Evidence map›Paper›PMID 25967045›Full record

ArticleNeuroepidemiology2015

Stroke-Risk Factors Differ between Rural and Urban Communities: Population Survey in Central Uganda.

Jane Nakibuuka, Martha Sajatovic, Joaniter Nankabirwa, Anthony J Furlan, James Kayima, Edward Ddumba, Elly Katabira, Jayne Byakika-Tusiime

Open access · bronzeAbstract read
In one paragraph

Article in Neuroepidemiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 3 pooled it
2.6field-weighted citation impact, top 11% 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

19 citing papers in PubMed, 3 syntheses or guidelines pooled it, 35 citations in OpenAlex.

  1. Pooled it
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  10. Pattern of stroke in a rural Kenyan hospital.Malawi medical journal : the journal of Medical Association of Malawi · 2019
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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

8 authors at 4 institutions in 2 countries.

Jane NakibuukaDepartment of Medicine, School of Medicine, Makerere University College of Health Sciences, Kampala, Uganda.
Martha Sajatovic
Joaniter Nankabirwa
Anthony J Furlan
James Kayima
Edward Ddumba
Elly Katabira
Jayne Byakika-Tusiime
Makerere University · UGCase Western Reserve University · USNsambya Hospital · UGUniversity Hospitals Case Medical Center · US

Funding

Linked; Building Capacity for Cardiovascular Research and Training in UgandaR24TW008861 · FIC · MAKERERE UNIVERSITY COLLEGE OF HEALTH SCIENCES · PI SEWANKAMBO, NELSON K · 2010 to 2014
$2.5M
FIC NIH HHS 5R24 TW008861FIC NIH HHS R24 TW008861
6 · The paper itself

Abstract

backgroundSocioeconomic transition is changing stroke risk factors in Sub-Saharan Africa. This study assessed stroke-risk factors and their associated characteristics in urban and rural Uganda.

methodsWe surveyed 5,420 urban and rural participants and assessed the stroke-risk factor prevalence and socio-behavioural characteristics associated with risk factors.

resultsRural participants were older with higher proportions of men and fewer poor compared to urban areas. The most prevalent modifiable stroke-risk factors in all areas were hypertension (27.1% rural and 22.4% urban, p = 0.004), overweight and obesity (22.0% rural and 42% urban, p < 0.0001), and elevated waist hip ratio (25.8% rural and 24.1% urban, p = 0.045). Diabetes, smoking, physical inactivity, harmful alcohol consumption were found in ≤5%. Age, family history of hypertension, and waist hip ratio were associated with hypertension in all, while BMI, HIV were associated with hypertension only in urban dwellers. Sex and family history of hypertension were associated with BMI in all, while age, socio-economic status and diabetes were associated with BMI only in urban dwellers.

conclusionsThe prevalence of stroke-risk factors of diabetes, smoking, inactivity and harmful alcohol consumption was rare in Uganda. Rural dwellers belonging to a higher age group tended to be with hypertension and elevated waist hip ratio. Unlike high-income countries, higher socioeconomic status was associated with overweight and obesity.

Indexed as

AdolescentAdultAgedAged, 80 and overBody Mass IndexFemaleHumansHypertensionMaleMiddle AgedObesityPrevalenceRisk FactorsRural PopulationSmokingSocioeconomic Factors

Identifiers

PMID25967045
PMCPMC4458230
OpenAlexW1009825799

What OpenQuestion holds

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Registered trials

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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.