Association between poverty status and self care practices among diabetic patients in Morocco

Diabetes is a chronic and progressive disease that affects individuals' daily lives by causing both acute and chronic complications. Its control largely depends on self-management by the patient, but precarious socioeconomic conditions limit its effectiveness. This study aims to determine the impact of living in poverty on self-care practices among diabetic patients and identify the practices that are impaired by poverty. A cross-sectional analytical study was conducted among diabetic patients in the province of Agadir Ida Outane, Morocco. Self-care practices were measured via the Moroccan Arabic version of the SDSCA questionnaire. Logistic regression was employed to predict the relationship between poverty status and self-care practices after adjusting for potential confounding variables. The standard significance threshold was set at 0.05. Data processing and analysis were carried out via Jamovi statistical analysis software, version (2.3.28). A total of 377 confirmed diabetic patients who were receiving treatment were included in the study. The results of multiple logistic regressions show that poverty is associated with poor diabetes self-care practices (ORa = 1.72; 95% CI [1.01–2.94]; p = 0.047). The self-care dimensions significantly linked to poverty status are physical exercise (p = 0.005), blood glucose monitoring (p = < 0.001), and foot care (p = < 0.001). Implementing appropriate measures to strengthen diabetes self-management among patients in precarious socioeconomic conditions is essential.

Authors

Institutions

Publication Details

Journal
Discover Social Science and Health
Published
2025-12-02
DOI
https://doi.org/10.1007/s44155-025-00338-7
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

Association between poverty status and self care practices among diabetic patients in Morocco

Mohamed Lmejjati, Safiya Mahlaq, Aicha El Hanafi
Discover Social Science and Health
Diabetes Management and Education
article

Association between poverty status and self care practices among diabetic patients in Morocco

Mohamed Lmejjati, Safiya Mahlaq, Aicha El Hanafi
article en

Abstract

Diabetes is a chronic and progressive disease that affects individuals' daily lives by causing both acute and chronic complications. Its control largely depends on self-management by the patient, but precarious socioeconomic conditions limit its effectiveness. This study aims to determine the impact of living in poverty on self-care practices among diabetic patients and identify the practices that are impaired by poverty. A cross-sectional analytical study was conducted among diabetic patients in the province of Agadir Ida Outane, Morocco. Self-care practices were measured via the Moroccan Arabic version of the SDSCA questionnaire. Logistic regression was employed to predict the relationship between poverty status and self-care practices after adjusting for potential confounding variables. The standard significance threshold was set at 0.05. Data processing and analysis were carried out via Jamovi statistical analysis software, version (2.3.28). A total of 377 confirmed diabetic patients who were receiving treatment were included in the study. The results of multiple logistic regressions show that poverty is associated with poor diabetes self-care practices (ORa = 1.72; 95% CI [1.01–2.94]; p = 0.047). The self-care dimensions significantly linked to poverty status are physical exercise (p = 0.005), blood glucose monitoring (p = < 0.001), and foot care (p = < 0.001). Implementing appropriate measures to strengthen diabetes self-management among patients in precarious socioeconomic conditions is essential.

Discover Social Science and HealthVol. 6(1)
Mohammed V University (MA), Université Ibn Zohr (MA)
Openalex Percentile: Top 50%
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.