Household factors and under-five mortality in Bankass, Mali: results from a cross-sectional survey

被引:9
作者
Boettiger, David C. [1 ]
Treleaven, Emily [2 ]
Kayentao, Kassoum [3 ]
Guindo, Mahamadou [4 ]
Coumare, Mama [4 ]
Johnson, Ari D. [5 ]
Whidden, Caroline [6 ]
Kone, Naimatou [6 ]
Cisse, Amadou Beydi [6 ]
Padian, Nancy [7 ]
Liu, Jenny [8 ]
机构
[1] Univ New South Wales, Kirby Inst, Sydney, NSW 2252, Australia
[2] Univ Michigan, Populat Studies Ctr, Ann Arbor, MI 48109 USA
[3] Univ Sci Tech & Technol Bamako, Malaria Res & Training Ctr, Bamako, Mali
[4] Minis Sante & Affaires Soc, Bamako, Mali
[5] Univ Calif San Francisco, Dept Med, San Francisco, CA 94143 USA
[6] Muso, Bamako, Mali
[7] Univ Calif Berkeley, Sch Publ Hlth, Berkeley, CA 94720 USA
[8] Univ Calif San Francisco, Inst Hlth & Aging, San Francisco, CA 94143 USA
关键词
Under-five mortality; Household; Survey; Resource-limited; Mali;
D O I
10.1186/s12889-021-10242-9
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
BackgroundRural parts of Mali carry a disproportionate burden of the country's high under-five mortality rate. A range of household factors are associated with poor under-five health in resource-limited settings. However, it is unknown which most influence the under-five mortality rate in rural Mali. We aimed to describe household factors associated with under-five mortality in Bankass, a remote region in central Mali.MethodsWe analysed baseline household survey data from a trial being conducted in Bankass. The survey was administered to households between December 2016 and January 2017. Under-five deaths in the five years prior to baseline were documented along with detailed information on household factors and women's birth histories. Factors associated with under-five mortality were analysed using Cox regression.ResultsOur study population comprised of 17,408 under-five children from 8322 households. In the five years prior to baseline, the under-five mortality rate was 152.6 per 1000 live births (158.8 and 146.0 per 1000 live births for males and females, respectively). Living a greater distance from a primary health center was associated with a higher probability of under-five mortality for both males (adjusted hazard ratio [aHR] 1.53 for >= 10km versus <2km, 95% confidence interval [CI] 1.25-1.88) and females (aHR 1.59 for <greater than or equal to>10km versus <2km, 95% CI 1.27-1.99). Under-five male mortality was additionally associated with lower household wealth quintile (aHR 1.47 for poorest versus wealthiest, 95%CI 1.21-1.78), lower reading ability among women of reproductive age in the household (aHR 1.73 for cannot read versus can read, 95%CI 1.04-2.86), and living in a household with access to electricity (aHR 1.16 for access versus no access, 95%CI 1.00-1.34).ConclusionsU5 mortality is very high in Bankass and is associated with living a greater distance from healthcare and several other household factors that may be amenable to intervention or facilitate program targeting.
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页数:10
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共 38 条
[1]   Housing materials as predictors of under-five mortality in Nigeria: evidence from 2013 demographic and health survey [J].
Adebowale, Stephen Ayo ;
Morakinyo, Oyewale Mayowa ;
Ana, Godson Rowland .
BMC PEDIATRICS, 2017, 17
[2]  
[Anonymous], 2019, Household Air Pollution and Health
[3]   The Role of Wealth and Mother's Education in Infant and Child Mortality in 26 Sub-Saharan African Countries: Evidence from Pooled Demographic and Health Survey (DHS) Data 2003-2011 and African Development Indicators (ADI), 2012 [J].
Anyamele, Okechukwu Dennis ;
Ukawuilulu, John Obioma ;
Akanegbu, Benedict Ndubisi .
SOCIAL INDICATORS RESEARCH, 2017, 130 (03) :1125-1146
[4]  
Becher H, 2004, B WORLD HEALTH ORGAN, V82, P265
[5]   A Nationwide Comparison of Driving Distance Versus Straight-Line Distance to Hospitals [J].
Boscoe, Francis P. ;
Henry, Kevin A. ;
Zdeb, Michael S. .
PROFESSIONAL GEOGRAPHER, 2012, 64 (02) :188-196
[6]  
Central Census Bureau (Mali). National Institute of Statistics (INSTAT) (Mali), 2019, MALI POPULATION HOUS
[7]   National and regional under-5 mortality rate by economic status for low-income and middle-income countries: a systematic assessment [J].
Chao, Fengqing ;
You, Danzhen ;
Pedersen, Jon ;
Hug, Lucia ;
Alkema, Leontine .
LANCET GLOBAL HEALTH, 2018, 6 (05) :E535-E547
[8]   Effect of community based interventions on childhood diarrhea and pneumonia: uptake of treatment modalities and impact on mortality [J].
Das, Jai K. ;
Lassi, Zohra S. ;
Salam, Rehana A. ;
Bhutta, Zulfiqar A. .
BMC PUBLIC HEALTH, 2013, 13
[9]   The impact of distance of residence from a peripheral health facility on pediatric health utilisation in rural western Kenya [J].
Feikin, Daniel R. ;
Nguyen, Ly Minh ;
Adazu, Kubaje ;
Ombok, Maurice ;
Audi, Allan ;
Slutsker, Laurence ;
Lindblade, Kim A. .
TROPICAL MEDICINE & INTERNATIONAL HEALTH, 2009, 14 (01) :54-61
[10]   "These are not good things for other people to know": How rural Tanzanian women's experiences of pregnancy loss and early neonatal death may impact survey data quality [J].
Haws, Rachel A. ;
Mashasi, Irene ;
Mrisho, Mwifadhi ;
Schellenberg, Joanna Armstrong ;
Darmstadt, Gary L. ;
Winch, Peter J. .
SOCIAL SCIENCE & MEDICINE, 2010, 71 (10) :1764-1772