Evidence map›Paper›PMID 39930374›Full record

ArticleBMC public health2025

Association of iron status with visual field loss in US females: data from national health and nutrition examination survey (NHANES) 2005-2008.

Lun He, Jiang Zheng, Qi Shi, Lian Liu, Jingxiang Zhong, Xiangyin Sha

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Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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6 authors.

Lun HeDepartment of Ophthalmology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, 510260, China.
Jiang ZhengDepartment of Ophthalmology, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, 510630, China.
Qi ShiDepartment of Ophthalmology, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, 510630, China.
Lian LiuDepartment of Ophthalmology, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, 510630, China.
Jingxiang ZhongDepartment of Ophthalmology, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, 510630, China. zjx85221206@126.com.
Xiangyin ShaDepartment of Ophthalmology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, 510260, China. shaxiangyin@163.com.

Funding

The National Natural Science Foundation of China 81970806, 82271094
6 · The paper itself

Abstract

backgroundThe relationship between iron status and visual field loss (VFL) remains unclear. This study aimed to explore the potential association between iron deficiency (ID) and the prevalence of VFL among females aged 40-49 in the United States.

methodsData were extracted from the National Health and Nutrition Examination Survey (NHANES) conducted between 2005 and 2008. Participants provided detailed information on iron status and visual field measurements. Several statistical approaches, including survey-weighted logistic regression, restricted cubic spline (RCS) analysis, subgroup analysis, and sensitivity analysis, were employed to explore the association between iron status and VFL.

resultsAfter adjusting for potential confounding factors, a negative association was observed between transferrin saturation (TS) and the prevalence of VFL (odds ratio [OR] = 0.313, 95% confidence interval [CI] = 0.158-0.619, P = 0.010). Similarly, RCS analysis demonstrated a significant negative correlation between TS and VFL prevalence (P for overall = 0.017). ID, as defined by either the ferritin model (OR = 4.350, 95% CI = 1.702-11.114, P = 0.015) or the mean corpuscular volume (MCV) model (OR = 3.301, 95% CI = 1.066-10.219, P = 0.037), was associated with an increased risk of VFL.

conclusionsThis study revealed a negative association between TS and the prevalence of VFL among females aged 40-49 in the United States. Furthermore, ID, defined by both ferritin and MCV models, is linked to an elevated risk of VFL. Nevertheless, due to the limitations inherent in cross-sectional design, establishing a causal relationship between iron status and VFL remains challenging.

Indexed as

Anemia, Iron-DeficiencyIronIron DeficienciesVision DisordersVisual FieldsAdultCross-Sectional StudiesFemaleHumansMiddle AgedNutrition SurveysPrevalenceUnited StatesIronIron deficiencyIron statusNHANESVisual field loss

Identifiers

PMID39930374
PMCPMC11812178

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