ArticleFrontiers in public health2025
Determinants associated with anemia level among children under 5 years in Gambia: a structural equation modelling approach.
Article in Frontiers in 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.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Anemia remains a public health concern globally in industrialized and developing nations, especially for children under five. It is still the leading cause of illness and mortality, which is harmful, especially in children from developing countries. Furthermore, children's emotional, physical, and mental health can be negatively impacted by anemia if it is not addressed promptly. Researchers have unraveled the intricate relationships between components using Structural Equation Modelling (SEM). Objective: Therefore, using anemia as the main variable, this study intends to use SEM to investigate the association between socioeconomic and household resources and the anemic health status of under-five children in Gambia. The Demographic Health Survey website provided the data for this investigation. Methods: Twenty-one factors were included in the observations 8,362 utilized in this study and categorized into socioeconomic factors, child's environmental factors, and household resources. These variables are sex, type of place of residence, marital status, anemia level, type of toilet facility, location of water source, income status, place of residence, month of birth, state, sources of drinking water, and the respondents' highest level of education. The model specification for the SEM model used shows anemia status level as the dependent variable against income status, parent's highest educational level, parent's sex, location of source of water, number of eligible children, state, source of drinking water, parent's marital status, child's age and location of toilet facility of the respondents. Results: The results indicate that parental educational attainment significantly influences children's hemoglobin levels. The findings indicate that the following factors significantly affect children's anemia levels: housing location, type of restroom, gender, highest level of education, water source location, marital status, drinking water source, state, number of eligible children, and income status at Unique contribution: The present study has a unique impact of socio-economic factors and human resources on anemia. It would be helpful to consider factors with policy implications for the betterment of anemia patients' wellbeing.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.