Glycemic control self-management barriers and associated factors among older Nigerians with type 2 diabetes mellitus

Type 2 Diabetes Mellitus (T2DM) disproportionately affects older adults in low- and middle-income countries, including Nigeria. This study examined sociodemographic and clinical characteristics, diabetes practices, barriers, and factors associated with glycemic control among older Nigerians with T2DM. A community-based cross-sectional study was conducted among 896 older adults (≥ 60 years; mean age: 71.1) with confirmed T2DM, recruited through multistage sampling from 30 selected communities across Nigeria’s six geopolitical zones. The selected communities comprised 15 urban and 15 rural communities. Diabetes-management practices were assessed using the Type 2 Diabetes Mellitus Assessment Questionnaire (T2DMAQ), while glycemic control was determined from recent fasting blood glucose (FBG) and/or glycated haemoglobin (HbA1c) records. Descriptive statistics, Pearson’s chi-square tests, and crude odds ratios (ORs) with 95% confidence intervals (CIs) were calculated. Statistical significance was set at p < 0.05. Participants were predominantly female (65.6%) and aged > 70 years (62.9%). Poor glycemic control was observed in 68.4%, while 88.6% reported diabetes-related complications. Adherence to diabetic-specific diets (29.9%) and regular physical activity (43.1%) was low. Major barriers included lack of welfare support (88.7%), transportation (84.3%), and treatment and medication expenses/costs (83.0%). Glycemic control was significantly associated with age, education, employment, income, residence, and T2DM history (all p < 0.001). Higher odds of poor glycemic control were observed among participants aged > 70 years (OR = 1.91, 95% CI 1.43–2.54, p < 0.001), and urban residents (OR = 2.24, 95% CI 1.69–2.99, p < 0.001). Poor glycemic control was common among older adults with T2DM recruited from selected communities across Nigeria’s six geopolitical zones. Several sociodemographic characteristics were associated with glycemic control in crude bivariate analyses, although these associations should not be interpreted as independent or causal relationships. The findings highlight the need for further research examining the social, economic, and healthcare-contextual factors relevant to diabetes management among older Nigerians.

Authors

Institutions

Publication Details

Journal
Discover Public Health
Published
2026-10-14
DOI
https://doi.org/10.1186/s12982-026-03082-8
Primary Topic
Diabetes Management and Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Glycemic control self-management barriers and associated factors among older Nigerians with type 2 diabetes mellitus

Uchenna Cosmas Ugwu, Osmond Chukwuemeka Ene, Agatha Nneka Obayi, Olive Oluchukwu Ilo et al.
Discover Public Health
Diabetes Management and Education
article

Glycemic control self-management barriers and associated factors among older Nigerians with type 2 diabetes mellitus

Uchenna Cosmas Ugwu, Osmond Chukwuemeka Ene, Agatha Nneka Obayi, Olive Oluchukwu Ilo, Chuka Mackson Jones, Cordelia Chinonyerem Ugwu, Christian Chukwuka Eze, Happiness Chidinma Emelike, Joel Chikwado Omeje
article en

Abstract

Type 2 Diabetes Mellitus (T2DM) disproportionately affects older adults in low- and middle-income countries, including Nigeria. This study examined sociodemographic and clinical characteristics, diabetes practices, barriers, and factors associated with glycemic control among older Nigerians with T2DM. A community-based cross-sectional study was conducted among 896 older adults (≥ 60 years; mean age: 71.1) with confirmed T2DM, recruited through multistage sampling from 30 selected communities across Nigeria’s six geopolitical zones. The selected communities comprised 15 urban and 15 rural communities. Diabetes-management practices were assessed using the Type 2 Diabetes Mellitus Assessment Questionnaire (T2DMAQ), while glycemic control was determined from recent fasting blood glucose (FBG) and/or glycated haemoglobin (HbA1c) records. Descriptive statistics, Pearson’s chi-square tests, and crude odds ratios (ORs) with 95% confidence intervals (CIs) were calculated. Statistical significance was set at p < 0.05. Participants were predominantly female (65.6%) and aged > 70 years (62.9%). Poor glycemic control was observed in 68.4%, while 88.6% reported diabetes-related complications. Adherence to diabetic-specific diets (29.9%) and regular physical activity (43.1%) was low. Major barriers included lack of welfare support (88.7%), transportation (84.3%), and treatment and medication expenses/costs (83.0%). Glycemic control was significantly associated with age, education, employment, income, residence, and T2DM history (all p < 0.001). Higher odds of poor glycemic control were observed among participants aged > 70 years (OR = 1.91, 95% CI 1.43–2.54, p < 0.001), and urban residents (OR = 2.24, 95% CI 1.69–2.99, p < 0.001). Poor glycemic control was common among older adults with T2DM recruited from selected communities across Nigeria’s six geopolitical zones. Several sociodemographic characteristics were associated with glycemic control in crude bivariate analyses, although these associations should not be interpreted as independent or causal relationships. The findings highlight the need for further research examining the social, economic, and healthcare-contextual factors relevant to diabetes management among older Nigerians.

Discover Public HealthVol. 23(1)
University of Nigeria (NG)
Good health and well-being
Openalex Percentile: Top 11%
Diabetes Management and Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.