Influence of age on links between major modifiable risk factors and stroke occurrence in West Africa

dc.contributor.authorSarfo, F.S.
dc.contributor.authorAkpa, O.
dc.contributor.authorOvbiagele, B.
dc.contributor.authorAkpalu, A.
dc.contributor.authorWahab, K.
dc.contributor.authorKomolafe, M.
dc.contributor.authorObiako, R.
dc.contributor.authorOwolabi, L.
dc.contributor.authorOsaigbovo, G.O.
dc.contributor.authorJenkins, C.
dc.contributor.authorAdekunle Fakunle, A.
dc.contributor.authorOgbole, G.
dc.contributor.authorTiwari, H.K.
dc.contributor.authorArulogun, O.
dc.contributor.authorArnett, D.K.
dc.contributor.authorAsowata, O.
dc.contributor.authorOgah, O.
dc.contributor.authorAkinyemi, R.O.
dc.contributor.authorOwolabi, M.O.
dc.date.accessioned2021-11-01T11:08:38Z
dc.date.available2021-11-01T11:08:38Z
dc.date.issued2021
dc.descriptionResearch Articleen_US
dc.description.abstractBackground The burden of stroke in Africa is high. Understanding how age associates with major modifiable stroke risk factors could inform tailored demographic stroke prevention strategies. Purpose To quantify the magnitude and direction of the effect sizes of key modifiable stroke risk factors according to three age groups: <50 years (young), 50–65 years (middle age) and > 65 years (elderly) in West Africa. Methods This was a case-control study involving 15 sites in Ghana and Nigeria. Cases included adults aged ≥18 years with CT/MRI scan-typed stroke. Controls were age-and gender-matched stroke-free adults. Detailed evaluations for vascular, lifestyle and psychosocial factors were performed. We estimated adjusted odds ratios (aOR) using conditional logistic regression and population attributable risk (PAR) with 95% Confidence Interval of vascular risk factors by age groups. Results Among 3553 stroke cases, 813 (22.9%) were young, 1441 (40.6%) were middle-aged and 1299 (36.6%) were elderly. Among the 5 co-shared risk factors, dyslipidemia with PAR and aOR (95%CI) of 62.20% (52.82–71.58) and 4.13 (2.64–6.46) was highest among the young age group; hypertension with PAR of 94.31% (91.82–96.80) and aOR of 28.93 (15.10–55.44) was highest among the middle-age group. Diabetes with PAR of 32.29% (27.52–37.05) and aOR of 3.49 (2.56–4.75); meat consumption with PAR of 42.34%(32.33–52.35) and aOR of 2.40 (1.76, 3.26); and non-consumption of green vegetables, PAR of 16.81%(12.02–21.60) and aOR of 2.23 (1.60–3.12) were highest among the elderly age group. However confidence intervals of risk estimates overlapped across age groups. Additionally, among the young age group cigarette smoking, psychosocial stress and cardiac disease were independently associated with stroke. Furthermore, education, stress, physical inactivityen_US
dc.identifier.otherhttps://doi.org/10.1016/j.jns.2021.117573
dc.identifier.urihttp://ugspace.ug.edu.gh/handle/123456789/36989
dc.language.isoenen_US
dc.publisherJournal of the Neurological Sciencesen_US
dc.subjectStrokeen_US
dc.subjectAgeen_US
dc.subjectVascular risk factorsen_US
dc.subjectAfricaen_US
dc.subjectPreventionen_US
dc.titleInfluence of age on links between major modifiable risk factors and stroke occurrence in West Africaen_US
dc.typeArticleen_US

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