such as teenage adolescent girls who were from SC/ST (schedule caste/schedule tribe) caste/ethnicity (adjusted odds ratio (AOR)=2.02, 95%CI: 1.00-4.23), subjects whose father's education level was primary or lower (AOR=1.87, 95%CI: 1.12-3.11), and number of people in the family >4 (AOR=2.18, 95%CI: 1.18-4.03) were associated with being underweight. Likewise, dietary behavior-related factors such as vegetarian (AOR=2.21, 95%CI: 1.25-3.92), and <3 meals per day (AOR=2.36, 95%CI: 1.40-3.98) than their counterparts were associated with being underweight. In addition, teenage adolescent girls from food-insecure households (AOR=3.33, 95%CI: 2.01-5.51) were more likely to be underweight than those from food-secure households. The higher burden of underweight among teenage adolescent girls in Indian urban slums needs to be addressed through specific public health interventions such as by improving education, providing education regarding dietary behavior, and having access to sufficient, safe, and nutritious foods.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 99 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 14%
Student > Bachelor 9 9%
Researcher 8 8%
Lecturer 4 4%
Student > Postgraduate 3 3%
Other 7 7%
Unknown 54 55%
Readers by discipline Count As %
Nursing and Health Professions 20 20%
Medicine and Dentistry 6 6%
Social Sciences 4 4%
Unspecified 3 3%
Environmental Science 2 2%
Other 9 9%
Unknown 55 56%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 March 2023.
All research outputs
#4,839,541
of 25,387,668 outputs
Outputs from Risk Management and Healthcare Policy
#147
of 736 outputs
Outputs of similar age
#123,273
of 519,506 outputs
Outputs of similar age from Risk Management and Healthcare Policy
#15
of 59 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 736 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.9. This one has done well, scoring higher than 76% 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 519,506 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 74% of its contemporaries.
We're also able to compare this research output to 59 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 72% of its contemporaries.