Your browser doesn't support javascript.
loading
Population modifiable risk factors associated with neonatal mortality in 35 sub-Saharan Africa countries: analysis of data from demographic and health surveys.
Ahmed, Kedir Y; Thapa, Subash; Hassen, Tahir A; Tegegne, Teketo Kassaw; Dadi, Abel F; Odo, Daniel Bogale; Bizuayehu, Habtamu Mellie; Shifti, Desalegn Markos; Belachew, Sewunet Admasu; Kibret, Getiye Dejenu; Ketema, Daniel Bekele; Kassa, Zemenu Yohannes; Amsalu, Erkihun; Bore, Meless G; Seid, Abdulbasit; Mesfin, Yonatan M; Kibret, Kelemu Tilahun; Huda, M Mamun; Mahmood, Shakeel; Anyasodor, Anayochukwu E; Ross, Allen G.
Affiliation
  • Ahmed KY; Rural Health Research Institute, Charles Sturt University, Orange, NSW 2800, Australia.
  • Thapa S; Rural Health Research Institute, Charles Sturt University, Orange, NSW 2800, Australia.
  • Hassen TA; Center for Women's Health Research, College of Health, Medicine and Wellbeing, The University of Newcastle, NSW, Australia.
  • Tegegne TK; Institute for Physical Activity and Nutrition, Deakin University, Geelong, VIC, Australia.
  • Dadi AF; Menzies School of Health Research, Charles Darwin University, Australia.
  • Odo DB; Addis Continental Institute of Public Health, Addis Ababa, Ethiopia.
  • Bizuayehu HM; National Centre for Aboriginal and Torres Strait Islander Wellbeing Research, National Centre for Epidemiology and Population Health, Australian National University, Canberra, ACT, Australia.
  • Shifti DM; First Nations Cancer and Wellbeing (FNCW) Research Program, School of Public Health, The University of Queensland, Qld, Australia.
  • Belachew SA; Child Health Research Centre, The University of Queensland, Qld, Australia.
  • Kibret GD; First Nations Cancer and Wellbeing (FNCW) Research Program, School of Public Health, The University of Queensland, Qld, Australia.
  • Ketema DB; Faculty of Medicine, Health and Human Sciences, Macquarie University, Australia.
  • Kassa ZY; The George Institute for Global Health, University of New South Wales (UNSW), Sydney, Australia.
  • Amsalu E; School of Public Health, College of Medicine and Health Science, Debre Markos University, Ethiopia.
  • Bore MG; College of Medicine and Health Sciences, Hawassa University, Hawassa, Ethiopia.
  • Seid A; School of Nursing and Midwifery, University of Technology Sydney, Sydney, Australia.
  • Mesfin YM; Sydney Medical School, Faculty of Medicine and Health, University of Sydney, Australia.
  • Kibret KT; St. Paul Hospital Millennium Medical College, Addis Ababa, Ethiopia.
  • Huda MM; School of Nursing and Midwifery, University of Technology Sydney, Sydney, Australia.
  • Mahmood S; School of Nursing, College of Medicine and Health Science, Hawassa University, Hawassa, Ethiopia.
  • Anyasodor AE; Australian Living Evidence Collaborations, School of Public Health and Prevention Medicine, Monash University, Australia.
  • Ross AG; SAEFVIC, Infection and Immunity, Murdoch Children's Research Institute, 50 Flemington Road, Parkville, VIC, Australia.
EClinicalMedicine ; 73: 102682, 2024 Jul.
Article in En | MEDLINE | ID: mdl-39007064
ABSTRACT

Background:

Sub-Saharan Africa (SSA) has the highest burden of neonatal mortality in the world. Identifying the most critical modifiable risk factors is imperative for reducing neonatal mortality rates. This study is the first to calculate population-attributable fractions (PAFs) for modifiable risk factors of neonatal mortality in SSA.

Methods:

We analysed the most recent Demographic and Health Surveys data sets from 35 SSA countries conducted between 2010 and 2022. Generalized linear latent and mixed models were used to estimate odds ratios (ORs) along with 95% confidence intervals (CIs). PAFs adjusted for communality were calculated using ORs and prevalence estimates for key modifiable risk factors. Subregional analyses were conducted to examine variations in modifiable risk factors for neonatal mortality across Central, Eastern, Southern, and Western SSA regions.

Findings:

In this study, we included 255,891 live births in the five years before the survey. The highest PAFs of neonatal mortality among singleton children were attributed to delayed initiation of breastfeeding (>1 h after birth PAF = 23.88%; 95% CI 15.91, 24.86), uncleaned cooking fuel (PAF = 5.27%; 95% CI 1.41, 8.73), mother's lacking formal education (PAF = 4.34%; 95% CI 1.15, 6.31), mother's lacking tetanus vaccination (PAF = 3.54%; 95% CI 1.55, 4.92), and infrequent antenatal care (ANC) visits (PAF = 2.45; 95% CI 0.76, 3.63). Together, these five modifiable risk factors were associated with 39.49% (95% CI 21.13, 48.44) of neonatal deaths among singleton children in SSA. Our subregional analyses revealed some variations in modifiable risk factors for neonatal mortality. Notably, delayed initiation of breastfeeding consistently contributed to the highest PAFs of neonatal mortality across all four regions of SSA Central, Eastern, Southern, and Western SSA.

Interpretation:

The PAF estimates in the present study indicate that a considerable proportion of neonatal deaths in SSA are preventable. We identified five modifiable risk factors that accounted for approximately 40% of neonatal deaths in SSA. The findings have policy implications.

Funding:

None.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: EClinicalMedicine Year: 2024 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: EClinicalMedicine Year: 2024 Document type: Article Affiliation country: