PubHawk
October 2022 PMID 36962596

Approaches to quantify the contribution of multiple anemia risk factors in children and women from cross-sectional national surveys.

Yi-An Ko, Anne M Williams, Janet M Peerson, Hanqi Luo, Rafael Flores-Ayala, James P Wirth, Reina Engle-Stone, Melissa F Young, Parminder S Suchdev

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Mentions

4
Peak: 2 in Mar 2023
across 2 sources since Mar 2023

Extended reach

1,222
potential audience

Total likes

0

Video views

9

Mentions per month

Mar 2023 – Jun 2023

Where it's discussed

  • X / Twitter3 posts
  • YouTube1 videos

AI synopsis

What people are saying

The discussions emphasize the significance of the research through phrases like 'approaches to quantify the contribution' and hashtags such as #BioIron, indicating interest in iron-related health issues. The limited tone and shallow engagement reflect a basic acknowledgment of the study's importance without detailed critique or exploration.

AgreementModerate agreement

Most discussions recognize the importance of accurately assessing anemia risk factors, aligning with the publication's focus on statistical methods.

InterestModerate interest

Participants show moderate interest, with mentions of relevance to public health and iron biology, but limited personal engagement.

EngagementNeutral engagement

Overall, the discussions are fairly surface-level, primarily sharing titles and hashtags without deep analysis.

ImpactModerate impact

The posts suggest awareness that the research has implications for health assessments, but there is little evidence of meaningful change or application being discussed.

Abstract in brief

  • This study compares different statistical methods to estimate the attributable fractions (AF) of anemia caused by factors like inflammation, malaria, and micronutrient deficiencies in children and women using national survey data.
  • The researchers found that using odds ratios (OR) often overestimates AF compared to prevalence ratios (PR), especially in certain cases, with adjusted AF estimates being more consistent across methods.
  • Overall, iron deficiency, inflammation, and malaria significantly contribute to anemia, with their estimated AF varying between children and women, highlighting the importance of selecting proper statistical approaches for accurate public health assessments.
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Top posts

Most liked on X and Bluesky
Vitamin A papers
@vitamin_A_paper · X

Approaches to quantify the contribution of multiple anemia risk factors in children and women from cross-sectional national surveys https://t.co/xomWWbTjrc https://t.co/mAYf0WuCKX

Mar 25, 2023 · 633 followers View post →
IronBiologyBot
@IronBiologyBot · X

Approaches to quantify the contribution of multiple anemia risk factors in children and women from cross-sectional national surveys https://t.co/8w0T3UqVEo #IronBiology #BioIron #Iron

Mar 25, 2023 · 1 share · 288 followers View post →

All mentions

IronBiologyBot
@IronBiologyBot · X

RT @IronBiologyBot: Approaches to quantify the contribution of multiple anemia risk factors in children and women from cross-sectional nati…

Apr 1, 2023 · 1 share · 288 followers View post →
Vitamin A papers
@vitamin_A_paper · X

Approaches to quantify the contribution of multiple anemia risk factors in children and women from cross-sectional national surveys https://t.co/xomWWbTjrc https://t.co/mAYf0WuCKX

Mar 25, 2023 · 633 followers View post →
IronBiologyBot
@IronBiologyBot · X

Approaches to quantify the contribution of multiple anemia risk factors in children and women from cross-sectional national surveys https://t.co/8w0T3UqVEo #IronBiology #BioIron #Iron

Mar 25, 2023 · 1 share · 288 followers View post →