Evidence map›Paper›PMID 37547317›Full record

ArticleFrontiers in endocrinology2023

Prevalence of haemoglobin A1c based dysglycaemia among adult community dwellers in selected states in Nigeria: a descriptive cross-sectional study.

Ikeoluwapo O Ajayi, William O Balogun, Oluwarotimi B Olopade, Gbadebo O Ajani, David O Soyoye, Oladimeji A Bolarinwa, Michael A Olamoyegun, Bilqis W Alatishe-Muhammad, Ifedayo A Odeniyi, Olukemi Odukoya and 20 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Review
  2. Review
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

30 authors.

Ikeoluwapo O AjayiCollege of Medicine, University of Ibadan, Ibadan, Nigeria.
William O BalogunCollege of Medicine, University of Ibadan, Ibadan, Nigeria.
Oluwarotimi B OlopadeCollege of Medicine, University of Lagos, Lagos, Nigeria.
Gbadebo O AjaniCollege of Medicine and Health Sciences, Afe Babalola University, Ekiti, Nigeria.
David O SoyoyeCollege of Health Sciences, Obafemi Awolowo University, Ile-Ife, Nigeria.
Oladimeji A BolarinwaCollege of Health Sciences, University of Ilorin, Ilorin, Nigeria.
Michael A OlamoyegunDepartment of Medicine, Ladoke Akintola University of Technology, Ogbomosho, Nigeria.
Bilqis W Alatishe-MuhammadDirectorate of Planning, Research and Statistics, Kwara State Ministry of Education, Ilorin, Nigeria.
Ifedayo A OdeniyiCollege of Medicine, University of Lagos, Lagos, Nigeria.
Olukemi OdukoyaCollege of Medicine, University of Lagos, Lagos, Nigeria.
Olufemi A FasanmadeCollege of Medicine, University of Lagos, Lagos, Nigeria.
Funmilayo P DiyaoluCollege of Medicine, University of Lagos, Lagos, Nigeria.
Erere OtrofanoweiCollege of Medicine, University of Lagos, Lagos, Nigeria.
Iorhen AkaseCollege of Medicine, University of Lagos, Lagos, Nigeria.
Paul O AgabiCollege of Medicine, University of Lagos, Lagos, Nigeria.
Adebola AdejimiCollege of Medicine, University of Lagos, Lagos, Nigeria.
Oluwaserimi A AjetunmobiCollege of Medicine and Health Sciences, Afe Babalola University, Ekiti, Nigeria.
Kabir A DurowadeCollege of Medicine and Health Sciences, Afe Babalola University, Ekiti, Nigeria.
Emmanuel O Gabriel-AlayodeCollege of Medicine and Health Sciences, Afe Babalola University, Ekiti, Nigeria.
Azeez O IbrahimDepartment of Medicine, Federal Teaching Hospital Ido-Ekiti, Ido-Ekiti, Nigeria.
Okechukwu O EzekpoCollege of Medicine and Health Sciences, Afe Babalola University, Ekiti, Nigeria.
Toyin O ElegbedeCollege of Medicine and Health Sciences, Afe Babalola University, Ekiti, Nigeria.
Ayodeji O LamidiCollege of Health Sciences, Obafemi Awolowo University, Ile-Ife, Nigeria.
Funmilayo A OwolabiCollege of Health Sciences, Obafemi Awolowo University, Ile-Ife, Nigeria.
Adebimpe O YusufCollege of Health Sciences, Obafemi Awolowo University, Ile-Ife, Nigeria.
Tajudin A AdetunjiCollege of Health Sciences, Obafemi Awolowo University, Ile-Ife, Nigeria.
Ayodele J OgunmodedeCollege of Health Sciences, University of Ilorin, Ilorin, Nigeria.
Abolore H AmeenCollege of Health Sciences, University of Ilorin, Ilorin, Nigeria.
Abayomi S BiliaminuCollege of Health Sciences, University of Ilorin, Ilorin, Nigeria.
Sanni NasiruDepartment of Medicine, University of Ilorin Teaching Hospital, Ilorin, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Type 2 diabetes mellitus (T2DM) is a disease of public health importance globally with an increasing burden of undiagnosed pre-diabetes and diabetes in low- and middle-income countries, Nigeria in particular. Pre-diabetes and diabetes are established risk factors for cardiovascular complications. However, data are scanty on the current prevalence of these conditions in Nigeria, based on haemoglobin A1c (HbA1c) diagnosis as recommended by the WHO in 2009. We aimed to determine the prevalence of pre-diabetes, diabetes, and undiagnosed diabetes among the adult population of Nigeria using HbA1c. Methodology: A cross-sectional, multi-site population study was carried out in selected states in Nigeria (namely, Ekiti, Lagos, Osun, Oyo, and Kwara states) involving 2,708 adults (≥18 years) in rural and urban community dwellers, without prior diagnosis of pre-diabetes or diabetes. Participants with ongoing acute or debilitating illnesses were excluded. Data were collected using an interviewer-administered pretested, semi-structured questionnaire. Socio-demographic, clinical (weight, height, blood pressure, etc.), and laboratory characteristics of participants including HbA1c were obtained. Data were analysed using STATA version 16. Results: The mean age of participants was 48.1 ± 15.8 years, and 65.5% were female. The overall prevalence of pre-diabetes and undiagnosed diabetes was 40.5% and 10.7%, respectively, while the prevalence of high blood pressure was 36.7%. The prevalence of pre-diabetes was the highest in Lagos (48.1%) and the lowest in Ekiti (36.7%), while the prevalence of diabetes was the highest in Kwara (14.2%) and the lowest in Ekiti (10%). There was a significant association between age of the participants (p< 0.001), gender (p = 0.009), educational status (p = 0.008), occupation (p< 0.001), tribe (p = 0.004), marital status (p< 0.001), blood pressure (p< 0.001), and their diabetic or pre-diabetic status. Independent predictors of diabetes and pre-diabetes include excess weight gain, sedentary living, and ageing. Participants within the age group 45-54 years had the highest total prevalence (26.6%) of pre-diabetes and diabetes. Conclusion: Over half of the respondents had pre-diabetes and diabetes, with a high prevalence of undiagnosed diabetes. A nationwide screening campaign will promote early detection of pre-diabetes and undiagnosed diabetes among adult Nigerians. Health education campaigns could be an effective tool in community settings to improve knowledge of the risk factors for diabetes to reduce the prevalence of dysglycaemia.

Indexed as

Diabetes Mellitus, Type 2Prediabetic StateAdultCross-Sectional StudiesFemaleGlycated HemoglobinHumansMaleMiddle AgedNigeriaPrevalenceGlycated Hemoglobinadult Nigerianshaemoglobin A1cpre-diabetesprevalenceselected statesundiagnosed diabetes

Identifiers

PMID37547317
PMCPMC10399573

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.