Evidence map›Paper›PMID 35715792›Full record

ArticleBMC public health2022

Effect of age and sex on the associations between potential modifiable risk factors and both type 2 diabetes and impaired fasting glycaemia among West African adults.

Ayuba Issaka, Adrian J Cameron, Yin Paradies, William K Bosu, Yèssito Corine N Houehanou, Jean B Kiwallo, Chea S Wesseh, Dismand S Houinato, Diarra J P Nazoum, Christopher Stevenson

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
1.4field-weighted citation impact, top 17% 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

4 citing papers in PubMed, 2 syntheses or guidelines pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
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

10 authors at 8 institutions in 5 countries.

Ayuba IssakaSchool of Health and Social Development, Faculty of Health, Deakin University, Waurn Ponds Campus, Locked Bag 20000, Geelong, VIC, 3220, Australia. aissaka@deakin.edu.au.ORCID 0000-0002-1022-3633
Adrian J CameronSchool of Health and Social Development, Faculty of Health, Deakin University, Waurn Ponds Campus, Locked Bag 20000, Geelong, VIC, 3220, Australia.
Yin ParadiesAlfred Deakin Institute for Citizenship and Globalisation, Faculty of Arts and Education, Deakin University, 221 Burwood Highway, Burwood, VIC, 3125, Australia.
William K BosuWest Africa Health Organization, 01 BP 153, Bobo-Dioulasso, Burkina Faso.
Yèssito Corine N HouehanouNational School of Senior Technicians Training in Public Health and Epidemiological Surveillance, University of Parakou, Postal Box 122, Parakou, Benin.
Jean B KiwalloDirectorate of Population Health Protection (DPSP) of the Burkina Faso, Ministry of Health, Ouagadougou, Burkina Faso.
Chea S WessehMinistry of Health, Republic of Liberia. Congo Town, Monrovia, Liberia.
Dismand S HouinatoLaboratory of Epidemiology of Chronic and Neurological Diseases (LEMACEN), Faculty of Health Sciences: 01 Postal, University of Abomey Calavi, Box 188, Cotonou, Benin.
Diarra J P NazoumFormer Head of Noncommunicable Diseases, National Directorate of Health, Ministry of Health and Public Hygiene, Bomako, Mali.
Christopher StevensonSchool of Health and Social Development, Faculty of Health, Deakin University, Waurn Ponds Campus, Locked Bag 20000, Geelong, VIC, 3220, Australia.
Deakin University · AUBaker Heart and Diabetes Institute · AUMinistère De La Santé · BFMinistère de la Santé et de l'Hygiène Publique · MLUniversité d'Abomey-Calavi · BJUniversité de Parakou · BJUniversity of Liberia · LRWest African Health Organisation · BF

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundType 2 diabetes mellitus (T2DM) is becoming one of the leading causes of morbidity and mortality worldwide, including among Africans. Knowledge of the association between traditional risk factors and both diabetes and pre-diabetes, and whether these differ by age and sex, is important for designing targeted interventions. However, little is known about these associations for African populations.

methodsThe study used data from WHO STEPS surveys, comprising 15,520 participants (6,774 men and 8,746 women) aged 25-64 years, from 5 different West African countries, namely Burkina Faso (4,711), Benin (3,816), Mali (1,772), Liberia (2,594), and Ghana (2,662). T-test and chi-square tests were used to compare differences in the prevalence of traditional risk factors for both sexes. Multinomial logistic regression was conducted to ascertain the relative risks (RR) and 95% confidence intervals (CI) for both T2DM and impaired fasting glucose (IFG) relating to each risk factor, including obesity [defined by BMI, waist circumference (WC), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR)], high blood pressure (HBP), fruit and vegetable consumption, physical inactivity, alcohol consumption, and smoking. Models for each of these traditional risk factors and interactions with age and sex were fitted.

resultsFactors associated with T2DM and IFG were age, obesity [defined by BMI, WC, WHtR, and WHR], HBP, smoking, physical inactivity, and fruit and vegetable consumption (p < 0.05). Analysis of interaction effects showed few significant differences in associations between risk factors and T2DM according to age or sex. Significant interaction with age was observed for HBP*age and T2DM [RR; 1.20, 95% CI: (1.01, 1.42)) (p = 0.04)], WHtR*age and T2DM [RR; 1.23, 95% CI: (1.06, 1.44) (p = 0.007)] and WHR*age and IFG [RR: 0.79, 95% CI: (0.67, 0.94) (p = 0.006)]. Some interactions with age and sex were observed for the association of alcohol consumption and both IFG and T2DM, but no clear patterns were observed.

conclusionThe study found that with very few exceptions, associations between traditional risk factors examined and both IFG and T2DM did not vary by age or sex among the West African population. Policies and public health intervention strategies for the prevention of T2DM and IFG should target adults of any age or sex in West Africa.

Indexed as

Diabetes Mellitus, Type 2HypertensionPrediabetic StateAdultBody Mass IndexBurkina FasoFastingFemaleHumansMaleObesityRisk FactorsWaist CircumferenceAge differenceAssociationsIFGRisk factorsSex differenceT2DMWest Africa

Identifiers

PMID35715792
PMCPMC9206253
OpenAlexW4283008693

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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.