Evidence map›Paper›PMID 25925238›Full record

ArticleBMC public health2015

Prevalence of cardiovascular disease risk factors among a Nigerian adult population: relationship with income level and accessibility to CVD risks screening.

Victor Maduabuchi Oguoma, Ezekiel Uba Nwose, Timothy Chas Skinner, Kester Awharentomah Digban, Innocent Chukwu Onyia, Ross Stuart Richards

Erratum issuedOpen 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. An erratum has been issued. Cited by 43 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 7 pooled it
8.9field-weighted citation impact, top 2% 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

43 citing papers in PubMed, 7 syntheses or guidelines pooled it, 85 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 2 countries.

Victor Maduabuchi OguomaSchool of Psychological and Clinical Sciences, Charles Darwin University, Darwin, Northern Territory, 0909, Australia. oguomavm@yahoo.com.
Ezekiel Uba NwoseSchool of Community Health, Charles Sturt University, NSW, Australia. enwose@csu.edu.au.
Timothy Chas SkinnerSchool of Psychological and Clinical Sciences, Charles Darwin University, Darwin, Northern Territory, 0909, Australia. timothy.skinner@cdu.edu.au.
Kester Awharentomah DigbanDepartment of Public and Community Health, Novena University Ogume, Delta State, Nigeria. kadigban@yahoo.com.
Innocent Chukwu OnyiaOnyx Hospital and Maternity Ltd, Lagos State, Nigeria. chucksonyia@yahoo.com.
Ross Stuart RichardsSchool of Community Health, Charles Sturt University, NSW, Australia. rorichards@csu.edu.au.
Charles Darwin University · AUCharles Sturt University · AULagos State Health Service Commission · NGNovena University · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn Nigeria, reports on the prevalence of modifiable cardiovascular disease (CVD) risk factors are scarce. In addition, socio-economic status (SES), an important component of the socioeconomic gradient in CVD and its risk factors has not been clearly elucidated. This study sought to assess the prevalence of CVD risk factors and how the difference in prevalence and accessibility to CVD risk screening across income levels and educational backgrounds contributes to disease diagnosis in rural and urban Nigerian adults.

methodsA cross sectional study was carried out on a sociocultural ethnic group of persons living in rural and urban settings. All participants were aged ≥ 18 years. The WHO STEPS questionnaire was used to document the demographics, history of previous medical check-up or screening, anthropometric and biochemical measurements of the participants. Average income level and educational status were indicators used to assess the impact of SES. Multivariate analyses were performed to assess any difference between the geographical locations and SES indicators, and prevalence of CVD risk factors and access to CVD risk screening.

resultsThe 422 participants (273 females and 149 males) [corrected] had mean age (± standard deviation) of 38.3 ± 20.5 and 42.9 ± 20.7 years, respectively. Only total cholesterol (p = 0.001), triglyceride (p = 0.005), high density lipoprotein cholesterol (HDL) (p < 0.0001), body mass index (BMI) (p = 0.03) and average income rate (p = 0.01) showed significant difference between gender groups. Overall prevalence of prediabetes (4.9%), diabetes (5.4%), hypertension (35.7%), low HDL (17.8%), hypertriglyceridemia (23.2%), hypercholesterolemia (38.1%) and central obesity of 52.2% was recorded. Except between total cholesterol (p = 0.042) and HDL (p = 0.017), other CVD risk factors did not show a statistical significance across income levels. Participants with 'university and postgraduate education' had higher access to blood pressure and blood glucose screening compared to other educational groups; and this showed a statistical significance.

conclusionThis study has shown that a significant number of modifiable CVD risk factors exist in the rural and urban migrants of an adult Nigerian population. While income level did not affect the CVD risk factor prevalence, it did affect accessibility to CVD risk screening. There is a need for access to diagnosis of modifiable risk factors at all levels of society.

Indexed as

AdultBlood GlucoseBody Mass IndexBody Weights and MeasuresCardiovascular DiseasesCross-Sectional StudiesDiabetes MellitusFemaleHealth Services AccessibilityHumansHypertensionLipidsMaleMass ScreeningMiddle AgedNigeriaBlood GlucoseLipids

Identifiers

PMID25925238
PMCPMC4415344
OpenAlexW2042922276

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.