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dc.contributor.authorOchmann, Sophie
dc.contributor.authorvon Polenz, Isabelle
dc.contributor.authorMarcus, Maja-Emilia
dc.contributor.authorTheilmann, Michaela
dc.contributor.authorFlood, David
dc.contributor.authorAgoudavi, Kokou
dc.contributor.authorAryal, Krishna Kumar
dc.contributor.authorBahendeka, Silver
dc.contributor.authorBicaba, Brice
dc.contributor.authorBovet, Pascal
dc.contributor.authorCampos Caldeira Brant, Luisa
dc.contributor.authorCarvalho Malta, Deborah
dc.contributor.authorDamasceno, Albertino
dc.contributor.authorFarzadfar, Farshad
dc.contributor.authorGathecha, Gladwell
dc.contributor.authorGhanbari, Ali
dc.contributor.authorGurung, Mongal
dc.contributor.authorGuwatudde, David
dc.contributor.authorHouehanou, Corine
dc.contributor.authorHouinato, Dismand
dc.contributor.authorHwalla, Nahla
dc.contributor.authorJorgensen, Jutta Adelin
dc.contributor.authorKarki, Khem B
dc.contributor.authorLunet, Nuno
dc.contributor.authorMartins, Joao
dc.contributor.authorMayige, Mary
dc.contributor.authorMoghaddam, Sahar Saeedi
dc.contributor.authorOmar, Omar Mwalim
dc.contributor.authorMwangi, Kibachio Joseph
dc.contributor.authorNorov, Bolormaa
dc.contributor.authorQuesnel-Crooks, Sarah
dc.contributor.authorRezaei, Negar
dc.contributor.authorSibai, Abla M
dc.contributor.authorSturua, Lela
dc.contributor.authorTsabedze, Lindiwe
dc.contributor.authorWong-McClure, Roy
dc.contributor.authorDavies, Justine
dc.contributor.authorGeldsetzer, Pascal
dc.contributor.authorBärnighausen, Till
dc.contributor.authorAtun, Rifat
dc.contributor.authorManne-Goehler, Jennifer
dc.contributor.authorVollmer, Sebastian
dc.date.accessioned2024-05-10T07:03:45Z
dc.date.available2024-05-10T07:03:45Z
dc.date.created2023-10-12T08:51:59Z
dc.date.issued2023
dc.identifier.issn2572-116X
dc.identifier.urihttps://hdl.handle.net/11250/3129820
dc.description.abstractBackground Testing for the risk factors of cardiovascular disease, which include hypertension, diabetes, and hypercholesterolaemia, is important for timely and effective risk management. Yet few studies have quantified and analysed testing of cardiovascular risk factors in low-income and middle-income countries (LMICs) with respect to sociodemographic inequalities. We aimed to address this knowledge gap. Methods In this cross-sectional analysis, we pooled individual-level data for non-pregnant adults aged 18 years or older from nationally representative surveys done between Jan 1, 2010, and Dec 31, 2019 in LMICs that included a question about whether respondents had ever had their blood pressure, glucose, or cholesterol measured. We analysed diagnostic testing performance by quantifying the overall proportion of people who had ever been tested for these cardiovascular risk factors and the proportion of individuals who met the diagnostic testing criteria in the WHO package of essential noncommunicable disease interventions for primary care (PEN) guidelines (ie, a BMI >30 kg/m2 or a BMI >25 kg/m2 among people aged 40 years or older). We disaggregated and compared diagnostic testing performance by sex, wealth quintile, and education using two-sided t tests and multivariable logistic regression models. Findings Our sample included data for 994 185 people from 57 surveys. 19·1% (95% CI 18·5–19·8) of the 943 259 people in the hypertension sample met the WHO PEN criteria for diagnostic testing, of whom 78·6% (77·8–79·2) were tested. 23·8% (23·4–24·3) of the 225 707 people in the diabetes sample met the WHO PEN criteria for diagnostic testing, of whom 44·9% (43·7–46·2) were tested. Finally, 27·4% (26·3–28·6) of the 250 573 people in the hypercholesterolaemia sample met the WHO PEN criteria for diagnostic testing, of whom 39·7% (37·1–2·4) were tested. Women were more likely than men to be tested for hypertension and diabetes, and people in higher wealth quintiles compared with those in the lowest wealth quintile were more likely to be tested for all three risk factors, as were people with at least secondary education compared with those with less than primary education. Interpretation Our study shows opportunities for health systems in LMICs to improve the targeting of diagnostic testing for cardiovascular risk factors and adherence to diagnostic testing guidelines. Risk-factor-based testing recommendations rather than sociodemographic characteristics should determine which individuals are tested.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleDiagnostic testing for hypertension, diabetes, and hypercholesterolaemia in low-income and middle-income countries: a cross-sectional study of data for 994 185 individuals from 57 nationally representative surveysen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright 2023 The Author(s)en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2
dc.identifier.doi10.1016/S2214-109X(23)00280-2
dc.identifier.cristin2183957
dc.source.journalThe Lancet Global Healthen_US
dc.source.pagenumbere1363-e1371en_US
dc.identifier.citationThe Lancet Global Health. 2023, 11 (9), e1363-e1371.en_US
dc.source.volume11en_US
dc.source.issue9en_US


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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