尼日利亚糖尿病患者斋月禁食意向和IDF-DAR风险分层：一项多中心横断面研究

Q3 Medicine

Endocrine and Metabolic Science Pub Date : 2026-03-01 Epub Date: 2026-03-10 DOI:10.1016/j.endmts.2026.100299

Tajudin Adesegun Adetunji , Akinyele Taofiq Akinlade , Raliyatu Aliyu Habibu , Umar Faruk Abdullahi , Muhammad Arabi Saad , Kabiru Bello Sada , Yakubu Lawal , Olayode Olajide , Yetunde Akuma , Ummulkhair Funke Adetunji , Olayinka Olomooba Saliu , Samson Adedeji Afolabi , Ibrahim Danjummai Gezawa

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引用次数: 0

摘要

尼日利亚是撒哈拉以南非洲穆斯林人口最多的国家之一，糖尿病（DM）是尼日利亚的一个主要公共卫生问题。许多患有糖尿病的穆斯林选择在斋月期间禁食，尽管有医疗豁免。国际糖尿病联合会-糖尿病和斋月联盟（IDF-DAR）的风险分层工具是为指导安全禁食而开发的，但此前尚未在尼日利亚应用。目的应用IDF-DAR 2021风险计算器评估尼日利亚穆斯林糖尿病患者的斋戒意向并对其风险水平进行分类。方法在这项横断面研究中，在2024年和2025年斋月前2 - 4周和第一周期间，从尼日利亚北部和西南部的7家三级医院招募了532名1型或2型糖尿病的穆斯林患者。排除后，对518例进行分析。收集社会人口学和临床数据，使用IDF-DAR工具对参与者进行风险分层，并记录禁食意图。数据分析采用描述性统计和卡方检验。结果参与者平均年龄57.9±13.0岁；61.2%为女性。多数为2型糖尿病（96.3%），其中51.0%病程≥10年。按IDF-DAR分类，低危31.7%，中危31.9%，高危36.5%。尽管如此，仍有404名参与者（78.0%）打算禁食。在高危人群中，74.6%的人计划禁食，但风险类别与意图无显著相关（p = 0.177）。结论该研究证明了在尼日利亚应用IDF-DAR工具的可行性，尽管没有评估预测的准确性和临床结果，但许多高危患者打算禁食。

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Ramadan fasting intentions and IDF-DAR risk stratification among Nigerian patients with diabetes mellitus: A multicentre, cross-sectional study

Background

Diabetes mellitus (DM) is a major public health problem in Nigeria, which has one of the largest Muslim populations in sub-Saharan Africa. Many Muslims with DM choose to fast during Ramadan despite medical exemptions. The International Diabetes Federation-Diabetes and Ramadan Alliance (IDF-DAR) risk stratification tool was developed to guide safe fasting, but has not been previously applied in Nigeria.

Objective

To apply the IDF-DAR 2021 risk calculator to evaluate fasting intentions and classify risk levels among Nigerian Muslims with diabetes.

Methods

In this cross-sectional study, 532 Muslim patients with type 1 or type 2 DM were recruited from seven tertiary hospitals in Northern and Southwestern Nigeria, 2–4 weeks before and during the first week of Ramadan in 2024 and 2025. After exclusions, 518 were analyzed. Sociodemographic and clinical data were collected, participants were risk-stratified using the IDF-DAR tool, and fasting intention was recorded. Data were analyzed with descriptive statistics and chi-square tests.

Results

Participants' mean age was 57.9 ± 13.0 years; 61.2% were female. Most had type 2 DM (96.3%), with 51.0% having disease duration >10 years. By IDF-DAR classification, 31.7% were low risk, 31.9% moderate risk, and 36.5% high risk. Despite this, 404 participants (78.0%) intended to fast. Among high-risk individuals, 74.6% planned to fast, though risk category was not significantly associated with intention (p = 0.177).

Conclusion

The study demonstrates the feasibility of applying the IDF-DAR tool in Nigeria, with many high-risk patients intending to fast, though predictive accuracy and clinical outcomes were not assessed.

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