Cited by 33Global Health and EpidemiologyHealthcare Systems and Public HealthInsurance, Mortality, Demography, Risk Management

Deaths Ascribed to Non-Communicable Diseases among Rural Kenyan Adults Are Proportionately Increasing: Evidence from a Health and Demographic Surveillance System, 2003–2010

Open access
Phillips-Howard, Penelope A., Laserson, Kayla F., Amek, Nyaguara, Beynon, Caryl M., Angell, Sonia Y., Khagayi, Sammy, Byass, Peter, Hamel, Mary J. +6 more·2014·PLoS ONE

Abstract

BACKGROUND: Non-communicable diseases (NCDs) result in more deaths globally than other causes. Monitoring systems require strengthening to attribute the NCD burden and deaths in low and middle-income countries (LMICs). Data from health and demographic surveillance systems (HDSS) can contribute towards this goal. METHODS AND FINDINGS: Between 2003 and 2010, 15,228 deaths in adults aged 15 years (y) and older were identified retrospectively using the HDSS census and verbal autopsy in rural western Kenya, attributed into broad categories using InterVA-4 computer algorithms; 37% were ascribed to NCDs, 60% to communicable diseases (CDs), 3% to injuries, and <1% maternal causes. Median age at death for NCDs was 66y and 71y for females and males, respectively, with 43% (39% male, 48% female) of NCD deaths occurring prematurely among adults aged below 65y. NCD deaths were mainly attributed to cancers (35%) and cardio-vascular diseases (CVDs; 29%). The proportionate mortality from NCDs rose from 35% in 2003 to 45% in 2010 (χ2 linear trend 93.4; p<0.001). While overall annual mortality rates (MRs) for NCDs fell, cancer-specific MRs rose from 200 to 262 per 100,000 population, mainly due to increasing deaths in adults aged 65y and older, and to respiratory neoplasms in all age groups. The substantial fall in CD MRs resulted in similar MRs for CDs and NCDs among all adult females by 2010. NCD MRs for adults aged 15y to <65y fell from 409 to 183 per 100,000 among females and from 517 to 283 per 100,000 population among males. NCD MRs were higher among males than females aged both below, and at or above, 65y. CONCLUSIONS: NCDs constitute a significant proportion of deaths in rural western Kenya. Evidence of the increasing contribution of NCDs to overall mortality supports international recommendations to introduce or enhance prevention, screening, diagnosis and treatment programmes in LMICs.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1371/journal.pone.0114010

Cites

61 of 61 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Phillips-Howard, P. A., Laserson, K. F., Amek, N., Beynon, C. M., Angell, S. Y., Khagayi, S., Byass, P., Hamel, M. J., van Eijk, A. M., Zielinski-Gutierrez, E., Slutsker, L., De Cock, K. M., Vulule, J., & Odhiambo, F. O.
Affiliations
  • Centers for Disease Control and Prevention (US)
  • Liverpool John Moores University (GB)
  • Kenya Medical Research Institute (KE)
  • Umeå University (SE)
Venue
PLoS ONE
Published
2014-11-26
Volume
9
Issue
11
Pages
e114010
ISSN
1932-6203 (ISSN-L)
OpenAlex
W2007972844
Cited by
33
References
61
Citations by year
2026: 1 · 2024: 1 · 2023: 3 · 2022: 9 · 2021: 4 · 2020: 4 · 2019: 2 · 2018: 6 · 2017: 2 · 2016: 1
FWCI
1.82
Type
journal article
Language
en
Open access
Locations
  • PLoS ONE (publishedVersion, public-domain)
  • Europe PMC (PubMed Central) (publishedVersion, public-domain)
  • PubMed Central (publishedVersion, public-domain)
  • PubMed (publishedVersion)
  • LSTM Online Archive (Liverpool School of Tropical Medicine) (acceptedVersion)
  • DiVA at Umeå University (Umeå University) (submittedVersion, other-oa)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Figshare (submittedVersion, cc-by)
Funders
Centers for Disease Control and Prevention
Topics
  • Health Sciences › Health Professions › Health Information Management › Global Health and Epidemiology
  • Health Sciences › Medicine › Epidemiology › Healthcare Systems and Public Health
  • Social Sciences › Demography › Insurance, Mortality, Demography, Risk Management
Keywords
non-communicable diseases, adult mortality, rural Kenya, verbal autopsy, InterVA-4, cancer mortality, cardiovascular mortality, respiratory neoplasms, premature mortality, sex differences in mortality, age at death, infectious diseases, health and demographic surveillance system, Western Kenya, low- and middle-income countries
MeSH terms
Adolescent, Adult, Aged, Cardiovascular Diseases, Cause of Death, Communicable Diseases, Data Collection, Female, Humans, Kenya, Kidney Diseases, Lung Diseases, Male, Metabolic Diseases, Middle Aged, Neoplasms, Population Surveillance, Retrospective Studies, Risk Factors, Rural Population, Young Adult

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review