Socio-economic and demographic determinants of non-communicable diseases in Kenya: a secondary analysis of the Kenya stepwise survey.


Journal

The Pan African medical journal
ISSN: 1937-8688
Titre abrégé: Pan Afr Med J
Pays: Uganda
ID NLM: 101517926

Informations de publication

Date de publication:
2020
Historique:
received: 03 12 2019
accepted: 08 12 2020
entrez: 2 4 2021
pubmed: 3 4 2021
medline: 15 4 2021
Statut: epublish

Résumé

non-communicable diseases (NCDs) are projected to become the leading cause of death in Africa by 2030. Gender and socio-economic differences influence the prevalence of NCDs and their risk factors. we performed a secondary analysis of the STEPS 2015 data to determine prevalence and correlation between diabetes, hypertension, harmful alcohol use, smoking, obesity and injuries across age, gender, residence and socio-economic strata. tobacco use prevalence was 13.5% (males 19.9%, females 0.9%, p<0.001); harmful alcohol use was 12.6% (males 18.1%, females 2.2%, p<0.001); central obesity was 27.9% (females 49.5%, males 32.9%, p=0.017); type 2 diabetes prevalence 3.1% (males 2.0%, females 2.8%, p=0.048); elevated blood pressure prevalence was 23.8% (males 25.1%, females 22.6%, p<0.001), non-use of helmets 72.8% (males 89.5%, females 56.0%, p=0.031) and seat belts non-use 67.9% (males 79.8%, females 56.0%, p=0.027). Respondents with <12 years of formal education had higher prevalence of non-use of helmets (81.7% versus 54.1%, p=0.03) and seat belts (73.0% versus 53.9%, p=0.039). Respondents in the highest wealth quintile had higher prevalence of type II diabetes compared with those in the lowest (5.2% versus 1.6%,p=0.008). Rural dwellers had 35% less odds of tobacco use (aOR 0.65, 95% CI 0.49, 0.86) compared with urban dwellers, those with ≥12 years of formal education had 89% less odds of tobacco use (aOR 0.11, 95% CI 0.07, 0.17) compared with <12 years, and those belonging to the wealthiest quintile had 64% higher odds of unhealthy diets (aOR 1.64, 95% CI 1.26, 2.14). Only 44% of respondents with type II diabetes and 16% with hypertension were aware of their diagnosis. prevalence of NCD risk factors is high in Kenya and varies across socio-demographic attributes. Socio-demographic considerations should form part of multi-sectoral, integrated approach to reduce the NCD burden in Kenya.

Identifiants

pubmed: 33796165
doi: 10.11604/pamj.2020.37.351.21167
pii: PAMJ-37-351
pmc: PMC7992900
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

351

Informations de copyright

Copyright: Kibachio Joseph Mwangi et al.

Déclaration de conflit d'intérêts

The authors declare no competing interests.

Références

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Auteurs

Kibachio Joseph Mwangi (KJ)

Faculté de Médecine, Université de Genève, Genève, Suisse.
Division of Non-communicable Disease, Ministry of Health, Nairobi, Kenya.

Valerian Mwenda (V)

Division of Non-communicable Disease, Ministry of Health, Nairobi, Kenya.
Field Epidemiology and Laboratory Training Program, Ministry of Health, Nairobi, Kenya.

Gladwell Gathecha (G)

Division of Non-communicable Disease, Ministry of Health, Nairobi, Kenya.

David Beran (D)

Division of Primary Care Medicine, Department of Primary Care Medicine, Geneva University Hospitals, Geneva, Switzerland.

Idris Guessous (I)

Faculté de Médecine, Université de Genève, Genève, Suisse.
Division of Tropical and Humanitarian Medicines, Geneva University Hospitals and University of Geneva, Geneva, Switzerland.

Oren Ombiro (O)

Division of Non-communicable Disease, Ministry of Health, Nairobi, Kenya.
Improving Public Health Management for Action (IMPACT) Program, Ministry of Health, Nairobi, Kenya.

Zachary Ndegwa (Z)

Division of Non-communicable Disease, Ministry of Health, Nairobi, Kenya.

Peninnah Masibo (P)

Global Programs for Research and Training, University of California, San Francisco, Nairobi, Kenya.

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