Jan 2026· Anemia· Vol 2026· 0 citations· 43 references
Medicine
TL;DR
As a preventable and treatable condition with significant impacts on quality of life and pregnancy outcomes, it warrants greater clinical and public health attention, particularly among non‐Hispanic Black women, Hispanic women, women with obesity, and those experiencing socioeconomic disadvantages.
Abstract
Introduction Iron deficiency (ID) and iron‐deficiency anemia (IDA) remain highly prevalent among U.S. reproductive‐age women, with substantial racial, ethnic, and socioeconomic disparities. This study examined the contemporary burden of ID and IDA among U.S. reproductive‐age women using inflammation‐adjusted diagnostic criteria and an explicit health equity framework. Methods Cross‐sectional analysis of 3322 women aged 18–49 years from the National Health and Nutrition Examination Survey (2015–2023). ID and IDA were defined using World Health Organization 2020 inflammation‐adjusted ferritin thresholds incorporating C‐reactive protein. Multivariable logistic regression examined associations between sociodemographic factors and iron status outcomes. Results Among nonpregnant women (n = 3156), 27.4% had ID and 8% had IDA. Among pregnant women (n = 166), 75.5% had ID and 8.3% had IDA. Non‐Hispanic Black women had 2.8‐fold higher odds of IDA (adjusted odds ratio [aOR] 2.8, 95% CI 1.6, 4.9). Obesity was independently associated with ID (aOR 2.4, 95% CI 1.86, 3.24) in nonpregnant women and pregnant women (aOR 4.5, 95% CI 1.08, 18.76). Racial and ethnic disparities persisted after adjustment for education, income, and food security. Conclusions ID and IDA remain highly prevalent among U.S. reproductive‐age women, with substantial and persistent racial, ethnic, and socioeconomic disparities. As a preventable and treatable condition with significant impacts on quality of life and pregnancy outcomes, it warrants greater clinical and public health attention, particularly among non‐Hispanic Black women, Hispanic women, women with obesity, and those experiencing socioeconomic disadvantages.
It is suggested that inflammation associated with adiposity may alter iron biomarkers, and reliance on BMI alone may obscure the true burden of iron deficiency in this population of women of reproductive age.
Qonita Rachmah, H. Phung, Faruk Ahmed· Nutrients· 0 citations
OBJECTIVE
To estimate the prevalence and severity of postpartum anemia among Indian women within 6 months of delivery and identify associated socioeconomic, healthcare, and geographic factors.
METHODS
This cross-sectional secondary analysis used data from NFHS-5 (Fifth National Family Health Survey, 2019-2021). Women...
R. Ramachandran, Muthulakshmi Chellaswamy, Jeyagowri Subash et al.· International journal of gyn...· 0 citations
Low maternal education, the poorest wealth quintile, Scheduled Caste or Tribe membership, rural residence, higher parity, and short birth spacing carried higher odds of anemia, and Coverage of iron and folic acid supplementation stayed low in both states.
Tara Verma, D. Banerjee, Arjun· Jurnal Gizi dan Teknologi Pa...· 1 citation
Beyond confirming the female burden, this review consolidates fragmented national evidence, appraises its quality, and translates the findings into targeted recommendations: dietary counseling to address local inhibitors of iron absorption, screening during peak-risk periods, and integration with existing premarital sc...
F. Algahtani, Hatoon Ezzat, M. Alabdulaali et al.· Journal of Clinical Medicine· 0 citations
There was a positive association between wealth status and health insurance enrollment among women of reproductive age in Tanzania and the government and other stakeholders should design targeted interventions, including linking households to social protection programs such as the Tanzania Social Action Fund (TASAF), t...
Alphoncina Kagaigai, Malale Tungu, Novatus Julius Bihemo et al.· Frontiers in Health Services· 0 citations
Findings reveal substantial hidden burden of micronutrient deficiency in apparently healthy Indian infants, underscoring the limitations of growth-based screening and the need for proactive multi-micronutrient strategies during routine child health visits.
Mounika Reddy, Rashmi Kundapur, Badam Vyshnavi et al.· Indian Journal of Pediatrics· 0 citations
A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.