Evidence map›Paper›PMID 34795725›Full record

ArticleAfrican health sciences2021

Evaluation of predominant risk factors for type 2 diabetes mellitus among out-patients in two Nigerian secondary health facilities.

Chinonyerem O Iheanacho, Doyin O Osoba, Uchenna Ih Eze

Open access · diamondAbstract read
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Article in African health sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

7 citing papers in PubMed, 14 citations in OpenAlex.

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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

3 authors at 2 institutions in 1 country.

Chinonyerem O IheanachoDepartment of Clinical Pharmacy and Public Health, Faculty of Pharmacy, University of Calabar, Nigeria.
Doyin O OsobaDepartment of Clinical Pharmacy and Biopharmacy, Faculty of Pharmacy, Olabisi Onabanjo University, Sagamu, Nigeria.
Uchenna Ih EzeDepartment of Clinical Pharmacy and Biopharmacy, Faculty of Pharmacy, Olabisi Onabanjo University, Sagamu, Nigeria.
Olabisi Onabanjo University · NGUniversity of Calabar · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevention of type 2 diabetes is enabled by identification and effective management of risk factors.

objectivesTo evaluate the predominant risks for type 2 diabetes and identify persons at highest risk in a population; to facilitate the understanding of implications for practice.

methodsCross-sectional survey using Canadian diabetes risk assessment questionnaire was conducted among non-diabetic persons who visited two secondary hospitals. SPSS version 18 was used for data analysis.

resultsA total of 300 respondents participated in the study, with 25.7% having family history of type 2 diabetes, while 160 (53.3%) were at high risk of developing the disease. Males (62.5%), overweight (65.1%) and obese (82.6%) participants, were at higher risk. Others found to be at high risk were respondents with high waist circumference (55.6%), respondents who did not exercise (77.0%), those who did not eat fruits/vegetable daily (54.4%), those with high blood pressure (67.5%) and those who have had raised blood sugar in the past (71.0%).

conclusionMajority of the study participants was at high risk for type 2 diabetes, male participants had higher risks and lifestyles/habits were the major risks for developing the disease..

Indexed as

OutpatientsRisk FactorsCross-Sectional StudiesDiabetes Mellitus, Type 2FemaleHumansMaleNigeriaSecondary Care CentersSurveys and QuestionnairesEvaluationNigeriaprimary preventionrisk factorstype 2 diabetes

Identifiers

PMID34795725
PMCPMC8568255
OpenAlexW3191780047

What OpenQuestion holds

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LicenceCC BY
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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.