Trends and risk factors for non-communicable diseases mortality in Nairobi slums (2008-2017).
Informal settlements
Kenya
NCD mortality trends
Risk factors
Journal
Global epidemiology
ISSN: 2590-1133
Titre abrégé: Glob Epidemiol
Pays: United States
ID NLM: 101759263
Informations de publication
Date de publication:
Nov 2021
Nov 2021
Historique:
received:
18
11
2020
revised:
17
02
2021
accepted:
17
02
2021
entrez:
3
1
2022
pubmed:
4
1
2022
medline:
4
1
2022
Statut:
ppublish
Résumé
Tracking progress in reaching global targets for reducing premature mortality from non-communicable diseases (NCDs) requires accurately collected population based longitudinal data. However, most African countries lack such data because of weak or non-existent civil registration systems. We used data from the Nairobi Urban Health and Demographic Surveillance System (NUDSS) to estimate NCD mortality trends over time and to explore the determinants of NCD mortality. Deaths identified in the NUHDSS were followed up with a verbal autopsy to determine the signs and symptoms preceding the death. Causes of death were then assigned using InSilicoVA algorithm. We calculated the rates of NCD mortality in the whole NUHDSS population between 2008 and 2017, looking at how these changed over time. We then merged NCD survey data collected in 2008, which contains information on potential determinants of NCD mortality in a sub-sample of the NUHDSS population, with follow up information from the full NUHDSS including whether any of the participants died of an NCD or non-NCD cause. Poisson regression models were used to identify independent risk factors (broadly categorized as socio-demographic, behavioural and physiological) for NCD mortality, as well as non-NCD mortality. In the total NUHDSS population of adults age 18 and over, 23% were assigned an NCD as the most likely cause of death. There was evidence that NCD mortality decreased over the study period, with rates of NCD mortality dropping from 1.32 per 1000 person years in 2008-10 (95% CI: 1.13-1.54) to 0.93 per 1000 person years in 2014-17 (95% CI: 0.80-1.08). Of 5115 individuals who participated in the NCD survey in 2008, 421 died during the follow-up period of which 43% were attributed to NCDs. Increasing age, lower education levels, ever smoking and having high blood pressure were identified as independent determinants of NCD mortality in multivariate analyses. We found that NCDs account for one-quarter of mortality in Nairobi slums, although we document a reduction in the rate of NCD mortality over time. This may be attributed to increased surveillance and introduction of population-wide NCD interventions and health system improvements from research activities in the slums. To achieve further decline there is a need to strengthen health systems to respond to NCD care and prevention along with addressing social factors such as education.
Identifiants
pubmed: 34977550
doi: 10.1016/j.gloepi.2021.100049
pii: S2590-1133(21)00002-X
pmc: PMC8683743
doi:
Types de publication
Journal Article
Langues
eng
Pagination
100049Subventions
Organisme : Medical Research Council
ID : MR/P023851/1
Pays : United Kingdom
Informations de copyright
© 2021 The Authors.
Déclaration de conflit d'intérêts
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Références
Eur J Public Health. 2008 Oct;18(5):466-72
pubmed: 18628318
Int J Epidemiol. 1997 Feb;26(1):224-7
pubmed: 9126524
Arch Intern Med. 1993 May 10;153(9):1065-73
pubmed: 8481074
J Am Geriatr Soc. 1991 May;39(5):455-61
pubmed: 2022796
Glob Health Action. 2016 Mar 24;9:30922
pubmed: 27019347
Natl Med J India. 2007 May-Jun;20(3):115-20
pubmed: 17867614
Stroke. 2015 May;46(5):e121-2
pubmed: 25873596
BMC Public Health. 2013 Apr 20;13:371
pubmed: 23601475
Glob Health Action. 2014 Oct 29;7:25533
pubmed: 25377336
Bull World Health Organ. 2006 Dec;84(12):940-8
pubmed: 17242829
J Epidemiol Community Health. 2016 Apr;70(4):346-53
pubmed: 26511887
Curr Diab Rep. 2019 Jun 20;19(7):44
pubmed: 31222515
J Hypertens. 2013 May;31(5):1018-24
pubmed: 23425703
Diabetes Care. 2015 Aug;38(8):1518-27
pubmed: 25972573
Circulation. 2002 Dec 17;106(25):3143-421
pubmed: 12485966
BMJ. 1995 Aug 19;311(7003):471-7
pubmed: 7647641
BMJ Glob Health. 2018 Feb 19;3(1):e000535
pubmed: 29527342
SSM Popul Health. 2017 Feb 02;3:227-235
pubmed: 29349220
Obes Rev. 2008 Sep;9(5):400-8
pubmed: 18627500
PLoS Med. 2018 Jan 10;15(1):e1002486
pubmed: 29320495
Glob Health Action. 2018;11(sup2):1507133
pubmed: 30259792
PLoS One. 2014 Dec 10;9(12):e113780
pubmed: 25493649
Am J Trop Med Hyg. 2003 Apr;68(4 Suppl):30-7
pubmed: 12749483
Epidemiology. 2005 Nov;16(6):780-5
pubmed: 16222168
Lancet. 2012 Dec 15;380(9859):2224-60
pubmed: 23245609
Glob Health Action. 2015 Sep 16;8:28697
pubmed: 26385542
Trop Med Int Health. 2013 Dec;18(12):1520-30
pubmed: 24118454
Arch Intern Med. 2004 Nov 8;164(20):2206-16
pubmed: 15534156
J Sport Health Sci. 2019 May;8(3):201-217
pubmed: 31193280
Glob Health Action. 2014 Oct 29;7:25365
pubmed: 25377326
BMC Public Health. 2020 Jun 22;20(1):981
pubmed: 32571277
BMC Public Health. 2009 Dec 15;9:465
pubmed: 20003478
Lancet. 2007 Nov 3;370(9598):1569-77
pubmed: 17992727
Eur Heart J. 1992 Dec;13 Suppl G:34-42
pubmed: 1486903
Popul Health Metr. 2010 Jun 29;8:21
pubmed: 20587026
PLoS One. 2017 Dec 13;12(12):e0188968
pubmed: 29236741
BMC Health Serv Res. 2015 Aug 15;15:330
pubmed: 26275608
Lancet. 2015 Feb 7;385(9967):549-62
pubmed: 25468153
Health Policy Plan. 2006 Nov;21(6):459-68
pubmed: 17030551
Glob Heart. 2020 Apr 10;15(1):33
pubmed: 32489806