Population-Modifiable Risk Factors Associated With Childhood Stunting in Sub-Saharan Africa

Author:

Ahmed Kedir Y.1,Dadi Abel F.23,Ogbo Felix Akpojene45,Page Andrew5,Agho Kingsley E.56,Akalu Temesgen Yihunie789,Baraki Adhanom Gebreegziabher910,Tesema Getayeneh Antehunegn911,Teshale Achamyeleh Birhanu911,Alamneh Tesfa Sewunet912,Tessema Zemenu Tadesse911,Kabthymer Robel Hussen1314,Tamirat Koku Sisay915,Ross Allen G.1

Affiliation:

1. Rural Health Research Institute, Charles Sturt University, Orange, New South Wales, Australia

2. Charles Darwin University, Menzies School of Health Research, Northern Territory, Australia

3. Addis Continental Institute of Public Health, Addis Ababa, Ethiopia

4. Riverland Academy of Clinical Excellence, Riverland Mallee Coorong Local Health Network, South Australia Health, Government of South Australia, Berri, South Australia, Australia

5. Translational Health Research Institute, Western Sydney University, Campbelltown Campus, Penrith, New South Wales, Australia

6. School of Health Sciences, Western Sydney University, Campbelltown Campus, Penrith, New South Wales, Australia

7. School of Population Health, Faculty of Health Sciences, Curtin University, Bentley, Western Australia, Australia

8. Geospatial and Tuberculosis Research Team, Telethon Kids Institute, Perth, Western Australia, Australia

9. Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia

10. School of Rehabilitation Therapy, Queen’s University, Kingston, Ontario, Canada

11. School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia

12. Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom

13. Department of Medicine, School of Clinical Sciences, Monash University, Melbourne, Victoria, Australia

14. Department of Human Nutrition, School of Public Health, Dilla University, Dilla, Ethiopia

15. School of Rural Health, Monash University, Warragul, Victoria, Australia

Abstract

ImportanceIdentifying modifiable risk factors associated with childhood stunting in sub-Saharan Africa (SSA) is imperative for the development of evidence-based interventions and to achieve the Sustainable Development Goals.ObjectiveTo evaluate key modifiable risk factors associated with childhood stunting in SSA.Design, Setting, and ParticipantsThis cross-sectional study examined the most recent (2014-2021) Demographic and Health Surveys data for children younger than 5 years from 25 SSA countries.ExposuresModifiable risk factors included history of diarrhea within 2 weeks, consumption of dairy products, maternal body mass index, maternal educational level, antenatal care visits, place of birth, wealth index, type of toilet, and type of cooking fuel.Main Outcomes and MeasuresStunting and severe stunting, measured using the height-for-age z score, were the main outcomes. Children who scored below −2.0 SDs or −3.0 SDs were classified as having stunted or severely stunted growth, respectively. Relative risks and 95% CIs were computed using generalized linear latent and mixed models and log-binomial link functions. Population-attributable fractions (PAFs) were calculated using adjusted relative risks and prevalence estimates for key modifiable risk factors.ResultsThis study included 145 900 children from 25 SSA countries. The mean (SD) age of the children was 29.4 (17.3) months, and 50.6% were male. The highest PAFs of severe childhood stunting were observed for mothers lacking a formal education (PAF, 21.9%; 95% CI, 19.0%-24.8%), children lacking consumption of dairy products (PAF, 20.8%; 95% CI, 16.8%-24.9%), unclean cooking fuel (PAF, 9.5%; 95% CI, 2.6%-16.3%), home birth (PAF, 8.3%; 95% CI, 6.3%-10.0%), and low-income household (PAF, 5.8%; 95% CI, 3.4%-8.0%). These 5 modifiable risk factors were associated with 51.6% (95% CI, 40.5%-60.9%) of the severe childhood stunting in SSA.Conclusions and RelevanceThis cross-sectional study identified 5 modifiable risk factors that were associated with 51.6% of severe childhood stunting in SSA. These factors should be a priority for policy makers when considering future child health interventions to address chronic malnutrition in SSA.

Publisher

American Medical Association (AMA)

Subject

General Medicine

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