ArticleAfrican health sciences2024
Spatial analysis and associated factors of underweight, overweight and obesity among non-pregnant women of reproductive age in Zambia.
Article in African health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Spatial variations and predictors of neonatal mortality among births to HIV-infected and non-infected mothers in rural Zambia.PLOS global public health · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Malnutrition in women in reproductive age (WRA) is associated with distinct types of public health problems such as preterm birth, low birth weight, malnourished children, poor psychological health and high mortality. The study aimed at investigating the risk factors associated with underweight, overweight and obesity among WRA and map their spatial distribution. Methods: The study used the 2013/2014 Zambia Demographic Health Survey (ZDHS) data and survey proportional odds model was fitted to the data. Spatial effects were modeled using Quantum Geographic Information System (QGIS) version 2.18.1 to develop univariate choropleth maps. Results: 14,377 WRA were enrolled into the study. Overweight was more prevalent (15.87%) compared to underweight (10.22%) and obesity (6.47%). The findings revealed that a higher wealth index, age, having a car, using contraceptives, being married or divorced similarly increased the odds of being at or beyond a particular category of nutrition status. The spatial analysis also suggested Lusaka and Copperbelt were more prone to overweight and obesity, whereas Western had increased prevalence of underweight. Conclusion: Appropriate nutritional and economic programs are highly recommended in specific provinces of Zambia. Programs to curb overweight and obesity should be directed more to Lusaka and Copperbelt while underweight programs to Western province.
Indexed as
Identifiers
What Socratic 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 Socratic graph.