Evidence map›Paper›PMID 26679701›Full record

ArticleBMC public health2015

Risk factors of hypertension among adults aged 35-64 years living in an urban slum Nairobi, Kenya.

Beatrice Olack, Fred Wabwire-Mangen, Liam Smeeth, Joel M Montgomery, Noah Kiwanuka, Robert F Breiman

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 6 pooled it
7.0field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

62 citing papers in PubMed, 6 syntheses or guidelines pooled it, 134 citations in OpenAlex.

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2 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 3 countries.

Beatrice OlackSchool of Public Health, College of Health Sciences, Makerere University, Kampala, Uganda. olackb@gmail.com.
Fred Wabwire-MangenSchool of Public Health, College of Health Sciences, Makerere University, Kampala, Uganda. fwabwire@musph.ac.ug.
Liam SmeethLondon School of Hygiene and Tropical Medicine, London, UK. liam.smeeth@lshtm.ac.uk.
Joel M MontgomeryDivision of Global Health Protection, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA. ztq9@cdc.gov.
Noah KiwanukaSchool of Public Health, College of Health Sciences, Makerere University, Kampala, Uganda. nkiwanuka@gmail.com.
Robert F BreimanEmory Global Health Institute, Emory University Atlanta, Atlanta, Georgia, USA. rfbreiman@emory.edu.
Makerere University · UGCenters for Disease Control and Prevention · USEmory University · USLondon School of Hygiene & Tropical Medicine · GB

Funding

Medical Research Council MR/K006584/1Wellcome Trust 087540Wellcome Trust 098504
6 · The paper itself

Abstract

backgroundHypertension is an emerging public health problem in Sub Saharan Africa (SSA) and urbanization is considered to favor its emergence. Given a paucity of information on hypertension and associated risk factors among urban slum dwellers in SSA, we aimed to characterize the distribution of risk factors for hypertension and investigate their association with hypertension in an urban slum in Kenya.

methodsWe conducted a community based cross-sectional survey among adults 35 years and older living in Kibera slum Nairobi, Kenya. Trained interviewers collected data on socio demographic characteristics and self reported health behaviours using modified World Health Organization stepwise surveillance questionnaire for chronic disease risk factors. Anthropometric and blood pressure measurements were performed following standard procedures. Multiple logistic regression was used for analysis and odds ratios with 95 % confidence intervals were calculated to identify risk factors associated with hypertension.

resultA total of 1528 adults were surveyed with a mean age of 46.7 years. The age-standardized prevalence of hypertension was 29.4 % (95 % CI 27.0-31.7). Among the 418 participants classified as hypertensive, over one third (39.0 %) were unaware they had hypertension. Prevalence of current smoking and alcohol consumption was 8.5 and 13.1 % respectively. Over one quarter 26.2 % participants were classified as overweight (Body Mass Index [BMI] ≥25 to ≤29.9 kg/m(2)), and 17 % classified as obese (BMI ≥30 kg/m(2)). Overweight, obesity, current smoking, some level of education, highest wealth index, moderate physical activity, older age and being widowed were each independently associated with hypertension. When fit in a multivariable logistic regression model, being a widow [AOR = 1.7; (95 % CI, 1.1-2.6)], belonging to the highest wealth index [AOR = 1.6; (95 % CI, 1.1-2.5)], obesity [AOR = 1.8; 95 % CI, 1.1-3.1)] and moderate physical activity [AOR = 1.9; (95 % CI, 1.2-3.0)], all remained significantly associated with hypertension.

conclusionHypertension in the slum is a public health problem affecting at least one in three adults aged 35-64 years. Age, marital status, wealth index, physical inactivity and body mass index are important risk factors associated with hypertension. Prevention measures targeting the modifiable risk factors associated with hypertension are warranted to curb hypertension and its progressive effects.

Indexed as

Health BehaviorPoverty AreasAdultAge FactorsAlcohol DrinkingAnthropometryBody Mass IndexCross-Sectional StudiesExerciseFemaleHumansHypertensionKenyaLogistic ModelsMaleMiddle Aged

Identifiers

PMID26679701
PMCPMC4683777
OpenAlexW2199153962

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.