Evidence map›Paper›PMID 25974077›Full record

ArticlePloS one2015

Prevalence of dyslipidaemia and associated risk factors in a rural population in South-Western Uganda: a community based survey.

Gershim Asiki, Georgina A V Murphy, Kathy Baisley, Rebecca N Nsubuga, Alex Karabarinde, Robert Newton, Janet Seeley, Elizabeth H Young, Anatoli Kamali, Manjinder S Sandhu

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 42 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 2 pooled it
3.8field-weighted citation impact, top 6% 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

42 citing papers in PubMed, 2 syntheses or guidelines pooled it, 63 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 5 institutions in 2 countries.

Gershim AsikiMedical Research Council/Uganda Virus Research Institute (MRC/UVRI), Uganda Research Unit on AIDS, Entebbe, Uganda.
Georgina A V MurphyCentre for Tropical Medicine, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.
Kathy BaisleyLondon School of Hygiene and Tropical Medicine, London, United Kingdom.
Rebecca N NsubugaMedical Research Council/Uganda Virus Research Institute (MRC/UVRI), Uganda Research Unit on AIDS, Entebbe, Uganda.
Alex KarabarindeMedical Research Council/Uganda Virus Research Institute (MRC/UVRI), Uganda Research Unit on AIDS, Entebbe, Uganda.
Robert NewtonMedical Research Council/Uganda Virus Research Institute (MRC/UVRI), Uganda Research Unit on AIDS, Entebbe, Uganda.
Janet SeeleyMedical Research Council/Uganda Virus Research Institute (MRC/UVRI), Uganda Research Unit on AIDS, Entebbe, Uganda; London School of Hygiene and Tropical Medicine, London, United Kingdom.
Elizabeth H YoungDepartment of Public Health & Primary Care, University of Cambridge, Cambridge, United Kingdom; Wellcome Trust Sanger Institute, Hinxton, United Kingdom.
Anatoli KamaliMedical Research Council/Uganda Virus Research Institute (MRC/UVRI), Uganda Research Unit on AIDS, Entebbe, Uganda; London School of Hygiene and Tropical Medicine, London, United Kingdom.
Manjinder S SandhuDepartment of Public Health & Primary Care, University of Cambridge, Cambridge, United Kingdom; Wellcome Trust Sanger Institute, Hinxton, United Kingdom.
Uganda Virus Research Institute · UGLondon School of Hygiene & Tropical Medicine · GBUniversity of Cambridge · GBUniversity of Oxford · GBWellcome Sanger Institute · GB

Funding

British Heart Foundation PG/08/094/26019Medical Research Council G0801566Medical Research Council G0901213Medical Research Council G0901213-92157Medical Research Council MC_U950080926Medical Research Council MR/K012126/1
6 · The paper itself

Abstract

backgroundThe burden of dyslipidaemia is rising in many low income countries. However, there are few data on the prevalence of, or risk factors for, dyslipidaemia in Africa.

methodsIn 2011, we used the WHO Stepwise approach to collect cardiovascular risk data within a general population cohort in rural south-western Uganda. Dyslipidaemia was defined by high total cholesterol (TC) ≥ 5.2 mmol/L or low high density lipoprotein cholesterol (HDL-C) <1 mmol/L in men, and <1.3 mmol/L in women. Logistic regression was used to explore correlates of dyslipidaemia.

resultsLow HDL-C prevalence was 71.3% and high TC was 6.0%. In multivariate analysis, factors independently associated with low HDL-C among both men and women were: decreasing age, tribe (prevalence highest among Rwandese tribe), lower education, alcohol consumption (comparing current drinkers to never drinkers: men adjusted (a)OR=0.44, 95%CI=0.35-0.55; women aOR=0.51, 95%CI=0.41-0.64), consuming <5 servings of fruit/vegetable per day, daily vigorous physical activity (comparing those with none vs those with 5 days a week: men aOR=0.83 95%CI=0.67-1.02; women aOR=0.76, 95%CI=0.55-0.99), blood pressure (comparing those with hypertension to those with normal blood pressure: men aOR=0.57, 95%CI=0.43-0.75; women aOR=0.69, 95%CI=0.52-0.93) and HIV infection (HIV infected without ART vs. HIV negative: men aOR=2.45, 95%CI=1.53-3.94; women aOR=1.88, 95%CI=1.19-2.97). The odds of low HDL-C was also higher among men with high BMI or HbA1c ≤ 6%, and women who were single or with abdominal obesity. Among both men and women, high TC was independently associated with increasing age, non-Rwandese tribe, high waist circumference (men aOR=5.70, 95%CI=1.97-16.49; women aOR=1.58, 95%CI=1.10-2.28), hypertension (men aOR=3.49, 95%CI=1.74-7.00; women aOR=1.47, 95%CI=0.96-2.23) and HbA1c >6% (men aOR=3.00, 95%CI=1.37-6.59; women aOR=2.74, 95%CI=1.77-4.27). The odds of high TC was also higher among married men, and women with higher education or high BMI.

conclusionLow HDL-C prevalence in this relatively young rural population is high whereas high TC prevalence is low. The consequences of dyslipidaemia in African populations remain unclear and prospective follow-up is required.

Indexed as

AdultAge FactorsAlcohol DrinkingBlood PressureBody Mass IndexCardiovascular DiseasesCholesterolCholesterol, HDLCross-Sectional StudiesDyslipidemiasFemaleHumansLogistic ModelsMaleMiddle AgedObesityCholesterolCholesterol, HDL

Identifiers

PMID25974077
PMCPMC4431752
OpenAlexW1756417480

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.