Back

Spatial patterns and determinants of Anemia in women of reproductive age in Zambia (2018-2024): A multilevel ordinal regression approach

Muchinga, J.; Moonga, G.; Mukumbuta, N.; Musonda, P.

2026-04-01 epidemiology
10.64898/2026.03.30.26349744 medRxiv
Show abstract

Abstract Background Anemia is a condition characterized by nutritional deficiencies and blood disorders, predominantly affecting children aged 6 to 59 months and women of reproductive age, especially in low and middle-income countries. In Zambia, anemia is a public health problem. This study aims to assess the spatial patterns and determine factors associated with anemia severity in Zambia over six years (2018 to 2024). Method The study included a total of 19,362 WRA from the two waves of the ZDHS, 2018 and 2024. The ZDHS is a periodic national survey that uses multistage sampling. We adopted an analytical cross-sectional design, and the three-level multivariable ordinal logistic regression model was used to identify variables (individual, household, and community level) associated with anemia severity. Global Morans I, Local Morans I, and Getis-Ord Gi* statistics were used to determine the hotspots and spatial patterns, while spatial scan statistics were used to detect primary and secondary clusters and their distribution over the two cycles. Results The prevalence of anemia among women of reproductive age in Zambia was 31.0% (n=3,946) and 30.4% (n=2,015) in 2018 and 2024, respectively. The factors associated with higher odds of anemia severity were HIV status (HIV-positive: AOR=2.63, 95% CI:2.25,3.09), pregnancy (AOR=1.96, 95% CI:1.67,2.31), and rural residency (AOR=1.21, 95% CI:1.08,1.35). While being in a union was protective compared to never being in a union (AOR=0.66, 95% CI:0.57,0.77), not having financial barriers for medical assistance was equally protective. Spatial analysis showed geographic disparities and a non-random distribution of anemia (Global Morans I, 2018: I=0.147, p<0.001; 2024: I=0.130, p<0.001). the Hotspot analysis depicted an expansion of high-risk areas Western in 2018 to the North-Western and Luapula in 2024. Spatial scan analysis identified the south-west region (Western, Southern and North-Western) as the significant primary cluster of anemia consistently for both waves.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

1
PLOS Global Public Health
293 papers in training set
Top 0.2%
26.8%
2
PLOS ONE
4510 papers in training set
Top 8%
19.6%
3
BMC Infectious Diseases
118 papers in training set
Top 0.4%
5.1%
50% of probability mass above
4
BMC Public Health
147 papers in training set
Top 1%
4.4%
5
Journal of Clinical Medicine
91 papers in training set
Top 2%
2.5%
6
The American Journal of Tropical Medicine and Hygiene
60 papers in training set
Top 2%
2.0%
7
Nutrients
64 papers in training set
Top 0.9%
1.8%
8
BMJ Open
554 papers in training set
Top 10%
1.6%
9
BMJ Global Health
98 papers in training set
Top 2%
1.6%
10
Scientific Reports
3102 papers in training set
Top 61%
1.6%
11
Journal of Global Health
18 papers in training set
Top 0.3%
1.6%
12
BMC Nephrology
13 papers in training set
Top 0.2%
1.3%
13
Epidemiology and Infection
84 papers in training set
Top 2%
1.3%
14
eLife
5422 papers in training set
Top 54%
0.8%
15
PLOS Medicine
98 papers in training set
Top 4%
0.8%
16
IJID Regions
10 papers in training set
Top 0.2%
0.8%
17
Journal of the American Heart Association
119 papers in training set
Top 4%
0.7%
18
BMJ Public Health
18 papers in training set
Top 0.8%
0.7%
19
Frontiers in Medicine
113 papers in training set
Top 8%
0.7%
20
AIDS and Behavior
14 papers in training set
Top 0.4%
0.7%
21
Frontiers in Public Health
140 papers in training set
Top 9%
0.7%
22
PLOS Neglected Tropical Diseases
378 papers in training set
Top 6%
0.5%
23
Journal of Racial and Ethnic Health Disparities
11 papers in training set
Top 0.6%
0.5%
24
The Lancet Global Health
24 papers in training set
Top 1%
0.5%
25
Current Developments in Nutrition
15 papers in training set
Top 1%
0.5%
26
PeerJ
261 papers in training set
Top 18%
0.5%
27
BMC Medicine
163 papers in training set
Top 8%
0.5%