SynthesisJournal of health, population, and nutrition2024
Uncovering the hidden health burden: a systematic review and meta-analysis of iron deficiency anemia among adolescents, and pregnant women in Pakistan.
Synthesis in Journal of health, population, and nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Anaemia Prevention Among Adolescent Girls in Lodhran, Punjab, Pakistan: A School-Based Weekly Iron-Folic Acid Supplementation Pilot Program.Nutrients · 2026Article
- Double burden of malnutrition: Prevalence of anemia among children with severe acute malnutrition in Tharparkar, Pakistan.BMC pediatrics · 2026Article
- Nexus between sociocultural practices and maternal mortality in Pakistan: a geospatial analysis using Spatial Durbin model and multiscale geographically weighted regression.BMC public health · 2026Article
- An Updated Review on Iron Deficiency Anemia: From Epidemiology to Diagnosis, Etiology, Prevention and Treatment.Journal of blood medicine · 2026Review
- Frequency and determinants of hypoferritinemia without anemia among reproductive age women in Lahore: A cross-sectional study.Pakistan journal of medical sciences · 2025Article
- The Effectiveness of Nutritional Interventions on Maternal and Childhood Anaemia in Sindh, Pakistan.Nutrients · 2025Article
- Iron deficiency anemia in pregnancy and related complications with specific insight in Rivers State, Nigeria: a narrative review.Annals of medicine and surgery (2012) · 2025Review
- A silent crisis: two decades of anaemia trends among women in the Eastern Mediterranean Region (2000-2019).Archives of medical science : AMS · 2025Article
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11 authors.
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Abstract
introductionIron deficiency anemia (IDA) is the most prevalent diet-related disorder and mainly affects women and children. To determine the trend of anemia incidence in Pakistan, a current review was carried out. This review aimed to estimate the prevalence of anemia among pregnant women and adult/adolescent nonpregnant women in Pakistan and to provide a 15-year trend analysis. MATERIALS AND
methodsStudies were identified by searching PubMed, Google Scholar, Scopus, and Science Direct, complementing this digital exploration, and a manual review of reference lists from previously published prevalence studies was performed to enhance the scope of relevant articles. A total of twenty-seven population-based anemia studies on adolescent/adult females and pregnant women published in Pakistan from January 1st-2007 until December 2021 were included. Systematic data extraction was facilitated through the implementation of a standardized and rigorously pretested data extraction checklist. For the subsequent analysis, the sophisticated capabilities of R statistical software were harnessed. The I
resultsThe final analysis included 27 research articles as well as two extensive National Nutrition survey reports, NNS 2011 and NNS 2018. The forest plot of sixteen studies on pregnant women revealed that the overall pooled prevalence of anemia among pregnant females in Pakistan was 70.4% (95% CI: 0.619, 0.789), and the forest plot of eleven studies on non-pregnant adolescent and adult females reported the pooled prevalence was 54.6% (95% CI: 0.422, 0.669). Subgroup analysis among pregnant women based on region, trimester and socioeconomic status revealed that the highest anemia incidence was observed in Punjab (77.4%). Similarly, females in the second trimester reported a higher prevalence of anemia 78% (95% CI, 0.556 1.015), and the status-wise group with a mixed background reported a higher prevalence 72.8% (95% CI, 0.620 0.835). According to the subgroup analysis, eleven studies of adult nonpregnant groups of mixed socioeconomic status reported a higher prevalence of 56.9% (95% CI, 0.292 0.845).
conclusionIn Pakistan, anemia, is widespread among pregnant women and nonpregnant adolescent/adult females. A deeper understanding of anemia in Pakistani women is necessary for targeted interventions and policy decisions to predict demographic shifts.
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